Transport Activity Research Articles

Health of Family Members of Road Transport Workers: Evaluation of Perceived Stress and Family Effectiveness

The health of road transport workers is affected by working conditions and life. However, there is a lack of studies on the level of stress and health of the families of these workers. This study aimed to evaluate the perceived stress level and family effectiveness of family members of road transport workers. A quantitative study was carried out with the family members of road transport workers in the southern region of Brazil. For data collection, a sociodemographic form, the Perceived Stress Scale (PSS), and the Evaluation of Family Effectiveness Strategies were used. The data were analyzed by simple frequency, Spearman correlation coefficient (ρ) (p < 0.05), and descriptive analysis from the perspective of Systemic Organization. The sample was composed of 49 family members of road transport workers. Perceived stress was higher in family members who had more than nine years of education (p = 0.0403). Family members who scored higher in Family Effectiveness scored high on the targets of Control (p = 0.0353) (Control aims to reduce anxiety and prevent and eliminate events that threaten family stability) and Growth (p = 0.0360) (represented by attitudes that promote new roles in response to critical situations experienced by families, which require re-adaptation processes and adjustments). The Control target was significant (p = 0.0353) in families that had more than three people. The Coherence dimension (concerning self-esteem, body image, personal identity, self-confidence, and sexual identity) presented positive significance (p = 0.0244) in families with health problems and whose income was less than USD 792.00 per month (p = 0.0072). The Individuation dimension (including functions and responsibilities, where talents are reinforced, as well as initiatives that allow for the incorporation of knowledge to assume behaviors against personal/family and environmental pressures), was significant (p = 0.0138) in families with incomes over USD 792.00. The Maintenance System (strategies for decision-making, problem negotiation, ritual and traditional roles, communication patterns, standards, financial management, and approaches to maintaining family harmony) presented positive significance (p = 0.0151) in families where drivers worked as intercity drivers, as did the Stability target (p = 0.0196) (concerning the continuity of routines, structure, organization, traditions, and values assumed by the family and transmitted from generation to generation, which promote unity and the development of values, attitudes, and beliefs). In conclusion, social factors, such as education, income, diseases, type of worker activity in road transport, and number of people in the family, influenced perceived stress and family effectiveness, which demonstrates the need to increase the promotion of health care for the families of road transport workers.

Риск-ориентированный анализ безопасности эксплуатации транспортных средств на основе использования инструментов цифровизации

The issue of occupational safety during activities of transportation in conditions of intensified impact of factors of the external environment is considered. The constituent elements of the occupational safety mechanism for the implementation of transportation processes have been analyzed. Based on the studies of injury rate in railway transport, the key causes of occupational safety decrease in contemporary geopolitical conditions have been detected, and the options for the improvement of occupational safety considering the implementation of digital technologies enabling the accumulation, registration, structuring, and analysis of large amounts of data have been considered. It is crucial for the use of blockchain technology to register the information about the movement of a vehicle without the possibility of its correction and monitor the condition of the transport infrastructure. A hybrid approach has been proposed for the development of the occupational safety mechanism based on the implementation of the «force field analysis» approach implying the identification and assessment of the impact of factors of the external environment that can directly or indirectly affect occupational safety in the transportation sphere. Using this approach enables the consideration of the riskiness of the transportation process based on the analysis of factors facilitating the improvement of life safety and factors hampering the implementation of innovations in the sphere of movement of vehicles. Based on the studies, a model of risk-oriented analysis of the safety of vehicle operation that characterizes the level of occupational safety when assessing emerging risks during vehicle operation, oriented to the systematization of analysis of statistical data, has been presented. The options to improve the occupational safety mechanism based on the monitoring of potentially hazardous transportation risks generated by changing factors of the external environment and the assessment of consequences of risks have been proposed to develop measures of risk prevention.

Inundation Processes with Active Sediment Transportation in the Floodplain of West Rapti River, Nepal

The present study discusses flood hazard characteristics in the lower reaches of the West Rapti River based on the results obtained from field surveys and numerical computations using depth averaged 2-D numerical models for flood flow and associated sediment transportation. To evaluate the inundation process with sediment erosion and deposition in the floodplain, a new erosion term was introduced into the mass conservation equations for suspended sediment and bed sediment. The results obtained from numerical computations indicated that field data on the spatial distributions of depths for inundation, and sediment erosion and deposition can be evaluated by the numerical model. Thus, numerical predictions were performed for the inundated areas, and the accumulated volumes of sediment erosion/deposition for floods with return periods of 50, 100, and 200 years, as a step towards damage assessment and risk assessment due to floods with active sediment transportation in the floodplains.

Transcriptome signature of juvenile Litopenaeus vannamei cultured under different salinity levels in response to Vibrio harveyi infection

Although the widely cultured Litopenaeus vannamei is highly tolerant to varying salinity levels, the rapid fluctuation of abiotic and biotic factors due to climatic changes may become stressors to the shrimp's physiology, resulting in impaired immunity and increased disease susceptibility. This study aimed to investigate the combined effects of both factors towards L. vannamei at transcriptomic level. L. vannamei were cultured at three different salinity levels (5 ppt, 20 ppt and 30 ppt) for 60 days and were challenged with Vibrio harveyi. RNA-seq analysis was conducted on the hepatopancreas to assess the differential expressed genes (DEGs) in both control and V. harveyi infected groups. Our results revealed 5,725 DEGs was observed in shrimp reared at 5 ppt, 3,643 DEGs at 20 ppt and 1,560 DEGs at 30 ppt. Most DEGs were identified to be associated with osmoregulation and transport activities, immune and stress regulation, nutrient metabolism, growth, chitin binding, gonadal development, and metal ion binding and toxicity. We identified that shrimp cultured at intermediate salinity of 20 ppt exhibits the greatest immunity level after infection by V. harveyi, given that low salinity (5 ppt) may augment the free ion metal toxicity, resulting in higher disease susceptibility. Both V. harveyi and salinity stress function together or separately to activate a wide range of immune and stress regulatory genes, which could be potential candidate markers for future RNAi and knockdown research in developing efficient prophylactic management strategies for L. vannamei.

Differentiating local and regional drivers of exceedances of WHO PM2.5 standards with a low-cost sensor network in the greater male’ region (GMR)

Although pollution is visible at certain times in the capital Greater Male’ Region (GMR), Maldives, only limited quantitative measures of the pollution concentrations are available. Hence, this study aims to understand the spatiotemporal patterns of Particulate Matter 2.5 (PM2.5) and its contribution by both local and regional sources. Data was collected using harmonized and calibrated low-cost PM sensors from October 2021 to September 2023 across 8 locations in GMR. Results showed that the annual average PM2.5 concentration in both years surpassed the WHO guideline. Higher levels of PM2.5 were measured in the dry season and the 24-h WHO-recommended level was surpassed in 67% of the days in the dry season. This is the effect of pollutants transported from the subcontinental regions. PM2.5 concentrations in at least 93% of the days in the wet season (Apr–Oct) remained within the daily limit. Similar levels and patterns of PM2.5 concentrations were noticed across all locations, despite higher concentrations and more frequent exceedances were observed in certain locations in GMR. Besides vehicular emission, electricity generation, biomass burning, sea transport and construction activities are the likely local sources of PM2.5. The diurnal trend revealed significant peaks on weekend evenings in some hotspots due to increased outdoor activities. Hence to reduce regional drivers of pollutants, corporations from countries in the region must take action and municipalities need to implement plans to moderate local emissions.

COVID-19 Pandemic and Transformation of Activity Space: Implications for Urban Area Planning in the Yogyakarta Metropolitan Area

Abstract Travel patterns and spatial behavior of people in the Yogyakarta Metropolitan Area during the COVID-19 pandemic have experienced adjustments due to restrictions on out-of-home activities. Spatial behavior has information on the coordinates of the location of the activity visited, and the area that represents this behavior is called activity space. Exploration of activity space may play an essential part in urban area planning. This study utilizes travel activity diary data before and during the pandemic for change analysis with a quantitative approach. Data before the pandemic used the Probability Proportional to Size method and random selection of respondents. While re-measurement during the pandemic, respondents were collected using convenience sampling on 109 individuals willing to re-engage in the survey while still considering population size. The generalization of findings applies to workers and part of middle-income families. A literature review strengthens the empirical findings and explores their implications. The findings indicate that the coverage area for activities has shrunk due to the pandemic, with most activity places falling within a short distance of one’s residence and from one another. The consistency of these findings in the future has implications for providing more flexible, multifunctional, and decentralized spaces equipped with safe and comfortable paths for active transportation modes and integrated with reliable communication technology services.

Distinct roles for the domains of the mitochondrial aspartate/glutamate carrier citrin in organellar localization and substrate transport

ObjectiveCitrin, the mitochondrial aspartate/glutamate carrier isoform 2, is structurally and mechanistically the most complex SLC25 family member, because it consists of three-domains and forms a homodimer. Each protomer has an N-terminal calcium-binding domain with EF-hands, followed by a substrate-transporting carrier domain and a C-terminal domain with an amphipathic helix. The absence or dysfunction of citrin leads to citrin deficiency, a highly prevalent pan-ethnic mitochondrial disease. Here, we aim to understand the role of different citrin domains and how they contribute to pathogenic mechanisms in citrin deficiency. MethodsWe have employed structural modelling and functional reconstitution of purified proteins in proteoliposomes to assess the transport activity and calcium regulation of wild-type citrin and pathogenic variants associated with citrin deficiency. We have also developed a double knock-out of citrin and aralar (AGC1), the two paralogs of the mitochondrial aspartate/glutamate carrier, in HAP1 cells to perform mitochondrial imaging and to investigate mitochondrial localisation. ResultsUsing 33 pathogenic variants of citrin we clarify determinants of sub-cellular localization and transport mechanism. We identify crucial elements of the carrier domain that are required for transport, including those involved in substrate binding, network formation and dynamics. We show that the N-terminal domain is not involved in calcium regulation of transport, as previously thought, but when mutated causes a mitochondrial import defect. ConclusionsOur work introduces a new role for the N-terminal domain of citrin and demonstrates that dysfunction of the different domains contributes to distinct pathogenic mechanisms in citrin deficiency.

Molecular Phenotypes Segregate Missense Mutations in SLC13A5 Epilepsy

The sodium-coupled citrate transporter (NaCT, SLC13A5) mediates citrate uptake across the plasma membrane via an inward Na+ gradient. Mutations in SLC13A5 cause early infantile epileptic encephalopathy type-25 (EIEE25, SLC13A5 Epilepsy) due to impaired citrate uptake in neurons and astrocytes. Despite clinical identification of disease-causing mutations, underlying mechanisms and cures remain elusive. Here we mechanistically classify six frequent SLC13A5 mutations by phenotyping their protein cell surface expression and citrate transport functions. Mutants C50R, T142M, and T227M exhibit impaired citrate transport despite normal expression at the cell surface. In contrast, mutations G219R, S427L, and L488P show low total protein expression levels, absence of mature, glycosylated proteins at the cell surface, retention of the proteins in the endoplasmic reticulum, and diminished transport activity. This mechanistic classification divides SLC13A5 mutants into two groups, Class I (C50R, T142M, and T227M) and Class II (G219R, S427L, and L488P). Importantly, mutants’ mRNA levels resemble wildtype, suggesting post-translational defects. Class II mutations display immature core-glycosylation and shortened half-lives, indicating protein folding defects. Together, these experiments provide a comprehensive understanding of the disease-causing mutation’s defects in SLC13A5 Epilepsy at the biochemical and molecular level and shed light into the trafficking pathway(s) of NaCT. The two classes of mutations will require fundamentally different approaches for treatment to either restore transport function of the mutant protein that is capable of reaching the cell surface (Class I), or therapies that enable the correction of protein folding defects to enable escape to the cell surface where it may restore transport function (Class II).

A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection

Transportation activities associated with construction waste generate substantial carbon emissions, an issue that is attracting increasing environmental concern. To raise construction waste transportation efficiency and reduce carbon emission, we address the dynamic time-dependent green vehicle routing problem for decoration waste collection (DTDGVRP-DWC). In the existing literature, many deterministic approaches to the dynamic vehicle routing problem are myopic, as they only react to already arrived requests. In this paper, we propose a stochastic sampling method to tackle with uncertain customer request in the real world. The DTDGVRP-DWC is formulated as an 0-1 programming. In the new model, we consider urban traffic congestion and variable speeds over time, and factors that significantly influence both carbon emissions and fuel costs. To quickly solve the complicated optimization problem, we develop a two-phase algorithm. In the first phase, we embed a competitive simulated annealing algorithm to determine visitation schedules for anticipated and early-request customers. In the second phase, we propose an event-trigger mechanism to decompose the dynamic problem into a series of static sub-problems, and an effective heuristic to solve each sub-problem. Computational results show that as long as the prediction accuracy exceeds a threshold, the forecast routing method consistently performs better than reactive routing. A real-world case demonstrates that an early commitment waiting time strategy benefits timely service requirements, whereas a late or hybrid waiting time strategy takes overall efficiency and customer satisfaction into account.

Identifying key safety investments needed for arctic shipping via a fuzzy analytic hierarchy process (FAHP) approach

ABSTRACT The retreating ice coverage and reduced (ice) thickness scientifically recorded in the wider Arctic region, during the last few decades, are transforming it into a more accessible operating environment. Vessels engaged in maritime transport activities can now navigate the already established routes for more extended periods each year. With this background, Arctic shipping routes have attracted the interest of academics and maritime stakeholders because of the potential distance reduction compared to other existing (and often viewed as) conventional routes utilizing the Suez and Panama Canals today. However, the existing Arctic shipping environment requires specific future safety investments. This paper intends to provide input towards better-informed decision-making and identification of priority investments needed to improve the level of safety related to the Northern Sea Route (NSR) and Northwest Passage (NWP). A multi-attribute decision-making methodology, the Fuzzy Analytic Hierarchy Process, is applied to rank the various proposed safety investments. The results indicate that “infrastructure and facility” should come first, followed by “personnel,” “technology,” “measure,” and “management” investments. Ice monitoring and weather forecasting, strengthening Arctic seafaring expertise, and icebreakers stand out as the top three most important future investments required in the region.

Yasri Miftah Joenoes

Background: Mining accidents in truck transportation activities are the most common accidents in the mining industry in Southeast Sulawesi Province in the last 3 years and often cause fatalities. Previous studies have not identified all types of dominant causes of mining accidents in truck transportation activities, be it direct causes, basic causes, or lack of management control. The purpose of this study is to analyze the causes of mining accidents in truck transportation activities in the Southeast Sulawesi Region in 2021-2023. Method: The research used is qualitative phenomenology to understand and describe the dominant accident-causing factors from mining accident phenomena in transportation activities using trucks. Results: The dominant causes of mining accidents in truck transportation activities in Southeast Sulawesi Province in 2021-2023 were: driving above the speed limit; drivers not wearing safety belts and helmets; downhill road conditions with a grade above 12% and long; drivers lack knowledge/skills; lack of supervision; and inadequate SOP and HIRA. Conclusion: Corrective actions that can be taken to minimize the occurrence of mining accidents in truck transportation activities are: increasing supervision and socialization related to speed limits, as well as the use of safety belts and helmets; striving for engineering, maximizing supervision and completing road signs on downhill road segments with grades above 12% and long; implementing new worker training and annual refresher courses with output in the form of SIMPER which is valid for a maximum of 1 year; meeting the needs/ratio of operational supervisors, and ensuring that SOP and IBPR are adequate for truck transportation activities.

Older adults’ decisions regarding mobility to age in place in medium- and high-rise multi-storey residential buildings in urban settings: A case study of South East Queensland, Australia

Population ageing and urbanisation requires a more thorough understanding and monitoring of older adult residential mobility trends. Many older adults move to urban areas and previous studies have been carried out on ageing in place in traditional low-rise residential buildings. However, there is little in the literature about the important push and pull factors influencing older adult moves to medium- and high-rise multi-storey residential buildings in urban areas as they age. This case study research considered the housing migration model of push and pull factors used in elderly residential mobility and investigated the older adults' decision-making regarding mobility to age in place in medium- and high-rise multi-storey residential buildings in South East Queensland, Australia. The study revealed how the older adults expressed a desire to age in place in multi-storey residential buildings in urban areas and identified it as an important element of quality of life. Many older adults chose to move house to high density urban areas from low density urban areas between the ages of 65 and 84. The ‘pull’ factor to significantly influence the decisions of movers was a low maintenance property and lifestyle change from a large suburban home whereas the ‘push’ factor was upkeep difficulties of the house related to old age. This study makes empirical contributions to knowledge in ageing residential mobility trends in urban areas and concludes by providing policy recommendations for developing more effective housing, public spaces, transportation, and community activities and services for older adults, including highlighting a number of recommendations for future research.

Boosting the electrocatalytic performance of CuCo2S4 via surface-state engineering for ampere current water electrolysis applications

For the efficient production of green H2 on an industrial scale, developing durable, cost-effective electrocatalysts using earth-abundant transition-metals is crucial. Herein, we report a robust, bifunctional sulfurized CuCo2O4 (CCS/Ov) catalyst with engineered oxygen-vacancies, in which the metal catalyst is tunes to high valence state, significantly altering the intrinsic reaction kinetics and generating better catalytic activity for efficient ion transport in various electrolytes (neutral, seawater, alkaline simulated-seawater (ASW), and KOH). The optimized dual-strategy synthesized CCS/Ov catalysts with hierarchical morphology exhibits modest overpotential of 383 and 355 mV at 1000 mA cm−2 for OER and HER, respectively, in 1 M KOH. Impressively, an electrolyzer cell (CCS/Ov||CCS/Ov) demonstrates low cell-voltage of 1.487 V (6 M KOH), with excellent robustness in an ASW (1 and 2 M) environment against corrosive chlorine. The bifunctional CCS/Ov||CCS/Ov catalyst outperforms a state-of-the-art paired Pt/C||RuO2 catalyst and maintains the lowest potential response at up to 2000 mA cm−2, while demonstrating remarkably stable simultaneous O2 and H2 generation over 10 days at various current rates. Additionally, DFT calculations confirmed that CCS/Ov catalysts demonstrate significantly enhanced HER and OER activities due to reduced H2O dissociation energy and strong intermediate binding energy, which is attributed to the anionic vacancy near Co3+. The excellent bifunctional performance of the hierarchical CCS/Ov highlights its potential as non-precious catalyst with facile fabrication approach.

Integrating Transcriptome and Metabolome Analyses Revealed Salinity Induces Arsenobetaine Biosynthesis in Marine Medaka (Oryzias melastigma).

Marine fish exhibit elevated levels of arsenobetaine (AsB), while the impact and underlying mechanism of salinity on AsB biosynthesis remain inadequately explored. In this study, marine medaka (Oryzias melastigma), typically inhabiting 30‰ high salinity, were gradually acclimated to low salinities of 20, 10, and 0‰. Following acclimation, the fish were exposed to arsenate (As(V)) in their diet for 30 days. Results showed a significant accumulation of total arsenic (As) and AsB concentrations in the muscle and head tissues of the exposed fish, with these accumulations exhibiting a positive correlation with water salinity. Transcriptome analyses revealed that exposure to As(V) at low salinity may disrupt membrane components and induce cytoskeletal injuries, while at high salinity, it triggered oxidoreductase activity and transmembrane transport. Metabolome analyses indicated that low salinity induced osmotic stress, resulting in an increased requirement for amino acids to upload intracellular osmotic equilibrium in O. melastigma. Furthermore, the key organic osmolytes and amino acids, including taurine, l-methionine, guanidinoethyl sulfonate, and N-acetyl-l-aspartic acid, exhibited a negative correlation with the AsB concentration. These findings indicated that salinity can regulate osmotic balance by influencing amino acid synthesis under low salinity and stimulating AsB synthesis under high salinity conditions in O. melastigma. This study provides insights into the impact of high salinity on AsB biosynthesis, the underlying regulatory mechanisms, and implications for managing As(V) risk.

Tidal control on aerobic methane oxidation and mitigation of methane emissions from coastal mangrove sediments

Mangrove forests represent important sources of methane, partly thwarting their ecosystem function as an efficient atmospheric carbon dioxide sink. Many studies have focused on the spatial and temporal variability of methane emissions from mangrove ecosystems, yet little is known about the microbial and physical controls on the release of biogenic methane from tidally influenced mangrove sediments. Here, we show that aerobic methane oxidation is a key microbial process that effectively reduces methane emissions from mangrove sediments. We further demonstrate clear links between the tidal cycle and fluctuations in methane fluxes, with contrasting methane emission rates under different tidal amplitudes. Our data suggest that both the microbial methane oxidation activity and pressure-induced advective transport modulated methane fluxes in the mangrove sediments. Methane oxidation activity is limited by the availability of oxygen in the surface sediments, which in turn is controlled by tidal dynamics, further highlighting the interactive physico-biogeochemical controls on biological methane fluxes. Although we found some molecular evidence for anaerobic methanotrophs in the deeper sediments, anaerobic methane oxidation seems to play only a minor role in the mangrove sediments, with potential rates being two orders of magnitude lower than those of aerobic methane oxidation. Our findings confirmed the importance of surface sediments as biological barrier for methane. Specifically, when sediments were exposed to the air, methane consumption increased by ∼227%, and the methane flux was reduced by ∼62%, compared to inundated conditions. Our data demonstrate how tides can orchestrate the daily rhythm of methane consumption and production within mangrove sediments, thus explaining the temporal variability of methane emissions in the tidally influenced coastal mangrove systems.

Differential Selectivity of Human and Mouse ABCC4/Abcc4 for Arsenic Metabolites.

Millions of people globally are exposed to the proven human carcinogen arsenic at unacceptable levels in drinking water. In contrast, arsenic is a poor rodent carcinogen, requiring >100-fold higher doses for tumour induction, which may be explained by toxicokinetic differences between humans and mice. The human ATP-binding cassette (ABC) transporter hABCC4 mediates the cellular efflux of a diverse array of metabolites, including the GSH conjugate of the highly toxic monomethylarsonous acid (MMAIII), MMA(GS)2, and the major human urinary arsenic metabolite dimethylarsinic acid (DMAV). Our objective was to determine if mouse Abcc4 (mAbcc4) protected against and/or transported the same arsenic species as hABCC4. The anti-ABCC4 antibody M4I-10 epitope was first mapped to an octapeptide (411HVQDFTA418F) present in both hABCC4 and mAbcc4, enabling quantification of relative amounts of hABCC4/mAbcc4. mAbcc4 expressed in HEK293 cells did not protect against any of the six arsenic species tested [arsenite, arsenate, MMAIII, monomethylarsonic acid, dimethylarsinous acid or DMAV], despite displaying remarkable resistance against the antimetabolite 6-mercaptopurine (>9-fold higher than hABCC4). Furthermore, mAbcc4-enriched membrane vesicles prepared from transfected HEK293 cells did not transport MMA(GS)2 or DMAV, despite a >3-fold higher transport activity than hABCC4-enriched vesicles for the prototypic substrate 17β-estradiol-17-(β-D-glucuronide). Abcc4(+/+) mouse embryonic fibroblasts (MEFs) were ~3-fold more resistant to arsenate than Abcc4(-/-) MEFs; however, further characterization indicated this was not mAbcc4 mediated. Thus, under the conditions tested, arsenicals are not transported by mAbcc4, and differences between the substrate selectivity of hABCC4 and mAbcc4 seem likely to contribute to differences in human and mouse arsenic toxicokinetics. Significance Statement Toxicokinetics of the carcinogen arsenic differ among animal species. Arsenic methylation is known to contribute to this, whereas arsenic transporters have not been considered. The human ATP-binding cassette transporter hABCC4 is a high affinity transporter of toxicologically important arsenic metabolites. Here we used multiple cell models to demonstrate that mouse Abcc4 does not protect cells against, or transport, any arsenic species tested. Thus, differences between hABCC4 and mAbcc4 substrate selectivity likely contribute to differences in human and mouse arsenic toxicokinetics.

Offshore Wind Power Growth and Industrial Development in Emerging Markets

Offshore wind has developed significantly over the past decade, and promising new markets are emerging, such as Brazil, South Africa, India, Poland, and Turkey. As logistic transport activities increase complexities, developing regional supply chains can help to reduce costs and enhance the sector’s competitiveness. This article proposes a framework for the industrial development of the offshore wind supply chain in new markets. This study is grounded in a systematic literature review and is validated through a multi-case study, identifying key variables and factors influencing industrial growth. Adopting a process-based approach, factors and variables were modeled into a framework, encompassing the following four phases: (1) demand assessment of a new sector, (2) sectorial and industrial planning, (3) industrial development and maturity, and (4) sectorial and industrial renewal or decline. Each phase brings together a group of policies. Our findings show the policies’ interrelations. These results complement the few studies that have examined the industrial development process, providing a clear guide as to the process for the development of the offshore wind industry in specific regions. Thus, the framework provides elements that contribute as a valuable tool to the debate, structuring, and development of public policies for the industrial development of a new sector.

Geohash coding-powered deep learning network for vessel trajectory prediction using clustered AIS data in maritime Internet of Things industries

The increasing traffic flow and frequent navigational activities in maritime transportation raise accidents, such as collision and grounding. To mitigate such safety issues, high precision and stable vessel trajectory prediction play an essential role in developing accident prevention techniques in maritime Internet of Things (IoT) industries. However, vessel trajectory prediction is a challenge because conventional deep learning technologies struggle to capture complex changes in vessel trajectories. To address this challenge, this study designs a novel prediction method (namely DBSCAN-GeoCLSTM) comprising two steps. The first step employs the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to perform clustering analysis on trajectories. The second step feds trajectory data from different categories into a Long Short-Term Memory (LSTM) optimization network with Geohash Coding (called GeoCLSTM netework) for training. This GeoCLSTM network encodes the trajectory points using Geohash Coding to construct one-hot vectors, which captures the positional correlation information among trajectory points. The GeoCLSTM model further introduces a dimensionality reduction module by converting the one-hot vectors into feature vectors. Subsequently, the GeoCLSTM model employs LSTM to use these feature vectors from multiple consecutive time slots to accurately predict trajectory data. Results of comparative experiments demonstrate that the proposed DBSCAN-GeoCLSTM method achieved accurate and stable predictions, and outperformed eight state-of-the-art methods in the vessel trajectory prediction task.

Dysfunctional High-Density Lipoprotein Cholesterol and Coronary Artery Disease: A Narrative Review.

High-density lipoprotein (HDL) cholesterol is traditionally viewed as protective against cardiovascular disease (CVD). However, emerging evidence reveals that dysfunctional HDL, characterized by impaired reverse cholesterol transport (RCT), reduced anti-inflammatory and antioxidant activities and increased endothelial dysfunction, which can contribute to coronary artery disease (CAD). Dysfunctional HDL, resulting from oxidative modifications of Apolipoprotein A-1 (Apo A-1) and enzyme inactivation, fails to effectively remove cholesterol from peripheral tissues and may promote inflammation and atherosclerosis. Genetic mutations affecting HDL metabolism further complicate its role in cardiovascular health. Studies have shown that conventional therapies aimed at raising HDL-C levels do not necessarily reduce cardiovascular events, highlighting the need for new approaches that improve HDL functionality. Therapeutic strategies such as Apo A-1 mimetic peptides, reconstituted HDL infusions, and drugs targeting specific HDL metabolic pathways are being explored. Additionally, weight loss, statin therapy, and niacin have shown potential in enhancing HDL function. The pathophysiology of dysfunctional HDL involves complex mechanisms, including oxidative stress, inflammation, and genetic mutations, which alter its structure and function, diminishing its cardioprotective effects. New functional assays, such as the cholesterol efflux capacity (CEC) and HDL inflammatory index, provide more accurate predictions of cardiovascular risk by assessing HDL quality rather than quantity. As research progresses, the focus is shifting towards therapeutic strategies that enhance HDL function and address the root causes of its dysfunction, offering a more effective approach to reducing cardiovascular risk and preventing CAD.

Association of physical activity and sitting time with tobacco and alcohol use in 222,495 adolescents from 66 countries

BackgroundThe prevalence of tobacco and alcohol use among adolescents is alarming, and these substances are among the leading risk factors for current and future health among adolescents. Physical activity has the potential to help prevent substance use among adolescents. The objective of this study was to evaluate the association between physical activity, modes of transportation to or from school, and sitting time with tobacco and alcohol use among 222,495 adolescents.MethodsThis cross-sectional study used data from national surveys conducted in 66 countries, obtained through the Global School-based Student Health Survey, and included adolescents aged 11 to 17 years. Information on physical activity, transportation to or from school, sitting time, and tobacco and alcohol use was collected through self-report questionnaires. Generalized linear models were employed to estimate the associations between these variables.ResultsThe analysis, adjusted for sex, age, and region, revealed that being physically active was associated with lower odds of smoking (OR: 0.86, 95%CI: 0.83–0.89), alcohol use (OR: 0.74, 95%CI: 0.72–0.76), binge drinking (OR: 0.66, 95%CI: 0.62–0.69), and drunkenness (OR: 0.85, 95%CI: 0.83–0.88) compared to inactivity. Insufficiently active participants also had lower odds of tobacco use (OR: 0.83, 95%CI: 0.80–0.85), alcohol use (OR: 0.77, 95%CI: 0.75–0.79), binge drinking (OR: 0.91, 95%CI: 0.87–0.96), and drunkenness (OR: 0.88, 95%CI: 0.85–0.90) compared to inactive participants. Additionally, active transportation to or from school was associated with lower odds of tobacco use (OR: 0.97, 95%CI: 0.95–0.99), alcohol use (OR: 0.94, 95%CI: 0.92–0.96), and binge drinking (OR: 0.78, 95%CI: 0.75–0.81) compared to those using passive transportation. Participants with acceptable sitting time, however, were more likely to use tobacco (OR: 1.48, 95%CI: 1.45–1.52), use alcohol (OR: 1.68, 95%CI: 1.64–1.72), binge drink (OR: 1.68, 95%CI: 1.62–1.75), and experience drunkenness (OR: 1.66, 95%CI: 1.62–1.69) compared to those with excessive sitting time.ConclusionBeing physically active, even at insufficient levels, may have beneficial effects on tobacco and alcohol use in adolescents. Acceptable sedentary time, on the other hand, was positively associated with tobacco and alcohol use.