Miracle-dz/UniFAR-FTUs huggingface dataset:
Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys

The treatment of unknown foreground contaminations will be one of the major challenges for galaxy clustering analyses of coming decadal surveys. These data contaminations introduce erroneous large-scale effects in recovered power spectra and inferred dark matter density fields. In this work, we present an effective solution to this problem in the form of a robust likelihood designed to account for effects due to unknown foreground and target contaminations. Conceptually, this robust likelihood marginalizes over the unknown large-scale contamination amplitudes. We showcase the effectiveness of this novel likelihood via an application to a mock SDSS-III data set subject to dust extinction contamination. In order to illustrate the performance of our proposed likelihood, we infer the underlying dark-matter density field and reconstruct the matter power spectrum, being maximally agnostic about the foregrounds. The results are compared to those of an analysis with a standard Poissonian likelihood, as typically used in modern large-scale structure analyses. While the standard Poissonian analysis yields excessive power for large-scale modes and introduces an overall bias in the power spectrum, our likelihood provides unbiased estimates of the matter power spectrum over the entire range of Fourier modes considered in this work. Further, we demonstrate that our approach accurately accounts for and corrects the effects of unknown foreground contaminations when inferring three-dimensional density fields. Robust likelihood approaches, as presented in this work, will be crucial to control unknown systematic error and maximize the outcome of the decadal surveys.
The Effect of Electronic Word of Mouth to Repurchase Intention of Shopee Online Store Consumers in Medan City

The development of technology from year to year is increasingly rapid. The development of the use of the internet is one form of technological development that has delivered many conveniences in various activities in life, such as online business transactions. Every online store expects an increase in total transactions, both from new customers and from previous consumers to increase profits. Thus, online seller need to understand the reasons why consumers are willing to repeat purchases through the online store. The purpose of this study was to determine the effect of electronic word of mouth on repurchase intention. This study involved 415 consumers of Shopee online store in Medan. Measuring instruments used in this study were the scale of repurchase intention and electronic word of mouth scale. Based on the results of the regression analysis shows that electronic word of mouth has a positive and significant effect on the intention to repurchase. The implication of this research is that online store company can increase the intention to repurchase consumers by empowering consumers to disseminate positive information in various internet media.
Injury incidence and risk factors: a cohort study of 706 8-km or 16-km recreational runners

Objectives To report (1) the injury incidence in recreational runners in preparation for a 8-km or 16-km running event and (2) which factors were associated with an increased injury risk. Methods Prospective cohort study in Amsterdam, the Netherlands. Participants (n=5327) received a baseline survey to determine event distance (8 km or 16 km), main sport, running experience, previous injuries, recent overuse injuries and personal characteristics. Three days after the race, they received a follow-up survey to determine duration of training period, running distance per week, training hours, injuries during preparation and use of technology. Univariate and multivariate regression models were applied to examine potential risk factors for injuries. Results 1304 (24.5%) participants completed both surveys. After excluding participants with current health problems, no signed informed consent, missing or incorrect data, we included 706 (13.3%) participants. In total, 142 participants (20.1%) reported an injury during preparation for the event. Univariate analyses (OR: 1.7, 95% CI 1.1 to 2.4) and multivariate analyses (OR: 1.7, 95% CI 1.1 to 2.5) showed that injury history was a significant risk factor for running injuries (Nagelkerke R-square=0.06). Conclusion An injury incidence for recreational runners in preparation for a running event was 20%. A previous injury was the only significant risk factor for running-related injuries.
Pretreatment Neutrophil-to-Lymphocyte Ratio Was a Predictor of Lymph Node Metastasis in Endometrial Cancer Patients

Objective: The pretreatment neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) have been reported to be useful as markers for prognostic factors and metastasis in several cancers. The aim of this study was to identify the predictor of lymph node (LN) metastasis by pretreatment NLR and PLR in patients with endometrial cancer. Methods: Medical charts of the patients with endometrial cancers that received primary surgery at our hospital between 2007 and 2013 were retrospectively analyzed. The cutoff value was calculated from the receiver operating characteristics (ROC) curve. Clinicopathological parameters including inflammatory markers were evaluated for LN metastasis using multiple logistic regression analysis. Results: Among 197 patients enrolled in the study, LN metastasis was observed in 25 patients (13%). ROC curves demonstrated that the best cutoff value of NLR for predicting LN metastasis was 2.18 and that of PLR was 206. In univariate analysis, several pathological factors, NLR, and PLR were identified as predictors of LN metastasis. In multiple logistic regression analysis, lymphovascular invasion and NLR were found to be significantly correlated with LN metastasis (p = 0.002, 0.039). Conclusion: A higher pretreatment NLR was identified as a predictor of LN metastasis in endometrial cancers. Although further study is needed to confirm the results, NLR could be a candidate clinical marker for detection of LN metastasis.
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architectures. However, the generalizability to different environments remains an elusive goal. In this work, we propose a geometry-aware 3D representation for the human pose to address this limitation by using multiple views in a simple auto-encoder model at the training stage and only 2D keypoint information as supervision. A view synthesis framework is proposed to learn the shared 3D representation between viewpoints with synthe- sizing the human pose from one viewpoint to the other one. Instead of performing a direct transfer in the raw image- level, we propose a skeleton-based encoder-decoder mechanism to distil only pose-related representation in the latent space. A learning-based representation consistency constraint is further introduced to facilitate the robustness of latent 3D representation. Since the learnt representation encodes 3D geometry information, mapping it to 3D pose will be much easier than conventional frameworks that use an image or 2D coordinates as the input of 3D pose estimator. We demonstrate our approach on the task of 3D human pose estimation. Comprehensive experiments on three popular benchmarks show that our model can significantly improve the performance of state-of-the-art methods with simply injecting the representation as a robust 3D prior.
Observational Predictions for Sub-Chandrasekhar Mass Explosions: Further Evidence for Multiple Progenitor Systems for Type Ia Supernovae

We present a numerical parameter survey of sub-Chandrasekhar mass white dwarf (WD) explosions. Carbon–oxygen WDs accreting a helium shell have the potential to explode in the sub-Chandrasekhar mass regime. Previous studies have shown how the ignition of a helium shell can either directly ignite the WD at the core–shell interface or propagate a shock wave into the the core causing a central ignition. We examine the explosions of WDs from 0.6 to 1.2 M⊙ with helium shells of 0.01, 0.05, and 0.08 M⊙. Distinct observational signatures of sub-Chandrasekhar mass WD explosions are predicted for two categories of shell size. Thicker-shell models show an early time flux excess, which is caused by the presence of radioactive material in the ashes of the helium shell, and red colors due to these ashes creating significant line blanketing in the UV through the blue portion of the spectrum. Thin shell models reproduce several typical Type Ia supernova signatures. We identify a relationship between Si ii velocity and luminosity that, for the first time, identifies a subclass of observed supernovae that are consistent with these models. This subclass is further delineated by the absence of carbon in their atmospheres. We suggest that the proposed difference in the ratio of selective to total extinction between the high velocity and normal velocity Type Ia supernovae is not due to differences in the properties of the dust around these events, but is rather an artifact of applying a single extinction correction to two intrinsically different populations of supernovae.
A cytochrome P450 allele confers pyrethroid resistance on a major African malaria vector, reducing insecticide-treated bednet efficacy

A cytochrome P450 DNA marker in a major mosquito vector of malaria indicates that pyrethroid resistance reduces bednet efficacy. Tracking insecticide resistance Malaria prevention relies extensively on mosquito control using insecticide-treated bednets. However, insecticide resistance in mosquito vectors of malaria threatens control of this disease. In a new study, Weedall et al. detected the major genes conferring insecticide resistance on the Anopheles mosquito vector of malaria in Africa. They found a DNA marker in a gene (cytochrome P450) encoding an enzyme that breaks down the insecticides used for treating bednets. The authors then designed a simple test allowing this resistance to be tracked and showed that mosquitoes carrying this resistance marker were better able to survive and to take a blood meal after exposure to insecticide-treated bednets in a field hut study in Cameroon. Metabolic resistance to insecticides such as pyrethroids in mosquito vectors threatens control of malaria in Africa. Unless it is managed, recent gains in reducing malaria transmission could be lost. To improve monitoring and assess the impact of insecticide resistance on malaria control interventions, we elucidated the molecular basis of pyrethroid resistance in the major African malaria vector, Anopheles funestus. We showed that a single cytochrome P450 allele (CYP6P9a_R) in A. funestus reduced the efficacy of insecticide-treated bednets for preventing transmission of malaria in southern Africa. Expression of key insecticide resistance genes was detected in populations of this mosquito vector throughout Africa but varied according to the region. Signatures of selection and adaptive evolutionary traits including structural polymorphisms and cis-regulatory transcription factor binding sites were detected with evidence of selection due to the scale-up of insecticide-treated bednet use. A cis-regulatory polymorphism driving the overexpression of the major resistance gene CYP6P9a allowed us to design a DNA-based assay for cytochrome P450–mediated resistance to pyrethroid insecticides. Using this assay, we tracked the spread of pyrethroid resistance and found that it was almost fixed in mosquitoes from southern Africa but was absent from mosquitoes collected elsewhere in Africa. Furthermore, a field study in experimental huts in Cameroon demonstrated that mosquitoes carrying the resistance CYP6P9a_R allele survived and succeeded in blood feeding more often than did mosquitoes that lacked this allele. Our findings highlight the need to introduce a new generation of insecticide-treated bednets for malaria control that do not rely on pyrethroid insecticides.
Selective Attention for Context-aware Neural Machine Translation

Despite the progress made in sentence-level NMT, current systems still fall short at achieving fluent, good quality translation for a full document. Recent works in context-aware NMT consider only a few previous sentences as context and may not scale to entire documents. To this end, we propose a novel and scalable top-down approach to hierarchical attention for context-aware NMT which uses sparse attention to selectively focus on relevant sentences in the document context and then attends to key words in those sentences. We also propose single-level attention approaches based on sentence or word-level information in the context. The document-level context representation, produced from these attention modules, is integrated into the encoder or decoder of the Transformer model depending on whether we use monolingual or bilingual context. Our experiments and evaluation on English-German datasets in different document MT settings show that our selective attention approach not only significantly outperforms context-agnostic baselines but also surpasses context-aware baselines in most cases.
The Relationship Between Living Alone and Self-Rated Health Varies by Age: Evidence From the National Health Interview Survey

Despite growing attention to the connection between living arrangements and health, less is known about how the health of individuals living alone varies by age. Using data from the 2016 National Health Interview Survey (N = 30,079), we estimated logistic regression models stratified by age group, comparing health by living arrangement and controlling for sociodemographic characteristics. Middle-aged adults living alone had higher odds of poor/fair self-rated health, compared with adults living with others (35-64 years of age: adjusted odds ratio [AOR] = 1.19, p < .05). In contrast, older adults (65 years and older) living alone had significantly lower odds of reporting poor/fair health than their counterparts living with others (AOR = .70, p < .001). The direction of association between self-rated health and other covariates did not differ by age group. The relationship between living alone and health varies by age and policies and programs designed to support the growing population of people living alone should be tailored accordingly.
Antitumor activity and safety of sirolimus for solid tumors with PIK3CA mutations: A multicenter, open-label, prospective single-arm study (KM 02-01, KCSG UN17-16)

Background PIK3CA contributes to cell growth via the PI3K-AKT-mammalian target of rapamycin (mTOR) signaling pathway. Mutations in the pathway are frequently observed in solid tumors. We assessed the efficacy and safety of sirolimus, an mTOR inhibitor, in chemotherapy-refractory solid tumors with PIK3CA mutations or amplifications. Methods This was an open-label, single-arm, multicenter pilot study. Twenty-four patients with solid tumors harboring a PIK3CA mutation were treated with sirolimus between July 2017 and March 2019. Treatment was continued until disease progression, unacceptable adverse events, or death. The primary end points were the overall response rate (ORR), disease control rate (DCR), and safety. Results The median follow-up time was 6.1 months. Two patients with rapid disease progression-related death, one who withdrew, and one with a non-target lesion only were excluded from the analysis. Among 20 evaluable patients, 6 patients showed stable disease and 14 showed progressive disease (ORR 0%, DCR 30%). The median progression-free survival was 2.39 months (95% confidence interval, 1.97–2.81 months). The most common adverse event was abdominal pain (20.8%), followed by anemia (16.7%) and fatigue (16.7%). The adverse events were generally manageable. Conclusions Although safe, sirolimus monotherapy did not show meaningful antitumor activity in chemotherapy-refractory solid tumors with PIK3CA mutations. Combinations of mTOR inhibitors for stabilization and other antitumor agents with beneficial effects on tumor volume may improve outcomes.
Longitudinal associations of affective symptoms with mid-life cognitive function: evidence from a British birth cohort

Background Affective disorders are associated with poorer cognition in older adults; however, whether this association can already be observed in mid-life remains unclear. Aims To investigate the effects of affective symptoms over a period of 30 years on mid-life cognitive function. First, we explored whether timing (sensitive period) or persistence (accumulation) of affective symptoms predicted cognitive function. Second, we tested how different longitudinal trajectories of affective symptoms were associated with cognitive function. Method The study used data from the National Child Development Study. Memory, verbal fluency, information processing speed and accuracy were measured at age 50. Affective symptoms were measured at ages 23, 33, 42 and 50 and used to derive longitudinal trajectories. A structured modelling approach compared a set of nested models in order to test accumulation versus sensitive period hypotheses. Linear regressions and structural equation modelling were used to test for longitudinal associations of affective symptoms with cognitive function. Results Accumulation of affective symptoms was found to be the best fit for the data, with persistent affective symptoms being associated with poorer immediate memory (b = −0.07, s.e. = 0.03, P = 0.01), delayed memory (b = −0.13, s.e. = 0.04, P < 0.001) and information processing accuracy (b = 0.18, s.e. = 0.08, P = 0.03), but not with information processing speed (b = 3.15, s.e. = 1.89, P = 0.10). Longitudinal trajectories of repeated affective symptoms were associated with poorer memory, verbal fluency and information processing accuracy. Conclusions Persistent affective symptoms can affect cognitive function in mid-life. Effective management of affective disorders to prevent recurrence may reduce risk of poor cognitive outcomes and promote healthy cognitive ageing. Declaration of interest None.
Efficacy of Polytetrafluoroethylene/Polylactide-co-glycolide (PTFE/PLGA) Laminate and PTFE/PLGA Laminate Containing Slow-Releasing Thalidomide in Delayed Adjustable Strabismus Surgery in a Rabbit Model

ABSTRACT Purpose: To evaluate the efficacy of polytetrafluoroethylene/polylactide-co-glycolide (PTFE/PLGA) laminate containing sustained-release thalidomide for delayed adjustable strabismus surgery. Methods: This is a prospective, masked-observer, controlled study using 50 eyes of 25 rabbits. After superior rectus muscle (SRM) recession, a PTFE/PLGA laminate containing thalidomide (group PT, 20 eyes), PTFE/PLGA laminate alone (group P, 20 eyes), or no barrier (group C, 10 eyes) were applied around the SRM. Delayed adjustment was performed at postoperative 3 or 5 weeks. Adjustability, adjustment lengths, adjustment forces, and degrees of adhesion were evaluated. Results: Both groups PT and P showed significantly better adjustability compared to group C at both 3 weeks (100%, 80%, and 0%, respectively) and 5 weeks (100%, 90%, and 0%, respectively). Between groups PT and P, adjustability, adjustment lengths, and forces were not significantly different at 3 and 5 weeks. Group PT showed a significantly lower grade of adhesion between SRM and sclera (SRM/S) compared to group C at both 3 weeks (p = 0.007) and 5 weeks (p = 0.001, respectively). Group P showed no significant difference in adhesion between SRM/S compared to group C at 3 weeks (p= 0.302) but had a lower grade of adhesion after 5 weeks (p = 0.007). There was no significant difference between groups PT and P at 3 weeks (p= 0.143) and 5 weeks (p= 0.716). Conclusions: PTFE/PLGA laminate containing sustained-release thalidomide was effective in reducing adhesion and allowed delayed adjustment in all eyes. However, PTFE/PLGA laminate alone was also equally effective in reducing adhesion compared to controls.
Alexandrov geometry: foundations

Alexandrov spaces are defined via axioms similar to those given by Euclid. The Alexandrov axioms replace certain equalities with inequalities. Depending on the signs of the inequalities, we obtain Alexandrov spaces with curvature bounded above and curvature bounded below. The definitions of the two classes of spaces are similar, but their properties and known applications are quite different. Our approach is novel in its attention to the interrelatedness of the two fields, and its emphasis on the way each illuminates the other. The goal of this book is to give a comprehensive exposition of the structure theory of Alexandrov spaces with curvature bounded above and below. It includes all the basic material as well as selected topics inspired by considering the two contexts simultaneously. We only consider the intrinsic theory, leaving applications aside. This book includes material up to the definition of dimension. Another volume still in preparation will cover further topics.
Accurate and Infinite Prime Prediction from Novel Quasi-Prime Analytical Methodology

It is known that prime numbers occupy specific geometrical patterns or moduli when numbers from one to infinity are distributed around polygons having sides that are integer multiple of number 6. In this paper, we will show that not only prime numbers occupy these moduli, but non-prime numbers sharing these same moduli have unique prime-ness properties. When utilizing digital root methodologies, these non-prime numbers provide a novel method to accurately identify prime numbers and prime factors without trial division or probabilistic-based methods. We will also show that the icositetragon (24-sided regular polygon) is a unique polygon pertaining to prime numbers and their ultimate incidence and distribution.
Three-dimensional cellular aggregates formed by Beauveria pseudobassiana in liquid culture with potential for use as a biocontrol agent of the African black beetle (Heteronychus arator)

ABSTRACT Beauveria pseudobassiana formed three-dimensional aggregates of cells (CAs) in liquid culture. CAs were formed mainly by blastospores and conidia, distinct from microsclerotia formed through adhesion of hyphae. The formation, germination and sporulation of CAs were studied, as well as the pathogenicity of conidia produced from them against adults of black beetle. After 4 days of culture, CAs were formed, becoming compact and melanised after 10 days of incubation. Electron microscopy showed three-dimensional CAs averaging 431.65 µm in length with irregular shapes and rough surfaces, where cells were trapped within an extracellular matrix. CAs germinated after 2 days of incubation on agar-plates producing hyphae and forming phialides and conidia after 4 days. Produced conidia caused 45% mortality of black beetle adults. CAs germination and sporulation on soil were directly correlated with soil moisture, reaching 80% and 100% germination on the surface of soil with 17% and 30% moisture, respectively. CAs maintained 100% germination after 2 years of storage under refrigeration. These CAs could have a similar function as microsclerotia in nature, acting as resistant structures able to protect internal cells and their ability to sporulate producing infective conidia, suggesting their potential to be used as bioinsecticides to control soil-dwelling insects.
An ordered set of power-efficiency trade-offs

In this paper, we derive a number of inequalities which express power-efficiency trade-offs that hold generally for thermodynamic machines operating in non-equilibrium stationary states. One of these inequalities concerns the output power, which is bounded by a quadratic function of the thermodynamic efficiency multiplied by a factor. Different factors can be obtained according to the level of knowledge one has about the underlying dynamics of the machine, they can depend for instance on the covariance of the input flux, the dynamical activity, or the non-equilibrium conductance.