Search Results (2,001)

Background/Objectives: Antibiotic resistance represents one of the major global health emergencies, driven by the inappropriate use of antibiotics and persistent misconceptions among adults attending general medical clinics. This study, conducted on 325 participants recruited from general medical clinics in the province of Salerno, aimed to assess their knowledge, perceptions, and behaviors regarding antibiotic use. Methods: A cross-sectional, quantitative observational survey was conducted using a structured questionnaire based on the WHO tool and adapted to the local context. Results: The results show that the majority of participants take antibiotics only when prescribed by a doctor (90.2%), but risky practices such as self-medication (10%) and early discontinuation of therapy (16%) persist. In addition, 72% of subjects demonstrate incomplete knowledge about the independent management of drugs, and 86% mistakenly believe that resistance is limited to the individual rather than the community. The descriptive analysis stratified by age showed higher levels of awareness among subjects under 30 years of age, compared to significant knowledge gaps and inappropriate behaviors in the over-65 age group. Conclusions: Despite a good awareness of the need for medical prescriptions and the collective importance of the phenomenon, there are still critical areas of knowledge and incorrect practices that can promote the spread of antibiotic resistance. The data collected underscore the urgency of targeted educational strategies differentiated by age group, integrated with multi-channel communication interventions, in order to promote the appropriate use of antibiotics and contain the impact of one of the most serious global health emergencies. Full article

Lightweight magnesium alloys are gaining increasing attention as potential structural materials for automotive and aerospace applications due to their high specific strength and excellent recyclability. However, their formability and mechanical performance are often limited by strong basal texture and limited recrystallization during thermomechanical processing. In this context, the present study systematically investigates the effect of post-annealing treatment on the microstructural evolution, recrystallization behavior, and mechanical response of a hot-rolled Mg-3Al-1Zn-1Ca alloy. Detailed microstructural characterization revealed that Al₂Ca precipitates were uniformly distributed along grain boundaries in the as-received (AR) condition, where they contributed to significant pinning of boundary migration. Post-annealing treatment (350 °C, furnace cooling) resulted in non-uniform grain coarsening, driven by the interplay of precipitate pinning and differential stored strain energy, while also facilitating particle-stimulated nucleation (PSN) and recrystallization. Electron backscatter diffraction (EBSD) analysis confirmed a substantial increase in the fraction of high-angle grain boundaries and recrystallized grains in the heat-treated (HT) state, with kernel average misorientation (KAM) and grain orientation spread (GOS) analyses indicating pronounced recovery of lattice distortions. Mechanical testing demonstrated a significant decrease in yield strength (263 MPa to 187.4 MPa) and hardness (65.7 to 54.1 HV) due to dislocation annihilation and stress relaxation, while ultimate tensile strength remained nearly unchanged (~338 MPa) and ductility improved markedly (12.6% to 16.4%). These findings highlight the dual role of Al₂Ca precipitates in promoting recrystallization through PSN while simultaneously restricting excessive grain growth through Zener pinning. Full article

Plant viruses can significantly influence the behavior and performance of their insect vectors, with profound implications for viral epidemiology. However, studies on the effects of co-infection with multiple plant viruses on vector feeding behavior remain scarce, despite its frequent occurrence in nature and potential for altered transmission outcomes. Bemisia tabaci MED, a key vector insect, is closely linked to the rapid spread of tomato chlorosis virus (ToCV) and tomato yellow leaf curl virus (TYLCV) in China. In this study, the electrical penetration graph (EPG) technique was employed to investigate and compare the indirect (via infected plants) and direct (via viruliferous insects) effects of ToCV alone and ToCV and TYLCV co-infection on the feeding behaviors of B. tabaci MED. The results revealed that whiteflies on ToCV-infected or ToCV&TYLCV co-infected plants exhibited significantly longer non-probing durations compared to those on un-infected plants. The intracellular puncture activity of whiteflies was markedly reduced on virus-infected plants, and ToCV infection particularly shortened the duration of phloem sap ingestion. Moreover, viruliferous whiteflies (carrying ToCV or both viruses) spent less time in the intercellular pathway phase. Specifically, ToCV-viruliferous whiteflies had a shorter first-probe duration than non-viruliferous ones. The time from the first probe to the first E phase was also shorter in viruliferous whiteflies, especially in those carrying both ToCV and TYLCV. Furthermore, a significant difference was observed in the total duration of phloem sap ingestion between ToCV-viruliferous and ToCV&TYLCV-viruliferous whiteflies. These findings indicate that both ToCV infection and ToCV&TYLCV co-infection can modulate whitefly feeding behaviors through indirect and direct manners, with co-infection eliciting unique behavioral changes. These insights are valuable for elucidating the negative impact of ToCV-infected and ToCV&TYLCV co-infected tomato plants on whitefly performance, and for uncovering the mechanisms underlying the epidemics of these viruses. Full article

Remote sensing of wildland fires has become an integral part of fire science. Airborne sensors provide high spatial resolution and can provide high temporal resolution, enabling fire behavior monitoring at fine scales. Fire agencies frequently use airborne long-wave infrared (LWIR) imagery for fire monitoring and to aid in operational decision-making. While tactical remote sensing systems may differ from scientific instruments, our objective is to illustrate that operational support data has the capacity to aid scientific fire behavior studies and to facilitate the data analysis. We present an image processing algorithm that automatically delineates active fire edges in tactical LWIR orthomosaics. Several thresholding and edge detection methodologies were investigated and combined into a new algorithm. Our proposed method was tested on tactical LWIR imagery acquired during several fires in California in 2020 and compared to manually annotated mosaics. Jaccard index values ranged from 0.725 to 0.928. The semi-automated algorithm successfully extracted active fire edges over a wide range of image complexity. These results contribute to the integration of infrared fire observations captured during firefighting operations into scientific studies of fire spread and support landscape-scale fire behavior modeling efforts. Full article

The control of infectious diseases plays a critical role in safeguarding the health of species and ecosystems. In this study, we investigate the combined effects of prey refuge and harvesting as mechanisms to limit the spread of disease within predator populations. A deterministic model is developed to examine the system dynamics through local stability analysis of equilibria, and the framework is further extended to an uncertain setting via a fuzzified model. The analysis shows that for small refuge values, the system reaches a stable state where infected predators move toward extinction, while prey and susceptible predators exhibit strong oscillations. As the refuge increases, the system undergoes a Hopf bifurcation, transitioning from periodic oscillations to a stable interior equilibrium. Beyond a critical threshold, oscillations disappear entirely. Harvesting of susceptible predators reveals that moderate harvesting induces oscillatory behavior in both prey and susceptible predator populations, whereas excessive harvesting can drive both predator classes to extinction. Harvesting of infected predators, by contrast, consistently drives their extinction regardless of harvesting intensity, with the other populations maintaining oscillatory patterns. These results indicate that an appropriate combination of prey refuge and harvesting can serve as an effective strategy for disease control in predator populations. Full article

Background: Visceral pleural invasion (VPI) has traditionally been regarded as a negative prognostic indicator in non-small-cell lung cancer (NSCLC). However, with the increasing adoption of sublobar resection for small-sized NSCLC, the clinical significance of VPI is being fundamentally reassessed. Specifically, it remains uncertain whether VPI is indicative of tumor size or represents distinct metastatic behavior. Methods: We conducted a retrospective comprehensive multicenter study involving 2464 patients with pathologically confirmed NSCLC ≤ 3 cm who underwent complete resection at three Japanese institutions. The prevalence, metastatic patterns, and prognostic impact of VPI were systematically evaluated, with particular focus on histological growth patterns. Results: VPI was identified in 370 patients (15%). Notably, VPI-positive tumors demonstrated a doubled incidence of lymph node metastasis (31% vs. 15%, p < 0.001) and a distinct metastatic profile characterized by preferential hilar spread (#12, 16.9%) and an increased risk of skip N2 metastasis (4.0% vs. 2.0%). Five-year recurrence-free survival was significantly reduced in the VPI group (33.7% vs. 50.6%, respectively). Conversely, adenocarcinomas with lepidic characteristics demonstrated a minimal risk of VPI or nodal metastasis, with incidences of 2% and 1%, respectively. This finding highlights the heterogeneity in the biological aggressiveness of small-sized NSCLC. Conclusions: Our findings suggest that VPI is not merely a histopathological descriptor but also acts as a clinically significant indicator of aggressive metastatic behavior, potentially enhancing surgical and staging approaches beyond just considering tumor size. With the increasing adoption of sublobar resection for small-sized NSCLC, recognizing that VPI appears to be associated with predominant hilar involvement and an elevated risk of skip N2 metastasis may help refine decisions on the extent of lung and lymph node resection. Full article

The management of chronic rumination syndrome in professionally cared-for animals requires a comprehensive and individualized approach. In this case study, a multimodal approach incorporating pharmacological treatment, feeding modifications, and behavioral management was applied to a California sea lion (Zalophus californianus) with rumination syndrome, megaesophagus, and hypothyroidism. Behavioral observations were collected through video recordings both prior to and post-intervention. Interventions included oral naltrexone and contingent reinforcement post-feed to provide alternative enrichment activities after feeding sessions to reduce rumination syndrome, as well as levothyroxine for hypothyroidism. Additionally, dietary modifications involved offering smaller food portions, spreading meals across longer time periods, and feeding in a more upright position to facilitate esophageal passage. Results showed a reduction in the frequency of rumination syndrome, with no visible regurgitated material observed five months post-intervention. The sea lion demonstrated improved engagement in training sessions, voluntary husbandry tasks, and open-water activities, as well as improved interactions with conspecifics. The combination of pharmacological, dietary, and behavioral strategies reduced rumination behavior and improved the animal’s overall quality of life, reinforcing the value of individualized care strategies and multimodal treatment plans in addressing complex medical and behavioral comorbidities. These findings show the importance of individualized, multimodal care plans in managing complex behavioral and medical conditions, and they contribute to advancing animal-welfare practices across species. Full article

Spread Through Air Spaces (STAS) is an emerging pattern of tumor invasion in lung cancer, first recognized by the World Health Organization in 2015. This narrative review examines STAS from a multidisciplinary perspective, integrating pathologic, radiologic, oncologic, and surgical points of view, together with molecular biology to assess its clinical significance, diagnostic challenges, and therapeutic implications. Pathologically, STAS is characterized by tumor cells floating beyond the main tumor, contributing to recurrence and poor prognosis. Radiologic advancements suggest potential imaging markers for STAS, such as spiculation, the absence of an air bronchogram, solid tumor components, as well as high fluorodeoxyglucose uptake, though definitive preoperative identification remains challenging. Oncologic studies link STAS to aggressive tumor behavior and lympho-vascular invasion, suggesting a role for adjuvant chemotherapy even in the earliest stages of disease; furthermore, specific molecular alterations have been discovered, including EGFR wild-type status and ALK/ROS1 rearrangements together with high Ki-67 expression, tumor necrosis, and alterations in cell adhesion proteins like E-cadherin. Surgical aspects highlight the increased risk of recurrence following limited resection, raising concerns about optimal surgical strategies. The debate over STAS as a true invasion mechanism versus an artifact from surgical handling underscores the need for standardized pathological evaluation. This review aims to refine STAS detection, integrate it into multidisciplinary treatment decision-making, and assess its potential as a staging criterion in lung cancer management. Full article

Antimicrobial resistance (AMR) is widely recognized as a major global public health threat, yet its origins and implications extend beyond the simple misuse or overuse of antibiotics. This study explores AMR as a complex, multifactorial phenomenon shaped by biological, clinical, dental, environmental, and social dynamics, with particular attention to the emerging role of dentistry. A narrative literature review was performed, drawing from textbooks, peer-reviewed articles, and official World Health Organization (WHO) reports, with emphasis on recent findings on periodontal biofilms as reservoirs of resistance genes. The analysis shows that AMR develops through bacterial mutations, horizontal gene transfer, environmental contamination, healthcare-associated practices, and patient behaviors, all of which interact to sustain its spread. Within dentistry, subgingival microresistances are gaining relevance, complicating treatment strategies and underscoring the need for more conscious clinical decision-making. The findings suggest that reducing antibiotic prescriptions or developing new drugs alone will not suffice; instead, a systemic, interdisciplinary approach is required, integrating microbiology, clinical practice, public health, and institutional responsibility. Such awareness is essential to confront the significant clinical, economic, and social implications of AMR and to foster strategies capable of addressing its complex and evolving nature. Full article

Glioblastoma is the most aggressive and treatment-resistant form of primary brain tumors, characterized by rapid invasion and a poor prognosis. Its complex behavior continues to challenge both clinical interventions and research efforts. Mathematical modeling provides a valuable approach to unraveling a tumor’s spatiotemporal dynamics and supporting the development of more effective therapies. In this study, we built on the existing literature by refining and adapting mathematical models to better capture glioblastoma infiltration, using a partial differential equation (PDE) framework to simulate how cancer cell density evolves across both time and space. In particular, the role of cell diffusion and growth in tumor progression and their limitations due to cell crowding and competition were investigated. Experimental data of glioblastoma taken from the literature were exploited for the identification of the model parameters. The improved data reproduction when the limitations of cell diffusion and growth were taken into account proves the relevant impact of the considered mechanisms on the spread of the tumor population, which underscores the potential of the proposed framework. Full article

Many experienced isolation and restricted behaviors due to the rapid onset of the COVID-19 pandemic in 2020. Investigations related to the psychological factors such as stress along with the danger of spread and contamination are scarce. The COVID-19 stress scale (CSS) was developed in order to evaluate such stress and anxiety related to the COVID-19 pandemic. The current study investigated the psychometric properties of the CSS, using a survey to provide evidence towards its continued use as a scientifically sound measuring instrument for future acute health crises in a sample of 615 college students (78.80% female, 18.60% male, 1.30% trans male, 1.00% non-binary), with a mean age of 19.10 years. The study partially supported the original measure’s factor structure. The main modification suggests a five-factor structure and removal of items related to less frequently used methods of banking and postal mail. The authors provide suggestions for future validation directions, use of the CSS and development of stress response strategies for students. Full article

Temporal network diffusion models play a crucial role in healthcare, information technology, and machine learning, enabling the analysis of dynamic event-based processes such as disease spread, information propagation, and behavioral diffusion. This study addresses the challenge of reconstructing temporal network diffusion events in real time under conditions of missing and evolving data. A novel non-parametric reconstruction method by simple weights differentiationis proposed to enhance source detection robustness with provable improved error bounds. The approach introduces adaptive cost adjustments, dynamically reducing high-risk source penalties and enabling bounded detours to mitigate errors introduced by missing edges. Theoretical analysis establishes enhanced upper bounds on false positives caused by detouring, while a stepwise evaluation of dynamic costs minimizes redundant solutions, resulting in robust Steiner tree reconstructions. Empirical validation on three real-world datasets demonstrates a 5% improvement in Matthews correlation coefficient (MCC), a twofold reduction in redundant sources, and a 50% decrease in source variance. These results confirm the effectiveness of the proposed method in accurately reconstructing temporal network diffusion while improving stability and reliability in both offline and online settings. Full article

The landscape of marketing is rapidly evolving as companies adapt to new societal dynamics and technological advancements. Guerrilla marketing, characterized by its unconventional, creative, and cost-effective tactics, has proven effective in capturing consumer attention. When integrated with social media platforms, these tactics gain amplified reach, immediacy, and interactive potential, fostering viral spread and deeper consumer engagement. This research seeks to answer the pivotal question: “How does guerrilla marketing on social media influence consumer behavior and brand awareness?” To address this, a comprehensive literature review was conducted to provide an in-depth analysis of relevant studies in the field. Our findings reveal that this integration significantly enhances consumer engagement, boosts brand awareness, and positively influences purchasing behavior. Moreover, it provides firms with competitive advantages in dynamic, resource-constrained markets. The results highlight the importance of leveraging creative marketing approaches alongside digital platforms to shape consumer choices and drive successful marketing outcomes in the digital age. Full article

Nanomaterials play a beneficial role in regulating the function of cement-based materials. The effects and mechanism of graphene oxide (GO) on foam behavior in solutions and air-entraining behavior of cement mortar were studied, and its effect on the microstructure of cement mortar was also investigated. The results show that a synergy between GO’s hydrophobicity and the air-entraining agent’s hydrophobic chains drove more agent molecules to adsorb onto the GO surface, subsequently spreading and aggregating across the bubbles. GO effectively assisted the air entraining agent to refine the bubble size, improved the bubble stability of aqueous solutions, and had excellent air entraining performance in the fresh cement mortar, as well as the optimum air-void adjustment performance of hardened cement mortars. With the addition of 0.4‰ GO, the loss rate of gas content in the GO mixed mortar was 10.3%, which was 55.8% lower than that when only using AEA. The addition of 0.4‰ of GO effectively increased the volume fraction of the cement mortar system. GO reduced the pore volume in the mortar through the filling effect and nucleation effect to reduce the total porosity and refine the microstructure of the mortar. Full article

The revealed capability of generative AI tools can significantly transform the way knowledge work is conducted. With more tools being built and implemented, generative AI-aided knowledge work starts to emerge as a new normal, where knowledge workers shift a significant portion of their workloads to the tools. This new normal can lead to many concerns and issues including workers’ mental health, employees’ confusion in production, and potential spreading misknowledge. Considering the substantial portion of knowledge work in the US economy, this paper calls for more research to be conducted on this important area. This paper synthesizes relevant economic and behavioral research findings in the AI automation field and opinions of field experts, and presents a comprehensive framework, “generative AI-aided knowledge work”. This framework theoretically addresses concerns such as job replacement and organizational and behavioral factors in using generative AI and provides directions for future research and guidelines for practitioners in incorporating generative AI tools. This is one of the early attempts to provide a comprehensive overview of generative AI’s impacts on knowledge workers and production. It has the potential to seed future research in many areas such as countering misknowledge and employees’ mental health. Full article