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Abstract The driving force of a charge density wave (CDW) transition in quasi-two dimensional systems is still debated, while being crucial in understanding electronic correlation in such materials. Here we use femtosecond time- and angle-resolved photoemission spectroscopy combined with computational methods to investigate the coherent lattice dynamics of a prototypical CDW system. The photo-induced temporal evolution of the periodic lattice distortion associated with the amplitude mode reveals the dynamics of the free energy functional governing the order parameter. Our approach establishes that optically-induced screening rather than CDW melting at the electronic level leads to a transiently modified potential which explains the anharmonic behaviour of the amplitude mode and discloses the structural origin of the symmetry-breaking phase transition.

Abstract We report on an ultrafast infrared optical parametric chirped-pulse amplifier (OPCPA), pumped by a 200-W thin-disk Yb-based regenerative amplifier at a repetition rate of 100 kHz. The OPCPA is tunable in the spectral range 1.4–3.9 $$\upmu $$ μ m, generating up to 23 W of < 100-fs signal and 13 W of < 200-fs idler pulses for infrared spectroscopy, with additional spectral filtering capabilities for Raman spectroscopy. The OPCPA can also yield 19 W of 49-fs 1.75- $$\upmu $$ μ m signal or 5 W of 62-fs 2.8- $$\upmu $$ μ m idler pulses with active carrier-to-envelope-phase (CEP) stabilisation for high-harmonic generation (HHG). We illustrate the versatility of the laser design, catering to various experimental requirements for probing ultrafast science.

This review provides an overview of explainable AI (XAI) methods for oncological ultrasound image analysis and compares their performance evaluations. A systematic search of Medline Embase and Scopus between 25 March and 14 April 2024 identified 17 studies describing 14 XAI methods, including visualization, semantics, example-based, and hybrid functions. These methods primarily provided specific, local, and post hoc explanations. Performance evaluations focused on AI model performance, with limited assessment of explainability impact. Standardized evaluations incorporating clinical end-users are generally lacking. Enhanced XAI transparency may facilitate AI integration into clinical workflows. Future research should develop real-time methodologies and standardized quantitative evaluative metrics.

Multi-dimensional interferometry of high harmonic generation is demonstrated using an inline Gouy interferometer. The rich data sets acquired with this technique, coupled with its inherent stability, enable robust phase analysis to be performed, allowing the delay in harmonic emission from a range of atomic and molecular gases to be measured relative to harmonic emission from argon with single-digit attosecond precision. Delays of $-78\pm6$ as, $-25\pm6$ as, $30\pm3$ as and $60\pm3$ as relative to emission from argon were measured for Xe, Kr, CO _2 and N _2 , respectively. The scheme can easily be incorporated in other high harmonic experiments, such as tomographic imaging of molecular orbitals, and provides an experimentally simple route towards probing ultrafast dynamics in molecular systems.

Mas-related G protein-coupled receptors (Mrgs) are a subset of GPCRs linked to pain modulation. MrgF was identified as an orphan Mrg whose function and ligand remain unclear. In this study, in addition to its expression in the dorsal root ganglia (DRG), the primary afferent center that transmits pain, we identified dense expression of MrgF, particularly concentrated in the Purkinje cell layer of the mouse cerebellum. Given the the important role of Purkinje neurons in both motor modulation and non-motor modulation, including pain processing, we established a MrgF knockout mouse (MrgF−/−) model and performed a battery of behavioral tests to explore motor performance and assess pain-associated responses. MrgF−/− mice exhibited no disturbances in coordination and motor balance during the rotarod, pole, balance beam, and treadmill tests, and normal cerebellar histology was retained. In hot plate assays, MrgF−/− mice displayed reduced pain-related behavioral responses to thermal stimuli, although no significance differences were found in tail flick assays between MrgF−/− and wild-type (wt) mice. Moreover, in formalin tests, MrgF−/− mice also showed decreased chemical-induced nociception. This was accompanied by a downregulation in the expression levels of genes associated with nociceptive modulation, such as c-fos, Runx1, Nav1.7, Nav1.8, and Nav1.9, within the DRG of MrgF−/− mice. Taken together, our findings suggest that MrgF may play a significant role in modulating pain sensitivity, thereby advancing the understanding of the functional characteristics of the Mrgs family. [ABSTRACT FROM AUTHOR]

Multiple morphological abnormalities of the flagella (MMAF) represent a severe form of sperm defects leading to asthenozoospermia and male infertility. In this study, we identified a novel homozygous splicing mutation (c.871-4 ACA>A) in the adenylate kinase 7 (AK7) gene by whole-exome sequencing in infertile individuals. Spermatozoa from affected individuals exhibited typical MMAF characteristics, including coiled, bent, short, absent, and irregular flagella. Transmission electron microscopy analysis showed disorganized axonemal structure and abnormal mitochondrial sheets in sperm flagella. Immunofluorescence staining confirmed the absence of AK7 protein from the patients' spermatozoa, validating the pathogenic nature of the mutation. This study provides direct evidence linking the AK7 gene to MMAF-associated asthenozoospermia in humans, expanding the mutational spectrum of AK7 and enhancing our understanding of the genetic basis of male infertility. [ABSTRACT FROM AUTHOR]

Background: The monkeypox virus (MPXV) has raised global health concerns due to its widespread transmission. This study evaluated the MPXV immunogenic antigens and the impact of vaccinia virus (VACV) vaccination and MPXV infection on cross-reactive antibody responses to conserved proteins from representative MPXV strains that reflected the evolutionary trajectory. Methods: Phylogenetic analyses were first conducted to reveal the evolutionary trajectory of MPXV from 1970 to 2024. A total of 84 serum samples were collected: 42 from VACV-vaccinated individuals, 12 from MPXV-infected participants in the early stage, 13 from the late stage, and 17 from naive individuals. Demographic data, MPXV and HIV status, as well as other clinical information were collected using standardized forms. Immunogenicity, cross-reactive antibody responses, and amino acid similarity to 15 MPXV surface proteins were assessed using enzyme-linked immunosorbent assays, VACV neutralization tests, and sequence alignment. Data analysis methods included analysis of variance, Mann–Whitney U test, binary logistic regression, Pearson correlation, and linear regression, with a significance threshold of P < 0.05. Results: The 186 complete genome sequences were classified into different clades and lineages, ranging from clade Ia to clade IIb C.1.1. Individuals infected with MPXV demonstrated strong antibody responses to antigens A35R, B6R, H3L, and E8L. VACV-vaccinated individuals exhibited broader cross-reactivity, particularly against A21L (P = 0.0003), A28L (P = 0.0028), A29L (P = 0.0324), G2R (P = 0.0003), and H2R (P = 0.0008), compared to MPXV-infected individuals. Pearson correlation analysis revealed significant associations (P = 0.0049) between antibody responses and the amino acid sequence similarity with other orthopoxviruses. Furthermore, MPXV-infected individuals exhibited greater neutralizing activity against VACV than those VACV-vaccinated individuals (P < 0.0001), while the vaccinated group retained cross-protective immunity even decades post-vaccination. Conclusions: A35R, B6R, H3L, and E8L are the main immunogenic antigens of MPXV. VACV-vaccination triggers a cross-reactive antibody response to MPXV surface proteins. Our findings suggest the need for targeted vaccines and antibody treatments for MPXV, as well as the reintroduction of smallpox vaccinations with booster doses for high-risk groups. [ABSTRACT FROM AUTHOR]

Deep-sea demersal fisheries in the Pacific have strong commercial, cultural, and recreational value, especially snappers (Lutjanidae) which make the bulk of catches. Yet, managing these fisheries is challenging due to the scarcity of data. Stereo-Baited Remote Underwater Video Stations (BRUVS) can provide valuable quantitative information on fish stocks, but manually processing large amounts of videos is time-consuming and sometimes unrealistic. To address this issue, we used a Region-based Convolutional Neural Network (Faster R-CNN), a deep learning architecture to automatically detect, identify and count deep-water snappers in BRUVS. Videos were collected in New Caledonia (South Pacific) at depths ranging from 47 to 552 m. Using a dataset of 12,100 annotations from 11 deep-water snapper species observed in 6,364 images, we obtained good model performance for the 6 species with sufficient annotations (F-measures >0.7, up to 0.87). The correlation between automatic and manual estimates of fish MaxN abundance in videos was high (0.72 – 0.9), but the Faster R-CNN showed an underestimation bias at higher abundances. A semi-automatic protocol where our model supported manual observers in processing BRUVS footage improved performance with a correlation of 0.96 with manual counts and a perfect match (R=1) for some key species. This model can already assist manual observers to semi-automatically process BRUVS footage and will certainly improve when more training data will be available to decrease the rate of false negatives. This study further shows that the use of artificial intelligence in marine science is progressive but warranted for the future. [ABSTRACT FROM AUTHOR]

Background: The medical and preventive integration(MPI) brings significant and substantial benefits to chronic disease management (CDM). Evaluating the effectiveness of MPI is curial to promote the high quality development of CDM. However, such a tool is not available in this field. We aimed to develop an evaluation index system for assessing the regional performance management level of MPI in the CDM and provide suggestions for improving quality construction of CDM at the county level. Methods: The initial version of the performance evaluation index system was constructed based on literature analysis, panel discussions, and in-depth on-site interviews. The Delphi questionnaire was designed and 24 experts in the field of CDM were consulted in two rounds. The analytic hierarchy process method was employed to calculate the weight of indexes at the three levels. Results: The MPI performance evaluation index system at the county level includes five first-level indexes, 20 s-level indexes, and 69 third-level indexes. Among the five first-level indicators, "integration quality" (0.2060) ranked first, followed by "integration inputs" (0.2010), "integration effectiveness" (0.1982), "integration outputs" (0.1975), and "integration mode" (0.1973). Conclusion: The MPI performance evaluation indexes for CDM at the county level are scientific and reliable. This system can act as a useful tool for diversified subjects to find the loopholes and weak points in CDM. It also provides valuable experience for other national authorities to further improve their own CDM system by MPI evaluation. Strengths and limitations of this study: This study complements the gaps in the field of MPI questionnaires in China, but the sample size is small, and it is recommended that reliability and validity tests be carried out in multiple regions of the country in later stages to increase the practicality of the questionnaire. [ABSTRACT FROM AUTHOR]

Project Cheetah in Kuno National Park was initiated to establish a population of African cheetahs in India due to the Asiatic subspecies' extinction in the country since the 1950s. The project has received criticism from international conservationists for lacking conservation and scientific merit. Conservationists, particularly from India and South Africa, have raised concerns regarding the ecological criteria guiding its decision-making and concerns regarding a lack of scientific evidence in addition to potential political motivations. The concerns raised by the international community suggest that the project may not solely focus on conserving the African cheetah, which is classified as "Vulnerable" by the International Union for Conservation of Nature (IUCN), but could be guided by other agendas outside of conservation. Several cheetahs have died in the project's couple of years, raising ethical concerns regarding the cheetahs' welfare and high mortality rates demonstrated thus far, in addition to the perceived unjust social impacts on local stakeholders. In this perspective piece, we use Project Cheetah as a case study to exemplify broader issues applicable to rewilding and restoration projects that necessitate attention by proponents and authorities responsible for issuing the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) import and export permits. [ABSTRACT FROM AUTHOR]

Background: Advances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management of disorders of consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, and noninvasive imaging capabilities, has emerged as a promising tool for evaluating functional brain activity and nonrecovery potential in DoC patients. This review explores the current applications of fNIRS in DoC research, identifies its limitations, and proposes future directions to optimize its clinical utility. Aim: This review examines the clinical application of fNIRS in monitoring DoC. Specifically, it investigates the potential value of combining fNIRS with brain-computer interfaces (BCIs) and closed-loop neuromodulation systems for patients with DoC, aiming to elucidate mechanisms that promote neurological recovery. Methods: A systematic analysis was conducted on 155 studies published between January 1993 and October 2024, retrieved from the Web of Science Core Collection database. Results: Analysis of 21 eligible studies on neurological diseases involving 262 DoC patients revealed significant findings. The prefrontal cortex was the most frequently targeted brain region. fNIRS has proven crucial in assessing brain functional connectivity and activation, facilitating the diagnosis of DoC. Furthermore, fNIRS plays a pivotal role in diagnosis and treatment through its application in neuromodulation techniques such as deep brain stimulation (DBS) and spinal cord stimulation (SCS). Conclusion: As a noninvasive, portable, and real-time neuroimaging tool, fNIRS holds significant promise for advancing the assessment and treatment of DoC. Despite limitations such as low spatial resolution and the need for standardized protocols, fNIRS has demonstrated its utility in evaluating residual brain activity, detecting covert consciousness, and monitoring therapeutic interventions. In addition to assessing consciousness levels, fNIRS offers unique advantages in tracking hemodynamic changes associated with neuroregulatory treatments, including DBS and SCS. By providing real-time feedback on cortical activation, fNIRS facilitates optimizing therapeutic strategies and supports individualized treatment planning. Continued research addressing its technical and methodological challenges will further establish fNIRS as an indispensable tool in the diagnosis, prognosis, and treatment monitoring of DoC patients. [ABSTRACT FROM AUTHOR]

Background: The immune system must carefully balance fighting pathogens with minimization of inflammation and avoidance of autoimmune responses. Over the past ten years, researchers have extensively studied the mechanisms regulating this delicate balance. Comprehending these mechanisms is essential for developing treatments for inflammatory conditions. Aim: This review aims to synthesize knowledge of immunoregulatory processes published from 2014–2024 and to highlight discoveries that provide fresh perspectives on this complex balance. Methods: The keywords "molecular mechanisms", "immune regulation", "immune signaling pathways", and "immune homeostasis" were used to search PubMed for articles published between 2014 and 2024, with a preference for articles published in the past three years. Results: Recent research has pinpointed the impact of factors such as cytokine signaling, T-cell regulation, epigenetic regulation, and immunometabolism on immune function. Discussion: New research highlights the intricate interactions between the immune system and other molecular elements. A key area of interest is the impact of non-coding RNAs and metabolic pathways on the regulation of immune responses. Conclusions: Exploring the mechanisms by which the immune system is regulated will provide new avenues for developing treatments to address autoimmune and inflammatory conditions. [ABSTRACT FROM AUTHOR]

Fertilization is a critical process in sexual reproduction that involves the fusion of a capacitated sperm with a mature oocyte to form a zygote. Polyspermy, the fertilization of an oocyte by multiple sperm, leads to polyploidy and embryo lethality. Mammalian and non-mammalian oocytes have evolved mechanisms to prevent polyspermy, including fast and slow blocks. The fast block comprises membrane depolarization post-sperm fusion, temporarily preventing additional sperm fusion. The slow block, triggered by cortical granule (CG) exocytosis, involves the release of proteins that modify the zona pellucida to form a permanent barrier, avoiding the fertilization by additional sperm. The evidence shows that immature oocytes often fail to prevent polyspermy due to ineffective CG exocytosis, attributed to impaired intracellular calcium increases, lower content of this ion, and incomplete CG migration. The study of how genetic variations lead to observable phenotypes (phenogenetics) during the oocyte-to-embryo transition, have identified several maternal-effect genes in zebrafish involved in CG behavior. These genes regulate various stages of CG biology, including biosynthesis, maturation, and exocytosis. Mutations in these genes disrupt these processes, highlighting the maternal genetic control over CG properties. Zebrafish has emerged as a pivotal model for understanding the evolving genetic regulation and molecular mechanisms underlying CG biology, providing valuable insights into fertility and early embryonic development. [ABSTRACT FROM AUTHOR]

Background: Converging evidence suggests that bipolar disorder (BD) involves mitochondrial dysfunction and prefrontal cortex (PFC) hypometabolism associated with cognitive impairment, which persists in remitted BD individuals. Transcranial infrared laser stimulation (TILS) provides safe, non-invasive brain stimulation that enhances PFC metabolism via photobiomodulation of mitochondrial respiration and tissue oxygenation. We tested the hypothesis that the neurocognitive deficits found in BD may be ameliorated by TILS treatments. Methods: This is the first study to explore neurocognitive effects of repeated TILS administration in BD. Using an open-label design, 29 individuals with remitted BD received six weekly TILS treatments. Working memory and attention were assessed with trail-making and 2-back tasks sensitive to TILS cognitive effects in individuals with BD. Changes in PFC network interactions were measured with functional near-infrared spectroscopy (fNIRS) because this method can measure TILS effects on oxygen metabolism in the PFC of individuals with BD. Results: Participants reported no adverse effects from treatment, confirming the safety of this intervention in individuals with BD. Cognitive test results showed that in people with remitted BD, TILS was effective at improving cognition, i.e., enhanced speed and accuracy in tasks reflecting cognitive flexibility, working memory, and attentional control. Antipsychotic medication improved TILS cognitive effects. The fNIRS results showed a significant reduction in PFC network correlations of oxygenated hemoglobin changes driven by cognitive task performance. The right-hemisphere frontopolar cortex showed greater TILS effects than its left-hemisphere counterpart. Conclusions: Repeated TILS is a safe intervention to improve cognition in people with remitted BD. Continued antipsychotic medication may have contributed to the cognitive improvement. To confirm TILS efficacy, a sham-controlled, double-blinded randomized trial is needed. Clinical trial registration: https://clinicaltrials.gov/ , identifier NCT05354895. [ABSTRACT FROM AUTHOR]

Recent findings from photometric and spectroscopic JWST surveys have identified examples of high-redshift galaxies at z ≳ 10. These high- z galaxies appear to form much earlier and exhibit greater UV luminosity than predicted by theoretical work. In this study, our goal is to reproduce the brightness of these sources by simulating high-redshift galaxies with virial masses M vir = 109–1010 M ⊙ at z > 10. To achieve this, we conduct cosmological hydrodynamic zoom-in simulations, modifying baryonic subgrid physics, and post-process our simulation results to confirm the observability of our simulated galaxies. Specifically, we enhanced star formation activity in high-redshift galaxies by either increasing the star formation efficiency up to 100% or adopting a top-heavy initial mass function (IMF). Our simulation results indicate that both increasing star formation efficiency and adopting a top-heavy IMF play crucial roles in boosting the UV luminosity of high-redshift galaxies, potentially exceeding the limiting magnitude of JWST surveys in earlier epochs. In particular, the episodic starburst resulting from enhanced star formation efficiency may explain the high-redshift galaxies observed by JWST, as it evacuates dust from star-forming regions, making the galaxies more observable. We demonstrate this correlation between star formation activity and dust mass evolution within the simulated galaxies. Also, adopting a top-heavy IMF could enhance observability due to an overabundance of massive stars, although it may also facilitate rapid metal enrichment. Using our simulation results, we derive several observables such as effective radius, UV slope, and emission-line rates, which could serve as valuable theoretical estimates for comparison with existing spectroscopic results and forthcoming data from the JWST NIRSpec and MIRI instruments. [ABSTRACT FROM AUTHOR]

Objective: To establish a combined radiomics-clinical model for the early prediction of a prostate-specific antigen(PSA) response in patients with metastatic castration-resistant prostate cancer(mCRPC) after treatment with abiraterone acetate(AA). Methods: The data of a total of 60 mCRPC patients from two hospitals were retrospectively analyzed and randomized into a training group(n=48) or a validation group(n=12). By extracting features from biparametric MRI, including T2-weighted imaging(T2WI), diffusion-weighted imaging(DWI), and apparent diffusion coefficient(ADC) maps, radiomics features from the training dataset were selected using least absolute shrinkage and selection operator(LASSO) regression. Four predictive models were developed to assess the efficacy of abiraterone in treating patients with mCRPC. The primary outcome variable was the PSA response following AA treatment. The performance of each model was evaluated using the area under the receiver operating characteristic curve(AUC). Univariate and multivariate analyses were performed using Cox regression to identify significant predictors of the efficacy of abiraterone treatment in patients with mCRPC. Results: The integrated model was constructed from seven radiomics features extracted from the T2WI, DWI, and ADC sequence images of the training data. This model demonstrated the highest AUC in both the training and validation cohorts, with values of 0.889 (95% CI, 0.764-0.961) and 0.875 (95% CI, 0.564-0.991). The Rad-score served as an independent predictor of the response to abiraterone treatment in patients with mCRPC (HR: 2.21, 95% CI: 1.01-4.44). Conclusion: The biparametric MRI-based radiomics model has the potential to predict the PSA response in patients with mCRPC following abiraterone treatment. Clinical relevance statement: The MRI-based radiomics model could be used to noninvasively identify the AA response in mCRPC patients, which is helpful for early clinical decision-making. [ABSTRACT FROM AUTHOR]

Pulmonary gene delivery has demonstrated high specificity for respiratory diseases, offering great control on dosage of therapeutics and side effects. On the other hand, intrinsic barriers in pulmonary systems impose new challenges such as crossing the pulmonary surfactant and evading mucus entrapment. Differences in hydrophobicity of plasma membrane and pulmonary surfactant require different chemistries of gene carriers to improve efficacy. Large-scale coarse-grained (CG) molecular dynamics simulations would facilitate the screening of gene carriers and understanding of the molecular mechanisms involved in pulmonary delivery. Among non-viral carriers, polyethyleneimine (PEI) has been a promising candidate that can be synthesized with various molecular weight, degree of branching, and functionalization. In this work, CG models are developed for PEI and its lipid-functionalized form, within the Martini framework, to provide a platform for exploring structure-function relationships of PEI-based pulmonary delivery systems. Special attention is focused on parameterizing the non-bonded interactions associated with CG PEI, to ensure compatibility with Martini proteins, short interfering RNA, and phospholipids that are essential components in pulmonary gene delivery. The non-bonded parameters are validated by comparing all-atom (AA) and CG potential of mean force (PMF) curves, where the root-mean-square deviations between the AA and CG PMF curves are shown to be comparable to or smaller than those reported in Martini literature. [ABSTRACT FROM AUTHOR]

Background: Type 2 diabetes (T2D) disproportionately affects individuals of South Asian descent. Additionally, diabetes distress (DD) may lead to complications with diabetes management. This study examines the prevalence of DD among foreign-born individuals of South Asian descent in New York City (NYC) and its association with sociodemographic and clinical factors. Methods: Baseline data was collected from the Diabetes Research, Education, and Action for Minorities (DREAM) Initiative, an intervention designed to reduce hemoglobin A1c (HbA1c) among South Asian individuals with uncontrolled T2D at primary care practices in NYC. The Diabetes Distress Scale (DDS) measured DD, and Core Healthy Days Measures assessed physical and mental healthy days. Sociodemographic variables were analyzed using descriptive statistics, Chi-square tests assessed categorical variables, and Wilcoxon Rank Sum tests evaluated continuous variables (Type I error rate = 0.05). Logistic regression models examined associations between HbA1c, mental health, and other covariates with dichotomized DD subscales. Results: Overall, 414 participants completed the DDS at baseline (median age = 55.2 years; SD = 9.8). All were born outside of the US; the majority were born in Bangladesh (69.8%) followed by India, Pakistan, and Nepal (24.7%) and Guyana and Trinidad and Tobago (5.5%). High emotional burden, regimen-related distress and physician-related distress were reported by 25.9%, 21.9%, and 6.2% of participants, respectively. In adjusted analyses, individuals with ≥ 1 day of poor mental health had higher odds of overall distress (OR:3.8, p = 0.013), emotional burden (OR:4.5, p < 0.001), and physician-related distress (OR:4.6, p = 0.007) compared to individuals with no days of poor mental health. Higher HbA1c (OR:1.45, p = < 0.001) was associated with regimen-related distress; and lower emotional support was associated with overall distress (OR:0.92, p < 0.001) and regimen-related distress (OR:0.95, p = 0.012). Individuals born in Bangladesh had significantly lower odds of overall distress, emotional burden, and regimen-related distress compared to individuals born in Guyana and Trinidad and Tobago. Conclusions: Findings highlight the rate and risk factors of DD among individuals of South Asian descent living in NYC. Screening for DD in patients with prediabetes or diabetes should be integrated to address mental and physical health needs. Future research can benefit from a longitudinal analysis of the impact of DD on diabetes self-management and health outcomes. Trial registration: This study uses baseline data from "Diabetes Management Intervention for South Asians" (NCT03333044), which was registered with clinicaltrials.gov on 6/11/2017. [ABSTRACT FROM AUTHOR]

Developing affordable, rapid, and accurate biosensors is essential for SARS-CoV-2 surveillance and early detection. We created a bio-inspired peptide, using the SAGAPEP AI platform, for COVID-19 salivary diagnostics via a portable electrochemical device coupled to Machine Learning algorithms. SAGAPEP enabled molecular docking simulations against the SARS-CoV-2 Spike protein's RBD, leading to the synthesis of Bio-Inspired Artificial Intelligence Peptide 1 (BIAI1). Molecular docking was used to confirm interactions between BIAI1 and SARS-CoV-2, and BIAI1 was functionalized on rhodamine-modified electrodes. Cyclic voltammetry (CV) using a [Fe(CN)6]3−/4 solution detected virus levels in saliva samples with and without SARS-CoV-2. Support vector machine (SVM)-based machine learning analyzed electrochemical data, enhancing sensitivity and specificity. Molecular docking revealed stable hydrogen bonds and electrostatic interactions with RBD, showing an average affinity of −250 kcal/mol. Our biosensor achieved 100% sensitivity, 80% specificity, and 90% accuracy for 1.8 × 10⁴ focus-forming units in infected saliva. Validation with COVID-19-positive and -negative samples using a neural network showed 90% sensitivity, specificity, and accuracy. This BIAI1-based electrochemical biosensor, integrated with machine learning, demonstrates a promising non-invasive, portable solution for COVID-19 screening and detection in saliva. [ABSTRACT FROM AUTHOR]

Marine plankton include organisms driving multiple ecosystem services (ESs). In this study, we identified ESs provided by planktonic consortia worldwide from the analysis of scientific literature. We also mapped the identified ESs onto forty-nine plankton trophic networks derived from presence–absence data obtained from two coastal surveys in three areas along the coast of the Campania region in the Tyrrhenian Sea (NW Mediterranean). The systematic review evidenced that ESs associated with goods provision and ecosystem regulation were the most studied categories, while cultural ESs were the least considered. The mapping of ESs across the Campania coast revealed significant spatiotemporal variations in plankton-based ESs, which depend on seasonal variability and local environmental conditions. Among the ESs, those connected with the regulation and maintenance of marine ecosystems dominated both temporally and spatially, highlighting the crucial role of plankton in ecosystem stability and resilience. Moreover, although the direct provision of goods and materials was less represented, food provision to higher trophic levels was widespread within each coastal sector, highlighting the crucial role of plankton biodiversity in directly sustaining the whole marine ecosystem and related economic activities such as fisheries and aquacultures. [ABSTRACT FROM AUTHOR]

This study investigates how CEO characteristics, board composition, and firm size influence the technical efficiency (TE) of energy firms. We aim to understand how these factors contribute to production inefficiencies, which may help explain fluctuations in oil prices. Using stochastic frontier analysis (SFA), we analyze data from 100 American energy firms over the period from 2006 to 2019. Our results show that inefficiencies in production are primarily driven by specific CEO traits, the size and structure of the board, and the overall size of the firm. Based on the findings of this study, we recommend focusing on the selection of executive managers with specific qualifications, particularly those with extensive experience in managing oil and gas companies. Leadership positions should prioritize seasoned managers with accumulated expertise in this sector, and preference should be given to candidates with advanced educational backgrounds. Encouraging CEOs to acquire equity stakes in the company can significantly boost the technical efficiency of oil and gas firms. Additionally, offering competitive salaries and performance-based bonuses may further enhance managerial effectiveness and drive technical improvements. In addition, expanding the size of boards of directors in oil and gas companies is also anticipated to positively influence their technical efficiency. Finally, pursuing mergers and acquisitions to grow the scale of oil and gas companies represents a strategic approach to improving operational efficiency while contributing to the stability of global energy prices. [ABSTRACT FROM AUTHOR]

Functional near-infrared spectroscopy (fNIRS) imaging offers a promising avenue for measuring brain function in both healthy and diseased cohorts. However, signal quality in fNIRS data frequently encounters challenges, such as low signal-to-noise ratio or substantial motion artifacts in one or multiple measurement channels, impeding the comprehensive exploitation of the data. Developing a valid method to improve the quality of damaged fNIRS signals is crucial, particularly given the extensive use of wearable fNIRS devices in natural settings where noise issues are even more unavoidable. Here, we proposed a generative deep learning approach to recover damaged fNIRS signals in one or more measurement channels. The model captured spatial and temporal variations in the time series of fNIRS data by integrating multiscale convolutional layers, gated recurrent units (GRUs), and linear regression analyses. We trained the model on a resting-state fNIRS dataset from healthy elderly individuals and evaluated its performance in terms of reconstruction accuracy and functional connectivity matrix similarity. Collectively, the proposed model exhbited an excellent performance for the reconstruction of damaged fNIRS time series. In individual channel-level, the model can accurately reconstruct damaged fNIRS time series (mean correlation = 0.80 ± 0.14) while preserving intervariable relationships (correlation = 0.93). In multiple channel-level, the model maintained robust reconstruction accuracy and consistency in terms of functional connectivity. Our findings underscore the potential of generative deep learning techniques in reconstructing damaged fNIRS signals, providing a novel perspective for the efficient utilization of data in clinical diagnosis and brain research. [ABSTRACT FROM AUTHOR]

Meeting the rising global food demand among limited resources necessitates transformative agricultural innovations. The Internet of Things (IoT) emerges as a pivotal technology in modern agriculture, offering data-driven solutions to optimize productivity and sustainability. This review provides a focused exploration of IoT's transformative role in agriculture, analyzing its integration with big data, real-time monitoring, and precision farming practices. Key insights include global market trends, projections for IoT adoption in agriculture by 2030, and advancements in IoT-related technologies shaping the future of agritech. The review underscores how IoT enhances agricultural efficiency by enabling precise data collection, automated decision-making, and optimized resource use, while addressing operational challenges such as interoperability, scalability, cost constraints, and regulatory hurdles. By consolidating evidence from emerging studies, this work advocates for interdisciplinary collaborations to deepen understanding and innovation in IoT-driven smart agriculture, positioning it as a cornerstone for achieving global food security. [ABSTRACT FROM AUTHOR]

The field of computer vision has progressed rapidly over the past ten years, with noticeable improvements in techniques to detect, locate, and classify objects. Concurrent with these advances, improved accessibility through machine learning software libraries has sparked investigations of applications across multiple domains. In the areas of fisheries research and management, efforts have centered on the localization of fish and classification by species, as such tools can estimate the health, size, and movement of fish populations. To aid in the interpretation of computer vision for fisheries research management tasks, a survey of the recent literature was conducted. In contrast to prior reviews, this survey focuses on employed evaluation metrics and datasets as well as the challenges associated with applying machine learning to a fisheries research and management context. Misalignment between applications and commonly used evaluation metrics and datasets mischaracterizes the efficacy of emerging computer vision techniques for fisheries research and management tasks. Aqueous, turbid, and variable lighted deployment settings further complicate the use of computer vision and generalizability of the reported results. Informed by these inherent challenges, culling surveillance data, exploratory data collection in remote settings, and selective passage and traps are presented as opportunities for future research. [ABSTRACT FROM AUTHOR]

Myocardial infarction (MI) is a severe hypoxic event, resulting in the loss of up to one billion cardiomyocytes (CMs). Due to the limited intrinsic regenerative capacity of the heart, cell-based regenerative therapies, which feature the implantation of stem cell-derived cardiomyocytes (SC-CMs) into the infarcted myocardium, are being developed with the goal of restoring lost muscle mass, re-engineering cardiac contractility, and preventing the progression of MI into heart failure (HF). However, such cell-based therapies are challenged by their susceptibility to oxidative stress in the ischemic environment of the infarcted heart. To maximize the therapeutic benefits of cell-based approaches, a better understanding of the heart environment at the cellular, tissue, and organ level throughout MI is imperative. This review provides a comprehensive summary of the cardiac pathophysiology occurring during and after MI, as well as how these changes define the cardiac environment to which cell-based cardiac regenerative therapies are delivered. This understanding is then leveraged to frame how cell culture treatments may be employed to enhance SC-CMs' hypoxia resistance. In this way, we synthesize both the complex experience of SC-CMs upon implantation and the engineering techniques that can be utilized to develop robust SC-CMs for the clinical translation of cell-based cardiac therapies. [ABSTRACT FROM AUTHOR]

JYNNEOS, a third-generation smallpox vaccine, is integral to monkeypox virus (MPXV) control efforts, but the durability of this modified vaccinia Ankara--Bavarian Nordic (MVA-BN) vaccine's effectiveness is undefined. We optimized and used a plaque reduction neutralization test (PRNT) with authentic clade IIa MPXV and vaccinia virus to assess antibody responses over 12 months in 8 donors vaccinated with 2 doses of JYNNEOS. One donor previously received the ACAM2000 vaccine; 7 donors were smallpox vaccine--naive. IgG responses of the donors to vaccinia virus (L1, B5, and A33) or MPXV (E8, H3, A35) antigens and PRNT titers to both viruses peaked at 8 weeks postvaccination and waned rapidly thereafter in naive donors. MPXV PRNT titers were especially low; no naive donors demonstrated 90% plaque reduction. These data indicate a need for improved correlates of MPXV immunity to enable MVA-BN durability studies, given that recent clinical data support MVA-BN vaccine efficacy against MPXV despite low antibody responses. [ABSTRACT FROM AUTHOR]

Purpose: Patient satisfaction surveys are pivotal in evaluating healthcare quality and enhancing patient care. Understanding the factors influencing patient engagement with these surveys in radiation oncology can guide improvements in patient-centered care. Methods: This retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. We assessed the influence of demographic, clinical, and socioeconomic factors on the likelihood of survey participation using univariate (UVA) and multivariable (MVA) logistic regression analyses. Factors included age, gender, race, socioeconomic status (SES) via Area Deprivation Index (ADI), language, marital status, smoking, employment, insurance type, mental health disorders (MHD), comorbidity index (CCI), and cancer type. Results: In a comprehensive analysis of 11,859 patients, most were female (57.2%), over 65 years old (60.7%), and primarily insured by Medicare (45.9%). MVA showed that higher socioeconomic disadvantage significantly decreased survey participation (ADI third tertile vs. first tertile OR=0.708, p<0.001), with each unit increase in ADI reducing the odds of completion by 1% (p<0.001). Older adults, and patients with head and neck or genitourinary cancers were significantly more likely to participate, while those with higher comorbidities, MHD, or other minority status were less engaged (p<0.001). Telemedicine encounters also significantly increased participation compared to in-person visits (OR=1.149, p=0.006). Conclusions: Multiple factors including age, race, SES, insurance type, cancer type, health conditions, and modality of healthcare delivery influence patient engagement with satisfaction surveys in radiation oncology. Strategies to enhance patient engagement must consider these diverse influences to ensure comprehensive and inclusive feedback mechanisms in healthcare settings. Tailored interventions to mitigate barriers specific to underrepresented groups are crucial for capturing a broad spectrum of patient experiences and improving the overall quality of patient care. [ABSTRACT FROM AUTHOR]

We evaluated a couple-based intervention targeting human immunodeficiency virus (HIV) care needs of women, with the option to support HIV-related needs of male partners. Adult women with HIV adherence difficulties in a monogamous relationship with a male partner for ≥6 months were recruited in KwaZulu-Natal, South Africa. Twenty couples were randomized (1:1) to either START Together, a five-session manualized behavioral intervention, or treatment as usual, adherence counseling referral. Assessments were completed at baseline, post-treatment, and follow-up. Of the ten couples randomized to START Together, 70% attended at least one intervention session (feasibility); of those, 71% attended all five sessions (acceptability). Independently rated interventionist fidelity was very high (M ≥ 2.94 out of 3). Women's self-reported antiretroviral therapy adherence increased similarly in both interventions. For men, self-reported antiretroviral therapy adherence increased up to 25 percentage points in START Together, but not treatment as usual. Findings suggest that START Together may be potentially beneficial for improving HIV outcomes for men. Plain Language Summary: Couple-Based Treatment to Improve HIV Treatment for Women and their Partners in KwaZulu-Natal, South Africa: Results from an Initial Randomized Controlled Study We conducted an initial study to test whether a behavioral treatment for couples with the main goal of improving the HIV care needs of women, could also improve the HIV-related needs of male partners. Adult women with HIV who had difficulties with HIV treatment adherence in the past year and who were in a monogamous relationship with a male partner for at least six months were recruited from HIV clinics in KwaZulu-Natal, South Africa. Twenty couples were randomly assigned (1:1) to either START Together, a 5-session intervention based in cognitive-behavioral therapy for couples, or treatment as usual (TAU), a referral to the local HIV clinic for adherence counseling. Assessments were completed at baseline, after the treatment was complete, and at a follow-up timepoint. Of the ten couples that were randomly selected to receive the START Together treatment, 70% attended at least one treatment session (feasibility); of those, 71% attended all 5 sessions (acceptability). Participant self-reported acceptability (Mean =2.93 out of 3) and feasibility (Mean = 2.77 out of 3) were high. An independent person rated the START Together interventionist's delivery of the treatment according to the manual (fidelity), which was determined to be very high (Mean = 2.94 out of 3). Women's self-reported HIV medication adherence increased similarly in both treatment groups. For men, self-reported HIV medication adherence increased up to 25 percentage points in the START Together arm, but not in TAU, with some gains in their intimate relationship as well. Overall, findings suggest that START Together may be potentially beneficial for improving HIV medication adherence and the intimate relationship for men. Future research is needed with a larger sample size and longer-term follow up to confirm these findings. [ABSTRACT FROM AUTHOR]

Background: Subglottic stenosis is a significant clinical challenge in pediatric anesthesia, often necessitating interventions that can lead to various postoperative complications. The aim of this study was to determine the effect of prophylactic continuous positive airway pressure (CPAP) application on recovery time and airway complications in pediatric patients with subglottic stenosis undergoing balloon dilatation. Methods: A prospective, double-blinded, parallel-group, randomized controlled study was conducted at Health Sciences University Ümraniye Training and Research Hospital on pediatric patients with subglottic stenosis, aged from 0 to 12 years and who underwent elective balloon dilatation under general anesthesia. Patients were randomized in a 1:1 ratio into the CPAP or non-CPAP group. The primary outcome was the duration of recovery time. Secondary outcomes included bronchospasm, the number of desaturation episodes, intubation, tracheostomy, and the need for intensive care. Results: A total of 84 patients were enrolled in this randomized controlled trial, 81 of which received the allocated treatment and were analyzed (non-CPAP n = 41, CPAP n = 40). Compared to controls, the proportions of bronchospasm, tracheal secretion, need for intensive care, and tracheostomy were consistently lower in the CPAP group, whereas the requirement of intubation was higher. Further, the mean recovery time was significantly shorter in the CPAP group compared to the non-CPAP group (mean difference − 3.3 min, 95%CI − 5.16 to − 1.44, p = 0.0007). Despite lacking statistical significance, the CPAP group had reduced odds of developing bronchospasm, tracheal secretion, need for intensive care, and tracheostomy, but higher odds of requiring intubation when compared to the controls. Conclusion: Prophylactic CPAP application following therapeutic balloon dilatation in pediatric patients who have developed subglottic stenosis due to acquired or congenital causes appears to effectively shorten recovery time and may have a role in decreasing postoperative pulmonary complications; however, more research is recommended to further confirm these findings. Trial registration: The protocol for this clinical trial was retrospectively registered on clinicaltrials.gov with registration ID NCT06183515 on 30 November 2023. [ABSTRACT FROM AUTHOR]

With the advent of a variety of vaccines against viral infections, there are multiple viruses that can be prevented via vaccination. However, breakthrough infections or uncovered strains can still cause vaccine-preventable viral infections (VPVIs). Therefore, timely diagnosis, treatment, and surveillance of these viruses is critical to patient care and public health. Point-of-care (POC) viral diagnostics tools have brought significant improvements in the detection and management of VPVIs. These cutting-edge technologies enable prompt and accurate results, enhancing patient care by facilitating timely treatment decisions. This review delves into the advancements in POC testing, including antigen/antibody detection and molecular assays, while focusing on their impact on the diagnosis, treatment, and surveillance of VPVIs such as mpox, viral hepatitis, influenza, flaviviruses (dengue, Zika, and yellow fever virus), and COVID-19. The role of POC tests in monitoring viral infection is crucial for tracking disease progression and managing outbreaks. Furthermore, the application of POC diagnostics has shown to be vital for public health strategies. In this review, we also highlight emerging POC technologies such as CRISPR-based diagnostics and smartphone-integrated POC devices, which have proven particularly beneficial in resource-limited settings. We underscore the importance of continued research to optimize these diagnostic tools for wider global use for mpox, viral hepatitis, influenza, dengue, and COVID-19, while also addressing current challenges related to their sensitivity, specificity, availability, efficiency, and more. [ABSTRACT FROM AUTHOR]

Background: Treadmill-based gait training is part of rehabilitation programs focused on walking abilities. The use of handrails embedded in treadmill systems is debated, and current literature only explores the issue from a behavioral perspective. Methods: We examined the cortical correlates of treadmill walking in healthy participants using functional near-infrared spectroscopy. We investigated whether the utilization of treadmill handrails at varying walking speeds could affect cortical activation associated with the task, and we evaluated potential differences in task-based functional connectivity across the various walking conditions. Results: Significant differences in cortical activation were found between the two walking speeds (3 and 5 km/h) in the unsupported condition; these differences were reduced when using the handrails. Specifically, cortical activation was significantly higher when the participants swung their arms freely while walking at a speed of 5 compared to 3 km/h in several Brodmann's Areas (BA): left BA10, BA3 and BA39, and right BA10, BA9, BA8, BA3, and BA40. No significant differences were found when participants were holding onto the handrails. A significant difference was found in the left BA40 between the two speeds, regardless of whether the participants were holding onto the handrails. Furthermore, at the higher speed and without the use of handrails, a wider pattern of task-based functional connectivity was observed, with significantly stronger connectivity between the left BA10 and BA40. Conclusions: We suggest that speed and handrails use play a role in walking cortical activity patterns, therefore they are key ingredients to take into account when planning a rehabilitation program. [ABSTRACT FROM AUTHOR]

Background: Cerebral venous sinus thrombosis (CVST) is a rare type of thrombosis that affects the cerebral venous system. The data on neurological outcomes are limited. Objectives: This study aimed to investigate the neurological outcomes of CVST, contributing factors, clinical presentation, treatment and mortality. Methods: This was a single-center, retrospective study at a university-based referral hospital in Thailand. Consecutive patients diagnosed with CVST between January 2010 and December 2020 were included. Outcomes were neurological outcomes measured by modified Rankin Scale (mRS), anticoagulant treatment, recurrence, and mortality. Results: One hundred and seven CVST patients were included with a mean age (± SD) of 42.7 ± 20.4 years. Following the treatment, neurological outcomes significantly improved, with the proportion of patients with mRS 0–1 increasing from 18.7% at diagnosis to 83.2% and 85.1% at three and six months, respectively (P < 0.001). Clinical variables were associated with residual neurological symptoms (mRS≥1) included age ≥ 50 years (OR 4.1, 95% CI; 1.7–9.4, P 0.001), male sex (OR 3.0, 95%CI; 1.4–6.6, P 0.006), the thrombus involvement in deep sinus system (OR 6.1, 95%CI; 1.1–76.9, P 0.04) and cerebral vein and dural sinus thrombosis (CVT) risk score ≥ 1 (OR 3.1, 95%CI; 1.3–7.5, P 0.014). Patients whose CVST was associated with hormonal therapy were found to have a lower risk of residual neurological symptoms (OR 0.2, 95%CI 0.1–0.6, P 0.004). Hormonal therapy was associated with anticoagulant discontinuation (OR 2.7, 95% CI 1.1–7.0; P = 0.04). The presence of malignancy increased the risk of bleeding (OR 5.8, 95% CI 1.4–24.1; P 0.016). Overall mortality was 2.8%. Of which 50% were related to major bleeding. Conclusions: A significant improvement in neurological outcomes was observed at 3 and 6 months after diagnosis. Older age, male sex, thrombus involvement in deep sinus system were associated with residual neurological symptoms. [ABSTRACT FROM AUTHOR]

Understanding the behaviour and ecological role of elasmobranchs is essential for their conservation, particularly in regions harbouring threatened and data-deficient species like the Inhambane coastline in southern Mozambique, southwestern Indian Ocean. This study employed long-life remote underwater video cameras (LL-RUV) to observe elasmobranch occurrence and behaviour at a rocky reef near Praia do Tofo known for frequent elasmobranch sightings. Between 2021 and 2024, 524 hours of LL-RUV data were collected, revealing the presence of 14 threatened and data-deficient elasmobranch species. Reef manta rays (Mobula alfredi), small eye stingrays (Megatrygon microps), and oceanic manta rays (Mobula birostris) were identified as the primary elasmobranch users of the studied cleaning stations (n = 81, n = 72 and n = 61 respectively), engaging in mutualistic interactions with cleaner fish and spending significant amounts of time at the studied reef. In contrast, spotted eagle rays (Aetobatus narinari) and blacktip sharks (Carcharhinus limbatus) were solely observed cruising over the reef without engaging in cleaning interactions (n = 40 and n = 27 respectively). In addition, this study provides evidence of intra- and inter-specific interactions between reef and oceanic manta rays, small eye stingrays and bowmouth guitarfish (Rhina ancylostoma) and co-occurrences of both manta ray species and smalleye stingrays with "hitchhiker" species including cobia (Rachycentron canadum) and remoras (Echeneis spp.). The use of LL-RUV cameras represents a significant advancement in marine research. These cameras enable continuous, non-intrusive, long-term monitoring of marine environments, capturing natural behaviours, while minimising disturbances caused by divers. As a result, more accurate observations of elasmobranch behaviour and cleaning station dynamics can be recorded, which might be missed during short-term surveys. This research highlights the potential of LL-RUV cameras as powerful tools for advancing our understanding of elasmobranch occurrence and behaviour and underscores their value in informing targeted and effective conservation strategies. Beyond elasmobranch research, LL-RUVs hold tremendous potential for studying a wide range of marine species and habitats, offering a versatile tool for ecological monitoring and conservation efforts across diverse marine ecosystems. [ABSTRACT FROM AUTHOR]

Simple Summary: While considering previously progressed metastatic castration-resistant prostate cancer (mCRPC) patients presenting deleterious BRCA1/2 mutations, poly(adenosine diphosphate–ribose) polymerase (PARP) inhibitors provide survival benefits over the current standard of care (SOC). PARP inhibitors are, however, associated with additional costs and their use is constrained by access to genetic testing, potentially placing an economic strain on the healthcare system. This paper aims to assess the cost-effectiveness of PARP inhibitors as a therapeutic class and not only as a single agent, considering approved and soon-to-be approved therapies. This flexible approach considers multiple treatment options comparing the SOC and PARP inhibitors to represent more accurately the clinical management of mCRPC and the potential impact of PARP inhibitors on the treatment landscape. Results from the Canadian healthcare system perspective suggest that PARP inhibitors are not cost-effective. This research impacts policymakers, guiding future reimbursement negotiations and future health economic research in the field. Background/Objectives: Through phase III clinical trials, PARP inhibitors have demonstrated outcome improvements in mCRPC patients with alterations in BRCA1/2 genes who have progressed on a second-generation androgen receptor pathway inhibitor (ARPI). While improving outcomes, PARP inhibitors contribute to the ever-growing economic burden of PCa. The objective of this project is to evaluate the cost-effectiveness of PARP inhibitors (olaparib, rucaparib, or talazoparib) versus the SOC (docetaxel or androgen receptor pathway inhibitors (ARPI)) for previously progressed mCRPC patients with BRCA1/2 mutations from the Canadian healthcare system perspective. Methods: Partitioned survival models were created to represent mCRPC disease after progression until death. Survival inputs for BRCA1/2-mutated patients were extracted from the PROfound, TRITON3, and TALAPRO-1 clinical trials, while Canadian-specific costs are presented in 2023 dollars. Upon progression, patients were treated with chemotherapy. The considered time horizon was 5 years and outcomes were discounted at 1.5% per year. Results: PARP inhibitors provide an additional survival of 0.19 quality-adjusted life years (QALY) when compared to the current standard of care, with additional costs of CAD 101,679 resulting in an incremental cost-utility ratio (ICUR) of CAD 565,383/QALY. The results were most sensitive to PARP inhibitors' acquisition costs and health-state utilities. PARP inhibitors required price reductions of up to 83% to meet the CAD 50,000/QALY willingness-to-pay threshold (WTP). Conclusions: While providing survival benefits to previously progressed mCRPC patients presenting deleterious BRCA1/2 gene mutations, PARP inhibitors are not cost-effective and require major price reductions to reach local WTP thresholds. [ABSTRACT FROM AUTHOR]

We examine whether investors value workforce gender diversity. Consistent with the view that investors believe workforce gender diversity can be valuable in major firms, we use event studies to demonstrate that U.S. technology firms and financial firms experience more positive stock price reactions when it is revealed that they have relatively higher (versus lower) workforce gender diversity numbers. For instance, we find that Google's revelation of relatively low workforce gender diversity numbers triggered a negative stock price reaction, whereas eBay's revelation of relatively high workforce gender diversity numbers triggered a positive stock price reaction. These stock price reactions are both economically and statistically significant; for example, we estimate that if a technology firm had revealed gender diversity numbers that were one standard deviation higher, its market valuation would have increased by $1.11 billion. Corroborating this plausibly causal field evidence, we also find positive investor reactions to workforce gender diversity in randomized experiments using Prolific participants with investing experience; these reactions seem to be underpinned by investors' beliefs about potential upsides of diversity for the firm (e.g., reduced legal risks; increased creativity) but not by investors' beliefs about potential downsides of diversity for the firm (e.g., increased conflict). Our findings highlight the importance of understanding investors' intuitions or beliefs about major organizational phenomena such as workforce gender diversity. Our results also point toward a new type of business case for diversity, driven by investors: if major firms had more workforce gender diversity, investors may "reward" them with substantially higher valuations. Funding: This research is supported by NUS (National University of Singapore) Startup Grant WBS A-0003900-00-00 to D. P. Daniels. [ABSTRACT FROM AUTHOR]

Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times and limited cross-subject adaptability, which restrict their practical application. This paper proposes an innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation. A lightweight feature extraction module is designed to extract key features from both the source and target domains, effectively reducing the model's parameters and improving the real-time performance and computational efficiency. To address differences in sample distributions, a domain adaptation strategy is introduced to optimize the feature alignment. Furthermore, domain adversarial training is employed to promote the learning of domain-invariant features, significantly enhancing the model's cross-subject generalization ability. The proposed method was evaluated on an fNIRS motor imagery dataset, achieving an average accuracy of 87.76% in a three-class classification task. Additionally, lightweight experiments were conducted from two perspectives: model structure optimization and data feature selection. The results demonstrated the potential advantages of this method for practical applications in motor imagery recognition systems. [ABSTRACT FROM AUTHOR]

Background and Objectives: Age-related hearing loss is a modifiable risk factor for mild cognitive impairment (MCI); however, the potential mechanisms linking these conditions remain unclear. Therefore, in this study, we analyzed the cognitive function profiles of elderly patients with hearing loss via functional near-infrared spectroscopy (fNIRS) to determine the cortical activity differences between patients at risk of MCI and those with normal cognition. Materials and Methods: Sixty-three elderly patients with bilateral, moderate, or severe hearing loss were prospectively recruited for this study. Their demographic information was obtained, and audiological evaluations and cognitive function tests were performed. Various instruments were used to assess the cognitive and depression domains. Additionally, fNIRS was used to image the brains of the normal group and group at risk of MCI. Results: fNIRS analysis of individual cognitive task data revealed that the normal group exhibited significantly higher oxygenated hemoglobin (HbO2) levels in all cognitive function tasks, except the Stroop color and word test, than the group at risk of MCI. Detailed comparisons of the Brodmann areas revealed that, compared to the group at risk of MCI, normal group exhibited significantly higher HbO2 levels in the right and left dorsolateral prefrontal cortices, ventrolateral prefrontal cortex, frontopolar cortex, and orbitofrontal cortex in the J1 task, right ventrolateral prefrontal cortex in the J2 task, and right orbitofrontal cortex in the J6 task. Conclusions: Measurement of fNIRS signals in the frontal lobes revealed different HbO2 signals between the normal group and group at risk of MCI during minimal hearing loss. Future studies should explore the causal link between hearing loss and cognitive impairment by analyzing the changes in cognitive function after auditory rehabilitation. [ABSTRACT FROM AUTHOR]

Field-resolved measurements of few-cycle laser waveforms allow access to ultrafast electron dynamics in light–matter interactions and are key to future lightwave electronics. Recently, sub-cycle gating based on nonlinear excitation in active pixel sensors has allowed the first single-shot measurements of mid-infrared optical fields. Extending the techniques to shorter wavelengths, however, is not feasible using silicon-based detectors with bandgaps in the near-infrared. Here, we demonstrate an all-optical sampling technique for near-infrared laser fields, wherein an intense fundamental field generates a sub-cycle gate through nonlinear excitation of a wide-bandgap crystal, in this case, ZnO, which can sample the electric field of a weak perturbing pulse. By using a crossed-beam geometry, the temporal evolution of the perturbing field is mapped onto a transverse spatial axis of the nonlinear medium, and the waveform is captured in a single measurement of the spatially resolved fluorescence emission from the crystal. The technique is demonstrated through field-resolved measurements of the field reshaping during nonlinear propagation in the ZnO detection crystal. [ABSTRACT FROM AUTHOR]

Decision support systems based on machine learning (ML) techniques are already empowering neuro-oncologists. These systems provide comprehensive diagnostics, offer a deeper understanding of diseases, predict outcomes, and assist in customizing treatment plans to individual patient needs. Collectively, these elements represent artificial intelligence (AI) in neuro-oncology. This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. We first cover general issues such as the physical basis of the optical-spectral methods used in neuro-oncology, and the basic algorithms used in spectral signal preprocessing, feature extraction, data clustering, and supervised classification methods. Then, we review in more detail the methodology and results of applying ML techniques to fluorescence, elastic and inelastic scattering, and IR spectroscopy. [ABSTRACT FROM AUTHOR]

PEG10 is a retroelement-derived Mart-family gene that is necessary for placentation and has been implicated in neurological disease. PEG10 resembles both retrotransposon and retroviral proteins and forms virus-like particles (VLPs) that can be purified using iodixanol ultracentrifugation. It is hypothesized that formation of VLPs is crucial to the biological roles of PEG10 in reproduction and neurological health. Here, we describe the regulation of PEG10 VLP formation and release in human cells with a role for the related Mart gene RTL8. RTL8 resembles a truncated form of PEG10 that shares homology with the N-terminal gag-like capsid domain. Alone, RTL8 is unable to form VLPs, but was incorporated into PEG10-derived particles. RTL8 co-expression decreased the abundance of PEG10 VLPs and increased intracellular levels of PEG10, suggesting a model where RTL8 inhibits PEG10 VLP formation or release. Consistent with this model, RTL8 bound to the N-terminal domain of PEG10 capsid, and modulation of RTL8 influenced PEG10-derived VLP abundance in naturally producing cells. RTL8 is broadly expressed in many of the same tissues as PEG10, including in human brain. Taken together, these results describe a novel antagonistic relationship between two human retroelement-derived genes and have implications for our understanding of PEG10 biology and disease. [ABSTRACT FROM AUTHOR]