Jose Luis

The application of the Multispectral Instrument (MSI) aboard Sentinel-2A/B constellation for assessing water quality in Chilean lakes represents an emerging area of research, particularly for the environmental monitoring of optically complex water bodies. Similarly, atmospheric correction processors applied to aquatic environments, such as the Case 2 Networks (C2RCC-Nets), are notably underrepresented. This study evaluates the capability of C2RCC-Nets using different neural networks—Case-2 Regional/Coast Color (C2RCC), C2X-Extreme (C2X), and C2X-Complex (C2XC)—to estimate Secchi depth in Lake Lanalhue (eutrophic), Lake Villarrica (oligo-mesotrophic), and Lake Panguipulli (oligotrophic). The evaluation used different statistical methods such as Spearman's correlation and normalized error metrics (nRMSE, nMAE, and nbias) to assess the agreement between satellite-derived data and in situ measurements. C2XC demonstrated the best fit for Lake Lanalhue, with an nRMSE = 33.13%, nMAE = 23.51%, and nbias = 8.57%, in relation to the median ground truth values. In Lake Villarrica, the C2XC neural network displayed a moderate correlation (rs = 0.618) and error metrics, with an nRMSE of 24.67% and nMAE of 20.67%, with an nbias of 4.21%. In the oligotrophic Lake Panguipulli, no relationship was observed between estimated and measured values, which could be related to the fact that the selected neural networks were developed for very case 2 waters. These findings highlight the need for methodological advancements in processing satellite-derived water quality products for Chile's optical water types, particularly for very clear waters. Nonetheless, this study underscores the need for model-specific calibration of C2RCC-Nets, as lakes with different optical water types and trophic states may require tailored training ranges for inherent optical properties.

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Digital transformation (DT) directly influences organizational competitiveness, reshaping value creation and necessitating adaptation across industries. This study investigates how DT redefines strategic imperatives and the mechanisms of value creation within organizations, synthesizing findings from five thematic clusters: “Strategic Management in Digital Transformation of Organizations”, “Emerging Trends in Digital Entrepreneurship and Sustainability”, “Digital Capabilities and Business Model Innovation”, “Digitalization and Transformation of SMEs”, and “Value Creation through Innovation and Digital Transformation”. The analysis uncovers crucial insights, including the shift towards business-to-business (B2B) value-oriented sales, the role of big data analytics in collaborative innovation, and the integration of AI-driven business models across retail, logistics, and healthcare. Strategic alignment between technological advances and organizational goals emerges as essential, especially for SMEs facing resources, regulatory compliance, and skills development challenges. Despite these insights, significant gaps remain. Future research should delve into the underexplored area of cross-industry best practices, particularly how SMEs can leverage digital tools to enhance resilience and adaptability in market volatility. Further investigation into the long-term impacts of digital entrepreneurship on sustainability is recommended, including metrics for measuring social and environmental value creation. Additionally, digital leadership roles, such as Chief Digital Officers, warrant more in-depth examinations to identify how these leaders can navigate the complexities of DT and maximize value co-creation. This systematic literature review and bibliometric analysis aim to consolidate current knowledge, address critical gaps, and lay the groundwork for future studies that support resilient and sustainable growth in an increasingly digital economy.

Animal Microbiome , Oct 2024 Mastitis, inflammation of the mammary gland, is a major disease of dairy cattle and the main cause for antimicrobial use.

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A logic gate is typically an electronic device with a Boolean or other type of function, e.g., adding or subtracting, including or excluding according to its logical properties. They can be used in electronic, electrical, mechanical, hydraulic, and pneumatic technology. This paper presents a new method for generating logic gates based on optical systems with an emission frequency equal to that used in current telecommunications systems. It uses an erbium-doped fiber laser in its monostable operating region, in contrast to most results published in the literature, where multistable behavior is required to induce dynamic changes, and where a DC voltage signal in the laser pump current provides the control between obtaining the different logic operations. The proposed methodology facilitates the generation of the gates, since it does not require taking the optical system to critical power levels that could damage the components. It is based on using the same elements that the EDFL requires to operate. The result is a system capable of generating up to five stable and robust logic gates to disturbances validated in numerical simulation and experimental setup. This eliminates the sensitivity to the initial conditions affecting the possible logic gates generated by the system and the need to add noise to the system (as is performed in works based on stochastic logic resonance). The experimental observations confirm the numerical results and open up new aspects of using chaotic systems to generate optical logic gates without bistable states.

Department of Analytical Chemistry, Faculty of Sciences, University of Cadiz, Agrifood Campus of International Excellence (ceiA3), IVAGRO, 11510 Puerto Real, Spain

This study investigates the steady, two-dimensional boundary layer flow of a Casson fluid over an inclined nonlinear stretching surface embedded within a Forchheimer porous medium. The governing partial differential equations are transformed into a set of ordinary differential equations through similarity transformations. The analysis incorporates the effects of an external uniform magnetic field, gravitational forces, thermal radiation modeled by the Rosseland approximation, and first-order homogeneous chemical reactions. We consider several dimensionless parameters, including the Casson fluid parameter, magnetic parameter, Darcy and Forchheimer numbers, Prandtl and Schmidt numbers, and the Eckert number to characterize the flow, heat, and mass transfer phenomena. Analytical solutions for the velocity, temperature, and concentration profiles are derived under simplifying assumptions, and expressions for critical physical quantities such as the skin friction coefficient, Nusselt number, and Sherwood number are obtained.

The pursuit of nutraceuticals to improve the quality of life for patients with neurodegenerative conditions is a dynamic field within neuropharmacology. Unfortunately, many nutraceuticals that show promise in preclinical studies fail to demonstrate significant clinical benefits in human trials, leading to their exclusion as therapeutic options. This discrepancy may stem from the categorical interpretation of preclinical and clinical results. Basic researchers often assume that non-human experimental animals exhibit less phenotypic variability than humans. This belief overlooks interindividual phenotype variation, thereby leading to categorical conclusions being drawn from experiments. Consequently, when human clinical trials are conducted, the researchers expect similarly conclusive results. If these results are not achieved, the nutraceutical is deemed ineffective for clinical use, even if numerous individuals might benefit. In our study, we evaluated whether analyzing phenotype variability and similarity through non-categorical methods could help identify rotenone (ROT)-treated rats that might benefit from consuming nano-emulsified punicic acid (Nano-PSO), even if the prevention of “parkinsonism” or the restoration of neurometabolic function is inconsistent across individuals. Our findings supported this hypothesis. The benefits of Nano-PSO were not categorical; however, analyzing phenotype variance allowed us to identify ROT rats with varying degrees of benefit from Nano-PSO consumption. Hence, the translational potential of results from basic science studies testing nutraceuticals as pharmaceutical products against neurodegeneration may improve if researchers also interpret their results using non-categorical methods of data analysis for population screening, even if the overall therapeutic outcomes for the entire population show internal inconsistencies.

Background/Objectives: Chronic pain impacts approximately 18% of the Spanish population, with low levels of vitamin D prevalent in over 80% of individuals over 65. Given vitamin D's critical role in pain modulation, its deficiency may be significantly linked to chronic musculoskeletal pain, though existing research offers mixed results. Methods: This systematic review followed PRISMA guidelines, examining studies from PubMed, Cochrane, and PEDRO databases from 1990 onwards that investigated the relationship between vitamin D levels and chronic musculoskeletal pain. Results: A total of 30 studies met the inclusion criteria set by the NHLBI's quality standards. The results are inconclusive regarding the direct relationship between vitamin D levels and chronic musculoskeletal pain due to evidence heterogeneity. However, there appears to be an inverse relationship between vitamin D levels and the intensity of pain. Conclusions: While the association between vitamin D levels and chronic musculoskeletal pain remains uncertain, the inverse correlation with pain intensity suggests a potential therapeutic role of vitamin D supplementation in pain management. Further research is needed to substantiate these findings and refine intervention strategies.