Miracle-dz/UniFAR-FTUs huggingface dataset:
Costs and benefits of cold acclimation in field-released Drosophila

One way animals can counter the effects of climatic extremes is via physiological acclimation, but acclimating to one extreme might decrease performance under different conditions. Here, we use field releases of Drosophila melanogaster on two continents across a range of temperatures to test for costs and benefits of developmental or adult cold acclimation. Both types of cold acclimation had enormous benefits at low temperatures in the field; in the coldest releases only cold-acclimated flies were able to find a resource. However, this advantage came at a huge cost; flies that had not been cold-acclimated were up to 36 times more likely to find food than the cold-acclimated flies when temperatures were warm. Such costs and strong benefits were not evident in laboratory tests where we found no reduction in heat survival of the cold-acclimated flies. Field release studies, therefore, reveal costs of cold acclimation that standard laboratory assays do not detect. Thus, although physiological acclimation may dramatically improve fitness over a narrow set of thermal conditions, it may have the opposite effect once conditions extend outside this range, an increasingly likely scenario as temperature variability increases under global climate change.
Unique Extragalactic Sightlines: Dissecting the Extreme Circumstellar Environment of Two Gamma-Ray Burst Progenitors with Echelle Spectroscopy

High-resolution absorption line spectroscopy of the afterglows for γ-ray bursts GRB 051111 (zGRB = 1.54948) and GRB 050730 (zGRB = 3.96855) have unveiled extreme physical conditions in the circumburst environment that are rarely seen even in the ISM of the Milky Way. A detailed study of fine-structure transitions of Fe and Si and atomic transitions of Mg and Fe yields strong constraints on the density and temperature of the gas, as well as on the ambient radiation field. We derive, based on the large abundances of Si and Fe in the excited states, that the electron density ne exceeds 10 3 cm and argue that nH > 10 5 cm. In addition, the excited states are populated according to a Boltzmann distribution with excitation temperature TEx ∼ 2000 − 6000 K. For GRB 051111, our analysis of the neutral species and excited ions identifies two spatially distinct gaseous clouds that are responsible for producing the absorption spectrum: one that gives rise to the observed fine structure transitions and the other that gives rise to the majority of the observed resonance transitions. The detection of strong Mg absorption indicates the the majority of the gas associated with the ground-state is located far from the GRB (r > 100pc; likely outside the star-forming region hosting the GRB) otherwise it would have been ionized by the afterglow. In contrast, we argue the excited ions arise in a circumstellar medium local to the progenitor, r < 10 pc. Our study therefore represents the first analysis of the kinematics, chemical abundances, and gas densities in a circumburst environment. The low velocity spread of the fine-structure transitions suggest the high density environment is, as we surmise, due to the interaction of a Wolf-Rayet wind with the ISM of the star-forming region. In this context, we draw comparisons between the properties of the circumburst environment with observations of gas in the vicinity of η Carinae. Subject headings: gamma-ray bursts
Assessment of Genetic Heterogeneity in Structured Plant Populations Using Multivariate Whole-Genome Regression Models

Plant breeding populations exhibit varying levels of structure and admixture; these features are likely to induce heterogeneity of marker effects across subpopulations. Traditionally, structure has been dealt with as a potential confounder, and various methods exist to “correct” for population stratification. However, these methods induce a mean correction that does not account for heterogeneity of marker effects. The animal breeding literature offers a few recent studies that consider modeling genetic heterogeneity in multibreed data, using multivariate models. However, these methods have received little attention in plant breeding where population structure can have different forms. In this article we address the problem of analyzing data from heterogeneous plant breeding populations, using three approaches: (a) a model that ignores population structure [A-genome-based best linear unbiased prediction (A-GBLUP)], (b) a stratified (i.e., within-group) analysis (W-GBLUP), and (c) a multivariate approach that uses multigroup data and accounts for heterogeneity (MG-GBLUP). The performance of the three models was assessed on three different data sets: a diversity panel of rice (Oryza sativa), a maize (Zea mays L.) half-sib panel, and a wheat (Triticum aestivum L.) data set that originated from plant breeding programs. The estimated genomic correlations between subpopulations varied from null to moderate, depending on the genetic distance between subpopulations and traits. Our assessment of prediction accuracy features cases where ignoring population structure leads to a parsimonious more powerful model as well as others where the multivariate and stratified approaches have higher predictive power. In general, the multivariate approach appeared slightly more robust than either the A- or the W-GBLUP.
Quality of cardiopulmonary resuscitation during out-of-hospital cardiac arrest.

CONTEXT Cardiopulmonary resuscitation (CPR) guidelines recommend target values for compressions, ventilations, and CPR-free intervals allowed for rhythm analysis and defibrillation. There is little information on adherence to these guidelines during advanced cardiac life support in the field. OBJECTIVE To measure the quality of out-of-hospital CPR performed by ambulance personnel, as measured by adherence to CPR guidelines. DESIGN AND SETTING Case series of 176 adult patients with out-of-hospital cardiac arrest treated by paramedics and nurse anesthetists in Stockholm, Sweden, London, England, and Akershus, Norway, between March 2002 and October 2003. The defibrillators recorded chest compressions via a sternal pad fitted with an accelerometer and ventilations by changes in thoracic impedance between the defibrillator pads, in addition to standard event and electrocardiographic recordings. MAIN OUTCOME MEASURE Adherence to international guidelines for CPR. RESULTS Chest compressions were not given 48% (95% CI, 45%-51%) of the time without spontaneous circulation; this percentage was 38% (95% CI, 36%-41%) when subtracting the time necessary for electrocardiographic analysis and defibrillation. Combining these data with a mean compression rate of 121/min (95% CI, 118-124/min) when compressions were given resulted in a mean compression rate of 64/min (95% CI, 61-67/min). Mean compression depth was 34 mm (95% CI, 33-35 mm), 28% (95% CI, 24%-32%) of the compressions had a depth of 38 mm to 51 mm (guidelines recommendation), and the compression part of the duty cycle was 42% (95% CI, 41%-42%). A mean of 11 (95% CI, 11-12) ventilations were given per minute. Sixty-one patients (35%) had return of spontaneous circulation, and 5 of 6 patients discharged alive from the hospital had normal neurological outcomes. CONCLUSIONS In this study of CPR during out-of-hospital cardiac arrest, chest compressions were not delivered half of the time, and most compressions were too shallow. Electrocardiographic analysis and defibrillation accounted for only small parts of intervals without chest compressions.
Estimating peer effects on health in social networks : A response to

In July of 2007, we published a paper in the New England Journal of Medicine that used dynamic data over 32 years from the Framingham Heart Study Social Network (FHS-Net) to study the conditions under which obesity might spread from person to person (Christakis and Fowler, 2007, hereafter, CF). We found that obese persons formed clusters in the network at all time points and that these clusters extended to three degrees of separation (e.g., to a person’s friend’s friend’s friend). Moreover, statistical analyses suggested that the clusters were not solely attributable to the selective formation of social ties among obese persons. A person’s chances of becoming obese increased if he or she had a friend who became obese in a given time period. Our analyses were restricted to adults, so a natural question to ask is whether or not the results would generalize to a population of adolescents. The existence of social norms regarding weight in both adults and adolescents should not be surprising, (Chang and Christakis, 2003) but, of course, causal inference in dyads, let alone in broader social networks, is difficult (Manski, 1993). These issues are addressed by two papers in this issue, “Is Obesity Contagious? Social Networks versus Environmental Factors in the Obesity Epidemic,” by Ethan Cohen-Cole and Jason Fletcher (hereafter CCF) and “Peer Effects in Adolescent Overweight,” by Justin Trogdon, James Nonnemaker, and Joanne Pais (hereafter TNP), and by a third working paper “Identifying Endogenous Peer Effects in the Spread of Obesity” by Timothy J. Halliday and Sally Kwak (Halliday and Kwak, 2007)(hereafter HK). All three of these papers analyze the same dataset and population, the National Longitudinal Study of Adolescent Health (Add Health), albeit with different methods and assumptions. Unlike the FHS-Net, which followed adults over a 32-year period (average age 38 in 1971), Add Health followed adolescents over a 7-year period (average age 16 in 1995). All three sets of authors take the possibility of peer effects seriously, advancing the study of this important area. HK summarize their results by noting that they are able to replicate the pattern of results in our study, although their results are sensitive to specification of the dependent variable. If weight is characterized by a dichotomous variable indicating overweight (BMI > 25), then an association between friends is significant, but the association in the continuous measure of BMI is not. Similarly, TNP use a variety of econometric strategies to conclude that there are peer effects for obesity in the Add Health sample, especially among females and among adolescents with high BMI. For example, they use an
A joint image quality assessment method based on global phase coherence and structural similarity

Structural similarity (SSIM) is one image quality assessment metric that focuses on the statistic information in the spatial domain. It cannot reflect the small details of the contrast and the changing of texture, which can be perceived by human visual system, because SSIM cannot detect the distortion image with aliasing and blur effectively. This paper proposes a new image quality assessment metric called structural similarity based on global phase coherence (GPC-SSIM), which considers both the structural information in the spatial domain and the phase characteristics in the frequency domain. Through experiments, as the level of blur and aliasing of an image gets more and more serious, the dynamic range of the results obtained through SSIM is 0.6~1, while the ones through the new assessment index GPC_SSIM is 0~1. Thus GPC-SSIM is more sensitive to the blur and aliasing of image and can give more accurate assessment results for various kinds of degraded images than SSIM.
Infinite Lorentz boost along the M-theory circle and non-asymptotically flat solutions in supergravities

Certain non-asymptotically flat but supersymmetric classical solution of the type IIA supergravity can be interpreted as the infinitely-boosted version of the D-particle solution along the M-theory circle. By a chain of T-dual transformations, this analysis also applies to yield non-asymptotically flat solutions from the asymptotically flat and (non)-extremal solutions with intersecting D-strings and D five-branes of the type IIB supergravity compactified on a five-torus. Under S-duality, the non-asymptotically flat solutions in this context can in particular be used to describe the (1+1)-dimensional CGHS type black holes via spontaneous compactifications.
Long-Term Vacancy in the United States

Because housing is durable, the housing supply is slow to adapt to declines in demand. This paper uses long-term vacancy--defined as nonseasonal housing units that have been vacant for an unusually long period of time--to quantify the extent of excess supply in the housing market. I find that long-term vacancy is less than 2 percent of all nonseasonal housing units and accounts for only one quarter of the aggregate increase in nonseasonal vacancy from 2001 to 2011. Thus, at the national level, excess supply is considerably less extensive than indicated by traditional measures of vacancy. However, the stock of long-term vacant housing is concentrated in a small number of neighborhoods that do have appreciably high long-term vacancy rates. Some of these neighborhoods have characteristics suggesting that excess supply is related to overbuilding during the housing boom, while others have characteristics that are symptomatic of persistently weak housing demand.
Model structure and reliable inference

The world we live in is a very structured place Matter does not it about in space and time in a completely unorganized fashion but rather is organized by the physical forces biological processes social interactions and so on which exist in our world McMahon Thompson It is this structure or regularity which makes it possible for us to make reliable inferences about our surroundings from the signals taken in from various senses Marr Witkin and Tenenbaum In other words regularities in the world make sense data reliably informative about the world we move around in But what is the nature of these regularities and how can they be used for the purposes of perception
The Matrix Balun—A Transistor-Based Module for Broadband Applications

In this paper the analysis and design of a new active balun with very broadband performance, the matrix balun, are reported. Measured results show a common mode rejection ratio, CMRR, larger than 15 dB between 4 and 42 GHz while exhibiting 2 dB single-ended gain with a ripple of 1 dB. The balun was realized in a 0.15 mum GaAs mHEMT process. It occupies a chip area of 0.63 mm2 and consumes a dc power of 20 mW. The same matrix balun circuit may also be biased for amplification and used as a matrix amplifier. The circuit then exhibits 10.5 dB gain up to 63 GHz with 1 dB ripple above 5.5 GHz and a power consumption of 67 mW.
Diversity of the Brain Dystrophin-Glycoprotein Complex

Duchenne muscular dystrophy (DMD), the most common inherited neuromuscular disorder, is characterized by progressive muscle wasting and weakness. One third of Duchenne patients suffer a moderate to severe, nonprogressive form of mental retardation. Mutations in the DMD gene are thought to be responsible, with the shorter isoforms of dystrophin implicated in its molecular brain pathogenesis. It is becoming clear that region-specific variations in dystrophin isoforms delegate the composition of the dystrophin-glycoprotein complex in brain, and hence, the function of the specific membrane assembly. Here we summarize the recent advances in the understanding of brain dystrophin, dystrophin-related proteins and dystrophin-associated proteins.
Ankle-dorsiflexion range of motion and landing biomechanics.

CONTEXT A smaller amount of ankle-dorsiflexion displacement during landing is associated with less knee-flexion displacement and greater ground reaction forces, and greater ground reaction forces are associated with greater knee-valgus displacement. Additionally, restricted dorsiflexion range of motion (ROM) is associated with greater knee-valgus displacement during landing and squatting tasks. Because large ground reaction forces and valgus displacement and limited knee-flexion displacement during landing are anterior cruciate ligament (ACL) injury risk factors, dorsiflexion ROM restrictions may be associated with a greater risk of ACL injury. However, it is unclear whether clinical measures of dorsiflexion ROM are associated with landing biomechanics. OBJECTIVE To evaluate relationships between dorsiflexion ROM and landing biomechanics. DESIGN Descriptive laboratory study. SETTING Research laboratory. PATIENTS OR OTHER PARTICIPANTS Thirty-five healthy, physically active volunteers. INTERVENTION(S) Passive dorsiflexion ROM was assessed under extended-knee and flexed-knee conditions. Landing biomechanics were assessed via an optical motion-capture system interfaced with a force plate. MAIN OUTCOME MEASURE(S) Dorsiflexion ROM was measured in degrees using goniometry. Knee-flexion and knee-valgus displacements and vertical and posterior ground reaction forces were calculated during the landing task. Simple correlations were used to evaluate relationships between dorsiflexion ROM and each biomechanical variable. RESULTS Significant correlations were noted between extended-knee dorsiflexion ROM and knee-flexion displacement (r = 0.464, P = .029) and vertical (r = -0.411, P = .014) and posterior (r = -0.412, P = .014) ground reaction forces. All correlations for flexed-knee dorsiflexion ROM and knee-valgus displacement were nonsignificant. CONCLUSIONS Greater dorsiflexion ROM was associated with greater knee-flexion displacement and smaller ground reaction forces during landing, thus inducing a landing posture consistent with reduced ACL injury risk and limiting the forces the lower extremity must absorb. These findings suggest that clinical techniques to increase plantar-flexor extensibility and dorsiflexion ROM may be important additions to ACL injury-prevention programs.
Timing errors in two children with suspected childhood apraxia of speech (sCAS) during speech and music‐related tasks

Impaired speech prosody has been identified as a critical feature of suspected childhood apraxia of speech (sCAS). Lexical stress productions of children with sCAS have been characterized as ‘excessive/equal/misplaced’. This investigation examines two potential explanations of this particular deficit, articulatory difficulty and impaired intrinsic timing. Two children with a diagnosis of sCAS (ages 4 years, 3 months and 9 years, 5 months) and two age‐matched controls were observed during three speech and three music tasks. Acoustic analysis revealed that in all tasks, the performance of the controls was more accurate than that of the children with sCAS. Timing structures and accuracy are discussed with respect to diagnostic status, age, speech and music tasks, and timing unit size.
Antifungal Potential of Extracellular Metabolites Produced by Streptomyces hygroscopicus against Phytopathogenic Fungi

Indigenous actinomycetes isolated from rhizosphere soils were assessed for in vitro antagonism against Colletotrichum gloeosporioides and Sclerotium rolfsii. A potent antagonist against both plant pathogenic fungi, designated SRA14, was selected and identified as Streptomyces hygroscopicus. The strain SRA14 highly produced extracellular chitinase and β-1,3-glucanase during the exponential and late exponential phases, respectively. Culture filtrates collected from the exponential and stationary phases inhibited the growth of both the fungi tested, indicating that growth suppression was due to extracellular antifungal metabolites present in culture filtrates. The percentage of growth inhibition by the stationary culture filtrate was significantly higher than that of exponential culture filtrate. Morphological changes such as hyphal swelling and abnormal shapes were observed in fungi grown on potato dextrose agar that contained the culture filtrates. However, the antifungal activity of exponential culture filtrates against both the experimental fungi was significantly reduced after boiling or treatment with proteinase K. There was no significant decrease in the percentage of fungal growth inhibition by the stationary culture filtrate that was treated as above. These data indicated that the antifungal potential of the exponential culture filtrate was mainly due to the presence of extracellular chitinase enzyme, whereas the antifungal activity of the stationary culture filtrate involved the action of unknown thermostable antifungal compound(s).
Saliva Liquid Biopsy for Point-of-Care Applications

Saliva is a non-invasive biofluid, which is easy to collect, transport, and store. Because of its accessibility and connection to systemic diseases, saliva is one of the best candidates for the advancement of point-of-care medicine, where individuals are able to easily monitor their health status by using portable convenient tools such as smartphones. There are a variety of scenarios with which saliva can be used: studies have been conducted on using saliva to measure stress hormones, enzyme levels, developmental disease biomarkers, and even cancer mutations. If validated biomarkers were combined with high-quality detection tools, saliva would open up a new frontier in high-quality healthcare, allowing physicians and patients to work together for real-time health monitoring and high-impact personalized preventative medicine. One of the most exciting emerging frontiers of saliva is liquid biopsy, which is a non-invasive means to assess the presence and characteristics of cancer in a patient. This article will review current basic knowledge of biomarkers, review their relation to different diseases and conditions, and explore liquid biopsy for point-of-care applications.
Mass communication in Japan

"Mass Communication in Japan" offers a rare inside look at mass media in an information society intimately related to and infinitely different from our own. Anne Cooper-Chen's overview of Japan's mass media reaches from its origins and functions to its current status and future prospects. She profiles segments of the industry: newspapers, news agencies, magazines and comics, broadcasting, advertising, and public relations. Cooper-Chen also examines such cross-media issues as law and regulations, journalism education and training, ethical crises, media images of women, minority/immigrant media, broadcast satellites and cultural imperialism.
Molecular toxicity of cerium oxide nanoparticles to the freshwater alga Chlamydomonas reinhardtii is associated with supra-environmental exposure concentrations

Abstract Ceria nanoparticles (NPs) are widely used as fuel catalysts and consequently are likely to enter the environment. Their potential impacts on. biota at environmentally relevant concentrations, including uptake and toxicity, remain to be elucidated and quantitative data on which to assess risk are sparse. Therefore, a definitive assessment of the molecular and phenotypic effects of ceria NPs was undertaken, using well-characterised mono-dispersed NPs as their toxicity is likely to be higher, enabling a conservative hazard assessment. Unbiased transcriptomics and metabolomics approaches were used to investigate the potential toxicity of tightly constrained 4–5 nm ceria NPs to the unicellular green alga, Chlamydomonas reinhardtii, a sentinel freshwater species. A wide range of exposure concentrations were investigated from predicted environmental levels, to support hazard assessment, to supra-environmental levels to provide insight into molecular toxicity pathways. Ceria NPs were internalised into intracellular vesicles within C. reinhardtii, yet caused no significant effect on algal growth at any exposure concentration. Molecular perturbations were only detected at supra-environmental ceria NP-concentrations, primarily down-regulation of photosynthesis and carbon fixation with associated effects on energy metabolism. For acute exposures to small mono-dispersed particles, it can be concluded there should be little concern regarding their dispersal into the environment for this trophic level.