Miracle-dz/UniFAR-FTUs huggingface dataset:
Annals of Statistics , submitted VALID CONFIDENCE INTERVALS FOR POST-MODEL-SELECTION PREDICTORS By

We consider inference post-model-selection in linear regression. In this setting, Berk et al. (2013a) recently introduced a class of confidence sets, the so-called PoSI intervals, that cover a certain nonstandard quantity of interest with a user-specified minimal coverage probability, irrespective of the model selection procedure that is being used. In this paper, we generalize the PoSI intervals to confidence intervals for post-model-selection predictors.
Deep hyperthermia with the HYPERcollar system combined with irradiation for advanced head and neck carcinoma – a feasibility study

Abstract Purpose: Radiotherapy (RT) treatment of locally-advanced and recurrent head and neck carcinoma (HNC) results in disappointing outcomes. Combination of RT with cisplatin or cetuximab improves survival but the increased toxicity and patient's comorbidity warrant the need for a less-toxic radiosensitizer. Stimulated by several randomized studies demonstrating the radio-sensitizing effect of hyperthermia, we developed the HYPERcollar. Here, we report early experience and toxicity in patients with advanced HNC. Methods and materials: 119 hyperthermia treatments given to 27 patients were analyzed. Hyperthermia was applied once a week by the HYPERcollar aimed at achieving 39–43 °C in the target area, up to patients’ tolerance. Pre-treatment planning was used to optimize treatment settings. When possible, invasive thermometry catheters were placed. Results: Mean power applied during the 119 hyperthermia treatments ranged from 120 to 1007 W (median 543 W). 15 (13%) hyperthermia treatments were not fully completed due to: pain allocated to hyperthermia (6/15), dyspnea from sticky saliva associated with irradiation (2/15) and unknown reasons (7/15). No severe complications or enhanced thermal or mucosal toxicities were observed. Excluding post-operative treatment, response rates after 3 months were 46% (complete) and 7% (partial). Conclusion: Hyperthermia with the HYPERcollar proved to be safe and feasible with good compliance and promising outcome.
Metabolomics study of the therapeutic mechanism of Schisandra chinensis lignans on aging rats induced by d-galactose

Objective The aim of this study was to evaluate the antiaging effect of Schisandra chinensis lignans (SCL) by analyzing the characteristics in the serum of d-galactose (d-gal)-induced rats. Methods Forty male Wistar rats were randomly divided into control group, d-gal model group, low-dose SCL group (50 mg/kg/d), medium-dose SCL group (100 mg/kg/d), and high-dose SCL group (200 mg/kg/d). A serum metabolomics analysis method based on rapid resolution liquid chromatography coupled with quadruple-time-of-flight mass spectrometry was carried out to study the characteristics of d-gal-induced aging rats and evaluate the antiaging effects of SCL, and multivariate statistical analysis was performed for pattern recognition and characteristic metabolites identification. The relative levels of p19, p53, and p21 genes in the brain tissue were measured by quantitative real-time polymerase chain reaction for investigating the underlying mechanism. Results Metabolomics analysis showed that 15 biomarkers were identified and 13 of them recovered to the normal levels after the administration of SCL. Based on the pathway analysis, the antiaging mechanisms of SCL might be involved in the following metabolic pathways: energy, amino acid, lipid, and phospholipid metabolism. Furthermore, SCL significantly inhibited the mRNA expression level of p19, p53, and p21 in the brain of aging rats induced by d-gal. Conclusion These results suggest that SCL can delay rat aging induced by d-gal through multiple pathways.
1 Potential use of heather to control gastrointestinal nematodes in goats

Grupo SALUVET, Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Ciudad Universitaria s/n, 28040-Madrid, Spain Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Área de Sistemas de Producción Animal, Consejería de Medio Rural y Pesca, Principado de Asturias, 33300Villaviciosa, Spain Instituto de Ganadería de Montaña, CSIC-ULE, Finca Marzanas, 24346-Grulleros (León), Spain CECAV, Departamento de Zootecnia, Universidade de Trás-os-Montes e Alto Douro, PO Box 1013, 5000-911 Vila Real, Portugal
Correlation between Helicobacter pylori Infection and Metabolic Abnormality in General Population: A Cross-Sectional Study

Background Previous studies have suggested a link between Helicobacter pylori (H. pylori) and metabolic abnormality. This study aimed at investigating the correlation between H. pylori infection and metabolic abnormality in a general population. Methods All enrolled participants underwent a carbon-13 urea breath test (13C-UBT). For each individual, the following data were collected: age, gender, alanine transaminase (ALT), total protein, albumin, cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), urea nitrogen, creatinine, uric acid, fasting plasma glucose, postprandial blood sugar, nonalcoholic fatty liver disease (NAFLD), and bone mineral density (BMD). Results The study included 1867 (393 females and 1474 males, aged 54.0 ± 9.6 years) people that took a physical examination. There was no significant difference in gender and age between the study participants with and without H. pylori infection. The statistical data are as follows: albumin: P = 0.045, uric acid: P = 0.025, fasting glucose: P = 0.043, and postprandial blood glucose: P = 0.035. In terms of the patients with NAFLD, there were significant differences in ALT and HDL-C between the study participants with and without H. pylori infection. TG (P = 0.048), HDL-C (P = 0.011), and fasting blood glucose (P = 0.018) were significantly different in both groups among individuals who got osteopenia. Conclusion H. pylori infection may be an important factor affecting metabolic abnormality and osteoporosis.
Biodiversity and socioeconomics in the city: a review of the luxury effect

The ecological dynamics of cities are influenced not only by geophysical and biological factors, but also by aspects of human society. In cities around the world, a pattern of higher biodiversity in affluent neighbourhoods has been termed ‘the luxury effect'. The luxury effect has been found globally regarding plant diversity and canopy or vegetative cover. Fewer studies have considered the luxury effect and animals, yet it has been recognized in the distributions of birds, bats, lizards and indoor arthropods. Higher socioeconomic status correlates with higher biodiversity resulting from many interacting factors—the creation and maintenance of green space on private and public lands, the tendency of both humans and other species to favour environmentally desirable areas, while avoiding environmental burdens, as well as enduring legacy effects. The luxury effect is amplified in arid cities and as neighbourhoods age, and reduced in tropical areas. Where the luxury effect exists, benefits of urban biodiversity are unequally distributed, particularly in low-income neighbourhoods with higher minority populations. The equal distribution of biodiversity in cities, and thus the elimination of the luxury effect, is a worthy societal goal.
The human disease network

A network of disorders and disease genes linked by known disorder–gene associations offers a platform to explore in a single graph-theoretic framework all known phenotype and disease gene associations, indicating the common genetic origin of many diseases. Genes associated with similar disorders show both higher likelihood of physical interactions between their products and higher expression profiling similarity for their transcripts, supporting the existence of distinct disease-specific functional modules. We find that essential human genes are likely to encode hub proteins and are expressed widely in most tissues. This suggests that disease genes also would play a central role in the human interactome. In contrast, we find that the vast majority of disease genes are nonessential and show no tendency to encode hub proteins, and their expression pattern indicates that they are localized in the functional periphery of the network. A selection-based model explains the observed difference between essential and disease genes and also suggests that diseases caused by somatic mutations should not be peripheral, a prediction we confirm for cancer genes.
Thirdhand smoke uptake to aerosol particles in the indoor environment

We report a new thirdhand smoke exposure route indoors from semivolatile organic compounds partitioning to aerosols. Aerosol composition measurements made in an indoor classroom indicate the uptake of thirdhand smoke (THS) species to indoor particles, a novel exposure route for THS to humans indoors. Chemical speciation of the organic aerosol fraction using mass spectrometric data and factor analysis identified a reduced nitrogen component, predominantly found in the indoor environment, contributing 29% of the indoor submicron aerosol mass. We identify this factor as THS compounds partitioning from interior surfaces to gas phase and then aerosol phase. Partitioning of THS vapors to aerosols requires an aqueous phase for reactive uptake of the reduced nitrogen species (RdNS), leading to seasonal differences in THS concentration indoors. RdNS protonate under the acidic conditions expected for indoor aerosols of outdoor origin. Controlled laboratory measurements performed using cigarette smoke deposited into a Pyrex vessel showed a similar partitioning behavior to aerosol of outdoor origin and mass spectral features comparable to the measured indoor THS factor after 1 week of residence time in the closed vessel. This study reports a new, potentially large THS exposure route from partitioning of surface volatile organic compounds into the aerosol phase and subsequent dispersion in a mechanically ventilated building.
Senegalese migration to Spain: transnational mothering practices

ABSTRACT This article analyses the relationship between pre-migration fostering practices and the transnational strategies of a group of Senegalese mothers living in Spain. In Senegal, large households, residential separation of couples, and collective fostering are the norm; it is not unusual for children to be under the care of women other than their mother, even for long periods of time. Drawing from data collected during 2 years of transnational multi-sited fieldwork that followed Senegalese mothers between their households of origin and destination, we argue that these women sought to reproduce the Senegalese mainstream mothering ideology in Spain. They did this by adopting two main strategies: long-distance mothering and circular mothering. These strategies were used depending on the age of the child, the constraints imposed on mother and children by migration legislation, and the social capital available to the migrant. This article seeks to integrate a wider range of experiences and the influence of pre-migratory mothering ideologies, kinship systems, and household structures on transnational mothering practices into the existing literature on transnational mothering.
Spectral redemption in clustering sparse networks

Significance Spectral algorithms are widely applied to data clustering problems, including finding communities or partitions in graphs and networks. We propose a way of encoding sparse data using a “nonbacktracking” matrix, and show that the corresponding spectral algorithm performs optimally for some popular generative models, including the stochastic block model. This is in contrast with classical spectral algorithms, based on the adjacency matrix, random walk matrix, and graph Laplacian, which perform poorly in the sparse case, failing significantly above a recently discovered phase transition for the detectability of communities. Further support for the method is provided by experiments on real networks as well as by theoretical arguments and analogies from probability theory, statistical physics, and the theory of random matrices. Spectral algorithms are classic approaches to clustering and community detection in networks. However, for sparse networks the standard versions of these algorithms are suboptimal, in some cases completely failing to detect communities even when other algorithms such as belief propagation can do so. Here, we present a class of spectral algorithms based on a nonbacktracking walk on the directed edges of the graph. The spectrum of this operator is much better-behaved than that of the adjacency matrix or other commonly used matrices, maintaining a strong separation between the bulk eigenvalues and the eigenvalues relevant to community structure even in the sparse case. We show that our algorithm is optimal for graphs generated by the stochastic block model, detecting communities all of the way down to the theoretical limit. We also show the spectrum of the nonbacktracking operator for some real-world networks, illustrating its advantages over traditional spectral clustering.
Asymptotic behaviour for fractional diffusion-convection equations

We consider a convection-diffusion model with linear fractional diffusion in the sub-critical range. We prove that the large time asymptotic behavior of the solution is given by the unique entropy solution of the convective part of the equation. The proof is based on suitable a-priori estimates, among which proving an Oleinik type inequality plays a key role.
Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems

Biometric traits, such as fingerprints, faces and signatures have been employed in bio-cryptosystems to secure cryptographic keys within digital security schemes. Reliable implementations of these systems employ error correction codes formulated as simple distance thresholds, although they may not effectively model the complex variability of behavioral biometrics like signatures. In this paper, a Global-Local Distance Metric (GLDM) framework is proposed to learn cost-effective distance metrics, which reduce within-class variability and augment between-class variability, so that simple error correction thresholds of bio-cryptosystems provide high classification accuracy. First, a large number of samples from a development dataset are used to train a global distance metric that differentiates within-class from between-class samples of the population. Then, once user-specific samples are available for enrollment, the global metric is tuned to a local user-specific one. Proof-of-concept experiments on two reference offline signature databases confirm the viability of the proposed approach. Distance metrics are produced based on concise signature representations consisting of about 20 features and a single prototype. A signature-based bio-cryptosystem is designed using the produced metrics and has shown average classification error rates of about 7% and 17% for the PUCPR and the GPDS-300 databases, respectively. This level of performance is comparable to that obtained with complex state-of-the-art classifiers.
HPV infection in oropharyngeal squamous cell carcinomas: correlation with tumor size.

PURPOSE Human papillomavirus (HPV) is implicated in carcinogenesis of a variety of epithelia, including oropharyngeal and laryngeal. High risk (HR) HPV persistent infection in head and neck squamous cell carcinomas (HNSCC) is a significant event, but its influence regarding the prognosis and survival in these patients remains under consideration. Our aim was to analyze a series of oropharyngeal (OP) SCCs at the HPV DNA level, correlating them to the survival status of the corresponding patients. METHODS Using HPV DNA polymerase chain reaction (PCR) microarray technology, 28 formalin-fixed, paraffinembedded primary OPSCCs were cored and analyzed. RESULTS Positive DNA amplicons for HPV infection were detected in 3 SCC cases (sub types: HPV 31/35/70). Interestingly, HPV persistent infection was associated with larger tumors (p=0.029) which also affected survival status (p=0.007) in the corresponding patients. Overall survival was also significantly dependent on the stage of the malignancies (p=0.022). Furthermore, tumor size was significantly and negatively correlated with age (p=0.015), meaning that younger patients will probably develop larger tumors. CONCLUSIONS HPV-depended OPSCCs - although not so common as the laryngeal ones, but still not so rare in the rural population in Greece - are characterized by a combination of specific features. Our results showed that survival was adversely effected by the stage of the disease and tumor size and indirectly by the presence of HPV - especially in young adults - while the combined surgery/radiotherapy/ chemotherapy therapy seems to prolong survival. Additionally, HPV co-existence seems to be associated with larger tumors and poor survival.
Microfluidic Tensiometry Technique for the Characterization of the Interfacial Tension between Immiscible Liquids

The interfacial tension between two immiscible fluids is of critical importance for understanding many natural phenomena as well as in industrial production processes; however, it can be challenging to measure this parameter with high accuracy. Most commonly used techniques have significant shortcomings because of their reliance on other data such as density or viscosity. To overcome these issues, we devise a technique that works with very small sample quantities and does not require any data about either fluid, based on micropipette aspiration techniques. The method facilitates the generation of a droplet of one fluid inside of the other, followed by immediate in situ aspiration of the droplet into a constricted channel. A modified Young–Laplace equation is then used to relate the pressure needed to produce a given deformation of the droplet’s radius to the interfacial tension. We demonstrate this technique on different systems with interfacial tensions ranging from sub-millinewton per meter to several hundred millinewton per meter, thus over 4 orders of magnitude, obtaining precise results in agreement with the literature solely from experimental observations of the droplet deformation.
Exploring the Link Between Cognitive Abilities and Speech Recognition in the Elderly Under Different Listening Conditions

Elderly listeners are known to differ considerably in their ability to understand speech in noise. Several studies have addressed the underlying factors that contribute to these differences. These factors include audibility, and age-related changes in supra-threshold auditory processing abilities, and it has been suggested that differences in cognitive abilities may also be important. The objective of this study was to investigate associations between performance in cognitive tasks and speech recognition under different listening conditions in older adults with either age appropriate hearing or hearing-impairment. To that end, speech recognition threshold (SRT) measurements were performed under several masking conditions that varied along the perceptual dimensions of dip listening, spatial separation, and informational masking. In addition, a neuropsychological test battery was administered, which included measures of verbal working and short-term memory, executive functioning, selective and divided attention, and lexical and semantic abilities. Age-matched groups of older adults with either age-appropriate hearing (ENH, n = 20) or aided hearing impairment (EHI, n = 21) participated. In repeated linear regression analyses, composite scores of cognitive test outcomes (evaluated using PCA) were included to predict SRTs. These associations were different for the two groups. When hearing thresholds were controlled for, composed cognitive factors were significantly associated with the SRTs for the ENH listeners. Whereas better lexical and semantic abilities were associated with lower (better) SRTs in this group, there was a negative association between attentional abilities and speech recognition in the presence of spatially separated speech-like maskers. For the EHI group, the pure-tone thresholds (averaged across 0.5, 1, 2, and 4 kHz) were significantly associated with the SRTs, despite the fact that all signals were amplified and therefore in principle audible.
Motivated strategies for learning and their association with academic performance of a diverse group of 1st-year medical students

Background. Most instruments, including the well-known Motivated Strategies for Learning Questionnaire (MSLQ), have been designed in western homogeneous settings. Use of the MSLQ in health professions education is limited. Objective. To assess the MSLQ and its association with the academic performance of a heterogeneous group of 1st-year medical students. Methods. Eighty-three percent of 1st-year medical students consented to participate in this quantitative study. The MSLQ consisted of a motivation strategies component with six subscales, while the learning strategies component had nine subscales. Demographic and academic achievement information of the students was also collected. Stata version 13 (StataCorp LP, USA) was used for the statistical analyses of all data. Results. Female students displayed significantly higher motivational scores. Students with prior educational experience and those who attended peer mentoring sessions had significantly higher learning strategy scores. Significant but moderate relationships were found between academic performance and the motivation strategies subsumed within the categories ‘task value’ and ‘self-efficacy for learning performance’. In terms of the ‘learning strategy component’, ‘critical thinking’, and ‘time and study environment’, the composite score was significantly but poorly correlated to academic performance. Conclusion. Overall, limited correlations were found between the MSLQ scores and academic performance. Further investigation of the use of the MSLQ and its association with academic achievement is recommended, with greater focus on specific learning events than on course outcomes. This study highlights the importance of evaluating an instrument in a specific context before accepting the findings of others with regard to the use of the instrument and its correlation with academic performance.