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Based on experimental data, we propose a model to evaluate the energy dissipated during quantum tunneling processes in solid-state junctions. This model incorporates a nonlinear friction force expressed in the general form f (x) = γ v (x) α , where γ is the frictional coefficient, which is fitted to data. We study this by applying voltages just below the barrier height up to near breakdown voltages. Furthermore, by lowering the temperature and adjusting the applied voltage to the junction, the effect on dissipation caused by the variation in barrier height is examined. We underline that the crucial dependency of dissipation on the fraction of particle energy lost is modulated by two primary mechanisms: the application of voltage and the variation of temperature. The fraction of energy dissipated decreases, in general, for increasing energies of the tunneling particles at a given temperature. However, for a given energy of the tunneling particle, the present work demonstrates a turning point at a temperature of 137 K, after which the dissipated energy starts increasing for higher temperatures. The latter can possibly be due to the increase of electron–phonon interactions, which become predominant over barrier height reduction at higher temperatures, and hence, we identify T = 137 K as a critical temperature for a change in the dissipative characteristics of the solid-state junction under consideration. Notably, the study also identifies significant changes in dissipation parameters, γ and α, above 137 K, exhibiting a linear decline and underscoring the importance of further research at higher temperatures. [ABSTRACT FROM AUTHOR]

A new population analysis, ADCHα-I, based on the interpolation between the Hirshfeld (H) and the iterative Hirshfeld (H-I) methods through a parameter α and on the atomic dipole moment corrected Hirshfeld (ADCH) methodology is proposed, in combination with the constrained dipole moment density functional theory (CD-DFT) previously developed, to determine the charge distributions of force fields. Following this approach, the electronic density of the isolated molecule is determined for the value of the dipole moment that reproduces the experimental dielectric constant, in order to incorporate through this property the effects of the surrounding molecules in the liquid, and to carry on this information to the molecular simulation, the new population analysis is built to obtain the set of charges that reproduces this dipole moment. By selecting α = 1/2, one is led to charges that are larger than the ones obtained through H and ADCH and smaller than those of H-I and that incorporate, at the local level, information about the response of isolated atoms to donate or to accept charge, which is not considered in ADCH. The results obtained for several liquid properties indicate that the combination of CD-DFT with this population analysis leads to a good description of the charge distributions in force fields used in molecular simulations. [ABSTRACT FROM AUTHOR]

Out-of-school youth sport in the United States is bigger, more varied, and more impactful than ever before. In dialogue with existing scholarship, this paper uses multisite, collaborative fieldwork to identify core elements of program variation and develop a composite typology of this organizational field. The typology is based on a distinction between "sport-focused" programs and programs oriented toward nonsport social and developmental goals. Our primary insight is that programs within these domains exhibit two different organizational logics, one hierarchical, the other categorical. We also argue that variabilities of funding, social context, and reliance on public facilities are additional factors that impact the operation and effectiveness of these program types including their ability to address the racialized challenges of access, equity, and inclusion. Theorizing these differential configurations and their underlying characteristics can help parents, policymakers, practitioners (including coaches), and sports researchers engage youth sports more effectively under increasingly competitive neoliberal conditions. [ABSTRACT FROM AUTHOR]

We present two studies examining the relationship between athlete leadership quality and team resilience and explored the mediating effect of team identification. In Study 1, 194 soccer players (Mage = 18.50, SD = 4.49) from eight national teams participated. Structural equation modeling showed cross-sectionally that the four types of athlete leadership qualities were positively related to the characteristics of resilience and negatively to vulnerability under pressure. Team identification was shown to be a mediator of these relationships. Study 2, with four different time-points, involved 208 young soccer players (Mage = 16.05, SD = 3.39) from two professional clubs (i.e., La Liga). Cross-lagged panel models revealed that task leadership quality (Times 1–2) was positively related to the characteristics of resilience (Times 3–4) and negatively to vulnerability under pressure (Times 3–4). However, team identification did not mediate these relationships. Therefore, practitioners should consider the perceptions of leader quality to achieve benefits during competition. [ABSTRACT FROM AUTHOR]

Crystal surfaces play a pivotal role in governing various significant processes, such as adsorption, nucleation, wetting, friction, and wear. A fundamental property that influences these processes is the surface free energy, γ. We have directly calculated γ(T) for low-index faces of Lennard-Jones (LJ), germanium, and silicon crystals along their sublimation lines using the computational cleavage technique. Our calculations agree well with experimental values for Si(111) and Ge(111), highlighting the accuracy of the method and models used. For LJ crystals, we identified a premelting onset at Tpm = 0.75Tm, marked by a sharp increase in atom mobility within the second outermost surface layer. Notably, Tpm closely aligned with the endpoint of the LJ melting line at negative pressures, Tend = 0.76Tm. We hypothesize that the emergence and coexistence of a liquid film atop the LJ crystal at Tpm < T < Tm correspond to the metastable melting line under negative pressures experienced by stretched crystal surfaces. Furthermore, our study of thin LJ crystal slabs reveals that premelting-induced failure leads to recrystallization below the homogeneous freezing limit, offering a promising avenue to explore crystal nucleation and growth at extremely deep supercoolings. Finally, no evidence of premelting was detected in the model crystals of Ge and Si, which is consistent with the experimental observations. Overall, our findings offer valuable insights into crystal surface phenomena at the atomic scale. [ABSTRACT FROM AUTHOR]

Variability in manufacturing processes must be properly monitored and controlled to avoid incurring quality problems; otherwise, the probability of manufacturing defective products increases, and, consequently, production costs rise. This paper presents the development of a methodology to locate the source(s) of variation in the manufacturing process in case of a statistical deviation so that the user can quickly take corrective actions to eliminate the source of variation, thus avoiding the manufacture of out-of-specification products. The methodology integrates the multivariate cumulative sum control chart and the multilayer perceptron artificial neural network for the detection and interpretation of the source(s) of variation generated in the manufacturing processes. A case study was carried out with a printed circuit board manufacturing process, and it was possible to classify the origin of the variation with a sensitivity of 92.41% and specificity of 91.16%. The results demonstrate the viability of the proposed methodology to monitor and interpret the source of statistical variation present in production systems. [ABSTRACT FROM AUTHOR]

Aging is the result of the accumulation of a wide variety of molecular and cellular damages over time, meaning that "the more damage we accumulate, the higher the possibility to develop age-related diseases". Therefore, to reduce the incidence of such diseases and improve human health, it becomes important to find ways to combat such damage. In this sense, geroprotectors have been suggested as molecules that could slow down or prevent age-related diseases. On the other hand, nutraceuticals are another set of compounds that align with the need to prevent diseases and promote health since they are biologically active molecules (occurring naturally in food) that, apart from having a nutritional role, have preventive properties, such as antioxidant, anti-inflammatory and antitumoral, just to mention a few. Therefore, in the present review using the specialized databases Scopus and PubMed we collected information from articles published from 2010 to 2023 in order to describe the role of nutraceuticals during the aging process and, given their role in targeting the hallmarks of aging, we suggest that they are potential geroprotectors that could be consumed as part of our regular diet or administered additionally as nutritional supplements. [ABSTRACT FROM AUTHOR]

In this article, we investigate the structural relaxation of lithium silicate glass during isothermal physical aging by monitoring the temporal evolution of its refractive index and enthalpy following relatively large (10–40 °C) up- and down-jumps in temperature. The Kohlrausch–Williams–Watts function aptly describes the up- and down-jump data when analyzed separately. For temperature down-jumps, the glass exhibits a typical stretched exponential kinetic behavior with the non-exponentiality parameter β < 1, whereas up-jumps show a compressed exponential behavior (β > 1). We analyzed these datasets using the non-exponential and non-linear Tool–Narayanaswamy–Moynihan (TNM) model, aiming to provide a comprehensive description of the primary or α-relaxation of the glass. This model described both up- and down-jump datasets using a single value of β ≤ 1. However, the standard TNM model exhibited a progressively reduced capacity to describe the data for larger temperature jumps, which is likely a manifestation of the temperature dependence of the non-exponentiality or non-linearity of the relaxation process. We hypothesize that the compressed exponential relaxation kinetics observed for temperature up-jumps stems from a nucleation-growth-percolation-based evolution on the dynamically mobile regions within the structure, leading to a self-acceleration of the dynamics. On the other hand, temperature down-jumps result in self-retardation, as the slow-relaxing denser regions percolate in the structure to give rise to a stretched exponential behavior. [ABSTRACT FROM AUTHOR]

Background and Purpose: The diagnostic criteria for myelin oligodendrocyte glycoprotein antibody (MOG‐IgG)‐associated disease (MOGAD) were published in 2023. We aimed to determine the performance of the new criteria in Latin American (LATAM) patients compared with the 2018 criteria and explore the significance of MOG–IgG titers in diagnosis. Methods: We retrospectively reviewed the medical records of LATAM (Argentina, Chile, Brazil, Peru, Ecuador, and Colombia) adult patients with one clinical MOGAD event and MOG‐IgG positivity confirmed by cell‐based assay. Both 2018 and 2023 MOGAD criteria were applied, calculating diagnostic performance indicators. Results: Among 171 patients (predominantly females, mean age at first attack = 34.1 years, mean disease duration = 4.5 years), 98.2% patients met the 2018 criteria, and of those who did not fulfill diagnostic criteria (n = 3), all tested positive for MOG‐IgG (one low‐positive and two without reported titer). Additionally, 144 (84.2%) patients met the 2023 criteria, of whom 57 (39.5%) had MOG‐IgG+ titer information (19 clearly positive and 38 low‐positive), whereas 87 (60.5%) patients had no MOG‐IgG titer. All 144 patients met diagnostic supporting criteria. The remaining 27 patients did not meet the 2023 MOGAD criteria due to low MOG‐IgG (n = 12) or lack of titer antibody access (n = 15), associated with the absence of supporting criteria. The 2023 MOGAD criteria showed a sensitivity of 86% (95% confidence interval = 0.80–0.91) and specificity of 100% compared to the 2018 criteria. Conclusions: These findings support the diagnostic utility of the 2023 MOGAD criteria in an LATAM cohort in real‐world practice, despite limited access to MOG‐IgG titration. [ABSTRACT FROM AUTHOR]

Background: Parkinson's disease (PD) is a chronic neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, which promotes a sustained inflammatory environment in the central nervous system. Regulatory T cells (Tregs) play an important role in the control of inflammation and might play a neuroprotective role. Indeed, a decrease in Treg number and function has been reported in PD. In this context, pramipexole, a dopaminergic receptor agonist used to treat PD symptoms, has been shown to increase peripheral levels of Treg cells and improve their suppressive function. The aim of this work was to determine the effect of pramipexole on immunoregulatory Treg cells and its possible neuroprotective effect on human dopaminergic neurons differentiated from human embryonic stem cells. Methods: Treg cells were sorted from white blood cells of healthy human donors. Assays were performed with CD3/CD28‐activated and non‐activated Treg cells treated with pramipexole at concentrations of 2 or 200 ng/mL. These regulatory cells were co‐cultured with in vitro‐differentiated human dopaminergic neurons in a cytotoxicity assay with 6‐hydroxydopamine (6‐OHDA). The role of interleukin‐10 (IL‐10) was investigated by co‐culturing activated IL‐10‐producing Treg cells with neurons. To further investigate the effect of treatment on Tregs, gene expression in pramipexole‐treated, CD3/CD28‐activated Treg cells was determined by Fluidigm analysis. Results: Pramipexole‐treated CD3/CD28‐activated Treg cells showed significant protective effects on dopaminergic neurons when challenged with 6‐OHDA. Pramipexole‐treated activated Treg cells showed neuroprotective capacity through mechanisms involving IL‐10 release and the activation of genes associated with regulation and neuroprotection. Conclusion: Anti‐CD3/CD28‐activated Treg cells protect dopaminergic neurons against 6‐OHDA‐induced damage. In addition, activated, IL‐10‐producing, pramipexole‐treated Tregs also induced a neuroprotective effect, and the supernatants of these co‐cultures promoted axonal growth. Pramipexole‐treated, activated Tregs altered their gene expression in a concentration‐dependent manner, and enhanced TGFβ‐related dopamine receptor regulation and immune‐related pathways. These findings open new perspectives for the development of immunomodulatory therapies for the treatment of PD. [ABSTRACT FROM AUTHOR]

By adopting Habermas' communicative theory, this paper categorizes players' actions into four elements. The strategic action involves players manipulating each other within the framework of a game1; normative action is manifested in following the rules and the underlying ethos; dramaturgical action emerges through the players' deliberate presentation of themselves to both participants and spectators; and communicative action reveals the purpose of a game as a way of being. The conceptualization of game actions leads to a qualitative redefinition of the perfect game, which enables a greater understanding of the game, its participants, and human excellence. As such, this paper's significance lies in the proposal that the Habermasian perfect game is a potential solution to Suits' puzzle about what type of games can be played in his Utopia. [ABSTRACT FROM AUTHOR]

This study analyzed the relationship between academic performance and the development of transversal competencies of reasoning for complexity and digital transformation in higher education students. The Tec21 educational model of the Tecnológico de Monterrey was used as a framework for analysis. Data from 33,319 students were analyzed following a CRISP-DM methodology, first an exploratory analysis was performed on the data to recognize and understand the presence of competencies in the educational model. Machine Learning methodologies, including Random Forest and XGBoost, were then employed to identify the most influential curricular and co-curricular variables in the acquisition of studied competencies. The results revealed a significant correlation between academic performance and the acquisition of the competencies, highlighting that high grades are consistently associated with success in developing these competencies. This study extends the understanding of how competency-focused educational interventions can facilitate professional and personal development in a labor market that demands advanced skills and adaptability. The discussion focuses on the implications of these findings for formulating educational policies and pedagogical practices that prioritize both academic achievement and the comprehensive development of essential 21st-century competencies. From a broader perspective, our work is framed in the achievement of Sustainable Development Goal 4 Quality Education and is oriented to identify variables that boost the acquisition of 21st Century Skills in higher education contexts. [ABSTRACT FROM AUTHOR]

As society experiences accelerated ageing, understanding the complex biological processes of human ageing, which are affected by a large number of variables and factors, becomes increasingly crucial. Artificial intelligence (AI) presents a promising avenue for ageing research, offering the ability to detect patterns, make accurate predictions, and extract valuable insights from large volumes of complex, heterogeneous data. As ageing research increasingly leverages AI techniques, we present a timely systematic literature review to explore the current state-of-the-art in this field following a rigorous and transparent review methodology. As a result, a total of 77 articles have been identified, summarised, and categorised based on their characteristics. AI techniques, such as machine learning and deep learning, have been extensively used to analyse diverse datasets, comprising imaging, genetic, behavioural, and contextual data. Findings showcase the potential of AI in predicting age-related outcomes, developing ageing biomarkers, and determining factors associated with healthy ageing. However, challenges related to data quality, interpretability of AI models, and privacy and ethical considerations have also been identified. Despite the advancements, novel approaches suggest that there is still room for improvement to provide personalised AI-driven healthcare services and promote active ageing initiatives with the ultimate goal of enhancing the quality of life and well-being of older adults. Overview of the literature review. [ABSTRACT FROM AUTHOR]

Development of organic field-effect transistors (OFETs) that simultaneously exhibit high-performance and high-stability is critical for complementary integrated circuits and other applications based on organic semiconductors. While progress has been made in enhancing p-channel devices, engineering competitive n-type organic transistors remains a formidable obstacle. Herein, we demonstrate the achievement of high-mobility n-type OFETs with unprecedented operational stability through innovative device and material engineering. Thin film transistors fabricated on donor–acceptor polymers based on indacenodithiazole (IDTz) and diketopyrrolopyrrole (DPP) units exhibit electron mobilities up to 1.3 cm2 V−1 s−1, along with a negligible change in mobility, and threshold voltage shift as low as 0.5 V under continuous bias stress of 60 V for both the gate-source and drain-source voltages persisting for more than 1000 min. These remarkable properties position our OFETs as formidable counterparts to p-type transistors, addressing a longstanding challenge in the field. [ABSTRACT FROM AUTHOR]

In the present work, a comparison of the P–T equilibrium points of gas hydrates formation in bulk phase and porous medium (large particle size natural quartz sand) was studied for three different gas-hydrates: CO2, CH4 and a sample of natural gas. The effect of the large particle size in the P–T equilibrium conditions during the formation of gas hydrates was analyzed. Isochoric method and a cooling-heating rate of 0.7 K/h were used. The experimental results are compared with literature data and with the software CSMHyd and PVTsim. It was found that the P–T equilibrium points obtained in bulk are similar, within the experimental error, to the P–T points obtained in the large particle size natural quartz sand (gas + water + porous medium), in the range of temperature and pressure of 270–285 K and 1–14 MPa. For the systems gas (CO2, CH4) + water, the results were compared with literature data with an average deviation less than 7%. The system natural gas + water + porous medium was compared with similar experiments reported in the literature with smaller porous size silica (6–100 nm). A similar tendency is observed in systems with a porous size greater than 20 nm. Highlights: Porosity and permeability of quartz sand were measured experimentally. Phase equilibria of CH4, CO2, and natural gas hydrates in quartz sand were measured. The methodology is validated for gas hydrates stability in bulk phase and porous media. Experimental results are compared with literature and software CSMHyd and PVTsim. [ABSTRACT FROM AUTHOR]

Mathematical education requires innovative didactic strategies to enhance the understanding and application of mathematical concepts, as traditional teaching methods often lack relevance. This methodology aims to develop a problem-solving scientific approach called design thinking as a strategy for learning mathematics functions. The study was applied to a sample of 138 students of biochemical, biological, and industrial engineering careers attending the first academic cycle at the Faculty of Natural and Exact Sciences of the Particular Technical University of Loja-Ecuador. The methodology uses a quasi-experimental design with a convenience sampling method. All participants were divided into a control group (C, D, K) and an experimental group (P, Q, R). Knowledge, skills, perceptions, and engagement were measured through pretest, posttest, workshop, rubric, project, and survey instruments. The pretest results indicate that both groups had similar knowledge of mathematical functions (pretest mean experimental group: 1.42/2 and mean control group: 1.55/2). Moreover, after applying design thinking strategy to the experimental group, variables questionnaire , project , and workshop show statistical differences (p < 0.001) between groups related to the traditional learning strategy, increasing the experimental group's score in the project (posttest mean experimental group: 1.62/2 points, and mean control group: 1.65/2). The survey opinion indicates that 53.5% of the experimental group highlighted the project's development as positively impacting their academic training. In conclusion, problem-solving design thinking using scientific projects as a mathematical function learning strategy contributes to improving the comprehension of polynomial functions and developing mathematical competencies, abilities, and skills to generate tangible solutions for real problems. [ABSTRACT FROM AUTHOR]

This work comprises a generalization of a simple geometric model originally developed to describe coupled rotations of corner-sharing octahedra in the surface layer of S r 2 RuO4 under uniaxial compression. The main objective of the model is to establish a link between the experimental global strain configuration and the possible microscopic mechanisms and compatible geometries by which the octahedra accommodate the applied strain. In achieving this, a useful and intuitive parametrization of four-site two-dimensional systems of corner-sharing octahedra has been established, which can be readily extended to three dimensions and N > 4 inequivalent sites or directly employed to analyze the octahedral configuration of many perovskites, transition metal oxides (TMOs), and layered compounds. [ABSTRACT FROM AUTHOR]

The properties of correlated electron materials are often intricately linked to Van Hove singularities (VHS) in the vicinity of the Fermi energy. The class of these VHS is of great importance, with higher-order ones—with power-law divergence in the density of states—leaving frequently distinct signatures in physical properties. We use a new theoretical method to detect and analyse higher-order VHS (HOVHS) in two-dimensional materials and apply it to the electronic structure of the surface layer of Sr2RuO4. We then constrain a low energy model of the VHS of the surface layer of Sr2RuO4 against angle-resolved photoemission spectroscopy and quasiparticle interference data to analyse the VHS near the Fermi level. We show how these VHS can be engineered into HOVHS. The density of states is an important quantity for a quantum material. Here, we demonstrate how singularities in the density of states can be characterized and engineered, combining the theoretical analysis of different experiments on the paradigmatic quantum material Sr2RuO4. [ABSTRACT FROM AUTHOR]

Introduction: Bouvardia ternifolia is a plant known for its traditional medicinal uses, particularly in treating inflammation and oxidative stress. Recent studies have explored its potential in neuroprotection, especially in the context of cerebral ischemia/reperfusion injury, a condition where blood supply returns to the brain after a period of ischemia, leading to oxidative stress and inflammation. This damage is a major contributor to neuronal death and neurodegenerative diseases. Methods: A BCCAO/reperfusion model was induced, followed by treatment with B. ternifolia extract. Various molecular biology methods were employed, including Western blot analysis, gene expression assessment via RT-qPCR, and the measurement of oxidative stress mediators. Results: In the BCCAO/reperfusion model, the compounds in the dichloromethane extract work by targeting various signaling pathways. They prevent the activation of iNOS and nNOS, reducing harmful reactive oxygen and nitrogen species, and boosting antioxidant enzymes like catalase and superoxide dismutase. This lowers oxidative stress and decreases the expression of proteins and genes linked to cell death, such as Bax, Bcl-2, and caspase-3. The extract also blocks the TLR4 receptor, preventing NF-κB from triggering inflammation. Additionally, it reduces the activation of microglia and astrocytes, as shown by lower levels of glial activation genes like GFAP and AiF1. Conclusion: The dichloromethane extract of B. ternifolia demonstrated significant neuroprotective effects in the BCCAO/reperfusion model by modulating multiple signaling pathways. It effectively reduced oxidative stress, inhibited inflammation, and attenuated apoptosis, primarily through the downregulation of key proteins and genes associated with these processes. These findings suggest that the extract holds therapeutic potential for mitigating ischemia/reperfusion-induced neuronal damage. [ABSTRACT FROM AUTHOR]

Gallium (Ga), a low‐melting‐point liquid metal with soft, metallic, and biocompatible properties, offers many possibilities. However, the potential of composites that integrate Ga with biomacromolecules, combining their biocompatibility, elasticity, and conductivity, has not been thoroughly explored, which is a gap for advancing these composites in various applications. In parallel and independently, protein self‐assembled l.,;3bhnanofibrils have attracted great interest as building blocks for functional biomaterials. Here, composites of Ga droplets and nanofibrils are presented, self‐assembled from plant proteins of soy protein isolate (SPI). It is evidenced that in these composites self‐assembled SPI nanofibrils can effectively reduce the oxidation of Ga droplets. It is observed that the composites of β‐sheet nanofibrils and Ga droplets offer mechanical properties similar to only fibrils‐based films. Films of 32 wt% Ga in SPI showed enhanced electrical conductivity and well‐structured nanofibrils with multifunctional potential in gas‐sensing and electronically controlled antibacterial applications. It is illustrated that the 32 wt% Ga in SPI composite offered the best sensing performance for a diatomic molecule, CO, and electro‐stimulation of this composite effectively reduced bacterial growth. The Ga in SPI composite, combining the advantages of protein nanofibrils and Ga droplets, offers great potential in future biomedical applications. [ABSTRACT FROM AUTHOR]

Cytotoxic activity is a hallmark of the immunopathogenesis in human cutaneous leishmaniasis (CL). In this study, we identified accumulation of CD4+ granzyme B producing T cells with increased cytotoxic capacity in CL lesions. These cells showed enhanced expression of activating NK receptors (NKG2D and NKG2C), diminished expression of inhibitory NKG2A, along with the upregulation of the senescence marker CD57. Notably, CD4+ T cells freshly isolated from CL lesions demonstrated remarkable capacity to mediate NL-like bystander cytolysis. Phenotypic analyses revealed that lesional CD4+ T cells are mainly composed of late-differentiated effector (CD27-CD45RA-) and terminally differentiated (senescent) TEMRA (CD27-CD45RA+) subsets. Interestingly, the TEMRA CD4+ T cells exhibited higher expression of granzyme B and CD107a. Collectively, our results provide the first evidence that senescent cytotoxic CD4+ T cells may support the skin pathology of human cutaneous leishmaniasis and, together with our previous findings, support the notion that multiple subsets of cytotoxic senescent cells may be involved in inducing the skin lesions in these patients. [ABSTRACT FROM AUTHOR]

Chlorosplenium is a small genus comprising five species of inoperculate discomycetes in the order Helotiales (Leotiomycetes) often recognizable by their bright yellowish-green colors and gregarious growth on wood. In this study, we describe five new species—C. aotearoa, C. australiense, C. cusucoense, C. epimorsicum, and C. hawaiiense—based on a combination of recent fieldwork and examination of previously collected fungarium specimens. We use an integrative taxonomic approach to support the distinction of new species, incorporating morphology and DNA sequence data with biogeography. Macro- and micromorphological features of apothecia for all species and culture characteristics for four of the five new species are documented. A multilocus phylogeny based on nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2, partial large subunit nuc ribosomal DNA (28S nuc rDNA), and A–B regions of the largest subunit of RNA polymerase II (RPB1) gene is presented. Additionally, we report Chlorosplenium chlora from Europe for the first time and expand our knowledge of the diversity and distributions of species in this genus in America, Australia, and New Zealand. [ABSTRACT FROM AUTHOR]

Introduction: Management of aortic stenosis (AS) in patients with chronic kidney disease (CKD) may often be overlooked, and this could confer poorer outcomes. Methods: Consecutive patients (n = 727) with index echocardiographic diagnosis of moderate to severe AS (aortic valve area <1.5 cm²) were examined. They were divided into those with CKD (estimated glomerular filtration rate < 60 mL/min) and those without. Baseline clinical and echocardiographic parameters were compared, and a multivariate Cox regression model was constructed. Clinical outcomes were compared using Kaplan--Meier curves. Results: There were 270 (37.1%) patients with concomitant CKD. The CKD group was older (78.0 ± 10.3 vs. 72.1 ± 12.9 years, P < 0.001), with a higher prevalence of hypertension, diabetes mellitus, hyperlipidaemia and ischaemic heart disease. AS severity did not differ significantly, but left ventricular (LV) mass index (119.4 ± 43.7 vs. 112.3 ± 40.6 g/m², P = 0.027) and Doppler mitral inflow E to annular tissue Doppler e' ratio (E: e' 21.5 ± 14.6 vs. 17.8 ± 12.2, P = 0.001) were higher in the CKD group. There was higher mortality (log-rank 51.5, P < 0.001) and more frequent admissions for cardiac failure (log-rank 25.9, P < 0.001) in the CKD group, with a lower incidence of aortic valve replacement (log-rank 7.12, P = 0.008). On multivariate analyses, after adjusting for aortic valve area, age, left ventricular ejection fraction and clinical comorbidities, CKD remained independently associated with mortality (hazard ratio 1.96, 95% confidence interval 1.50-2.57, P < 0.001). Conclusion: Concomitant CKD in patients with moderate to severe AS was associated with increased mortality, more frequent admissions for cardiac failure and a lower incidence of aortic valve replacement. [ABSTRACT FROM AUTHOR]

Background/Objectives: To assess the cytocompatibility, antibacterial and anti-biofilm efficacy of grape seed extract (GSE) and quercetin hydrogels versus calcium hydroxide (CH) as intracanal medications (ICMs) against an endodontic ex vivo biofilm model. Methods: Single-rooted teeth (n = 50) were prepared and sterilized before being infected with E. faecalis to develop a mature biofilm. They were divided into five equal groups according to the ICM used: G1: medicated with CH paste, G2: medicated with GSE hydrogel, G3: medicated with quercetin hydrogel, G4: positive control group that was infected and not medicated, and G5: negative control group that was neither infected nor medicated. After 1 week, the ICM was removed, and the root canals were cultured to assess the antibacterial efficacy by counting the colony-forming units and the anti-biofilm efficacy by the crystal violet assay. Dead/live bacterial viability was assessed by CFLSM examination, while the cytocompatibility was assessed using the MTT assay. Results: CH had the best antibacterial efficacy, followed by GSE and quercetin hydrogels (p < 0.001). Regarding the anti-biofilm efficacy, GSE was superior, followed by quercetin and CH (p < 0.001). CFLSM examination showed CH and GSE hydrogel to be highly effective in comparison to the positive control (p < 0.0001), with no statistical difference between them (p > 0.05). CH showed significantly higher cell viability percentages using a 500 μg/mL, while quercetin and GSE started to show cell viability > 70% at concentrations of 125 μg/mL and 62.5 μg/mL. Conclusions: CH fulfilled the ideal requirements of ICM as being both antibacterial and non-cytotoxic compared to the other materials tested. [ABSTRACT FROM AUTHOR]

Background: The gut–brain axis may mediate mood changes due to strenuous exercise. Therefore, probiotic supplementation may mitigate mood worsening. Purpose: The present study aims to evaluate the effect of probiotic supplementation on mood and immunometabolic parameters after a marathon. Materials and methods: Fourteen marathon runners were selected and divided into placebo and probiotic groups that were supplemented for 30 days. Before and after the marathon, mood (POMS) was assessed, and blood was collected for analysis of immunometabolic parameters. Statistical analysis was performed, and p < 0.05 was considered to determine statistically differences. Results: Tension decreased after the marathon in both groups. Vigor decreased only in the placebo group. Fatigue increased after the marathon in both groups. TMD increased after the marathon in placebo. The IL2/IL-4 ratio decreased in the probiotic group after the marathon compared to before and increased compared to the placebo group. The IL-10 increased after the marathon in placebo. TNF-α increased after the marathon in probiotics. The TNF-α/IL-10 ratio decreased after the marathon in both groups. LPS decreased in the probiotic group after the marathon compared to before and in the placebo group. Conclusions: Thirty days of probiotic supplementation attenuated the impact of marathons on mood worsening. The decrease in LPS in the probiotic group mediated the change in the pro/anti-inflammatory balance, indicating an immunometabolic mechanism by which the gut–brain axis impacts mood after strenuous exercise. [ABSTRACT FROM AUTHOR]

Dietary fats influence gene expression and several metabolic pathways. Therefore, it is crucial to study the role of personal genotypes in the interaction between fat consumption and cardiometabolic markers. This research aimed to determine the interaction of the rs708272 polymorphism of CETP and the fatty acid intake with changes in the HOMA-IR in adults living with overweight or obesity. The current study was a secondary analysis of an 8-week controlled clinical trial. The final sample for this analysis comprised 78 Mexican adults with the Cholesteryl Ester Transfer Protein (CETP) rs708272 polymorphism who followed a dietary intervention. Using an interaction analysis, we evaluated the fatty acid intake and the genotypes of rs708272, with changes in blood glucose, insulin, and the HOMA-IR from baseline to endpoint. Our findings suggest a significant interaction between the trans fatty acid intake and the GG genotype with changes in glucose (p = 0.024), insulin (p = 0.004), and the HOMA-IR (p = 0.002). The higher the consumption of trans fatty acids, the less these markers of glucose metabolism were reduced. carriers of the GG genotype may benefit from limiting dietary trans fatty acid intake, as there was no reduction in plasma glucose and insulin despite a hypocaloric dietary intervention in adults with overweight and obesity. [ABSTRACT FROM AUTHOR]

New asphalt mixtures have been improved by using fibers (polypropylene, polyester, asbestos, carbon, glass, nylon, lignin, coconut, sisal, recycled rubber, PET, wood, bamboo, and cellulose), reducing the temperature and compaction energy for their collocation, minimizing the impact on the environment, increasing the tenacity and resistance to cracking of hot mix asphalt (HMA), preventing asphalt drainage in a Stone Mastic Asphalt (SMA). Hence, this paper aims to evaluate the influence of the chemical (lignin content, ash, viscosity, degree of polymerization, and elemental analysis), morphological (SEM), spectroscopic (FTIR-ATR and XRD), and calorimetric (ATG and DSC) properties of celluloses from bagasse Agave tequilana Weber var. Azul (ABP), corrugated paperboard (CPB) and commercial cellulose fiber (CC) as Schellenberg drainage (D) inhibitors of the SMA. The ABP was obtained through a chemical process by alkaline cooking, while CPB by a mechanical refining process. The chemical, morphological, spectroscopic, and calorimetric properties were similar among the analyzed celluloses, but CPB and ABP cellulose are excellent alternatives to CC cellulose for inhibiting drainage. However, CPB is the most effective at low concentrations. This is attributed to its morphology, which includes roughness, waviness, filament length, orientation, and diameter, as well as its lignin content and crystallinity. [ABSTRACT FROM AUTHOR]

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The work presented is a comprehensive review of the role of the human microbiota in the context of the COVID-19 pandemic. A diverse microbial community heavily colonizes the human body called the microbiota, with the gut microbiota being the most diverse. The composition of the microbiota varies in different parts of the body and changes with age, diet, and other environmental factors. Emerging evidence suggests that the gut microbiota plays a critical role in modulating the host immune response and may influence the severity of COVID-19. Patients with COVID-19 have significant alterations in their gut and respiratory microbiota, characterized by a depletion of beneficial commensal bacteria and an enrichment of opportunistic pathogens. These changes in microbiota composition are associated with elevated inflammatory markers, a dysregulated immune response, and more severe disease outcomes. In addition, changes in the gut microbiota can affect lung and brain function, influencing the severity of COVID-19 cases and neurological symptoms, as well as long-term neurological complications associated with the disease. Due to the importance of the microbiota in COVID-19, several therapeutic approaches targeting the microbiota have been proposed to improve outcomes in this disease, including fecal microbiota transplantation, probiotic and prebiotic supplementation, postbiotic or microbiota-derived metabolite supplementation, dietary interventions, and lifestyle strategies. Overall, the review highlights the critical role of the human microbiota in the pathogenesis and progression of COVID-19 and the potential of microbiota-targeted interventions to improve patient outcomes. [ABSTRACT FROM AUTHOR]

The rapid evolution of artificial intelligence (AI) and especially machine learning (ML) has significantly transformed the technological landscape, influencing diverse sectors and making notable inroads into the realm of finance. This paper delves into the challenges posed by ML models, known for their black-box nature, non-deterministic behaviour, reliance on big data and inherent complexity, often lacking clear specifications. These characteristics present novel testing challenges compared to traditional software. In addressing these challenges, the authors introduce a conceptual framework tailored for testing ML-based systems, with a specific focus on financial applications. Theoretical concepts are exemplified through a real-world case study of the implementation of an ML-based bond trading system within a banking context. As the AI technologies become increasingly integrated into critical financial systems, a deeper understanding of their testing strategies will be essential for mitigating risks and harnessing their full potential. The heightened significance of in-depth testing knowledge, propelled by AI-driven progress, holds relevance for both testers and managers in navigating the complexities of the technological changes. [ABSTRACT FROM AUTHOR]

Introduction: Minimally invasive surgery (MIS) has become standard of care in many high‐income countries, but its adoption in low‐ and middle‐income countries (LICs/MICs) has been impeded by resource‐ and training‐related barriers. We hypothesized that trainees in MICs perform MIS procedures less often, and that as procedure complexity increases, the rate of MIS decreases. Methods: A 22‐question survey, distributed to representative leaders across Latin America, collected country‐specific graduating trainee case requirements and volumes for four index procedures (cholecystectomy, appendectomy, inguinal hernia repair, colectomy) using MIS or open surgery (OS). USA data was obtained from the Accreditation Council for Graduate Medical Education. Kruskal–Wallis and Mann–Whitney U tests were performed to determine whether the rate of MIS differed across all countries, procedure complexity classes, and high income countries (HICs)/MICs. Results: Seven experts (70% response rate) completed the survey, representing: Brazil, Chile, Ecuador, Guatemala, Mexico, Panama, and Paraguay. The percentage of MIS completed by trainees varied with mean and interquartile ranges as follows: cholecystectomy (60% ± 54%), appendectomy (41% ± 69%), inguinal hernia repair (19% ± 23%), colectomy (16% ± 29%). There was a significant difference in mean MIS experience across the eight countries (H = 17.6, p = 0.014) and between most complex and least complex procedures (p = 0.039). No difference was found between MICs and HICs (p = 0.786). Conclusions: We found a significant difference of general surgery trainee exposure to MIS versus OS across the Americas, but the difference was not significantly associated with World Bank Income Groups. Different trainee experiences with MIS and OS may highlight an opportunity for international and bidirectional collaboration. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to examine the effectiveness of an augmentative and alternative communication (AAC) intervention package consisting of systematic instruction and aided AAC modeling with speech-output technology on the acquisition, maintenance, and generalization of socio-communicative behaviors in four minimally speaking, preschool-aged, autistic children. Method: A multiple-probe design across behaviors (i.e., initiating a request for a turn, answering questions, and commenting) replicated across participants was implemented to evaluate the effects of the intervention package on socio-communicative behaviors. Furthermore, a pretreatment and posttreatment multiple-generalization-probe design was used to assess generalization across typically developing peers who were not a part of the intervention. Maintenance data were collected 3 weeks post intervention. Results: Visual analysis, corroborated by nonoverlapping of all pairs statistics, established a strong functional relationship between the AAC intervention package and all targeted socio-communicative outcomes for two participants. For the other two participants, inconsistent intervention effects were observed. In terms of generalization from interacting with the researcher to typically developing peers, a functional relationship between the intervention and generalization outcomes for all targeted behaviors was established for only one participant (i.e., Aiden). Conclusion: The outcomes of this study suggest that aided AAC modeling and systematic instruction using a speech-output technology may lead to gains in socio-communicative behaviors in some minimally speaking, preschool-aged, autistic children. [ABSTRACT FROM AUTHOR]

As the Anthropocene proceeds, the matrix in which remaining habitats are embedded is an increasingly dominant component of altered landscapes. The matrix appears to have diverse and far-reaching effects, yet our understanding of the causes and consequences of these effects remains limited. We first synthesize the broad range of perspectives on the matrix, provide a generalized framing that captures these perspectives, and propose hypotheses for how and why the matrix matters for ecological and evolutionary processes. We then summarize evidence for these hypotheses from experiments in which the matrix was manipulated. Nearly all experiments revealed matrix effects, including changes in local spillover, individual movement and dispersal, and use of resources in the matrix. Finally, we discuss how the matrix has been, and should be, incorporated into conservation and management and suggest future issues to advance research on and applications of the matrix in ecology, evolution, and conservation. [ABSTRACT FROM AUTHOR]

Background and purpose: The art of diagnosis in clinical neurology requires attentive listening and careful observation. In certain situations, a fragment of the history or a physical sign may be so distinctive that it allows clinicians to evoke a specific diagnosis. This quick mental process was previously referred to as 'Augenblickdiagnose' ('diagnosis in the blink of an eye') in a seminal paper by Dr. William Campbell in 1998. We aimed to revisit this concept by providing additional clinical vignettes. Methods: The authors wrote clinical vignettes using examples from their own clinical practice and performed a non‐systematic review of influential neurology textbooks using the words 'pathognomonic' and 'highly suggestive'. Results: Twenty examples from various fields of neurology are presented in a table, stratified by major fields of neurology. A short educational reflection is provided for each diagnosis considered. Conclusion: 'Augenblickdiagnose' is an engaging teaching resource that also contributes to 'neurophilia', that is, a fascination for neurology, perhaps increasingly in today's modern neurology practice. However, multiple cognitive biases underlying mental shortcuts may lead to an incorrect diagnosis. It is important to stress that good clinical practice in neurology requires taking a thorough history and performing a careful neurological examination. [ABSTRACT FROM AUTHOR]

A combination of density measurement, differential scanning calorimetry, refractometry, and Raman and 29Si nuclear magnetic resonance (NMR) spectroscopy is employed to characterize the evolution of the structure and physical properties of lithium disilicate (Li2Si2O5) and lead metasilicate (PbSiO3) glasses during physical aging. Both glasses display marked increase in density, enthalpy recovery, and refractive index following a temperature down‐jump near their glass transition regions. The collective analysis of Raman and NMR spectra reveals that the aging‐induced structural relaxation in these silicate networks involves a significant disproportionation of Q‐species as well as their spatial clustering. [ABSTRACT FROM AUTHOR]

Respiratory sinus arrhythmia (RSA), a marker of self‐regulation, has been linked to developmental outcomes in young children. Although positive emotions may have the potential to facilitate physiological self‐regulation, and enhanced self‐regulation could underlie the development of positive emotions in early childhood, the relation between positive emotions and physiological self‐regulation in infancy has been relatively overlooked. The current study examined the bidirectional associations among maternal positive emotion, infant positive emotionality, and infant resting RSA across the first 18 months of life. We used data from the Longitudinal Attention and Temperament Study (LanTs; N = 309 in the current analysis) to test the within‐ and between‐person relations of study variables over time using a random‐intercepts cross‐lagged panel model. We found that infants with higher overall levels of positive emotionality also displayed greater resting RSA, and their mothers exhibited higher levels of positive emotion. However, there were negative cross‐lagged associations within‐person; higher than average infant positive emotionality predicted lower levels of infant resting RSA at the subsequent timepoint during early infancy, whereas higher than average infant RSA subsequently predicted decreased levels of infant positive emotionality later in infancy. Results highlight the importance of considering transactional relations between positive emotion and physiological self‐regulation in infancy. [ABSTRACT FROM AUTHOR]

A diaminocyclopentadienone ruthenium complex allows control of regioselectivity in the ruthenium-catalyzed isomerization of propargyl alcohols through the choice of additive. Thereby, both products of the Meyer–Schuster rearrangement and redox isomerization products are selectively accessible. In the presence of hydroxylamine- O -sulfonic acid, unsaturated nitriles are formed instead. The ruthenium catalyst is readily available and stable to moisture, air, and acidic conditions. [ABSTRACT FROM AUTHOR]

Caregivers of children with attention deficit-hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) experience more stress than caregivers of typically developing children but there is limited research evaluating caregivers' quality of life (QoL). This study aimed to describe the association of caregiver QoL in children with ASD and/or ADHD. This study included patients with ADHD and/or ASD seen in one pediatric specialty clinic between September 2018-August 2020. Caregivers were classified as those caring for children with ASD-only, ADHD-only, or youth with both conditions (ADHD + ASD). An adapted version of the PedsQL Family Impact Module was used to measure caregiver QoL. The sample included caregivers of 931 children. The majority of these children were male (74.7%), non-Hispanic white (63.3%), and aged 6 to 12 years (57.8%). Across the groups, significant differences were observed in patient age (p < 0.0001), preferred language (p = 0.005), and insurance (p = 0.001). Caregivers of non-Hispanic Black children had 4-times the odds of reporting feeling isolated from others (OR 4.36, 95% CI 1.19-16.00 p = 0.03). Those caring for children with ADHD-only had significantly lower odds of reporting helplessness or hopelessness (OR 0.45, 95% CI 0.26-0.80, p = 0.004), and difficulty talking about their child's health with others (OR 0.30, 95% CI 0.17-0.54, p < 0.0001). Similarly, caregivers of children who had ADHD + ASD reported higher odds of difficulty making decisions together as a family (OR 14.18, 95% CI 1.15-17.91, p=0.04) and difficulty solving family problems together (OR 45.12, 95% CI 2.70-752.87), p = 0.008). Caring for children with ADHD and/or ASD may affect caregiver QoL. [ABSTRACT FROM AUTHOR]

STUDY QUESTION What are the current national medically assisted reproduction (MAR) data collection systems across EU Member States, and how can these countries contribute to a unique, cycle-by-cycle registry for the European Monitoring of Medically Assisted Reproduction (EuMAR) project? SUMMARY ANSWER The study identified significant variation in MAR data collection practices across Member States, with differences in data types, collection methods, and reporting requirements; the EuMAR project emerges as an opportunity to enhance data standardization and improve MAR data collection in the EU. WHAT IS KNOWN ALREADY There is a need for new approaches in MAR data collection that include long-term and cross border follow-up. The EuMAR project intends to establish a unified, cycle-by-cycle registry of data on MAR treatments in EU countries, from which accurate cumulative outcomes can be calculated. STUDY DESIGN, SIZE, DURATION This cross-sectional study involved a survey and interviews with stakeholders from 26 EU Member States conducted in 2023 over a period of seven months. PARTICIPANTS/MATERIALS, SETTING, METHODS Representatives from national competent authorities and professional associations involved in MAR data collection in EU countries were invited to complete the survey and interviewed to assess current data flows, information requirements, and their interest in the EuMAR project. MAIN RESULTS AND THE ROLE OF CHANCE Half of the participating countries reported having a national MAR registry with cycle-by-cycle data (n = 13), while 31% reported having a national registry with aggregated data (n = 8) and 19% reported having no national registry (n = 5). Of the countries with a national cycle-by-cycle registry, eight countries collect identifiable data, five countries collect pseudonymized data, and one country collects fully anonymized data. Informed consent is required in 10 countries. The main advantages that participants expected from a European registry like EuMAR were the possibility of obtaining national statistics in the absence of a national registry and improving the calculation of cumulative outcomes. LIMITATIONS, REASONS FOR CAUTION The results of the study are based on self-reported data, which may be subject to bias, however, the validity of the collected information was verified with different means, including follow-up calls for clarifications and sharing final transcript reports. The feasibility of the proposed data flow models will be tested in a pilot study. WIDER IMPLICATIONS OF THE FINDINGS Despite the heterogeneity of data collection practices across EU countries, the results show that stakeholders have high expectations of the benefits that the EuMAR registry can bring, namely the improvement of data consistency, cross-border comparability, and cumulative live birth rates, leading to better information for patients, health care providers and policy makers. STUDY FUNDING/COMPETING INTEREST(S) The EuMAR project was co-founded by ESHRE and the European Commission (101079865—EuMAR–EU4H-2021-PJ2). No competing interests were declared. TRIAL REGISTRATION NUMBER N/A. [ABSTRACT FROM AUTHOR]

This article presents the design and implementation of an educational strategy based on gamification, whose objective was to motivate students and encourage active participation in virtual classes. The experience was developed with 35 undergraduate students of the National University of Ucayali in the subject of Systems Design. A diagnosis of the students' needs and interests was conducted, the technological tools were selected to design and implement gamification scenarios, and finally, the results demonstrated a high level of acceptance of the strategy, which favoured learning and improved the pass rate with respect to previous years. [ABSTRACT FROM AUTHOR]

Objective: Susac syndrome (SuS), multiple sclerosis (MS), and primary angiitis of the central nervous system (PACNS) present diagnostic challenges due to overlapping clinical features. We aimed to enhance diagnostic precision by developing the SPAMS (SuS, PACNS, MS) score, a practical radiological tool. Methods: This multicenter study included 99 patients (43 SuS, 37 MS, 19 PACNS) from South American countries. Relevant MRI features were identified through an elastic‐net model determined key variables. Results: The SPAMS score assigned 2 points for snowball lesions, 1 point for spokes‐like lesions, or if there are more than 4 lesions in the corpus callosum, corpus callosum involvement, or cerebellar involvement. It subtracted 1 point if gadolinium‐enhancing lesions or 4 points if Dawson's fingers are present. Bootstrapping validated the optimal cutoff at 2 points, exhibiting a diagnostic performance of area under the curve = 0.931, sensitivity = 88%, specificity = 89%, positive predictive value = 88%, negative predictive value = 89%, and accuracy = 88%. Interpretation: When specific MRI findings coexisted, the SPAMS score differentiated SuS from MS and PACNS. Access to MRI and standard protocol sequences makes it a valuable tool for timely diagnosis and treatment, potentially preventing disability progression and severe clinical outcomes. ANN NEUROL 2024;96:846–854 [ABSTRACT FROM AUTHOR]

Purpose: One of the most cited literature in SHRM is Schuler and Jackson's (1987) behavioural model. This model proposes that organisational performance is dependent on the extent to which HRM practices can be effectively connected to competitive strategy and desired employee behaviours. Importantly, this model recognises the salient role of employee behaviour in performance outcomes and, moreover that different competitive strategies imply both promulgation and reinforcement of different sets of employee skills and behaviours. Surprisingly, despite its significant influence on SHRM, studies rarely examine this model in its entirety. Motivated by the need to better understand this model's arguments in contemporary settings, our study uses a multi-actor design to explore the connections between competitive strategies (cost reduction and differentiation), employee behaviours, and HRM practices in service environments. Design/methodology/approach: Adopting a multi-level, multi-actor survey design, our exploratory deductive study assesses the utility of strategic HRM's (SHRM) behavioural model. Drawing on data from a sample of service organisations and using univariate analyses, we compare operationalised HRM practices and employee behaviours across different strategy types. Findings: Results lend provisional support for the behavioural model, particularly in the case of a differentiation strategy where notable differences in HRM practices and employee behaviours were observed. Findings suggest growing levels of memetic and competitive isomorphism may be occurring, with this likely attributable to the increased incidence of idea generation and information sharing about best practices occurring amongst practitioners, as well as a growing nuance in operating markets, managerial preferences, employee expectations, stakeholder objectives, and the like. Research limitations/implications: Our study suggests refinements to the behavioural model are needed. Some support for the model's key tenets is found, but these appear context specific. Thus, the merit in developing a priori typologies linking strategy type to HRM practices and employee behaviours where organisations operate in environments which are particularised and tumultuous appears debatable. Practical implications: This study highlights the behavioural model's nuance to modern service organisations and, by doing so, practitioners are provided with a behavioural pathway for achieving competitive advantage through their HRM practices. Findings also suggest that increasingly competitive environments might be encouraging practitioners to engage in isomorphic behaviours. Originality/value: The use of a comparative research design allowed our study to contribute much needed empiricism to the largely conceptually informed stylised typologies depicting the linkages between different competitive strategies, implied employee role behaviours and HRM practices, thereby supporting the need for model refinement. [ABSTRACT FROM AUTHOR]

Objectives: This 2-part randomized parallel triple-blind clinical trial adopts a unique model assessing clinically-set hydraulic calcium silicate-based sealers (HCSBS) after different root canal dryness protocols and obturation techniques. Methods: For the first phase of the study, 24 teeth scheduled for orthodontic extractions were allocated into four groups according to the canal dryness protocol and the obturation technique. G1 (CLC-AHP): cold lateral compaction (CLC) with AH Plus sealer, G2 (CLC-ES-SD): CLC with Endosequence (ES) after standard canal(s) dryness (SD); G3 (SC-ES-SD): matching single-cone (SC) with ES after SD; G4 (SC-ES-PD): as G3 but after partial canal(s) dryness (PD). Teeth were extracted after one month of clinical service and examined for intracanal voids by micro-CT (2D & 3D). For the 2nd phase, another 24 teeth were allocated into four groups according to the root canal dryness protocol and the HCSBS used (ES or CeraSeal (CeS)). Teeth were extracted after one month and sectioned vertically for energy dispersive X-ray (EDX)/scanning electron microscope (SEM) examination. One-way ANOVA with Games-Howell post-hoc test and Chi-square test with multiple z-tests were used for statistical analysis. Results: SC-PD showed the highest percentage of voids (p < 0.05). MicroCT scans as well as EDX/SEM examination showed that PD resulted in significantly larger interfacial gaps (p < 0.001) with more hydration products at the sealer/dentin interface than SD. Conclusions: Both tested dryness protocols allowed the hydration of HCSBS and the formation of hydration products, thus standard dryness is recommended to reduce the incidence of intracanal voids. Clinical relevance: When using the single-cone obturation technique, intentional root canal moisture negatively affects the performance of HCSBS. Protocol Registration: http://www.clinicaltrials.gov, ID: NCT05808062. [ABSTRACT FROM AUTHOR]

Background: Ultra high dose rate (UHDR) radiotherapy using ridge filter is a new treatment modality known as conformal FLASH that, when optimized for dose, dose rate (DR), and linear energy transfer (LET), has the potential to reduce damage to healthy tissue without sacrificing tumor killing efficacy via the FLASH effect. Purpose: Clinical implementation of conformal FLASH proton therapy has been limited by quality assurance (QA) challenges, which include direct measurement of UHDR and LET. Voxel DR distributions and LET spectra at planning target margins are paramount to the DR/LET‐related sparing of organs at risk. We hereby present a methodology to achieve experimental validation of these parameters. Methods: Dose, DR, and LET were measured for a conformal FLASH treatment plan involving a 250‐MeV proton beam and a 3D‐printed ridge filter designed to uniformly irradiate a spherical target. We measured dose and DR simultaneously using a 4D multi‐layer strip ionization chamber (MLSIC) under UHDR conditions. Additionally, we developed an "under‐sample and recover (USRe)" technique for a high‐resolution pixelated semiconductor detector, Timepix3, to avoid event pile‐up and to correct measured LET at high‐proton‐flux locations without undesirable beam modifications. Confirmation of these measurements was done using a MatriXX PT detector and by Monte Carlo (MC) simulations. Results: MC conformal FLASH computed doses had gamma passing rates of >95% (3 mm/3% criteria) when compared to MatriXX PT and MLSIC data. At the lateral margin, DR showed average agreement values within 0.3% of simulation at 100 Gy/s and fluctuations ∼10% at 15 Gy/s. LET spectra in the proximal, lateral, and distal margins had Bhattacharyya distances of <1.3%. Conclusion: Our measurements with the MLSIC and Timepix3 detectors shown that the DR distributions for UHDR scenarios and LET spectra using USRe are in agreement with simulations. These results demonstrate that the methodology presented here can be used effectively for the experimental validation and QA of FLASH treatment plans. [ABSTRACT FROM AUTHOR]

Exploring the impact of performance audits on public company management becomes a crucial field of study, highlighting how these critical assessments not only reveal operational effectiveness but also shape strategic and policy decisions. Plithogenic statistics analysis, in particular, emerges as an innovative approach that goes beyond traditional methods, introducing the inherent complexity of multiple interdependent variables and their dynamic effects on organizational outcomes. This statistical framework not only captures the inherent fluctuations in the data, but also unravels the root causes of varying performances, providing deep insights that challenge static perceptions of public administration. From a practical perspective, plithogenic analysis not only quantifies current performance, but also anticipates future trends, equipping managers with powerful tools to adjust strategies and policies more precisely. By considering the complex interaction between multiple factors, from resource management to operational efficiency, this statistical approach allows for a more holistic and nuanced assessment of the impacts of performance audits. Thus, a dynamic landscape is revealed where each piece of data reflects not only superficial results, but also the hidden connections that define the effectiveness and long-term sustainability of modern public companies. [ABSTRACT FROM AUTHOR]

Drawing on the story of Aginic and its educational analytics platform edPortal, this teaching case study examines how applying agile methods and design thinking to analytics has helped unlock significant value for Aginic, its clients and the education sector overall. It describes key factors driving the successful integration of agile values and design approaches, allowing students to gain a deep understanding on how such integration can facilitate the development of innovative data analytics products. [ABSTRACT FROM AUTHOR]

Introduction: The role of uric acid (UA) on bone metabolism is controversially discussed. Higher UA levels have been associated with higher T-scores and a reduced incidence of fractures in postmenopausal women. However, in the context of rheumatoid arthritis (RA), the role of UA remains unclear. This pilot study aimed to investigate the association of UA levels with bone mineral density in RA female and male patients. Methods: This pilot study analyzed patients with RA to explore preliminary associations. We utilized data from the Rh-GIOP cohort, a prospective monocentric observational study focusing on bone health in chronic rheumatic diseases. To assess the association between UA levels and the lowest T-scores measured at the lumbar spine, hip, or femur, we used linear regression with adjustment for various confounders. An interaction term was included to evaluate differential associations in pre- and postmenopausal women. Results: Data on dual X-ray absorptiometry (DXA) measurements and serum UA levels were analyzed in a total of 206 patients. Among the 167 women 16 were premenopausal (age 40 ± 8 years) and 149 postmenopausal (age 65 ± 10 years). As expected, postmenopausal had lower T-scores than premenopausal patients (-1.53 ± 1.01 versus − 0.41 ± 1.29, respectively). No association of UA levels with T-scores was found when analyzing the whole cohort (Slope β: -0.04; p = 0.45). However, a significant negative correlation of UA with T-scores in premenopausal (Slope β: -0.98; p = 0.014), but not postmenopausal (Slope β: -0.04; p > 0.05) women was found. Conclusion: Uric acid appears to be negatively associated with bone mineral density in premenopausal but not in postmenopausal women with RA. Thus, the impact of UA on bone health seems to depend on the hormonal status of women. Further investigations are required to validate these results in a larger cohort of patients and to investigate the underlying mechanisms. [ABSTRACT FROM AUTHOR]