Miracle-dz/UniFAR-FTUs huggingface dataset:
Deriving the bulk properties of solar wind electrons observed by Solar Orbiter. A preliminary study of electron plasma thermodynamics

We demonstrate the calculation of solar wind electron bulk parameters from recent observations by Solar Wind Analyser Electron Analyser System on board Solar Orbiter. We use our methods to derive the electron bulk parameters in a time interval of a few hours. We attempt a preliminary examination of the polytropic behavior of the electrons by analyzing the derived electron density and temperature. Moreover, we discuss the challenges in analyzing the observations due to the spacecraft charging and photo-electron contamination in the energy range<10 eV. Aims: We derive bulk parameters of thermal solar wind electrons by analyzing Solar Orbiter observations and we investigate if there is any typical polytropic model that applies to the electron density and temperature fluctuations. Methods: We use the appropriate transformations to convert the observations to velocity distribution functions in the instrument frame. We then derive the electron bulk parameters by a) calculating the statistical moments of the constructed velocity distribution functions and b) by fitting the constructed distributions with analytical expressions. We firstly test our methods by applying them to an artificial data-set, which we produce by using the forward modeling technique. Results: The forward model validates the analysis techniques which we use to derive the electron bulk parameters. The calculation of the statistical moments and the fitting method determines bulk parameters that are identical within uncertainty to the input parameters we use to simulate the plasma electrons in the first place. An application of our analysis technique to the data reveals a nearly isothermal electron"core". The results are affected by the spacecraft potential and the photo-electron contamination, which we need to characterize in detail in future analyses.
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation

Clustering objects from the LiDAR point cloud is an important research problem with many applications such as autonomous driving. To meet the real-time requirement, existing research proposed to apply the connected-component-labeling (CCL) technique on LiDAR spherical range image with a heuristic condition to check if two neighbor points are connected. However, LiDAR range image is different from a binary image which has a deterministic condition to tell if two pixels belong to the same component. The heuristic condition used on the LiDAR range image only works empirically, which suggests the LiDAR clustering algorithm should be robust to potential failures of the empirical heuristic condition. To overcome this challenge, this paper proposes a divide-and-merge LiDAR clustering algorithm. This algorithm firstly conducts clustering in each evenly divided local region, then merges the local clustered small components by voting on edge point pairs. Assuming there are $N$ LiDAR points of objects in total with $m$ divided local regions, the time complexity of the proposed algorithm is $O(N)+O(m^{2})$. A smaller $m$ means the voting will involve more neighbor points, but the time complexity will become larger. So the $m$ controls the trade-off between the time complexity and the clustering accuracy. A proper $m$ helps the proposed algorithm work in real-time as well as maintain good performance. We evaluate the divide-and-merge clustering algorithm on the SemanticKITTI panoptic segmentation benchmark by cascading it with a state-of-the-art semantic segmentation model. The final performance evaluated through the leaderboard achieves the best among all published methods. The proposed algorithm is implemented with C++ and wrapped as a python function. It can be easily used with the modern deep learning framework in python. We released the code under the following link 11https://github.com/placeforyiming/Divide-and-Merge-LiDAR-Panoptic-Cluster.
Vertical and horizontal distribution, source identification, ecological and toxic risk assessment of heavy metals in sediments of Lake Aygır, Kars, Turkey

ABSTRACT Surface and core sediment samples were collected from Lake Aygır, Turkey, to determine heavy metal distribution, probable sources and potential ecological and toxic risks for the lake. Heavy metals, total sulfur, total phosphate, total organic carbon, chlorophyll degradation products, and CaCO3 content were established. The enrichment factor, PLI, potential ecological risk index, and toxic risk index were calculated. Zn was determined to have the highest accumulation in surface sediment, followed by Cr, Pb, and Cd, respectively. Cd was the only element that exceeded the critical value of 40 and posed a moderate potential ecological risk. According to TRI, no ecotoxic risk was found. It is thought that local fossil fuel consumption is responsible for the accumulation of heavy metals since there is a lack of urbanization, industrialization, and agricultural activities around the lake.
A General Framework of Rotational Sparse Approximation in Uncertainty Quantification

This paper proposes a general framework to estimate coefficients of generalized polynomial chaos (gPC) used in uncertainty quantification via rotational sparse approximation. In particular, we aim to identify a rotation matrix such that the gPC expansion of a set of random variables after the rotation has a sparser representation. However, this rotational approach alters the underlying linear system to be solved, which makes finding the sparse coefficients more difficult than the case without rotation. To solve this problem, we examine several popular nonconvex regularizations in compressive sensing (CS) that perform better than the classic l1 approach empirically. All these regularizations can be minimized by the alternating direction method of multipliers (ADMM). Numerical examples show superior performance of the proposed combination of rotation and nonconvex sparse promoting regularizations over the ones without rotation and with rotation but using the convex l1 approach.
Music Demixing Challenge 2021

Music source separation has been intensively studied in the last decade and tremendous progress with the advent of deep learning could be observed. Evaluation campaigns such as MIREX or SiSEC connected state-of-the-art models and corresponding papers, which can help researchers integrate the best practices into their models. In recent years, the widely used MUSDB18 dataset played an important role in measuring the performance of music source separation. While the dataset made a considerable contribution to the advancement of the field, it is also subject to several biases resulting from a focus on Western pop music and a limited number of mixing engineers being involved. To address these issues, we designed the Music Demixing Challenge on a crowd-based machine learning competition platform where the task is to separate stereo songs into four instrument stems (Vocals, Drums, Bass, Other). The main differences compared with the past challenges are 1) the competition is designed to more easily allow machine learning practitioners from other disciplines to participate, 2) evaluation is done on a hidden test set created by music professionals dedicated exclusively to the challenge to assure the transparency of the challenge, i.e., the test set is not accessible from anyone except the challenge organizers, and 3) the dataset provides a wider range of music genres and involved a greater number of mixing engineers. In this paper, we provide the details of the datasets, baselines, evaluation metrics, evaluation results, and technical challenges for future competitions.
Magnetic field induced softening of spin waves and hard-axis order in the Kondo-lattice ferromagnet 
CeAgSb2

A significant number of Kondo-lattice ferromagnets order perpendicular to the easy magnetization axis dictated by the crystalline electric field. The nature of this phenomenon has attracted considerable attention, but remains poorly understood. In the present paper we use inelastic neutron scattering supported by magnetization and specific heat measurements to study the spin dynamics in the hard-axis ferromagnet CeAgSb2. In the zero field state we observed two sharp magnon modes, which are associated with Ce ordering and extended up to $\approx 3 meV with a considerable spin gap of 0.6 meV. Application of a magnetic field perpendicular to the moment direction reduces the spectral intensity and suppresses the gap and significantly enhances the low-temperature specific heat at a critical field of Bc ~ 2.8 T via a mean-field-like transition. Above the transition, in the field polarized state, the gap eventually reopens due to the Zeeman effect. We modeled the observed dispersion using linear spin-wave theory (LSWT) taking into account the ground state Gamma 6 doublet and exchange anisotropy. Our model correctly captures the essential features of the spin dynamics including magnetic dispersion, distribution of the spectral intensity as well as the field-induced behavior, although several minor features remain obscure. The observed spectra do not show significant broadening due to the finite lifetime of the quasiparticles. Along with a moderate electronic specific heat coefficient gamma = 46 mJ/mol K2 this indicates that the Kondo coupling is relatively weak and the Ce moments are well localized. Altogether, our results provide profound insight into the spin dynamics of the hard-axis ferromagnet CeAgSb2 and can be used as solid ground for studying magnetic interactions in isostructural compounds including CeAuSb2, which exhibits nematicity and unusual mesoscale magnetic textures.
Oxidative Stress Genes in Diabetes Mellitus Type 2: Association with Diabetic Kidney Disease

Diabetic type 2 patients compared to nondiabetic patients exhibit an increased risk of developing diabetic kidney disease (DKD), the leading cause of end-stage renal disease. Hyperglycemia, hypertension, oxidative stress (OS), and genetic background are some of the mechanisms and pathways implicated in DKD pathogenesis. However, data on OS pathway susceptibility genes show limited success and conflicting or inconclusive results. Our study is aimed at exploring OS pathway genes and variants which could be associated with DKD. We recruited 121 diabetes mellitus type 2 (DM2) patients with DKD (cases) and 220 DM2, non-DKD patients (control) of Greek origin and performed a case-control association study using genome-wide association data. PLINK and EIGENSOFT were used to analyze the data. Our results indicate 43 single nucleotide polymorphisms with their 21 corresponding genes on the OS pathway possibly contributing or protecting from DKD: SPP1, TPO, TTN, SGO2, NOS3, PDLIM1, CLU, CCS, GPX4, TXNRD2, EPHX2, MTL5, EPX, GPX3, ALOX12, IPCEF1, GSTA, OXR1, GPX6, AOX1, and PRNP. Therefore, a genetic OS background might underlie the complex pathogenesis of DKD in DM2 patients.
Association between Diabetes Mellitus and the Risk of Herpes Zoster: A Systematic Review and Meta-analysis.

CONTEXT Individuals with diabetes mellitus (DM) are susceptible to various infections. OBJECTIVE We estimated the risk of herpes zoster (HZ) among individuals with DM compared to individuals in the general population. DATA SOURCES We searched the PubMed, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trails, Cumulative Index to Nursing and Allied Health Literature and PerioPath databases from their inception to January 30, 2021 for studies on the risk of HZ in individuals with DM. STUDY SELECTION Two authors independently screened all articles identified. DATA EXTRACTION The same two authors independently extracted the data. Four case-control studies and 12 cohort studies were included. DATA SYNTHESIS Meta-analyses were performed using fixed and mixed-effects models. In the pooled analysis, individuals with DM had a higher risk of developing HZ (pooled relative risk: 1.38, 95% confidence interval: 1.21-1.57) than individuals in the general population. The results were consistent in subgroup analyses stratified by type of diabetes, age, and study design. In individuals with DM, cardiovascular disease had an additive effect on increasing the risk of HZ (pooled relative risk: 1.19, 95% confidence interval: 1.11-1.28). There was a linear dose-response association between age and the risk of HZ in individuals with DM. CONCLUSION Individuals with DM have an increased risk of HZ compared to the general population. Varicella vaccination should be provided to individuals with DM regardless of their age, prioritizing older adults and those with cardiovascular disease. Varicella vaccination policies for individuals with DM should be updated based on the evidence.
Experience in reconstruction of esophagus, epiglottis, and upper trachea due to caustic injuries in pediatric patients and establishment of algorithm

Unintentional swallowing of corrosive agents cause problems in the pediatric population. Swallowing dysfunction can be seen after injuring the pharynx and/or epiglottis which leads to the obstruction of esophagus. An algorithm was established taking into account the injury to the epiglottis and restoring gastrointestinal continuity with isolated or combine free and or supercharged jejunum flap, or supercharged colon transposition flap.
Continuous fluorescence-based monitoring of seawater pH in atemperate estuary

Abstract. Electrical conductivity (salinity), temperature and fluorescence-based measurements of pH were employed to examine diel fluctuations in seawater carbonate chemistry of surface waters in Sydney Harbour over two multiple-day periods. The fluorescence-based technique provided a useful time-series for pH. Alkalinity with pH and temperature were used to calculate the degree of aragonite and calcite saturation (Ω Ca and Ω Ar respectively). Alkalinity was determined from an alkalinity-salinity relationship. Variation in pH over minute- to hour-long periods was distinguishable from background variability. Diel variability in pH, Ω ara and Ω cal showed a clear pattern that appeared to correlate with both salinity and temperature. Drift due to photodegradation of the fluorophore was minimised by reducing exposure to ambient light. Ω Ca and Ω Ar fluctuated approximately on a daily cycle. The net result of changes in pH, salinity and temperature combined to influence seawater carbonate chemistry. The fluorescence-based pH monitoring technique is simple, provides good resolution and is unaffected by moving parts or leaching of solutions over time. The use of optics is pressure insensitive, making this approach to ocean acidification monitoring well suited to deepwater applications.
- 1-Investigating the Relationship between Perceived Leader ' s Dark Triad Traits and Job Performance ( An Empirical Study on Egyptian National newspapers ' Journalists )

The research aims to examine the relationship between perceived leader's dark triad traits and journalists' job performance (Task performance, contextual performance, and creative performance). Data were collected from 391 journalists at Egyptian national newspapers. The research employed a quantitative research method and regression analysis technique to test the research hypotheses through Warp PLS version 6. The research findings highlighted that perceived leader's dark triad traits had a significant effect on journalists' job performance (task performance, contextual performance, and creative performance). The R values of these effects are (0.05, 0.021, and 0.024; respectively).
Synthetic polymer materials for forward osmosis (FO) membranes and FO applications: a review

Abstract Forward osmosis (FO) has played an important role in alleviating the problems caused by freshwater shortage and water contamination in recent years. However, issues of low water permeability, reverse solute diffusion, concentration polarization and membrane fouling are still widely present in FO processes. These challenges are the current research focus in exploring novel FO membranes. Fabricating FO membranes from chemically modified commercial polymers is a relatively novel approach and has proven effective in obtaining appropriate FO membranes. This paper focuses on the progress of FO membranes made specially from chemically modified polymer materials. First of all, a brief overview of commercial polymers commonly used for FO membrane fabrication is provided. Secondly, the chemical modification strategies and synthesis routes of novel polymer materials as well as the resultant FO membrane performance are presented. The strengths and weaknesses of chemical modifications on polymer materials are assessed. Then, typical FO applications facilitated by the FO membranes made from modified polymer materials are exemplified. Finally, challenges and future directions in exploring novel polymers through chemical modifications for FO membrane fabrication are highlighted. This review may provide new insights into the future advancement of both novel membrane materials and FO membranes.
Land-use change and rodent-borne diseases: hazards on the shared socioeconomic pathways

Land-use change has a direct impact on species survival and reproduction, altering their spatio-temporal distributions. It acts as a selective force that favours the abundance and diversity of reservoir hosts and affects host–pathogen dynamics and prevalence. This has led to land-use change being a significant driver of infectious diseases emergence. Here, we predict the presence of rodent taxa and map the zoonotic hazard (potential sources of harm) from rodent-borne diseases in the short and long term (2025 and 2050). The study considers three different land-use scenarios based on the shared socioeconomic pathways narratives (SSPs): sustainable (SSP1-Representative Concentration Pathway (RCP) 2.6), fossil-fuelled development (SSP5-RCP 8.5) and deepening inequality (SSP4-RCP 6.0). We found that cropland expansion into forest and pasture may increase zoonotic hazards in areas with high rodent-species diversity. Nevertheless, a future sustainable scenario may not always reduce hazards. All scenarios presented high heterogeneity in zoonotic hazard, with high-income countries having the lowest hazard range. The SSPs narratives suggest that opening borders and reducing cropland expansion are critical to mitigate current and future zoonotic hazards globally, particularly in middle- and low-income economies. Our study advances previous efforts to anticipate the emergence of zoonotic diseases by integrating past, present and future information to guide surveillance and mitigation of zoonotic hazards at the regional and local scale. This article is part of the theme issue ‘Infectious disease macroecology: parasite diversity and dynamics across the globe’.
Nano-scale superelastic response of laser-welded NiTi shape-memory alloys

ABSTRACT In this work, Ni-Ti shape-memory alloy (SMA) plates were laser welded using different laser powers. A systematic trend of decreasing deterioration in nanomechanical properties – including superelastic recovery – from the weld centre, through the interface region and the heat-affected zone to the base–metal regimes has been observed. The extent of the deterioration increases with increasing laser power. The observations are explained in terms of a decreasing cooling rate and increasing austenite finish temperature (Af ) with an increase in laser power.
The VA Storybook Program: Humanizing Care With Nurse Stories

The Veterans Affairs (VA) Storybook Program was developed to enhance nurse-patient relationships and satisfaction with care. Personal stories about nurses were distributed to patients on a medical/surgical unit. Quantitative and qualitative evaluation data were collected from patients and nurses to capture patients’ descriptions of nurses and perceptions of program value. Results show patients describe nurses differently after reading the storybook. Patients were highly satisfied with the program, and interviews suggest the stories fostered connection and developed an atmosphere of trust. Story programs may be an effective, structured approach to enhancing nurse-patient relationships.
Services for people with intellectual disabilities and mental health problems in Singapore: perspectives from mainstream mental health professionals

Background: Generic mental health staff often have contact with people with intellectual disabilities when they access mainstream mental health services. To date, there has not been any research conducted in non-western countries to explore their views. This paper investigates the views and experiences of mainstream mental health professionals regarding the mental health services for people with intellectual disabilities in Singapore. Methods: Eight staff members from generic mental health services were interviewed. Thematic analysis was used to identify main themes. Findings: The main themes are related to their work experiences, perceptions of people with intellectual disabilities, ideal staff characteristics and service recommendations. Conclusions: Participants identified a lack of experience and knowledge when working with this population. They highlighted the challenges they face promoting choice and autonomy for people with intellectual disabilities. The discussion includes recommendations for improving staff knowledge through training opportunities, consideration of non-pharmacological approaches and early collaboration with caregivers during the treatment process.
Experiences of ward atmosphere in inpatients with intellectual disability and mental illness: clinical implications for mental health nursing

Background: Patients with intellectual disability in psychiatric services are rarely asked about their experiences when admitted to inpatient units. Aim: To enhance the understanding of ward atmosphere for inpatients with co-occurring intellectual disabilities (ID) and mental illness by exploring patients’ experiences from a specialised mental health inpatient unit. Methods: A selected sample of 10 adults with comorbid mental illness and ID were recruited for a qualitative interview study based on Gunderson’s conceptualisation of therapeutic components in mental health wards. The patients were interviewed by two experienced clinicians and interviews were analysed using directed content analysis. Results: Patients’ experience of their relationships with ward staff seemed central to their experiences of several aspects of mental health nursing. Feeling safe, contained, and validated, were further important aspects. However, the patients seemed to have little influence on treatment choices and did not report participating in shared decision-making. Conclusions: The patients’ answers in this study are in line with previous research on ward atmosphere for patients in the general population. However, more research is necessary to inform future mental health nursing for patients with ID, both in inpatient and ambulatory services.
Response to governmental COVID-19 restrictions: the role of informal institutions

Abstract This paper explains how informal institutions influence the reaction to the COVID-19 pandemic and the response to formal restrictions. I claim that it is not enough to introduce countermeasures, as individuals must follow them if they are to be effective. The acceptance of such measures is reflected in individuals' degrees of mobility decrease and contact reduction, the aims of governmental restrictions. I identify a group of attitudes connected with individuals' responses that differ across countries. They are associated with social relations and approaches to dealing with problems. The analysis confirms that formal restrictions can be seen as successful only if they are supported by strong informal institutions. In some cases, they even define individuals' reactions more than formal recommendations. The findings are useful not only for explaining the special case of reaction to pandemic restrictions but also for investigating what generally determines individuals' compliance with formal rules.