Search Results (5,877)

This study examines the implementation of an ISO 50001-compliant energy management system (EnMS) at the Saudi Standards, Metrology, and Quality Organization (SASO), a governmental organization in the Kingdom of Saudi Arabia, and the resulting environmental and business benefits. The methodologies used across three SASO sites (Riyadh, Jeddah, and Dammam), including energy audits, implementation procedures, and performance dashboards, are examined, supported by comprehensive data analysis and statistical regression, and the benefits in terms of energy reductions and cost savings are quantified. The obstacles to and drivers of implementation are also considered. The results show that, through strict adherence to ISO 50001 guidelines and the deployment of a range of energy efficiency measures, SASO has achieved a 39% reduction in electricity consumption since 2019, resulting in cost savings of approximately USD 3.6 million. The organization has also achieved a 38% reduction in CO₂ emissions over the same period. This study demonstrates the pivotal role ISO 50001 plays in enhancing organizational sustainability and provides actionable insights into how it can be operationalized within the government sector to achieve significant environmental and economic benefits. Full article

Previous research has shown that fractions outperformed extracts in pharmacological activity and safety. This study assessed the total phenol and flavonoid content, as well as antioxidant and xanthine oxidase inhibitory (XOI) activities, of purple-orange sweet potato extracts, fractions, and subfractions. Using UV-visible spectrophotometry, the leaves showed the highest values for total phenol, flavonoid, 2,2-diphenyl-1-picrylhydrazyl (DPPH), Ferric Reducing Antioxidant Power (FRAP), Cupric Ion Reducing Antioxidant Capacity (CUPRAC) assays, and XOI activity. The sequential extraction of the leaves yielded ethyl acetate extract as the most potent, with a yield of 10.4%, a DPPH assay result of 511.212 ± 0.416 mg ascorbic acid equivalent antioxidant capacity (AEAC)/g, and XOI activity of 45.192 ± 4.981 mg allopurinol equivalent xanthine inhibitory capacity (AEXIC)/g. CF5 had the greatest DPPH assay (158.475 ± 0.170 mg AEAC/g), FRAP assay (86.849 ± 0.048 mg AEAC/g), CUPRAC assay (1008.892 ± 1.620 mg AEAC/g), and XOI activity (6.062 ± 1.730 mg AEXIC/g) values. Subfraction CSF3 from fraction CF5 was analyzed using UPLC-MS/MS and revealed the presence of compounds such as cholest-4-en-3-one, 4-hydroxy-6-[2-(2-methyl-1,2,4a,5,6,7,8,8a-octahydronaphthalen-1-yl) ethyl] oxan-2-one, tangeritin, 4-methyl benzophenone, benzophenone, (+)-ar-turmerone, 4-methoxycinnamic acid, and ricinine. This study was the first to report xanthine oxidase inhibitory activity in allopurinol equivalence. The leaves of the purple-orange sweet potato showed potential as a source of natural antioxidants. Full article

Cement production is a major contributor to CO₂ emissions, while construction and demolition waste (CDW) presents growing environmental challenges. The new European standard UNE-EN 197-6 permits the use of recycled concrete fines as partial clinker replacements, providing a regulatory framework for integrating CDW into cementitious systems. This study investigates two CDW-derived fillers, FHH (recycled concrete filler) and FHC (recycled ceramic–concrete mixed filler), as partial substitutes for ordinary Portland cement (OPC). The materials were characterized using XRD, XRF, FTIR, and particle size analysis. Cement pastes and mortars with 10%, 20%, and 30% volume replacements were evaluated for hydration behavior, mechanical performance, and durability. At lower replacement levels, FHC promoted ettringite formation and microstructural refinement, while FHH favored carbonate hydrate development; both fillers also exhibited durability comparable to the control. At higher levels, they maintained satisfactory compressive strength. This study offers critical insights into the integration of CDW-derived fillers into cementitious systems, revealing their potential to significantly reduce clinker consumption while maintaining high mechanical and durability standards. Full article

In recent years, Facility Management has undergone significant technological and methodological advancements, primarily driven by Building Information Modelling (BIM), Computer-Aided Facility Management (CAFM), and Computerized Maintenance Management Systems (CMMS). These innovations have improved process efficiency and risk management. However, challenges remain in asset management, maintenance, traceability, and transparency. This study investigates the potential of blockchain technology and non-fungible tokens (NFTs) to address these challenges. By referencing international (ISO, BOMA) and European (EN) standards, the research develops an asset management process model incorporating blockchain and NFTs. The methodology includes evaluating the technical and practical aspects of this model and strategies for metadata utilization. The model ensures an immutable record of transactions and maintenance activities, reducing errors and fraud. Smart contracts automate sub-phases like progress validation and milestone-based payments, increasing operational efficiency. The study’s practical implications are significant, offering advanced solutions for transparent, efficient, and secure Facility Management. It lays the groundwork for future research, emphasizing practical implementations and real-world case studies. Additionally, integrating blockchain with emerging technologies like artificial intelligence and machine learning could further enhance Facility Management processes. Full article

Although structural aluminium alloys have many advantages (low self-weight, corrosion resistance, 100% recyclable), they are associated with some conservative design methods in Eurocode 9. Conservative reductions in aluminium’s mechanical properties in the welded connection zone and the limitations of extruded aluminium members (the relatively small dimensions and uniform shape of the profile over the length) significantly limit the use of aluminium in load-bearing structures. This paper summarises the background, planned activities, and preliminary results of the ongoing REAL-fit project. The aim of the project is to conduct comprehensive interdisciplinary research on the feasibility of applying innovative automated (robotic) welding technologies and reliable design methods for aluminium welded members, joints, and entire structural systems. In this paper, the shortcomings of the current design approach are identified, and experimental, numerical, and reliability-based methodology for possible improvements is proposed. Furthermore, the project considers the integration of the advanced direct design method (DDM) with the methods of life cycle assessment (LCA) and life cycle cost analysis (LCCA) as a possible direction for establishing a more holistic evaluation framework. This is precisely one of the project’s ultimate goals, which will assess the reliability and sustainability of economical aluminium structures throughout their life cycle. Full article

Enhancing the spatial resolution of gypsiferous soil detection, as a valuable baseline information layer, is beneficial for investigating agroecological processes and tackling land degradation in semi-arid environments. This study evaluates the performance of PRISMA (PRecursore IperSpettrale della Missione Applicativa) and EnMAP (Environmental Mapping and Analysis Program) satellites in estimating soil gypsum content and compares models trained on satellite imagery versus lab data. To this end, 242 bare-soil samples were collected from southeast Iran. Gypsum content was measured using acetone precipitation, and spectral reflectance was acquired using the ASD (Analytical Spectral Devices)-Fieldspec 3 spectroradiometer. The gypsum content was retrieved by optical data using three approaches: narrowband indices, spectral absorption features, and machine learning (ML) algorithms. Four machine learning algorithms, including PLSR (Partial Least Squares Regression), RF (Random Forest), SVR (Support Vector Regression), and GPR (Gaussian Process Regression), achieved excellent performance (RPD > 2.5). The results showcased that the difference soil index (DSI) achieved the highest R² scores of 0.96 (ASD), 0.79 (PRISMA), and 0.84 (EnMAP), slightly outperforming the normalized difference gypsum ratio (NDGI) and ratio soil index (RSI). Comparing the shape indices’, the slope parameter (SLP) index outperformed the half-area parameter (HAP) index. PRISMA, with SVR (R² ≥ 0.83), and EnMAP, with PLSR (R² ≥ 0.85), demonstrated that hyperspectral satellites proved reliable in detecting gypsum content, yielding results comparable to ASD with detailed algorithms. Full article

Increasing multidrug resistance in Neisseria gonorrhoeae poses a serious and escalating public health crisis. The World Health Organization has classified N. gonorrhoeae as a high-priority pathogen for developing new antimicrobials. Natural products provide a promising avenue for antimicrobial discovery, serving as direct therapeutic agents or prototypes for novel drug development. Among these, gibbilimbol B, a compound isolated from Piper malacophyllum, is particularly attractive due to its biological potential and simple structure. In this study, eight synthetic phenylalkylamides (1–8) inspired by gibbilimbol B were synthesized and evaluated for their antibacterial activity against N. gonorrhoeae. The in vitro bacterial assays revealed that these compounds exhibit notable antibacterial activity, including against resistant strains selected from the CDC/FDA antimicrobial panel (strains AR-173, AR-174, AR-187, and AR-200). All synthesized compounds demonstrated superior efficacy in killing N. gonorrhoeae compared to gibbilimbol B. Notably, compound 8 [(E)-4-chloro-N-(oct-4-en-1-yl)benzamide] showed an MBC50 of 6.25 µM, representing a four-fold improvement in bactericidal activity over the natural compound. This study represents the first exploration of gibbilimbol analogs for antibacterial applications, highlighting the novelty of the work and paving the way for the development of new antibacterial agents. Full article

Agricultural residues offer promising opportunities for the development of biocomposites. Durian husk, a lignocellulosic by-product abundantly available in Southeast Asia, and bamboo waste, an underutilized biomass resource, present considerable potential for sustainable particleboard production. This study focuses on developing single-layer bio-based particleboards using varying proportions of durian husk and bamboo waste bonded with urea formaldehyde resin. The fabricated boards were evaluated for thickness swelling, modulus of rupture, and internal bond strength according to relevant European standards. Results indicated that all particleboards met the Type P1 requirements for general-purpose use under dry conditions, as specified in BS EN 312:2010. The findings demonstrate the feasibility of converting agricultural waste into value-added, eco-friendly materials, supporting waste valorization, promoting circular economy practices, and contributing to the development of bio-based materials. Full article

Blocked or narrowed arteries restrict blood flow to the lower limbs, commonly leading to peripheral artery disease (PAD). Patients with PAD have been shown to have increased gait variability, which may contribute to higher rates of falls and worsen functional outcomes. Surgical revascularization seeks to restore blood flow to the legs, but it is unknown if this restoration enhances limb function. This study investigated whether gait variability changes in patients with PAD after revascularization surgery. Thirty-three patients with PAD exhibiting claudication symptoms were recruited for the study. Kinematic data were recorded using a motion capture system while the patients walked on a treadmill following a progressive treadmill protocol, both before and after undergoing revascularization surgery. Angular sagittal movements’ linear and nonlinear variability in the lower limbs were measured and compared before and after surgery across the ankle, knee, and hip joints. Following revascularization surgery, knee joint sample entropy (SampEn) decreased, suggesting improved gait regularity. Furthermore, the hip range of motion (ROM) significantly decreased, whereas the knee ROM significantly increased. The ankle joint showed significantly greater changes in the Lyapunov Exponent (LyE) relative to the pre-exercise condition compared with the hip and knee joints. No significant differences existed in the linear variability (standard deviation) of the ROM between joints. In individuals with PAD, revascularization surgery considerably increased knee ROM and gait regularity, indicating improved limb function and motor control. However, the ankle ROM remained unchanged, indicating the need for targeted strengthening exercises post-surgery. Full article

To enhance scene perception and comprehension, infrared and visible image fusion (IVIF) integrates complementary data from two modalities. However, many existing methods fail to explicitly separate modality-specific and modality-shared features, which compromises fusion quality. To surmount this constraint, we introduce a novel hierarchical dual-branch fusion (HDF-Net) network. The network decomposes the source images into low-frequency components, which capture shared structural information, and high-frequency components, which preserve modality-specific details. Remarkably, we propose a pin-wheel-convolutional transformer (PCT) module that integrates local convolutional processing with directional attention to improve low-frequency feature extraction, thereby enabling more robust global–local context modeling. We subsequently introduce a hierarchical feature refinement (HFR) block that adaptively integrates multiscale features using kernel-based attention and dilated convolutions, further improving fusion accuracy. Extensive experiments on four public IVIF datasets (MSRS, TNO, RoadScene, and M3FD) demonstrate the high competitiveness of HDF-Net against 12 state-of-the-art methods. On the RoadScene dataset, HDF-Net achieves top performance across six key metrics—EN, SD, AG, SF, SCD, and SSIM—surpassing the second-best method by 0.67%, 1.85%, 17.67%, 5.26%, 3.33%, and 1.01%, respectively. These findings verify the generalization and efficacy of HDF-Net in practical IVIF scenarios. Full article

With the appearance of Industry 4.0, the need for highly competent professionals in disruptive technologies and emerging intelligent computing is undeniable. In this way, education plays a crucial role in the success of sustainable development initiatives, as it must effectively integrate innovative practices, knowledge assurance, and new technologies. Thus, educational institutions must adjust the contents of their study plans to ensure that their graduates can successfully integrate into this constantly evolving work environment. In this paper, we present a study that identified how students at a computing research center perceived the relevance of the competencies and skills acquired during their studies to face the challenges of Industry 4.0. A survey was designed with 29 questions applied to a sample of 112 students of the Centro de Investigación en Computación, IPN. The results were analyzed statistically, and an inferential analysis concluded that the research hypothesis must be accepted. This study contributes to the global discussion on sustainable educational systems (SDG 4), demonstrating that student perception of their competencies for Industry 4.0 is mediated by integrating ethical and environmental principles in the curricula, a critical factor in Latin American contexts. Full article

A majority of hyperspectral super-resolution methods aim to enhance the spatial resolution of hyperspectral imaging data (HSI) by integrating high-resolution multispectral imaging data (MSI), leveraging rich spectral information for various geospatial applications. Key challenges include spectral distortions from high-frequency spatial data, high computational complexity, and limited training data, particularly for new-generation sensors with unique noise patterns. In this contribution, we propose a novel parallel patch-wise sparse residual learning (P²SR) algorithm for resolution enhancement based on fusion of HSI and MSI. The proposed method uses multi-decomposition techniques (i.e., Independent component analysis, Non-negative matrix factorization, and 3D wavelet transforms) to extract spatial and spectral features to form a sparse dictionary. The spectral and spatial characteristics of the scene encoded in the dictionary enable reconstruction through a first-order optimization algorithm to ensure an efficient sparse representation. The final spatially enhanced HSI is reconstructed by combining the learned features from low-resolution HSI and applying an MSI-regulated guided filter to enhance spatial fidelity while minimizing artifacts. P²SR is deployable on a high-performance computing (HPC) system with parallel processing, ensuring scalability and computational efficiency for large HSI datasets. Extensive evaluations on three diverse study sites demonstrate that P²SR consistently outperforms traditional and state-of-the-art (SOA) methods in both quantitative metrics and qualitative spatial assessments. Specifically, P²SR achieved the best average PSNR (25.2100) and SAM (12.4542) scores, indicating superior spatio-spectral reconstruction contributing to sharper spatial features, reduced mixed pixels, and enhanced geological features. P²SR also achieved the best average ERGAS (8.9295) and Q2n (0.5156), which suggests better overall fidelity across all bands and perceptual accuracy with the least spectral distortions. Importantly, we show that P²SR preserves critical spectral signatures, such as Fe²⁺ absorption, and improves the detection of fine-scale environmental and geological structures. P²SR’s ability to maintain spectral fidelity while enhancing spatial detail makes it a powerful tool for high-precision remote sensing applications, including mineral mapping, land-use analysis, and environmental monitoring. Full article

Drought frequency and severity intensify with climate change, challenging many Mediterranean cities to face securing sustainable water supplies. In this context, groundwater emerges as a key but often overlooked resource, particularly in urban areas historically reliant on external drinking water systems. This study provides a comprehensive hydrogeological characterisation of the groundwater system in Aix-en-Provence (southeastern France), with a specific focus on hypothermal springs and the cold springs of the Vallon des Pinchinats, which historically supplied the town before the creation of the Canal de Provence by the company of the same name (Société du Canal de Provence (SCP)). By combining chemical and isotopic analyses (δ¹⁸O, δ²H, and chloride concentrations) with a statistical clustering (DACMAD method), we characterise the origin and dynamics of distinct water sources and evaluate their influence with surface water and external supply systems. Four key hydrological entities influencing the study area were identified. (1) regional precipitation (RRW) contributing significantly to groundwater recharge in the region. The isotope composition of the RRW was calculated (δ¹⁸O: −6.68‰, δ²H: −41.80‰, Cl: 2.2 mg/L) (2) Groundwater from the Oligocene aquifer (OG) characterised by an enrichment in chloride and sulphate. (3) Groundwater from the Cretaceous–Jurassic aquifer (CJG), a karstified aquifer from the Sainte-Victoire-Concors massif, which supplies the cold and hypothermal springs in Aix-en-Provence and multiple springs in the region. (4) Canal de Provence water (CPW) as an external water source, used for domestic supply, which has left a traceable signal in the local hydrosystem. The study reveals that cold springs of the Vallon des Pinchinats result from the mixing of Oligocene and Cretaceous–Jurassic groundwaters. Hypothermal springs (20–30 °C) circulate at moderate depths (165–500 m), unlike previous models suggesting deeper infiltration and mixing processes. This study contributes a novel hydrogeochemical and isotopic framework applicable to other Mediterranean urban areas facing similar pressures and highlights the strategic role that local groundwater can play in building long-term water resilience. Full article

Purpose: Forme fruste choledochal cyst (FFCC) is a choledochal cyst with minimal or no dilatation of the extrahepatic bile duct (EHBD) and is usually associated with an anomalous pancreaticobiliary junction (APBJ). While sharing similar symptoms, inflammation, and malignant potential with classic biliary cysts, FFCC is often overlooked on ultrasound. This paper aims to present the experience of two tertiary pediatric centers in managing FFCC. Methods: In this retrospective study, the clinical data of pediatric patients treated for FFCC at two tertiary pediatric surgical centers between 1 January 2008 and 31 December 2023 were analyzed. The primary outcome was the clinical success of the surgical procedure, defined by the resolution of symptoms and the absence of major complications. Secondary outcomes included postoperative complications, type and duration of surgical procedures, and length of hospital stay. All patients underwent biliary reconstruction via either Roux-en-Y hepatico-jejunostomy or hepatico-duodenostomy. Clinical outcomes, including postoperative complications and patient follow-up, were evaluated. Results: Fourteen children (9 girls, 5 boys; aged 18 months to 12 years) underwent surgical treatment of FFCC. The mean age at surgery was 5.3 ± 3.8 years, and the mean diameter of the common bile duct was 7.9 ± 1.2 mm. Thirteen patients underwent Roux-en-Y hepatico-jejunostomy, and one underwent hepatico-duodenostomy. Over a mean follow-up period of 6.2 ± 3.6 years, no cholangitis or anastomotic stricture cases were observed. Two patients (14.3%) experienced minor wound infections managed conservatively. Conclusions: FFCC remains a diagnostic challenge due to its subtle imaging findings and non-specific clinical presentation. However, once identified, surgical excision with biliary reconstruction, most commonly via Roux-en-Y hepatico-jejunostomy, is a safe and effective treatment with excellent long-term outcomes. Given the potential for serious complications if left untreated, FFCC should be actively considered in pediatric patients with unexplained pancreatitis or biliary symptoms, even in the absence of overt ductal dilatation. Full article

Despite the increase in studies on Spanish as a heritage language (SHL), few focus on spelling, with research limited to the U.S. According to the adaptive control hypothesis, language production is governed by control processes, which adapt to the demands of real-world interactional contexts. In this article, these control processes are inferred from the interlingual spelling errors observed in Gibraltarian SHL speakers. The hypothesis is that the Gibraltar dense code-switching context will be manifested in a high number of interlingual misspellings in Spanish due to English interference. Misspellings were identified in the written productions of a sample of 80 Gibraltarian pre-college SHL students (N = 40 in Spanish; N = 40 in English), collected via availability tests and stored in the Dispolex dataset by the members of the project “Lenguas en contacto y disponibilidad léxica: la situación lingüística e intercultural de Ceuta y Gibraltar”. Gibraltarians’ Spanish misspellings were then compared with those found in the U.S. The high percentage of spelling errors in SHL students in Gibraltar might be explained in light of lower inhibitory control of interferences in dense code-switching interactional contexts. Full article