Search Results (26,345)

The article’s primary purpose is to highlight the importance of cybersecurity for Internet of Things (IoT) devices. Due to the widespread use of such devices in everyone’s daily and professional lives, taking care of their security is essential. This security can be strengthened by raising awareness about the vulnerabilities and risks of these devices among their manufacturers and users. Therefore, this paper shows the results of several years of work regarding building vulnerabilities and exploiting databases, with a particular focus on IoT devices. We highlight multiple unique features of our solution, such as aggregation, correlation, and enrichment of known vulnerabilities and exploits collected from 12 different sources, presentation of a timeline of threats, and combining vulnerability information with exploits. Our databases have more than 300,000 entries, which are the result of aggregating and correlating more than 1,300,000 entries from 12 different databases simultaneously, enriched with information from unstructured sources. We cover the innovative utilization of Artificial Intelligence (AI) to support data enrichment, examining the usage of the Light Gradient-Boosting Machine (LGBM) model to automatically predict vulnerability severity and Mistral7B to categorize vulnerable products, which, especially in the case of IoT devices, is critical due to the diversity of nomenclature. Social media and various unstructured sources are prominent places for gathering information. Retrieving data from them is much more complex than from structured databases, but the information there is normally supplied at a faster rate. Thus, we added Mastodon monitoring to enhance our threat timelines. Full article

To address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph convolution is proposed. First, the standard coordinate encoding is improved by generating an unbiased heat map, and the distribution-aware method is used for decoding coordinates to reduce the error in decoding the coordinate encoding of joints. Then, the complex dependency relationship between the joints and the relationship between pixels and joints of the hand are modeled by using graph convolution, and the feature information of the hand joints is enhanced by determining the relationship between the hand joints. Finally, the skeletal constraint loss function is used to impose constraints on the joints, and a natural and undistorted hand skeleton structure is generated. Training tests are conducted on the public gesture interaction dataset STB, and the experimental results show that the method in this paper can reduce errors in hand joint point detection and improve the estimation accuracy. Full article

Underwater vision data facilitate a variety of underwater operations, including underwater ecosystem monitoring, topographical mapping, mariculture, and marine resource exploration. Conventional laser-based underwater imaging systems with complex system architecture rely on high-cost laser systems with high power, and software-based methods can not enrich the physical information captured by cameras. In this manuscript, a low-cost modulated laser-based imaging system is proposed with a spot in the shape of a square ring to eliminate the overlap between the illumination light path and the imaging path, which could reduce the negative effect of backscatter on the imaging process and enhance imaging quality. The imaging system is able to achieve underwater imaging at long distance (e.g., 10 m) with turbidity in the range of 2.49 to 7.82 NTUs, and the adjustable divergence angle of the laser tubes enables the flexibility of the proposed system to image on the basis of application requirements, such as the overall view or partial detail information of targets. Compared with a conventional underwater imaging camera (DS-2XC6244F, Hikvision, Hangzhou, China), the developed system could provide better imaging performance regarding visual effects and quantitative evaluation (e.g., UCIQUE and IE). Through integration with the CycleGAN-based method, the imaging results can be further improved, with the UCIQUE increased by 0.4. The proposed low-cost imaging system with a compact system structure and low consumption of energy could be equipped with platforms, such as underwater robots and AUVs, to facilitate real-world underwater applications. Full article

Over the last three decades, the receipt of formal sexuality education has declined, with half of adolescents nationwide receiving the minimum Healthy People standard of sexuality education from 2015 to 2019. Further, racial and geographic inequities in sexuality education remain, with Black women and girls more likely to receive abstinence-only-until-marriage instruction. We sought to describe Black women’s sexual education in two southern states, North Carolina and Georgia. We conducted a qualitative community-based participatory research study. We held focus-group discussions with forty-nine Black women in Georgia and North Carolina between May 2019 and January 2020. The research team, the reproductive justice organization, and the Research Board reviewed, discussed, and refined themes developed using deductive thematic analysis. Most participants were employed. The median age was twenty-seven. From the participants’ accounts, we observed the inadequacy of sexuality education and the resulting process of unlearning inaccurate, negative information and learning positive and accurate information about sexuality. Participants expressed a desire for accessible, high-quality sexual education for themselves and the next generation that addresses autonomy, pleasure, and consent. Our findings highlight the need for investment in existing community efforts and in creating high-quality, culturally responsive comprehensive sexuality education nationwide to effectively address structural barriers to accessing sexuality and relationship information and skills. Full article

Droplet quality in drop-on-demand (DoD) Electrohydrodynamic (EHD) inkjet printing plays a crucial role in influencing the overall performance and manufacturing quality of the operation. The current approach to droplet printing analysis involves manually outlining/labeling the printed dots on the substrate under a microscope and then using microscope software to estimate the dot sizes by assuming the dots have a standard circular shape. Therefore, it is prone to errors. Moreover, the dot spacing information is missing, which is also important for EHD DoD printing processes, such as manufacturing micro-arrays. In order to address these issues, the paper explores the application of feature extraction methods aimed at identifying characteristics of the printed droplets to enhance the detection, evaluation, and delineation of significant structures and edges in printed images. The proposed method involves three main stages: (1) image pre-processing, where edge detection techniques such as Canny filtering are applied for printed dot boundary detection; (2) contour detection, which is used to accurately quantify the dot sizes (such as dot perimeter and area); and (3) centroid detection and distance calculation, where the spacing between neighboring dots is quantified as the Euclidean distance of the dot geometric centers. These stages collectively improve the precision and efficiency of EHD DoD printing analysis in terms of dot size and spacing. Edge and contour detection strategies are implemented to minimize edge discrepancies and accurately delineate droplet perimeters for quality analysis, enhancing measurement precision. The proposed image processing approach was first tested using simulated EHD printed droplet arrays with specified dot sizes and spacing, and the achieved quantification accuracy was over 98% in analyzing dot size and spacing, highlighting the high precision of the proposed approach. This approach was further demonstrated through dot analysis of experimentally EHD-printed droplets, showing its superiority over conventional microscope-based measurements. Full article

The Gaia DR3 GSP-spec/TESS (GST) catalog combines asteroseismic data from NASA’s TESS mission with spectroscopic data from ESA’s Gaia mission, and contains about 116,000 Red Clump and Red Giant Branch stars, surpassing previous datasets in size and precision. The Bayesian tool PARAM is used to estimate stellar ages using MESA models for, currently, 30,297 stars. This GST catalog, which includes kinematics and chemical information, is adopted for studying the Milky Way’s structure and evolution, in particular its thin and thick disk components. Full article

The main objective of this article is to analyze the effect of a group of predictors on entrepreneurial intention from the perspective of emotional competencies. To achieve this aim, a sample of 996 students belonging to ten public and seven private universities was selected, with each university having been granted high-quality accreditation by the Colombian Ministry of Education. The theoretical approach was based on Ajzen’s Theory of Planned Behavior (TPB), and the empirical analysis was based on structural equation models. Eight hypotheses were tested, with entrepreneurial intention as the dependent variable and emotional competencies, subjective norms, entrepreneurial self-efficacy, and entrepreneurial attitude as independent variables. The information was obtained by applying a questionnaire with a Likert scale to students of subjects related to entrepreneurship. From the findings of the study, it is concluded that in the two ecosystems analyzed (public and private), emotional competencies (EC) have neither a direct influence on entrepreneurial intention (EI) nor an indirect one since no significant influence is observed between emotional competencies and entrepreneurial attitude; however, a direct and positive effect was recorded between the self-efficacy and entrepreneurial attitude constructs on entrepreneurial intention. In addition, it is observed that subjective norms (SN) do not directly affect EI, but they do influence it indirectly, being mediated by entrepreneurial attitude and self-efficacy. The contribution of this study is focused on obtaining a better understanding of the entrepreneurial intentions of university students in Colombia, which will make it possible to foster strategies for the generation of youth employment and public policies to promote various entrepreneurial initiatives. This could be based on government regulations adopted in the last decade, which are still under development, and the broad participation of university students and research groups of higher education institutions. Furthermore, given the dearth of research examining the impact of emotional competencies on the entrepreneurial intentions of young Colombian university students, this study aims to bridge the existing knowledge gap, thereby contributing to the development of a more robust body of literature that can inform the design and implementation of educational strategies and public policies aimed at fostering entrepreneurship within the university ecosystems of this country. Full article

Plantations are not inherently normal, yet they have been normalized within traditional agricultural landscapes. This is the premise through which we explore why plantations thrive despite numerous social and ecological drawbacks. Accordingly, the aim of this paper is to present a framework to elucidate why Hass avocado plantations succeed, using Salamina, Colombia as a case study. We argue that these plantations prosper through a process of normalization, driven by the dynamic interplay between social structures and human agency in agriculture. Our theoretical framework regarding normalization unfolds in three stages: prescription, implementation embeddedness, and integration. To reach this outcome, we first build a theoretical foundation based on realist social theory and subsequently conduct a primarily qualitative case study, focusing on neighboring respondents to plantations for understanding the process of introduction, development, and persistence of these plantations in the landscape. Additionally, we consider supplementary interviews and secondary information to understand the context of Hass avocado expansion. We found that while normalization may appear to involve passive conformity, our analysis highlights the critical role of human agency. As our study demonstrates, agency fosters reflection and sustains various forms of resistance and counterbalance against systemic pressures. This recognition underscores the potential for proactive engagement and transformative action within agricultural systems, challenging and reshaping the prevailing norms. Full article

Characterizing Management Units (MUs) with tree-level data is instrumental for a comprehensive understanding of forest structure and for providing information needed to support forest management decision-making. Airborne Laser Scanning (ALS) data may enhance this characterization. While some studies rely on Individual Tree Detection (ITD) methods using ALS data to estimate tree diameters within stands, these methods often face challenges when the goal is to characterize MUs in dense forests. This study proposes a methodology that simulates diameter distributions from LiDAR data using an Area-Based Approach (ABA) to overcome these limitations. Focusing on maritime pine (Pinus pinaster Ait.) MUs within a forest intervention zone in northern Portugal, the research initially assesses the suitability of two highly flexible Probability Density Functions (PDFs), Johnson’s SB and Weibull, for simulating diameter distribution in maritime pine stands in Portugal using the PINASTER database. The selected PDF is then used in conjunction with ABA to derive the variables needed for parameter recovery, enabling the simulation of diameter distributions within each MU. Monte Carlo Simulation (MCS) is applied to generate a sample list of tree diameters from the simulated distributions. The results indicate that this methodology is appropriate to estimate diameter distributions within maritime pine MUs by using ABA combined with Johnson’s SB and Weibull PDFs. Full article

This paper aims to provide a framework for guiding organizations toward Agile practices for project management. Through a case study analysis conducted in an information technology company, the paper aims to explore the interplay between current organization structure and project management approaches, the set of competencies, and the cultural change required for a transition toward Agile transformation. The paper provides a framework comprising four main blocks necessary for guiding organizations toward Agile practices for successful project management. The framework proposed demonstrates that for organizations to be nimble and to improve teamwork performance, it is necessary to undertake a set of changes in culture, competencies, structure, and approaches. The findings highlight the importance of a structured approach to Agile transformation, with particular emphasis on top management support and continuous learning. By formalizing Agile initiatives through structured approaches and continuous engagement, organizations can foster a shared sense of purpose among team members, ensuring sustained commitment and facilitating smoother transitions. Full article

The zygomatic bone, a fundamental structure in facial anatomy, is exposed to fractures in impact situations, such as traffic accidents or contact sports. The installation of zygomatic implants can also alter the distribution of forces in this region, increasing the risk of fractures. To evaluate this situation, the first step is to develop a complex anatomical model from the stomatognathic point of view so that simulations in this sense can be validated. This study uses numerical simulation using a finite-element method (FEM) to analyze the behavior of the zygomatic bone under impacts of different velocities, offering a more realistic approach than previous studies by including the mandible, cervical spine, and masticatory muscles. Methods: An FEM model was developed based on 3D scans of actual bones, and simulations were performed using Abaqus Explicit 2023 software (Dassault Systemes, Vélizy-Villacoublay, France). The impact was evaluated using a steel cylinder (200 mm length, 40 mm diameter, 2 kg weight) impacted at speeds of 5, 10, 15, and 20 km/h. Zygomatic, maxillary, and mandibular bone properties were based on dynamic stiffness parameters, and bone damage was analyzed using ductile fracture and fracture energy criteria. Results: The results show that at impact velocities of 15 and 20 km/h, the zygomatic bone suffered crush fractures, with impact forces up to 400 kg. At 10 km/h, a combination of crushing and bending was observed, while at 5 km/h, only local damage without complete fracture was detected. The maximum stresses were concentrated at the zygoma–jaw junction, with values above 100 MPa at some critical points. Conclusion: The FEM model developed offers a detailed representation of the mechanical behavior, integrating the main structures of the stomatognathic apparatus of the zygomatic bone under impact, providing valuable information to, for example, advance injury prevention and zygomatic implant design. Higher impact velocities result in severe fractures, underscoring the need for protective measures in clinical and sports settings. Full article

Within the context of agricultural green development, the construction of high-standard farmland plays a crucial role in enhancing agricultural productivity, ensuring food security, and achieving sustainable development. However, as the direct participants, farmers’ willingness and enthusiasm to engage in high-standard farmland construction largely determines the success of these initiatives. Therefore, based on data from 326 samples in Qinghai Province, this study employs a structural equation model to analyze the impact of farmers’ cognition and the current condition of farmland on the willingness to participate in high-standard farmland construction and verify the mediating effect of information trust. The results indicate the following: (1) the impact pathways of farmers’ cognition on participation willingness vary across different dimensions, with subjective norms and behavioral attitudes having a direct positive influence, while perceived behavioral control shows no direct effect; (2) the current condition of farmland has a direct and significant negative effect on participation willingness; (3) information trust exhibits varying mediating effects across different pathways, showing a partial mediating effect on behavioral attitudes and subjective norms, a full mediating effect on perceived behavioral control, and a suppressive effect on farmland condition. This study, grounded in the context of China’s green agricultural development goals, provides new insights into the relationship between government policy implementation and farmers’ willingness to participate. It establishes a scientific foundation for policymakers to formulate strategic green development policies. Full article

The objective was to evaluate the evolution of the population structure, reproductive performance, inbreeding, and genetic diversity in Charolais cattle. Official genealogical information from the Ecuadorian Charolais Association was divided into five populations: (a) historical (total), (b) 2008–2012 (natural mating period), (c) 2013–2017 (natural mating + artificial insemination period), (d) 2018–2022 (artificial insemination + embryo transfer period), and (e) the reference (known sires and dams) from which the population structure was evaluated using pedigree completeness and the generation interval (GI). Meanwhile, for genetic diversity (GD), inbreeding (F), average relatedness (AR), and the effective population size (Ne) were estimated. The gene origin probability (number of founders, effective number of founders/ancestors, and number of founder genomes) explaining genetic variability, reproductive efficiency, the number of offspring per sire and dam, and the average ages of parents at the birth of their offspring were determined. The database was analyzed using the ENDOG, POPREP, and CFC software programs. The results indicate that pedigree completeness and the GI decreased over time among populations, although the first generation showed higher values. The sire gametic pathway was greater in all populations. F increased over time, although not markedly. Although Ne variations were observed, the levels remained above the recommended limit value. The GD loss increased progressively over time although the most recent population was not significantly affected. Finally, the female reproductive efficiency increased over time as well. In conclusion, the Charolais cattle GI should be reduced. After 2012, the use of Assisted Reproductive Technologies and breeding schemes raised the GD loss. Finally, the F increased over time although it could be reduced using foreign genetic resources in the current Ecuadorian Charolais population. Full article

To better understand host–phage interactions and the genetic bases of phage resistance in a model system relevant to potential phage therapy, we isolated several spontaneous mutants of the USA300 S. aureus clinical isolate NRS384 that were resistant to phage K. Six of these had a single missense mutation in the host rpoC gene, which encodes the RNA polymerase β’ subunit. To examine the hypothesis that mutations in the host RNA polymerase affect the transcription of phage genes, we performed RNA-seq analysis on total RNA samples collected from NRS384 wild-type (WT) and rpoC_G17D mutant cultures infected with phage K, at different timepoints after infection. Infection of the WT host led to a steady increase of phage transcription relative to the host. Our analysis allowed us to define 53 transcriptional units and to categorize genes based on their temporal expression patterns. Predicted promoter sequences defined by conserved −35, −10, and, in some cases, extended −10 elements, were found upstream of early and middle genes. However, in many cases, sequences upstream of late genes did not contain clear, complete, canonical promoter sequences, suggesting that factors in addition to host RNA polymerase are required for their expression. Infection of the rpoC_G17D mutant host led to a transcriptional pattern that was similar to that of the WT at early timepoints. However, beginning at 20 min after infection, transcription of late genes (such as phage structural genes and host lysis genes) was severely reduced. Our data indicate that the rpoC_G17D mutation prevents the expression of phage late genes, resulting in a failed infection cycle for phage K. In addition to illuminating the global transcriptional landscape of phage K throughout the infection cycle, this study will inform our investigations into the basis of phage K’s control of its transcriptional program as well as mechanisms of phage resistance. Full article

The rising complexity of construction projects and the industry’s commitment to sustainable practices have driven the extensive adoption of Building Information Modeling (BIM) technology. A core function of BIM is the early identification and resolution of clashes during the design phase, which serves to mitigate costly rework and delays in the construction process. This study presents an advanced method for classifying and prioritizing hard clashes between structural components and mechanical, electrical, and plumbing (MEP) systems. Employing the Best-Worst Method (BWM), this research assigned specific weights to structural and MEP elements based on expert evaluations. Six parameters were incorporated into this prioritization framework: the weights determined by the BWM, outputs from Navisworks software (v2021), the ratio of MEP volume to floor volume, the functional purpose of each floor, and the number of adjacent elements. A custom-developed plugin for Autodesk Navisworks integrated these parameters, enabling real-time automated clash prioritization. Clashes were ranked by criticality through a calculation involving the six parameters, which enhanced the efficiency of clash detection by optimizing time and cost considerations during the design phase. Case study results indicate that beams and columns represent the most critical structural elements, while ducts are identified as the most significant MEP elements. The proposed method substantially improves clash detection and prioritization efficiency and accuracy, yielding considerable benefits in project management and resource allocation. Full article