Miracle-dz/UniFAR-FTUs huggingface dataset:
The Masses of Supernova Remnant Progenitors in M33

Using resolved optical stellar photometry from the Panchromatic Hubble Andromeda Treasury Triangulum Extended Region survey, we measured the star formation history near the position of 85 supernova remnants (SNRs) in M33. We constrained the progenitor masses for 60 of these SNRs, finding that the remaining 25 remnants had no local star formation in the last 56 Myr, consistent with core-collapse supernovae, making them potential Type Ia candidates. We then infer a progenitor mass distribution from the age distribution, assuming single star evolution. We find that the progenitor mass distribution is consistent with being drawn from a power law with an index of −2.9−1.0+1.2 . Additionally, we infer a minimum progenitor mass of 7.1−0.2+0.1 M ⊙ from this sample, consistent with several previous studies, providing further evidence that stars with ages older than the lifetimes of single 8 M ⊙ stars are producing supernovae.
Real-time environmental radiation monitoring based on locally developed low-cost device and unmanned aerial vehicle

In this study, a low-cost local device based on an Unmanned Aerial Vehicle (UAV) for real-time environmental radiation monitoring is proposed. The device consists of a Geiger-Müller ZP 1200 counter for gamma radiation detection and an appropriate electronic circuit for processing and shaping the detected pulses. The Geiger-Müller detector used is low-cost, insensitive to environmental temperature variations, and can be operated continuously over a long period. Two different methods were performed to calibrate the designed device, namely the use of a programmable nuclear pulse generator for electronic calibration and a Cs-137 gamma-ray calibration source. A long flight time UAV is developed locally with suitable characteristics and adapted to carry the radiation detection device. The designed UAV mainly consists of a multi-flight controller having an intelligent switching system associated with a GPS Module for accurate position-keeping and four heavy lift motors. The use of UAVs has the advantage that it allows measurements to be taken over large areas, even those that are difficult to access, and avoids exposing people to radiation. The flight measurement tests were carried out in the urban area of Yaoundé-Cameroon, at an altitude of 15 to 100 meters with a sweeping speed of about 20 km/h for 36 days from January 01, 2023, to February 06, 2023. The tests showed that the concentrations collected varied between 0.00697 μSv/h and 0.8706 μSv/h, of which 85.71% of data have a concentration below the threshold (0.3 μSv/h) and 14.29% above this threshold. These tests confirm that the developed radiation detection system works properly and is suitable for environmental radiation protection and nuclear safety activities.
Associations of self-efficacy and outcome expectancy with adherence to continuous positive airway pressure therapy in Japanese patients with obstructive sleep apnea

Objective: To examine the associations of self-efficacy and outcome expectancy with adherence to continuous positive airway pressure (CPAP) therapy among Japanese men with obstructive sleep apnea (OSA) using objective adherence data for CPAP therapy. Methods: We conducted a retrospective study of 497 Japanese men with OSA who were receiving CPAP therapy. Good adherence was defined as CPAP use of ≥4 hours per night for ≥70% of nights. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations of good adherence to CPAP therapy with self-efficacy and outcome expectancy (measured with the CPAP Self-Efficacy Questionnaire for Sleep Apnea in Japanese). The models were adjusted for age, duration of CPAP therapy, body mass index, apnea–hypopnea index, Epworth Sleepiness Scale score, and comorbidities (diabetes mellitus and hypertension). Results: In total, 53.5% of participants had good adherence to CPAP therapy. The mean CPAP use was 5.18±1.53 hours/night. After adjusting for related factors, we found significant associations of good adherence to CPAP therapy with self-efficacy scores (OR, 1.10; 95% CI, 1.05–1.13; p<0.001) and outcome expectancy scores (OR, 1.10; 95% CI, 1.02–1.15; p=0.007). Conclusions: Our results indicate that self-efficacy and outcome expectancy are associated with good adherence to CPAP therapy among Japanese men with OSA.
In vitro myelination using explant culture of dorsal root ganglia: An efficient tool for analyzing peripheral nerve differentiation and disease modeling

Peripheral nerves conducting motor and somatosensory signals in vertebrate consist of myelinated and unmyelinated axons. In vitro myelination culture, generated by co-culturing Schwann cells (SCs) and dorsal root ganglion (DRG) neurons, is an indispensable tool for modeling physiological and pathological conditions of the peripheral nervous system (PNS). This technique allows researchers to overexpress or downregulate molecules investigated in neurons or SCs to evaluate the effect of such molecules on myelination. In vitro myelination experiments are usually time-consuming and labor-intensive to perform. Here we report an optimized protocol for in vitro myelination using DRG explant culture. We found that our in vitro myelination using DRG explant (IVMDE) culture not only achieves myelination with higher efficiency than conventional in vitro myelination methods, but also can be used to observe Remak bundle and non-myelinating SCs, which were unrecognizable in conventional methods. Because of these characteristics, IVMDE may be useful in modeling PNS diseases, including Charcot Marie Tooth disease (CMT), in vitro. These results suggest that IVMDE may achieve a condition more similar to peripheral nerve myelination observed during physiological development.
Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNet

This study aimed to develop a convolutional neural network (CNN) using the EfficientNet algorithm for the automated classification of acute appendicitis, acute diverticulitis, and normal appendix and to evaluate its diagnostic performance. We retrospectively enrolled 715 patients who underwent contrast-enhanced abdominopelvic computed tomography (CT). Of these, 246 patients had acute appendicitis, 254 had acute diverticulitis, and 215 had normal appendix. Training, validation, and test data were obtained from 4,078 CT images (1,959 acute appendicitis, 823 acute diverticulitis, and 1,296 normal appendix cases) using both single and serial (RGB [red, green, blue]) image methods. We augmented the training dataset to avoid training disturbances caused by unbalanced CT datasets. For classification of the normal appendix, the RGB serial image method showed a slightly higher sensitivity (89.66 vs. 87.89%; p = 0.244), accuracy (93.62% vs. 92.35%), and specificity (95.47% vs. 94.43%) than did the single image method. For the classification of acute diverticulitis, the RGB serial image method also yielded a slightly higher sensitivity (83.35 vs. 80.44%; p = 0.019), accuracy (93.48% vs. 92.15%), and specificity (96.04% vs. 95.12%) than the single image method. Moreover, the mean areas under the receiver operating characteristic curve (AUCs) were significantly higher for acute appendicitis (0.951 vs. 0.937; p < 0.0001), acute diverticulitis (0.972 vs. 0.963; p = 0.0025), and normal appendix (0.979 vs. 0.972; p = 0.0101) with the RGB serial image method than those obtained by the single method for each condition. Thus, acute appendicitis, acute diverticulitis, and normal appendix could be accurately distinguished on CT images by our model, particularly when using the RGB serial image method.
The effects of an integrated exercise and cardiovascular health education programme on community-dwelling older adults at risk of atherosclerotic cardiovascular diseases: A study protocol for a randomised controlled trial

Background Although older adults are at an increased risk of atherosclerotic cardiovascular disease (ASCVD), the effect of an integrated exercise and cardiovascular health education programme based on self-efficacy theory has not been well investigated among older adults. This study aims at examining the effect of this programme on community-dwelling older adults at risk of ASCVD concerning physical activity level, exercise self-efficacy and ASCVD risk profile. Methods A parallel two-arm randomised controlled trial with pretest-posttest design will be performed among 190 Chinese community-dwelling adults aged 60 or above in elderly community centres of the Guangdong-Hong Kong-Macao Greater Bay Area. Eligible participants will be randomised by computerised generation. Experimental group will receive a 12-week integrated exercise and cardiovascular health education programme, which comprises a one-hour group-based health education talk conducted at Week 1, a booklet, a lecture video, a tailor-made exercise video, and a booster intervention by text messaging starting from Week 1 to Week 12. Control group will receive placebo intervention including a talk on basic health issues, a lecture video and corresponding leaflet. The outcomes will be investigated through self-report questionnaires and physiological evaluations at baseline, Week 12, Week 24, and Week 36. Physical activity level, exercise self-efficacy and ASCVD risk profile will be assessed, with physical activity level at Week 24 considered the primary outcome. The main intervention effect (group differences on continuous outcome variables) will be examined via Generalized Estimating Equations with identity link. Discussion This study findings will provide clues to the effect of the integrated exercise and cardiovascular health education programme, which is theoretically underpinned with self-efficacy theory, in older adults at risk of ASCVD. It will also enhance the quality of community health education by providing insight into the effective teaching strategies targeting older adults. Trial registration This study has been registered on ChinicalTrial.gov (Trial ID: NCT05434273).
Dependence of the Magnetopause Position on the Upstream Parame ters

We have c ollected data set of more than 7000 crossings of the subsolar and flank low-latitude magnetopause observed by five THEMIS spacecraft in course of the 2007-2009 years and analyzed the difference between observed magnetopause radial distances and those predicted by empirical magnetopause model. The data propagated from the L1 point as well as the measurements of the near-Earth solar wind monitors (whenever available) were used as a model input. The interplanetary magnetic field (IMF) is one of the solar wind parameters which strongly affects the interaction of the solar wind - magnetosphere coupling. In particular, the IMF BZ component is one of the parameters usually accounted in magnetopause models, nevertheless, some models ignore its influence. Moreover, several studies note the influence of a radial IMF orientation on the subsolar magnetopause position. In this study, we compare different effects of upstream conditions on the deviations of observed magnetopause crossings from model predictions and propose possible corrections.
Numerical integration methods based on variation diminishing polynomial approximation for the solution of algebraic differential equations in the context of circuit simulation

Numerical integration techniques based on the Bernstein approximation are presented. A common approach to solving the initial value problems representing the algebraic differential equations is to formulate the solution as a polynomial function. In general, any algorithm capable of calculating the exact value of the unknown state variable for an initial value problem having an exact solution in the form of a kth degree polynomial is called a numerical integration formula of order k. Of course, in almost all cases the exact solution is not a polynomial, and the solution is an approximate one. However, the Weiestrass approximation theorem asserts that any continuous function can be uniformly approximated within any closed interval by a polynomial of sufficiently high degree. Hence, even if the solution is not a polynomial, a numerical integration formula of sufficiently high order can, in principle, be used to evaluate the state variable to any desired accuracy. Not all polynomial interpolants, however, would satisfy Weiestrass approximation theorem. Bernstein polynomials provide a weighted uniform approximation basis, and they are also used to construct one of the many proofs of the Weiestrass approximation theorem. Predictor-based integration formulas are obtained by formulating the solution function as a Bernstein polynomial. <<ETX>>
Potentially inappropriate medications use in a psychiatric elderly care hospital: A cross‐sectional study using Beers criteria

Potentially inappropriate medications (PIMs) carry risks that outweigh any potential benefits when compared to safer or more effective alternative treatments. Adverse drug events are more likely to occur in older adults with psychiatric diseases due to multimorbidity, polypharmacy, and age‐related changes in drug pharmacokinetics and pharmacodynamics. The aim of this study was to assess the prevalence and risk factors of PIM use in an aged care hospital's psychogeriatric division, using the American Geriatrics Society Beers criteria 2019.
A New Validation of Montreal Cognitive Assessment on a Large Sample of Elderly Patients Undergoing Elective Orthopedic Surgery

Objective The hip and knee arthroplasties are reliable and suitable surgical procedures aimed at restoring the patients’ functioning. The most representative age range for these replacement surgeries is between 65 and 84 years for females. With aging, the likelihood of developing cognitive deficits increases, and there is evidence that elderly patients undergoing surgery orthopedic are at higher risk of developing cognitive problems in the postoperative phase. The Montreal Cognitive Assessment (MoCA) is often used for cognitive evaluation, but different cut-offs and validations are available in the literature. Given the importance of the problem, in this work we studied a hospitalized population candidate for orthopedic surgery to determine a new specific validation of the MoCA to assess the risk of MCI. Method We applied MoCA and Mini-Mental State Examination (MMSE) to a sample of 492 (333 women) hospitalized patients for knee (74%) or hip surgery. A non-parametric receiver operating characteristic (ROC) curve analysis was conducted to investigate the predictive accuracy of the MoCA to assess cognitive impairment, using MMSE as the gold standard. Results A score of 22.52 gives a sensitivity of 70% and a specificity of 78%. This value is providing a more coherent diagnosis with the MMSE as compared to the other cut-offs presented in the other available validations. No differences were found between patients in terms of age and gender, suggesting a general uniformity of the selected sample. Conclusions Deepening the coherence in MCI diagnosis between MMSE and the other MoCA's scoring considered, our new cut-off seems reasonably better than previous Italian validation on an elderly population in matching MMSE classification.
Peptidomimetic antibiotics disrupt the lipopolysaccharide transport bridge of drug-resistant Enterobacteriaceae

The rise of antimicrobial resistance poses a substantial threat to our health system, and, hence, development of drugs against novel targets is urgently needed. The natural peptide thanatin kills Gram-negative bacteria by targeting proteins of the lipopolysaccharide transport (Lpt) machinery. Using the thanatin scaffold together with phenotypic medicinal chemistry, structural data, and a target-focused approach, we developed antimicrobial peptides with drug-like properties. They exhibit potent activity against Enterobacteriaceae both in vitro and in vivo while eliciting low frequencies of resistance. We show that the peptides bind LptA of both wild-type and thanatin-resistant Escherichia coli and Klebsiella pneumoniae strains with low-nanomolar affinities. Mode of action studies revealed that the antimicrobial activity involves the specific disruption of the Lpt periplasmic protein bridge.
Test and Analysis on the Atmospheric Turbulence for the Optics Wireless Communication Channel

The atmospheric turbulence's daily characteristic is concluded by a long term experimental study,which can be drawn as: the measured turbulence strength is usually week from 7 p.m. to 8 a.m.on the order of 10-15m-2/3,but it is always strong from 1 p.m. to 2 p.m. on the order of 10-13m-2/3.In addition,the test principle of instrument is analyzed.The relationship between turbulence strength and atmospheric temperature structure function and measurement precision is derived to evaluate the experimental result.This research provides fundamental data for atmospheric turbulence research on the optics wireless communication system.
Non-invasive Brain Stimulation in Post-stroke Dysphagia Rehabilitation: A Narrative Review of Meta-analyses in 2022

ABSTRACT Objectives: This study aimed to update the current knowledge on non-invasive brain stimulation (NIBS) effects, such as repetitive transcranial brain stimulation and transcranial direct current stimulation, in patients with post-stroke dysphagia (PSD). Methods: We summarized the basic principles and therapeutic strategies of NIBS. We then reviewed nine meta-analyses from 2022 that investigated the efficacy of NIBS in PSD rehabilitation. Results: Although dysphagia is a common and devastating sequela of stroke, the efficacy of conventional swallowing therapies remains controversial. NIBS techniques have been proposed as promising approaches for managing PSD via neuromodulation. Recent meta-analyses have shown that NIBS techniques are beneficial for the recovery of patients with PSD. Conclusions: NIBS has the potential to become a novel alternative treatment for PSD rehabilitation.
A Reexamination of the Mechanisms Responsible for Banded Precipitation

Abstract The processes responsible for a banded snowfall region during a December 1997 East Coast storm are examined. Conventional data plus a numerical simulation with the fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) are used. Calculations of slantwise potential area near the bands suggest that the release of conditional symmetric instability played a role in their formation. The location and timing for the appearance of negative moist potential vorticity (MPV) cannot, however, be reconciled with band formation. A balanced MPV model based on the geostrophic momentum approximation is developed. It provided new insights into the mechanisms of MPV generation. A swath of negative balanced MPV now coincides with the snowbands. MPV sources are proposed that are linked to a vigorous mesoscale updraft near the bands. The updraft occurred on the warm, moist side of a zone of midtroposphere frontogenesis. Negative MPV develops through differential ageostrophic transports of geostrophic.
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer

In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text description, and synthesizing the novel stylized view, which is more flexible than the image-conditioned style transfer. Compared with the previous 2D method CLIPStyler, we are able to stylize a 3D scene and generalize to novel scenes without re-train our model. A straightforward solution is to combine previous image-conditioned 3D style transfer and text-conditioned 2D style transfer \bigskip methods. However, such a solution cannot achieve our goal due to two main challenges. First, there is no multi-modal model matching point clouds and language at different feature scales (low-level, high-level). Second, we observe a style mixing issue when we stylize the content with different style conditions from text prompts. To address the first issue, we propose a 3D stylization framework to match the point cloud features with text features in local and global views. For the second issue, we propose an improved directional divergence loss to make arbitrary text styles more distinguishable as a complement to our framework. We conduct extensive experiments to show the effectiveness of our model on text-guided 3D scene style transfer.
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing

In healthcare, accurately classifying medical images is vital, but conventional methods often hinge on medical data with a consistent grid structure, which may restrict their overall performance. Recent medical research has been focused on tweaking the architectures to attain better performance without giving due consideration to the representation of data. In this paper, we present a novel approach for transforming grid based data into its higher dimensional representations, leveraging unstructured point cloud data structures. We first generate a sparse point cloud from an image by integrating pixel color information as spatial coordinates. Next, we construct a hypersurface composed of points based on the image dimensions, with each smooth section within this hypersurface symbolizing a specific pixel location. Polygonal face construction is achieved using an adjacency tensor. Finally, a dense point cloud is generated by densely sampling the constructed hypersurface, with a focus on regions of higher detail. The effectiveness of our approach is demonstrated on a publicly accessible brain tumor dataset, achieving significant improvements over existing classification techniques. This methodology allows the extraction of intricate details from the original image, opening up new possibilities for advanced image analysis and processing tasks.
Reimagining Demand-Side Management with Mean Field Learning

Integrating renewable energy into the power grid while balancing supply and demand is a complex issue, given its intermittent nature. Demand side management (DSM) offers solutions to this challenge. We propose a new method for DSM, in particular the problem of controlling a large population of electrical devices to follow a desired consumption signal. We model it as a finite horizon Markovian mean field control problem. We develop a new algorithm, MD-MFC, which provides theoretical guarantees for convex and Lipschitz objective functions. What distinguishes MD-MFC from the existing load control literature is its effectiveness in directly solving the target tracking problem without resorting to regularization techniques on the main problem. A non-standard Bregman divergence on a mirror descent scheme allows dynamic programming to be used to obtain simple closed-form solutions. In addition, we show that general mean-field game algorithms can be applied to this problem, which expands the possibilities for addressing load control problems. We illustrate our claims with experiments on a realistic data set.