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642 papers
This case highlights the technical challenges of identifying melioidosis in a non-endemic region and confirms the diagnosis of melioidosis was difficult due to the misreporting of this isolate with a MALDI-TOF high score as B. thailandensis.
This prototype MRG image translocation software was helpful to 69% of patients with binocular diplopia, but limited by large angle strabismus because of the limited instrument field of view.
By streamlining workflows and fostering collaboration, this platform offers a scalable, cost- effective solution for SMEs and contributes to software engineering by demonstrating how integrated technologies can modernize development processes in resource limited contexts, with potential for broader adoption in Albania and beyond.
The web-based information system successfully replaces manual record-keeping at TPA Al-Jami' and bridges the information gap between teachers and parents in supporting children's Quranic education.
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The results of this study indicate that the Android-based digital library system with QR Code technology improves the speed and accuracy of book borrowing and returning processes through automatic data identification and facilitates the management of book, member, and transaction data.
To investigate the influence of electrode surface roughness on gas discharge characteristics under micro-gap conditions, direct-current breakdown experiments were carried out in atmospheric air using a nano-positioning system. Breakdown tests were conducted for five metal electrodes over the electrode gap distances from 1 to 10 µm, and for one metal with different surface roughness levels over the electrode gap distances from 1 to 20 µm. Meanwhile, the electric field intensity distribution of aluminum electrodes (cathode) with different surface roughness values was simulated using Maxwell electromagnetic field simulation software. The experimental results show that, in the electrode gap distances from 1 to 5 µm, different metal electrodes exhibit different degrees of deviation from the Paschen curve, all of which are related to the work function. At the same electrode gap distance, the rougher the electrode surface, the larger the field enhancement factor β and the lower the breakdown voltage. Analysis indicates that surface protrusions cause local electric field intensification, allowing the field strength to reach the critical condition for field electron emission, thereby reducing the breakdown voltage. In the electrode gap distances from 10 to 20 µm, electrode surface roughness leads to a multiplication of the effective electron emission from the cathode surface, thus enhancing the surface electron emission process. Therefore, in the design of microelectronic devices, reducing electrode surface roughness and selecting metal electrode materials with higher work functions can effectively improve gas breakdown characteristics under small-gap conditions and optimize the insulation protection of microelectronic devices.
Religious tourism has emerged as a significant sector within global tourism, influencing visitor behavior, destination development, and spiritual experiences. Jordan, which is home to several Christian holy sites recognized by the Vatican in 2000, is quite important in terms of pilgrimage, but from a practical perspective, it has still not been fully studied. Understanding the factors that affect visitors' satisfaction and their intention to revisit is crucial for the maintenance of religious tourism sites. This study aims to analyze the behavior of visitors within the scope of religious tourism at five Christian holy sites in Jordan recognized by the Vatican. Specifically, it examines the relationships between travel motivati on, religious tourism experience, religious tourism potential, perceived challenges, overall satisfaction, and re-tourism intention. Data were collected from 500 visitors using a convenience sampling technique. The study employed Smart PLS 4 software to analyze the data through partial least squares–structural equation modeling (PLS-SEM). The proposed hypotheses were tested to assess direct, mediating, and moderating relationships among the study variables. The findings reveal significant relationships among the examined constructs. Visit motivation has a strong positive influence on re-tourism intention. Religious tourism experience and overall satisfaction act as significant mediators in this relationship. Furthermore, religious tourism potential and perceived challenges moderate the effect of visit motivation on re-tourism intention. The study advances religious tourism theory by integrating motivational, experiential, and contextual factors within a single framework. Practically, the findings provide valuable insights for Jordanian tourism authorities and destination stakeholders to enhance visitor experiences, address challenges, and strengthen the sustainability of religious tourism in the region.
Dead-end sections of water distribution systems often experience long residence times and stagnation, causing chlorine residuals to fall below regulatory standards and leading utilities to run continuous blow-offs that increase nonrevenue water. This study proposes a hybrid advection–reaction (AR) and advection–dispersion–reaction (ADR) screening–validation framework to identify cost-effective continuous blow-off configurations that satisfy minimum chlorine residual and pressure requirements across multiple operating scenarios. Candidate configurations are screened in EPANET, a public-domain hydraulic and water quality modeling software, using an AR formulation, within nondominated sorting genetic algorithm II (NSGA-II) to minimize worst-case chlorine deficit penalty while maximizing worst-case treatment-cost savings across multiple scenarios. Shortlisted nondominated configurations are then reevaluated in Washington University dead end simulator (WUDESIM), a dead-end water quality model that uses an ADR formulation and incorporates stochastic water demands, to confirm compliance in dispersion-dominated dead ends and to quantify AR–ADR discrepancy. The framework is tested on a multisource Canadian municipal system with 63 operational blow-offs supported by calibrated hydraulic and chlorine models and stochastic household demands. EPANET screening produced 14 configurations; ADR validation confirmed two configurations satisfied chlorine and pressure criteria, enabling closure of approximately 68%–73% of blow-offs while maintaining compliance, and yielding annual treatment-cost savings of approximately 64%–70% compared with baseline operation with all blow-offs open. AR screening underestimated the mean dead-end chlorine deficiency by up to 14% relative to ADR validation, indicating the importance of ADR confirmation for conservative closure decisions. Sensitivity analysis identifies nodal demand as the dominant source of uncertainty, followed by bulk decay, with wall decay having a smaller influence. Overall, the proposed hybrid workflow provides an efficient and practical approach to ensuring that safe chlorine levels are maintained.
The research results show that gender differences should be considered in the integration process of AI technologies in fine arts education, and that female students, in particular, should be supported in their use of technology.
This work identifies eight kinds of errors that are especially common in NetLogo software and presents code testing methods appropriate for models implemented in NetLogo by novice programmers.
The growing digitalization of the architecture, engineering, and construction (AEC) industry has increased the demand for graduates with strong BIM-related competencies, yet many undergraduate programs—particularly in emerging economies—still approach BIM in a fragmented and software-centered way. This study reports the development and implementation of a structured educational strategy for integrating building information modeling (BIM) into the civil engineering curriculum of a Brazilian public university. The intervention followed a four-phase process: (1) assessment of institutional BIM maturity using a customized 16-indicator matrix, which classified the program at the initial level ( MI = 37.5 % ); (2) curriculum mapping across 66 courses, revealing that 56.1% had potential for BIM integration; (3) pilot implementation in four core courses using project-based and team-based learning; and (4) creation of a long-term institutional roadmap aligned with national policies such as the Brazilian BIM Strategy. Survey results from 43 students indicated moderate to high satisfaction with the learning experience (mean scores between 3.84 and 4.35 on a 1–5 scale) and modest perceived gains in BIM conceptual understanding. Iterative refinements addressed gaps in digital literacy, assessment design, and faculty alignment. The proposed roadmap offers a replicable, evidence-based, and context-sensitive approach for institutions—particularly those in emerging-economy contexts, including but not limited to Latin America—seeking to scale BIM integration in engineering education.
The integration of service holes in glulam beams is increasingly common in mass timber construction; however, these openings introduce stress concentrations that can compromise structural integrity through crack initiation and propagation. This study presents a robust numerical framework for simulating crack behavior around holes in glulam beams using the finite element software Abaqus. The framework incorporates the Wood ST constitutive model, developed based on continuum damage mechanics, to capture the anisotropic damage evolution of timber under tensile and shear loading. Key modeling components include detailed geometric representation, layer-refined meshing strategies, and cylindrical orthotropic material systems to simulate the structure of the laminations. To validate the proposed approach, six glulam beams with three configurations—without holes, with a single hole, and with two holes—were tested under a single point load at midspan. The developed finite element models were calibrated and validated using experimental data, demonstrating strong agreement in terms of load–displacement responses and observed failure modes. The results confirm the model’s capability to predict the structural resistance and deformation behavior of perforated glulam beams. This predictive tool contributes to the advancement of structural design methodologies for engineered timber structures.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.
Education Innovation
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