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The article presents the development of a photoacoustic system to determine optical absorption coefficients in medical therapies and diagnostics. The system uses a closed cell where the absorption of modulated optical radiation occurs, generating a periodic heating of the sample. Laser diodes of different wavelengths are used, and an optical system has been developed to direct the beam of light towards the sample. A PID control was implemented to regulate the temperature of the lasers, and an interface was developed in LabView 2016 to control the system and store the data. Preliminary measurements were made using plastic cylinders, and improvements in the hardware and software of the system are planned. [Extracted from the article]

The article presents a study on the determination of the optical parameters of the skin using spatially resolved diffuse reflectance measurements (RDRE). The importance of classifying skin phototypes in dermatology is highlighted, and the need for an objective characterization of these phototypes is mentioned. Additionally, it is mentioned that the optical properties of tissues change depending on their condition, and that knowing these parameters can be useful for diagnosing skin diseases. The article proposes a physical model to obtain the optical parameters of the tissue from RDRE measurements, and describes a measurement system developed to apply this model to real measurements. Experiments were also conducted on subjects with different skin phototypes and on an individual with vitiligo, showing significant differences in the values of the optical parameters among them. [Extracted from the article]

The article presents the development of a system for the generation and detection of optical pulses in the nanosecond range. The system consists of two modules: an excitation module and a detection module. The objective of the system is to perform time-resolved fluorescence measurements. The system uses a photodetector to transform the fluorescence signal into an electrical signal, a signal conditioning circuit, and a digitizing system. The system meets the necessary requirements for time-resolved measurements applications, such as fluorescence measurements. [Extracted from the article]

The cell cycle is predominantly controlled by Cyclins/Cyclin-Dependent Kinases (Cyc/CDK) complexes, which phosphorylate targets involved in cellular proliferation. Evidence suggests that Cyc/CDK targets extend beyond traditional proteins and include enzymes that regulate the central carbon metabolism. Maize embryo axes rapidly internalize and metabolize glucose. After 24 h of imbibition in glucose-rich media, axes exhibited increased length and weight, with more pronounced effects at 72 h. This morphology enhancement was impaired when RO-3306, a specific CDK inhibitor, was added. The protein profile of maize embryo extracts at 18 and 24 h indicated altered phosphorylation patterns following CDK activity inhibition. Metabolomic analysis at 24 h of imbibition revealed that maize embryos without sugar in the media, with or without RO-3306, had a decreased sugar and amino acid content. Conversely, axes exposed to glucose demonstrated increased conversion into various mono and di-saccharides such as fructose, mannitol, galactose, and maltose but not sucrose. This pattern was reversed upon the addition of RO-3306. Glucose promoted the accumulation of amino acids such as cysteine, valine, leucine, and intermediates of the tricarboxylic acid (TCA) cycle, such as malate and citrate. The CDK inhibitor redirected the glucose metabolism toward increased serine levels, followed by other amino acids like phenylalanine, valine, and leucine. Additionally, TCA cycle intermediates and sterols significantly decreased. Overall, these results contribute to understanding the role of CDK in maize morphogenesis during germination and underscore its impact on modulating various central carbon pathways, including glycolysis, amino acid catabolism/anabolism, TCA cycle, and sterols biosynthesis., (© 2025 The Author(s). Physiologia Plantarum published by John Wiley & Sons Ltd on behalf of Scandinavian Plant Physiology Society.)

Background: U.S. policy intervention to increase methadone treatment accommodations during COVID did not result in national adoption of the new patient-centered treatment practices. Staff-level interventions may facilitate adoption of these treatment practices, but this will depend upon knowledge about staff level characteristics and beliefs. Currently, the role of clinic staff characteristics, beliefs about patient-centeredness, and perceptions about the need for treatment practice change is unknown. This study explored the relationship between opioid treatment program staff characteristics, work roles and staff beliefs to identify opportunities for future staff-level treatment practice change interventions., Methods: Staff of three Arizona opioid treatment programs were surveyed (n = 40) from April 11-22, 2023 using a hybrid online survey method. The 161 survey items required less than 30 min to complete. Pearson point biserial correlation coefficients assessed the covariation between staff beliefs, staff characteristics and staff work roles. Perception of the clinic as person-centered was a potential proxy indicator for staff awareness of discontinuity between the clinic's person-centeredness and person-centered approaches to methadone treatment., Results: Among staff, 47.5% reported lived substance use disorder experience and 27.5% reported lived opioid use disorder experience. Most staff (70%) held at least 1 prior clinic role at the current clinic and 5% had had more than 4 prior roles. Rotation was observed with roles that did not require licensure or degrees. Staff with lived experience with substance use disorder or opioid use disorder treatment reported having more prior roles at the clinic than those without such experience. Abstinence-oriented views were significantly associated with reporting vicarious (work related) trauma symptoms. Those who rated the clinic as significantly more person-centered were staff with lived substance use disorder experience who also held abstinence-oriented views, staff with trauma exposure, and staff with lived opioid use disorder treatment experience who held harm reduction beliefs. In contrast, staff without substance use disorder experience who held harm reduction beliefs perceived the clinic as less person-centered., Conclusions: Staff beliefs, personal and work characteristics are likely factors in the recognition of need for clinic practice change. How these characteristics function in a clinic culture may also be influenced by clinic staffing patterns. A patient-to-provider pipeline with role cycling was observed and this staffing pattern may also influence shared beliefs of trauma-informed care or clinic person-centeredness. Vicarious trauma may also be an important factor. Larger studies should examine these relationships further to understand mechanisms associated with recognition of need for clinic practice change in order to inform staff-level interventions to increase opioid treatment program patient-centeredness., Competing Interests: Declarations. Ethics approval and consent to participate: Ethics approval was provided by the University of Arizona Institutional Review Board (STUDY00002531). The participant consent process involved prospective participants voluntarily accessing the online landing page for the study, reviewing the study information and providing assent (online agreement) to proceed with the survey. If ‘agree’ was selected by the participant, they would be led to the anonymous survey instrument for completion. If ‘disagree’ was selected, they were led to a ‘thank you for considering the study’ message. Consent for publication: All authors provide publication consent for this manuscript. Competing interests: Meyerson, Linde-Krieger, Carter, Huff, Brady, Crosby, and De La Rosa have nothing to declare. Allison, Barakat, Ergurrola, Pava and Schaefer are employees of the opioid treatment program company from which the staff sample was drawn., (© 2024. The Author(s).)

Lignin is an abundant and recalcitrant biopolymer of major relevance as soil organic matter (SOM) component playing a significant role in its stabilization. In this work, a factorial field experiment was established, where three climatic treatments (W, warming; D, drought; W + D, warming + drought), mimicking future climate change scenarios were installed over five years in a Mediterranean savannah "dehesa", accounting for its landscape diversity (under the tree canopy and in open grassland). A combination of analytical pyrolysis (Py-GC/MS) and the study of biogeochemical proxies based on lignin monomers is used for the direct detection of lignin-derived phenols and to infer possible shifts in lignin dynamics in soil. A total of 27 main lignin-derived methoxyphenols were identified, exhibiting different patterns and proportions, mainly driven by the effect of habitat, hence biomass inputs to SOM. An accelerated decomposition of lignin moieties -(exhibited by higher LG/LS and Al/K + Ac ratios)- is particularly exacerbated by the effect of all climatic treatments. There is also an overall effect on increasing lignin oxidation of side chain in syringyl units, especially under the tree canopy due to the alteration in biomass degradation and potential stimulation of enzyme activities. Conversely, in open grassland these effects are slower since the microbial community is expected to be already adapted to harsher conditions. Our findings suggests that climate change-related temperature and soil moisture deviations impact soil lignin decomposition in dehesas threatening this productive Mediterranean agroecosystem and affecting the mechanism of soil carbon storage., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest for this research: no known competing financial interests or personal relationships had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Competing Interests: None disclosed.

Macrophages regulate essential aspects of innate immunity against pathogens. In response to microbial components, macrophages activate primary and secondary inflammatory gene programs crucial for host defense. The liver X receptors (LXRα, LXRβ) are ligand-dependent nuclear receptors that direct gene expression important for cholesterol metabolism and inflammation, but little is known about the individual roles of LXRα and LXRβ in antimicrobial responses. Here, the results demonstrate that induction of LXRα transcription by prolonged exposure to lipopolysaccharide (LPS) supports inflammatory gene expression in macrophages. LXRα transcription is induced by NF-κB and type-I interferon downstream of TLR4 activation. Moreover, LPS triggers a reprogramming of the LXRα cistrome that promotes cytokine and chemokine gene expression through direct LXRα binding to DNA consensus sequences within cis-regulatory regions including enhancers. LXRα-deficient macrophages present fewer binding of p65 NF-κB and reduced histone H3K27 acetylation at enhancers of secondary inflammatory response genes. Mice lacking LXRα in the hematopoietic compartment show impaired responses to bacterial endotoxin in peritonitis models, exhibiting reduced neutrophil infiltration and decreased expansion and inflammatory activation of recruited F4/80 lo -MHC-II hi peritoneal macrophages. Together, these results uncover a previously unrecognized function for LXRα-dependent transcriptional cis-activation of secondary inflammatory gene expression in macrophages and the host response to microbial ligands., (© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.)

Indoor air quality is crucial for human health due to the significant time people spend at home, and it is mainly affected by internal sources such as solid fuel combustion for heating. This study investigated the indoor air quality and health implications associated with residential coal burning covering gaseous pollutants (CO, CO 2 and total volatile organic compounds), particulate matter, and toxicity. The PM 10 chemical composition was obtained by ICP-MS/OES (elements), ion chromatography (water-soluble ions) and thermal-optical analysis (organic and elemental carbon). During coal combustion, PM 10 levels were higher (up to 8.8 times) than background levels and the indoor-to-outdoor ratios were, on average, greater than unity, confirming the existence of a significant indoor source. The chemical characterisation of PM 10 revealed increased concentrations of organic carbon and elemental carbon during coal combustion as well as arsenic, cadmium and lead. Carcinogenic risks associated with exposure to arsenic exceeded safety thresholds. Indoor air quality fluctuated during the study, with varying toxicity levels assessed using the Aliivibrio fischeri bioluminescence inhibition assay. These findings underscore the importance of mitigating indoor air pollution associated with coal burning and highlight the potential health risks from long-term exposure. Effective interventions are needed to improve indoor air quality and reduce health risks in coal-burning households., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Intermediate magma compositions have been postulated to be parental to Andean-type magmatism in the recent years. Geochemical and experimental methods have allowed the modelling of a hypothetical parental composition that accounts for the major element trends displayed by Andean-type batholiths. However, natural plutonic examples matching the modelled composition remain lacking, likely due to the predominance of fractionated liquids and cumulates in the batholiths after protracted and large-scale differentiation. Contrary to this, magma mingling zones, a common feature in Andean-type batholiths, are characterised by quenching phenomena, minimising differentiation. In this paper, we present data from intermediate magmatism in the world-class Gerena magma mingling zone in the Seville Sierra Norte batholith (southern Iberia), compositionally equivalent to Andean-type magmatic series. Geochemical data from quenched dark globules of variable scale and the corresponding host granodiorites are contrasted with the bimodal trends displayed by the host batholith. Results suggest that the smaller-scale dark globules have not undergone any significant fractionation. Furthermore, after conducting geochemical modelling we conclude the dark globules represent a composition that could be parental to Andean-type magmas. We propose that magma mingling zones are an optimal place to probe for parental magmas of Andean-type magmatism, particularly those represented in pristine melanocratic, intermediate globules., (© 2024. The Author(s).)

This paper revisits the problem of optimal (minimum variance) control for adaptive optics (AO) systems when measurement and command applications are asynchronous, resulting in a non-integer servo loop delay. When not properly accounted for, such fractional delays may severely degrade the AO performance, especially in the presence of high-frequency vibrations. We present evidence of this performance degradation thanks to in-lab experimental measurements on the Gran Telescopio Canarias Adaptive Optics (GTCAO) system controlled with standard suboptimal linear quadratic Gaussian (LQG) controllers. A constructive, easy to implement LQG control design is then proposed and validated in a simulation for vibrations affecting the tip-tilt modes. Our methodology is very interesting because it allows a performance assessment for any linear controller in terms of variance, rejection transfer functions, power spectral densities, and stability margins. We also show how the continuous-time disturbance model can be derived from standard discrete-time disturbance data-based modeling.

Aim: The objective of this study is to evaluate effects of SARS-CoV-2 vaccination on seizure pattern in paediatric patients with epilepsy that attended our tertiary center in the city of Bogota, Colombia., Patients and Methods: Children with epilepsy who were treated at our center and have had SARS-CoV-2 vaccination and their caregivers were asked to report their experience following vaccination. We documented age, sex, age at onset of epilepsy, duration of epilepsy, epilepsy type, seizure frequency, number of medications, time from last crisis, vaccination schemes, and seizures two weeks after vaccination., Results: One hundred and one patients with epilepsy were included (58%, male; and 42%, female). The average age was 11 years, 73% had focal epilepsy, and 27%, generalized. Twenty-one fulfilled criteria for refractory epilepsy and 11 had a personal history of febrile seizures. Forty-seven patients had been vaccinated with Sinovac's vaccine; 41 patients, with Pfizer's; 12 patients, with Moderna's; and one, with CoronaVac's. Three patients presented seizures 24 hours after the application of the vaccine with no clear relation between vaccination and seizure frequency, and one patient required admission to the hospital for a prolonged seizure., Conclusion: Vaccination against SARS-CoV-2 in paediatric patients with epilepsy is safe. Approximately 3% of patients with epilepsy could eventually have seizures in the post-vaccination period.

Plastic pollution constitutes an environmental problem in the Canary Islands nowadays. Nevertheless, studies evaluating the impact of plastics on its avifauna are still scarce. Gastrointestinal tracts of 88 birds belonging to 14 species were studied for the presence of plastics. Moreover, their livers were analyzed for the determination of bromodiphenyl ethers (BDEs), polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs). Among Cory's shearwaters (n = 45), the frequency of occurrence of plastic ingestion was considerably high (88.89 %). This species had the highest mean value of items (7.22 ± 5.66) and most of them were compatible with lines derived from fishing gear. PCBs and PAHs were detected in all of the samples and OCPs in the great majority of them (98.86 %). Our results highlight the problems that plastic debris (mainly for seabirds) and organic pollutants pose to these species., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Trace element concentrations within PM10, gaseous pollutants (NO 2 and SO 2 ), and PM10 levels were studied during the Covid-19 lockdown at a regional level in Southern Spain (Andalusia). Pollutant concentrations were compared considering different mobility periods (pre-lockdown, lockdown, and relaxation) in 2020 and previous years (2013-2016). An acute decrease in NO 2 levels (<50%) was observed as a consequence of traffic diminution during the confinement period. Moreover, a lower reduction in PM10 levels and a non-clear pattern for SO 2 levels were observed. During the lockdown period, PM10 elements released from traffic emissions (Sn and Sb) showed the highest concentration diminution in the study area. Regarding the primary industrial sites, there were no significant differences in V, Ni, La, and Cr concentration reduction during 2020 associated with industrial activity (stainless steel and oil refinery) in Algeciras Bay. Similarly, concentrations of Zn showed the same behaviour at Cordoba, indicating that the Zn-smelter activity was not affected by the lockdown. Nevertheless, stronger reductions of Cu, Zn, and As in Huelva during the confinement period indicated a decrease in the nearby Cu-smelter emissions. Brick factories in Bailen were also influenced by the confinement measures, as corroborated by the marked decrease in concentrations of Ni, V, Cu, and Zn during the lockdown compared to that from previous years. This work has shown the baseline concentrations of trace elements of PM10, which is of great value to air quality managers in order to minimise pollution levels by applying the confinement of the population, affecting both traffic and industrial anthropogenic activities., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

We have demonstrated for the first time a comprehensive evolutionary analysis of the Mexican lineage H5N2 avian influenza virus (AIV) using complete genome sequences ( n = 189), from its first isolation in 1993 until 2019. Our study showed that the Mexican lineage H5N2 AIV originated from the North American wild bird gene pool viruses around 1990 and is currently circulating in poultry populations of Mexico, the Dominican Republic, and Taiwan. Since the implementation of vaccination in 1995, the highly pathogenic AIV (HPAIV) H5N2 virus was eradicated from Mexican poultry in mid-1995. However, the low pathogenic AIV (LPAIV) H5N2 virus has continued to circulate in domestic poultry populations in Mexico, eventually evolving into five distinct clades. In the current study, we demonstrate that the evolution of Mexican lineage H5N2 AIVs involves gene reassortments and mutations gained over time. The current circulating Mexican lineage H5N2 AIVs are classified as LPAIV based on the amino acid sequences of the hemagglutinin (HA) protein cleavage site motif as well as the results of the intravenous pathogenicity index (IVPI). The immune pressure from vaccinations most likely has played a significant role in the positive selection of antigenic drift mutants within the Mexican H5N2 AIVs. Most of the identified substitutions in these viruses are located on the critical antigenic residues of the HA protein and as a result, might have contributed to vaccine failures. This study highlights and stresses the need for vaccine updates while emphasizing the importance of continued molecular monitoring of the HA protein for its antigenic changes compared to the vaccines used.

The rise in artificial intelligence and natural language processing techniques has increased considerably in the last few decades. Historically, the focus has been primarily on texts expressed in prose form, leaving mostly aside figurative or poetic expressions of language due to their rich semantics and syntactic complexity. The creation and analysis of poetry have been commonly carried out by hand, with a few computer-assisted approaches. In the Spanish context, the promise of machine learning is starting to pan out in specific tasks such as metrical annotation and syllabification. However, there is a task that remains unexplored and underdeveloped: stanza classification. This classification of the inner structures of verses in which a poem is built upon is an especially relevant task for poetry studies since it complements the structural information of a poem. In this work, we analyzed different computational approaches to stanza classification in the Spanish poetic tradition. These approaches show that this task continues to be hard for computers systems, both based on classical machine learning approaches as well as statistical language models and cannot compete with traditional computational paradigms based on the knowledge of experts., (© 2021 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals LLC on behalf of Association for Information Science and Technology.)