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Retinol (vitamin A) and α-tocopherol (vitamin E) concentrations were measured in tissue samples (liver, heart, pectoral muscle, and brain) from Anna's Hummingbirds (Calypte anna). Hummingbirds were after-hatch year birds that were sourced from various rehabilitation centers throughout California. Tissues samples were analyzed using high-performance liquid chromatography (HPLC). Minimum, maximum, mean, standard deviation (SD), and median ppm concentrations were calculated for each vitamin and tissue sample type. A novel analytical method was developed to analyze small mass tissue samples, with the smallest sample mass being 0.05 g for which analysis can be performed. Mean ± standard deviation (SD) concentrations of retinol in hummingbird livers, hearts, and pectoral muscle samples were 269.0 ± 216.9 ppm, 1.8 ± 2.2 ppm, and 0.3 ± 0.1 ppm, respectively. Mean ± SD α-tocopherol concentrations were 6.9 ± 4.6 ppm, 5.5 ± 4.0 ppm, 3.7 ± 2.2 ppm, and 9.1 ± 3.2 ppm for liver, heart, pectoral muscle, and brain samples, respectively. Vitamin concentrations from varying tissue types were compared to determine which were best associated with liver concentrations, the most commonly analyzed tissue for these vitamins. For both retinol and α-tocopherol, heart samples were most strongly associated with the liver samples. The results of this study provide baseline retinol and α-tocopherol concentrations in different tissue types from Anna's hummingbirds. These baseline values may be utilized in conservation efforts to avoid hypervitaminosis and hypovitaminosis of rehabilitated and/or captive hummingbirds by providing guidelines for nutritional targets which could be assessed on post-mortem examinations. Post-mortem examination of birds and measurement of vitamin concentrations in tissues may allow for dietary changes that aid captive hummingbirds.

The role of nitrergic system in modulating the action of psychostimulants on reward processing is well established. However, the relevant anatomical underpinnings and scope of the involved interactions with mesolimbic dopaminergic system have not been clarified. Using immunohistochemistry, we track the changes in neuronal nitric oxide synthase (nNOS) containing cell groups in the animals conditioned to intracranial self-stimulation (ICSS) via an electrode implanted in the lateral hypothalamus-medial forebrain bundle (LH-MFB) area. An increase in the nNOS immunoreactivity was noticed in the cells and fibers in the ventral tegmental area (VTA) and nucleus accumbens shell (AcbSh), the primary loci of the reward system. In addition, nNOS was up-regulated in the nucleus accumbens core (AcbC), vertical limb of diagonal band (VDB), locus coeruleus (LC), lateral hypothalamus (LH), superficial gray layer (SuG) of the superior colliculus, and periaqueductal gray (PAG). The brain tissue fragments drawn from these areas showed a change in nNOS mRNA expression, but in opposite direction. Intracerebroventricular (icv) administration of nNOS inhibitor, 7-nitroindazole (7-NI) showed decreased lever press activity in a dose-dependent manner in ICSS task. While an increase in the dopamine (DA) and 3, 4-dihydroxyphenylacetic acid (DOPAC) efflux was noted in the microdialysates collected from the AcbSh of ICSS rats, pre-administration of 7-NI (icv route) attenuated the response. The study identifies nitrergic centers that probably mediate sensory, cognitive, and motor components of the goal-directed behavior., (© 2024 International Society for Neurochemistry.)

The locus coeruleus-norepinephrine (LC-NE) system, which regulates arousal levels, is important for cognitive control, including emotional conflict resolution. Additionally, the LC-NE system is implicated in P300 generation. If the P300 is mediated by the LC-NE system, and considering the established correlations between LC activity and pupil dilation, P300 amplitude should correlate with task-evoked (phasic) pupil dilation on a trial-by-trial basis. However, prior studies, predominantly utilizing oddball-type paradigms, have not demonstrated correlations between concurrently recorded task-evoked pupil dilation and P300 responses. Using a recently developed emotional face-word Stroop task that links pupil dilation to the LC-NE system, here, we examined both intra- and inter-individual correlations between task-evoked pupil dilation and P300 amplitude. We found that lower accuracy, slower reaction times, and larger task-evoked pupil dilation were obtained in the incongruent compared to the congruent condition. Furthermore, we observed intra-individual correlations between task-evoked pupil dilation and P300 amplitude, with larger pupil dilation correlating with a greater P300 amplitude. In contrast, pupil dilation did not exhibit consistent correlations with N450 and N170 amplitudes. Baseline (tonic) pupil size also showed correlations with P300 and N170 amplitudes, with smaller pupil size corresponding to larger amplitude. Moreover, inter-individual differences in task-evoked pupil dilation between the congruent and incongruent conditions correlated with differences in reaction time and P300 amplitude, though these effects only approached significance. To summarize, our study provides evidence for a connection between task-evoked pupil dilation and P300 amplitude at the single-trial level, suggesting the involvement of the LC-NE system in P300 generation., (© 2023 Society for Psychophysiological Research.)

According to the locus coeruleus-norepinephrine (LC-NE) theory, activity of the LC, the major releaser of NE in the brain, regulates inhibitory control. As there is reciprocal communication between circulating epinephrine and the LC, plasma epinephrine is used as the index of LC-NE activity. The aim of this crossover randomized controlled trial is to expand on previous findings by investigating the effects of free-weight, multiple-joint, and structural barbell resistance exercises. Previous studies have had some methodological limitations, such as failure to report the process of randomization, absence of resistance exercise familiarization before the maximal strength testing, and lack of protocol publication. To address these issues, this study incorporates resistance exercise familiarization, transparent reporting of randomization, and submission as a registered report. The results suggest that a single session of resistance exercise (barbell squat, press, and deadlift) with an intensity of 65%-78% 1RM for five repetitions (70%-90% relative intensity) and three sets with 3-min rest intervals improved Stroop congruent reaction time (RT) only (t(27) = -2.663, mean reduction = -15 ms, p = .013, 95% CI [-26, -3]). No significant enhancements were observed in Stroop incongruent RT, inhibitory control as indexed by Stroop effect, or inhibitory control as indexed by the RT difference between the Stroop task and the simple reaction task. Moreover, the alterations in plasma epinephrine levels did not significantly associate with changes in any measure of cognitive performance., (© 2023 Society for Psychophysiological Research.)

Alteration of responses to salient stimuli occurs in a wide range of brain disorders and may be rooted in pathophysiological brain state dynamics. Specifically, tonic and phasic modes of activity in the reticular activating system (RAS) influence, and are influenced by, salient stimuli, respectively. The RAS influences the spectral characteristics of activity in the neocortex, shifting the balance between low- and high-frequency fluctuations. Aperiodic '1/f slope' has emerged as a promising composite measure of these brain state dynamics. However, the relationship of 1/f slope to state-dependent processes, such as saliency, is less explored, particularly intracranially in humans. Here, we record pupil diameter as a measure of brain state and intracranial local field potentials in auditory cortical regions of human patients during an auditory oddball stimulus paradigm. We find that phasic high-gamma band responses in auditory cortical regions exhibit an inverted-u shaped relationship to tonic state, as reflected in the 1/f slope. Furthermore, salient stimuli trigger state changes, as indicated by shifts in the 1/f slope. Taken together, these findings suggest that 1/f slope tracks tonic and phasic arousal state dynamics in the human brain, increasing the interpretability of this metric and supporting it as a potential biomarker in brain disorders. [ABSTRACT FROM AUTHOR]

Background: Vaginal pessaries are a common method of managing pelvic organ prolapse (POP), as well as different types of urinary incontinence, allowing patients to successfully improve overall quality of life. Yet despite their positive attributes, there are several reasons why patients may choose to discontinue using pessaries and proceed with surgery to treat their condition instead. This study aimed to explore patients' experiences of pessary use in treating POP. Methods: Participants completed an online survey regarding pessary use and ideal characteristics of a pessary. Participants were recruited from social media advertisements, online support groups for women's health-related conditions, and pelvic floor clinics. Results: A total of 100 participants were recruited, of which 77 fully completed the survey. The biggest age group of participants was above 65 years, with 48.1% of participants falling into this category, followed by 35–44 years accounting for 20.8% of respondents. Respondents cited pelvic pain (35.2%), excess vaginal discharge and odor (32.4%), as well as difficulty with pessary placement as the most common issues related to pessary use (41.9%). Easy insertion, removal (81.8%), and relief from side effects (81.8%) were the most commonly reported ideal characteristics for pessary use. Conclusion: Patients had important concerns with pessary use and a high number either stopped or were considering stopping even when it improved their POP. Whilst pessaries can help in the management of POP, further improvement is warranted to increase pessary use, such as through the development of user-friendly designs, or applicators to aid with fitting. [ABSTRACT FROM AUTHOR]

The locus coeruleus (LC) produces most of the brain's noradrenaline (NA). Among its many roles, NA is often said to be neuroprotective and important for brain upkeep. For this reason, loss of LC integrity is thought to impact brain volume and microstructure as well as plasticity broadly. LC dysfunction is also a suspected driver in the development of neurodegenerative diseases. Nevertheless, the impact of LC dysfunction on the gross structure and microstructure of normal brains is not well-studied. We employed high-field ex vivo magnetic resonance imaging (MRI) to investigate brain volumetrics and microstructure in control (CON) mice and mice with LC ablation (LCA) at two ages, representing the developing brain and the fully matured brain. These whole-brain methods are known to be capable of detecting subtle morphological changes and brain microstructural remodeling. We found mice behavior consistent with histologically confirmed LC ablation. However, MRI showed no difference between CON and LCA groups with regard to brain size, relative regional volumes, or regional microstructural indices. Our findings suggest that LC-NA is not needed for postnatal brain maturation and growth in mice. Nor is it required for maintenance in the normal adult mouse brain, as no atrophy or microstructural aberration is detected after weeks of LC dysfunction. This adds clarity to the often-encountered notion that LC-NA is important for brain "trophic support" as it shows that such effects are likely most relevant to mechanisms related to brain plasticity and neuroprotection in the (pre)diseased brain. [ABSTRACT FROM AUTHOR]

Crop condition mapping and yield loss detection are highly relevant scientific fields due to their economic importance. Here, we report a new, robust six-category crop condition mapping methodology based on five vegetation indices (VIs) using Sentinel-2 imagery at a 10 m spatial resolution. We focused on maize, the most drought-affected crop in the Carpathian Basin, using three selected years of data (2017, 2022, and 2023). Our methodology was validated at two different spatial scales against independent reference data. At the parcel level, we used harvester-derived precision yield data from six maize parcels. The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. Using a six-category yield map, the accuracy decreased to 48.57%, while the F1 score was 0.42. The parcel-level analysis corroborates the applicability of the method on large scales. Country-level validation was conducted for the six-category crop condition map against official county-scale census data. The proportion of areas with the best and worst crop condition categories in July explained 64% and 77% of the crop yield variability at the county level, respectively. We found that the inclusion of the year 2022 (associated with a severe drought event) was important, as it represented a strong baseline for the scaling. The study's novelty is also supported by the inclusion of damage claims from the Hungarian Agricultural Risk Management System (ARMS). The crop condition map was compared with these claims, with further quantitative analysis confirming the method's applicability. This method offers a cost-effective solution for assessing damage claims and can provide early yield loss estimates using only remote sensing data. [ABSTRACT FROM AUTHOR]

Landslides, as natural hazards, have far-reaching impacts beyond their immediate effects on human lives and infrastructure; landslides disrupt both carbon storage and ecosystem stability, and their role in the global carbon cycle cannot be underestimated. This study delves into the complex relationship between landslides and carbon stocks such as, in particular, soil organic carbon (SOC) and above-ground biomass (AGB), and outlines the spatial relationship between different types of landslides, soil organic carbon (SOC), and the carbon cycle, underscoring the importance of understanding these interconnections for environmental sustainability and climate change mitigation efforts. By employing machine learning algorithms on the Google Earth Engine platform, landslide susceptibility maps were created for different landslide types across Italy, and their spatial patterns with SOC accumulation were analyzed using the Python environment. The findings reveal a nuanced relationship between landslide hazard levels and SOC dynamics, with varying trends observed for different landslide types. In addition, this study investigates the potential impact of large-scale landslide events on carbon sequestration in the short term via a case study of the May 2023 landslide event in the Emilia Romagna region of Italy. The analysis reveals a substantial reduction in above-ground biomass by 35%, which approximately accounts for the loss of 0.133 MtC, and a decrease in SOC accumulation in 72% of the affected areas, indicating that landslides can transform carbon sinks into carbon sources, at least in the short term, and suggested that carbon released from extreme landslide events at a larger scale needs to be accounted for in regional or national carbon emissions. This research underscores the importance of considering landslides in carbon cycle assessments and emphasizes the need for sustainable land management strategies to protect and enhance carbon sinks, such as forests and healthy soils, in the face of increasing natural hazards and climate change impacts. [ABSTRACT FROM AUTHOR]

Introduction: Early identification of Autism Spectrum Disorder (ASD) is critical for effective intervention. Restricted interests (RIs), a subset of repetitive behaviors, are a prominent but underutilized domain for early ASD diagnosis. This study aimed to identify objective biomarkers for ASD by integrating electroencephalography (EEG) and eye-tracking (ET) to analyze toddlers' visual attention and cortical responses to RI versus neutral interest (NI) objects. Methods: The study involved 59 toddlers aged 2-4 years, including 32 with ASD and 27 non-ASD controls. Participants underwent a 24-object passive viewing paradigm, featuring RI (e.g., transportation items) and NI objects (e.g., balloons). ET metrics (fixation time and pupil size) and EEG time-frequency (TF) power in theta (4-8 Hz) and alpha (8-13 Hz) bands were analyzed. Statistical methods included logistic regression models to assess the predictive potential of combined EEG and ET biomarkers. Results: Toddlers with ASD exhibited significantly increased fixation times and pupil sizes for RI objects compared to NI objects, alongside distinct EEG patterns with elevated theta and reduced alpha power in occipital regions during RI stimuli. The multimodal logistic regression model, incorporating EEG and ET metrics, achieved an area under the curve (AUC) of 0.75, demonstrating robust predictive capability for ASD. Discussion: This novel integration of ET and EEG metrics highlights the potential of RIs as diagnostic markers for ASD. The observed neural and attentional distinctions underscore the utility of multimodal biomarkers for early diagnosis and personalized intervention strategies. Future work should validate findings across broader age ranges and diverse populations. [ABSTRACT FROM AUTHOR]

We used a data-driven approach to study the electrophysiological correlates of the working memory subprocesses revealed by the reference-back paradigm. In the absence of prior research, we focused on how aging affects the four subprocesses: updating, substitution, gate opening, and gate closing. We conducted our experiment with 24 younger adults (M = 20.17±1.47) and 23 older adults (M = 67.35±4.01). Significant reaction time costs were observed for all four subprocesses, but age-related differences were found only in substitution, which was larger in older than younger adults, indicating it as being the most vulnerable subprocess in aging. Using difference waves, we identified event-related potential components that characterize the subprocesses we studied. Regarding updating: three occipital negativities between 80–180 ms, 300–400 ms, and 400–1,000 ms were observed, with only the latter range showing age group differences. Source analysis showed larger activity differences in the right frontal and temporal areas for younger adults. Regarding substitution: a frontal positivity between 250–600 ms emerged in younger adults, while a posterior positivity between 550–750 ms was found in older adults indicating different underlying processes supported by sLORETA results. Regarding gate opening: three parieto-occipital components were identified: a negativity between 150–250 ms, a positivity between 300–500 ms, and a positivity between 500–700 ms, all showing age-related differences. Regarding gate closing: we found an occipital negativity between 150–300 ms and a frontal positivity between 300–600 ms, neither of which changed between the age groups. From our findings, we conclude that the process of protecting information (gate closing) remains stable with age, despite older adults' sensitivity to interference. Conversely, we observed age-related differences in gate opening, which may have led to different strategies being used by the two age groups during substitution (the process by which new information is incorporated into working memory), as reflected in the distinct brain activity patterns observed. [ABSTRACT FROM AUTHOR]

Covering: 2013 to 2023 In an era where antimicrobial resistance severely threatens our ability to treat infections, the discovery of new drugs that belong to different chemical classes and/or bear original modes of action is urgently needed. In this case, diterpenoids comprise a productive field with a proven track record in providing new anti-infectives to tackle bacterial infections and malaria. This review highlights the potential of both naturally occurring and semi-synthetic bi- and tricyclic diterpenoids to become leads in search of new drugs to treat infections caused by bacteria, fungi, viruses and protozoan parasites. The literature from the last decade (2013–2023) is covered, focusing on naturally occurring and semi-synthetic bicyclic (labdanes and labdane-type) and tricyclic (all classes) diterpenoids, detailing their relevant biological activities in the context of infection, which are explained through structure–activity relationships. [ABSTRACT FROM AUTHOR]

In 2023, the Society for Reproductive Biology met in Brisbane to deliver its largest scientific program to date. Herein, we detail key areas of notable discovery across the reproductive biology and fertility landscapes, as well as pressing areas that require further research. Specifically, we focus on five key themes: the cellular basis of reproduction; environmental impacts on reproduction; inclusivity in reproductive health; reproductive cancers; and evolution of reproduction mechanisms. Highlights included the utility of organism models, such as using fruit flies to model human genetic disease, and the development of new blastocyst models; the impact of elevated temperature and endocrine-disrupting chemicals on the germline, sex organ development, and fertility in mammals; how we can improve the inclusivity of transgender and Pacific Rainbow+ people in reproductive health; novel insights in reproductive cancer pathogenesis and inhibitor treatments; and the evolution of the sex chromosomes and sex determination across animals. The breadth of topics covered underscores the far-reaching impacts of reproduction and its related processes across life, health, and wellbeing, as well as for food production and the economy. This review summarises the major findings from the 2023 Society for Reproductive Biology conference. We discuss topics of environmental impacts on reproduction, reproductive cancers, cellular basis of reproduction, evolution of reproductive mechanisms, and inclusivity in reproductive health. Image generated in Adobe Illustrator using AI. This article belongs to the collection: Frontiers in Reproduction Science – Rising Stars at the Society for Reproductive Biology 2023. [ABSTRACT FROM AUTHOR]

Objective: Dissociative seizures are paroxysmal disruptions of awareness and behavioral control in the context of affective arousal. Alterations in stress‐related endocrine function have been demonstrated, but the timescale of dissociation suggests that the central locus coeruleus (LC) noradrenergic system is likely pivotal. Here, we investigate whether LC activation at rest is associated with altered brain network dynamics. Methods: A preliminary co‐activation pattern (CAP) analysis of resting‐state functional magnetic resonance imaging (fMRI) in 14 patients with dissociative seizures and 14 healthy controls was performed by using the LC as a seeding region. The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety. Results: Three LC‐related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2LC (Cohen's d = −0.55; p = 0.01) and CAP3LC (Cohen's d = −0.57; p = 0.01). The control analysis using the red nucleus as a seed yielded similar CAPs, but no significant between‐group differences in transition probabilities. Significance: Higher state persistence of LC‐CAPs in patients with dissociative seizures generates the novel hypothesis that arousal‐related impairments of network switching might be a candidate neural mechanism of dissociation. Plain Language Summary: Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as "brain states"), and whether those brain states were different between patients with dissociative seizures and healthy controls. We found that patients tended to stay in certain locus coeruleus‐dependent brain states instead of switching between them. This might be related to the loss of awareness and disruptions of brain functions ("dissociation") that patients experience during seizures. [ABSTRACT FROM AUTHOR]

Background: Paclitaxel is a widely used anticancer drug for ovarian, lung, breast, and stomach cancers; however, its clinical use is often limited by the side effects of peripheral neuropathy. This study evaluated the effects of Cyperus rotundus (C. rotundus) extract and its active metabolite, α-cyperone, on paclitaxel-induced neuropathic pain. Methods: The oral administration of C. rotundus extract at doses of 500 mg/kg and intraperitoneal administration of α-cyperone at doses of 480 and 800 μg/kg prevented both the development of cold and mechanical pain. Results: The gene and protein expressions of tyrosine hydroxylase and noradrenergic receptors (α1- and α2-adrenergic), which were upregulated by paclitaxel, were significantly downregulated in the C. rotundus extract-treated group. In the locus coeruleus region of the mouse brain, C. rotundus extract administration also reduced the elevated expression of tyrosine hydroxylase induced by paclitaxel. The concentration of α-cyperone in C. rotundus extract was quantified using high-performance liquid chromatography (HPLC). In the group treated with α-cyperone, at levels corresponding to its content in C. rotundus, both cold and mechanical allodynia were effectively prevented. Conclusions: This study suggests that α-cyperone shows potential as a preventive agent for paclitaxel-induced neuropathic pain. [ABSTRACT FROM AUTHOR]

Simple Summary: Soft-tissue sarcomas (STSs) are rare cancers that are difficult to diagnose and treat due to their variability. In 2009, Denmark introduced the Cancer Patient Pathways for sarcomas (CPPs) to improve the survival of sarcoma patients by accelerating the diagnosis and treatment processes. This study examined whether the CPPs improved survival in patients with high-grade STSs. Our findings show that survival has improved since the CPPs were introduced and treatment delays have been reduced. This research highlights the importance of streamlined cancer care in improving patient outcomes. Background: Soft-tissue sarcomas (STSs) are rare and challenging to diagnose due to their heterogeneous presentation. In 2009, Denmark introduced the Cancer Patient Pathways for sarcomas (CPPs) to improve sarcoma treatment by streamlining diagnostic and therapeutic processes. The primary objective of this study is to evaluate the impact of the CPPs on the overall survival of patients with deep-seated, high-grade STSs, comparing outcomes from before and after CPP implementation. Methods: A retrospective cohort study was conducted using data from 712 patients diagnosed with high-grade STSs in the extremities or trunk wall between 2000 and 2018. Patients were grouped into pre-CPP (2000–2008) and post-CPP (2010–2018) cohorts. Overall survival was analyzed using Kaplan–Meier estimates. Results: The five-year overall survival improved from 43% in the pre-CPP cohort to 52% post-CPP (p = 0.05). Time-to-treatment was significantly reduced in the post-CPP cohort, with a median decrease of 3 days (18 vs. 15 days, p < 0.001). We found only a very weak tendency toward larger tumor sizes in the pre-CPP cohort and no difference regarding the percentage of patients that had distant metastases at diagnosis between cohorts. In the post-CPP cohort, the percentage of whoops operations decreased and the use of oncological services increased. Conclusions: After the introduction of the CPPs for the sarcoma patients, overall survival improved and time to treatment was reduced. This study highlights the importance of efficient referral pathways in improving cancer outcomes but cannot exclude that other factors could also have contributed. [ABSTRACT FROM AUTHOR]

Background: Patients with migraine often experience not only headache pain but also cognitive dysfunction, particularly in attention, which is frequently overlooked in both diagnosis and treatment. The influence of these attentional deficits on the pain-related clinical characteristics of migraine remains poorly understood, and clarifying this relationship could improve care strategies. Methods: This study included 52 patients with migraine and 34 healthy controls. We employed the Attentional Network Test for Interactions and Vigilance–Executive and Arousal Components paradigm, combined with electroencephalography, to assess attentional deficits in patients with migraine, with an emphasis on phasic alerting, orienting, executive control, executive vigilance, and arousal vigilance. An extreme gradient boosting binary classifier was trained on features showing group differences to distinguish patients with migraine from healthy controls. Moreover, an extreme gradient boosting regression model was developed to predict clinical characteristics of patients with migraine using their attentional deficit features. Results: For general performance, patients with migraine presented a larger inverse efficiency score, a higher prestimulus beta-band power spectral density and a lower gamma-band event-related synchronization at Cz electrode, and stronger high alpha-band activity at the primary visual cortex, compared to healthy controls. Although no behavior differences in three basic attentional networks were found, patients showed magnified N1 amplitude and prolonged latency of P2 for phasic alerting-trials as well as an increased orienting evoked-P1 amplitude. For vigilance function, improvements in the hit rate of executive vigilance-trials were exhibited in controls but not in patients. Besides, patients with migraine exhibited longer reaction time as well as larger variability in arousal vigilance-trials than controls. The binary classifier developed by such attentional deficit features achieved an F1 score of 0.762 and an accuracy of 0.779 in distinguishing patients with migraine from healthy controls. Crucially, the predicted value available from the regression model involving attentional deficit features significantly correlated with the real value for the frequency of headache. Conclusions: Patients with migraine demonstrated significant attentional deficits, which can be used to differentiate migraine patients from healthy populations and to predict clinical characteristics. These findings highlight the need to address cognitive dysfunction, particularly attentional deficits, in the clinical management of migraine. [ABSTRACT FROM AUTHOR]

This study introduces a participatory science-inspired approach to teaching and curriculum design, involving undergraduate students directly in active research. Using a case study on dinosaur eye size, integrated into a first-year undergraduate course in Geology and Palaeontology at a UK university, this study presents the advantages and disadvantages of this approach for both teachers and learners. As part of the study, 22 undergraduate students were involved in data collection, analysis, and the subsequent publication processes, emphasizing active student participation in research. A subsequent survey demonstrated high student engagement and perceived relevance of this participatory science-style teaching approach. Results indicate that students found the approach appealing, engaging, and beneficial for understanding scientific concepts and methods. The case study shows that a participatory science approach through a course-based research experience can enhance student engagement and learning by providing meaningful, hands-on research experiences. This approach allowed students to apply theoretical knowledge in a realistic context, fostering their understanding of evolutionary theory through active data collection and analysis. However, care should be taken concerning data accuracy and ethical aspects, such as exploitation of labour and the recognition of knowledge creators and participants. Despite these challenges, the benefits of integrating such approaches into higher education curricula can be substantial, offering a valuable model for teaching evolutionary theory and related topics. [ABSTRACT FROM AUTHOR]

Amyloidosis is a group of diseases characterized by the extracellular deposition of abnormally folded, insoluble proteins that lead to organ dysfunction. While it commonly affects the cardiovascular system, gastrointestinal (GI) tract involvement is undetermined. Recent research has focused on understanding the pathophysiology, diagnostic challenges, and therapeutic approaches to GI amyloidosis, particularly in systemic amyloid light-chain (AL) and amyloid A (AA) forms. GI manifestations can include motility disorders, bleeding, and, in severe cases, bowel obstruction. This review highlights the importance of the early recognition of digestive symptoms and associated imagistic findings in GI amyloidosis by analyzing the research that included clinical, pathological, and endoscopic approaches to amyloidosis. A systematic search of the PubMed and Scopus databases identified 19 relevant studies. Our findings showed that amyloid deposits commonly affect the entire GI tract, with AL amyloidosis being the most predominant form. Endoscopic evaluations and biopsy remain key diagnostic tools, with Congo Red staining and mass spectrometry being used to confirm amyloid type. Although progress has been made in diagnosis, the absence of targeted therapies and the indistinct nature of GI symptoms continue to be challenging. [ABSTRACT FROM AUTHOR]

Deep brain stimulation (DBS) is a common therapy for managing Parkinson's disease (PD) in clinical practice. However, a complete understanding of its mode of action is still needed. DBS is believed to work primarily through electrical and neurochemical pathways. Furthermore, DBS has other mechanisms of action. This review explores the fundamental concepts and applications of DBS in treating PD, including its mechanisms, clinical implications, and recent research. [ABSTRACT FROM AUTHOR]

Machine learning (ML) models trained with remote sensing data have the potential to improve cereal yield estimation across various geographic scales. However, the complexity and heterogeneity of agricultural landscapes present significant challenges to the robustness of ML-based field-level yield estimation over large areas. In our study, we propose decomposing the landscape complexity into homogeneous zones using existing landform, agroecological, and climate classification datasets, and subsequently applying stratum-based ML to estimate cereal yield. This approach was tested in a heterogeneous region in northern Morocco, where wheat is the dominant crop. We compared the results of the stratum-based ML with those applied to the entire study area. Sentinel-1 and Sentinel-2 satellite imagery were used as input variables to train three ML models: Random Forest, Extreme Gradient Boosting (XGBoost), and Multiple Linear Regression. The results showed that the XGBoost model outperformed the other assessed models. Furthermore, the stratum-based ML approach significantly improved the yield estimation accuracy, particularly when using landform classifications as homogeneous strata. For example, the accuracy of XGBoost model improved from R2 = 0.58 and RMSE = 840 kg ha−1 when the ML models were trained on data from the entire study area to R2 = 0.72 and RMSE = 809 kg ha−1 when trained in the plain area. These findings highlight that developing stratum-based ML models using landform classification as strata leads to more accurate predictions by allowing the models to better capture local environmental conditions and agricultural practices that affect crop growth. [ABSTRACT FROM AUTHOR]

Background Direct-to-implant breast reconstruction (DIR) is becoming more and more accepted. There is a lack of high-quality studies assessing differences in patient-reported quality of life (QoL) between different implant placement methods. The aim of this randomized controlled (clinical) trial was to compare QoL between women reconstructed by sub- or prepectoral implant placement. Methods We included women over 18 years eligible for DIR. Patients were randomly assigned to reconstruction by subpectoral or prepectoral implant placement. Assessment of QoL and patient satisfaction was made using the BREAST-Q questionnaire for postmastectomy breast reconstruction and compared between the sub- and prepectoral reconstructed groups preoperatively and after 3 and 12 months of follow-up. Results A total of 42 women were allocated to sub- or prepectoral reconstruction with 21 patients in each group. There were no differences in patient characteristics between groups. Regarding all the selected BREAST-Q scales: (1) satisfaction with the reconstructed breast, (2) satisfaction with the breast implant, (3) satisfaction with the overall outcome, (4) psychosocial well-being, (5) sexual well-being, and (6) physical well-being—we found no significant differences between the two groups. Assessing each group independently we found, that in both groups sexual well-being improved after surgery postoperatively compared to the preoperative scores. Conclusion We found high satisfaction and QoL following both sub- and prepectoral breast reconstruction. We found no significant differences between groups suggesting both methods for DIR can be used. Despite our high-quality data, a larger sample size and longer postoperative follow-up are needed to further investigate the differences in QoL between sub- and prepectoral breast reconstruction. [ABSTRACT FROM AUTHOR]

Spinal motoneuron firing depends greatly on persistent inward currents (PICs), which in turn are facilitated by the neuromodulators serotonin and noradrenaline. The aim of this study was to determine whether jaw clenching (JC) and mental stress (MS), which may increase neuromodulator release, facilitate PICs in human motoneurons. The paired motor unit (MU) technique was used to estimate PIC contribution to motoneuron firing. Surface electromyograms were collected using a 32-channel matrix on gastrocnemius medialis (GM) during voluntary, ramp, plantar flexor contractions. MU discharges were identified, and delta frequency (ΔF), a measure of recruitment-derecruitment hysteresis, was calculated. Additionally, another technique was used (VibStim) that evokes involuntary contractions that persist after cessation of combined Achilles tendon vibration and triceps surae neuromuscular electrical stimulation. VibStim measures of plantar flexor torque and soleus activity may reflect PIC activation. ΔF was not significantly altered by JC (p = .679, n = 18, 9 females) or MS (p = .147, n = 14, 5 females). However, all VibStim variables quantifying involuntary torque and muscle activity during and after vibration cessation were significantly increased in JC (p < .011, n = 20, 10 females) and some, but not all, increased in MS (p = .017-.05, n = 19, 10 females). JC and MS significantly increased the magnitude of involuntary contractions (VibStim) but had no effect on GM ΔF during voluntary contractions. Effects of increased neuromodulator release on PIC contribution to motoneuron firing might differ between synergists or be context dependent. Based on these data, the background level of voluntary contraction and, hence, both neuromodulation and ionotropic inputs could influence neuromodulatory PIC enhancement., (© 2023 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)

Breathing is a natural daily action that one cannot do without, and it sensitively and intensely changes under various situations. What if this essential act of breathing can impact our overall well-being? Recent studies have demonstrated that breathing oscillations couple with higher brain functions, i.e., perception, motor actions, and cognition. Moreover, the timing of breathing, a phase transition from exhalation to inhalation, modulates specific cortical activity and accuracy in cognitive tasks. To determine possible respiratory roles in attentional and memory processes and functional neural networks, we discussed how breathing interacts with the brain that are measured by electrophysiology and functional neuroimaging: (i) respiration-dependent modulation of mental health and cognition; (ii) respiratory rhythm generation and respiratory pontomedullary networks in the brainstem; (iii) respiration-dependent effects on specific brainstem regions and functional neural networks (e.g., glutamatergic PreBötzinger complex neurons, GABAergic parafacial neurons, adrenergic C1 neurons, parabrachial nucleus, locus coeruleus, temporoparietal junction, default-mode network, ventral attention network, and cingulo-opercular salience network); and (iv) a potential application of breathing manipulation in mental health care. These outlines and considerations of "brain-breath" interactions lead to a better understanding of the interoceptive and cognitive mechanisms that underlie brain-body interactions in health conditions and in stress-related and neuropsychiatric disorders., (© 2023 Walter de Gruyter GmbH, Berlin/Boston.)

The complex healthcare struggles faced by Syrian refugee women in Ontario, Canada necessitate innovative methodologies that transcend traditional research dissemination to accurately reflect their diverse lived experiences. Ethnodrama emerges as a potent tool in this context, addressing the noticeable gap in engaging wider audiences—including the refugee women themselves—in the research process through dynamic and impactful knowledge mobilization. This study investigates the healthcare challenges and coping strategies of Syrian refugee women using ethnodrama, explores their potential to facilitate knowledge transfer, empower women, and ultimately impact refugee health policy and practice. As part of a broader critical ethnography project involving 25 Syrian refugee women, this research integrates critical ethnography with intersectionality to delve into the participants' interactions with the Ontario healthcare system. The data collected were transformed into dramatic scripts, which were then created by the research team in a simulated hospital environment to maintain the confidentiality and anonymity of the study participants. The process entailed iterative script development, filming, and revisions, ensuring that the portrayal was both accurate and resonant, effectively engaging the audience. The study identified three key themes: navigating and coping with healthcare hurdles, barriers to timely specialist care and cultural dissonance in healthcare. The use of ethnodrama not only enhanced the understanding of these issues but also demonstrated its significant potential in empowering refugee women and influencing public policy. By presenting complex social issues in an engaging and comprehensible manner, ethnodrama has proven to be an effective tool for social change, enhancing policy engagement and providing refugee women with a valuable platform to voice their experiences. This approach not only contributes to the fields of qualitative research and public policy but also underscores the transformative power of integrating artistic modalities with traditional research methods to enact social change and empower marginalized communities. [ABSTRACT FROM AUTHOR]

The manner in which motoneurons respond to excitatory and inhibitory inputs depends strongly on how their intrinsic properties are influenced by the neuromodulators serotonin and noradrenaline. These neuromodulators enhance the activation of voltage-gated channels that generate persistent (long-lasting) inward sodium and calcium currents (PICs) into the motoneurons. PICs are crucial for initiating, accelerating, and maintaining motoneuron firing. A greater accessibility to state-of-the-art techniques that allows both the estimation and examination of PIC modulation in tens of motoneurons in vivo has rapidly evolved our knowledge of how motoneurons amplify and prolong the effects of synaptic input. We are now in a position to gain substantial mechanistic insight into the role of PICs in motor control at an unprecedented pace. The present review briefly describes the effects of PICs on motoneuron firing and the methods available for estimating them before presenting the emerging evidence of how PICs can be modulated in health and disease. Our rapidly developing knowledge of the potent effects of PICs on motoneuron firing has the potential to improve our understanding of how we move, and points to new approaches to improve motor control. Finally, gaps in our understanding are highlighted and methodological advancements are suggested to encourage readers to explore outstanding questions to further elucidate PIC physiology. [ABSTRACT FROM AUTHOR]

STUDY QUESTION Can semen parameters predict long-term health outcomes in men? SUMMARY ANSWER There is a lack of evidence to suggest a higher risk of comorbidities in men with poor semen concentration. WHAT IS KNOWN ALREADY Male infertility has been long associated with a higher mortality risk and possibly higher chance of developing comorbidities but there has been less focus on semen analysis as a potential predictive factor. STUDY DESIGN, SIZE, DURATION We searched PubMed/MEDLINE, EMBASE, and EBM databases from inception to December 2023. MESH term strategy: heading 1 ('OR', semen analysis, sperm count, sperm parameter*, male infertility, azoospermia, aspermia, oligospermia, teratozoospermia, asthenozoospermia) 'AND' heading 2 ('OR', morbidity, mortality, diabetes, cancer, cardiovascular, death, hypertension, stroke, long-term health). We included all studies that analyzed the risk of mortality and/or future development of comorbidities in men with at least one semen analysis. Case series and reviews were excluded. PARTICIPANTS/MATERIALS, SETTING, METHODS A narrative synthesis was done for all studies and meta-analysis where possible. Odds ratio (ORs) (95% CI, P -value) were calculated for all men with one suboptimal semen parameter and associated with the risk of a particular outcome. The risk of bias was assessed with QUADAS-2. MAIN RESULTS AND THE ROLE OF CHANCE Twenty-one studies were finally included. There was either a high or unclear risk of bias in all studies. The results only allowed for meta-analysis on categories of sperm concentration. We found a 2-fold increase in mortality risk in azoospermic men compared to oligospermic (OR 1.96, 95% CI: 1.29–2.96) and normozoospermic (OR 2.00, 95% CI: 1.23–3.25) groups, but not in oligospermic compared to normozoospermic (OR 1.04, 95% CI: 0.52–2.09). There was no difference in risk of cardiovascular disease in any of the sperm concentration groups (azoospermic-oligospermic OR 0.94, 95% CI: 0.74–1.20, azoospermic-normozoospermic OR 1.11, 95% CI: 0.71–1.75, and oligospermic-normozoospermic OR 1.12, 95% CI: 0.80–1.55). OR for diabetes in azoospermic men was higher only compared to oligospermic (OR 2.16, 95% CI: 1.55–3.01). The risk of all-site cancer was higher in azoospermic men compared to oligospermic (OR 2.16, 95% CI: 1.55–3.01) and normozoospermic (OR 2.18, 95% CI: 1.20–3.96). Only azoospermic men might be at higher risk of testicular cancer when compared to men with normal sperm concentration (OR 1.80, 95% CI: 1.12–2.89). LIMITATIONS, REASONS FOR CAUTION Although our pooled analysis shows an increased risk of mortality and all-site cancer risk in azoospermic men, the results show a lack of evidence to suggest a higher risk of comorbidities in men with poor semen concentration. Given the limited available data, the nature of the studies, and the high risk of bias, the results should be interpreted with caution. WIDER IMPLICATIONS OF THE FINDINGS There is not enough data to confirm the usability of semen analysis as a predictor of poor long-term health in men, especially within the general population. STUDY FUNDING/COMPETING INTEREST(S) No funding was obtained for this study. A.M. has received funding from Merck Serono, Ferring, Gedeon Richter, Pharmasure, and Cook Medical to attend medical conferences; has been a participant in an advisory board for Ferring; and has given an invited lecture for a Merck Serono advisory board. S.N. has received funding for medical conference attendance from Ferring and Cook Medical. REGISTRATION NUMBER PROSPERO No. CRD42024507563. [ABSTRACT FROM AUTHOR]

Simple Summary: This study compares two different strategies for using postoperative radiotherapy in patients with deep-seated grade 2–3 soft tissue sarcomas of the limbs and trunk wall. One treatment center routinely used postoperative radiotherapy for almost all patients (83%). The other center had a more restrictive approach to selecting patients for radiotherapy, and if the surgical margin was wider than 1 cm and/or a solid barrier was present, radiotherapy was not administered. This resulted in fewer patients (64%) receiving primary radiotherapy after surgery. By analyzing treatment outcomes over several years, we found no differences in local recurrence rates between the two approaches. Two national sarcoma centers have had different approaches for selecting patients with grade 2–3 deep-seated soft tissue sarcomas (STS) for postoperative radiotherapy (RT). We evaluated potential differences in local recurrence in patients treated at the two centers. At Sarcoma Center 1 (SC1), RT was the standard treatment for all tumors except certain small tumors excised with a margin wider than 1 cm. Sarcoma Center 2 (SC2) avoided RT for tumors regardless of tumor size if removed with a margin wider than 1 cm and/or a solid barrier. We included 386 patients (SC1/SC2 = 196/190) over 18 years of age diagnosed with a non-metastatic grade 2–3, deep-seated STS of the extremities or trunk wall, who underwent primary surgical treatment (only tumors excised with a negative margin) from 1 January 2000, to 31 December 2016. Kaplan–Meier survival analysis, competing risk analysis, and cause-specific Cox regression were applied. A total of 284 patients received primary RT, 163 (83%) at SC1 and 121 (64%) at SC2 (p < 0.001). The cumulative incidence of local recurrence at five years was 15% (95% CI: 10–19%) at SC1 and 14% (95% CI: 9–19%) at SC2. Multivariate analysis showed no significant differences in local recurrence between the centers. We concluded that when entering all available patients into the analysis using an intention-to-treat principle, a more selective approach to postoperative RT in patients with grade 2–3 deep-seated STS did not lead to a higher local recurrence rate. However, with this study design, we cannot rule out if the local recurrence rate could have been lower if RT was administered to all tumors removed with a margin wider than 1 cm and/or a solid barrier. [ABSTRACT FROM AUTHOR]

In recent years, quantum computing has made significant strides, particularly in light-based technology. The introduction of quantum photonic chips has ushered in an era marked by scalability, stability, and cost-effectiveness, paving the way for innovative possibilities within compact footprints. This article provides a comprehensive exploration of photonic quantum computing, covering key aspects such as encoding information in photons, the merits of photonic qubits, and essential photonic device components including light squeezers, quantum light sources, interferometers, photodetectors, and waveguides. The article also examines photonic quantum communication and internet, and its implications for secure systems, detailing implementations such as quantum key distribution and long-distance communication. Emerging trends in quantum communication and essential reconfigurable elements for advancing photonic quantum internet are discussed. The review further navigates the path towards establishing scalable and fault-tolerant photonic quantum computers, highlighting quantum computational advantages achieved using photons. Additionally, the discussion extends to programmable photonic circuits, integrated photonics and transformative applications. Lastly, the review addresses prospects, implications, and challenges in photonic quantum computing, offering valuable insights into current advancements and promising future directions in this technology. [ABSTRACT FROM AUTHOR]

People parse continuous experiences at natural breakpoints called event boundaries, which is important for understanding an environment’s causal structure and for responding to uncertainty within it. However, it remains unclear how different forms of uncertainty affect the parsing of continuous experiences and how such uncertainty influences the brain’s processing of ongoing events. We exposed human participants of both sexes (N = 34) to a continuous sequence of semantically meaningless images. We generated sequences from random walks through a graph that grouped images into temporal communities. After learning, we asked participants to segment another sequence at natural breakpoints (event boundaries). Participants segmented the sequence at learned transitions between communities, as well as at novel transitions, suggesting that people can segment temporally extended experiences into events based on learned structure as well as prediction error. Greater segmentation at novel boundaries was associated with enhanced parietal scalp electroencephalography (EEG) activity between 250 and 450 ms after the stimulus onset. Multivariate classification of EEG activity showed that novel and learned boundaries evoked distinct patterns of neural activity, particularly theta band power in posterior electrodes. Learning also led to distinct neural representations for stimuli within the temporal communities, while neural activity at learned boundary nodes showed predictive evidence for the adjacent community. The data show that people segment experiences at both learned and novel boundaries and suggest that learned event boundaries trigger retrieval of information about the upcoming community that could underlie anticipation of the next event in a sequence. [ABSTRACT FROM AUTHOR]