Search Results (8,796)

Two-dimensional heterostructures have attracted considerable attention in electrocatalytic hydrogen evolution due to their pronounced interfacial effects, tunable electronic properties, and large specific surface areas. In this work, two representative oxygen-terminated transition metal carbides (MXenes) and three typical transition metal dichalcogenides (TMDs) were selected to construct six heterostructures. Using first-principles density functional theory (DFT) calculations, their binding energies, structural stability, electronic structures, and HER catalytic performance were systematically investigated. The results showed that all heterostructures possessed good thermodynamic stability and favorable electronic properties. In particular, SnS₂/Ti₂CO₂, SnSe₂/Ti₂CO₂, SnTe₂/Ti₂CO₂, and SnTe₂/Zr₂CO₂ exhibited near-optimal hydrogen adsorption Gibbs free energy, indicating excellent HER activity. Moreover, the variation in Gibbs free energy of hydrogen adsorption from isolated monolayers to heterostructures could be effectively correlated with the work function difference. The predicted trends provided a useful descriptor for catalytic performance. Overall, this study provides theoretical insights into the rational design of efficient, advanced HER catalysts and contributes to the advancement of sustainable energy conversion technologies. As this work is based solely on first-principles calculations, the predicted catalytic activity of the heterostructure should be regarded as a theoretical prediction and awaits experimental confirmation. Full article

Transposable elements (TEs) are inserted into the genome and may change its properties; those occurring in or near regulatory regions may also alter gene expression. Given the challenges of detecting insertions in short-read sequencing, we analyzed structural variants in polar and brown bear genomes by a reciprocal alignment of one species’ sample genomes to a reference sequence of the other species, thus inferring TE insertion as the other genome’s “deletions”. With this approach, we detected short interspersed elements (SINEs) belonging to the CAN SINE family as dominant fixed TEs. We observed a non-random distribution of CAN SINE insertion positions near both protein- and RNA-coding genes, where TEs often overlap UTRs or occur in their vicinity. In contrast, SINEs avoid coding sequences, suggesting TE insertions that would disrupt such sequences are under purifying selection. We used black bear as an outgroup and determined that most of the CAN SINE insertions in the polar bear genome were derived, since they are not present in black or brown bear, while there is no dominant trend for CAN SINE insertions in brown bear relative to the outgroup. Many of the genes with UTRs affected by CAN SINEs are potentially relevant to the differences between the species (body shape, size, etc.) or to Arctic-adaptation phenotypes such as fur color, metabolism, and the immune system. This supports a model that CAN SINEs have contributed to regulatory evolution in bears and provides further evidence of such events across carnivore genomes in the animal kingdom. Full article

The high numerical computing cost of time-fractional diffusion equation (tFDE) models over long time periods is a major obstacle to their real-world applications. Therefore, this study presents a rapid adaptive finite difference method, which uses the sum-of-exponentials (SOE) technique to quickly evaluate the kernel function and adopts the trial-and-error (T&E) method to select optimal time steps. For a uniform number of time steps N_T with T >> 1, the cumulative computational cost of the approximate fractional derivative can be reduced from O($N_T^2$) for the T&E method to O(N_T log N_T). To evaluate the accuracy and computational efficiency of the proposed method, a comprehensive comparison is conducted based on three numerical examples. Numerical results show that the SOE-T&E technique provides more accurate results with fewer grid points, compared with uniform mesh method. Moreover, the SOE-T&E technique reduces the computation time by 88.98% compared to the T&E method for the same error level in our numerical examples. Full article

Background: Small intestine bacterial overgrowth (SIBO) is associated with steatohepatitis (SH) in subjects with metabolic-associated steatotic liver disease (MASLD). The impact of ileocecal valve (ICV) incontinence, a major cause of SIBO in patients with MASLD, remains unknown because of the unmet need for a non-X-ray-dependent diagnosis. Methods: Exploiting water as contrast medium and colonic irrigation via a hydro-colon machine (Clean Colon Srl, Monza, Italy), we developed a new abdominal ultrasound (US) procedure for diagnosing and grading ICV incontinence. In a pilot, observational, feasibility and safety study, we correlated a new ICV incontinence parameter with irritable bowel syndrome (IBS, ROMA IV criteria), serum transaminases (AST, ALT), platelet counts, FIB-4, US liver steatosis and stiffness (LS, measured by Shear Wave and Transient Elastography, SWE and TE). Results: We prospectively studied 32 consecutive subjects with IBS who underwent a pre-colonoscopy colon cleansing after informed consent: 19 males (59%), body mass index (BMI) 26.6 ± 2.6 kg/m², age 57 ± 19 years, 16 (50%) with US liver steatosis. The half-hour (27 min, range 20–35 min) procedure was safe and well tolerated except in two males with prostate hypertrophy. ICV incontinence was graded (after 2500–3000 mL irrigation) according to cecum/right-colon distention with/without (immediate or delayed) reflux into terminal ileum (TI): 0 = cecum distension without TI reflux; 1 = cecum distension with TI reflux; 2 = absence of cecum distension with TI reflux. Cecum/right-colon distention (grade 0 or 1) was perceived by the patients whereas the right colon irrigation with complete ICV incontinence (grade 2) was symptomless. ICV continence associated with LS (p ≤ 0.0001). A histologic diagnosis of non-alcoholic steatohepatitis was confirmed in a 35-year-old obese male with SIBO and LS > 8 kPa (8.7/8.5 kPa by SWE/TE):steatosis (grade S3) with hepatocyte ballooning, lobular inflammation (grade 6/8) without fibrosis (stage 0/4, F0). Conclusions: The new US-based approach provides a feasible, easy-to-perform, mini-invasive tool for the diagnosis and grading of ICV incontinence. Preliminary results prompt prospective studies investigating the impact of ICV incontinence as a possible co-factor of steatohepatitis in patients with MASLD. Full article

The global transition toward green energy has increased demand for metals and intensified the need for sustainable supply sources. Tellurium (Te), an essential metal for photovoltaics technology, is produced primarily as a by-product of copper refinery slimes treatment. This study conducts a life-cycle assessment (LCA) study of Te production to investigate the effect of environmental impact allocation choices on LCA results in multi-product metal systems. A cradle-to-gate LCA model of the Te product system was developed in SimaPro v9.5.0.1 software by combining industrial data, Ecoinvent v3.7.1 datasets, and literature information. Environmental impacts were quantified using the ReCiPe v1.04 Midpoint method for a functional unit of 1 kg of refined Te. The product system’s multi-functionality was investigated using mass and economic allocation and a system sub-division method. Sensitivity analyses examined the effects of the Te concentration in anode slimes and their recovery efficiency on impact estimates. The results show that mass allocation assigns higher burdens to Te than economic allocation does. System sub-division yields significantly lower impacts than allocation procedures by attributing burdens only to Te-specific recovery processes. Higher Te grades and improved recovery efficiencies markedly reduced impact estimates. These findings demonstrate the importance of allocation choices on the LCA of by-product metals. Full article

The anomalous magnetic moment of the tau lepton, $a_{\tau }$, represents a fundamental test of the Standard Model (SM) and a high-sensitivity probe for New Physics in the third generation of leptons. Due to the tau’s extremely short lifetime, traditional spin-precession measurements remain inaccessible, necessitating innovative experimental strategies at high-energy colliders. This review provides a comprehensive overview of the current experimental landscape, highlighting the recent paradigm shift from LEP-era constraints to the unprecedented precision reached at the LHC. We emphasize the importance of Ultra-Peripheral Heavy-Ion Collisions (UPCs), which act as a “photon-photon collider” of extreme intensity. By leveraging the $Z^4$ enhancement of the coherent photon flux in Lead–Lead ($PbPb$) interactions, these collisions provide a theoretically robust “quasi-static” environment. To interpret these developments, we first establish the general theoretical framework within the Standard Model Effective Field Theory (SMEFT). This allows us to critically compare the UPC results with the latest measurements from proton–proton collisions—including the recent CMS observation of the $\gamma \gamma \to \tau \tau$ process and the ATLAS constraints from the high-mass Drell–Yan tail—evaluating their complementarity and the challenges related to Effective Field Theory validity at the TeV scale. Finally, we outline the future prospects for $a_{\tau }$ at Belle II and the Future Circular Collider (FCC) stages. While FCC-hh in $PbPb$ mode provides a theoretically clean environment, its sensitivity remains limited to $\mathcal{O}\left({10}^{-2}\right)$. Conversely, the next generation of lepton facilities, specifically Belle II and FCC-ee, aims for the $\mathcal{O}\left({10}^{-5}\right)$ level, required to probe SM electroweak loop corrections. Long-term projections for a high-energy Muon Collider suggest a potential reach of $\mathcal{O}\left({10}^{-6}\right)$. Full article

Integrating semi-transparent photovoltaics (STPV) into greenhouse structures offers an effective approach to optimizing the Food–Energy Nexus and maximizing sustainable land-use efficiency. However, a knowledge gap remains regarding how specific STPV spectral signatures drive plant morpho-physiological acclimation across multiple cultivation cycles. This study presents a 19-month multi-cycle, proof-of-concept evaluation of the structural growth dynamics and physiological responses of generative (tomato) and vegetative (lettuce) crops under greenhouse prototypes with two distinct thin-film STPV technologies: Cadmium Telluride (CdTe) and amorphous Silicon (a-Si), compared to an unshaded transparent control. Biometric monitoring revealed that morphological acclimation (Shade-Avoidance Syndrome) was highly plastic, driven by the interplay between spectral filtering and seasonal irradiance limits. While structural adaptations, such as foliar expansion and stem elongation under the a-Si spectrum, were pronounced during specific transitional seasons (e.g., early spring), these morphological differences largely homogenized across treatments during periods of extreme high or low natural irradiance. Despite the shading penalty, this morphological acclimation successfully sustained agronomic fresh mass. Systemic efficiency, quantified by the Land Equivalent Ratio (LER) as a relative biophysical synergy index, demonstrated notably crop-specific synergies. Under an extended single fruiting cycle, the CdTe prototype showed potential to improve yield, achieving a maximum LER of 1.66 for the high-light-demanding tomato (Y_crop = 1.40). Conversely, the a-Si module excelled with the shade-tolerant lettuce during early vegetative stages in high-radiation periods, achieving peak LERs up to 1.55. These findings provide a biophysical baseline to help guide future scalability assessments prior to full-scale commercial agrivoltaic (APV) implementation for sustainable food systems. Full article

Environmental degradation has intensified alongside rising carbon emissions driven by economic expansion, energy consumption, and transport activities. In recent decades, Middle Eastern economies have experienced substantial growth in tourism, trade openness, and energy use, raising concerns about their environmental consequences. This study investigates the impact of tourism activity, energy consumption, and trade openness on transport-related CO₂ emissions in ten Middle Eastern countries over the period 2000–2020. Data were obtained from the World Development Indicators (WDI) database of the World Bank. Using a panel autoregressive distributed lag (ARDL) framework, the analysis captures both short-run dynamics and long-run equilibrium relationships. To improve measurement robustness, tourism activity is proxied using two alternative indicators: international tourism expenditures (TEs) and international tourism receipts (TRs). The empirical results indicate that tourism activity and energy consumption significantly increase transport-related CO₂ emissions in both the short and long run, while trade openness does not exert a statistically significant long-run effect. These findings suggest that tourism expansion and energy-intensive transport systems are key contributors to environmental pressure In the region, whereas the environmental impact of trade may be indirect or conditional. The study highlights the importance of integrating sustainable tourism policies and improving energy efficiency. In addition, it underscores the need to develop low-carbon transport strategies to support environmentally sustainable economic development in Middle Eastern economies. Full article

The discovery of the Higgs boson in 2012 at the Large Hadron Collider marked a major milestone in our understanding of electroweak symmetry breaking. Since then, increasingly precise measurements by the ATLAS and CMS Collaborations, based primarily on proton–proton collision data at \(\sqrt{s}\) = 13 TeV corresponding to about 140 fb−1 per experiment, have confirmed its compatibility with Standard Model predictions within current uncertainties. The Higgs boson mass is now measured with a precision of about 0.08%, while its couplings to fermions and bosons are determined at the 7–20% level. The completion of the LHC programme and the High-Luminosity LHC, will probe Higgs boson couplings at the fewpercent level. However, sub-percent precision is required for stringent tests of the Standard Model, as any deviation would signal new physics beyond it. This strongly motivates future collider facilities, designed both as high-precision Higgs factories and, in many cases, as energy-frontier machines. Within the framework of the update of the European Strategy for Particle Physics, we discuss the physics case and main characteristics of the proposed particle collider options, highlighting their complementarity, technological challenges, and expected performance. The 2026 Strategy Update identifies the FCC-ee collider as the preferred next flagship project at CERN. Operating at the Z pole and at centre-of-mass energies between 240 and 365 GeV, it would enable model-independent, per-mille-level precision on Higgs boson couplings, while providing a pathway to a future high-energy hadron collider. The Higgs sector thus constitutes a central laboratory for precision tests of the Standard Model and for exploring the fundamental structure of our universe. Full article

Patients with neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) frequently lose the ability to communicate through speech or writing. However, their cognitive and sensory functions are often relatively preserved. In Japan, the traditional method known as kuchimoji (mouth-based character communication) enables character-by-character communication using mouth shapes. This method relies heavily on caregiver skill and is challenging to implement consistently. This study introduces KUCHIMOJI, a Japanese text input system that uses mouth-shape recognition to support independent augmentative and alternative communication (AAC) without caregiver assistance. The system employs a lightweight convolutional neural network (MobileNetV2) to classify six mouth shapes. These shapes correspond to five vowels and a closed-lip state. To accommodate diverse user conditions, a multimodal input framework is designed. It supports three operation modes: facial-image-based signal input, button-based input, and key-based direct input. As an initial feasibility study, experiments with ten healthy participants were conducted to evaluate text entry performance in terms of text entry speed (TES) and miss entry rate (MER). Results indicate that the system achieves average input speeds of 3.86, 5.32, and 11.35 characters per minute (cpm) for the facial-image, button, and key-based modes, respectively. It maintains low error rates (2.96–5.05%). These findings suggest that the system offers a flexible trade-off between speed and accuracy depending on the input modality. The proposed approach provides a practical, low-cost, non-contact communication solution. This underscores its potential forpractical assistive communication applications. Full article

Ionic liquid-based localized high-concentration electrolytes, leveraging their intrinsically nonflammable safety characteristics and wide electrochemical windows, have emerged as strong contenders for next-generation lithium metal battery electrolytes. However, because such systems are anion-rich, the electrolyte bulk phase tends to form solvation structures dominated by bulky anionic clusters along with an excess of free anions, which triggers persistent and uncontrollable anion decomposition at the interphase. To address this issue, we adopt a strategy of constructing a compressed solvation structure by introducing a weakly interacting chlorinated diluent (TeCA), which helps form a compact solvation environment and alleviates excessive anion decomposition at electrode interphases. In this work, 1,1,2,2-tetrachloroethyl acetate (TeCA) was introduced as a weakly coordinating chlorinated diluent into an ionic-liquid localized high-concentration electrolyte (LHCE) to regulate the Li⁺-FSI⁻ solvation environment. By combining Raman spectroscopy, molecular dynamics simulations, and electrochemical characterization, the TeCA-LHCE system was found to exhibit altered ion-cluster configurations, improved oxidation tolerance, and enhanced interfacial stability under high-voltage conditions. The as-prepared TeCA-LHCE electrolyte presents improved electrochemical performance in comparison with TTE-LHCE and the baseline electrolyte (BE). The Li||Cu half-cell employing TeCA-LHCE achieved a high Coulombic efficiency above 99% over 500 cycles and formed a uniform and dense lithium deposition layer without obvious dendritic growth. When paired with a high-loading NCM811 cathode (10 mg cm⁻²), the TeCA-LHCE-based Li||NCM811 full cell delivered significantly improved cycling stability and rate capability under a high cutoff voltage of 4.3 V. Full article

Environmental sustainability disclosure has become increasingly critical as climate risks intensify and regulatory and investor demands for transparent, decision-useful information continue to grow. It plays a key role in reducing information asymmetry and supporting capital allocation, risk assessment, and regulatory oversight. However, prior studies predominantly rely on aggregated ESG indicators and linear models, which often fail to capture the structural heterogeneity and nonlinear relationships inherent in environmental data. This study develops a machine learning-based analytical framework to examine environmental disclosure using corporate data from the Taiwan Economic Journal (TEJ) from 2022 to 2024. A polarized sampling design is employed by selecting firms in the top and bottom 20% of ESG performance to identify and compare the distinctive disclosure characteristics of companies with high versus low environmental performance. Five models are evaluated using Accuracy, Precision, Recall, F1-score, and AUROC. The results show that ensemble models outperform traditional approaches, with CatBoost achieving the most robust performance. Feature importance analysis reveals a concentrated structure dominated by carbon emissions, energy efficiency, and waste management, while the importance of renewable energy variables increases over time. These findings highlight the nonlinear and multidimensional nature of environmental disclosure and demonstrate the value of machine learning in enhancing environmental sustainability analysis, investment decision-making, and regulatory effectiveness. As this study is based on a single-country dataset (Taiwan), future research may incorporate cross-country datasets to improve external validity. Full article

This study evaluated beetroot powder as a natural colorant and partial nitrite replacer in frankfurters. Five formulations were prepared: control with nitrite curing salt, T1 and T2 with 25% and 50% nitrite replacement, T3 with complete nitrite replacement, and T4 with complete nitrite replacement plus ascorbic acid. The samples were analyzed for physicochemical properties, color, water-holding capacity, cooking yield, sensory quality, antioxidant activity, total phenolic content, and lipid oxidation during 7 days of refrigerated storage at 2–3 °C. Beetroot powder markedly increased redness in uncooked frankfurters, with a* values rising from 13.84 in the control to 37.20 in T3 and 35.31 in T4. T2, T3, and T4 also improved cooking yield, reaching 90.19%, 90.42%, and 89.84%, respectively, compared with 85.85% in the control. T2 showed the highest total sensory score (23.3), while T3 had the lowest acceptability (19.8). During storage, T4 showed the strongest oxidative stability, with TBARS increasing from 0.23 to 1.10 mg MDA/kg, compared with 0.44 to 2.42 mg MDA/kg in T3. T4 also maintained the highest DPPH activity and total phenolic content after 7 days: 2.53 μmol TE/g and 95.68 mg GAE/kg, respectively. Beetroot powder improved color and antioxidant potential, but complete nitrite replacement required ascorbic acid to control oxidation and maintain quality. These findings support the use of beetroot powder–ascorbic acid systems in reduced-nitrite frankfurter formulations. Full article

The objective of this study is to explore the beliefs of teacher educators (TE) and pre-service teachers (PST) regarding cultural diversity and its relationship with teaching-learning practices, to contribute to strengthening Initial Teacher Education (ITE) with an intercultural approach. A quantitative observational, descriptive, and cross-sectional pilot study was conducted using a survey administered to 230 PST and TE from 18 Chilean universities. The results showed that TE exhibited higher levels of negative beliefs (d = 1.00; p < 0.001) and less favorable educational practices to cultural diversity (p = 0.012). Although no statistically significant differences were observed in favorable educational practices, a trend toward higher scores was identified among PST. Regression models indicated that the teaching role was significantly associated with negative beliefs, whereas the other variables showed no significant associations. Overall, the findings suggest a dissociation between stated and structural beliefs regarding cultural diversity, which may influence the implementation of intercultural pedagogical practices in teacher education. They underscore the need to strengthen intercultural training—particularly among TE—through critical reflection to align beliefs and pedagogical practices, and to advance future research on the evolution of these beliefs and their impact on teaching practice. Full article

In this study, we present a thermal-aware design of a compact hybrid plasmonic grating (HPG) TE-pass polarizer on X-cut lithium niobate on insulator (LNOI) for fiber-optic gyroscopes (FOGs). In a three-dimensional simulation, the optimization of the trapezoidal sidewall angle (θ = 78°) and the thickness of the Ag grating (13 nm) yield a polarization extinction ratio of 36.2 dB at 1550 nm (with a peak of 41.4 dB at 1548 nm) within a sub-10 μm grating length. This represents a ~3–8 dB improvement over prior LNOI HPG polarizers at the same footprint. A multiphysics thermo-optic analysis over the wide industrial FOG envelope (from −45 to +85 °C) demonstrates that the operating-wavelength polarization extinction ratio remains within the range of 24.7–36.2 dB across the entire 130 K span (worst case 24.7 dB at −25 °C), constrained solely by a modest 10 pm/K Bragg detuning stemming from the pronounced (~5) thermo-optic anisotropy of LN. The insertion loss exhibits a negligible drift of merely 0.73 dB. A fabrication tolerance study identified the Ag thickness as the predominant budgetary constraint (±1 nm tolerance, PER dropping ~10 dB at the resonance edge), while the ridge width and oxide buffer demonstrated comparatively greater flexibility. The device, therefore, fulfills the criteria for FOG-grade polarization suppression across most of the operational temperature range. The −25 °C point is established at the 25 dB threshold, thereby providing concrete design guidelines for ensuring environmentally stable on-chip polarization control on LNOI. Full article