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Bright Bursts with Submillisecond Structures of FRB 20230607A in a Highly Magnetized Environment
No full textWe report the observations of a repeating FRB 20230607A for 15.6 hr spanning 16 months using the Five-hundred-meter Aperture Spherical Radio Telescope with the detection of 565 bursts. We present three bright bursts with detailed temporal/spectral structures. We also report that one burst carries a narrow component with a width of only 0.3 ms, which is surrounded by broader components. This suggests that repeaters can make both narrow and broad components in one burst. With the narrow spike, we precisely measure the dispersion measure of 362.85 ± 0.15 pc cm−3 and the Faraday rotation measures (RMs) of −12249.0 ± 1.5 rad m−2. We also analyze the statistical distribution of the burst parameters, including waiting times, temporal widths, central frequencies and frequency widths, fluences and energies, all showing typical distributions of known active repeaters. In particular, most bursts show narrow spectra with Δν/ν0 = 0.125 ± 0.001. This fact, together with the narrow 0.3 ms spike, strongly suggests a magnetospheric origin of the FRB emission. Based on a predicted correlation between RM and the luminosity of a persistent radio source (PRS) by Yang et al., we predict that the PRS should have a specific luminosity of the order of 1029 erg s−1 Hz−1 and encourage a search for such a PRS.link_to_subscribed_fulltex
EP240801a/XRF 240801B: An X-Ray Flash Detected by the Einstein Probe and the Implications of Its Multiband Afterglow
No full textWe present multiband observations and analysis of EP240801a, a low-energy, extremely soft gamma-ray burst (GRB) discovered on 2024 August 1 by the Einstein Probe (EP) satellite with a weak contemporaneous signal also detected by the Fermi Gamma-ray Burst Monitor (GBM). Optical spectroscopy of the afterglow, obtained by Gran Telescopio Canarias and Keck, identified the redshift of z = 1.6734. EP240801a exhibits a burst duration of 148 s in X-rays and 22.3 s in gamma rays, with X-rays leading by 80.61 s. Spectral lag analysis indicates that the gamma-ray signal arrived 8.3 s earlier than the X-rays. Joint spectral fitting of EP Wide-field X-ray Telescope and Fermi/GBM data yields an isotropic energy E γ , iso = ( 5.5 7 − 0.50 + 0.54 ) × 1 0 51 erg , a peak energy E peak = 14.9 0 − 4.71 + 7.08 keV , and a fluence ratio S(25-50 keV)/S ( 50 - 100 keV ) = 1.6 7 − 0.46 + 0.74 , classifying EP240801a as an X-ray flash (XRF). The host-galaxy continuum spectrum, inferred using Prospector, was used to correct its contribution for the observed outburst optical data. Unusual early R-band behavior and EP Follow-up X-ray Telescope observations suggest multiple components in the afterglow. Three models are considered: a two-component jet model, a forward-reverse shock model, and a forward shock model with energy injection. All three provide reasonable explanations. The two-component jet model and the energy injection model imply a relatively small initial energy and velocity of the jet in the line of sight, while the forward-reverse shock model remains typical. Under the two-component jet model, EP240801a may resemble GRB 221009A (BOAT) if the bright narrow beam is viewed on-axis. Therefore, EP240801a can be interpreted as an off-beam (narrow) jet or an intrinsically weak GRB jet. Our findings provide crucial clues for uncovering the origin of XRFs.link_to_subscribed_fulltex
Bonding and parent-child quality of interaction in parents with eating disorder: A scoping review
No full textObjective: To summarise existing evidence on bonding and parent-child quality of interaction in parents with eating disorder (ED). Methods: A scoping review was conducted. Seven databases (PsycInfo, Embase, Medline, Pubmed, OpenGrey, ProQuest and Google Scholar) were examined and studies exploring research into bonding and quality of interaction in parents with ED were included. Results: Seventeen quantitative studies were included in the review. Reviewed literature suggests that parents with ED tend to be more intrusive, may exhibit more negative expressed emotions and may be involved in higher levels of mealtime conflicts during mealtimes. Additionally, they may be less sensitive and may offer less structured in non-feeding interactions. Children of parents with ED may have a more difficult temperament, may display greater internalisation and externalisation problems, may be less responsive to their parents and exhibit more behavioural difficulties. Conclusion: Overall, we found that parents with ED are more likely to have difficulties during interactions with children, compared with controls, both in feeding and non-feeding contexts which might impact children's mental health. Proposals for future research are suggested to enhance our understanding of the intergenerational transmission of ED, holding the potential to pinpoint therapeutic and preventative targets for both parents with ED and their children.link_to_subscribed_fulltex
Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank
No full textSocioeconomic status (SES) impacts health and life-course outcomes. This genome-wide association study (GWAS) of sociologically informed occupational status measures (ISEI, SIOPS, CAMSIS) using the UK Biobank (N = 273,157) identified 106 independent single-nucleotide polymorphisms of which 8 are novel to the study of SES. Genetic correlations with educational attainment (rg = 0.96–0.97) and income (rg = 0.81–0.91) point to a common genetic factor for SES. We observed a 54–57% reduction in within-family predictions compared with population-based predictions, attributed to indirect parental effects (22–27% attenuation) and assortative mating (21–27%) following our calculations. Using polygenic scores from population predictions of 5–10% (incremental R2 = 0.023–0.097 across different approaches and occupational status measures), we showed that (1) cognitive and non-cognitive traits, including scholastic and occupational motivation and aspiration, link polygenic scores to occupational status and (2) 62% of the intergenerational transmission of occupational status cannot be ascribed to genetic inheritance of common variants but other factors such as family environments. Finally, links between genetics, occupation, career trajectory and health are interrelated with parental occupational status.link_to_subscribed_fulltex
Predicting the treatment outcomes of major depressive disorder interventions with baseline resting-state functional connectivity: a meta-analysis
Get PDFBackground: Current interventions for major depressive disorder (MDD) demonstrate limited and heterogeneous efficacy, highlighting the need for improving the precision of treatment. Although findings have been mixed, resting-state functional connectivity (rsFC) at baseline shows promise as a predictive biomarker. This meta-analysis evaluates the evidence for baseline rsFC as a predictor of treatment outcomes of MDD interventions. Method: We included MDD literature published between 2012 and 2024 that used antidepressants, non-invasive brain stimulation, and cognitive behavioral therapy. Pearson correlations or their equivalents were analyzed between baseline rsFC and treatment outcome. Nodes were categorized according to the type of brain networks they belong to, and pooled coefficients were generated for rsFC connections reported by more than three studies. Result: Among the 16 included studies and 892 MDD patients, data from nine studies were used to generate pooled coefficients for the rsFC connection between the frontoparietal network (FPN) and default mode network (DMN), and within the DMN (six studies each, with three overlapping studies, involving 534 and 300 patients, respectively). The rsFC between the DMN and FPN had a pooled predictability of -0.060 (p = 0.171, fixed effect model), and the rsFC within the DMN had a pooled predictability of 0.207 (p < 0.001, fixed effect model). The rsFC between the DMN and FPN and the rsFC within the DMN had a larger effect in predicting the outcome of non-invasive brain stimulation (-0.215, p < 0.001, fixed effect model) and antidepressants (0.315, p < 0.001, fixed effect model), respectively. Heterogeneity was observed in both types of rsFC, study design, sample characteristics and data analysis pipeline. Conclusion: Baseline rsFC within the DMN and between the DMN and FPN demonstrated a small but differential predictive effect on the outcome of antidepressants and non-invasive brain stimulation, respectively. The small predictability of rsFC suggested that rsFC between the FPN and DMN and the rsFC within the DMN might not be a good biomarker for predicting treatment outcome. Future research should focus on exploring treatment-specific predictions of baseline rsFC and its predictive utility for other types of MDD interventions. Trial registration: The review was pre-registered at PROSPERO CRD42022370235 (33).published_or_final_versio
Learning analytics in inquiry-based learning: a systematic review
Get PDFInquiry-based learning (IBL) is a practice-oriented approach where students pose questions, conduct investigations, and interpret data to develop scientific knowledge and exploratory skills. Learning analytics (LA) holds great potential to capture these dynamic processes, which provides valuable insights to understand student inquiry behaviours and support their practical performance. However, limited studies have systematically examined how LA can be applied to understand and support IBL, limiting its practical applications for both teachers and students. This study synthesises findings from 51 studies to explore research trends, theoretical foundations, LA implementation in understanding IBL processes, and the impacts of LA-supported IBL. The findings reveal that most studies, guided by IBL-related or broader learning theories, focus on tracking students’ general inquiry engagement (individually and collaboratively) and specific investigation behaviours, with limited attention to critical stages of inquiry, such as hypothesis generation, data interpretation, group collaboration, and their interactions among these multistage tasks. Some studies demonstrate that LA-based tools, like dashboards and resource recommendations, have significant potential to enhance students’ inquiry processes and empower teachers in designing and implementing effective inquiry activities, while empirical evidence remains insufficient to understand how these LA-supported IBL shape student inquiry processes and outcomes. This review identifies several research gaps and proposes future directions to advance the integration of LA in understanding and supporting both students and teachers in IBL contexts, aiming to promote more effective and evidence-based applications of LA in inquiry activities.published_or_final_versio
Maximum and Minimum Causal Effects of Physical Processes
Get PDFWe introduce two quantitative measures of the strength of causal relations in quantum theory and more general physical theories. These two measures, called the maximum and minimum causal effect, quantify the maximum and minimum changes in the output of a quantum process induced by changes in its input. The maximum and minimum causal effect possesses useful properties, such as continuity and data-processing inequality. In quantum theory, they have close connections with quantum information tasks. The maximum quantum causal effect can be used to detect quantum channels with nonzero capacity for transmitting classical information. The minimum causal effect can be used to guarantee the recoverability of quantum information: every quantum process with a high value of the minimum quantum causal effect can be approximately inverted. Moreover, we show that the quantum causal effects satisfy a duality relation: if the minimum causal effect of a quantum system A on another quantum system B is high, then A must have a low value of the maximum causal effect on any other quantum system B′ that is spacelike separated with B. This duality implies a monogamy relation for quantum causal effects, and represents a fundamental difference between quantum and classical causal relations. We illustrate the application of the maximum causal effect to the analysis of two paradigmatic examples, the first involving a coherent superposition of direct cause and common cause, and the second involving a coherent superposition of multiple quantum processes.published_or_final_versio
Moderate-to-Vigorous Physical Activity and Suicidal Ideation in Adolescents with Attention Deficit/Hyperactivity Disorder: the Mediating Effects of Mental Health
Get PDFThis study aimed to (a) examine whether device-assessed moderate-to-vigorous physical activity (MVPA) was associated with suicidal ideation (SI) in adolescents with attention-deficit/hyperactivity disorders (ADHD), (b) investigate whether the association was mediated by depression, and (c) assess whether anxiety, stress, and resilience would work with depression to constitute chain mediation paths between MVPA and SI. Sixty adolescents with ADHD aged 12–17 (Mage = 14.33 ± 1.43 years) met the inclusion criteria. MVPA data were assessed using accelerometers worn around the waist for seven consecutive days. SI, depression, anxiety, stress, and resilience were examined using self-report questionnaires. Bivariate correlations were estimated for all variables. Lavaan package was used to examine the association between MVPA and SI, and the mediating effects of depression, anxiety, stress, and resilience by adjusting for a minimally sufficient confounder set and applying the bootstrap method. MVPA was negatively associated with SI. Depression fully mediated this association. Anxiety, stress, and resilience combining with depression formed three chain mediation paths between MVPA and SI, respectively. The integrative mediation model, including anxiety, stress, resilience, and depression, revealed that anxiety and depression explained 38.2% of the variance in the association between MVPA and SI, and resilience and depression explained 22.1%, while stress did not. MVPA could serve as an alternative or adjunctive approach, particularly in conjunction with depression-focused interventions, to increase resilience, decrease anxiety and depression, and in turn to prevent or attenuate SI in adolescents with ADHD.published_or_final_versio
A Joint Learning of Force Feedback of Robotic Manipulation and Textual Cues for Granular Materials Classification
No full textGranular materials (GMs) are formed by a collection of particles. Even if their visual representation is straightforward, it can be seriously affected in the visually constrained environment. Based on frequency features observed in force signals, this paper proposes a non-visual classifier, GmClass, using the force feedback in the robot-granules interaction. Specifically, we transform the force sequences into the frequency domain and integrate them with high-dimensional textual information into a two-branch architecture for multimodal supervised contrastive learning (MSCL). This method achieves an 84.10% classification accuracy, surpassing traditional supervised learning by 10% and outperforming supervised contrastive learning by more than 40%, demonstrating the positive impact of adding text modality on classification, and when applied to a larger dataset, it attains an even higher 85.28% accuracy, further validating its effectiveness. Also, we demonstrate the performance of our approach in handling unseen particles and the generalization capability for varying data collection parameters.</p
Computational optical imaging: on the convergence of physical and digital layers
Get PDFOptical imaging has traditionally relied on hardware to fulfill its imaging function, producing output measures that mimic the original objects. Developed separately, digital algorithms enhance or analyze these visual representations, rather than being integral to the imaging process. The emergence of computational optical imaging has blurred the boundary between hardware and algorithm, incorporating computation in silico as an essential step in producing the final image. It provides additional degrees of freedom in system design and enables unconventional capabilities and greater efficiency. This mini-review surveys various perspectives of such interactions between physical and digital layers. It discusses the representative works where dedicated algorithms join the specialized imaging modalities or pipelines to achieve images of unprecedented quality. It also examines the converse scenarios where hardware, such as optical elements and sensors, is engineered to perform image processing, partially or fully replacing computer-based counterparts. Finally, the review highlights the emerging field of end-to-end optimization, where optics and algorithms are co-designed using differentiable models and task-specific loss functions. Together, these advancements provide an overview of the current landscape of computational optical imaging, delineating significant progress while uncovering diverse directions and potential in this rapidly evolving field.published_or_final_versio