Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-Based Distillation: Teaching What You Should Teach

In real teaching scenarios, an excellent teacher always teaches what he (or she) is good at but the student is not. This method gives the student the best assistance in making up for his (or her) weaknesses and becoming a good one overall. En-lightened by this, we introduce the approach to the knowledge distillation framework and propose a data-based distillation method named “Teaching what you Should Teach (TST)”. To be speciﬁc, TST contains a neural network-based data augmentation module with the priori bias, which can assist in ﬁnding what the teacher is good at while the student are not by learning magnitudes and probabilities to generate suitable samples. By training the data augmentation module and the generalized distillation paradigm in turn, a student model that has excellent generalization ability can be created. To verify the effectiveness of TST, we conducted extensive comparative experiments on object recognition (CIFAR-100 and ImageNet-1k), detection (MS-COCO), and segmentation (Cityscapes) tasks. As experimentally demonstrated, TST achieves state-of-the-art performance on almost all teacher-student pairs. Furthermore, we conduct intriguing studies of TST, including how to solve the performance degradation caused by the stronger teacher and what magnitudes and probabilities are needed for the distillation
New Approaches to 3D Vision

New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst traditional approaches to 3D vision in computer vision (SLAM: simultaneous localization and mapping), animal navigation (cognitive maps), and human vision (optimal cue integration) start from the assumption that the aim of 3D vision is to provide an accurate 3D model of the world, the new approaches to 3D vision explored in this issue challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models or no model at all. This issue also highlights the implications for artificial intelligence, autonomous vehicles, human perception in virtual and augmented reality, and the treatment of visual disorders, all of which are explored by individual articles. This article is part of a discussion meeting issue ‘New approaches to 3D vision’.
Temperature dependence of the impact ionization coefficients in GaAs, cubic SiC, and zinc-blende GaN

In this article we discuss the effect of temperature on the impact ionization coefficients in wide band-gap semiconductors and compare it to that of bulk GaAs. The impact ionization coefficients as a function of temperature are examined for three semiconductors: gallium arsenide, cubic phase silicon carbide, and zinc-blende phase gallium nitride. It is found that the magnitude of the phonon energy is principally responsible for changes in the impact ionization coefficients as a result of temperature change. While the energy band gap of a material does have a temperature dependence that directly affects the impact ionization transition rate, that change is much smaller than the relative change in the magnitude of the phonon-scattering rates in all of the materials studied here. The phonon energies are found to play a vital role in the magnitude of the change in the scattering rates as a function of temperature. Materials with relatively small phonon energies have phonon scattering rates that change conside.
Lack of significant seasonal association between serum 25(OH)D concentration, muscle mass and strength in postmenopausal women from the D-FINES longitudinal study

Abstract The aim of the present study was to assess the seasonal relationship between serum 25(OH)D concentration, lean mass and muscle strength. This was a secondary data analysis of a subgroup of 102 postmenopausal women participating in the 2006–2007 D-FINES (Vitamin D, Food Intake, Nutrition and Exposure to Sunlight in Southern England) study. The cohort was assessed as two age subgroups: <65 years (n=80) and ≥65 years (n=22). Outcome measures included lean mass (DXA), muscle strength (handgrip dynamometry) and serum 25(OH)D concentration (enzymeimmunoassay). Derived outcomes included appendicular skeletal muscle mass (ASM) and relative appendicular skeletal muscle index (RASM). Sarcopenia status was assessed using the European Working Group on Sarcopenia in Older People 2018 criteria. Non-parametric partial correlation using BMI as a covariate was used to evaluate the study aims. There were no statistically significant associations between total lean mass, ASM or RASM and 25(OH)D in any group at any season. There was a trend for handgrip strength to be positively associated with serum 25(OH)D concentration. There was a trend showing a higher prevalence of sarcopenia in women ≥65 years. Sarcopenia status appeared transient for five women. In conclusion, the present study found no significant association between vitamin D status and functional indicators of musculoskeletal health, which were additionally not affected by season.
Establishment of Streptococcus suis Biofilm Infection Model In Vivo and Comparative Analysis of Gene Expression Profiles between In Vivo and In Vitro Biofilms

Streptococcus suis is considered an important zoonotic pathogen, and persistent infection caused by biofilm is currently considered to be the reason why S. suis is difficult to control in swine. However, to date, a model of the biofilm of S. suis in vivo has not been successfully constructed. ABSTRACT Streptococcus suis is a zoonotic pathogen that continuously threatens animal husbandry and public health worldwide. Studies have shown that S. suis can cause persistent infection by forming biofilms. In this study, a model of S. suis biofilm-related infection was successfully constructed for the first time by simulating the natural infection of S. suis, and biofilm of S. suis in vivo was successfully observed in the lung tissue of infected pigs by a variety of detection methods. Subsequently, selective capture of transcribed sequences (SCOTS) was used to identify genes expressed by S. suis in vivo biofilms. Sixty-nine genes were captured in in vivo biofilms formed by S. suis for the first time by SCOTS; they were mainly involved in metabolism, cell replication, and division, transport, signal transduction, cell wall, etc. Genes related to S. suis in vitro biofilm formation were also identified by SCOTS and RNA sequencing. Approximately half of the genes captured by SCOTS in the in vivo and in vitro biofilms were found to be different. In summary, our study provides powerful clues for future exploration of the mechanisms of S. suis biofilm formation. IMPORTANCE Streptococcus suis is considered an important zoonotic pathogen, and persistent infection caused by biofilm is currently considered to be the reason why S. suis is difficult to control in swine. However, to date, a model of the biofilm of S. suis in vivo has not been successfully constructed. Here, we successfully detected biofilms of S. suis in vivo in lung tissues of piglets infected with S. suis. Selective capture of transcribed sequences and the transcriptome were used to obtain gene profiles of S. suis in vivo and in vitro biofilms, and the results showed large differences between them. Such data are of importance for future experimental studies exploring the mechanism of biofilm formation by S. suis in vivo.
Haze Exposure Changes the Skin Fungal Community and Promotes the Growth of Talaromyces Strains

Skin fungi play an important role in human health. Particulate matter (PM), the main haze pollutant, has been a public environmental threat. ABSTRACT Haze pollution has been a public health issue. The skin microbiota, as a component of the first line of defense, is disturbed by environmental pollutants, which may have an impact on human health. A total of 74 skin samples from healthy students were collected during haze and nonhaze days in spring and winter. Significant differences of skin fungal community composition between haze and nonhaze days were observed in female and male samples in spring and male samples in winter based on unweighted UniFrac distance analysis. Phylogenetic diversity whole-tree indices and observed features were significantly increased during haze days in male samples in winter compared to nonhaze days, but no significant difference was observed in other groups. Dothideomycetes, Capnodiales, Mycosphaerellaceae, etc. were significantly enriched during nonhaze days, whereas Trichocomaceae, Talaromyces, and Pezizaceae were significantly enriched during haze days. Thus, five Talaromyces strains were isolated, and an in vitro culture experiment revealed that the growth of representative Talaromyces strains was increased at high concentrations of particulate matter, confirming the sequencing results. Furthermore, during haze days, the fungal community assembly was better fitted to a niche-based assembly model than during nonhaze days. Talaromyces enriched during haze days deviated from the neutral assembly process. Our findings provided a comprehensive characterization of the skin fungal community during haze and nonhaze days and elucidated novel insights into how haze exposure influences the skin fungal community. IMPORTANCE Skin fungi play an important role in human health. Particulate matter (PM), the main haze pollutant, has been a public environmental threat. However, few studies have assessed the effects of air pollutants on skin fungi. Here, haze exposure influenced the diversity and composition of the skin fungal community. In an in vitro experiment, a high concentration of PM promoted the growth of Talaromyces strains. The fungal community assembly is better fitted to a niche-based assembly model during haze days. We anticipate that this study may provide new insights on the role of haze exposure disturbing the skin fungal community. It lays the groundwork for further clarifying the association between the changes of the skin fungal community and adverse health outcomes. Our study is the first to report the changes in the skin fungal community during haze and nonhaze days, which expands the understanding of the relationship between haze and skin fungi.
Emergence and Potential Extinction of Genetic Lineages of Human Metapneumovirus between 2005 and 2021

Human metapneumovirus (HMPV) is one of the major causative agents of human respiratory tract infections. Monitoring of virus evolution could aid toward the development of new antiviral treatments or vaccine designs. ABSTRACT Human metapneumovirus (HMPV) is one of the leading causes of respiratory illness (RI), primarily in infants. Worldwide, two genetic lineages (A and B) of HMPV are circulating that are antigenically distinct and can each be further divided into genetic sublineages. Surveillance combined with large-scale whole-genome sequencing studies of HMPV are scarce but would help to identify viral evolutionary dynamics. Here, we analyzed 130 whole HMPV genome sequences obtained from samples collected from individuals hospitalized with RI and partial fusion (n = 144) and attachment (n = 123) protein gene sequences obtained from samples collected from patients with RI visiting general practitioners between 2005 and 2021 in the Netherlands. Phylogenetic analyses demonstrated that HMPV continued to group in the four sublineages described in 2004 (A1, A2, B1, and B2). However, one sublineage (A1) was no longer detected in the Netherlands after 2006, while the others continued to evolve. No differences were observed in dominant (sub)lineages between samples obtained from patients with RI being hospitalized and those consulting general practitioners. In both populations, viruses of lineage A2 carrying a 180-nucleotide or 111-nucleotide duplication in the attachment protein gene became the most frequently detected genotypes. In the past, different names for the newly energing lineages have been proposed, demonstrating the need for a consistent naming convention. Here, criteria are proposed for the designation of new genetic lineages to aid in moving toward a systematic HMPV classification. IMPORTANCE Human metapneumovirus (HMPV) is one of the major causative agents of human respiratory tract infections. Monitoring of virus evolution could aid toward the development of new antiviral treatments or vaccine designs. Here, we studied HMPV evolution between 2005 and 2021, with viruses obtained from samples collected from hospitalized individuals and patients with respiratory infections consulting general practitioners. Phylogenetic analyses demonstrated that HMPV continued to group in the four previously described sublineages (A1, A2, B1, and B2). However, one sublineage (A1) was no longer detected after 2006, while the others continued to evolve. No differences were observed in dominant (sub)lineages between patients being hospitalized and those consulting general practitioners. In both populations, viruses of lineage A2 carrying a 180-nucleotide or 111-nucleotide duplication in the attachment protein gene became the most frequently detected genotypes. These data were used to propose criteria for the designation of new genetic lineages to aid toward a systematic HMPV classification.
Genome Sequence of a Heterocystous Diazotroph Isolated from a Trichodesmium Consortium from the North Pacific Subtropical Gyre

Diazotrophic cyanobacteria play a vital role in the nitrogen influx of the global marine ecosystem. In July 2010, colonies of Trichodesmium spp. were picked near Station ALOHA in the oligotrophic North Pacific Subtropical Gyre, and a novel heterocystous diazotroph (strain HetDA_MAG_MS3) belonging to the genus Rivularia was found living in close association; it was cultured and sequenced. ABSTRACT Diazotrophic cyanobacteria play a vital role in the nitrogen influx of the global marine ecosystem. In July 2010, colonies of Trichodesmium spp. were picked near Station ALOHA in the oligotrophic North Pacific Subtropical Gyre, and a novel heterocystous diazotroph (strain HetDA_MAG_MS3) belonging to the genus Rivularia was found living in close association; it was cultured and sequenced.
On H. Weyl’s character formula

Introduction. Many years ago, H. Weyl [4] gave a general formula for the characters of a compact Lie group, or what amounts to the same thing, of a complex semi-simple Lie group. His proof leaned on a fundamental integration formula and was analytical and topological. Later on an algebraic proof was supplied by H. Freudenthal [2], Quite recently, B. Kostant [3] gave a rather explicit formula for the multiplicity of a weight /x in an irreducible representation with maximal weight X. The purpose of the present note is a proof for the equivalence of Weyl's and Kostant's formulae; since our proof is very simple, the benefit of Kostant's paper is a new algebraic proof for Weyl's formula. I t goes without saying that [3] is of considerable independent interest for the other results it contains. As for acknowledgments, the author is greatly indebted to the French Navy which gave him opportunity of profitable inspiration during his journey with the paratroops in Algeria.
Some factors affecting the remote sensing of rain by polarization diversity radar in the 3- to 35-GHz frequency range

Polarization diversity radars, both CDR and ZDR, are currently being used to investigate precipitation environments for meteorological and radio science purposes. Various frequencies are being used. This paper investigates the use of such radars for the remote sensing of rain, including the dependency of the various measurements on frequency, as well as on various model assumptions about the rain, such as drop shape, drop size distribution, water temperature, and canting angle distribution. The effect of rain occurring on the path between the radar and the rain target is also considered, and at S band propagation effects are clearly worse for CDR than for ZDR radars. It is clear that the use of frequencies above about 20 GHz for the purpose of rain measurement is very problematical.
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration

Continuous Integration (CI) is a popular practice in modern software engineering. Unfortunately, it is also a high-cost practice—Google and Mozilla estimate their CI systems in millions of dollars. To reduce the computational cost in CI, researchers developed approaches to selectively execute builds or tests that are likely to fail (and skip those likely to pass). In this article, we present a novel hybrid technique (HybridCISave) to improve on the limitations of existing techniques: to provide higher cost savings and higher safety. To provide higher cost savings, HybridCISave combines techniques to predict and skip executions of both full builds that are predicted to pass and partial ones (only the tests in them predicted to pass). To provide higher safety, HybridCISave combines the predictions of multiple techniques to obtain stronger certainty before it decides to skip a build or test. We evaluated HybridCISave by comparing its effectiveness with the existing build selection techniques over 100 projects and found that it provided higher cost savings at the highest safety. We also evaluated each design decision in HybridCISave and found that skipping both full and partial builds increased its cost savings and that combining multiple test selection techniques made it safer.
Businessperson or Technologist: Stock Market Reaction to the Alignment between CIO Background and Firm Strategy

ABSTRACT Chief Information Officers (CIOs) influence their firm’s strategy implementation and facilitate improved firm performance by effectively managing information technology (IT) resources. However, it remains unclear how firms select CIOs and how the stock market perceives the selection. We posit that firms’ preferences regarding CIO background (business acumen versus technical expertise) depend on their strategic positioning. Also, we argue that the stock market pays attention to the alignment between the appointed CIO’s background and firm strategy. To empirically examine this, we employ factor analysis on a sample of 1,287 CIOs with detailed biographic information on education, work experience, and certification to identify the CIO’s background. Utilizing these measures, we examine whether the appointed CIO’s background depends on the appointing firm’s strategic positioning in a normative model. Then, we use a predictive model to test the stock market reactions to CIO appointments. We document that cost-leadership-leaning firms are more likely to appoint a CIO with a stronger business-oriented background, while differentiation-leaning firms are more likely to appoint a CIO with a stronger technical-oriented background. Interestingly, firms with misaligned CIO appointments suffer a negative stock market reaction. We discuss theoretical and practical implications of selecting aligned versus misaligned CIOs.
How Do Shared IT Applications Influence Agility? Theory and Evidence of a Convex Relationship

ABSTRACT Organizations increasingly depend on information technology (IT) applications (apps) for competitive positioning. Governance of IT apps presents a unique set of challenges, particularly as organizations turn to shared IT apps across business units (IT apps relatedness). Shared IT apps can foment IT misalignment within business units, while also creating opportunities for learning-related synergies. This study develops the idea that an organization’s efforts to increase IT apps relatedness influence business unit agility and that this relationship is U-shaped. Analysis of data from 120 organizations provides support for a convex, U‐shaped, relationship. Furthermore, the U-shaped curve flattens under conditions of increased market uncertainty. This relationship highlights the need for IT governance to balance tension between business unit interests that seek autonomy over certain IT app choices and corporate interests that push for synergies based on shared IT apps. Failure to create this balance could impede business unit agility and hurt the broader organization.
We Are All in This Together, or Are We? Job Strain and Coping in the Context of an E-Healthcare System Implementation

ABSTRACT Doctors and paraprofessionals operate in stressful environments that jeopardize their well-being and quality of care. E-healthcare systems have been promoted by government initiatives (e.g., HITECH act) to support healthcare services. Recent evidence suggests, however, that these systems contribute to job strain. Drawing on findings from a qualitative study and proximity and homophily theories, we integrate the healthcare context to develop and test a research model of friendship network ties among and between doctors and paraprofessionals as a coping mechanism for alleviating job strain. We test our model in a year-long field study in a hospital that implemented a new e-healthcare system, with two waves of data collected from 152 doctors and 731 paraprofessionals. Our findings move beyond the classical view of friendship as a conduit of coping by suggesting that the source of friendship network ties could reduce or aggravate strain as doctors and paraprofessionals continue to interact with the system over time.
Statistical hydrodynamics of the thermohaline circulation in a two-dimensional model

We study a simple conceptual model of the climate-mean ocean thermohaline circulation, the two-dimensional Boussinesq model of Thual and McWilliams, generalized to include a random surface salinity flux, representing synoptic variability in freshwater sources. In a small aspect ratio limit previously considered by Cessi and Young for the deterministic model, we show that the dynamics reduces to a stochastically-driven one-dimensional Cahn’Hilliard equation (with non-conserving boundary conditions). If the random force is space’time white noise, a non-linear fluctuation— dissipation relation permits an exact determination of the statistical equilibrium distribution. The effect of the spatial distribution of the systematic (non-random) salinity flux on the stability of multiple equilibria is studied in detail. We determine a flux distribution for which the model caricatures the circulation states in the Atlantic during the last glacial period. For this case, we determine the multimodal equilibrium distributions associated to the multiple states of circulation. We also study the dynamics of random state-transitions by a simulation of the stochastic Cahn’Hilliard equation. Finally, with a weak, periodic modulation in the freshwater forcing of the correct frequency, the model is shown to exhibit stochastic resonance, i.e. the transitions synchronize with the periodic force. The stochastic resonant frequency is calculated analytically in the model by the Langer formula for the mean residence time and compared with numerical solutions.