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AcD cell on the left (note that the axon emerges from a basal dendrite), non-AcD cell on the right (axon emerging from soma) and fast-spiking interneuron in the middle (highlighted in red). Both M (2022) Dendritic axon origin enables information gating by perisomatic inhibition in pyramidal neurons. Textbooks provide a relatively simple, integrated view of the structure and function of neurons: synaptic input arrives at the richly branched dendrites, the resulting membrane potential fluctuations propagate passively to the soma and reach the axon initial segment. [Extracted from the article]

Zusammenfasssung Hintergrund  Große Studierendenzahlen und heterogene Dozierende erschweren einheitliche Kursgestaltungen und die objektive Standardisierung von Prüfungen im chirurgischen Fertigkeitstraining. Diese Arbeit zeigt die Vorteile des Einsatzes neuer Medien im „Blended-learning-Konzept“ für das Fertigkeitstraining im Studiengang Humanmedizin der Universität Basel. Material und Methoden  Der studentische chirurgische „Nahtkurs“ wurde nach einem Blended-learning-Konzept mit multimedialer CD, Präsenzveranstaltung und Skills Lab restrukturiert. Die Lernziele des Kurses wurden am Ende der Studienjahre anhand von Posten mit Checklisten im OSCE („objective structured clinical examination“) überprüft. Die studentische Kursbeurteilung sowie die Prüfungsergebnisse vor und nach Einführung des „blended learning“ wurden miteinander verglichen. Ergebnisse  Sowohl die Beurteilungen der eingesetzten Lehrmittel, des subjektiven Übungserfolges und des prospektiven Nutzens für das Wahlstudienjahr (Praktisches Jahr) als auch die Gesamtkursbeurteilung waren nach Einführung des Blended-learning-Konzeptes signifikant höher als im alten Kursformat. Auch der Anteil an bestandenen Prüfungen war mit einem Zuwachs von 10% signifikant im Vergleich zum alten Kurs erhöht. Schlussfolgerung  „Blended learning” kann sowohl Wahrnehmung und Leistung als auch die Effizienz des Fertigkeitstrainings und der Betreuungszeit verbessern. Dadurch werden indirekt Ressourcen gespart. Chirurgische Verfahren können klar und übersichtlich vermittelt werden. [ABSTRACT FROM AUTHOR]

Mercury (Hg), arsenic (As), cadmium (Cd), lead (Pb) and other toxic heavy metals (HM) pose significant risks to the environment, negatively impacting the morpho-physiological and biological traits of plants. At present, toxic elements constitute a significant proportion of the food chain, exerting an impact on human health due to their mobility and biomagnification. The metal exclusion biological technique stands out for its robust performance, even when dealing with extremely low metal concentrations. Its eco-friendly nature and cost-effectiveness further enhance its value. Due to the exponential growth pattern of bacteria, these exhibit high metal persistence and are recommended for metal exclusion processes. Moreover, vacuoles like vesicles present in mycorrhizal fungi can hold extremely high levels of HM. Microbe-assisted phytoremediation primarily occurs through two mechanisms: through the direct provision of the essential nutrients and phytohormones, such as plant growth regulators, siderophores, enzymes, and mineral; or indirectly by modulating the metal detoxification process. This indirect mechanism involves microbes aiding in the accumulation and sequestration of metals in plants through the secretion of specific extracellular substances like organic acids, biosurfactants, and chelators. Moreover, the metal bioavailability and translocation in the rhizosphere are also altered via various mechanisms like acidification, precipitation, complexation or redox reactions. The understanding of the molecular and physiological processes underpinning the functions of arbuscular mycorrhizal fungi (AMF) in reducing HM toxicity, improving plant performance by procuring nutrients under HM-toxicity has significantly improved in recent years. In this review, adaptive and persistent methods related to physiological and cross-protective mechanisms in bacteria and mycorrhizal fungi (MF) resulting from the evolutionary consequences of dealing with HM toxicity have been addressed. Furthermore, the article offers details on the physiological and molecular reactions of host plants with fungi, and bacteria to HM stress, which may be useful for unveiling new knowledge about the strategies of HMs remediation. [ABSTRACT FROM AUTHOR]

The escalating use of plastic materials in viticulture causes release of microplastics (MPs) into vineyard soils. This study examines the impact on soil health of polypropylene (PP) raffia and polyvinyl chloride (PVC) tube strings, commonly mulched into the topsoil after use. A 120-d incubation experiment was conducted with soils exposed to high doses (10 g/kg) of microplastics (MPs) from standard, new and used strings. The study investigated alterations in the microbial community, bioavailability of macronutrients (NH4+ and NO3−, P, K, Ca, Mg), and bioavailability of micronutrients (Cu, Zn, Fe, Mg). The presence of MPs significantly stressed the soil microbial community, reducing microbial biomass by 30% after 30 d, with the exception of PVC in acid soil, which caused an unexpected increase of about 60%. The metabolic quotient (qCO2) doubled in MP-polluted soils, with PVC exerting a more pronounced effect than PP. Basal respiration increased by 25% relative to the acid control soil. PVC MPs raised soil pH from 6.2 to 7.2 and firmly reduced the bioavailability of micronutrients, particularly in acidic soils, and led to a 98% reduction in nitrate (NO3−). The availability of NH4+, P, K, Mg decreased by 10% and Cu, Fe, Mn, Zn by 30%. However, Ca availability increased by 30%, despite shifting from the acid-soluble fraction to soil organic matter and crystalline minerals. Calcareous soil was generally more resilient to changes than the acid soil. These findings underscore the urgent need to investigate the long-term effects of MPs from viticulture on soil properties and health. [ABSTRACT FROM AUTHOR]

Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR. However, until now, it has not been shown which biofluid; among serum and plasma, that can serve as the best material medium for detecting lung cancer with highest levels of accuracy. In this study, plasma and serum isolated from blood consenting participants without lung cancer symptoms (controls) and lung cancer patients. The samples were measured using FTIR and subsequently analyzed by machine learning (ML) algorithms in order to show which fluids (serum or plasma) would better enhance detection of lung cancer. Higher absorbances values of PO2−, CH2, CH3 and amides vibrations in FTIR spectra of both serum and plasma samples, collected from lung cancer patients were observed in comparison to individuals without lung cancer symptoms (controls). Principal component analysis (PCA) of FTIR spectra showed plasma and serum samples collected from lung cancer patients and individuals without lung cancer symptoms were better differentiated in fingerprinting region (from 800 to 1800 cm− 1) when compared to lipid region (2800–3000 cm− 1). Moreover, also sensitivity specificity and accuracy calculated by logistic regression (LR) and receive operating characteristic (ROC) showed higher values for fingerprint range (800–1800 cm− 1) in comparison with lipids (2800–3000 cm− 1) one for both, serum and plasma. However, using these methods differences between serum and plasma were not existed. From the all obtained results, it was visible, that both fluids could be used in detected lung cancer using FTIR. Moreover, it was also showed that fingerprint range gave a better distinction between the studied patient groups than the lipid range. This was noticeable for both serum and plasma. [ABSTRACT FROM AUTHOR]

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Deep-time (=pre-Quaternary) maar lakes and certain other, hydrologically deep volcanogenic lakes, are often excellent Konservat-Lagerstätten representing unique windows into past biota and ecosystems. Many deposits from such lakes contain animal and plant remains in extraordinary preservation, often with soft tissues or fine morphological and anatomical details preserved. Such Lagerstätten have the potential to provide in-depth information on a variety of organisms, which is important for understanding their biology and ecology, their evolution and palaeobiogeography, but also for elucidating entire ecosystems with their numerous biotic and abiotic interactions. The formation of such Lagerstätten is intimately linked to volcanic processes, amongst which phreatomagmatic explosions that formed maar-diatreme volcanoes are probably the most important, but also other volcanic processes can lead to the formation of deep volcanogenic lakes (e.g. in certain calderas). Maar lakes and other volcanogenic Konservat-Lagerstätten occur in a large number of volcanically active regions worldwide, although older deposits are often difficult to access as they are more likely to be eroded or covered by younger deposits. The accessibility of many of the better-known localities is often connected to the mining of natural resources, ranging from diamonds, to volcanic rocks such as basalts to the lacustrine sediments that may have filled volcanic craters, including diatomites and 'oil-shales'. Most or even all of the maar and other volcanogenic lakes presented here in greater detail, can be considered as important geoheritage sites. Although currently some of these deposits have at least some kind of legal protection as monuments of natural heritage, others remain in danger of being exploited commercially for natural resources and hence, ultimately destroyed. Moreover, many scientific questions related to these ancient lakes and their biota covered here in more detail, as well as those related to lakes only briefly mentioned in passing, have not been posed, let alone answered. This makes maar lakes and other volcanogenic lakes important resources for present-day and future research. The present contribution should be seen as a global call to scientists to find further localities that represent similar volcanogenic lacustrine settings, as they may be the source of vital and surprising new information about the plants, animals, and environments of the past. Examples of pre-Quaternary maar and other volcanogenic lakes that are presented here in greater detail include the following localities: Paleocene: Menat (France); Eocene: Messel, Eckfeld (Germany), Mahenge (Tanzania); Oligocene: Enspel, Rott, Hammerunterwiesenthal, Baruth, Kleinsaubernitz (Germany); Miocene: Foulden Maar, Hindon Maar Complex (New Zealand), Randeck Maar, Hirnkopf-Maar, Höwenegg, Öhningen (Germany); Pliocene: Ruppach-Goldhausen (Germany), Camp dels Ninots (Spain). [ABSTRACT FROM AUTHOR]

The Messel Pit is a Konservat-Lagerstätte in Germany, representing the deposits of a latest early to earliest middle Eocene maar lake, and one of the first palaeontological sites to be included on the list of UNESCO World Heritage Sites. One aspect of Messel that makes it so extraordinary is that its sediments are rich in different fossilised organisms – microfossils, plants, fungi, invertebrate animals and vertebrates – that are rarely preserved together. We present an updated list of all taxa, named or not, that have been documented at Messel, comprising 1409 taxa, which represent a smaller but inexactly known number of biological species. The taxonomic list of Labandeira and Dunne (2014) contains serious deficiencies and should not be used uncritically. Furthermore, we compiled specimen lists of all Messel amphibians, reptiles and mammals known to us. In all, our analyses incorporate data from 32 public collections and some 20 private collections. We apply modern biodiversity-theoretic techniques to ascertain how species richness tracks sampling, to estimate what is the minimum asymptotic species richness, and to project how long it will take to sample a given proportion of that minimum richness. Plant and insect diversity is currently less well investigated than vertebrate diversity. Completeness of sampling in aquatic and semiaquatic, followed by volant, vertebrates is higher than in terrestrial vertebrates. Current excavation rates are one-half to two-thirds lower than in the recent past, leading to much higher estimates of the future excavation effort required to sample species richness more completely, should these rates be maintained. Species richness at Messel, which represents a lake within a paratropical forest near the end of the Early Eocene Climate Optimum, was generally higher than in comparable parts of Central Europe today but lower than in present-day Neotropical biotopes. There is no evidence that the Eocene Messel ecosystem was a "tropical rainforest." [ABSTRACT FROM AUTHOR]

The Messel Pit is an ancient maar lake that preserves an ecosystem from the last greenhouse phase of Earth's climate with exceptional fidelity. There are two main competing hypotheses to explain the occurrence of animal fossils at Messel: asphyxiation in layers of heavy, toxic gases like carbon dioxide, and death following ingestion of surface water contaminated by cyanobacterial toxins. Both hypotheses imply mortality much higher than the null hypothesis of accidental death, for instance by drowning. We tested these hypotheses amongst bats by recourse to a unique survey on bats that drowned in modern swimming pools. We further conducted experiments on the fate of fresh bat carcasses that simulate drowning. Finally, we estimated the annual rate of bat fossil production at Messel. Overall, there are few good surveyed predictors of whether bats drown in swimming pools: most physical parameters like pool size or the height and distance of obstructions were not associated with mortality, although pool liner type would be a good candidate parameter for future study. In our experiments, carcasses with water-filled lungs tend to sink more quickly than those with air-filled lungs; all carcasses that initially sink "bloat and float" at shallow depths, but all floaters eventually disarticulate and sink within days to weeks. Our estimates of annual bat mortality at Palaeolake Messel are of the same order of magnitude as mortality in swimming pools. Mass mortality horizons for vertebrates are very rare at Messel. In sum, our quantitative analyses provide no evidence that bat mortality at Messel rises above background levels. [ABSTRACT FROM AUTHOR]

Our objective was to determine the role of acetyl-Hsp90 and its relationship with the NF-κB p65 signaling pathway in CVDs. We investigated the effect of acetyl-Hsp90 on cardiac inflammation and apoptosis after ischemia–reperfusion injury (I/RI). The results showed that the induction of acetyl-Hsp90 occurred in the heart during I/R and in primary cardiomyocytes during oxygen–glucose deprivation/reoxygenation (OGD/R). Moreover, the nonacetylated mutant of Hsp90 (Hsp90-K284R), through the regulation of ATPase activities within its N-terminal domain (NTD), indirectly or directly increases its interaction with NF-κB p65. This led to a reduction in the activation of the NF-κB p65 pathway, thereby attenuating inflammation, apoptosis, and fibrosis, ultimately leading to an improvement in cardiac function. Furthermore, we demonstrated that recombinant human interleukin-37 (rIL-37) exerts a similar cardioprotective effect by reducing acetylation at K284 of Hsp90 after inhibiting the expression of KAT2A. Hsp90 is acetylated by KAT and can be deacetylated by KDAC, which is in balance in the steady state. Moreover, Hsp90 interacts with NF-κB p65 in the cytosol and inhibits p65 translocation into the nucleus. However, Hsp90-K284 can be acetylated by KAT2A after ischemia–reperfusion treatment. Subsequently, the protein–protein interaction between Hsp90 and NF-κB p65 was disturbed, which induced NF-κB p65 to translocate into the nucleus. However, rIL-37 disturbs this phenotype by inhibiting KAT2A activity. [ABSTRACT FROM AUTHOR]

This study conducts a detailed analysis of population mobility during the COVID-19 pandemic, utilizing a unique approach that contrasts two types of mobile phone data: GPS-based and cell-based. The primary objective is to evaluate the effects of governmental restrictions on a variety of activities including school attendance, work, shopping, and leisure. We compare both data sets by using a set of defined criteria, including anticipated activity reductions during full and partial closures, as well as the timing of activity changes in response to policy implementations. Our research reveals that while cell-based data lacks the precision to differentiate between various out-of-home activities effectively, GPS-based data, especially when integrated with OpenStreetMap, proves significantly more adept at identifying and categorizing specific activity types. The GPS-based data shows, for example, that school activities fell by more than 80% while work activities were only reduced by around 50%. [ABSTRACT FROM AUTHOR]

In eukaryotes, the leading strand DNA is synthesized by Polε and the lagging strand by Polδ. These replicative polymerases have higher processivity when paired with the DNA clamp PCNA. While the structure of the yeast Polε catalytic domain has been determined, how Polε interacts with PCNA is unknown in any eukaryote, human or yeast. Here we report two cryo-EM structures of human Polε–PCNA–DNA complex, one in an incoming nucleotide bound state and the other in a nucleotide exchange state. The structures reveal an unexpected three-point interface between the Polε catalytic domain and PCNA, with the conserved PIP (PCNA interacting peptide)-motif, the unique P-domain, and the thumb domain each interacting with a different protomer of the PCNA trimer. We propose that the multi-point interface prevents other PIP-containing factors from recruiting to PCNA while PCNA functions with Polε. Comparison of the two states reveals that the finger domain pivots around the [4Fe-4S] cluster-containing tip of the P-domain to regulate nucleotide exchange and incoming nucleotide binding. In eukaryotes, the leading strand DNA polymerase Polε synthesises the DNA with higher processivity when in complex with the DNA clamp PCNA. Here, the authors report two cryo-EM structures of human Polε bound to the PCNA clamp and a DNA substate, revealing the conformational changes associated with incoming nucleotide binding. [ABSTRACT FROM AUTHOR]

The development of photocatalysts must be meticulous, especially when they are designed to degrade hazardous dyes that cause mutagenesis and carcinogenesis. In this meticulous approach, Ni-based metal–organic frameworks with different ligands, including terephthalic acid (NTP), 2-aminoterephthalic acid (NATP), and their composite with g-C3N4 (NTP/GCN, and NATP/GCN) have been synthesized using hydrothermal method. Structural analysis by XRD and ATR-IR revealed synergistic properties due to robust chemical interactions between the NATP-MOFs and GCN systems. A flower-like morphology was observed for both NTP and NATP, while their composites showed mixed-particulate structures mimicking the morphology of GCN. Optical analyses indicated visible-light driven properties with modulated recombination resistance in the system. Among the synthesized bare and composite systems, NATP/GCN exhibited the highest photocatalytic degradation efficiency for the cationic rhodamine B dye (~ 93% in 120 min), while it was relatively less efficient for the anionic Congo red dye, (~ 64% in 120 min). The insights gained from the fundamental characterizations including Mott–Schottky, scavenger, and electrochemical impedance analysis revealed that the amino-groups in NATP/GCN composite offered the band edge potentials suitable for the effective generation of energetic radical species with the improved carrier delocalization, recombination resistance, and charge transfer properties in the composite system through Z-scheme formation. Parametric investigations by varying the concentration of catalyst, dye, and pH along with recycle studies, demonstrated the excellent stability of the developed composites for sustainable photocatalytic applications. [ABSTRACT FROM AUTHOR]

In European studies, the most used definition of Urban Green Spaces (UGS) is based on the European Urban Atlas, which includes public green areas primarily used for recreation and green areas adjacent to urban areas that are managed or utilized for recreational purposes. UGS play a vital role in creating sustainable and resilient cities, as they provide essential social benefits for the well-being and health of urban residents. Both planners and scientists acknowledge the importance of involving, actively or passively, citizens in defining criteria for designing and managing inclusive and functional UGS. According to a post-normal science approach, the integration of hard data from scientific sources with soft data gathered from citizens' engagement holds the potential to shape an innovative support system for public policies addressing significant, urgent, and uncertain challenges pertaining to UGS. Nowadays, the abundance of data generated through online reviews, opinions, and comments allows for collecting valuable information about people's opinions and sentiments towards UGS. This study proposes a methodological framework that utilizes emotion detection techniques to identify and analyze citizens' emotions concerning UGS through social reviews. To balance computational costs and classification accuracy, the framework introduces a fuzzy emotion-based classification method called FREDoC (Fuzzy Relevance Emotions Document Classification). This method incorporates a lightweight natural language pro-cessing (NLP) approach to detect and annotate terms associated with specific emotional categories within the text. The framework adopts the psycho-evolutionary classification approach based on R. Plutchik's observations of general emotional responses. This model is implemented within a Geographical Information System (GIS) for the purpose of categorizing UGS, specifically green parks, according both to WHO report key indicators and to the detected relevant emotions. The outcome is a novel classification model of UGS that can assist decision-makers in identifying the attractiveness of UGS as catalysts for urban transformation processes. [ABSTRACT FROM AUTHOR]

Electroencephalography-based (EEG) microstate analysis is a promising and widely studied method in which spontaneous cerebral activity is segmented into sub second level quasi-stable states and analyzed. Currently it is being widely explored due to increasing evidence of the association of microstates with cognitive functioning and large-scale brain networks identified by functional magnetic resonance imaging (fMRI). In our study using the four archetypal microstates (A, B, C and D), we investigated the changes in resting state EEG microstate dynamics in persons with temporal lobe epilepsy (TLE) and idiopathic generalized epilepsy (IGE) compared to healthy controls (HC). Machine learning was applied to study its feasibility in differentiating between different groups using microstate statistics. We found significant differences in all parameters related to Microstate D (fronto-parietal network) in TLE patients and Microstate B (visual processing) in IGE patients compared to HCs. Occurrence, duration and time coverage of Microstate B was highest in IGE when compared to the other groups. We also found significant deviations in transition probabilities for both epilepsy groups, particularly into Microstate C (salience network) in IGE. Classification accuracy into clinical groups was found to exceed 70% using microstate parameters which improved on incorporating neuropsychological test differences. To the best of our knowledge, the current study is the first to compare and validate the use of microstate features to discriminate between two disparate epilepsy syndromes (TLE, IGE) and HCs using machine learning suggesting that resting state EEG microstates can be used for endophenotyping and to study resting state dysfunction in epilepsy. [ABSTRACT FROM AUTHOR]

Graph-theory-based topological impairment of the whole-brain network has been verified to be one of the characteristics of mild cognitive impairment (MCI). However, two major challenges impede the further understanding of topological features for the personalized functional connectivity network of early Parkinson's disease (ePD) with MCI. The uncertain of characteristic frequency band reflecting the abnormality of ePD-MCI and the setting of fixed length of sliding window at a second level in the construction of conventional brain network both limit a deeper exploration of network characteristics for ePD-MCI. Thus, a convolutional neural network is constructed first and the gradient-weighted class activation mapping method is used to determine the characteristic frequency band of the ePD-MCI. It is found that 1–4 Hz is a characteristic frequency band for recognizing MCI in ePD. Then, we propose a microstate window construction method based on electroencephalography microstate sequences to build brain functional network. By exploring the graph-theory-based topological features and their clinical correlations with cognitive impairment, it is shown that the clustering coefficient, global efficiency, and local efficiency of the occipital lobe significantly decrease in ePD-MCI, which reflects the low degree of nodes interconnection, low efficiency of parallel information transmission and low communication efficiency among the nodes in the brain network of the occipital lobe may be the neural marker of ePD-MCI. The finding of personalized topological impairments of the brain network may be a potential characteristic of early PD-MCI. [ABSTRACT FROM AUTHOR]

WingAnalogy is a computer tool for automated insect wing morphology and asymmetry analysis. It facilitates project management, enabling users to import pairs of wing images obtained from individual insects, such as left and right, fore- and hindwings. WingAnalogy employs image processing and computer vision to segment wing structures and extract cell boundaries, and junctions. It quantifies essential metrics encompassing cell and wing characteristics, including area, length, width, circularity, and centroid positions. It enables users to scale and superimpose wing images utilizing Particle Swarm Optimization (PSO). WingAnalogy computes regression, Normalized Root Mean Square Error (NRMSE), various cell-based parameters, and distances between cell centroids and junctions. The software generates informative visualizations, aiding researchers in comprehending and interpreting asymmetry patterns. WingAnalogy allows for dividing wings into up to five distinct wing cell sets, facilitating localized comparisons. The software excels in report generation, providing detailed asymmetry measurements in PDF, CSV, and TXT formats. [ABSTRACT FROM AUTHOR]

Background: Fungicides are an effective tool for protecting crops and maintaining a steady food supply. However, as pathogens continue to evolve, it is crucial to prolong the effectiveness of fungicides by delaying resistance development. A key strategy to achieving this is to combine or rotate fungicides with different modes of action. As fungicides lack specificity, they inevitably affect both pathogenic and non-pathogenic fungi when surrounding environments are unintentionally contaminated. Our study aims to investigate the effects of recommended application methods to prevent resistance development, specifically repeated-single fungicide, simultaneous mixture, and sequential applications on non-target soil fungi, and the subsequent impacts on important soil processes. We used fungicides with different modes of action on soil microcosms inoculated with fungi at varying levels of diversity (3, 5, and 8 species) isolated from a protected grassland. Results: We found that repeated treatments of individual isopyrazam and prothioconazole differentially inhibited fungal activity. Although mixture applications are considered more protectant against crop pathogen resistance than repeated application, our study revealed stronger negative effects of simultaneous application on saprobic fungi and consequently on soil processes. However, contrary to expectations, higher fungal diversity did not translate to improved soil function under these conditions. Conclusions: The simultaneous application of fungicides with different modes of action (MoA) has more pronounced non-target effects on soil compared to the individual or sequential application of fungicides. These non-target effects extend beyond the intended control of pathogenic fungi, impacting saprobic and beneficial soil microbes and the critical processes they drive. When fungicides are applied concurrently, microbial activities in the soil are significantly altered, even in soils with high microbial diversity. Our study emphasizes the importance of carefully considering the unintended consequences of fungicide use in agriculture. As we strive for a secure food supply, it is crucial to investigate the broader environmental impacts of these chemical interventions, including their effects on non-pathogenic fungi and overall soil health. [ABSTRACT FROM AUTHOR]

Among methacrylic acid-based gel dosimeters, the MAGAT hydrogel stands out for its tissue equivalence, making it a promising candidate for clinical applications. The incorporation of methylene blue (MB) or zinc oxide nanoparticles (ZnO NPs) into MAGAT hydrogel aims to improve its formulation, enhance dose absorption and facilitate detailed 3D dose verification. The optimization of MB and ZnO NPs has not yet been investigated with polymer gel before. We studied MAGAT hydrogel dosimeters with varying MB concentrations (0.001, 0.002, 0.003, 0.01, 0.02, and 0.03% w/w) and ZnO NPs concentrations (0.03–0.07% w/w), using a double-beam spectrophotometer for optical measurements. Our findings identified the optimal MB concentration in the MAGAT + MB formulation at 0.001% w/w, achieving a sensitivity of 0.0285 a.u./Gy and an accuracy of 0.9995. For the MAGAT + MB + ZnO NPs formulation, the optimal ZnO NPs concentration was 0.07% w/w, with a sensitivity of 0.03106 a.u./Gy and an accuracy of 0.9945. The absorbance peaks for both optimum formulations of (MAGAT + MB) and (MAGAT + MB + ZnO NPs) were observed at a wavelength of 665 and 668 nm, respectively. These advancements promise to reduce monitor units, ensure precise dose delivery, shorten treatment times, and minimize treatment errors. [ABSTRACT FROM AUTHOR]

Objective: To assess rates of traversing barriers to care to access optimal clinical outcomes in people with migraine internationally. Background: People in need of medical care for migraine should consult a health care professional knowledgeable in migraine management, obtain an accurate diagnosis, and receive an individualized treatment plan, which includes scientific society guideline-recommended treatments where appropriate. Methods: The Chronic Migraine Epidemiology and Outcomes-International (CaMEO-I) Study was a cross-sectional, web-based survey conducted from July 2021 through March 2022 in Canada, France, Germany, Japan, the United Kingdom, and the United States (US). Respondents who met modified International Classification of Headache Disorders, 3rd edition, criteria for migraine and had Migraine Disability Assessment Scale (MIDAS) scores of ≥ 6 (i.e., mild, moderate, or severe disability) were deemed to need medical care and were included in this analysis. Minimally effective treatment required that participants were currently consulting a health care professional for headache (barrier 1), reported an accurate diagnosis (barrier 2), and reported use of minimally appropriate pharmacologic treatment (barrier 3; based on American Headache Society 2021 Consensus Statement recommendations). Proportions of respondents who successfully traversed each barrier were calculated, and chi-square tests were used to assess overall difference among countries. Results: Among 14,492 respondents with migraine, 8,330 had MIDAS scores of ≥ 6, were deemed in need of medical care, and were included in this analysis. Current headache consultation was reported by 35.1% (2926/8330) of respondents. Compared with the US, consultation rates and diagnosis rates were statistically significantly lower in all other countries except France where they were statistically significantly higher. Total appropriate treatment rates were also statistically significantly lower in all other countries compared with the US except France, which did not differ from the US. All 3 barriers were traversed by only 11.5% (955/8330) of respondents, with differences among countries (P < 0.001). Conclusions: Of people with migraine in need of medical care for migraine, less than 15% traverse all 3 barriers to care. Although rates of consultation, diagnosis, and treatment differed among countries, improvements are needed in all countries studied to reduce the global burden of migraine. Trial registration: NA. [ABSTRACT FROM AUTHOR]

In this paper, a numerical study is conducted to optimize the double-panel structure with a locally resonant sonic crystal for the band reduction of the low-frequency sound transmission. Recently, we proposed one type of sonic crystal with slots elongated into the cylindrical shells, namely, the slot-type Helmholtz resonator array. The results indicated that it had the potential to form and broaden the low-frequency band gap. First, the ranges of the slot length and width are determined to form the resonant peak in a given frequency range using the finite element simulation. Next, the optimizations using the Monte Carlo method are performed for the incidences of the plane waves with a uniform and non-uniform spectral densities. It is found that the weighted single-objective optimization proposed can bring out the improvement of the overall sound insulation (10.5 dBA in our case) as well as the elimination of the transmission peaks. [ABSTRACT FROM AUTHOR]

Physical neural networks are artificial neural networks that mimic synapses and neurons using physical systems or materials. These networks harness the distinctive characteristics of physical systems to carry out computations effectively, potentially surpassing the constraints of conventional digital neural networks. A recent advancement known as “physical self-learning” aims to achieve learning through intrinsic physical processes rather than relying on external computations. This article offers a comprehensive review of the progress made in implementing physical self-learning across various physical systems. Prevailing learning strategies that contribute to the realization of physical self-learning are discussed. Despite challenges in understanding the fundamental mechanism of learning, this work highlights the progress towards constructing intelligent hardware from the ground up, incorporating embedded self-organizing and self-adaptive dynamics in physical systems. [ABSTRACT FROM AUTHOR]

Background: Reoperation following aortic root replacement is associated with significantly high operative mortality. Etiologies related to infection are known to increase the operative mortality rate more than other etiologies. In such a clinical setting, a sutureless valve could lower the operative mortality by shortening the cardiac arrest and the operative time. Case presentation: A 61-year-old male underwent emergent aortic root and total arch replacement with an open stent graft for acute type-A aortic dissection. A bioprosthetic valve was employed for aortic root replacement using the double-sewing ring technique. A fungal infection by Candida parapsilosis was postoperatively detected and improved with intravenous antifungal drug administration. However, he developed congestive heart failure one year later, and the blood cultures turned positive repeatedly for Candida parapsilosis. The prosthetic valve infection was suspected upon identifying vegetation on the bioprosthetic valve through transthoracic echocardiography. The computed tomography scan and operative findings confirmed that the infection was localized on the prosthetic valve. Consequently, the infected valve was removed without a vascular conduit, and a sutureless valve was implanted. The postoperative course was uneventful, without any evidence of recurrent fungal infection, and the patient was discharged on postoperative day 28. Conclusions: Deploying a sutureless valve can facilitate a more straightforward and minimally invasive redo procedure. Preoperative computed tomography can predict the valve size, which is the key to implanting a sutureless valve successfully after the modified Bentall procedure. [ABSTRACT FROM AUTHOR]

People often change their evaluations upon learning about their peers' evaluations, i.e., social learning. Given sleep's vital role in consolidating daytime experiences, sleep may facilitate social learning, thereby further changing people's evaluations. Combining a social learning task and the sleep-based targeted memory reactivation technique, we asked whether social learning-induced evaluation updating can be modulated during sleep. After participants had indicated their initial evaluation of snacks, they learned about their peers' evaluations while hearing the snacks' spoken names. During the post-learning non-rapid-eye-movement sleep, we re-played half of the snack names (i.e., cued snack) to reactivate the associated peers' evaluations. Upon waking up, we found that the social learning-induced evaluation updating further enlarged for both cued and uncued snacks. Examining sleep electroencephalogram (EEG) activity revealed that cue-elicited delta-theta EEG power and the overnight N2 sleep spindle density predicted post-sleep evaluation updating for cued but not for uncued snacks. These findings underscore the role of sleep-mediated memory reactivation and the associated neural activity in supporting social learning-induced evaluation updating. [ABSTRACT FROM AUTHOR]

Social interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a powerful tool for both examining socio-affective states (e.g., processing whether someone is in need in a given situation) and identifying the sources of heterogeneity in socio-affective traits (e.g., general willingness to help others). EEG microstates are identified by analyzing scalp field maps (i.e., the distribution of the electrical field on the scalp) over time. This data-driven, reference-independent approach allows for identifying, timing, sequencing, and quantifying the activation of large-scale brain networks relevant to our socio-affective mind. In light of these benefits, EEG microstates should become an indispensable part of the methodological toolkit of laboratories working in the field of social and affective neuroscience. [ABSTRACT FROM AUTHOR]

The use of neutron methods in environmental and biological sciences is rapidly emerging and accelerating with the development of new instruments at neutron user facilities. This article, based on a workshop held at Oak Ridge National Laboratory (ORNL), offers insights into the application of neutron techniques in environmental and biological sciences. We highlight recent advances and identify key challenges and potential future research areas. These include soil and rhizosphere processes, root water dynamics, plant-microbe interactions, structure and dynamics of biological systems, applications in synthetic biology and enzyme engineering, next-generation bioproducts, biomaterials and bioenergy, nanoscale structure, and fluid dynamics of porous materials in geochemistry. We provide an outlook on emerging opportunities with an emphasis on new capabilities that will be enabled at the Spallation Neutron Source Second Target Station currently under design at ORNL. The mission of scientific neutron user facilities worldwide is to enable science using state-of-the-art neutron capabilities. We aim to encourage researchers in the environmental and biological research community to explore the unique capability afforded by neutrons at these facilities. [ABSTRACT FROM AUTHOR]

Psychiatric inpatients often endure anxiety. This randomized trial assessed the impact of horticultural therapy on anxiety in adult psychiatric inpatients over four weeks, compared to standard care. Recruiting 211 inpatients from six units were randomized into control (n = 105) and experimental (n = 106) groups. Control received usual care; the experimental group had horticultural therapy alongside usual care. Anxiety, measured using HADS-A scale at four weeks, aimed to establish horticultural therapy's superiority. After four weeks, horticultural therapy significantly reduced anxiety compared to standard care (P < 0.001). These results argue in favor of integrating horticultural therapy into psychiatric nursing practices. Trial registration: No Clinical Trail: NCT02666339 (1st registration: 28/01/2016). [ABSTRACT FROM AUTHOR]

Memory consolidation relies in part on the reactivation of previous experiences during sleep. The precise interplay of sleep-related oscillations (slow oscillations, spindles and ripples) is thought to coordinate the information flow between relevant brain areas, with ripples mediating memory reactivation. However, in humans empirical evidence for a role of ripples in memory reactivation is lacking. Here, we investigated the relevance of sleep oscillations and specifically ripples for memory reactivation during human sleep using targeted memory reactivation. Intracranial electrophysiology in epilepsy patients and scalp EEG in healthy participants revealed that elevated levels of slow oscillation - spindle activity coincided with the read-out of experimentally induced memory reactivation. Importantly, spindle-locked ripples recorded intracranially from the medial temporal lobe were found to be correlated with the identification of memory reactivation during non-rapid eye movement sleep. Our findings establish ripples as key-oscillation for sleep-related memory reactivation in humans and emphasize the importance of the coordinated interplay of the cardinal sleep oscillations. Whether and how spindle-locked ripples contribute to memory consolidation by mediating memory reactivation in humans is not fully understood. The authors show that ripples in the human medial temporal lobe are associated with memory reactivation, establishing them as key factor in sleep-based memory re-processing. [ABSTRACT FROM AUTHOR]

Genome organization is thought to underlie cell type specific gene expression, yet how it is regulated in progenitors to produce cellular diversity is unknown. In Drosophila, a developmentally-timed genome reorganization in neural progenitors terminates competence to produce early-born neurons. These events require downregulation of Distal antenna (Dan), part of the conserved pipsqueak DNA-binding superfamily. Here we find that Dan forms liquid-like condensates with high protein mobility, and whose size and subnuclear distribution are balanced with its DNA-binding. Further, we identify a LARKS domain, a structural motif associated with condensate-forming proteins. Deleting just 13 amino acids from LARKS abrogates Dan's ability to retain the early-born neural fate gene, hunchback, in the neuroblast nuclear interior and maintain competence in vivo. Conversely, domain-swapping with LARKS from known phase-separating proteins rescues Dan's effects on competence. Together, we provide in vivo evidence for condensate formation and the regulation of progenitor nuclear architecture underlying neuronal diversification. The genome is actively organized in progenitors to regulate their capacity to produce different cell types. Here, the authors show that a nuclear architecture protein forms condensates and controls the physical location of the genomic locus of a key competence transcription factor. [ABSTRACT FROM AUTHOR]

The role of higher education institutions (HEIs) in promoting and supporting sustainability has outstretched over the past decades as a result of various declarations and commitments related to the need for sustainability in HEI. As a consequence, HEIs tried to achieve campus sustainability by integrating sustainability concept into their projects, partnerships, assessments, programs, curricula, and research. Accordingly, achieving campus sustainability is not feasible without the involvement of students as the biggest stakeholders of HEI. The students have a substantial impact on sustainability by contributing to and supporting campus sustainability. This research aims to compare and analyse the attitudes of students towards campus sustainability in relation to the influence of the university. The research is conducted at three universities in Sweden, which have different environmental management system certification status. A questionnaire-based survey is employed to collect the data from students at these three universities. It aims to investigate the university's efforts to support sustainability and students' awareness towards those efforts and also to measure students' attitudes towards campus sustainability. The (one-way) analysis of variance is then used to investigate whether there is any difference (statistically) among the means of students' attitudes at these three universities. The result shows that there is a statistically significant difference in these universities. Analysis and discussion are also provided to identify the reasons behind the result. [ABSTRACT FROM AUTHOR]

Globodera rostochiensis (Woll.) and Globodera pallida (Stone), two potato cyst nematodes (PCNs), are significant pests worldwide. The first PCNs from North Himalayan regions of India were detected in 2010 in Shimla, Himachal Pradesh (HP). Despite a domestic quarantine, succeeding surveys in the mountainous regions of North India have shown the presence of PCNs in numerous districts of HP, Jammu and Kashmir and Uttarakhand. The seed plot technique is utilized in North Himalayan regions of India to create virus-free seed and the state agricultural departments distribute it to farmers in other parts of the nation. Therefore, the entire nation should be concerned about the emergence of such a significant potato seed location as the primary sites for large PCN populations. Inorganic pesticide based nematode management is an effectual way to address this biotic stress but improper use of chemicals can have a negative impact on the environment. Therefore, the farming community must prefer the employment of potential biocontrol agents, this might aid in fending off regulatory and environmental pressure. Plant growth-promoting rhizobacteria (PGPR) enabled control of PCNs can be environmentally benign. In light of this, we undertook an extensive and thorough review of the available literature pertaining to PGPRs. Our analysis uncovered that PGPRs can greatly assist in enhancing plant resilience to various stressors that can impede their growth and yield. However, achieving these benefits will require successful development and commercialization efforts. Furthermore, before PGPRs can be widely employed, it is crucial to tackle the challenges related to their selectivity and restricted range of activity. [ABSTRACT FROM AUTHOR]

Introduction: The ObserVational survey of the Epidemiology, tReatment and Care Of MigrainE (OVERCOME) European Union (EU) is part of an overarching population-based study program that also includes the United States and Japan. Here, we report data on the migraine/severe headache burden and the use of acute medication and healthcare resources in Spain and Germany. Methods: OVERCOME (EU) was an online, non-interventional, cross-sectional survey conducted in adults in Spain and Germany between October 2020 and February 2021. A total migraine cohort was established based on health survey participants who reported headache/migraine in the last 12 months AND identified as having migraine based on modified International Classification of Headache Disorders, third edition criteria OR self-reported physician diagnosis. Data were analyzed for the total migraine cohort and the subcohort with moderate to severe headache attacks, with average pain severity ≥ 5 points, pain duration ≥ 4 h, and at least moderate disability due to migraine [Migraine Disability Assessment (MIDAS) score ≥ 11] over the past 3 months. Results: Pain of moderate or severe intensity was the most frequent symptom in the total migraine cohort (n = 19,103/20,756; 92.0%). Proportions of participants reporting severe disability (MIDAS Grade IV), poorer quality of life (QoL; Migraine-Specific QoL Questionnaire), and higher interictal burden (Migraine Interictal Burden Scale-4), generally increased with number of headache days (HDs)/month. Most participants (92.5%) reported current acute migraine/severe headache medication use, although only 39.0% were using triptans. In the moderate to severe attacks subcohort (n = 5547), 48.4% were using triptans, with nonsteroidal anti-inflammatory drugs the most common acute medication. The moderate to severe attacks subcohort also reported poorer QoL and greater pain and disability with increasing HDs/month, although severe interictal burden was reported for ~ 60% of participants regardless of HDs/month. Treatment satisfaction (six-item migraine Treatment Optimization Questionnaire) in those using triptans was generally poor in both total and subcohorts. Conclusion: High migraine-related burden levels were reported, despite use of acute medication. Although triptans are recommended for moderate to severe migraine attacks in Spanish and German guidelines, less than half of participants were using triptans; treatment satisfaction in those using triptans was generally poor. New tailored treatment options may help address unmet needs in current acute treatment. [ABSTRACT FROM AUTHOR]

Innovation and the promotion of entrepreneurship are requirements of the transition towards knowledge-based economies. Universities are assigned a key role in advancing entrepreneurship through the restructuring of teaching, research, and governance with an emphasis on innovation and sustainability. In the Gulf region, universities are increasingly adopting reforms aimed at redefining their missions towards entrepreneurial education. This study examines the impact of university-based innovation and entrepreneurial models on progressing towards knowledge-based economies, with Qatar University serving as a case study. It qualitatively assesses recent university reforms and contextualizes these reforms within limitations in the national context and the political economy of the rentier states in the Gulf. The findings suggest that for Gulf region universities to effectively become entrepreneurial and support sustainable development, they must cultivate an entrepreneurial culture and mindset. This requires structural and cultural shifts that resonate with national context, institutional values, and the global sustainability goals. The study indicates that a top-down approach to developing entrepreneurial universities is less effective. It advocates for policies and incentives that motivate universities to become entrepreneurial. Ultimately, the study's insights aim to guide policymaking to develop knowledge economy frameworks in Qatar towards a sustainable future. [ABSTRACT FROM AUTHOR]

To reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of these disorders. In the systematic search, twelve studies investigating EEG microstate changes in participants with mood and anxiety disorders and individuals with subclinical depression were included in this meta-analysis, adding up to 787 participants. The results suggest that EEG microstates consistently discriminate mood and anxiety impairments from the general population in patients and subclinical states. Specifically, we found a small significant effect size for B microstates in patients compared to healthy controls, with larger effect sizes for increased B presence in unmedicated patients with comorbidity. In a subgroup meta-analysis of ten mood disorder studies, microstate D showed a significant effect size for decreased presence. When investigating only the two anxiety disorder studies, we found a significantly small effect size for the increased microstate A and a medium effect size for decreased microstate E (one study). However, more studies are needed to elucidate whether these findings are diagnostic-specific markers. Results are discussed in relation to the functional meaning of microstates and possible contribution to an explanatory mechanism of overlapping symptomatology of mood and anxiety disorders. [ABSTRACT FROM AUTHOR]

The aim of this study was to provide preliminary evidence on temporal dynamics of resting-state brain networks in youth with anorexia nervosa (AN) using electroencephalography (EEG). Resting-state EEG data were collected in 18 young women with AN and 18 healthy controls (HC). Between-group differences in brain networks were assessed using microstates analyses. Five microstates were identified across all subjects (A, B, C, D, E). Using a single set of maps representative of the whole dataset, group differences were identified for microstates A, C, and E. A common-for-all template revealed a relatively high degree of consistency in results for reduced time coverage of microstate C, but also an increased presence of microstate class E. AN and HC had different microstate transition probabilities, largely involving microstate A. Using LORETA, for microstate D, we found that those with AN had augmented activations in the left frontal inferior operculum, left insula, and bilateral paracentral lobule, compared with HC. For microstate E, AN had augmented activations in the para-hippocampal gyrus, caudate, pallidum, cerebellum, and cerebellar vermis. Our findings suggest altered microstates in young women with AN associated with integration of sensory and bodily signals, monitoring of internal/external mental states, and self-referential processes. Future research should examine how EEG-derived microstates could be applied to develop diagnostic and prognostic models of AN. [ABSTRACT FROM AUTHOR]

The steel–concrete interface (SCI) is known to play a major role in corrosion of steel in concrete, but a fundamental understanding is still lacking. One reason is that concrete’s opacity complicates the study of internal processes. Here, we report on the application of bimodal X-ray and neutron microtomography as in-situ imaging techniques to elucidate the mechanism of steel corrosion in concrete. The study demonstrates that the segmentation of the specimen components of relevance—steel, cementitious matrix, aggregates, voids, corrosion products—obtained through bimodal X-ray and neutron imaging is more reliable than that based on the results of each of the two techniques separately. Further, we suggest the combination of tomographic in-situ imaging with ex-situ SEM analysis of targeted sections, selected based on the segmented tomograms. These in-situ and ex-situ characterization techniques were applied to study localized corrosion in a very early stage under laboratory chloride-exposure conditions, using reinforced concrete cores retrieved from a concrete bridge. Several interesting observations were made. First, the acquired images revealed the formation of several corrosion sites close to each other. Second, the morphology of the corrosion pits was relatively shallow. Finally, only about half of the total 31 corrosion initiation spots were in close proximity to interfacial macroscopic air voids, and > 90% of the more than 160 interfacial macroscopic air voids were free from corrosion. The findings have implications for the mechanistic understanding of corrosion of steel in concrete and suggest that multimodal in-situ imaging is a valuable technique for further related studies. [ABSTRACT FROM AUTHOR]

Sexual selection is a driving force behind the evolution of insect genitalia morphology. Understanding the functional morphologies of mating-related structures can help explain the evolution of diverse genital morphologies. However, this research is limited to many insect groups, such as the Cerambycidae. We observed the mating process and morphology of mating-related structures of the longhorn beetle Dorysthenes granulosus (Thomson) (Coleoptera: Cerambycidae: Prioninae). Our observations revealed mating behavior characteristics and the functional morphology of genitalia and leg tarsi. The mating process of D. granulosus can be divided into three stages: mounting, insemination, and guarding. The male usually spends 30 min from mounting to control the female, then extends its endophallus and typically inserts it twice into the female reproductive tract. Each insertion lasts for about 40 s. After that, the male begins a long-time insemination, which lasts for two to three minutes. Then, the male withdraws the endophallus and the female reproductive tract secretes a sperm mass. After insemination, some males continue to mount the female for a postcopulatory guarding period, which can last from one to five hours. During copulation, barbs on the surface of the everted male endophallus directly contact the female reproductive tract. The male fore and mid leg tarsi firmly grasp the female elytra, thorax, and abdomen. We discuss the functional morphologies of mating-related structures and the possible reason for male multiple insertions in the Cerambycidae. [ABSTRACT FROM AUTHOR]

Trait-based frameworks are promising tools to understand the functional consequences of community shifts in response to environmental change. The applicability of these tools to soil microbes is limited by a lack of functional trait data and a focus on categorical traits. To address this gap for an important group of soil microorganisms, we identify trade-offs underlying a fungal economics spectrum based on a large trait collection in 28 saprobic fungal isolates, derived from a common grassland soil and grown in culture plates. In this dataset, ecologically relevant trait variation is best captured by a three-dimensional fungal economics space. The primary explanatory axis represents a dense-fast continuum, resembling dominant life-history trade-offs in other taxa. A second significant axis reflects mycelial flexibility, and a third one carbon acquisition traits. All three axes correlate with traits involved in soil carbon cycling. Since stress tolerance and fundamental niche gradients are primarily related to the dense-fast continuum, traits of the 2nd (carbon-use efficiency) and especially the 3rd (decomposition) orthogonal axes are independent of tested environmental stressors. These findings suggest a fungal economics space which can now be tested at broader scales. Challenges in obtaining empirical trait data hinder the development of trait-based frameworks for soil microbes. Here, the authors analyse traits of saprobic fungal isolates from a grassland site to propose a fungal economics spectrum, suggesting a general trait framework for soil fungi. [ABSTRACT FROM AUTHOR]

Attention as a cognition ability plays a crucial role in perception which helps humans to concentrate on specific objects of the environment while discarding others. In this paper, auditory attention detection (AAD) is investigated using different dynamic features extracted from multichannel electroencephalography (EEG) signals when listeners attend to a target speaker in the presence of a competing talker. To this aim, microstate and recurrence quantification analysis are utilized to extract different types of features that reflect changes in the brain state during cognitive tasks. Then, an optimized feature set is determined by employing the processes of significant feature selection based on classification performance. The classifier model is developed by hybrid sequential learning that employs Gated Recurrent Units (GRU) and Convolutional Neural Network (CNN) into a unified framework for accurate attention detection. The proposed AAD method shows that the selected feature set achieves the most discriminative features for the classification process. Also, it yields the best performance as compared with state-of-the-art AAD approaches from the literature in terms of various measures. The current study is the first to validate the use of microstate and recurrence quantification parameters to differentiate auditory attention using reinforcement learning without access to stimuli. [ABSTRACT FROM AUTHOR]