Search Results (401)

This study examined the effect of executive function training targeting both updating and inhibition in children. The training included both single training (i.e., number 2-back training) and combined training (i.e., number 2-back and fish flanker training). Event-related potentials were also recorded. In Experiment 1, we employed both single-training and combined-training groups, which were contrasted with each other and with an active control group. In Experiment 2, the control group and the combined-training group were recruited to perform training tasks identical to those used in Experiment 1, and their EEG data were collected during the pretest and posttest stage. Experiment 1 found that the single group showed clear evidence for transfer to letter 2-back task compared with the active control group. The combined group showed significant transfer to the letter 2-back and arrow flanker task. Both groups found no transfer to fluid intelligence or shifting. Experiment 2 revealed that the participants who received updating and inhibition training showed a significant reduction in N2 amplitude and a significant increase in P300 amplitude after training in comparison to the active control group. Importantly, there was a significant positive correlation between reduced N2 amplitude and decreased response time in conflict effects. Additionally, there was a strong positive trend toward a relationship between behavioral performance improvement and an increase in P300 amplitude. From the perspective of the near-transfer effect, combined training is more effective than single training. Our results showed that the extent of transfer depends on the cognitive component overlap between the training and transfer tasks. Full article

Background: Current cosmological fits typically assume a direct relation between cosmic time (t) and the scale factor ($a\left(t\right)$), yet this ansatz remains largely untested across diverse observations. Objectives: We (i) test whether a single power-law scaling ($a\left(t\right)\propto t^{\alpha }$) can reproduce late- and early-time cosmological data and (ii) explore whether a dynamically evolving ($\alpha \left(t\right)$), modeled as a scalar–tensor field, naturally induces directional asymmetry in cosmic evolution. Methods: We fit a constant-$\alpha$ model to four independent datasets: 1701 Pantheon+SH0ES supernovae, 162 gamma-ray bursts, 32 cosmic chronometers, and the Planck 2018 TT spectrum (2507 points). The CMB angular spectrum is mapped onto a logarithmic distance-like scale ($\mu ={log}_{10}{D}_{\ell }$), allowing for unified likelihood analysis. Each dataset yields slightly different preferred values for $H_0$ and $\alpha$; therefore, we also perform a global combined fit. For scalar–tensor dynamics, we integrate $\alpha \left(t\right)$ under three potentials—quadratic, cosine, and parity breaking (${\alpha }^{3}sin\alpha$)—and quantify directionality via forward/backward evolution and Lyapunov exponents. Results: (1) The constant-$\alpha$ model achieves good fits across all datasets. In combined analysis, it yields $H_0\simeq 70\mathrm{km}{\mathrm{s}}^{-1}{\mathrm{Mpc}}^{-1}$ and $\alpha \simeq 1.06$, outperforming $\Lambda$CDM globally ($\Delta \mathrm{AIC}\simeq 401254$), though $\Lambda$CDM remains favored for some low-redshift chronometer data. High-redshift GRB and CMB data drive the improved fit. Numerical likelihood evaluations are approximately three times faster than for $\Lambda$CDM. (2) Dynamical $\alpha \left(t\right)$ models exhibit time-directional behavior: under asymmetric potentials, forward evolution displays finite Lyapunov exponents (${\lambda }_L\sim {10}^{-3}$), while backward trajectories remain confined (${\lambda }_L<0$), realizing classical arrow-of-time emergence without entropy or quantum input. Limitations: This study addresses only homogeneous background evolution; perturbations and physical derivations of potentials remain open questions. Conclusions: The time-scaling approach offers a computationally efficient control scenario in cosmological model testing. Scalar–tensor extensions naturally introduce classical time asymmetry that is numerically accessible and observationally testable within current datasets. Code and full data are available. Full article

A small-scale supersonic flight experiment vehicle is being developed at Muroran Institute of Technology as a flying testbed for verification of innovative technologies for high-speed atmospheric flights, which are essential to next-generation aerospace transportation systems. Its baseline configuration M2011 with a cranked-arrow main wing with an inboard and outboard leading edge sweepback angle of 66 and 61 degrees and horizontal and vertical tails has been proposed. Its aerodynamics caused by attitude motion are required to be clarified for six-degree-of-freedom flight capability prediction and autonomous guidance and control. This study concentrates on characterization of such aerodynamics caused by rolling rates in the subsonic regime. A mechanism for rolling a wind-tunnel test model at various rolling rates and arbitrary pitch angle is designed and fabricated using a programmable stepping motor and an equatorial mount. A series of subsonic wind-tunnel tests and preliminary CFD analysis are carried out. The resultant static derivatives have sufficiently small scatter and agree quite well with the static wind-tunnel tests in the case of a small pitch angle, whereas the static directional stability deteriorates in the case of large pitch angles and large nose lengths. In addition, the resultant dynamic derivatives agree well with the CFD analysis and the conventional theory in the case of zero pitch angle, whereas the roll damping deteriorates in the case of large pitch angles and proverse yaw takes place in the case of a large nose length. Full article

Albumin is the most abundant protein synthesized exclusively by the hepatocytes in the liver. Once secreted into plasma, it helps in the maintenance of osmotic pressure, as well as the exertion of defensive roles such as anti-oxidative and anti-inflammatory functions. Dysregulation in the synthesis and clearance of albumin is observed in various hepatic and extra-hepatic diseases. Abnormal levels of albumin could be either a cause or an effect of various pathological ailments, including hepatic, cardiac, renal, neurological, etc. Owing to its long half-life and multiple binding sites in its heart-shaped structure, it interacts with various internal agents, such as hormones, or external substances like drugs, which is why transportation can be one of its many functions. Additionally, albumin’s drug interactions, as well as displacement of albumin–drug binding, could have serious clinical consequences, and careful considerations should be made in determining an appropriate drug regimen to achieve a desired therapeutic outcome with minimal side effects. Moreover, albumin also undergoes several post-translational modifications that can influence its physiological roles, including drug binding and antioxidant functions. Furthermore, it has a complicated role in physiology, where it can help in maintaining plasma oncotic pressure and prevent endothelial cell apoptosis but can have adverse effects on the lungs and kidneys. These adverse effects are mainly attributed to ER stress and inflammasome activation. This narrative review provides an overview of the general biology of albumin and its effects in physiology, with a focus on its beneficial and adverse effects and the underlying molecular mechanisms. Full article

Weak sustainability (WS) requires that the inclusive wealth (IW) of a place (e.g., the world, a nation, or a sub-national region) be non-decreasing over a long time. The WS framework provides a more complete account of the sustainability of a place than do sustainability indicators or conventional economic measures, such as gross domestic product. However, while many decisions that affect sustainability are made at regional and local levels, the abstract theory of WS was developed without explicit recognition of the porosity of geographic boundaries and the interdependencies of regions. In this paper, we make three contributions: a carefully reasoned defense of IW per capita as the WS criterion, an improved understanding of the relationship between mobility, labor productivity, and regional economic growth, and an empirical application to US counties that demonstrates the feasibility of empirical regional WS assessment by summarizing Jones’ research. This analysis, extending the framework developed by Arrow and co-authors, accounts for more region-specific factors related to population, most notably the labor productivity component of health capital, and assesses IW per capita for all 50 states and 3108 counties in the US from 2010 to 2017. These improved methods revealed substantially more states and counties that were not WS relative to results using the Arrow et al. framework. The not-WS counties exhibited a distinct rural bias, as regional scientists have suspected but, nevertheless, the majority of rural counties were WS. Our work demonstrated that regional WS assessment is feasible, produces results that are consistent with prior expectations based on reasoning and empirical research, and has the potential to provide fresh insights into longstanding questions of regional development. Full article

Passengers often struggle to identify intended pickup locations when autonomous taxis (ATs) arrive, leading to confusion and delays. While prior external human–machine interface (eHMI) studies have focused on pedestrian crossings, few have systematically compared feedback modes and display positions for AT pickup guidance at varying distances. This study investigates the effectiveness of three eHMI feedback modes (Eye, Arrow, and Number) displayed at two positions (Body and Top) for communicating AT pickup locations. Through a controlled virtual reality experiment, we examined how these design variations impact user performance across key metrics including selection time, error rates, and decision confidence across varied parking distances. The results revealed distinct advantages for each feedback mode: Number feedback provided the fastest response times, particularly when displayed at the top position; Arrow feedback facilitated more confident decisions with lower error rates in close-range scenarios; and Eye feedback demonstrated superior performance in distant conditions by preventing severe identification errors. Body position displays consistently outperformed top-mounted ones, improving users’ understanding of the vehicle’s intended actions. These findings highlight the importance of context-aware eHMI systems that dynamically adapt to interaction distances and operational requirements. Based on our evidence, we propose practical design strategies for implementing these feedback modes in real-world AT services to optimize both system efficiency and user experience in urban mobility environments. Future work should address user learning challenges and validate these findings across diverse environmental conditions and implementation frameworks. Full article

Autonomous vehicles are one of the key components of smart mobility that leverage innovative technology to navigate and operate safely in urban environments. Traffic light detection systems, as a key part of autonomous vehicles, play a key role in navigation during challenging traffic scenarios. Nighttime driving poses significant challenges for autonomous vehicle navigation, particularly in regard to the accuracy of traffic lights detection (TLD) systems. Existing TLD methodologies frequently encounter difficulties under low-light conditions due to factors such as variable illumination, occlusion, and the presence of distracting light sources. Moreover, most of the recent works only focused on daytime scenarios, often overlooking the significantly increased risk and complexity associated with nighttime driving. To address these critical issues, this paper introduces a novel approach for nighttime traffic light detection using the LNT-YOLO model, which is based on the YOLOv7-tiny framework. LNT-YOLO incorporates enhancements specifically designed to improve the detection of small and poorly illuminated traffic signals. Low-level feature information is utilized to extract the small-object features that have been missing because of the structure of the pyramid structure in the YOLOv7-tiny neck component. A novel SEAM attention module is proposed to refine the features that represent both the spatial and channel information by leveraging the features from the Simple Attention Module (SimAM) and Efficient Channel Attention (ECA) mechanism. The HSM-EIoU loss function is also proposed to accurately detect a small traffic light by amplifying the loss for hard-sample objects. In response to the limited availability of datasets for nighttime traffic light detection, this paper also presents the TN-TLD dataset. This newly curated dataset comprises carefully annotated images from real-world nighttime driving scenarios, featuring both circular and arrow traffic signals. Experimental results demonstrate that the proposed model achieves high accuracy in recognizing traffic lights in the TN-TLD dataset and in the publicly available LISA dataset. The LNT-YOLO model outperforms the original YOLOv7-tiny model and other state-of-the-art object detection models in mAP performance by 13.7% to 26.2% on the TN-TLD dataset and by 9.5% to 24.5% on the LISA dataset. These results underscore the model’s feasibility and robustness compared to other state-of-the-art object detection models. The source code and dataset will be available through the GitHub repository. Full article

Indigenous grape varieties from the Hrvatska Istra subregion (Croatia) represent a significant proportion of regional wine production. In this study, the potential of six indigenous varieties—Malvazija istarska, Garganja, Duranija, Surina, Hrvatica, and Teran—for the traditional method for the production of sparkling wines was evaluated. Several of these varieties are currently underutilized or neglected in contemporary viticulture. A total of 85 volatile aroma compounds, including acids, alcohols, esters, C13-norisoprenoids, and terpenes, were identified and quantified using SPME-Arrow-GC/MS. Sensory evaluation was conducted using a structured nine-point hedonic scale. Among the compounds identified, C13-norisoprenoids (notably β-damascenone, TPB, and TDN) and esters (including ethyl 3-methylbutanoate, ethyl butanoate, and ethyl hexanoate) were found to contribute most significantly to the overall aromatic profile of the sparkling wines. Sensory profiles varied distinctly among the varieties. Some varieties demonstrated pronounced aromatic and structural characteristics, making them suitable for monovarietal sparkling wine production, while others exhibited complementary sensory properties more appropriate for cuvées. This study represents the first comprehensive chemical and descriptive sensory profiling of sparkling wines produced from these Istrian indigenous grape varieties. These findings aim to support their valorization and integration into the broader spectrum of sparkling wine production, thereby enhancing their recognition and market potential. Full article

We survey developments in the use of entropy maximization for applying the Gibbs Canonical Ensemble to finite situations. Biological insights are invoked along with physical considerations. In the game-theoretic approach to entropy maximization, the interpretation of the two player roles as predator and prey provides a well-justified and symmetric analysis. The main focus is placed on the Lagrange multiplier approach. Using natural physical units with Planck’s constant set to unity, it is recognized that energy has the dimensions of inverse time. Thus, the conjugate Lagrange multiplier, traditionally related to absolute temperature, is now taken with time units and oriented to follow the Arrow of Time. In quantum optics, where energy levels are bounded above and below, artificial singularities involving negative temperatures are eliminated. In a biological model where species compete in an environment with a fixed carrying capacity, use of the Canonical Ensemble solves an instance of Eigen’s phenomenological rate equations. The Lagrange multiplier emerges as a statistical measure of the ecological age. Adding a weak inequality on an order parameter for the entropy maximization, the phase transition from initial unconstrained growth to constrained growth at the carrying capacity is described, without recourse to a thermodynamic limit for the finite system. Full article

This article presents the design process for a modern stage trapdoor, which was designed to optimize the work of cultural facilities personnel and increase the attractiveness of future performances and events. Strength calculations for the supporting structure were carried out in the Soldis DESIGNER program, and based on these, a 3D model of the stage trapdoor was designed and placed in the space of the stage chimney. In order to verify and analyze the strength of the structure, the 3D model was prepared for detailed analysis in the Autodesk Inventor program. Tests were carried out for four load cases of the structure for 15 different load values. Information about the maximum value of the deflection arrow and the maximum stress was obtained. Collected data were organized in tables and displayed in line and column charts, based on which conclusions were drawn. These analyses showed a high degree of compliance between calculations from both programs. It was found that in this type of structure, a detailed analysis in 3D CAD programs is not necessary for the proper design of the supporting structure, which allows for simplification of the design process. The designed trapdoor meets all design requirements and can be implemented as a solution to improve the functionality and aesthetics of the stage’s technical equipment. Full article

Spacecraft separation safety is the key characteristic of flight safety. Obtaining the velocity and distance curves of spacecraft and booster at the separation time is at the core of separation safety analysis. In order to solve the separation velocity measurement problem, this paper introduces the YOLOv8_n target detection algorithm and the circle fitting algorithm based on random sample consistency (RANSAC) to measure the separation velocity of space targets according to a space-based video obtained by a monocular camera installed on the spacecraft arrow-shaped body. Firstly, MobileNetV3 network is used to replace the backbone network of YOLOv8_n. Then, the circle fitting algorithm based on RANSAC is improved to improve the anti-interference performance and the adaptability to various light environments. Finally, by analyzing the imaging principle of the monocular camera and the results of circle feature detection, distance information is obtained, and then the measurement results of velocity are obtained. The experimental results based on a space-based video show that the YOLOv8_n target detection algorithm can detect the booster target quickly and accurately, and the improved circle fitting algorithm based on RANSAC can measure the separation speed in real time while maintaining the detection speed. The ground simulation results show that the error of this method is about 1.2%. Full article

The Wnt signalling pathway plays a crucial role in tissue homeostasis and cancer biology due to its regulation of cellular processes, including proliferation, migration, and stem cell activity. Frizzled receptor 7 (FZD7) (a member of the F-class G protein-coupled receptors) has emerged as a key Wnt receptor within this pathway, which is elevated in several human malignancies. FZD7 is notably upregulated in gastrointestinal, breast, pancreatic, and hepatocellular carcinomas and transmits oncogenic Wnt signalling through canonical and non-canonical pathways. FZD7 promotes tumour initiation, and emerging evidence implicates FZD7 in cancer stem cell maintenance and epithelial–mesenchymal transition (EMT), reinforcing its role in metastasis. Therapeutic strategies targeting FZD7 have shown promise, including FZD7-specific monoclonal antibody-drug conjugates (ADCs), human single-chain fragment variable (scFVs) antibodies, and nanoparticles. Notably, our recent development of FZD7-ADC has demonstrated tumour-selective cytotoxicity with reduced off-target effects, positioning FZD7 as an attractive therapeutic target. Additionally, nanoparticle-based drug delivery systems have enhanced the precision of existing chemotherapies by targeting FZD7-expressing tumour cells. Despite significant advances, clinical translation remains a challenge due to potential on-target toxicity and the complexity of tumour microenvironments. Future research should focus on optimising delivery systems, refining antibody specificity, and conducting comprehensive preclinical and clinical trials. This review will focus on novel discoveries regarding FZD7 in cancer and provide an update on our original review on this subject in 2016. Additionally, we present new figures generated by our group using the publicly available Pan-Cancer Atlas RNAseq datasets, highlighting FZD7 expression patterns in patient samples. This integrated approach aims to provide updated insights into the function of FZD7 during cancer and its growing status as an attractive target for therapy. In summary, FZD7 stands out as a promising molecular target in cancer therapy due to its selective overexpression in tumours, functional role in Wnt-driven oncogenesis, and potential for innovative therapeutic applications. This review underscores the critical need for the continued exploration of FZD7-targeted therapies to improve patient outcomes in cancer treatment. Full article

This work explores the implications of assuming time symmetry and applying bridge-type, time-symmetric temporal boundary conditions to deterministic laws of nature with random components. The analysis, drawing on the works of Kolmogorov and Anderson, leads to two forms of governing equations, referred to here as symmetric and antisymmetric. These equations account for the emergence of characteristics associated with conventional thermodynamics, the arrow of time, and a form of antecedent causality. The directional properties of time arise from the mathematical structure of Markov bridges in proximity of the corresponding temporal boundary conditions, without requiring any postulates that impose a preferred direction of time. Full article

Background and Objective: The global population is struggling with significant health challenges, among which overweight and obesity stand out. Currently, 61% of adults and 7.5% of children and adolescents are affected, underscoring the urgent need for effective solutions. This study evaluated appetite-reducing prototypes related with food products, focusing on their ability to influence appetite through the sense of smell. The objective was to determine the effectiveness of these prototypes and identify the most promising candidates for further research. Methods: A questionnaire-based consumer survey was performed for six appetite-reducing agents. Forty-five participants with elevated body mass index values (BMI ≥ 25) were asked to verify the samples in terms of aroma intensity, pleasure, and potential for appetite reduction. Also, qualitative parameters such as the identification of the samples’ food associations was performed within the questionnaire. The questionnaire results were further compared with headspace solid-phase microextraction (HS-SPME Arrow) analysis results to identify volatile organic compounds associated with appetite-reducing properties. Results: The proof-of-concept study revealed that prototypes with unpleasant and irritating aromas demonstrated the highest appetite-reducing potential, scoring approximately 24 out of 35 points. Conversely, prototypes with pleasant, dessert-like aromas showed lower effectiveness, scoring between 14 and 18 points. Conclusions: By linking consumer perceptions to chemical analyses, we identified effective prototypes for further investigation, including studies measuring actual food intake. These findings contribute to developing innovative, non-invasive strategies to address overweight and obesity, offering a new dimension to appetite control through sensory modulation. Full article

Background: Firefighters face elevated chronic disease risks, and interventions promoting healthier lifestyles are essential for improving their well-being. This study aimed to beta test and further evaluate a healthy lifestyle app (HLS app) for firefighters. Methods: Beta usability testing was conducted with new firefighters after using the app. Pilot testing was conducted in two cohorts, (1) the Connecticut Fire Academy Class A-CCA after graduation and (2) the Connecticut Class B-CCB and Miami-Dade Fire Rescue Academy, during academy training to evaluate the potential efficacy of the HLS app in improving healthy lifestyle behaviors, mental health, and physical fitness over three months of use. Results: Beta testing (n = 93) revealed positive usability feedback, with 62% finding it useful for their health. Pilot testing after graduation (n = 28) was associated with increased push-up capacity (35.6 ± 11.7 vs. 42.9 ± 16.1, p = 0.006) and improved mental health scores. Pilot testing during academy training (n = 90) was associated with improvements in push-up capacity (33.8 ± 10.8 vs. 41 ± 10.6, p < 0.001), pull-ups (7 [4–11] vs. 10.5 [6–14], p < 0.001), 1.5-mile run time (11.96 ± 1.43 vs. 11.26 ± 1.1, p < 0.001), BMI (26.7 [24.3–29.7] vs. 25.95 [24.0–28.8], p < 0.001), and mental health scores. Conclusions: The app was well received and showed potential for improving firefighter health. A randomized controlled trial is needed to rigorously evaluate the effectiveness of the HLS app. Full article