Search Results (3,140)

Triboelectric nanogenerators (TENGs) provide a powerful route for translating mechanical interactions into electrical signals, offering unique opportunities for self-powered sensing and human-machine interfaces (HMIs). Yet a persistent gap remains between high-performance laboratory demonstrations and reliable, scalable systems for real-world use. This gap arises not only from triboelectric materials or device configurations, but also from the electrode, which has long been viewed as a passive charge collector. In practical TENG systems, electrodes must simultaneously enable efficient charge extraction, stable electromechanical contact, mechanical compliance, environmental robustness and manufacturable integration. These requirements are strongly coupled and often conflicting, making electrode design a central bottleneck in the development of application-ready TENGs. In this Review, we position electrode engineering as an integrated strategy that connects material design, structural configuration and fabrication methodology. We discuss how these dimensions jointly define device output, durability, scalability and application boundaries, with particular emphasis on self-powered HMIs. By reframing electrodes as active functional interfaces, this Review provides design principles for next-generation triboelectric devices and intelligent self-powered systems. Full article

Liquid biopsy, the analysis of tumor-derived material in blood, saliva, and other body fluids, is increasingly explored for the diagnosis, surveillance, and molecular characterization of head and neck squamous cell carcinoma (HNSCC). Its performance, however, is not uniform across the disease, and the reason is fundamentally molecular. human papillomavirus (HPV)-positive oropharyngeal cancers carry viral oncogenes that are absent from the host genome and therefore provide a near ideal, tumor specific circulating marker, whereas HPV-negative tumors are driven by a heterogeneous somatic landscape that offers no single universal target. In this narrative review, we adopt a molecular perspective. We first examine the biological origin of circulating tumor DNA and of the other analytes that liquid biopsy can interrogate including circulating tumor HPV DNA, viral transcripts, microRNAs, extracellular vesicles, and methylation signatures. We then consider how analytical platforms, from droplet digital PCR to next generation and ultrasensitive whole-genome sequencing, translate these molecules into measurements. Only afterward do we discuss the clinical questions, organized by clinical objective rather than by individual study: diagnosis and early detection, prognosis and risk stratification, treatment response monitoring, minimal residual disease and surveillance, and biomarker guided de-escalation in HPV-positive disease. Twelve registered clinical trials, involving approximately 1183 patients, are presented as illustrations of these questions. We close on the biological and technical gaps that still separate promising signals from clinical practice, and on the multi analyte and dynamic strategies most likely to bridge them. At present, liquid biopsy should be regarded as a complementary tool rather than as a replacement for established clinicopathological assessment. Full article

Benefiting from excellent high-frequency characteristics and superior radiation tolerance, InP is an indispensable material for next-generation high-speed communications, widely applied in optical communication, 6G radio frequency chips, AI optical interconnection, and aerospace radiation-hardened electronics. Although ion implantation greatly promotes the performance optimization of InP-based devices, it inevitably induces lattice displacement defects that degrade device reliability. Hence, quantitative evaluation of the threshold displacement energy (TDE) and dominant defect configurations in InP is essential. Our calculations reveal that the average threshold displacement energy is 18.20 eV for In atoms and 18.94 eV for P atoms. The E_d distributions for both In and P atoms predominantly lie below 30 eV and rarely exceed 40 eV. From 150 K to 900 K, In and P have a large mass difference and exhibit distinct temperature-dependent trends. The threshold displacement energy of In decreases with increasing temperature, whereas that of P rises as temperature increases. Based on the structural analysis of Frenkel pairs formed by displaced atoms, the dominant interstitial configurations are identified. These results provide detailed insights for damage evaluation and defect structure characterization in InP, benefiting ion implantation process optimization and radiation-hardening design of InP electronic devices. Full article

This study reports the synthesis and comprehensive characterization of a novel 5% cadmium-doped cerium oxide/reduced graphene oxide (5% Cd-CeO₂/rGO) nanocomposite for the enhanced visible-light-driven photocatalytic degradation of methyl orange (MO). The nanocomposite was prepared using a simple co-precipitation method followed by thermal reduction, which integrates the excellent electron-transport properties of reduced graphene oxide (rGO) with the oxygen-vacancy-rich characteristics of Cd-doped CeO₂, resulting in improved photocatalytic performance. The successful synthesis of the nanocomposite and the direct interaction between the rGO sheets and ultrafine CeO₂ nanoparticles were verified through structural and morphological analyses using Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, Transmission Electron Microscopy (TEM), and Scanning Electron Microscopy (SEM). XPS results indicated an increase in the Ce³⁺ concentration and oxygen vacancy density after Cd doping and rGO incorporation, both of which play a crucial role in enhancing photocatalytic activity. Under visible-light irradiation, the 5% Cd-CeO₂/rGO nanocomposite exhibited substantially higher photocatalytic activity and methyl orange (MO) degradation efficiency than pristine CeO₂ and reduced graphene oxide (rGO). The improved photocatalytic performance demonstrates the beneficial role of combining metal-ion doping with conductive carbon supports to facilitate charge separation and electron transport in semiconductor photocatalysts. The developed nanocomposite also shows promising potential for the design of next-generation semiconductor-based materials for photocatalytic, energy conversion, and optoelectronic applications. Full article

In Iceland, dyed textiles carried meanings beyond aesthetics and function. Through textile production and circulation, woollen cloth, including vaðmál as one historically important example, became central to the Icelandic economy and offers a material perspective on technological practice, exchange systems, and regional connections. This paper presents a pilot methodological study exploring the combined use of fibre optic reflectance spectroscopy (FORS) and a reference corpus developed in Spectragryph for the preliminary assessment of possible dye classes in preindustrial textile case studies from Icelandic collections. The approach provides a rapid, portable, and non-invasive framework for spectral comparison prior to complementary molecular analysis, with targeted LC–MS of selected archaeological textiles planned as the next phase of the research. Following botanical and ethnographic research, a reference corpus of 351 wool samples was assembled, including undyed fleece controls, experimentally dyed fibres, and ethnographic dyed yarns preserved in museum collections. Seven case studies are presented, comprising four archaeological textiles and three early modern ecclesiastical textiles preserved in the collections of the National Museum of Iceland. The spectra show reflectance features consistent with possible indigoid and anthraquinone-related dye classes in several of the analysed textiles, whereas possible flavonoid- and tannin-related patterns generally remain non-diagnostic. At the same time, degradation, contamination, natural fleece pigmentation, and overlapping chromophoric signals frequently complicate interpretation, particularly in archaeological materials and darker tonal ranges. The study illustrates the potential of FORS combined with structured spectral comparison as a non-invasive first-stage methodology for dye analysis in Icelandic textile case studies, while highlighting the limitations of reflectance-based interpretation and the need for complementary molecular analysis for definitive compound-level identification. Full article

The construction sector faces a critical need to minimize its carbon footprint, which is currently stimulating the development of geopolymer concrete using recycled coarse aggregates as an eco-friendly material compared with Portland cement. Accurate prediction of the compressive strength of this eco-efficient concrete is complex, however, as a result of the complex, non-linear interactions between many of the mix-design and curing parameters. Although modern scientific literature and engineering practices have increasingly adopted machine learning (ML) for concrete strength prediction, a significant scientific gap remains. Most existing studies rely on “black-box” models that lack sufficient interpretability and frequently overlook the severe risk of data leakage during validation, limiting their practical engineering application. To address this gap, this study proposes a robust, data-leakage-aware framework driven by a rigorous nested GroupKFold cross-validation strategy. By grouping concrete samples by their unique Mix_ID, this approach ensures genuine generalization to entirely unseen mixtures. Within this reliable validation scheme, the CatBoost algorithm is utilized for compressive-strength prediction, with the Dung Beetle Optimizer (DBO) serving as an effective tool for hyperparameter tuning. The evaluation results across multiple random seeds show that the DBO–CatBoost model significantly outperforms the default CatBoost, rigorously tuned baseline models (Support Vector Regression and Random Forest), and a comparative metaheuristic benchmark (PSO–CatBoost). It achieves the most stable distribution of errors and excellent predictive accuracy (Test ${\mathrm{R}}^2=0.9995\pm 0.0002$, RMSE = $0.3828\pm 0.0909$). In addition, the model predictions were demystified using the methods of SHapley Additive exPlanations (SHAP) and partial dependence plots (PDPs). The interpretability analysis revealed strong statistical associations, showing that Curing Time and Coarse Aggregate are the most prominent predictive features and the strongest pairwise interaction between each other; the NaOH molar concentration is the most important second-level influence on optimization of strength. Overall, the framework provides a robust data-driven screening tool that can assist in preliminary mix-design evaluation. By reducing the reliance on extensive empirical “trial and error” approaches, this predictive model supports more efficient material usage and facilitates preliminary optimization of low-carbon concrete formulations. Theoretically, this study advances the fundamental science of geopolymer materials by explicitly quantifying the complex, non-linear interactions between alkaline activators, curing conditions, and recycled aggregates. This provides a robust data-driven theoretical foundation for designing and optimizing next-generation eco-friendly concrete products and structures. Full article

Two-dimensional indium selenide (InSe) is a promising material for next-generation electronics, characterized by a small electron effective mass and ultrahigh room-temperature mobility. This review systematically examines the fundamental physics and emerging quantum phenomena intrinsic to InSe. It also addresses the recent discovery of sliding ferroelectricity, which breaks macroscopic spatial inversion symmetry and yields robust polarization states without conventional displacive ionic dynamics. Technological progress from mechanical exfoliation to scalable bottom-up metal–organic chemical vapor deposition is evaluated. The review also covers advanced architecture enabled by InSe, including sub-3 nm-node logic transistors and nonvolatile ferroelectric synaptic devices. Finally, key challenges involving stoichiometric control, back-end-of-line-compatible integration, and environmental instability are discussed in the context of future low-power and neuromorphic computing. Full article

Triply Periodic Minimal Surfaces (TPMSs) represent a progressive class of cellular materials with high potential for high-tech applications. This review provides a comprehensive analysis of TPMS architectures, linking their mathematical underpinnings and advanced CAD modeling in PTC Creo Parametric 12 with technological aspects of additive manufacturing and macroscopic mechanical response. The work critically compares dominant topologies such as Schoen Gyroid, Schwarz Diamond, and Schwarz Primitive, focusing on the differences between uniform and functionally graded (FG-TPMS) structures. From a production perspective, this study identifies key process limitations of PBF-LB/M and SLA additive technologies, in particular the issues of unsintered powder accumulation, geometric deviations, and the negative impact of surface roughness (satellite particles) on fatigue life. Analysis of mechanical behavior confirms the superiority of sheet-based modifications in kinetic energy absorption, where specifically tailored FG-TPMS topologies exhibit stable deformation plateaus and controlled, progressive failure modes under compression. The conclusion of the work summarizes established applications in biomedical engineering for the elimination of stress shielding, as well as emerging trends in the field of 4D printing and acoustic metamaterials. This review serves as a comprehensive engineering guide for the optimization and implementation of next-generation porous structures. Full article

Diamond has emerged as a promising ultrawide-bandgap semiconductor material for next-generation electronics because of its unique combination of a wide bandgap, high critical electric field, superior carrier transport properties, exceptionally high thermal conductivity, and strong chemical and radiation stability. Over the past two decades, progress in crystal growth, substrate engineering, surface control, dielectric integration, and device fabrication has advanced diamond electronics beyond early proof-of-concept demonstrations. The review connects material properties, growth, doping, defects, and figures of merit with reported performance in hydrogen-terminated field-effect transistors, MOSFETs, Schottky and p–i–n diodes, and related power-device architectures. Emerging opportunities in ultraviolet photodetectors, multifunctional electronics, and memory-oriented diamond devices are also briefly considered. Among the device classes reviewed, diamond diodes currently show the strongest evidence of high-voltage capability, whereas transistor development remains constrained by threshold-voltage control, normally off operation, contact resistance, interface stability, and reliability. Diamond is therefore more likely to complement than replace established SiC and GaN technologies, particularly in specialized high-field, high-temperature, radiation-rich, and chemically demanding applications. Broader deployment will require scalable low-defect wafers, reliable n-type doping, stable interfaces and contacts, and more cost-effective manufacturing. Full article

Structural colors, generated by the physical interaction of light with micro- and nanostructured architectures, have emerged as an important platform in nanophotonics owing to their high color saturation, exceptional photostability, and long-term color durability. This review provides a comprehensive overview of recent advances in structural colors and establishes a unified classification framework based on their macroscopic angular optical responses. The intrinsic angular characteristics of four fundamental color-generation mechanisms are first distinguished, providing the physical basis for classifying structural colors into iridescent and non-iridescent systems. Representative iridescent architectures, including thin films, one-dimensional (1D) to three-dimensional (3D) photonic crystals, and diffraction gratings, are systematically reviewed, together with non-iridescent strategies based on independent plasmonic and dielectric resonators, quasi-amorphous structures, and engineered metasurfaces. Strategies for enhancing structural color visibility and saturation through absorption management are further discussed, particularly for suppressing undesired broadband and multiple-scattering backgrounds. Additionally, this review systematically summarizes quantitative methodologies for evaluating structural colors, including spectral metrics, CIE 1931 and CIE1976 color spaces, CIEDE2000 color difference, quantitative angular-response metrics, spatial resolution and pixel limits, and structural-order characterization using orientation parameters and two-dimensional fast Fourier transform (2D FFT) analysis. Particular attention is given to the quantitative assessment of angular stability through wavelength shifts and perceptual color differences, while recognizing that a universally accepted numerical boundary between iridescent and non-iridescent coloration has not yet been established. Representative functional applications are also reviewed, including self-cleaning coatings, passive daytime radiative cooling, label-free chemical and gas sensing, reflectometric interference spectroscopy (RIfS), surface-enhanced Raman scattering (SERS), and anti-counterfeiting. By integrating color-generation mechanisms, angular optical responses, quantitative evaluation methods, and functional applications, this review provides a unified framework for objectively comparing structural color platforms and highlights key trade-offs among color quality, angular stability, structural precision, durability, scalability, and multifunctionality, thereby providing design guidance for next-generation optical materials and devices. Full article

The development of lightweight, low-cost, and high-performance non-precious metal electrocatalytic electrodes is critical to advancing the practical implementation of methanol and urea oxidation reactions (MOR and UOR) in next-generation energy conversion systems. Herein, we reported a facile synthesis of a W-Se co-modified porous Ni/Cu paper electrode (W-NiSe/Cu_p) via synchronous pulse electrodeposition onto filter paper-derived porous Cu foil. The hierarchical porosity and high specific surface area originated from the paper template, while synergistic electronic modulation among Ni, W, and Se enhanced intrinsic catalytic activity. At 0.8 V, the W-NiSe/Cu_p electrode delivered current densities of 298 mA·cm⁻² (MOR) and 305 mA·cm⁻² (UOR) with a lower-mass loading, representing 1.29-fold and 1.34-fold enhancements over the Ni/Cu_p electrode. Furthermore, the electrode exhibited exceptional durability: under chronopotentiometry operation at 100 mA·cm⁻² in a 6-fold-concentrated electrolyte (6 M KOH + 3.0 M CH₃OH + 1.98 M CO(NH₂)₂), the operating potentials retained 95.74% (MOR) and 118.05% (UOR) of their initial values after 9 h. This study offers a novel strategy for designing lightweight non-precious metal catalytic electrodes for portable energy devices and also verifies the broad potential of biomass templates in constructing advanced energy electrocatalytic materials. Full article

Bone loss represents a significant clinical burden that has driven the development of improved orthopedic graft substitutes. Although current grafting options, including autografts, allografts, and xenografts, have demonstrated considerable therapeutic potential, their widespread application is constrained by limitations such as donor scarcity, limited availability, and associated clinical risks. Consequently, biologically derived materials, including avian eggshells and marine bivalve shells, have emerged as promising alternative sources to produce bone precursor materials and next-generation bone graft substitutes. This review summarizes recent advances in avian eggshell- and marine shell-derived calcium carbonate (CaCO₃) materials for bone regeneration and examines their preclinical evaluation in diverse animal models, including critical-size defects in calvarial, femoral, radial and mandibular bone. Relevant studies published over the past ten years were systematically analyzed, focusing on natural calcium carbonate systems derived from avian eggshell and marine shells, including oyster, mussel, clam, scallop, cockle, and sea urchins. A structured literature search was conducted using PubMed, Scopus, and Google Scholar to identify studies published between 2015 and 2025 investigating eggshell- and aquatic-derived biomaterials for bone repair and regeneration. Eligible studies were screened, and data were comparatively analyzed with respect to biomaterial source, scaffold fabrication, physicochemical characteristics, mechanical performance, biocompatibility, osteogenic potential, and the use of preclinical animal studies. Eggshell-derived biomaterials currently show the strongest translational evidence, while aquatic shell-derived biomaterials remain promising but underexplored for bone regeneration. Furthermore, this review critically examines the scientific, manufacturing, and regulatory challenges that must be addressed before clinical implementation. Full article

Pectin, a natural biopolymer, is a cost-effective, biocompatible, non-toxic, abundant, and flexible material, making it suitable for recording high-quality bioelectric signals from the dynamic surface of the human body. In this work, pectin-based flexible bioelectrodes were developed for the non-invasive monitoring of biopotentials. The bioelectrodes are composed of pectin, polyaniline emeraldine salt (PANI-ES), glycerol, and polydimethylsiloxane (PDMS) and therefore abbreviated as PPGP. The PPGP electrodes demonstrated a bulk electrical conductivity of (7.54 ± 0.81) × 10⁻³ S/cm, a very low impedance of 34 Ω, and a high charge storage capacity of 4.63 ± 2.70 mC/cm². The surface morphology of the PPGP electrode plays a crucial role in enhancing biopotential signal detection by improving adhesion to skin contours. PPGP electrodes have been successfully used for high-fidelity electromyographic (EMG) bioelectric signal measurements. The developed PPGP bioelectrodes have the potential to advance next-generation human–machine interface (HMI) technologies and wearable healthcare systems, including prosthetic control, rehabilitation monitoring, and assistive communication devices. Full article

Sweet potato (Ipomoea batatas (L.) Lam) is an important global food crop, but its production is threatened by numerous viral pathogens. More than 30 RNA and DNA viruses have been reported worldwide, making rapid and accurate detection essential for disease management, epidemiological surveillance, germplasm exchange, and resistance breeding. Although previous reviews have addressed sweet potato viruses and individual diagnostic methods, a comprehensive synthesis of emerging molecular technologies remains limited. This review addresses that gap by critically integrating recent advances from PCR-based and isothermal assays to high-throughput sequencing, CRISPR-based diagnostics, biosensors, nanotechnology, and artificial intelligence-driven detection platforms. Conventional approaches, including symptom observation, biological indexing, electron microscopy, and ELISA, have contributed to early virus identification but often lack the sensitivity, specificity, and speed needed for modern diagnostics. Molecular and isothermal techniques have substantially improved detection accuracy and enabled rapid identification and field-deployable diagnostics of diverse and mixed infections, while sequencing, CRISPR, biosensors, and AI-based platforms offer greater capacity for detecting novel and emerging viruses. This review discusses the comparative evaluation of molecular technologies for sweet potato virus detection in terms of diagnostic performance, cost-effectiveness, speed, and suitability for both laboratory and field applications, while highlighting future priorities for next-generation virus diagnostics. Integrating portable and high-throughput diagnostic platforms will strengthen virus surveillance, support virus-free planting material production, and promote sustainable sweet potato production worldwide. Full article

Efficient interfacial thermal transport in two-dimensional heterostructures is essential for improving heat dissipation and operational stability in next-generation energy conversion and energy electronic devices. Here, nonequilibrium molecular dynamics simulations are employed to investigate the thermal transport behaviors of WSSe/MoS₂ and WSSe/MoSe₂ lateral heterostructures. Unlike the commonly assumed flat interface, both heterostructures spontaneously form an intrinsically curved interface after relaxation, introducing a unique structural feature for phonon transport. The armchair interface exhibits higher interfacial thermal conductance than the zigzag counterpart due to stronger phonon coupling. Furthermore, external strain can effectively regulate thermal transport through the competition between interface flattening and phonon scattering, while increasing temperature enhances thermal conductance by activating low-frequency phonons. In contrast, vacancy defects also significantly suppress heat transfer by disrupting interfacial bonding. This work reveals the critical role of intrinsic interface curvature in phonon-mediated thermal transport and provides a new strategy for designing high-performance thermal management materials based on Janus heterostructures for advanced energy conversion and storage technologies. Full article