Search Results (7,187)

The accurate reconstruction of vehicle paths is essential for effective highway toll management. To address the challenge of multiple possible paths due to missing trajectory data, this study proposes a novel two-stage model for vehicle path reconstruction. In the first stage, a Gaussian Mixture Model (GMM) is integrated into a path choice model to estimate the mean and standard deviation of travel times for each road segment, utilizing an improved Expectation Maximization (EM) algorithm. In the second stage, based on the estimated time parameters, path choice prior probabilities and observed data are combined using maximum likelihood estimation to infer the most probable paths among candidate routes. The results indicate that the improved EM algorithm achieved convergence in 17 iterations compared to 41 iterations for the traditional EM algorithm. The two-stage model outperforms the Shortest Path and Bidirectional Long Short-Term Memory models in path reconstruction, particularly with a high number of missing trajectory points. Additionally, when the number of candidate paths $K=4$, the path reconstruction performance is optimal. These results demonstrate the effectiveness of the proposed method in handling sparse and incomplete trajectory data, offering robust and accurate vehicle path estimations that enhance traffic management and toll calculation precision. Full article

Background: The association between the triglyceride-glucose (TyG) level, its obesity-related derivatives, and the occurrence of endometriosis (EMS) remains ambiguous, particularly in individuals with higher levels of education. This study sought to explore the relationship between TyG, its obesity-related derivatives, and EMS across various educational backgrounds. Methods: This study utilized a substantial dataset obtained from four cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006. To explore the relationship between TyG, its obesity-related derivatives, and EMS, we employed a variety of analytical methods, including multivariable logistic regression models, smooth curve fitting, threshold effect analysis, and subgroup analysis, which were applied to participants with varying educational levels. Results: Among the 2347 participants, 203 (8.65%) were diagnosed with EMS. In the overall population, only the TyG, TyG-waist-to-height ratio (TyG-WHtR), and TyG-waist circumference (TyG-WC) variables demonstrated a positive association with EMS. However, within the group with high educational attainment, TyG, TyG-WHtR, TyG-WC, and TyG-body mass index (TyG-BMI) all exhibited positive correlations with EMS. These associations remained robust after adjustment for multiple potential confounding variables. The subgroup analysis demonstrated that these associations were consistent across different subgroups (p > 0.05). Furthermore, both linear and nonlinear relationships were observed between TyG and its obesity-related derivatives and EMS, as evidenced by the smooth curve fittings and threshold effect analyses. In contrast, no significant associations were identified in the group with lower levels of education. Conclusions: Our study suggests that there is variation in the association between TyG and its obesity-related derivatives and EMS across different educational levels, warranting further investigation. In individuals with higher education, elevated levels of TyG and its obesity-related derivatives were associated with a higher prevalence of EMS. Conversely, this correlation was not observed among those with lower educational levels. Full article

Upconversion (UC) luminescence in doped lanthanide nanocrystals is associated with the energy migration (EM) process within clusters of dopant ions. The process of the synthesis of core–shell nanocrystals occurs at elevated temperatures, promoting the diffusion of the dopants into the shell accompanied by the decay of dopant clusters. The details of this unwanted effect are poorly understood. In this paper, we theoretically study a model of the diffusion of dopant ions in a nanocrystal using Monte Carlo (MC) simulations. We characterize the diffusion, spatial neighboring relations and clustering of dopant ions regarding the function of reduced temperature and MC time of the heating process. The dopants undergo a weak subdiffusion caused by trapping effects. The main results of this study are as follows: (i) the phase diagram of the variables reduced the temperature and MC time, which separates the enhanced and limited cluster-driven EM regimes, and (ii) a dependence of the average nearest distance between Yb ions as a function of reduced temperature, the concentration of Yb ions and MC time was found. In both cases, the requirements for an effective EM are formulated. Full article

Min pigs, a prominent local breed from Northeast China, have diverged into two distinct breeds, Ermin (EM) pigs and Hebao (HB) pigs, through prolonged natural and artificial selection. Although these two breeds exhibit distinct differences in body size, the genetic mechanisms underlying this variation remain poorly understood. In this study, we performed whole-genome resequencing and transcriptome analysis on EM and HB pigs to elucidate the genetic basis of body size variation in Min pigs through genome-wide selection signal analysis and the identification of differentially expressed genes (DEGs). The analysis of genetic diversity and population genetic structure across 14 pig breeds revealed that, compared with other breeds, Min pigs present relatively high genetic diversity and a unique genetic structure. Notably, EM pigs exhibited significant genetic differentiation from HB pigs. Integrated analysis of whole-genome resequencing and transcriptome data revealed candidate genes associated with body size variation in Min pigs, including ENPP1, ENPP3, SPP1, CLU, ITGA11, ITGB1, IQGAP2, BMP7, and F2RL2. These genes are enriched primarily in pathways related to ECM–receptor interactions; pantothenate and CoA biosynthesis; starch and sucrose metabolism; nicotinate and nicotinamide metabolism; pyrimidine metabolism; nucleotide metabolism; cellular responses to lipids; biomineral tissue development; biomineralization; and other pathways related to cell signaling, metabolic responses, lipid deposition, and skeletal development. Notably, ITGB1 on chromosome 10 showed strong positive selection in EM pigs, with an SNP locus exhibiting a significant G/A allele frequency difference between EM pigs (G = 52.94%, A = 47.06%) and HB pigs (G = 0%, A = 100%). Our findings suggest that Min pigs potentially modulate lipid metabolism efficiency in adipose tissue through variations in the expression of the ITGB1 gene, potentially contributing to body size differences. These results provide new insights into the genetic mechanisms underlying body size variation in domestic pigs and serve as a valuable reference for identifying and breeding pig breeds with distinct body sizes. Full article

Conventional motorcycles with internal combustion engines have significantly contributed to air pollution in Southeast Asia, posing challenges to achieving the ambitious net-zero emissions targets ratified by ASEAN member countries. In response, ASEAN countries have begun to adopt electric vehicles to achieve this ambitious target, especially electric motorcycles (EMs). However, the implementation of EMs faced several obstacles, notably limited battery range and insufficient charging infrastructure. Addressing these issues requires a huge investment from EM users and infrastructure providers. The government also plays a significant role in improving the investment climate for the EM ecosystem by providing financial incentives. This research aimed to model cost variables to evaluate the cost-effectiveness of government subsidies for EMs and their charging infrastructure in Malaysia using an equivalent annual cost (EAC) model and determine whether increasing battery capacity or increasing charging infrastructure would be more favorable. Data were collected through interviews with EM dealers, government agency, electric vehicle experts, and surveys of EM users in Malaysia, supplemented with secondary data through research articles, government regulations, and current news related to EM policies implemented in Malaysia. Surveys and interviews with relevant stakeholders were conducted to identify cost variables that influenced EM ownership and operation of EM infrastructure. This study found that Scenario 1 (subsidize EM purchases and charging infrastructure while excluding the battery purchase subsidy) was an optimal subsidy strategy for the government. Scenario 1 also reduced the EAC value, which is a cost burden for EM users, by 10.06% (for battery swap system users) and 5.84% (for direct charging system users). Additionally, this study also found that encouraging the use of EMs with battery swap systems was more profitable than EMs with direct charging systems. The findings of this research provide some insights about the most cost-efficient subsidy scenario for overcoming the obstacles, fostering a win–win situation for both EM users and the government. Thus, accelerating EM adoption forms part of the government’s goal to achieve net-zero emissions. Full article

Eutrophication in Canadian lakes degrades water quality, disrupts ecosystems, and poses health risks due to potential development of harmful algal blooms. It also economically impacts the general public, industries like recreational and commercial fishing, and tourism. Analysis of a 140-year core record from Utikuma Lake, northern Alberta, revealed the processes behind the lake’s current hypereutrophic conditions. End-member modeling analysis (EMMA) of the sediment grain size data identified catchment runoff linked to specific sedimentological processes. ITRAX X-ray fluorescence (XRF) elements/ratios were analyzed to assess changes in precipitation, weathering, and catchment runoff and to document changes in lake productivity over time. Five end members (EMs) were identified and linked to five distinct erosional and sedimentary processes, including moderate and severe precipitation events, warm and cool spring freshet, and anthropogenic catchment disturbances. Cluster analysis of EMMA and XRF data identified five distinct depositional periods from the late 19th century to the present, distinguished by characteristic rates of productivity, rainfall, weathering, and runoff linked to natural and anthropogenic drivers. The most significant transition in the record occurred in 1996, marked by an abrupt increase in both biological productivity and catchment runoff, leading to the hypereutrophic conditions that persist to the present. This limnological shift was primarily triggered by a sudden discharge from a decommissioned sewage treatment lagoon into the lake. Spectral and wavelet analysis confirmed the influence of the Arctic Oscillation, El Niño Southern Oscillation, North Atlantic Oscillation, and Pacific Decadal Oscillation on runoff processes in Utikuma Lake’s catchment. Full article

Water quality is a crucial determinant in decision-making processes aimed at optimizing resource allocation across various industries. Pollutant impurities that hinder the sufficient supply of water have a deleterious impact on the quality and are damaging to living species, especially aquatic life. Various chemical and biological treatments are used to reduce water pollution levels. A technology involving a mixture of anaerobic and aerobic beneficial microbes is becoming popular for its eco-friendly characteristics. Effective Microorganism (EM) technology utilizes naturally existing microorganisms that can purify and restore the environment. The study investigated the application of Effective Microorganism-Activated Solution (EMAS), TeMo Decomposer (TeMo), and Lactic Acid Bacteria (LAB) to enhance water quality. Additionally, microbial testing will be carried out to identify bacteria present in each EM. EM-based rehabilitation of polluted and degraded water bodies significantly contributes to the restoration of aquatic habitats and ecosystems. This study aimed to assess the water quality at Tasik Alumni, Kampus Pauh, Perlis, Malaysia. Four sampling points in Tasik Alumni were chosen to reflect the water quality status of the lake. The sampling was conducted once at four points locations in Tasik Alumni. Seven water quality measures, including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), ammoniacal nitrogen (NH₃-N), total suspended solid (TSS), and turbidity, were analysed ex-situ and categorised according to Water Quality Index (WQI) and National Water Quality Standard (NWQS) classifications. The Tasik Alumni was categorised as mildly contaminated. The results clearly showed the efficiency of this technique in restoring and conserving water quality in a degraded or polluted lake. Full article

Myeloid sarcoma (MS), or extramedullary acute myeloid leukaemia tumour (eAML), is a rare hematopoietic neoplasm. Recognised as a distinct entity within acute myeloid leukaemia (AML), MS presents significant diagnostic challenges due to its rarity, clinical heterogeneity, and variable immunophenotypic and genetic characteristics. The mechanisms by which leukaemic stem cells (LSCs) migrate to form solid tumours in extramedullary (EM) sites remain unclear. MS can occur de novo, precede AML, and manifest alongside AML relapse. It can also develop with myelodysplastic syndromes (MDSs) or myeloproliferative neoplasms (MPNs). MS frequently presents in organs such as the skin, lymph nodes, gastrointestinal (GI) tract, and central nervous system (CNS), often resulting in diverse clinical manifestations. Diagnosis relies on a comprehensive approach, including tissue biopsy, bone marrow (BM) evaluation, and advanced imaging modalities. Accurate diagnosis is crucial for risk stratification and treatment selection. Prognosis is influenced by several factors: MS’s anatomical location, timing of MS diagnosis, genetic profile, and possible treatment. This review emphasises the need for comprehensive diagnostic methods to better define individual MS characteristics and prognosis. It explores the role of novel targeted therapies in improving patient outcomes and further highlights the critical need for future multicentre data collection to optimise diagnostic and therapeutic approaches. Full article

Alex Vermeulen (1927–2023) was a leading Belgian endocrinologist whose name will forever remain linked to testosterone and androgen metabolism. As a dedicated scientist and clinician, he made seminal contributions to endocrinology throughout his career. These included the development of chromatography and radioimmunoassays of steroid hormones. His work also focused on the biological significance and metabolism of corticosteroids and androgens, and he defined key concepts in the role of steroid hormones in the human menstrual cycle, pregnancy, and menopause. His love for math, endocrinology, and problem-solving led to a formula for the estimation of free testosterone in serum, which has not been improved upon to date and is still in use worldwide. He contributed to enhancing our understanding of the role that male sex hormones may play in a variety of clinical problems in endocrinology, including bone health, type 2 diabetes, and, especially, endocrine function in aging males. Alex Vermeulen literally was “a giant in endocrinology”. Beyond his scientific contributions, Vermeulen was a wise and engaging mentor, a Renaissance man, and an aficionado of the finer things in life. He owned an eclectic choice of modern artworks, all of which he bequeathed to the Ghent Museum of Fine Arts, thus significantly enhancing the museum’s art patrimony. Full article

Fuel cell hybrid vehicles offer significant potential in heavy-duty transportation due to their high efficiency, extended range, and zero emissions, making them a key enabler of sustainable transportation. To enhance the energy consumption economy and lifecycle economy of fuel cell hybrid mining trucks (FCHMTs) while reducing total operating costs and promoting environmental sustainability, this paper proposes an approximate globally optimal energy management strategy (EMS) based on a rule-interposing balance cost minimization strategy (AGO-BCMS). First, an FCHMT power system model is established, including degradation models for the fuel cell and battery. Then, the global optimality of dynamic programming (DP) is utilized to extract the fuel cell output characteristics under different battery states and vehicle power demands. Subsequently, optimal rules are designed and embedded into the cost minimization optimization model to plan the fuel cell output range under actual driving conditions. Simultaneously, dynamic threshold updates are performed based on vehicle driving condition phase recognition. Finally, energy distribution optimization is calculated using sequential quadratic programming (SQP). This strategy not only improves the economic viability of FCHMTs but also contributes to the broader goals of advancing sustainable transportation solutions. The proposed strategy was validated under both single round-trip and continuous operational conditions. Simulation results show that, under single round-trip conditions, the proposed strategy reduces the total operational cost by 3.13%, 4.09%, and 10.90% compared to balance cost-minimization strategies (BCMS), equivalent consumption minimization strategy (ECMS), and rule-based strategies, respectively. Under continuous operational conditions, the total cost is reduced by 3.61%, 6.63%, and 15.90%, respectively. Full article

Object tracking in thermal video is challenging due to noise, blur, and low contrast. We present TVEMamba, a Mamba-based enhancement framework with near-linear complexity that improves tracking in these conditions. Our approach uses a State Space 2D (SS2D) module integrated with Convolutional Neural Networks (CNNs) to filter, sharpen, and highlight important details. Key components include (i) a denoising module to reduce background noise and enhance image clarity, (ii) an optical flow attention module to handle complex motion and reduce blur, and (iii) entropy-based labeling to create a fully labeled thermal dataset for training and evaluation. TVEMamba outperforms existing methods (DCRGC, RLBHE, IE-CGAN, BBCNN) across multiple datasets (BIRDSAI, FLIR, CAMEL, Autonomous Vehicles, Solar Panels) and achieves higher scores on standard quality metrics (EME, BDIM, DMTE, MDIMTE, LGTA). Extensive tests, including ablation studies and convergence analysis, confirm its robustness. Real-world examples, such as tracking humans, animals, and moving objects for self-driving vehicles and remote sensing, demonstrate the practical value of TVEMamba. Full article

Euglena gracilis is a microalga that has great promise for the production of biofuels, functional foods, and bioactive compounds, and mutagenesis and effective screening methods are required to develop Euglena strains that have industrial use. Ethyl methanesulfonate (EMS) is a widely used mutagen, but is highly lethal to Euglena at typical concentrations. In the present study, low-concentration, long-time EMS exposure combined with serial treatment was introduced for generating Euglena mutants. We then used screening protocols to select cells with altered motility or pigmentation, and isolated two distinct strains of Euglena: Mutant 333 and Mutant 335. Mutant 333 showed increased motility but exhibited a decreased differentiation rate and reduced paramylon content (13.5%), making it unsuitable for industrial applications. However, Mutant 335, which had a deficiency of chlorophyll, had a high paramylon content (31.62%) and a mild and pleasant odor profile due to decreased concentrations of certain volatile compounds, with confirmation by GC-MS analysis. The Mutant 335 strain is suitable for the production of functional food products and renewable jet fuel. Full article

In this paper, a methodology for selecting the Energy Management Strategy (EMS) that best suits a heavy-duty Fuel Cell Electric Vehicle (FCEV) operating under specific conditions along a given driving cycle is proposed. Using a simulation model that incorporates the powertrain architecture and components of a specific FCEV—validated through a more detailed model operating at the power converter switching level—the performance of the entire system can be tested under different EMSs. The multicriteria evaluation system developed in this study enables the calculation of hydrogen and energy consumption, as well as the aging of the battery and fuel cell associated with each EMS. The proposed methodology serves as an evaluation tool for both the dimensioning of powertrain components and the selection of the EMS that best meets the operational requirements of a given FCEV. Results demonstrate that applying this methodology to a use case tailored for commercial devices and a standard driving cycle enables the identification of the most suitable EMS, minimizing hydrogen and energy consumption while reducing battery and fuel cell aging. Full article

Background: Selenium (Se), a vital trace element, plays a neuroprotective role by mitigating oxidative stress through selenoproteins and regulating metal balance. The apolipoprotein E ε4 allele (APOE4), a significant genetic risk factor for Alzheimer’s disease (AD), has been linked to reduced Se levels and weakened antioxidant capacity. This research explores the association between serum Se concentrations and cognitive performance, with an emphasis on how APOE4 status influences this relationship. Methods: This study included 196 older adults from community and memory clinic settings, who underwent assessments for episodic memory, global cognition, and non-memory functions using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropsychological battery, with serum selenium levels analyzed via inductively coupled plasma–mass spectrometry (ICP-MS) and APOE genotyping conducted to determine allele status. Results: Higher serum Se levels were associated with better episodic memory score (EMS) (B = 0.065, 95% CI = 0.020–0.110, p = 0.005) and CERAD total score (TS) (B = 0.119, 95% CI = 0.046–0.193, p = 0.002). However, the interaction between Se and APOE4 status significantly affected EMS (B = −0.074, 95% CI = −0.109 to −0.039, p < 0.001), with significant benefits observed in APOE4-negative participants. Conclusions: This study highlights the genotype-specific impact of Se on cognitive health, emphasizing the need for personalized nutritional interventions targeting Se levels, particularly for APOE4-negative individuals. Future research should further elucidate the mechanisms of Se’s effects and assess its therapeutic potential in aging populations. Full article

The following essay evaluates the concept of the trace within extended mind (EM) theory. It begins by differentiating Andy Clark’s complementarity from several competing models. Second, it demonstrates how an undeveloped concept of the trace arises in Clark’s debate with internalist critics. In response, I introduce Paul Ricoeur’s metaphor of the imprint in Memory, History, Forgetting. Fourth, the recent debate about the plastic trace will be applied in this context. In so doing, the legacy of Jacques Derrida will be rehabilitated. I conclude with EM’s renewed promise to model deliberations between religiously diverse people. Full article