Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity of High Conservation Value Birds to Para-Aminopropiophenone (PAPP) Determined by Sub-Lethal Dose–Response Assay

Simple Summary Para-aminopropiophenone (PAPP) is a bait poison used for the control of several introduced predators in Australia and New Zealand. In highly susceptible species (e.g., feral cats, red foxes and stoats), small doses of PAPP reduce the ability of haemoglobin to carry oxygen, resulting in rapid unconsciousness and death. Determining the degree to which different wildlife species may be susceptible to PAPP normally requires the use of lethal trials. Instead, we developed a non-lethal method to estimate the doses of PAPP that would be fatal to high conservation value birds such as takahē, weka and kiwi. Using a series of small but sequentially increasing PAPP doses, we monitored progressive changes in a number of blood markers, enabling us to predict the dose required to achieve a lethal threshold. This approach also allowed us to define the largest PAPP dose that produced no observed shift in the blood values, as well as the lowest dose associated with adverse effects. Because our blood sampling methods were refined to be minimally invasive, we monitored the progress of birds for at least 72 h and were able to define PAPP doses associated with protracted adverse effects. Abstract Para-aminopropiophenone (PAPP) is a methaemoglobin (MetHb) forming compound used for the lethal control of invasive carnivores and mustelids. By measuring the dose-dependent inhibition of O2 transport arising from the oxidation of haemoglobin (HbFe2+) to MetHb (HbFe3+), we determined the sensitivity of nine bird species to PAPP. A methaemoglobinaemia absorbance index (MAI) was validated in five common bird species to determine thresholds associated with a 99% probability of survival (ST99) and a 50% probability of mortality (LT50). Dose–response trials in high conservation value birds sought MAI values below the ST99 threshold, projecting the LT50 value and avoiding the need for lethal outcomes. Black-backed gull (LT50 = 1784.7) and eastern rosella (LT50 = 1074 mg kg−1) were the most tolerant species, while brown kiwi (LT50 = 8.4 mg kg−1) and weka (LT50 = 9.3 mg kg−1) were the most sensitive. Takahē were of intermediate acute sensitivity (LT50 = 51 mg kg−1), although protracted impacts on haemoglobin were observed in takahē up to 72 h later and associated with PAPP doses as low as 25.6 mg kg−1. In pukeko (LT50 = 138.4 mg kg−1), protracted declines in haemoglobin 72 h later occurred at doses as low as 29.5 mg kg−1, while at higher doses (253 and 112 mg kg−1), deaths resulted after 4–6 days. Based upon PAPP doses that caused acute and protracted responses, we provide estimates for the lowest observable adverse effect level (LOAEL) and no observable effects level (NOEL) for nine bird species.
Thermal Analysis of a Water-Filled Micro Heat Pipe With Phase-Change Interfacial Resistance

The progressive evaporation and condensation processes in a micro heat pipe, with which high heat fluxes at the liquid–vapor interface are associated, render it a device of high thermal conductance. By coupling the phase-change interfacial resistance model with a mathematical model based on first principles for fluid flow and heat transfer, the axial temperature variations of the liquid and vapor phases as well as those of other field variables are characterized and analyzed. The findings provide a well-defined exposition of the validity of uniform-temperature assumption for the liquid and vapor phases in the analysis of micro heat pipes. In conjunction with the acquisition of liquid and vapor temperature profiles, the heat transfer characteristics of the evaporation process can be analyzed. The local evaporative heat transfer coefficient and heat flux are evaluated. The results indicate that both heat transfer coefficient and heat flux are of considerably high values, confirming that the heat transport capability of a micro heat pipe is dominated by the phase-change heat transfer at the liquid–vapor interface. [DOI: 10.1115/1.4006898]
Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer

Simple Summary Advanced image analysis, specifically radiomics, has been recognized as a potential source of biomarkers for cancers. However, there are challenges to its application in the clinic, such as proper description of diseases where multiple lesions coexist. In this study, we aimed to characterize the intra-tumor heterogeneity of metastatic prostate cancer using an innovative approach. This approach consisted of a transformation method to build a radiomic profile of lesions extracted from [18F]FMCH PET/CT images, a qualitative assessment of intra-tumor heterogeneity of patients, and a quantitative representation of the intra-tumor heterogeneity of patients in terms of the relationship between their lesions’ profiles. We found that metastatic prostate cancer patients had lesions with different radiomic profiles that exhibited intra-tumor radiomic heterogeneity and that the presence of many radiomic profiles within the same patient impacted the outcome. Abstract Advanced image analysis, including radiomics, has recently acquired recognition as a source of biomarkers, although there are some technical and methodological challenges to face for its application in the clinic. Among others, proper phenotyping of metastatic or systemic disease where multiple lesions coexist is an issue, since each lesion contributes to characterization of the disease. Therefore, the radiomic profile of each lesion should be modeled into a more complex architecture able to reproduce each “unit” (lesion) as a part of the “entire” (patient). This work aimed to characterize intra-tumor heterogeneity underpinning metastatic prostate cancer using an exhaustive innovative approach which consist of a i) feature transformation method to build an agnostic (i.e., irrespective of pre-existence knowledge, experience, and expertise) radiomic profile of lesions extracted from [18F]FMCH PET/CT, ii) qualitative assessment of intra-tumor heterogeneity of patients, iii) quantitative representation of the intra-tumor heterogeneity of patients in terms of the relationship between their lesions’ profiles, to be associated with prognostic factors. We confirmed that metastatic prostate cancer patients encompassed lesions with different radiomic profiles that exhibited intra-tumor radiomic heterogeneity and that the presence of many radiomic profiles within the same patient impacted the outcome.
Impulsive H-alpha diagnostics of electron-beam-heated solar flare model chromospheres

Time-dependent H-alpha profiles were computed for the dynamic model atmospheres of Fisher, Canfield, and McClymont (1985) simulating the effects of an intense impulsively initiated power-law beam of electrons incident on the chromosphere. The temporal response of H-alpha arises from three separate physical mechanisms, whose relative importance varies over the line profile. The fastest variations (typically less than 0.1 s for the explosive heating discussed here) arise from energy imbalance; these are apparent on chromospheric heating and cooling time scales and have their greatest amplitude at line center. Slower variations arise from ionization imbalance and are most apparent in the blue wing. The slowest variations arise from hydrodynamic effects and are related to the formation of a chromospheric condensation; these are most apparent in the red wing. These results provide a basis for the design and analysis of observations of H-alpha, in coordination with hard X-rays or microwaves, to test mechanisms of energy transport in solar flares. 18 references.
Atmospheric Circulation Characteristics Favoring Dust Outbreaks over the Solar Village, Central Saudi Arabia*

AbstractThis study examines the atmospheric circulation characteristics of dust outbreaks (DOs) over the central Arabian Peninsula. Based on a 12-yr (1999–2011) Aerosol Robotic Network (AERONET) database over the Solar Village in Saudi Arabia and criteria pertinent to the aerosol optical depth at 500 nm and the Angstrom exponent, 177 DOs have been identified. Factor and cluster analysis are further applied on the 1000- and 700-hPa geopotential height daily patterns of the days preceding the onset of the DOs and the days of the DOs’ initiation, revealing four main types (clusters) of the atmospheric circulation evolution leading to DOs. During the winter season, the anticyclonic circulation intensifies over the Middle East causing the strengthening of the pressure gradient over the Arabian Peninsula, inducing northerly winds over the study region, thereby favoring dust entrainment in the atmosphere (cluster 1, 16 DOs, 9%). The passage of midlatitude cyclones over the northern or central Arabian Peninsula i.
Dissipativity and stability of nonlinear jump systems

We extend the concept of dissipativeness developed for deterministic systems, to stochastic systems with Markov jump disturbances. We give necessary and sufficient conditions for the system to be dissipative in terms of a set of cross-coupled Hamilton-Jacobi inequalities. Finally, we discuss the relationship between the dissipativeness of the system and its stochastic stability.
Future Local Ground‐Level Ozone in the European Area From Statistical Downscaling Projections Considering Climate and Emission Changes

Ground‐level ozone is a major air pollutant harmful to human health. In the scope of climate change, it is essential to provide high‐quality local‐scale assessments of the anticipated changes for public health and policy interventions. Assessments and projections of ground‐level ozone usually rely on numerical modeling, but statistical approaches are also available. The present study enhances the validity of statistical downscaling by taking climate change as well as air pollution changes into account. Besides considering meteorological predictors such as air temperature, short‐wave radiation, humidity, and wind, ozone trends from changes in precursor emissions were included in the statistical models. Meteorological and ozone predictor information extracted from reanalysis data for the observational period and output of seven Earth System Models (ESMs) for the projection periods were used, with three of them having interactive chemical modeling, while the other four used prescribed ozone changes. Ground‐level ozone, more precisely daily maximum 8‐hr running means (MDA8) as well as daily maximum 1‐hr values (MDA1), at 798 measurement stations across the European area in the “ozone season” from April to September were assessed. Results depended strongly on whether only meteorological information or additional information about emission changes were considered. As a general picture under the consideration of climate and emission changes, decreasing ground‐level ozone concentrations were projected under the moderate SSP2‐4.5 scenario, while for the more pessimistic scenario SSP3‐7.0 increasing ozone concentrations over Europe, especially at the end of the 21st century, were assessed.
Cross-Domain Echocardiography Segmentation with Multi-Space Joint Adaptation

The segmentation of the left ventricle endocardium (LVendo) and the left ventricle epicardium (LVepi) in echocardiography plays an important role in clinical diagnosis. Recently, deep neural networks have been the most commonly used approach for echocardiography segmentation. However, the performance of a well-trained segmentation network may degrade in unseen domain datasets due to the distribution shift of the data. Adaptation algorithms can improve the generalization of deep neural networks to different domains. In this paper, we present a multi-space adaptation-segmentation-joint framework, named MACS, for cross-domain echocardiography segmentation. It adopts a generative adversarial architecture; the generator fulfills the segmentation task and the multi-space discriminators align the two domains on both the feature space and output space. We evaluated the MACS method on two echocardiography datasets from different medical centers and vendors, the publicly available CAMUS dataset and our self-acquired dataset. The experimental results indicated that the MACS could handle unseen domain datasets well, without requirements for manual annotations, and improve the generalization performance by 2.2% in the Dice metric.
Hematopoietic Stem Cell Transplantation for the Treatment of Autoimmune Neurological Diseases: An Update

Over the last two decades, haematopoietic stem cell transplantation (HSCT) has been explored as a potential therapeutic strategy for autoimmune diseases refractory to conventional treatments, including neurological disorders. Although both autologous (AHSCT) and allogeneic HSCT (allo-HSCT) were investigated, AHSCT was preferentially developed due to a more favourable safety profile compared to allo-HSCT. Multiple sclerosis (MS) represents the most frequent neurological indication for AHSCT, but increasing evidence on the potential effectiveness of transplant in other autoimmune neurological diseases is emerging, although with a risk-benefit ratio overall more uncertain than in MS. In the present work, the rationale for the use of HSCT in neurological diseases and the experimental models that prompted its clinical application will be briefly covered. Case series and prospective studies exploring the use of HSCT in autoimmune diseases other than MS will be discussed, covering both frequent and rare neurological disorders such as myasthenia gravis, myopathies, and stiff-person syndrome. Finally, an updated summary of ongoing and future studies focusing on this issue will be provided.
Effective Construction of a Reflection Angle Prediction Model for Reflectarrays Using the Hadamard Product Self-Attention Mechanism

In this paper, we propose an efficient method for constructing a model which predicts the angle of a beam reflected by a reflectarray. The method includes an effective calculation method for preprocessing phase data and a design of a suitable deep learning model. We use the vibration displacement data instead of phase data with feature scaling. We claim that the numerical value of vibration displacement data is more meaningful than original numerical values of phase data. Referring to the transformer model originally proposed in natural language processing, we propose a simple network mechanism, the Hadamard product self-attention mechanism, for regression analysis of reflectarray antenna. We compare the results of experiments on the proposed method to the models with fully-connect neural network and Convolutional Neural Network, respectively. The experiment results show that methods and mechanism proposed by this research have a significant improvement in the accuracy of predicting the reflection angle, and the model convergence speed is also faster. The model can be applied to design a reflectarray to meet the requirements of a given pair of incoming and outgoing beam angles.
Development and Validation of a Prediction Model for Anxiety Improvement after Deep Brain Stimulation for Parkinson Disease

Background: Parkinson’s disease (PD) represents one of the most frequently seen neurodegenerative disorders, while anxiety accounts for its non-motor symptom (NMS), and it has greatly affected the life quality of PD cases. Bilateral subthalamic nucleus deep brain stimulation (STN-DBS) can effectively treat PD. This study aimed to develop a clinical prediction model for the anxiety improvement rate achieved in PD patients receiving STN-DBS. Methods: The present work retrospectively enrolled 103 PD cases undergoing STN-DBS. Patients were followed up for 1 year after surgery to analyze the improvement in HAMA scores. Univariate and multivariate logistic regression were conducted to select factors affecting the Hamilton Anxiety Scale (HAMA) improvement. A nomogram was established to predict the likelihood of achieving anxiety improvement. Receiver operating characteristic (ROC) curve analysis, decision curve analysis (DCA), and calibration curve analysis were conducted to verify nomogram performance. Results: The mean improvement in HAMA score was 23.9% in 103 patients; among them, 68.9% had improved anxiety, 25.2% had worsened (Preop) anxiety, and 5.8% had no significant change in anxiety. Education years, UPDRS-III preoperative score, and HAMA preoperative score were independent risk factors for anxiety improvement. The nomogram-predicted values were consistent with real probabilities. Conclusions: Collectively, a nomogram is built in the present work for predicting anxiety improvement probability in PD patients 1 year after STN-DBS. The model is valuable for determining expected anxiety improvement in PD patients undergoing STN-DBS.
Revisiting the Rotational Field TMS Method for Neurostimulation

Transcranial magnetic stimulation (TMS) is a non-invasive technique that has shown high efficacy in the treatment of major depressive disorder (MDD) and is increasingly utilized for various neuropsychiatric disorders. However, conventional TMS is limited to activating only a small fraction of neurons that have components parallel to the induced electric field. This likely contributes to the significant variability observed in clinical outcomes. A novel method termed rotational field TMS (rfTMS or TMS 360°) enables the activation of a greater number of neurons by reducing the sensitivity to orientation. Recruitment of a larger number of neurons offers the potential to enhance efficacy and reduce variability in the treatment of clinical indications for which neuronal recruitment and organization may play a significant role, such as MDD and stroke. The potential of the method remains to be validated in clinical trials. Here, we revisit and describe in detail the rfTMS method, its principles, mode of operation, effects on the brain, and potential benefits for clinical TMS.
Photoluminescence dependence of ZnO films grown on Si(100) by radio-frequency magnetron sputtering on the growth ambient

We report the effects of the growth ambient on photoluminescence (PL) emission properties of ZnO films grown on Si (100) by rf magnetron sputtering. Upon increasing the O2/Ar+O2 ratio in the growing ambient, the visible emission in the room-temperature PL spectra was drastically suppressed without sacrificing the band-edge emission intensity in the ultraviolet region. This tendency is estimated to be due to the reduction of the oxygen vacancies and zinc interstitials in the film induced by the improvement of the film stoichiometry with respect to high oxygen content, indicating that the visible emission in ZnO originates from oxygen vacancy or zinc interstitial related defects. The violet emission peaked at about 401 nm (3.09 eV) was observed in the low-temperature PL spectra of the ZnO films grown under oxygen-rich conditions. This emission band was assigned to the electron transition from the bottom of the conduction band to the Zn vacancy level, positioned approximately 3.06 eV below the conduction ban.
Recent Advances in the Discovery of Nicotinic Acetylcholine Receptor Allosteric Modulators

Positive allosteric modulators (PAMs), negative allosteric modulators (NAMs), silent agonists, allosteric activating PAMs and neutral or silent allosteric modulators are compounds capable of modulating the nicotinic receptor by interacting at allosteric modulatory sites distinct from the orthosteric sites. This survey is focused on the compounds that have been shown or have been designed to interact with nicotinic receptors as allosteric modulators of different subtypes, mainly α7 and α4β2. Minimal chemical changes can cause a different pharmacological profile, which can then lead to the design of selective modulators. Experimental evidence supports the use of allosteric modulators as therapeutic tools for neurological and non-neurological conditions.
Psychosocial impact of SARS- CoV-2 outbreak on patients with pediatric-onset systemic lupus erythematosus and their caregivers

Aim: To assess distress, insomnia, and psychosocial impact of SARS-CoV-2 outbreak on children with SLE and their caregivers. Methods: Patients with pSLE undergoing treatment in the Department of Pediatrics, PGIMER, Chandigarh, and their caregivers were enrolled. Questionnaires were sent to eligible patients and their parents through email or WhatsApp and telephonic interviews were conducted. Self-designed SLE-COVID-19 stress questionnaire; Peritraumatic Distress Inventory; Insomnia Severity Index, Positive and Negative Affect Schedule were used. Ethical approval was sought from Institutes Ethics Committee (IEC/2020/000583). Results: Telephonic connection was possible with 80 families (160 participants). Telephonic contact was possible with 80 families (160 participants); off these 61 children with pSLE (78.2%) and 55 caregivers (70.5%) responded to the questionnaire. Among participants, 23% patients, and 21.8% caregivers were severely stressed about SARS-CoV-2 infection; 78.7% patients and 80% caregivers had heard about hydroxychloroquine (HCQ) being used for the treatment of COVID-19; 52.7% caregivers exhibited moderate concern about shortage of HCQ; and 52.5% patients, and 43.6% caregivers were worried about side effects of HCQ. We found that 20 (32.8%) patients and 18 (32.7%) caregivers experienced significant distress. Majority of participants reported sleep disturbances. High positive affect scores were seen in 40 (65.5%) patients and 43 (78.2%) caregivers, low positive affect scores were noted in 21 (34.5%) patients and 12 (21.8%) caregivers. Conclusion: Patients with pSLE and their caregivers are at risk of psychosocial problems during the COVID-19 pandemic. Psychological interventions can be very helpful.
Convergence and resilience in border regions

ABSTRACT Border regions have often been analyzed regarding cohesion and convergence. However, their development in times of crisis is a relatively new field of interest. This study combines convergence and resilience measurement and explores how both concepts relate. The empirical operationalization is a time series based on GDP trends since the financial crisis for all European border and non-border regions. Firstly, results show that border regions have a lower resistance than non-border regions, but they show a higher recoverability. This finding calls for policy reflections on how to improve short-term resistance in border regions. Secondly, the overall convergence trends are more positive in border regions than in non-border regions. This finding reflects a general catching-up process due to border liberalization and cohesion policy. Thirdly, the more convergent the national state, the more resilient its border regions tend to be. Finally, this study shows that border regions must be seen as territorial objects with high potential and often a strength, but short-term vulnerability is highly relevant.
Understanding NAFLD: From Case Identification to Interventions, Outcomes, and Future Perspectives

While non-alcoholic fatty liver disease (NAFLD) is a prevalent and frequent cause of liver-related morbidity and mortality, it is also strongly associated with cardiovascular disease-related morbidity and mortality, likely driven by its associations with insulin resistance and other manifestations of metabolic dysregulation. However, few satisfactory pharmacological treatments are available for NAFLD due in part to its complex pathophysiology, and challenges remain in stratifying individual patient’s risk for liver and cardiovascular disease related outcomes. In this review, we describe the development and progression of NAFLD, including its pathophysiology and outcomes. We also describe different tools for identifying patients with NAFLD who are most at risk of liver-related and cardiovascular-related complications, as well as current and emerging treatment options, and future directions for research.