Search Results (27,002)

This article provides a selective review of offline change-point detection methods, with a particular emphasis on weak change-points. The study of such weak changes plays a central role in establishing the asymptotic properties of test statistics designed for detecting fixed (non-vanishing) changes. In addition, it is crucial for analyzing the asymptotic behavior of change-point location estimators. We review the current state of the literature, identify key limitations, and outline promising directions for future research in this challenging setting. Full article

Hepatocellular carcinoma (HCC) remains a major contributor to global cancer mortality, with many patients presenting beyond the bounds of upfront curative therapy (resection/transplant). Locoregional therapies, particularly transarterial chemoembolization (TACE), transarterial embolization (TAE), and transarterial radioembolization (TARE), therefore play an essential role in bridging and downstaging strategies designed to enable curative intent in otherwise ineligible patients. Bridging therapy aims to maintain transplant eligibility and reduce waitlist dropout, whereas downstaging seeks to reduce tumor burden to meet accepted criteria for resection or transplantation. This review synthesizes current evidence on TACE, TAE, and TARE for bridging to resection and transplantation, as well as for downstaging to surgical eligibility, drawing from systematic reviews and cohort studies in the recent literature. We examine modality-specific outcomes, contextualized by tumor biology, liver function, and treatment selection criteria. Comparative effectiveness and the need for standardized outcome measures will be highlighted, reflecting heterogeneity in study endpoints and patient populations. Finally, future directions in personalized locoregional therapy, integration with systemic therapies, and refined conversion strategies will be discussed, with emphasis on the need for consensus in defining treatment success. By integrating evolving clinical evidence with practical application, this review will help clarify the expanding role of locoregional therapies in enabling curative-intent strategies for HCC. Full article

Increasing rates of cannabis use among young adult college students is concerning, as research suggests that there may be a negative relationship between cannabis use and academic performance. The present study was conducted to investigate the relationships between cannabis use, harm reduction strategies, and college students’ grade point average (GPA). Participants (N = 125) completed an online survey that included a measure of Cannabis Use Frequency, Protective Behavioral Strategies (PBS) for Cannabis, and the New General Self-Efficacy scale. Hierarchical regressions were used to examine whether Cannabis Use Frequency or PBS for Cannabis were associated with GPA after controlling for covariates. Mediation analysis was conducted to determine whether Cannabis Use Frequency explained the relationship between PBS for Cannabis and GPA. Additionally, general self-efficacy was investigated as a potential moderator of the relationship between PBS for Cannabis and GPA. The results did not show a significant relationship between Cannabis Use Frequency or PBS for Cannabis and GPA after controlling for covariates. General self-efficacy did not significantly moderate the relationship between PBS for Cannabis and GPA. While PBS for Cannabis was indirectly related to Cumulative GPA via Cannabis Use Frequency, and its direct effect was associated with Cumulative GPA, the total effect was not significant, suggesting a suppressor effect. To our knowledge, this was the first study to investigate the relationship between PBS for Cannabis and academic performance with official GPA records. Future longitudinal studies are needed to identify strategies that may help students who engage in cannabis use succeed academically. Full article

Automatic Identification System (AIS) data provide valuable insights into ship behavior, supporting maritime safety, situational awareness, and operational efficiency capabilities that are increasingly required for autonomous ship functions and harbor maneuvering assistance. This review synthesizes recent research on AIS-based ship behavior analysis and modeling published between 2022 and 2024 using a structured literature search and screening process informed by PRISMA principles. The review presents a five-stage workflow, spanning data processing, data analysis, knowledge extraction, modeling, and runtime applications with emphasis on how these stages contribute to perception, prediction, and decision support in automated navigation. Four dimensions are considered in data analysis, including statistical analysis, safety indicators, situational awareness, and anomaly detection. The modeling approaches are categorized into classification, regression, and optimization, highlighting current limitations such as data quality, algorithmic transparency, and real-time performance, while also assessing runtime feasibility for onboard or edge deployment. Three runtime application directions are identified: autonomous vessel functions, remote monitoring and control operations, and onboard decision-support tools, with numerous studies focusing on constrained waterways and port-approach scenarios. Future directions suggest integrating multi-source data and advancing machine learning models to improve robustness in complex traffic and harbor environments. By linking theoretical insights with practical onboard needs, this study provides guidance for developing intelligent, adaptive, and safety-enhancing maritime systems. Full article

This paper provides a comprehensive analysis of the Optimal Reactive Power Dispatch (ORPD) problem, focusing on its mathematical formulations and the methodologies employed to solve it. This paper systematically categorizes the problem into single-objective and multi-objective formulations, as well as single-period and multi-period models, and addresses both single-area and multi-area operational frameworks. It explores a broad range of optimization techniques used to tackle the ORPD problem, including classical optimization methods, metaheuristic algorithms, and hybrid approaches. Additionally, this paper discusses the incorporation of uncertainty in ORPD models, highlighting methods to account for the stochastic nature of power systems. A critical assessment of the current literature identifies existing knowledge gaps and outlines promising future research directions. This paper aims to provide researchers with a thorough understanding of the ORPD problem, offering insights into emerging trends and areas for further exploration. Full article

The growing demand for clean and efficient fuels, along with the need to reduce environmental impacts and operational risks, has driven the development of sustainability strategies in refining processes such as gas oil hydrocracking. This paper evaluates the sustainability of an industrial gas oil hydrocracking process with mass and energy integration, using the Safety and Sustainability Weighted Return on Investment (SWROIM) metric. This metric integrates economic, energy, environmental, technical, and safety criteria into a single quantitative indicator. The process was modeled and simulated considering heat exchange networks and direct water recycle to improve the overall system efficiency. The main objective was to calculate the SWROIM of the integrated process and analyze the relative influence of each sustainability indicator through a sensitivity study based on varying weighting factors. The results show that the process achieves an SWROIM value of 127.39%, significantly higher than the return on investment (ROI), demonstrating favorable sustainable performance. This behavior is attributed to high exergy efficiency, a reduction in potential environmental impact, improvements in water management, and a decrease in the inherent risk of the process. Sensitivity analysis confirmed that the energy indicator has the greatest influence on SWROIM, while the technical criterion has a relatively minor impact. Overall, the results demonstrate that mass and energy integration, evaluated using advanced metrics such as SWROIM, is a robust tool to support decision-making in the sustainable design and optimization of hydrocracking processes, opening opportunities for future applications in other complex systems within the refining industry. Full article

Mild traumatic brain injury (mTBI) contributes substantially to years lived with disability (YLD), decreases health-related quality of life, and imposes significant costs on healthcare systems and society. Millions of people experience mTBI each year, and healthcare costs for mTBI in just the first year after injury exceed $44 billion USD. Despite the common occurrence of mTBI, estimates of incidence, prevalence, related disability, and costs vary widely. This variance is attributed to the underreporting of head impacts, inconsistent definitions of mTBI, and a lack of objective biomarkers. Currently available clinical blood biomarkers primarily assist in ruling out CT-detectable intracranial injury rather than definitively diagnosing mTBI itself, underscoring the continued need for objective, portable, and clinically specific biomarkers. Numerous imaging findings, blood proteins, and physiological measures are under investigation for these purposes, and some may have multiple uses. Specific biomarkers for acute diagnosis are needed urgently. Although many systematic reviews have been published, most focus on a single biomarker or class of biomarkers. Given the breadth of potential biomarker categories, conducting a comprehensive, systematic review across modalities is challenging. Here, we provide a narrative review summarizing the extant literature across major biomarker domains studied in adolescents and adults. We emphasize candidates supported by the most robust evidence to guide continued research and clinical translation. Full article

Background/Objectives:Human papillomaviruses (HPVs) are the most common sexually transmitted viruses worldwide and are strongly associated with multiple cancers, including cervical cancer. In France, HPV prevention relies on a combination of organized cervical cancer screening and prophylactic vaccination; however, coverage remains below international targets. Methods: This narrative review summarizes recent advances in HPV prevention in France, with a focus on screening strategies, including the integration of high-risk HPV testing and vaginal self-sampling, as well as vaccination policies that now include both girls and boys, notably through school-based programs. Results: International comparisons, particularly with Australia and several European countries, are used to highlight successful strategies and transferable lessons that could enhance the effectiveness of French prevention efforts. The review also discusses persistent barriers to uptake, including social, organizational, and cultural factors, and considers opportunities to reduce inequalities in access to prevention. Conclusions: Overall, this work provides a comprehensive overview of the current landscape of HPV prevention in France and situates national efforts within a global public health context, offering insights for policy development and future research directions. Full article

Dihydroartemisinin (DHA), the active metabolite of artemisinin derivatives, is a clinically established antimalarial agent that has recently gained significant attention for its anticancer properties. This review systematically examines the molecular mechanisms underlying DHA’s antitumor effects and explores innovative strategies to enhance its bioavailability and therapeutic efficacy. DHA demonstrates substantial potential in combination therapies with conventional clinical agents, with its broad anticancer applications being strongly supported by both preclinical and clinical evidence. Furthermore, this article outlines future research directions, discusses challenges in clinical translation, and summarizes current scientific approaches addressing these limitations. Collectively, this review highlights DHA’s promising role in cancer treatment and provides a foundation for developing improved therapeutic strategies. Full article

Children with Autism Spectrum Disorder (ASD) frequently exhibit marked impairments in nonverbal communication, particularly in eye contact, which serves as a foundational element for social interaction and relational development. This study evaluated the effectiveness of an early intervention program utilizing interactive games supported by Augmented Reality (AR) technology to enhance eye contact behaviors, specifically initiation and maintenance, in children with autism. Using a multiple baseline across participants single-case experimental design, four boys (aged 5–7 years) diagnosed with ASD participated in an 8-week intervention at a specialized center in Saudi Arabia. The intervention featured tablet-based, gamified AR tasks incorporating real-time visual feedback, graduated difficulty levels, and reinforcement mechanisms designed to elicit social gaze and sustained eye contact. Eye contact duration and frequency were measured during structured social interactions via systematic direct observation. The results demonstrated significant improvements across all participants, with the mean duration of eye contact increasing from a baseline of 2.0 s to 5.8 s post-intervention. Visual analysis revealed robust treatment effects, further supported by substantial Tau-U effect sizes (range = 0.89–0.96; M = 0.93). Follow-up data collected three weeks post-intervention confirmed the maintenance of gains for three of the four participants. These findings suggest that AR-based interventions provide an effective and culturally responsive approach for enhancing specific nonverbal communication behaviors among children with autism in Middle Eastern contexts. Implications for clinical practice and directions for future research are discussed. Full article

Mycotoxin contamination remains a persistent threat to food safety in the Democratic Republic of the Congo (DRC) and neighboring countries, driven by conducive tropical agroecological conditions, inadequate post-harvest practices, and limited regulatory governance. This critical narrative review (2009–2024) synthesizes the occurrence data for major staple foods (maize, peanuts, cassava, sorghum, millet, and beans) and dairy products compiled from Google Scholar, ScienceDirect, MDPI and institutional sources. It examines the co-occurrence patterns, exposure pathways, and analytical and regulatory gaps. Warm, humid lowland environments favor Aspergillus and aflatoxins, whereas cooler, humid highland zones promote Fusarium, fumonisins, and deoxynivalenol. Across commodities, contamination intensifies along food value chains through inadequate drying, non-hermetic storage, insect damage, and prolonged handling, with processed products generally exhibiting the highest levels of mycotoxins. Regulated mycotoxins, including aflatoxins, fumonisins, trichothecenes, ochratoxins, and zearalenone, frequently exceed European Union (EU), East African Community (EAC), and Codex Alimentarius Commission (CAC) limits in staple foods. Their co-occurrence is widespread, including emerging mycotoxins such as beauvericin and enniatins, particularly in maize- and peanut-based products, raising concerns about potential additive or synergistic effects. Aflatoxin M1 in milk highlights plant–feed–animal–human transfer within a One Health framework. Despite increasing evidence, the available data remain fragmented and heterogeneous; rapid tests dominate, while few studies employ multi-mycotoxin LC-MS/MS methods. Cross-border trade between countries, such as Uganda, Tanzania, Zambia and Angola, facilitates the circulation of contaminated commodities in the absence of harmonized standards and risk-based controls. Priorities include harmonized regional surveillance, biomarker-based co-exposure assessment, cost-effectiveness evaluation of mitigation strategies, and regulatory alignment at borders. Coordinated, multisectoral action is essential to reduce chronic dietary exposure and improve food safety across the region. Full article

The growing interest in the role of the gut microbiome in athletic performance has led to the application of various sequencing technologies in this field. This review critically examines the sequencing methodologies used in microbiome studies on physical performance and sport, comparing their advantages, limitations, and applicability. In particular, the focus is on 16S metabarcoding and shotgun metagenomics, evaluating how these methodological approaches influence the interpretation of results in sports contexts. Close attention is directed toward technical challenges, methodological biases, and future perspectives, including emerging technologies and multi-omics approaches. This review aims to bridge the gap between methodological rigor and sports-specific applicability, providing evidence-based methodological guidance to support researchers in designing robust athlete microbiome studies and translating sequencing-derived findings into concrete applications for performance and sports health. Full article

Welfare assessment for the endangered red panda (Ailurus fulgens) in captivity requires systematic behaviour monitoring, yet traditional direct observation is often limited by observer subjectivity and time constraints. This study evaluates the feasibility of employing machine learning (ML) to automate behavioural monitoring of a red panda in a complex, mixed-species enclosure at Aalborg Zoo, Denmark. Using video data from cameras in the enclosure of the red panda, and the ML model LabGym for animal detection and behavioural categorisation, models were trained to analyse activity patterns of the red panda. The results demonstrate that, while the behaviour categorizer is a promising tool with high classification confidence, the overall system effectiveness is currently limited by the object detector’s performance in a naturalistic environment. Challenges such as environmental obstructions (e.g., rocks, foliage, and trees) and the animal’s camouflage contributed to a significant amount of unclassified time, which may affect the overall assessment of behavioural distribution. We conclude that, while ML holds potential for non-invasive behaviour monitoring, its application in complex zoo settings requires improved detection capabilities to be fully reliable. Future iterations of this system could be enhanced by complementing standard object detection with pose estimation frameworks. Implementing alternative labelling strategies or background subtraction methods could additionally mitigate the detection challenges posed by environmental obstruction. Full article

Traditional cancer therapies such as surgery, chemotherapy, and antibody-based treatments often face significant barriers, including systemic toxicity, a lack of selectivity, and the emergence of drug resistance. These issues demand innovative and targeted solutions. Peptide-based therapeutics have gained prominence for their ability to disrupt cancer pathways and facilitate targeted drug delivery, offering structural flexibility, precise targeting, and low immunogenicity with minimal effects on healthy tissues. Concurrently, aptamers, which are structured nucleic acid molecules capable of high-affinity molecular recognition, are being developed as both direct therapeutic agents and as targeting ligands for the improved delivery of anticancer drugs. Combining peptide and aptamer technologies with engineered exosomes provides a modular drug delivery system that enhances targeting specificity, stability, and the ability to cross complex biological barriers such as the blood–brain barrier. The emergence of peptide-decorated, aptamer-decorated exosomes represents a new frontier in precision oncology, promising highly selective, biocompatible, and tunable cancer therapies. Further advances are required to overcome challenges in pharmacokinetics, scalable production, and regulatory compliance, but ongoing bioengineering and nanotechnology research continues to accelerate the translation of these innovative strategies toward improved cancer diagnostics and treatment outcomes. This review discusses the synergistic integration of peptides and aptamers with exosome-based delivery systems, highlighting their current applications and future possibilities. Full article

Bio-based, biodegradable, and renewable polymers offer a promising alternative to traditional synthetic polymers derived from petroleum or other non-renewable resources. However, their use is limited by suboptimal properties and high costs. Incorporating sustainable reinforcements into the polymer matrix significantly improves biopolymer performance while preserving key properties, sustainability, and cost-effectiveness. Bio-based polymeric composites have emerged as a crucial category of biopolymers, playing a key role in advancing a sustainable, circular economy. This review provides an updated overview of bio-based polymer composites and nanocomposites, focusing on reinforcement strategies using natural nanofillers and engineered nanoparticles. We summarize key synthesis and processing methods, discuss structure–property relationships, and highlight recent advances in applications such as food packaging, biomedical devices, energy systems, environmental remediation, 3D printing, and supercapacitors. Polymer nanocomposites are versatile, with their performance depending on the type, size, and interactions between the fillers and the polymer matrix. Progress in metallic, ceramic, carbon-based, natural, and hybrid fillers has improved their properties. Using bio-based polymers and renewable fillers supports sustainability. Natural nanofillers derived from renewable sources and industrial byproducts offer a sustainable approach to developing high-performance, biodegradable nanocomposites. Smart nanocomposites can react to external stimuli by integrating specialized fillers that enhance their mechanical and mobility properties. Shape memory nanocomposites can be remotely activated—using heat, electricity, magnets, or light—enabling advanced applications. Finally, we address major challenges and outline future directions for scalable, circular-material solutions, drawing on perspectives from the circular economy and life cycle assessment (LCA). Full article