Miracle-dz/UniFAR-FTUs huggingface dataset:
Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology

(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and prognostic models regarding oncology, and provide a user-friendly interface for the included models to allow online calculation. The focus of the application is on providing physicians and health professionals with patient-specific information regarding treatment plans, survival rates, and side effects for different expected treatments. (2) Methods: The primarily used models were the ones developed by our research group in the past. This selection was completed by a number of models, addressing the same cancer types but focusing on other outcomes that were selected based on a literature search in PubMed and Medline databases. All selected models were publicly available and had been validated TRIPOD (Transparent Reporting of studies on prediction models for Individual Prognosis Or Diagnosis) type 3 or 2b. (3) Results: The open source repository currently incorporates 18 models from different research groups, evaluated on datasets from different countries. Model types included logistic regression, Cox regression, and recursive partition analysis (decision trees). (4) Conclusions: An application was developed to enable physicians to complement their clinical judgment with user-friendly patient-specific predictions using models that have received internal/external validation. Additionally, this platform enables researchers to display their work, enhancing the use and exposure of their models.
Exploring the value of sustainable fashion products among young Korean consumers

ABSTRACT This study examined how sustainable fashion bag products attracted Korean consumers in their 20s and 30s. To explore the attributes, motivations, and values related to the consumption of these products, this study used a means-end hierarchy theory approach that links these products and the personal values gathered from 11 in-depth interviews. The results showed four types of patterns within the means-end hierarchy value map: (1) financial, (2) self-concept, (3) social, and (4) environmental consciousness. Seven attributes, 14 consequences, and five values were identified from the attributes, consequences, and values models. This study contributes to the understanding of the features of emerging consumers’ consumption of sustainable fashion bag products and provides an idea of future strategies for successful sustainable bag brands.
FACTORS THAT CAUSE THE PROBLEM OF OBESITY AMONG ADULTS IN TAMAN SENTOSA, KLANG

The objective of this research is to determine factors that cause the problem of obesity among adults in Taman Sentosa, Klang, Selangor. To accomplish the research’s goals, the Ecological Model is applied in this study, with the independent variables (physical activity, eating habits and mental stress), and the dependent variable (Body Mass Index (BMI)) respectively. Convenience sampling was used in this study, which included screening participants based on their flexibility and willingness to complete the survey. The research only gathered 30 respondents due to time constraints. These data are derived from a Google Form questionnaire sent to residents of Taman Sentosa, Klang, Selangor, who had a body mass index (BMI) of 25 or above. The data was then transferred to the 27th version of the Statistical Package for Social Science (SPSS) for analysis. In summary, the researchers conduct four analyses: factor analysis, reliability analysis, descriptive analysis for demographic profile, and regression analysis. The reliability analysis revealed that the questionnaire was a reliable tool for measuring the study’s goals. On top of that, regression analysis was performed and the results revealed that all of the hypotheses in this research are accepted, where all the factors that represented the independent variables have caused the obesity problem among adults in Taman Sentosa, Klang, Selangor.
New Method for Imputation of Unquantifiable Values Using Bayesian Statistics for a Mixture of Censored or Truncated Distributions: Application to Trace Elements Measured in Blood of Olive Ridley Sea Turtles from Mexico

Simple Summary Analytical science in environmental research is frequently confronted with the problem of detection limits or missing data in the analyzed variables. This situation precludes the use of common methods of statistical analysis. We have developed a method to estimate the distribution of samples below or above the detection limit and were able to estimate the statistical distribution of the missing data. We test this method using a dataset of 25 trace elements measured in dead and alive marine turtles. We confirm previous finding that Cd and Na are significantly associated with dead or alive status, and we show that strontium concentration is also linked to this status. Abstract One recurring difficulty in ecotoxicological studies is that a substantial portion of concentrations are below the limits of detection established by analytical laboratories. This results in censored distributions in which concentrations of some samples are only known to be below a threshold. The currently available methods have several limitations because they cannot be used with complex situations (e.g., different lower and upper limits in the same dataset, mixture of distributions, truncation and censoring in a single dataset). We propose a versatile method to fit the most diverse situations using conditional likelihood and Bayesian statistics. We test the method with a fictive dataset to ensure its correct description of a known situation. Then we apply the method to a dataset comprising 25 element concentrations analyzed in the blood of nesting marine turtles. We confirm previous findings using this dataset, and we also detect an unexpected new relationship between mortality and strontium concentration.
The Reacceleration of the Shock Wave in the Radio Remnant of SN 1987A

We report on updated radio imaging observations of the radio remnant of SN 1987A at 9 GHz, taken with the Australia Telescope Compact Array (ATCA), covering a 25 yr period (1992–2017). We use Fourier modeling of the supernova remnant to model its morphology, using both a torus model and a ring model, and find that both models show an increasing flux density and have shown a continuing expansion of the remnant. As found in previous studies, we find that the torus model most accurately fits our data and has shown a change in the remnant expansion at day 9300 ± 210 from 2300 ± 200 km s−1 to 3610 ± 240 km s−1. We have also seen an increase in brightness in the western lobe of the remnant, although the eastern lobe is still the dominant source of emission, unlike what has been observed at contemporary optical and X-ray wavelengths. We expect to observe a reversal in this asymmetry by the year ∼2020, and we note that the southeastern side of the remnant is now beginning to fade, as has also been seen in optical and X-ray data. Our data indicate that high-latitude emission has been present in the remnant from the earliest stages of the shock wave interacting with the equatorial ring around day 5000. However, we find that the emission has become increasingly dominated by the low-lying regions by day 9300, overlapping with the regions of X-ray emission. We conclude that the shock wave is now leaving the equatorial ring, exiting first from the southeast region of the remnant, and is reaccelerating as it begins to interact with the circumstellar medium beyond the dense inner ring.
Classification and Causes Identification of Chinese Civil Aviation Incident Reports

Safety is a primary concern for the civil aviation industry. Airlines record high-frequency but potentially low-severity unsafe events, i.e., incidents, in their reports. Over the past few decades, civil aviation security practitioners have made efforts to analyze these issues. The information in incident reports is valuable for risk analysis. However, incident reports were inefficiently utilized due to incoherence, large volume, and poor structure. In this study, we proposed a technical scheme to intelligently classify and extract risk factors from Chinese civil aviation incident reports. Firstly, we adopted machine learning classifiers and vectorization strategies to classify incident reports into 11 categories. Grid search was used to adjust the parameters of the classifier. In the preliminary experiment, the combination of the extreme gradient boosting (XGBoost) classifier and the occurrence position (OC-POS) vectorization strategy outperformed with an 0.85 weighted F1-score. In addition, we designed a rule-based system to identify the factors related to the occurrence of incidents from 25 empirical causes, which included equipment, human, environment, and organizational causes. For cause identification, we used rules obtained through manual analysis with keywords and discourse. F1-score above 0.90 was obtained on the test set using the causes identification model derived from the training set. The proposed system permits insights into unsafe factors in aviation incidents and prevents reoccurrence. Future works can proceed on this study, such as exploring the causal relationship between causes and incidents.
Sound Localization Framework for Construction Site Monitoring

This study developed a construction sound localization framework (CSLF) using the time delay of the arrival technique and the generalized cross-correlation phase transform. Based on the spatial characteristics of construction sites, this study identified sound-source locations at construction sites to overcome the limitations of existing sensor-based localization methods. Verification tests were performed on the CSLF in both interior and exterior environments. The interior tests showed that the average error was less than 0.5 m for each axis; which is 0.26, 0.27, and 0.36 m for the x-, y-, and z-axes, respectively. The exterior tests conducted at an actual construction site showed average x-, y-, and z-axis errors of 0.19, 0.21, and 0.24 m, respectively. These results show that the CSLF can effectively identify sound locations at construction sites within an arm’s length. Furthermore, CSLF is applicable on the sound data categorization-related research. The system can categorize an accidental or abnormal sound and locate the sound source for safety management at the construction site. It can also be utilized to monitor construction productivity by categorizing and locating the machinery-related sound sources.
Carnegie Supernova Project-II: The Near-infrared Spectroscopy Program

Shifting the focus of Type Ia supernova (SN Ia) cosmology to the near infrared (NIR) is a promising way to significantly reduce the systematic errors, as the strategy minimizes our reliance on the empirical width-luminosity relation and uncertain dust laws. Observations in the NIR are also crucial for our understanding of the origins and evolution of these events, further improving their cosmological utility. Any future experiments in the rest-frame NIR will require knowledge of the SN Ia NIR spectroscopic diversity, which is currently based on a small sample of observed spectra. Along with the accompanying paper, Phillips et al., we introduce the Carnegie Supernova Project-II (CSP-II), to follow-up nearby SNe Ia in both the optical and the NIR. In particular, this paper focuses on the CSP-II NIR spectroscopy program, describing the survey strategy, instrumental setups, data reduction, sample characteristics, and future analyses on the data set. In collaboration with the Harvard-Smithsonian Center for Astrophysics (CfA) Supernova Group, we obtained 661 NIR spectra of 157 SNe Ia. Within this sample, 451 NIR spectra of 90 SNe Ia have corresponding CSP-II follow-up light curves. Such a sample will allow detailed studies of the NIR spectroscopic properties of SNe Ia, providing a different perspective on the properties of the unburned material; the radioactive and stable nickel produced; progenitor magnetic fields; and searches for possible signatures of companion stars.
About the impossibility of quantifying the knowledge and of establishing consequently its correlation with money

This article shows how the Universities and higher education and research institutions obey more and more to criteria of profitability and effectiveness, following the example of the industry. The Universities and the academic communities are the main producers of knowledge, which is not quantifiable and, therefore, cannot find an equivalent in money, which is quantifiable. Many scientists intend to establish a connection between knowledge and money, using for that a set of criteria of evaluation. Being useless these criteria, the scientists resort to a system of honour, but the science is essentially normal knowledge.
Gravitational Collapse and Black Hole Evolution — Do Holographic Black Holes Eventually “Anti-Evaporate”? —

We study the gravitational collapse of compact objects in the Brane-World. We begin by arguing that the regularity of the five-dimensional geodesics does not allow the energymomentum tensor of matter on the brane to have (step-like) discontinuities, which are instead admitted in the four-dimensional General Relativistic case, and compact sources must therefore have an atmosphere. Under the simplifying assumption that matter is a spherically symmetric cloud of dust without dissipation, we can find the conditions for which the collapsing star generically “evaporates” and approaches the Hawking behavior as the (apparent) horizon is being formed. Subsequently, the apparent horizon evolves into the atmosphere and the back-reaction on the brane metric reduces the evaporation, which continues until the effective energy of the star vanishes. This occurs at a finite radius, and the star afterwards re-expands and “anti-evaporates”. We clarify that the Israel junction conditions across the brane (holographically related to the matter trace anomaly) and the projection of the Weyl tensor on the brane (holographically interpreted as the quantum back-reaction on the brane metric) contribute to the total energy as, respectively, an “anti-evaporation” and an “evaporation” term. Concluding, we comment on the possible effects of dissipation and obtain a new stringent bound for the brane tension.
Quasistatic remanence in Dzyaloshinskii-Moriya interaction driven weak ferromagnets and piezomagnets

We explore remanence ($\mu$) as a function of time and temperature, in a variety of rhombohedral antiferromagnets (AFM) which are also weak ferromagnets (WFM) and piezomagnets (PzM). These measurements, across samples with length scales ranging from nano to bulk, firmly establish the presence of a remanence that is quasi static in nature and exhibits a counter-intuitive magnetic field dependence. These observations unravel an ultra-slow magnetization relaxation phenomenon related to this quasi static $\mu$. This feature is also observed in a defect free single crystal of $\alpha$-Fe$_2$O$_3$, which is a canonical WFM and PzM. Notably, $\alpha$-Fe$_2$O$_3$ is not a typical geometrically frustrated AFM and in single crystal form, it is also devoid of any size or interface effect, which are the usual suspects for a slow magnetization relaxation phenomenon. The underlying pinning mechanism appears exclusive to those AFM which are either symmetry allowed WFM, driven by Dzyaloshinskii-Moriya Interaction (DMI) or can generate this trait by tuning of size and interface. The qualitative features of the quasi static $\mu$ indicate that such WFM are potential piezomagnets, in which magnetization can be tuned by $stress$ alone.
The challenging task of determining star formation rates: the case of a massive stellar burst in the brightest cluster galaxy of Phoenix galaxy cluster

Star formation in galaxies at the center of cooling-flow galaxy clusters is an important phenomenon in the context of formation and evolution of massive galaxies in the Universe. Yet, star formation rates (SFRs) in such systems continue to be elusive. We use our Bayesian-motivated spectral energy distribution (SED)-fitting code, BAYESCOOL, to estimate the plausible SFR values in the brightest cluster galaxy of a massive, X-ray luminous galaxy cluster, Phoenix. Previous studies of Phoenix have resulted in the highest measurement of SFR for any galaxy, with the estimates reaching up to 1000 solar masses/yr. However, a very small number of models have been considered in those studies. BAYESCOOL allows us to probe a large parameter space. We consider two models for star formation history, instantaneous bursts and continuous star formation, a wide range of ages for the old and the young stellar population, along with other discrete parameters, such as the initial mass function, metallicities, internal extinction and extinction law. We find that in the absence of any prior except that the maximum cooling rate < 3000 solar masses/yr, the SFR lies in the range (2230-2890) solar masses/yr. If we impose an observational prior on the internal extinction, E(B-V) < 0.6, the best-fit SFR lies in (454-494) solar masses/yr, and we consider this as the most probable range of SFR values for Phoenix. The SFR dependence on the extinction is a reflection of the standard age-extinction degeneracy, which can be overcome by using a prior on one of the two quantities in question.
“You Are You, But You Are Also Your Profession”: Nebulous Boundaries of Personal Substance Use

This paper explores Canadian professionals’ engagement in licit, illicit, and pharmaceutical substance use, their perspectives on what constitutes professional misconduct and conduct unbecoming in relation to substance use, and the dilemmas they face around self-disclosure in the context of professional regulation and social expectations. The study involved semi-structured, dialogical interviews with n = 52 professionals. Key findings are: (i) professionals do indeed use and have a history of using licit, illicit, and pharmaceutical substances, (ii) there is lack of consensus about expectations for professional conduct of substance use in one’s private life and an apparent lack of knowledge about legislation, jurisdiction of regulatory bodies, workplace policy, and workplace rights, and (iii) professionals use high discretion about personal disclosure of substance use to mitigate risk to public reputation and professional standing. Given the real potential for negative consequences associated with self-disclosure of substance use, professionals modify their use to be more consistent with perceived social standards and/or protect knowledge about their use from public disclosure. This can perpetuate assumptions that substance use by professionals is “unbecoming” and risks basing decisions and policies on incomplete and inadequate knowledge. Societally, classist ideologies that position professionals as distinct from non-professionals are reified.
Differential structure on kappa-Minkowski space, and kappa-Poincare algebra

We construct realizations of the generators of the $\kappa$-Minkowski space and $\kappa$-Poincar\'{e} algebra as formal power series in the $h$-adic extension of the Weyl algebra. The Hopf algebra structure of the $\kappa$-Poincar\'{e} algebra related to different realizations is given. We construct realizations of the exterior derivative and one-forms, and define a differential calculus on $\kappa$-Minkowski space which is compatible with the action of the Lorentz algebra. In contrast to the conventional bicovariant calculus, the space of one-forms has the same dimension as the $\kappa$-Minkowski space.
Particle transport within the pulsar wind nebula HESS J1825–137

Context. We present a detailed view of the pulsar wind nebula (PWN) HESS J1825–137. We aim to constrain the mechanisms dominating the particle transport within the nebula, accounting for its anomalously large size and spectral characteristics. Aims. The nebula was studied using a deep exposure from over 12 years of H.E. S.S. I operation, together with data from H.E. S.S. II that improve the low-energy sensitivity. Enhanced energy-dependent morphological and spatially resolved spectral analyses probe the very high energy (VHE, E > 0.1 TeV) γ-ray properties of the nebula. Methods. The nebula emission is revealed to extend out to 1.5° from the pulsar, ~1.5 times farther than previously seen, making HESS J1825–137, with an intrinsic diameter of ~100 pc, potentially the largest γ-ray PWN currently known. Characterising the strongly energy-dependent morphology of the nebula enables us to constrain the particle transport mechanisms. A dependence of the nebula extent with energy of R ∝ Eα with α = −0.29 ± 0.04stat ± 0.05sys disfavours a pure diffusion scenario for particle transport within the nebula. The total γ-ray flux of the nebula above 1 TeV is found to be (1.12 ± 0.03stat ± 0.25sys) × 10−11 cm−2 s−1, corresponding to ~64% of the flux of the Crab nebula. Results. HESS J1825–137 is a PWN with clearly energy-dependent morphology at VHE γ-ray energies. This source is used as a laboratory to investigate particle transport within intermediate-age PWNe. Based on deep observations of this highly spatially extended PWN, we produce a spectral map of the region that provides insights into the spectral variation within the nebula.
An Introduction to Polynomial and Semi-Algebraic Optimization

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related problems) described by polynomials (and even semi-algebraic functions). In particular, the author explains how to use relatively recent results from real algebraic geometry to provide a systematic numerical scheme for computing the optimal value and global minimizers. Indeed, among other things, powerful positivity certificates from real algebraic geometry allow one to define an appropriate hierarchy of semidefinite (SOS) relaxations or LP relaxations whose optimal values converge to the global minimum. Several extensions to related optimization problems are also described. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.
Living Well Together Online: Digital
 Wellbeing
 from a Confucian Perspective

The impact of social media technologies (SMTs) on digital wellbeing has become an increasingly important puzzle for ethicists of technology. In this article, we explain why individualised theories of digital wellbeing (DWB) can only solve part of this puzzle. While an individualised conception of DWB is useful for understanding online self-regulation, we contend that we must seek greater understanding of how SMTs connect us. To build an account of this, we locate the conceptual resources for our account in Confucian ethics. In contrast to individualised conceptions of human ﬂ ourishing that are found in the Western tradition, Confucian thinkers strongly emphasise that individuals cannot ﬂ ourish alone, but need wider social structures (partner, family, society, nation). Not only do strands of Confucian ethics explain how individuals are de ﬁ ned by the roles they take up in relationships, but this perspective also makes practical suggestions for how these roles can be cultivated. We conclude our article by identifying the Confucian notions that seem to have most promise for the future design of SMTs.