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Innovation is currently driving enhanced performance and productivity across various fields through process automation. However, identifying intricate details in images can often pose challenges due to morphological variations or specific conditions. Here, artificial intelligence (AI) plays a crucial role by simplifying the segmentation of images. This is achieved by training algorithms to detect specific pixels, thereby recognizing details within images. In this study, an algorithm incorporating modules based on Efficient Sub-Pixel Convolutional Neural Network for image super-resolution, U-Net based Neural baseline for image segmentation, and image binarization for masking was developed. The combination of these modules aimed to identify capillary structures at pixel level. The method was applied on different datasets containing images of eye fundus, citrus leaves, printed circuit boards to test how well it could segment the capillary structures. Notably, the trained model exhibited versatility in recognizing capillary structures across various image types. When tested with the Set 5 and Set 14 datasets, a PSNR of 37.92 and SSIM of 0.9219 was achieved, surpassing significantly other image superresolution methods. The enhancement module processes the image using three different varaiables in the same way, which imposes a complexity of O(n) and takes 308,734 ms to execute; the segmentation module evaluates each pixel against its neighbors to correctly segment regions of interes, generating an quadratic complexity and taking 687,509 ms to execute; the masking module makes several runs through the whole image and in several occasions it calls processes of complexity at 581686 microseconds to execute, which makes it not only the most complex but also the most exhaustive part of the program. This versatility, rooted in its pixel-level operation, enables the algorithm to identify initially unnoticed details, enhancing its applicability across diverse image datasets. This innovation holds significant potential for precisely studying certain structures' characteristics while enhancing and processing images with high fidelity through AI-driven machine learning algorithms. [ABSTRACT FROM AUTHOR]

Iron Dextran is a widely used iron oxide compound to treat iron‐deficiency anemia patients in the clinic. Similar to other iron oxide compounds such as Ferumoxytol, it can also be used off‐label as an intravascular magnetic resonance imaging (MRI) contrast agent due to its strong iron‐induced T2 and T2* shortening effects. In this study, we seek to evaluate the feasibility of using Iron Dextran enhanced multi‐echo susceptibility weighted imaging (SWI) MRI at 7T to image arterial and venous blood vessels in the human brain. Phantom experiments were performed to measure the r2* relaxivity for Iron Dextran in blood, based on which the SWI sequence was optimized. Pre‐ and post‐infusion MR images were acquired in human subjects from which maps of arteries and veins were extracted. The post‐contrast SWI images showed enhanced susceptibility difference between blood and the surrounding tissue in both arteries and veins. Our results showed that the proposed Iron Dextran enhanced multi‐echo SWI approach allowed the visualization of blood vessels with diameters down to ~100 μm, including small blood vessels supplying and draining small brain structures such as the hippocampus. We conclude that Iron Dextran can be an alternative iron‐based MRI contrast agent for blood vessel imaging in the human brain. [ABSTRACT FROM AUTHOR]

This paper proposes a novel approach that combines dynamic linear models applied to graph data and variable selection through spike-and-slab priors. The new class of models, called Dynamic Graphical Variable Selection, is used to infer effective connectivity in certain brain regions allowing both connectivity weights and graphical structure to vary over time. One advantage of our method is that as the graphical structure is estimated inferentially, the computational cost is reduced. That way our methodology can accommodate high-dimensional data, such as large networks observed through long periods of time. We illustrate our methodology via numerical experiments with simulated and synthetic data, and then applied to fNIRS real data. The obtained results showed that the static version of our model is competitive against previous methodologies and demands a lower computational cost. Our model is more flexible than the previous methodologies by allowing the graphical structure to vary over time. [ABSTRACT FROM AUTHOR]

Dynamic non-covalent interactions between polycarbonate soft segments have been proposed for explaining the intrinsic self-healing of polyurethanes synthesized with polycarbonate polyols (PUs) at 20 °C. However, these self-healing PUs showed insufficient mechanical properties, and their adhesion properties have not been explored yet. Different PUs with self-healing at 20 °C, acceptable mechanical properties, and high shear strengths (similar to the highest ones reported in the literature) were synthesized by using blends of polycarbonate polyols of molecular weights 1000 and 2000 Da (CD1000 + CD2000). Their structural, thermal, rheological, mechanical, and adhesion (single lap-shear tests) properties were assessed. PUs with higher CD1000 polyol contents exhibited shorter self-healing times and dominant viscous properties due to the higher amount of free carbonate groups, significant carbonate–carbonate interactions, and low micro-phase separation. As the CD2000 polyol content in the PUs increased, slower kinetics and longer self-healing times and higher mechanical and adhesion properties were obtained due to a dominant rheological elastic behavior, soft segments with higher crystallinities, and greater micro-phase separation. All PUs synthesized with CD1000 + CD2000 blends exhibited a mixed phase due to interactions between polycarbonate soft segments of different lengths which favored the self-healing and mobility of the polymer chains, resulting in increased mechanical properties. [ABSTRACT FROM AUTHOR]

Developing machine learning (ML) methods for healthcare predictive modeling requires absolute explainability and transparency to build trust and accountability. Graphical models (GM) are key tools for this but face challenges like small sample sizes, mixed variables, and latent confounders. This paper presents a novel learning framework addressing these challenges by integrating latent variables using fast causal inference (FCI), accommodating mixed variables with predictive permutation conditional independence tests (PPCIT), and employing a systematic graphical embedding approach leveraging expert knowledge. This method ensures a transparent model structure and an explainable feature selection and modeling approach, achieving competitive prediction performance. For real-world validation, data of hospital-acquired pressure injuries (HAPI) among individuals with spinal cord injury (SCI) were used, where the approach achieved a balanced accuracy of 0.941 and an AUC of 0.983, outperforming most benchmarks. The PPCIT method also demonstrated superior accuracy and scalability over other benchmarks in causal discovery validation on synthetic datasets that closely resemble our real dataset. This holistic framework effectively addresses the challenges of mixed variables and explainable predictive modeling for disease onset, which is crucial for enabling transparency and interpretability in ML-based healthcare. [ABSTRACT FROM AUTHOR]

Background: Dissecting the neurobiology of dance would shed light on a complex, yet ubiquitous, form of human communication. In this experiment, we sought to study, via mobile electroencephalography (EEG), the brain activity of five experienced dancers while dancing butoh, a postmodern dance that originated in Japan. Results: We report the experimental design, methods, and practical execution of a highly interdisciplinary project that required the collaboration of dancers, engineers, neuroscientists, musicians, and multimedia artists, among others. We explain in detail how we technically validated all our EEG procedures (e.g., via impedance value monitoring) and minimized potential artifacts in our recordings (e.g., via electrooculography and inertial measurement units). We also describe the engineering details and hardware that enabled us to achieve synchronization between signals recorded at different sampling frequencies, along with a signal preprocessing and denoising pipeline that we used for data re-sampling and power line noise removal. As our experiment culminated in a live performance, where we generated a real-time visualization of the dancers' interbrain synchrony on a screen via an artistic brain-computer interface, we outline all the methodology (e.g., filtering, time-windows, equation) we used for online bispectrum estimations. Additionally, we provide access to all the raw EEG data and codes we used in our recordings. We, lastly, discuss how we envision that the data could be used to address several hypotheses, such as that of interbrain synchrony or the motor theory of vocal learning. Conclusions: Being, to our knowledge, the first study to report synchronous and simultaneous recording from five dancers, we expect that our findings will inform future art-science collaborations, as well as dance-movement therapies. [ABSTRACT FROM AUTHOR]

Environmental conditions have a significant influence on the physiological processes that regulate the reproduction of fish. However, there is less information on this subject for chondrichthyans, and particularly for males. This study describes the spermatogenic cycle of the narrownose smooth hound shark Mustelus schmitti related to sex steroid plasma levels and the potential influences of photoperiod and temperature as reproductive cues. A total of 70 males were caught bi-monthly for over a year in the coastal waters of Argentina. Testicular samples were taken for histological characterization and blood samples were taken for the measurement of testosterone (T) and progesterone (P4) plasma levels from each male. Bottom temperature was recorded at each sampling point and the daily photoperiod was estimated from Julian Day Calendar. Histological assessment revealed that the complete cycle of spermatogenesis in M. schmitti lasts just over a year, with the onset of the new spermatogenic cycle (spermatocyte formation) overlapping with the end (spermiation and filling of the seminiferous ducts) of the previous cycle. This particular phase was associated with the peak in T plasma levels, which was found to be significantly explained by the increase in photoperiod in spring. The rise in temperature above 15–16 °C at the end of spring was significantly associated with a reduction in T plasma levels. Additionally, an elevation in P4 plasma levels was observed after the photoperiod increase phase. Males would be ready to mate from mid-spring, following female parturition and just before ovulation/pregnancy. [ABSTRACT FROM AUTHOR]

In behavioral and social research, questionnaires are an important assessment tool, through which individuals can be categorized according to how they classify themselves in respect to a personal trait. One example is the Major Depression Inventory (MDI), which is widely used for the assessment of depression. It can also be used as a depression severity scale, with scores ranging from 0 to 50 constructed considering the same weight for each item in the MDI. However, the dependence among the items of the questionnaire suggests that a score with better properties could be obtained through factor models, which besides allowing to reduce the dimensionality of multivariate data, provides the estimation of common factors and factor loadings that often have an interesting theoretical interpretation. Additionally, auxiliary information could be available and, the effect of these variables in the latent factor could be estimated and provide interesting results. Thus, the main aim of this paper is to propose a factor model for ordered categorical data which incorporates auxiliary variables to explain the latent factors. The proposed model provides an alternative score to MDI based on the estimated latent factors that takes the uncertainty in the data and auxiliary information into account. [ABSTRACT FROM AUTHOR]

Children of any age are at high risk for ocular chemical injuries and the development of limbal stem cell deficiency with severe visual consequences. Surgical options for ocular surface reconstruction at the pediatric age tend to have lower success rates than their adult counterparts. Herein, we report the results of a novel modification of the simple limbal stem cell epithelial transplantation using a doughnut-shaped amniotic membrane graft to avoid further visual axis obstruction during re-epithelization. Since younger children are a highly susceptible population suffering from chemical burns, with nearly half of them being at preschool (first months of life to 5 years) ages, such a technique may be more appropriate to reduce the time of visual obstruction and obtain faster visual rehabilitation. [ABSTRACT FROM AUTHOR]

The KATITA-25 (Kidney AlloTransplant Immunosuppressive Therapy Adherence) Questionnaire is a multidimensional self-administered scale developed in Brazilian Portuguese that measures the predisposition for non-adherence to immunosuppressive medication in candidate patients for kidney transplantation, in the pre-transplant setting. The aim of this study was the cross-cultural validation of the Spanish version of the KATITA-25 scale. The translation/back-translation method was used, followed by cognitive interviews and a pre-test. The Spanish version of KATITA-25 was administered to 163 candidate patients for kidney transplantation from 2 kidney transplant centres and 2 dialysis centres in Catalonia, Spain. The scale was re-administered to the first 79 patients included into the study, after a 2 to 4 weeks interval. Internal consistency was assessed using Cronbach's alpha, test–retest reliability with the intraclass correlation coefficient (ICC); construct validity with goodness of fit indices after confirmatory factor analysis using structural equation modelling. The Cronbach's alpha of the Spanish version was 0.83, the ICC was 0.86. Confirmatory factor analysis showed adequate fit of the structural model. Overall, the analytical results closely resembled those obtained in the validation of the original scale. In conclusion, this cross-cultural validation study showed adequate reliability and construct validity of the Spanish version of the KATITA-25 questionnaire. [ABSTRACT FROM AUTHOR]

The KATITA-25 (Kidney AlloTransplant Immunosuppressive Therapy Adherence) Questionnaire is a multidimensional self-administered scale developed in Brazilian Portuguese that measures the predisposition for non-adherence to immunosuppressive medication in candidate patients for kidney transplantation, in the pre-transplant setting. The aim of this study was the cross-cultural validation of the Spanish version of the KATITA-25 scale. The translation/back-translation method was used, followed by cognitive interviews and a pre-test. The Spanish version of KATITA-25 was administered to 163 candidate patients for kidney transplantation from 2 kidney transplant centres and 2 dialysis centres in Catalonia, Spain. The scale was re-administered to the first 79 patients included into the study, after a 2 to 4 weeks interval. Internal consistency was assessed using Cronbach's alpha, test–retest reliability with the intraclass correlation coefficient (ICC); construct validity with goodness of fit indices after confirmatory factor analysis using structural equation modelling. The Cronbach's alpha of the Spanish version was 0.83, the ICC was 0.86. Confirmatory factor analysis showed adequate fit of the structural model. Overall, the analytical results closely resembled those obtained in the validation of the original scale. In conclusion, this cross-cultural validation study showed adequate reliability and construct validity of the Spanish version of the KATITA-25 questionnaire. [ABSTRACT FROM AUTHOR]

Polyurethanes (PUs) synthesized with blends of polycarbonate and polyester polyols (CD+PEs) showed intrinsic self-healing at 20 °C. The decrease in the polycarbonate soft segments content increased the self-healing time and reduced the kinetics of self-healing of the PUs. The percentage of C-O species decreased and the ones of C-N and C=O species increased by increasing the polyester soft segments in the PUs, due to higher micro-phase separation. All PUs synthetized with CD+PE blends exhibited free carbonate species and interactions between the polycarbonate and polyester soft segments to a somewhat similar extent in all PUs. By increasing the polyester soft segments content, the storage moduli of the PUs decreased and the tan delta values increased, which resulted in favored polycarbonate soft segments interactions, and this was related to slower kinetics of self-healing at 20 °C. Although the PU made with a mixture of 20 wt.% CD and 80 wt.% PE showed cold crystallization and important crystallinity of the soft segments, as well as high storage moduli, the intercalation of a small amount of polycarbonate soft segments disturbed the interactions between the polyester soft segments, so it exhibited self-healing at 20 °C. The self-healing of the PUs was attributed to the physical interactions between polycarbonate soft segments themselves and with polyester soft segments, and, to a minor extent, to the mobility of the polymeric chains. Finally, the PUs made with 40 wt.% or more polyester polyol showed acceptable mechanical properties. [ABSTRACT FROM AUTHOR]

Medical imaging is both valuable and essential in the care of patients. Much of this imaging depends on ionizing radiation with attendant responsibilities for judicious use when performing an examination. This responsibility applies in settings of both individual as well as multiple (recurrent) imaging with associated repeated radiation exposures. In addressing the roles and responsibilities of the medical communities in the paradigm of recurrent imaging, both the International Atomic Energy Agency (IAEA) and the American Association of Physicists in Medicine (AAPM) have issued position statements, each affirmed by other organizations. The apparent difference in focus and approach has resulted in a lack of clarity and continued debate. Aiming towards a coherent approach in dealing with radiation exposure in recurrent imaging, the IAEA convened a panel of experts, the purpose of which was to identify common ground and reconcile divergent perspectives. The effort has led to clarifying recommendations for radiation exposure aspects of recurrent imaging, including the relevance of patient agency and the provider-patient covenant in clinical decision-making. Clinical relevance statement: An increasing awareness, generating some lack of clarity and divergence in perspectives, with patients receiving relatively high radiation doses (e.g., ≥ 100 mSv) from recurrent imaging warrants a multi-stakeholder accord for the benefit of patients, providers, and the imaging community. Key Points: • Recurrent medical imaging can result in an accumulation of exposures which exceeds 100 milli Sieverts. • Professional organizations have different perspectives on roles and responsibilities for recurrent imaging. • An expert panel reconciles differing perspectives for addressing radiation exposure from recurrent medical imaging. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Different polyurethanes (PUs) were synthesized with polycarbonate polyols of molecular weights of 500, 1000, and 2000 Da. Their self-healing abilities at 20 °C were tested, and their structural, thermal, and mechanical properties were analyzed. The PUs made with polycarbonates of molecular weights 500 (YC500) and 1000 Da (YC1000) exhibited self-healing at 20 °C, and the self-healing time of YC1000 was the shortest. The absence of crystallinity and the low degree of micro-phase separation favored self-healing at 20 °C in YC500. However, the presence of tack and the existence of allophanate species and urethane–carbonate and urea–carbonate hydrogen bonds disfavored self-healing. Consequently, the self-healing time at 20 °C of YC500 was longer than expected. On the other hand, YC1000 exhibited an "equilibrium" between urethane-carbonate and urea–carbonate hydrogen bonds and carbonate–carbonate interactions among the soft segments, so a particular structural order was produced that was associated with its fastest self-healing at 20 °C. The PU made with the polycarbonate of molecular weight 2000 Da did not exhibit self-healing at 20 °C because of its significant micro-phase separation, the presence of semi-crystalline soft domains, and the lower density of hydrogen bonds. [ABSTRACT FROM AUTHOR]

The Cu-24Zn-6Al-4Mn-3Fe alloy is mainly used for the manufacture of sliding bushings in the agricultural sector due to its high mechanical properties in the cast state. Understanding how the casting thermal parameters affect the microstructure and impact the properties of alloys is fundamental to optimizing manufacturing processes and improving performance during their application. In this study, the Cu-24Zn-6Al-4Mn-3Fe alloy was unidirectionally solidified under non-steady heat flow conditions using a water-cooled graphite base for heat exchange. Seven points were monitored along the longitudinal region of this ingot, and the data to obtain the solidification variables were extracted using an acquisition system. The cooling rates varied from 4.50 °C/s to 0.22 °C/s from the closest to the furthest position from the heat extraction point. The microstructure was analyzed via optical microscopy, scanning electron microscopy and X-ray diffraction in order to characterize the phases and intermetallic elements present in the material. The mechanical properties were evaluated through hardness and microhardness tests throughout longitudinal extension of the solidified part. The results showed an increase in hardness and microhardness with a decrease in the cooling rate, which may be related to the increase in size and the κ phase fraction with a decrease in the cooling rate, as analyzed via optical microscopy and scanning electron microscopy. Furthermore, in all positions, there was no significant change in the amount of the α phase retained, with the matrix being mainly composed of the β phase and a small content of approximately 2% of the α phase. [ABSTRACT FROM AUTHOR]

Purpose: Medical devices benefit patients living with overweight or obesity, but studies in the adolescent population are lacking. The goal of this study was to collect information on the performance and safety of a swallowable intragastric balloon program (SGBP) in adolescent patients. Materials and Methods: Data were collected retrospectively on patients aged 15 to 17 years with body mass index (BMI) ≥ 27 kg/m2 who received the swallowable intragastric balloon (SGB) and associated lifestyle and nutritional change program. Patients had not responded to previous dietary and behavioral modification weight loss treatments and elected to undergo SGBP. The SGB was swallowed and filled with 550 mL of distilled water in an outpatient setting, and a multidisciplinary team delivered a lifestyle/nutritional change program. Mean % total body weight loss (%TBWL) was calculated for each patient compared with baseline. Results: A total of 91 patients, 69 (75.8%) female and 22 (24.2%) male, underwent SGBP and completed follow-up through SGB passage at 4 months. Baseline mean ± SD age, weight, and BMI were 16.4 ± 0.77, 99.70 ± 21.33 kg, and 35.60 ± 5.59 kg/m2, respectively. After 4 months, mean weight and BMI were 86.37 ± 18.83 kg and 30.86 ± 5.16 kg/m2 respectively; %TBWL was 13.05 ± 7.64 (1-sided t-test, p < 0.0001). Most (80, 87.9%) reported no adverse events; 11/91 (12.1%) experienced an adverse event. Of these, 9/91 (9.9%) experienced nausea and/or vomiting; 1/91 (1.1%) reported abdominal pain only; 1/91 (1.1%) reported flatulence only. There were no serious adverse events or premature device removals. Conclusion: The SGBP provides safe and effective short-term weight loss in adolescents living with overweight and obesity. [ABSTRACT FROM AUTHOR]

This study explores the metabolic responses of undifferentiated cells of Tessaria absinthioides to light elicitation, with a focus on the production and accumulation of anthocyanins. It was observed that anthocyanin concentrations in cell biomass were notably higher compared to those in wild flowers, albeit with slight compositional differences, according to the HPLC-DAD analysis. Proteomic analysis showed that exposure to fluorescent light under a 16-hour photoperiod induced significant changes in protein expression in T. absinthioides calli. Under these conditions, 578 proteins were overexpressed and 486 proteins were uniquely identified. These proteins were predominantly clustered in key functional categories such as protein processing, cellular transport, DNA regulation, as well as those involved in sesquiterpene synthesis and developmental regulation. Furthermore, proteins essential for the phenylpropanoid pathway and anthocyanin biosynthesis were identified in light-exposed calli, with many significantly overexpressed compared to dark-grown cultures. A similar trend was observed in enzymes associated with the de novo synthesis of arginine, a precursor to stress-responsive metabolites like polyamines and nitric oxide. These findings can help elucidate the adaptive capabilities of T. absinthioides in vitro cultures, particularly the metabolic pathways involved in anthocyanin production in response to light elicitation. They also highlight the significance of cell cultures for the sustainable bioproduction of natural pigments.Key message: Light significantly enhances natural pigment production in T. absinthioides cells, with protein expression studies revealing the underlying mechanisms of this positive effect. [ABSTRACT FROM AUTHOR]

Analytical instrumentation is essential for chemical analysis in many fields, including biology and chemistry, but it can be costly and inaccessible to many educational institutions because it often requires expensive and sophisticated equipment. To address this issue, there has been growing interest in developing new and accessible alternatives. In this study, we developed a low-cost and user-friendly spectrophotometric detector based on an Arduino UNO platform. This detector was coupled with a flow injection analysis system (FIA) and used to quantify the concentration of tartrazine in commercial beverages and candy samples. The proposed miniaturized detector offers an affordable and portable alternative to conventional spectrophotometers. We evaluated the performance of our detector by comparing its results with those obtained using high-performance liquid chromatography (HPLC-DAD), and the accuracy and precision were comparable. The results demonstrate the potential of the Arduino-based spectrophotometric detector as a cost-effective and accessible tool, with potential applications in food science, environmental monitoring, and other fields. [ABSTRACT FROM AUTHOR]

Educational leadership serves a pivotal function in establishing the tenor of campus cultures. Executive decisions shape educational policy and practice in ways that either hinder or advance marginalised students' academic success. Leaders are in powerful positions to modify unjust academic ecosystems and to de-ideologise the white-centric dominant ideologies that lead to student pushout. Leadership actions tend to justify the status quo rather than to deconstruct campus culture and reconstruct antiracist options. Inaction from leadership has resulted in cultural discontinuities that lead some students to self-deidentify from academia. This article expands upon cultural mismatch theory to describe how race dysconsciousness, academic capitalism and rugged individualism operate to buttress ecosystemic conditions that create racially-antagonistic campus cultures. We propose strategies that leaders can implement to eradicate dominant ideologies at their home institutions and within educator-student relationships and individual mindsets. We also discuss important considerations and corresponding actions for creating culturally-congruent equity-focused educational spaces. [ABSTRACT FROM AUTHOR]

Immobility is known to impact health and well-being by reducing social contact, activity participation, and changing time use patterns. These unfortunate effects mostly affect specific demographic segments, including older adults, low income families, people who face disabilities, and those living in conflict zones. Emergency measures taken during the COVID-19 pandemic mandated or strongly recommended limitations to mobility, thereby causing this condition for segments of the public not usually characterized by high levels of immobility. In the context of the pandemic, reduced mobility was the non-pharmaceutical intervention of choice, and the evidence suggests that it helped to keep incidences of the disease from exploding. On the other hand, there is also a need to understand how mobility restrictions may have had incidental impacts, including to well-being, in population groups that have not been studied from this perspective before. In this spirit, the present paper uses the items of the Satisfaction with Life Scale to investigate how aspects of well-being changed during the pandemic, using a sample of 400 college and university students in Dhaka, Bangladesh. Analysis is based on multivariate ordered models and the results suggest that being less mobile, less active, and changes in activity time use due COVID-19 had an impact on the satisfaction with life of students. The detrimental effect was more marked for males and students from low-income households. Additionally, perceptions of residential characteristics and sense of belonging also correlate with satisfaction with life in the period under study. [ABSTRACT FROM AUTHOR]

Data from the 2019 Minnesota Student Survey, consisting of 166,176 students ranging in age from 10 to 18 years, were used to investigate patterns of adolescent suicidal ideation and attempt through the lens of Minority Stress Theory (MST). Through a conjunctive analysis of case configurations (CACC), the current study demonstrates that adolescent suicidal ideation and attempt cluster significantly among specific situational profiles defined by the unique combination of variable attributes. Students most likely to indicate suicidal ideation were generally sexual minority females in high school who experienced cyberbullying, parental abuse, dating violence, and sexual abuse. Students least likely to report suicidal ideation were generally non-sexual minorities in elementary school who nearly never experienced parental abuse, dating violence, or sexual abuse. Results regarding adolescent suicide attempt indicate analogous results. The current findings highlight the importance of furthering research on contextual predictors of adolescent suicidality, with particular emphasis on sexual minority adolescents. [ABSTRACT FROM AUTHOR]

Background: Pathways for intravenously administered gadolinium-based-contrast-agents (GBCAs) entering cerebrospinal-fluid (CSF) circulation in the human brain are not well-understood. The blood-CSF-barrier (BCSFB) in choroid-plexus (CP) has long been hypothesized to be a main entry-point for intravenous-GBCAs into CSF. Most existing studies on this topic were performed in animals and human patients with various diseases. Results in healthy human subjects are limited. Besides, most studies were performed using MRI methods with limited temporal resolution and significant partial-volume effects from blood and CSF. Methods: This study employs the recently developed dynamic-susceptibility-contrast-in-the-CSF (cDSC) MRI approach to measure GBCA-distribution in the CSF immediately and 4 h after intravenous-GBCA administration in healthy subjects. With a temporal resolution of 10 s, cDSC MRI can track GBCA-induced CSF signal changes during the bolus phase, which has not been investigated previously. It employs a long echo-time (TE = 1347 ms) to suppress tissue and blood signals so that pure CSF signal is detected with minimal partial-volume effects. GBCA concentration in the CSF can be estimated from cDSC MRI. In this study, cDSC and FLAIR MRI were performed immediately and 4 h after intravenous GBCA administration in 25 healthy volunteers (age 48.9 ± 19.5 years; 14 females). Paired t-tests were used to compare pre-GBCA and post-GBCA signal changes, and their correlations with age were evaluated using Pearson-correlation-coefficients. Results: At ~ 20 s post-GBCA, GBCA-induced cDSC signal changes were detected in the CSF around CP (ΔS/S = − 2.40 ± 0.30%; P <.001) but not in the rest of lateral ventricle (LV). At 4 h, significant GBCA-induced cDSC signal changes were observed in the entire LV (ΔS/S = − 7.58 ± 3.90%; P =.002). FLAIR MRI showed a similar trend. GBCA-induced CSF signal changes did not correlate with age. Conclusions: These results provided direct imaging evidence that GBCAs can pass the BCSFB in the CP and enter ventricular CSF immediately after intravenous administration in healthy human brains. Besides, our results in healthy subjects established a basis for clinical studies in brain diseases exploiting GBCA-enhanced MRI to detect BCSFB dysfunction. [ABSTRACT FROM AUTHOR]

The world is facing a significant demographic transition, with a substantial increase in the proportion of older persons, as well as long-lived persons (especially nonagenarians and centenarians). One of the popular beliefs is that old age is synonymous with disease and disability. However, the successful aging hypothesis suggests that those older persons with advanced chronological age who maintain their functional capacity derive from it a delay in biological aging, enhancing the quality of organic aging and regulation. Therefore, regardless of chronological age, even in cases of extreme longevity, those older adults with a successful aging phenotype and favorable functional capacity would be expected to have satisfactory post-surgical recovery with a low risk of morbidity and mortality. Currently, there is a significant gap between the availability of high-certainty surgical evidence that allows for evidence-based interventions applicable to the long-lived population—taking into account the actual conditioning factors of the health phenotype in older persons—and, above all, predictors of satisfactory post-surgical evolution. The application of meta-research to geriatric surgery emerges as a fundamental tool to address this knowledge gap and reveals opportunities and limitations that need to be resolved in the near future to establish evidence-based surgical care for older persons. The aim of this manuscript was to present a real and globally relevant scenario related to surgical care, addressing the longevity, the availability, and the quality of surgical evidence applicable to this population, and also to present variables to consider in analysis and future perspectives in research and meta-research in geriatric surgery. [ABSTRACT FROM AUTHOR]

Climate change, primarily driven by human activities such as burning fossil fuels, is causing significant long-term changes in temperature and weather patterns. To mitigate these impacts, there is an increased focus on renewable energy sources. However, optimizing power consumption through effective usage control and waste recycling also offers substantial potential for reducing energy demands. This study explores non-intrusive load monitoring (NILM) to estimate disaggregated energy consumption from a single household meter, leveraging advancements in deep learning such as convolutional neural networks. The study uses the UK-DALE dataset to extract and plot power consumption data from the main meter and identify five household appliances. Convolutional neural networks (CNNs) are trained with transfer learning using VGG16 and MobileNet. The models are validated, tested on split datasets, and combined using ensemble methods for improved performance. A new voting scheme for ensembles is proposed, named weighted average confidence voting (WeCV), and it is used to create combinations of the best 3 and 5 models and applied to NILM. The base models achieve up to 97% accuracy. The ensemble methods applying WeCV show an increased accuracy of 98%, surpassing previous state-of-the-art results. This study shows that CNNs with transfer learning effectively disaggregate household energy use, achieving high accuracy. Ensemble methods further improve performance, offering a promising approach for optimizing energy use and mitigating climate change. [ABSTRACT FROM AUTHOR]

Prussian blue is known for its high affinity for thallium and other univalent metal cations and has been used as a treatment for radiocaesium and thallium/radiothallium poisoning. While Prussian blue nanoparticles (PBNPs) show potential for binding radioactive thallium for further use in nuclear medicine applications, the inclusion mechanism remains elusive. Understanding the interaction between PBNPs and 201Tl is essential for identifying the physicochemical and radiochemical properties required for optimal in vivo performance. In this work, we evaluated the binding mechanism between Tl and PBNPs with different coatings and core shapes. Combining PBNPs with [201Tl] thallium(I) chloride provided high radiolabelling yields and radiochemical stabilities under physiological conditions. Comprehensive characterisation by different X-ray techniques confirmed that Tl ions are located in the interstitial sites within the crystal structure, maintaining the integrity of the iron (Fe) 4p electronic distribution and inducing local modifications in the nearby C–N ligands. Additionally, this inclusion does not impact the core or the shell of the nanoparticles but does alter their ionic composition. The PB ionic network undergoes significant changes, with a substantial drop in K+ content, confirming that Tl+ ions replace K+ and occupy additional spaces within the crystal structure. These results open new opportunities in nuclear medicine applications with 201Tl-PBNPs where the size, shape and composition of the particles can be specifically tuned depending on the desired biological properties without affecting the radiochemical performance as a vehicle for 201Tl. [ABSTRACT FROM AUTHOR]

Copyright of MEDISAN is the property of Centro Provincial de Informacion en Ciencias Medicas de Santiago de Cuba and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Cirugia is the property of Sociedad de Cirujanos de Chile and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article provides a comprehensive analysis of Jean Lassègue's book on the philosophy of Ernst Cassirer, with a particular focus on Cassirer's shift towards a semiotic perspective. Lassègue's unique conceptual framework offers a fresh interpretation of Cassirer's works, especially regarding the issue of semiotic mediation. The article also delves into Cassirer's early epistemological doctrine and his views on the development of modern science, emphasizing the significance of signs and symbols in knowledge. Lassègue's book further explores semiotics, examining the various modes of objectification and the distinction between signification and sense. It argues that philosophy is the awareness of symbolic forms and their processes of meaning production, distinguishing it from positive knowledge, which pertains to science. The text also explores the operators of semiosis, such as expression, evocation, and objectification, and their role in symbolic forms. Overall, this text offers a detailed analysis of Cassirer's philosophy of symbolic forms and its implications. [Extracted from the article]

Introduction: In ST-elevation myocardial infarction (STEMI), inflammation is pivotal, with early senescent CD4+CD28null cells implicated in its pathogenesis. However, the functional phenotype of these cells within the coronary circulation remains unclear. Methods: We examined CD4+ cell subpopulations in blood samples from the coronary sinus and vena cava of 24 STEMI patients and the cephalic vein of seven healthy controls. Results: Our findings revealed reduced CD4+ cell counts in STEMI patients compared to controls (1,998, 1,275–3,268 vs. 4,278, 3,595–4,449), alongside an increased proportion of CD4+ cells lacking CD28 expression (20.1 vs. 6.1%). These CD4+CD28null cells in STEMI predominantly exhibited a Th1 phenotype (47.8% vs. 6.6%). Intriguingly, no significant differences were detected in CD4+CD28null cells between coronary sinus and vena cava, and cytokine levels in these compartments remained similar. Conclusion: CD4+CD28null cells are increased in STEMI, mainly polarized toward a Th1 phenotype, and distributed equally between the different vascular beds. [ABSTRACT FROM AUTHOR]

Water quality and usability are global concerns due to microbial and chemical pollution resulting from anthropogenic activities. Therefore, strategies for eliminating contaminants are required. In this context, the removal and decrease in antibiotic activity (AA) associated with levofloxacin (LEV), using TiO2 and Ag/TiO2 catalysts, with and without sunlight and peroxydisulfate, was evaluated. Additionally, the disinfection capacity of catalytic systems was assessed. The catalysts were synthesized and characterized. Moreover, the effect of Ag doping on visible light absorption was determined. Then, the photocatalytic treatment of LEV in water was performed. The materials characterization and EPR analyses revealed that LEV degradation and AA decrease were ascribed to a combined action of solar light, sulfate radical, and photocatalytic activity of the TiO2-based materials. Also, the primary byproducts were elucidated using theoretical analyses (predictions about moieties on LEV more susceptible to being attacked by the degrading species) and experimental techniques (LC-MS), which evidenced transformations on the piperazyl ring, carboxylic acid, and cyclic ether on LEV. Moreover, the AA decrease was linked to the antibiotic transformations. In addition, the combined system (i.e., light/catalyst/peroxydisulfate) was shown to be effective for E. coli inactivation, indicating the versatility of this system for decontamination and disinfection. [ABSTRACT FROM AUTHOR]

Mycobacterium tuberculosis (Mtb), the causative pathogen of tuberculosis, remains one of the leading causes of death from a single infectious agent. Furthermore, the growing evolution to multi-drug-resistant (MDR) strains requires de novo identification of drug targets for evaluating candidates or repurposing drugs. Hence, targeting FtsZ, an essential cell division protein, is a promising target. Methods: Using an in silico pharmacological repositioning strategy, four FDA-based drugs that bind to the catalytic site FtsZ were selected. The Alamar Blue colorimetric assay was used to assess antimicrobial activity and the effect of drugs on Mtb growth through growth curves. Bacterial load was determined with an in vitro infection model using colony-forming units (CFU)/mL, and cytotoxicity on human monocyte-derived macrophages (MDMhs) was assessed by flow cytometry. Results: Paroxetine and nebivolol exhibited antimycobacterial activity against both reference TB and MDR strains at a concentration of 25 µg/mL. Furthermore, both paroxetine and nebivolol demonstrated a significant reduction (p < 0.05) in viable bacteria compared to the untreated group in the in vitro infection model. Conclusions: Collectively, our findings demonstrate that the use of paroxetine and nebivolol is a promising strategy to help in the control of tuberculosis infection. [ABSTRACT FROM AUTHOR]

Both the Theory of Affective Intelligence and the Expectancy Violation Theory suggest emotions are crucial in supporting political candidates. However, despite the considerable existing evidence on this topic, the impact of humor-induced emotions has been less explored. In this study, we examine whether positive and negative emotions mediate the effects of politicians' use of affiliative humor on their likeability and citizen's intention to vote for them. To do this, we designed an experiment in the context of the Chilean presidential elections of 2021, where two candidates representing extreme opposing ideologies competed for the office of president: Gabriel Boric, from a coalition including the Communist Party, and José Antonio Kast from the extreme-right Republican Party. Both candidates used different campaign techniques, including humor that did not always have political content. The experiment was run prior to the second round of the election with a sample of Chilean voters two months before the election (n = 1,033) and had four conditions: two experimental groups watched a video of a candidate using nonpolitical humor, and two control groups did not. Results indicate that humor boosted both candidates' likeability and vote probability differently: for Boric, it increased positive emotions; for Kast, it reduced negative emotions. Perceptions of a candidate's humor predicted higher likeability and declared probability of voting for him, independent of political stance. We discuss these outcomes through ITA and EVT frameworks and their significance for political communication. [ABSTRACT FROM AUTHOR]

Uveal melanoma (UM) is the most common intraocular malignancy in adults. Recent advances highlight the role of tumor-derived extracellular vesicles (TEV) and circulating hybrid cells (CHC) in UM tumorigenesis. Bridged with liquid biopsies, a novel technology that has shown incredible performance in detecting cancer cells or products derived from tumors in bodily fluids, it can significantly impact disease management and outcome. The aim of this comprehensive literature review is to provide a summary of current knowledge and ongoing advances in posterior UM pathophysiology, diagnosis, and treatment. The first section of the manuscript discusses the complex and intricate role of TEVs and CHCs. The second part of this review delves into the epidemiology, etiology and risk factors, clinical presentation, and prognosis of UM. Third, current diagnostic methods, ensued by novel diagnostic tools for the early detection of UM, such as liquid biopsies and artificial intelligence-based technologies, are of paramount importance in this review. The fundamental principles, limits, and challenges associated with these diagnostic tools, as well as their potential as a tracker for disease progression, are discussed. Finally, a summary of current treatment modalities is provided, followed by an overview of ongoing preclinical and clinical research studies to provide further insights on potential biomolecular pathway alterations and therapeutic targets for the management of UM. This review is thus an important resource for all healthcare professionals, clinicians, and researchers working in the field of ocular oncology. [ABSTRACT FROM AUTHOR]

Freshwater ecosystems play a key role in the global carbon cycle by collecting, transporting, and processing a significant portion of global organic carbon. These processes can be disrupted in non-perennial rivers due to their changing hydrological patterns. We investigated how environmental factors influence organic matter dynamics in the Algars, a Mediterranean non-perennial river basin in the North-East Iberian Peninsula. We conducted seasonal sampling in 16 sites across the river network, collecting samples for (i) storage of benthic organic matter, (ii) transport of dissolved organic carbon and particulate organic matter, and (iii) organic matter processing via aerobic respiration in sediments (Raz–Rru method). We observed pronounced spatial and temporal fluctuations in organic matter processes, especially during distinct periods like summer and autumn. Consistent seasonal patterns of organic matter transport showed a remarkable longitudinal increase downstream, similar to observed aerobic respiration in sediments. Notably, high-flow events doubled observed seasonal transport (mean DOC load: 2344 ± 735 kg/day). Irregular spatial storage patterns between dry and wet channel sections were related to land use and flow intermittency. Notably, storage in dry channel sections was generally ten times higher than wet sections. Our study emphasizes the intricate influence of specific environmental variables on organic matter processes, within different organic matter fractions (for example, coarse and dissolved organic matter). Frequency of non-flow events, seasonal hydrological changes, and land use predominantly govern organic matter dynamics in the Algars basin. Understanding organic carbon dynamics in non-perennial systems will help estimate the impact of hydrological alterations associated with global change on river systems. [ABSTRACT FROM AUTHOR]

Population demographic changes, alongside landscape, geographic and climate heterogeneity, can influence the timing, stability and extent of introgression where species hybridise. Thus, quantifying interactions across diverged lineages, and the relative contributions of interspecific genetic exchange and selection to divergence at the genome‐wide level is needed to better understand the drivers of hybrid zone formation and maintenance. We used seven latitudinally arrayed transects to quantify the contributions of climate, geography and landscape features to broad patterns of genetic structure across the hybrid zone of Populus trichocarpa and P. balsamifera and evaluated the demographic context of hybridisation over time. We found genetic structure differed among the seven transects. While ancestry was structured by climate, landscape features influenced gene flow dynamics. Demographic models indicated a secondary contact event may have influenced contemporary hybrid zone formation with the origin of a putative hybrid lineage that inhabits regions with higher aridity than either of the ancestral groups. Phylogenetic relationships based on chloroplast genomes support the origin of this hybrid lineage inferred from demographic models based on the nuclear data. Our results point towards the importance of climate and landscape patterns in structuring the contact zones between P. trichocarpa and P. balsamifera and emphasise the value whole genome sequencing can have to advancing our understanding of how neutral processes influence divergence across space and time. [ABSTRACT FROM AUTHOR]

The agricultural sector of Colombia supports the national economy and food security due to the rich lands for cultivation. Although Colombia has a vast hydrological basin, climate change can impact agricultural productivity, generating economic and social adverse effects. For this, we evaluated the impact of some environmental variables on the production of the most sold crops using production, climatic, and hydrological data of the 1121 municipalities from 2007 to 2020. We modeled the production of coffee, rice, palm oil, sugarcane, and corn, adopting a Bayesian spatio-temporal model that involved a set of environmental variables: average temperature, minimum temperature, maximum temperature, evapotranspiration, precipitation, runoff, soil moisture, vapor pressure, radiation, and wind speed. We found that increases in the average temperatures can affect coffee (-0.2% per °C), rice (-3.76% per °C), and sugarcane (-0.19% per °C) production, meanwhile, these increases can boost palm oil (+2.55% per °C) and corn (+1.28% per °C) production in Colombia. This statement implies that the agricultural sector needs to substitute land use, promoting the production of palm oil and corn. Although our results did not find a significant effect of hydrological variables in any crop, suggesting that the abundance of water in Colombia might balance the impact of these variables. The increases in vapor pressure impact all the crops negatively (between -11.2% to -0.43% per kPa), except rice, evidencing that dry air conditions affect agricultural production. Colombia must manage the production location of the traditional products and implement agro-industrial technologies to avoid the climate change impact on crops. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Education, Technology & Society (BRAJETS) / Cadernos de Educação Tecnologia e Sociedade (CETS) is the property of Brazilian Journal of Education, Technology & Society - BRAJETS and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The study assessed the Alternative Learning System (ALS) in Bulacan, focusing on learning delivery, resources, environment, and assessment to propose a professional development plan for teachers. Utilizing a mixed-methods approach, data were collected from 342 ALS implementers and learners through surveys and interviews. Findings revealed a diverse teacher demographic, predominantly female and single, with most having less than five years of experience and no recent seminar attendance. Most teachers held Bachelor's degrees, with some possessing Master's degrees, and a majority had passed the LET exam. Respondents rated ALS implementation as "fully implemented," except for learners who rated the learning delivery and learning resources as "implemented". As for significant differences among the respondents, ALS implementation has no significant differences among the four learning domains. Challenges included limited interaction, ineffective communication, curriculum mismatches, resource constraints, and high workloads. Overall, there was consensus on ALS implementation across respondent groups, highlighting strengths and areas needing improvement to enhance the program's effectiveness and teacher support. To effectively address the challenges the ALS program faces, it is essential to enhance instructional delivery through increased face-to-face interaction between students and teachers, alongside providing targeted training on ALS pedagogy for educators. Developing effective learning materials, ensuring adequate facilities, creating a separate ALS curriculum, and establishing clear assessment policies will help minimize distractions, support student engagement, and improve overall learning outcomes. [ABSTRACT FROM AUTHOR]

Copyright of Arte, Individuo y Sociedad is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The recent development and approval of new diagnostic imaging and therapy approaches in the field of theranostics have revolutionised nuclear medicine practice. To ensure the provision of these new imaging and therapy approaches in a safe and high-quality manner, training of nuclear medicine physicians and qualified specialists is paramount. This is required for trainees who are learning theranostics practice, and for ensuring minimum standards for knowledge and competency in existing practising specialists. Methods: To address the need for a training curriculum in theranostics that would be utilised at a global level, a Consultancy Meeting was held at the IAEA in May 2023, with participation by experts in radiopharmaceutical therapy and theranostics including representatives of major international organisations relevant to theranostics practice. Results: Through extensive discussions and review of existing curriculum and guidelines, a harmonised training program for theranostics was developed, which aims to ensure safe and high quality theranostics practice in all countries. Conclusion: The guiding principles for theranostics training outlined in this paper have immediate relevance for the safe and effective practice of theranostics. [ABSTRACT FROM AUTHOR]

We investigate the structural relaxation of a soft-sphere liquid quenched isochorically (ϕ = 0.7) and instantaneously to different temperatures Tf above and below the glass transition. For this, we combine extensive Brownian dynamics simulations and theoretical calculations based on the non-equilibrium self-consistent generalized Langevin equation (NE-SCGLE) theory. The response of the liquid to a quench generally consists of a sub-linear increase of the α-relaxation time with system's age. Approaching the ideal glass-transition temperature from above (Tf > Ta), sub-aging appears as a transient process describing a broad equilibration crossover for quenches to nearly arrested states. This allows us to empirically determine an equilibration timescale teq(Tf) that becomes increasingly longer as Tf approaches Ta. For quenches inside the glass (Tf ≤ Ta), the growth rate of the structural relaxation time becomes progressively larger as Tf decreases and, unlike the equilibration scenario, τα remains evolving within the whole observation time-window. These features are consistently found in theory and simulations with remarkable semi-quantitative agreement and coincide with those revealed in a previous and complementary study [P. Mendoza-Méndez et al., Phys. Rev. 96, 022608 (2017)] that considered a sequence of quenches with fixed final temperature Tf = 0 but increasing ϕ toward the hard-sphere dynamical arrest volume fraction ϕ H S a = 0.582. The NE-SCGLE analysis, however, unveils various fundamental aspects of the glass transition, involving the abrupt passage from the ordinary equilibration scenario to the persistent aging effects that are characteristic of glass-forming liquids. The theory also explains that, within the time window of any experimental observation, this can only be observed as a continuous crossover. [ABSTRACT FROM AUTHOR]