Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor Cell Dormancy and Reactivation in Bone: Skeletal Biology and Therapeutic Opportunities

In the advanced stages of many cancers, tumor cells disseminate from the primary site and colonize distant locations such as the skeleton. These disseminated tumor cells colonizing bone can evade treatments and survive for prolonged periods in a dormant state before becoming reactivated to form overt metastases. The precise interactions between tumor cells and the bone microenvironment that promote survival, dormancy, and reactivation are currently unknown; as a result, bone metastases remain incurable. In this review we discuss the unique cellular and microenvironmental features of endosteal bone that tumor cells engage with to persist and survive, and ultimately reactivate and proliferate. Specifically, we provide a detailed summary of current perspectives on the processes of tumor cell colonization of the skeleton, and the endosteal bone cells as critical controllers of the dormant cancer cell phenotype, as well as relevant microenvironmental effects such as hypoxia. Evidence for the role of the osteoclast in controlling dormant cancer cell reactivation in bone is highlighted, preceding a discussion of therapeutics targeting the bone microenvironment, including anti‐RANK ligand and bisphosphonate therapies and their potential utility in preventing tumor cell reactivation in addition to protecting bone from tumor‐induced destruction. © 2018 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.
Assuming ability of youth with autism: Synthesis of methods capturing the first-person perspectives of children and youth with disabilities

Most research regarding youth with autism spectrum disorder has not focused on their first-person perspectives providing limited insight into methodologies best suited to eliciting their voices. We conducted a synthesis of methods previously used to obtain the first-person perspectives of youth with various disabilities, which may be applicable to youth with autism spectrum disorder. Two-hundred and eighty-four articles met the inclusion criteria of our scoping review. We identified six distinct primary methods (questionnaires, interviews, group discussion, narratives, diaries, and art) expressed through four communication output modalities (language, sign language and gestures, writing, and images). A group of parents who have children with autism spectrum disorder were then presented with a synthesis of results. This parent consultation was used to build on approaches identified in the literature. Parents identified barriers that may be encountered during participant engagement and provided insights on how best to conduct first-person research with youth with autism spectrum disorder. Based on our findings, we present a novel methodological framework to capture the perspectives of youth with various communication and cognitive abilities, while highlighting family, youth, and expert contributions.
Investigation on the mechanical properties of press-hardened boron steel sheets using the conductive heating technique

An aluminized 22MnB5 (Boron) steel sheet, used for structural parts in the automotive industry, was subjected to press-hardening followed by austenitizing, both in a conventional furnace and via the conductive (electric resistance) heating method, an innovative technique based on the Joule’s principle for fast heating of the sheet metal. Conductive heating presents a number of advantages over the in-furnace heating method. These include a more efficient use of energy, as well as the requirement of less time and space for heating, thus lowering costs. After press-hardening was performed using both methods, the microstructural and mechanical characterizations of both specimens were examined for optical microscopy, hardness, tensile strength, and high-speed impact tests. The results showed that the press-hardening process transformed the ferritic–pearlitic microstructure in the as-received state into martensite after die quenching and caused a substantial increase in hardness and strength at the expense of ductility and impact toughness. On the other hand, no significant difference was observed in either the microstructure or mechanical properties with respect to the heating method used. The results obtained in the present investigation concur with the findings of current literature.
Victims of Severe Intimate Partner Violence Are Left Without Advocacy Intervention in Primary Care Emergency Rooms: A Prospective Observational Study

Intimate partner violence (IPV) is a common cause of musculoskeletal injury. Although serious injuries are relatively rare, IPV is one of the leading causes of homicide. IPV victims seeking help in health care are known to be at specific risk of re-abuse. Previous studies of IPV victims in emergency room (ER) settings have focused on injury patterns, but little is known about the violence behind bruises and fractures. The aim of this study was to examine how violence severity and known risk factors for lethal re-abuse in IPV victims attending ERs are associated with injury severity, different patient groups, and referral to advocacy services. This was a prospective, observational, multicenter study of 146 self-reporting IPV victims in two Level IV trauma centers in Helsinki from October 2012 to November 2013. In our sample, serious injuries were rare, but patients had typically suffered severe violence, and half had at least one risk factor for lethal re-abuse. Both sexes and all age groups were represented among the patient profiles, and 88% attended ERs outside common working hours. Only 19% were referred to advocacy, and severe violence or risk factors for lethal re-abuse did not affect prevalence of referrals. Our results show that IPV victims in primary care ERs have typically either experienced severe violence or are at serious risk of re-abuse and even death. The resulting injuries do not usually require medical aftercare, and victims typically present outside common working hours. In the absence of a clear follow-up protocol, most IPV victims are left without any advocacy intervention.
GGCT promotes colorectal cancer migration and invasion via epithelial-mesenchymal transition

Colorectal cancer (CRC) is one of the most common malignancies, and the fourth most common cause of cancer-associated mortality globally. The epithelial to mesenchymal transition (EMT) serves an important function in metastatic dissemination and determines the aggressiveness of CRC. However, the regulatory mechanism of EMT in CRC has not yet been elucidated. γ-glutamylcyclotransferase (GGCT) is an important enzyme in glutathione metabolism and highly expressed in numerous forms of cancer, making it a promising therapeutic target. In the present study, GGCT was demonstrated to be highly expressed in CRC tissues, and patients with CRC with a higher expression of GGCT exhibited a worse prognosis compared with patients exhibiting a lower expression of GGCT. This result suggests that GGCT may serve as a novel prognostic marker for CRC. Furthermore, GGCT was indicated to promote CRC cell migration and invasion through regulating EMT-associated genes, including N-cadherin, Vimentin, snail family transcriptional repressor 2 and snail family transcriptional repressor 1. In conclusion, the present study provides novel insights into the mechanism governing CRC migration and invasion, and identified GGCT as a promising therapeutic target that may be used in the treatment of CRC.
Solvent-Induced Control over Breathing Behavior in Flexible Metal-Organic Frameworks for Natural-Gas Delivery.

Finding appropriate stimuli for controlling the breathing behavior of flexible metal-organic frameworks (MOFs) is highly challenging. Herein, we report the solvent-induced changes in the particle size and stability of different breathing phases of the MIL-53 series, a group of flexible MOFs. A water/dimethylformamide (DMF) ratio is tuned to synthesize members of the MIL-53 series which have different behaviors. The breathing is explored by high-pressure methane sorption tests. Increasing DMF concentration decreases MOF particle size and increases the stability of the porous phases, boosting the 5.8-65 bar sorption difference of methane, which is required for natural-gas delivery.
Information Maximizing Visual Question Generation

Though image-to-sequence generation models have become overwhelmingly popular in human-computer communications, they suffer from strongly favoring safe generic questions (``What is in this picture? ''). Generating uninformative but relevant questions is not sufficient or useful. We argue that a good question is one that has a tightly focused purpose --- one that is aimed at expecting a specific type of response. We build a model that maximizes mutual information between the image, the expected answer and the generated question. To overcome the non-differentiability of discrete natural language tokens, we introduce a variational continuous latent space onto which the expected answers project. We regularize this latent space with a second latent space that ensures clustering of similar answers. Even when we don't know the expected answer, this second latent space can generate goal-driven questions specifically aimed at extracting objects (``what is the person throwing''), attributes, (``What kind of shirt is the person wearing? ''), color (``what color is the frisbee? ''), material (``What material is the frisbee? ''), etc. We quantitatively show that our model is able to retain information about an expected answer category, resulting in more diverse, goal-driven questions. We launch our model on a set of real world images and extract previously unseen visual concepts.
A note on the common spectral properties for bounded linear operators

Let X and Y be Banach spaces, A : X ? Y and B, C : Y ? X be bounded linear operators. We prove that if A(BA)2 = ABACA = ACABA = (AC)2A, then ? *(AC) {0} = ? *(BA)\{0} where ? + runs over a large of spectra originated by regularities.
The relationship between personality, work, and personal factors to burnout among clinical psychologists: exploring gender differences in Sweden

ABSTRACT This study investigated the effects of gender, personality (prosocialness, relational-interdependent self-construal, and brooding), job demands, affective work rumination, and personal-to-work conflict on burnout (exhaustion and disengagement), among clinical public-health psychologists in Sweden. The participants answered a self-report questionnaire (n = 828). Hierarchical multiple regression analyses showed that affective work-rumination, brooding and personal-to-work conflict were most strongly associated with exhaustion, whereas affective work-rumination, brooding, role conflict, and prosocialness most strongly predicted disengagement. Furthermore, in the full models, quantitative job demands and relational-interdependent self-construal related to exhaustion, whereas emotional demands related to disengagement. Interestingly, role conflict had a positive relation and emotional demands a negative relation to disengagement. Women reported higher exhaustion, but not higher disengagement, than men. Women also reported higher levels on most of the independent variables. In sum, the results show that a broad range of factors influence burnout among clinical psychologists.
Semiparametrically Efficient Estimation of the Average Linear Regression Function

Let Y be an outcome of interest, X a vector of treatment measures, and W a vector of pre-treatment control variables. Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive “treatments”. Consider the linear regression of Y onto X in a subpopulation homogenous in W = w (formally a conditional linear predictor). Let b 0 (w) be the coefficient vector on X in this regression. We introduce a semiparametrically efficient estimate of the average β 0 = E[b 0 (W)]. When X is binary-valued (multi-valued) our procedure recovers the (a vector of) average treatment effect(s). When X is continuously-valued, or consists of multiple non-exclusive treatments, our estimand coincides with the average partial effect (APE) of X on Y when the underlying potential response function is linear in X, but otherwise heterogenous across agents. When the potential response function takes a general nonlinear/heterogenous form, and X is continuously-valued, our procedure recovers a weighted average of the gradient of this response across individuals and values of X. We provide a simple, and semiparametrically efficient, method of covariate adjustment for settings with complicated treatment regimes. Our method generalizes familiar methods of covariate adjustment used for program evaluation as well as methods of semiparametric regression (e.g., the partially linear regression model).
Cortical Electrocorticogram (ECoG) Is a Local Signal

Electrocorticogram (ECoG), obtained by low-pass filtering the brain signal recorded from a macroelectrode placed on the cortex, is extensively used to find the seizure focus in drug-resistant epilepsy and is of growing importance in cognitive and brain–machine-interfacing studies. To accurately estimate the epileptogenic cortex or to make inferences about cognitive processes, it is important to determine the “spatial spread” of ECoG (i.e., the extent of cortical tissue that contributes to its activity). However, the ECoG spread is currently unknown; even the spread of local field potential (LFP) obtained from microelectrodes is debated, with estimates ranging from a few hundred micrometers to several millimeters. Spatial spread can be estimated by measuring the receptive field (RF) and multiplying by the cortical magnification factor, but this method overestimates the spread because RF size gets inflated due to several factors. This issue can be partially addressed using a model that compares the RFs of two measures, such as LFP and multi-unit activity (MUA). To use this approach for ECoG, we designed a customized array containing both microelectrodes and ECoG electrodes to simultaneously map MUA, LFP, and ECoG RFs from the primary visual cortex of awake monkeys (three female Macaca radiata). The spatial spread of ECoG was surprisingly local (diameter ∼3 mm), only 3 times that of the LFP. Similar results were obtained using a model to simulate ECoG as a sum of LFPs of varying electrode sizes. Our results further validate the use of ECoG in clinical and basic cognitive research. SIGNIFICANCE STATEMENT Brains signals capture different attributes of the neural network depending on the size and location of the recording electrode. Electrocorticogram (ECoG), obtained by placing macroelectrodes (typically 2–3 mm diameter) on the exposed surface of the cortex, is widely used by neurosurgeons to identify the source of seizures in drug-resistant epileptic patients. The brain area responsible for seizures is subsequently surgically removed. Accurate estimation of the epileptogenic cortex and its removal requires the estimation of spatial spread of ECoG. Here, we estimated the spatial spread of ECoG in five behaving monkeys using two different approaches. Our results suggest that ECoG is a local signal (diameter of ∼3 mm), which can provide a useful tool for clinical, cognitive neuroscience, and brain–machine-interfacing applications.
Evolutionary models of cold and low-mass planets: cooling curves, magnitudes, and detectability

Context. Future instruments like the Near Infrared Camera (NIRCam) and the Mid Infrared Instrument (MIRI) on the James Webb Space Telescope (JWST) or the Mid-Infrared E-ELT Imager and Spectrograph (METIS) at the European Extremely Large Telescope (E-ELT) will be able to image exoplanets that are too faint (because they have a low mass, and hence a small size or low effective temperature) for current direct imaging instruments. On the theoretical side, core accretion formation models predict a significant population of low-mass and/or cool planets at orbital distances of ~10–100 au. Aims. Evolutionary models predicting the planetary intrinsic luminosity as a function of time have traditionally concentrated on gas-dominated giant planets. We extend these cooling curves to Saturnian and Neptunian planets. Methods. We simulated the cooling of isolated core-dominated and gas giant planets with masses of 5 M⊕–2 M♃. The planets consist of a core made of iron, silicates, and ices surrounded by a H/He envelope, similar to the ice giants in the solar system. The luminosity includes the contribution from the cooling and contraction of the core and of the H/He envelope, as well as radiogenic decay. For the atmosphere we used grey, AMES-Cond, petitCODE, and HELIOS models. We considered solar and non-solar metallicities as well as cloud-free and cloudy atmospheres. The most important initial conditions, namely the core-to-envelope-mass ratio and the initial (i.e. post formation) luminosity are taken from planet formation simulations based on the core accretion paradigm. Results. We first compare our cooling curves for Uranus, Neptune, Jupiter, Saturn, GJ 436b, and a 5 M⊕ planet with a 1% H/He envelope with other evolutionary models. We then present the temporal evolution of planets with masses between 5 M⊕ and 2 M♃ in terms of their luminosity, effective temperature, radius, and entropy. We discuss the impact of different post formation entropies. For the different atmosphere types and initial conditions, magnitudes in various filter bands between 0.9 and 30 micrometer wavelength are provided. Conclusions. Using blackbody fluxes and non-grey spectra, we estimate the detectability of such planets with JWST. We found that a 20 (100) M⊕ planet can be detected with JWST in the background limit up to an age of about 10 (100) Myr with NIRCam and MIRI, respectively.
Transcatheter aortic valve replacement and cardiac conduction

ABSTRACT Introduction: Conduction abnormalities after transcatheter aortic valve replacement (TAVR) account for a high percentage of post-TAVR complications. Areas covered: The etiology of conduction abnormalities is closely tied to cardiac anatomy (length of membranous septum, degree of calcification, location of left bundle within the membranous septum), baseline conduction abnormalities (preprocedure right bundle branch block), and procedural variables (type of valve, depth of implant). Management of new high-grade AV block and new left bundle branch block varies by institution in the absence of consensus guidelines. Expert opinion: Authors describe the incidence, etiology, outcomes, and management of conduction abnormalities related to aortic stenosis and TAVR.
Constraining the physics of the early Universe

The established cosmological theory which describes the history of the Universe since shortly after the “Big Bang” until today is remarkably successful. Thanks to the increasing precision of available observational data, we are now able to considerably constrain the geometry and composition of the Universe - and to glimpse how these will evolve in the near future. However, this success comes at a price: one must assume the Universe “started” in a highly fine-tuned initial condition. Understanding what came before this is therefore one of the main goals of modern cosmology. This thesis attempts to further our understanding of the epoch before this initial condition in three different ways. Firstly, the concept of negative absolute temperatures (NAT) is introduced and its potential relevance for cosmology is investigated. In particular, it is shown that a Universe at a NAT should undergo a period of inflation - although it is unclear whether this would be consistent with current observations. Secondly, work is done on the topic of the evolution of networks of cosmic strings - topological defects which are expected to form in a broad class of phase transitions the Universe may have gone through. A model which takes into account the presence of small-scale structure in strings is used to address questions concerning the existence and stability of scaling regimes for these networks. Finally, it is investigated how future experiments might try to falsify a simple class of canonical single-field slow-roll inflation models by measuring the running and the running of the running of the spectral index of scalar perturbations.
Redefining bilingualism as a spectrum of experiences that differentially affects brain structure and function

Significance This study sheds new light on the neuroanatomical adaptations resulting from bilingual language exposure and use, providing crucial insights into untangling the variability of findings in the existing literature. Our results demonstrate that differences in bilingual language experiences confer a range of systematic outcomes in terms of brain/mind adaptations. In doing so, our findings strongly support a shift away from traditional designs with bilingual vs. monolingual comparisons and toward an approach of modeling the experiences within bilingualism that give rise to neurocognitive adaptations. Crucially, we maintain that experience-based factors should be accounted for in all future studies investigating the effects of bilingualism on the brain and cognition. Learning and using an additional language is shown to have an impact on the structure and function of the brain, including in regions involved in cognitive control and the connections between them. However, the available evidence remains variable in terms of the localization, extent, and trajectory of these effects. Variability likely stems from the fact that bilingualism has been routinely operationalized as a categorical variable (bilingual/monolingual), whereas it is a complex and dynamic experience with a number of potentially deterministic factors affecting neural plasticity. Here we present a study investigating the combined effects of experience-based factors (EBFs) in bilingual language use on brain structure and functional connectivity. EBFs include an array of measures of everyday usage of a second language in different types of immersive settings (e.g., amount of use in social settings). Analyses reveal specific adaptations in the brain, both structural and functional, correlated to individual EBFs and their combined effects. Taken together, the data show that the brain adapts to be maximally efficient in the processing and control of two languages, although modulated ultimately by individual language experience.
Grow Where You Thrive, or Where Only You Can Survive? An Analysis of Performance Curve Evolution in a Clade with Diverse Habitat Affinities

Performance curves are valuable tools for quantifying the fundamental niches of organisms and testing hypotheses about evolution, life-history trade-offs, and the drivers of variation in species’ distribution patterns. Here, we present a novel Bayesian method for characterizing performance curves that facilitates comparisons among species. We then use this model to quantify and compare the hydrological performance curves of 14 different taxa in the genus Lasthenia, an ecologically diverse clade of plants that collectively occupy a variety of habitats with unique hydrological features, including seasonally flooded wetlands called vernal pools. We conducted a growth chamber experiment to measure each taxon’s fitness across five hydrological treatments that ranged from severe drought to extended flooding, and we identified differences in hydrological performance curves that explain their associations with vernal pool and terrestrial habitats. Our analysis revealed that the distribution of vernal pool taxa in the field does not reflect their optimal hydrological environments: all taxa, regardless of habitat affinity, have highest fitness under similar hydrological conditions of saturated soil without submergence. We also found that a taxon’s relative position across flood gradients within vernal pools is best predicted by the height of its performance curve. These results demonstrate the utility of our approach for generating insights into when and how performance curves evolve among taxa as they diversify into distinct environments. To facilitate its use, the modeling framework has been developed into an R package.