Browse Articles

Retraction Note: Insight into molecular and mutational scrutiny of epilepsy associated gene Gabrg2 leading to novel computer-aided drug designing

Inside Front Cover: Persistent Mono‐Oxo Bonding with Protactinium(V) Revealed in Highly Acidic Chloride Solutions (Angew. Chem. Int. Ed. 11/2026)

MM FD ConvFormer multimodal frequency aware deformable CNN transformer network for robust brain tumor classification

Maternal Bacillus probiotic regulates offspring growth and immunity via spleen IGF-1/mTOR and FOXO1/IL-10 pathways

Differential effects of voluntary exercise and Totum-448, a plant-based formulation, in a hamster model of MASLD

Abstract Lifestyle interventions constitute first-line strategies for the management of metabolic dysfunction-associated steatotic liver disease (MASLD), with dietary modification and increased physical activity forming the core evidence-based approaches. In this framework, plant-based supplements are being investigated as potential adjunctive strategies. Totum-448, a polyphenol-rich plant formulation, has shown promising effects in preclinical studies. Here, we evaluated the effects of Totum-448, voluntary exercise (Vex), and their combination in a hamster model of MASLD. Fifty-four male golden Syrian hamsters were fed either a normal diet (ND) or a Western diet (WD) for six weeks. WD-fed animals were then randomized to receive WD alone, WD supplemented with Totum-448 (5% w/w), WD with Vex, or WD with both interventions for an additional five weeks. We hypothesized that only the combined intervention would elicit measurable benefits. Contrary to this hypothesis, distinct effects were observed for each intervention: Totum-448 reduced circulating lipid levels and downregulated hepatic markers of inflammation and fibrosis, whereas Vex improved body composition, increased energy expenditure, and reduced hepatic lipid content. No significant improvements were detected in histological markers of inflammation or fibrosis. The combined intervention did not provide additional benefits beyond those of the individual interventions. In conclusion, Totum-448 and Vex exert complementary effects in MASLD. Although no additive effects were observed, the combined intervention provided the broadest overall protection by preserving the benefits of each intervention alone. These findings support the relevance of combining exercise with plant-based nutritional strategies in the management of MASLD.

Optimal nano-silica filler concentration to optimize kinetics, rheology and bonding of self-adhesive composites

Abstract To determine how silica nanoparticle (NanoSi) content modulates polymerization kinetics, dentin bonding, and interfacial adaptation in self-adhesive flowable resin composites (SAFRCs). Five UDMA/PPGDMA/10-MDP SAFRCs containing 0, 2.5, 5, 7.5, or 10 wt% NanoSi were compared to a commercial reference (Vertise Flow, VF). Real-time ATR-FTIR provided t 0.5 , Rp max , delay time, and DC max ; viscosity was measured under controlled shear. Shear bond strength (SBS) was tested at 24 h. Masson’s trichrome and environmental SEM (E-SEM) assessed interfaces. Two-way MANOVA examined formulation and exposure time (20 vs 40 s) effects on kinetics; one-way ANOVA analyzed µSBS (ɑ = 0.05). Formulation and time significantly affected the multivariate kinetic response (Wilks’ λ_formulation = 0.1905, p  = 0.0099; Wilks’ λ_time = 0.4296, p  = 0.0045), with no interaction. NanoSi_2.5 polymerized fastest (Rp max 3.17 ± 0.43%·s⁻ 1 ); NanoSi_5 was slowest (1.61 ± 0.26%·s⁻ 1 ). DC max increased with filler, peaking at NanoSi_10 (78.77 ± 2.64%); extending exposure from 20 to 40 s raised DC max by 10.23 ± 2.16% without altering kinetics. All pastes were shear-thinning, with viscosity rising monotonically with NanoSi. SBS differed among materials (ANOVA F  = 3.14, p  = 0.02): VF was highest (8.6 ± 2.2 MPa); NanoSi_0 reached 6.0 ± 1.1 MPa (NS vs VF); NanoSi_2.5–5 clustered lower (~ 3–4 MPa) and NanoSi_7.5 reached the minimum. Trichrome and E-SEM showed thin, continuous interfaces at 0–2.5 wt% and increasing porosity/thin separations at 7.5–10 wt%. Nanosilica altered cure, flow and interfacial quality trade-offs; faster early kinetics and higher final conversion did not translate into higher SBS, emphasizing the need to optimize interfacial wetting/adaptation alongside mechanical parameters in SAFRC design. A formulation window may exist in which flow, cure, and bonding are balanced to enhance the clinical potential of self-adhesive composites.

Biomimetic climbing robot design inspired by geckos and cats for rough wall applications

Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm

The Diarylprolinol Silyl Ethers: After 20 Years Still Opening New Doors in Asymmetric Catalysis

ABSTRACT A new chapter starts now . Since its discovery in 2005, the diarylprolinol silyl ether catalytic concept has emerged as a general and reliable aminocatalytic tool for the synthesis of enantioenriched molecules. Recently its combination with emerging technologies, as well as its application in more complex molecular systems has opened new avenues for novel enantioenriched scaffolds. In this review, we will highlight these recent developments, unfolding five primary categories that define new horizons in the use of diarylprolinol silyl ethers: Photochemical‐, electrochemical‐, dual‐catalytic transformations, higher‐order cycloadditions and applications in total synthesis of complex natural products.

Unraveling Biomimetic Hydrogen Bonds of Dinucleotides by a Crown‐Ether‐Functionalized Tetraphenylethene‐Based Cage

Abstract Natural biological systems achieve precise recognition and regulation of nucleic acids through multi‐domain synergistic interactions. Herein, we report the design and synthesis of a crown‐ether‐functionalized tetraphenylethene‐based cage ( 1 •8X, X = PF 6 ˉ or Clˉ) with two distinct recognition sites—four flexible, amphiphilic 18‐crown‐6 (18‐C‐6) units and a rigid, hydrophobic cavity. Its multi‐cavity architecture offers an enzyme‐like microenvironment, replicating the cooperative recognition behavior seen in natural receptors. As a result, 1 •8Clˉ promotes distinctive hydrogen‐bonded assemblies of dinucleotides with various sequences in aqueous environments. Notably, 1 •8Clˉ facilitates a stable G•C•G•C quartet upon binding with two d(GpC), while assembling into an unprecedented C•C•C•C quartet in a 1:4 stoichiometric ratio with d(CpC). Additionally, 1 •8Clˉ selectively recognizes the 5′‐base of dinucleotides or specifically binds to T base, promoting the formation of non‐classical base‐pairing patterns such as G•G, T•(H 2 O) 2 •T, and T•(K + )•T dimers in crystalline states. This study systematically investigates the hydrogen‐bonding patterns of dinucleotides in biomimetic environments, providing new insights into the design of biomimetic receptors and understanding the diversity of non‐classical nucleic acid structures.

Outside Back Cover: Unraveling Biomimetic Hydrogen Bonds of Dinucleotides by a Crown‐Ether‐Functionalized Tetraphenylethene‐Based Cage (Angew. Chem. Int. Ed. 11/2026)

Research on the formation mechanism of social media burnout among college students based on the ISM-MICMAC model

Abstract This study employs the ISM–MICMAC framework to investigate the structural architecture of social media burnout among university students, aiming to delineate the hierarchical interdependencies and logical pathways of its contributing factors. Utilizing a Delphi-based synthesis, 15 critical variables were identified across individual, psychological, technological, and informational dimensions. The Interpretive Structural Modeling (ISM) results categorize these factors into four distinct levels, unraveling a structural progression where platform-technical mechanisms and deep-seated psychological responses function as the foundational drivers. Complementary MICMAC analysis reveals that factors such as algorithm recommendations and social comparison occupy the Independent Cluster, exerting high driving power over subsequent perceived overloads. This research provides a systematic roadmap for understanding the intricate formation of burnout, shifting the focus from mere symptom management to addressing the root-level structural pressures within digital social environments.

Real world evaluation of multiparametric MRI using diffusion weighted imaging and MRCP for pancreatic cancer surveillance

Performance analysis of fuzzy control strategy for tractor semi-active seat suspension

A techno-economic and ai-based optimization framework for hybrid energy systems supplying rural telecom base stations

Abstract This paper introduces a strict AI-based framework of analysis of HRES in technical and economic dimensions to drive remote BTS.The proposed system delivers a total power output of 1.2 kW at − 48 V and 23 A, ensuring compatibility with standard telecom load requirements. A year’s worth of hourly simulation data is utilized to train and validate a range of forecasting algorithms, including linear regression, decision tree models, support vector machines (SVM), Gaussian process regression (GPR), kernel-based autoregressive moving average (KARMA) and feedforward neural networks (NN). EMS simulation results showed that hybrid solar-wind accounted for an average of 78.6% of the total daily load served, while fuel-based system usage was reduced by over 76% compared to conventional systems. The results confirm that intelligent forecasting and optimal dispatch strategies significantly improve system efficiency, reduce fossil fuel dependency and enhance the sustainability of HRES in decentralized telecom towers.

Predictability comparison of central corneal thickness reduction in myopic eyes with or without astigmatism undergoing FS-LASIK with two profiles of MEL 90

FMCL: a transformer-based feature-map classifier learning approach for enhanced brain tumor detection in MRI

Network toxicology study and key target validation of chlorpyrifos-induced nonalcoholic fatty liver disease

Projected intensification of precipitation extremes in the Kosi Basin using CMIP6 models

Real-Time stability enhancement of DDPMSG-based tidal hybrid power systems using heuristic optimization

Abstract In this research, we analyze the optimal configuration and stability issues associated with a tidal hybrid power system employing a Direct Drive Permanent Magnet Synchronous Generator (DDPMSG). The Tidal system has become unstable since the natural tidal pattern and wind power input have been disturbed. The use of a controller for the Unified Power Flow Controller (UPFC) makes the system stable. Stability analysis, which uses Eigen and Nyquist plots, is used to see how well the proposed controllers work. Additionally, it is evident that the regulator can be effectively calibrated when the variables significantly influence the system’s performance. So, to find the best output for the suggested controller, it is best to use heuristic optimization methods like the Differential Evolution Algorithm (DEA) and the Firefly Algorithm (FA), followed by hybrid FA. The results indicate that the hybrid FA-based system demonstrates enhanced stability, evidenced by increased performance in settling time, rising time, peak overshoot, and damping. The performance and durability assessment of the controller in question is executed using real-time data via OPAL-RT 5142, a digital simulation platform tailored for real-time applications.