Miracle-dz/UniFAR-FTUs huggingface dataset:
ACOUSTIC INTERFEROMETERS BASED ON TWO-DIMENSIONAL ARRAYS OF RIGID CYLINDERS IN AIR

This work presents a comprehensive study of acoustic interferometers based on sonic crystals, such as the one reported by Cervera et al. in Phys. Rev. Lett. 88, 023902 (2002). This kind of interferometers consist of a slab of rigid cylinders in air put in a periodic configuration. Their performance as a function of thickness and symmetry configuration (square and hexagonal) is analyzed by our setup, which obtains the reflectance spectra using the standing wave ratio technique. Experimental observations are fairly well simulated by a self-consistent wave theory that incorporates all orders of multiple scattering. An homogenization procedure shows that sound propagation inside the hexagonal-based crystals is isotropic while it is biaxial inside the square-based crystals. A method able to extract the acoustic band structure from the reflectance spectra of the finite crystals under study is also described. Finally, the robustness of the interference effects is also studied as a function of positional disorder inside the unit cells in the lattice.
Auxiliary Heated Multipellet-Fuelled Discharges in ASDEX and Influence of Density Profile Shape on Confinement

Strongly peaked electron density profiles have been obtained in ASDEX by different refuelling methods: pellet fuelling (ohmic and co-injection heating), NBI counter-injection and recently by reduced gas puff fuelling scenarios. These discharges show in common increased density limits, a canonical electron temperature profile independent of the density profile and an improvement of the particle and energy confinement. Whereas the changes in particle transport are not fully understood, transport analyses point out that the improved energy transport can be explained by reduced ion conduction losses coming close to the neoclassical ones. The different results for the ion transport with flat and peaked density profiles are quantitatively consistent with that expected from eta i-driven modes. The analyses cannot yet explain the anomalous electron energy transport, apart from identified continuous trends such as inverse scaling with the isotope mass and enhancement with heating power.
Transformational leadership and flourishing in Portuguese professional firefighters: The moderating role of the frequency of intervention in rural fires

Introduction The main objective of this study is to analyze the effect of transformational leadership on firefighters’ well-being and understand the moderating role of the frequency of intervention in rural fires in this relationship. Methods A total of 90 responses of Portuguese professional firefighters were analyzed in two waves (T1 and T2) separated by a period of 3 weeks during which the frequency of intervention in rural fires were also recorded on a daily basis. Results There is a direct and positive effect, albeit small, of the transformational leadership dimensions on flourishing. Moreover, the frequency of intervention in rural fires amplified the effect of individual consideration on this wellbeing indicator, and it was observed that the more frequent the firefighters intervene in rural fires, the stronger the effect of this leadership dimension on their flourishing. Discussion These results contribute to the literature to the extent that they highlight the role of transformational leadership in promoting well-being in high-risk professions, thus supporting the assumptions of the Conservation of Resources Theory (COR). Some practical implications are presented, as well as limitations and suggestions for future studies.
Amplified spontaneous emission and carrier pinning in laser diodes

Theoretical and experimental results for the temperature dependence of amplified spontaneous emission (ASE) in laser diodes (LDs) and light-emitting diodes (LEDs) are presented. The theoretical model takes into account conduction band nonparabolicity and band-gap renormalization. The gain spectrum is calculated from the theoretical spontaneous emission spectrum, and both compare very well with experimental data. From a fit to the observed temperature dependence of ASE for an LED and the gain spectrum for an LD with a structure identical to that of the LED except for mirror reflectivity, it is possible to establish carrier density as a function of injection current for both devices. It is shown that photons fluctuating into cavity modes give rise to substantial subthreshold carrier pinning in laser diodes. These fluctuations extract an extra current from the device and play an increasingly important role with increasing temperature. >
Un Test Simple de l'Hypothèse de Non Causalité dans un Modèle de Panel Hétérogène

This paper proposes a simple test of Granger [1969] non causality hypothesis in heterogeneous panel data models with fixed coefficients. It proposes a statistic of test based on averaging standard individual Wald statistics of Granger non causality tests. First, this statistic is shown to converge sequentially to a standard normal distribution. Second, for a fixed T sample the semi-asymptotic distribution of the average statistic is characterized and a standardized statistic based on general approximations of the moments of individual Wald statistics is proposed. Monte Carlo experiments show that both statistics provide good small sample properties.
Using remotely delivered Spring Forest Qigong to reduce neuropathic pain in adults with spinal cord injury: A non-randomized controlled trial

Importance: The manuscript proposes the feasibility and potential of a remote Qigong intervention to reduce neuropathic pain in adults with spinal cord injury (SCI)-related neuropathic pain. Objective: We determined the feasibility and estimates of efficacy of a remotely delivered Qigong intervention in adults with SCI-related neuropathic pain. Design: This is a non-randomized controlled trial with outcomes assessed at baseline-, 6- and 12-weeks of Qigong practice, and at 6-weeks and 1-year follow-up. Setting: Completely remote clinical trial. Participants: Adults with SCI-related neuropathic pain, with SCI of at least 3 months, with complete or incomplete SCI, and highest neuropathic pain level of >3 on the Numeric Pain Rating Scale (NPRS). We used nationwide volunteer sampling. We recruited 23 adults with chronic SCI (7/2021-2/2022). Eighteen participants started the study and completed all study components, including the 6-week follow-up. Twelve participants completed the 1-year follow-up assessment. Intervention: Participants practiced the Spring Forest Qigong Five Element Healing Movements with an online video by combining movement with kinesthetic imagery, at least 3x/week for 12 weeks. Main Outcome(s) and Measure(s): To address the feasibility outcome and track adherence, the website automatically monitored the days and duration that the Qigong video was played. Self-report neuropathic pain intensity and SCI-related symptoms such as spasms, functional performance, mood, and body appreciation were also collected. Results: Eighteen participants, 60+/-12 years of age, 15+/-11 years post-SCI had a highest baseline neuropathic pain of 7.94+/-2.33 on the NPRS, which was reduced to 4.17+/-3.07 after 12 weeks of Qigong practice (Cohen d=1.75). This pain relief remained at 6-week and 1-year follow-ups. Participants reported reduced spasm frequency (change score 1.17+/-1.20, d=0.98) and severity (0.72+/-1.02, d=0.71), and reduced interference of neuropathic pain on mood (3.44+/-2.53, d=1.36), sleep (3.39+/-2.40, d=1.41), and daily activities (3.17+/-2.77, d=1.14). They had a greater ability to perform functional activities (Patient Specific Functional Scale, 6.68+/-3.07, d=2.18) and had improved mood (Patient Health Questionnaire-9, 2.33+/-3.31, d=0.70). Conclusions and Relevance: Our preliminary data demonstrate the feasibility of Qigong practice in adults with SCI-related neuropathic pain and promising results of neuropathic pain relief and improvement in SCI-related symptoms after Qigong practice.
Analysis of Integrated Management of Acute Malnutrition (IMAM) dataset 2013 to 2018: A secondary dataset analysis

Abstract Background: Malnutrition remains the most common cause of morbidity and mortality in children under the age of 5 years. In Zimbabwe nearly 1 in every 3 children is malnourished. Child nutrition in the country is affected by inadequate knowledge among mothers and caregivers on appropriate diets especially in the first 1000 days of life. Weak coordination and inadequate resources for high impact nutrition interventions also affect nutrition in children. Methods: A descriptive cross sectional study was conducted on records from January 2013 to December 2018. All malnourished patients admitted into Community based management of acute malnutrition (CMAM) at health facilities in, with a diagnosis of Severe Acute Malnutrition (SAM) from January 2013 December 2018 as reported in the DHIS2 were included in the study. We retrieved the dataset from the DHIS2 to the excel sheet and analysed the data to come up with graphs demonstrating trends in management of acute malnutrition. Results: The 6-59 months age-group constitute the group with the highest cases of admission into the CMAM program. The 0-5 months age-group showed the least number of cases admitted and had the lowest HIV positivity over the period under review. The highest treatment outcome for HIV positive patients was death rate. Highest number of cases of malnutrition were admitted in 2016.The District failed to meet sphere standard default and cure rate throughout the period under review. Conclusion: The treatment outcomes of this study showed that HIV negative had better treatment outcomes than HIV positive. The age group 6 to 59 months had the highest number of cases admitted into CMAM program.The implementation of an effective public health approach for addressing malnutrition require a holistic approach that incorporates preventive measures such as poverty reduction, hygiene promotion, clean water, prevention of prenatal macronutrient and micronutrient deficiencies, and the promotion of age appropriate foods and feeding practices for infants and young children. Keywords : Community based management of acute malnutrition, severe acute malnutrition, treatment outcome
Psychometric Properties of the NIH Toolbox Cognition and Emotion Batteries Among Children and Adolescents with Congenital Heart Defects

Objective: The NIH Toolbox offers brief, computerized measures of cognitive and psychosocial functioning. However, its psychometric properties were established among typically developing children and adolescents. The current study provides the first comprehensive assessment of its psychometric properties among young patients with congenital heart defects (CHD). Study Design: We prospectively recruited 58 patients with CHD and 80 healthy controls between the ages of 6 and 17. Participants completed the NIH Toolbox Cognition and Emotion Batteries, a battery of clinician-administered neuropsychological tests, and ratings of their quality of life. Their parents also completed ratings of their functioning. Results: On the Cognition Battery, we found expectable group differences and developmentally expected gains across ages. For the most part, composites and subtests were significantly correlated with neuropsychological measures of similar constructs. Higher scores were generally associated with ratings of better day-to-day functioning among children with CHD. On the Emotion Battery, we found no significant group differences, echoing prior research. For the most part, scales showed acceptable internal consistency among both groups. There was adequate construct coherence for most of questionnaires among healthy control but not participants with CHD. Correlations with a comparison tool were largely within expectable directions. Conclusion: The NIH Toolbox may provide a valid and useful assessment of cognitive functioning among children and adolescents with CHD. While it may offer reliable and valid scales of psychosocial functioning, further research is needed to understand the meaningfulness of the scales for participants with CHD.
Acute care disruptions due to information technology failures in the Netherlands from 2000 to 2020

Background: Healthcare organizations are becoming increasingly dependent on Information technology (IT) for the provision of routine services. IT failures within hospital systems can impact acute patient care, including emergency department (ED) closure and the cancellation of operations. This study aims to gain insight into the impact of hospital IT failures in the Netherlands on acute care delivery and to provide recommendations for future preparedness. Methods: This is a systematic scoping review of major acute care disruptions in Dutch hospitals between 2000 and 2020. Incidence of etiology, duration, ED diversion, and closure of multiple locations was evaluated. IT failures were included when associated with the closure of hospital departments and/or evacuations. Results: Thirty-nine IT failures resulting in acute care disruption were identified. The majority occurred between 2010 and 2020 (n=37, 95%). Of the 39 events, 33 (85%) were primary IT failures and were mainly caused by computer network and/or hospital software failure. Secondary events predominantly resulted from power failure. Most events (n= 36, 92%) were resolved within minutes to hours. All events were associated with an ED closure, 27 (69%) with an operating room (OR) stop and two (5%) with external hospital evacuation of one or more patients. Furthermore, 17 incidents (44%) involved multiple hospital locations, and seven (41%) of these involved closure of multiple locations with an ED. Conclusion: The impact of IT failures on acute care disruptions in the Netherlands has considerably increased since 2010. This stresses the urge to improve IT security and business continuity in todays hospitals.
Rotational period of GQ Lupi

Aims. We wanted to determine the rotation parameters of GQ Lup A, thereby constraining the evolutionary history of the GQ Lup system. Methods. We have undertaken a photometric monitoring campaign on GQ Lup A consisting of two epochs spaced one year apart. We also searched the photometric archives to enlarge the data set. Results. We were able to determine the photometric period ($8.45\pm0.2$ days) in both epochs in several photometric bands. This periodicity could also be found in some of the archival data. The combined false-alarm probability is 0.015. The variation is most likely caused by hot spots on the surface of GQ Lup A. This, combined with high-resolution spectra ($v \sin i$) allows calculation of GQ Lup A's inclination ($i=27\pm5\degr$). Radial velocity data also contains this period but is inconclusive. Nevertheless, the RV data supports the interpretation that hot spots cause the photometric variation. We use the known K -band variability, amplitude, and phase of GQ Lup A together with a new image of GQ Lup A+b, taken quasi-simultaneously with our monitoring of the star, to confirm the magnitude and, hence, luminosity of the companion.
Combined use of magnetic microbeads for endothelial cell isolation and enhanced cell engraftment in myocardial repair

Background: The regenerative potential of the heart after injury is limited. Therefore, cell replacement strategies have been developed. However, the engraftment of transplanted cells in the myocardium is very inefficient. In addition, the use of heterogeneous cell populations precludes the reproducibility of the outcome. Methods: To address both issues, in this proof of principle study, we applied magnetic microbeads for combined isolation of eGFP+ embryonic cardiac endothelial cells (CECs) by antigen-specific magnet-associated cell sorting (MACS) and improved engraftment of these cells in myocardial infarction by magnetic fields. Results: MACS provided CECs of high purity decorated with magnetic microbeads. In vitro experiments revealed that the angiogenic potential of microbead-labeled CECs was preserved and the magnetic moment of the cells was strong enough for site-specific positioning by a magnetic field. After myocardial infarction in mice, intramyocardial CEC injection in the presence of a magnet resulted in a strong improvement of cell engraftment and eGFP+ vascular network formation in the hearts. Hemodynamic and morphometric analysis demonstrated augmented heart function and reduced infarct size only when a magnetic field was applied. Conclusion: Thus, the combined use of magnetic microbeads for cell isolation and enhanced cell engraftment in the presence of a magnetic field is a powerful approach to improve cell transplantation strategies in the heart.
Plant–moth community relationships at the degraded urban peat‐bog in Central Europe

Abstract Peatlands have their own, specific insect fauna. They are a habitat not only for ubiquistic but also stenotopic moths that feed on plants limited to wet, acid and oligotrophic habitats. In the past, raised bogs and fens were widely distributed in Europe. This has changed since 20th c. Due to irrigation, modern forestry, and increasing human settlement, peatlands have become isolated islands in an agricultural and urban landscape. Here, we analyze the flora in a degraded bog situated in a large Lodz city agglomeration in Poland in relation to the diversity and composition of moth fauna. Over the last 40 years since the bog has become protected as a nature reserve, birch, willow, and alder shrubs replaced the typical raised bog plant communities due to the decreased water level. The analysis of moth communities sampled in 2012 and 2013 indicates dominance of ubiquistic taxa associated with deciduous wetland forests and rushes. Tyrphobiotic and tyrphophile moth taxa were not recorded. We conclude that the absence of moths typical of bog habitats and the dominance of common, woodland species are associated with hydrological changes, the expansion of trees and brushes over typical bog plant communities, and light pollution.
Magnetic turbulence in space plasmas: Scale‐dependent effects of anisotropy

[1] The presence of a background magnetic field induces anisotropy in magnetic turbulence. Understanding properties of anisotropy is important to characterize turbulence power spectrum. This paper presents a case study of anisotropy by using a minimum variance analysis, in three different regions of the heliosphere, namely in the solar wind, and in the Earth's foreshock and magnetosheath behind a quasiparallel bow shock. A strong anisotropy is found in all cases, with very interesting cross-scale effects at the ion cyclotron frequency. In particular, (1) the eigenvalues of the variance matrix have a strong intermittent behavior, with very high localized fluctuations below the ion cyclotron scale. As a consequence the probability distribution functions are almost Gaussian5 above the ion cyclotron scale and become power laws at smaller scales; (2) the minimum variance direction is almost parallel to the background magnetic field at scales larger than the ion cyclotron scale in the solar wind and in the foreshock, while their probability density functions become broader at smaller scales. In the magnetosheath the minimum variance direction exhibits a tendency to become nearly perpendicular to the large-scale magnetic field below the ion cyclotron scale.
Towards Neural Decoding of Imagined Speech based on Spoken Speech

Decoding imagined speech from human brain signals is a challenging and important issue that may enable human communication via brain signals. While imagined speech can be the paradigm for silent communication via brain signals, it is always hard to collect enough stable data to train the decoding model. Meanwhile, spoken speech data is relatively easy and to obtain, implying the significance of utilizing spoken speech brain signals to decode imagined speech. In this paper, we performed a preliminary analysis to find out whether if it would be possible to utilize spoken speech electroencephalography data to decode imagined speech, by simply applying the pre-trained model trained with spoken speech brain signals to decode imagined speech. While the classification performance of imagined speech data solely used to train and validation was 30. 5±4.9 %, the transferred performance of spoken speech based classifier to imagined speech data displayed average accuracy of 26.8±2.0 % which did not have statistically significant difference compared to the imagined speech based classifier (p=0.0983, chi-square =4.64). For more comprehensive analysis, we compared the result with the visual imagery dataset, which would naturally be less related to spoken speech compared to the imagined speech. As a result, visual imagery have shown solely trained performance of 31.8±4.1 % and transferred performance of 26.3±2.4 % which had shown statistically significant difference between each other (p=0.022, chi-square =7.64). Our results imply the potential of applying spoken speech to decode imagined speech, as well as their underlying common features.
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

Cross-view multi-object tracking aims to link objects between frames and camera views with substantial overlaps. Although cross-view multi-object tracking has received increased attention in recent years, existing datasets still have several issues, including 1) missing real-world scenarios, 2) lacking diverse scenes, 3) owning a limited number of tracks, 4) comprising only static cameras, and 5) lacking standard benchmarks, which hinder the investigation and comparison of cross-view tracking methods. To solve the aforementioned issues, we introduce DIVOTrack: a new cross-view multi-object tracking dataset for DIVerse Open scenes with dense tracking pedestrians in realistic and non-experimental environments. Our DIVOTrack has fifteen distinct scenarios and 953 cross-view tracks, surpassing all cross-view multi-object tracking datasets currently available. Furthermore, we provide a novel baseline cross-view tracking method with a unified joint detection and cross-view tracking framework named CrossMOT, which learns object detection, single-view association, and cross-view matching with an all-in-one embedding model. Finally, we present a summary of current methodologies and a set of standard benchmarks with our DIVOTrack to provide a fair comparison and conduct a comprehensive analysis of current approaches and our proposed CrossMOT. The dataset and code are available at https://github.com/shengyuhao/DIVOTrack.
An adjoint-based method for optimizing MHD equilibria against the infinite-n, ideal ballooning mode

We demonstrate a fast adjoint-based method to optimize tokamak and stellarator equilibria against a pressure-driven instability known as the infinite-$n$ ideal ballooning mode. We present three finite-$\beta$ (the ratio of thermal to magnetic pressure) equilibria: one tokamak equilibrium and two stellarator equilibria that are unstable against the ballooning mode. Using the self-adjoint property of ideal MHD, we construct a technique to rapidly calculate the change in the growth rate, a measure of ideal ballooning instability. Using the~\texttt{SIMSOPT} framework, we then implement our fast adjoint gradient-based optimizer to minimize the growth rate and find stable equilibria for each of the three initially unstable equilibria.