Miracle-dz/UniFAR-FTUs huggingface dataset:
A new imaging technology based on Scattering Compton X-ray Microscopy

We describe a feasible implementation of a cellular microscope based on Compton X-ray scattering. The device, consisting largely of a 25 cm-thick sensitive volume filled with xenon at atmospheric pressure, forms photoelectron images by resorting to the electroluminescence produced in a custom multi-hole acrylic structure. Photon-by-photon counting can be achieved by processing the resulting images, taken in a continuous readout mode. The concept is amenable to permanent on-site 4π-coverage stations, but can be made portable at an acceptable performance compromise, targeting a nearly 2π-coverage instead. Based on Geant4 simulations, and a realistic detector design and response, we show that photon rates up to around 1011 ph/s on-sample (5 μm water-equivalent cell) can be processed, limited by the spatial diffusion of the photoelectrons in the gas. Following the Rose criterion and assuming the dose partitioning theorem, such a detector would allow obtaining 3d images of 5 μm unstained cells in their native environment in about 20 h, with a resolution below 40 nm.
Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates

Stellar spectral classification is a fundamental tool of modern astronomy, providing insight into physical characteristics such as effective temperature, surface gravity, and metallicity. Accurate and fast spectral typing is an integral need for large all-sky spectroscopic surveys like the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-Object Fiber Spectroscopic Telescope. Here, we present the next version of PyHammer, a stellar spectral classification software that uses optical spectral templates and spectral line index measurements. PyHammer v2.0 extends the classification power to include dwarf carbon stars, DA white dwarf stars, and also double-lined spectroscopic binaries (SB2). This release also includes a new empirical library of luminosity-normalized spectra that can be used to flux calibrate observed spectra or to create synthetic SB2 spectra. We have generated physically reasonable SB2 combinations as templates, adding the ability to spectrally type SB2s to PyHammer. We test classification success rates on SB2 spectra, generated from the SDSS, across a wide range of spectral types and signal-to-noise ratios. Within the defined range of pairings described, more than 95% of SB2s are correctly classified.
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems

Learning classifier systems (LCSs) originated from cognitive-science research but migrated such that LCS became powerful classification techniques. Modern LCSs can be used to extract building blocks of knowledge to solve more difficult problems in the same or a related domain. Recent works on LCSs showed that the knowledge reuse through the adoption of Code Fragments, GP-like tree-based programs, into LCSs could provide advances in scaling. However, since solving hard problems often requires constructing high-level building blocks, which also results in an intractable search space, a limit of scaling will eventually be reached. Inspired by human problem-solving abilities, XCSCF* can reuse learned knowledge and learned functionality to scale to complex problems by transferring them from simpler problems using layered learning. However, this method was unrefined and suited to only the Multiplexer problem domain. In this paper, we propose improvements to XCSCF* to enable it to be robust across multiple problem domains. This is demonstrated on the benchmarks Multiplexer, Carry-one, Majority-on, and Even-parity domains. The required base axioms necessary for learning are proposed, methods for transfer learning in LCSs developed and learning recast as a decomposition into a series of subordinate problems. Results show that from a conventional tabula rasa, with only a vague notion of what subordinate problems might be relevant, it is possible to capture the general logic behind the tested domains, so the advanced system is capable of solving any individual n-bit Multiplexer, n-bit Carry-one, n-bit Majority-on, or n-bit Even-parity problem.
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

We aim at solving the problem of predicting people's ideology, or political tendency. We estimate it by using Twitter data, and formalize it as a classification problem. Ideology-detection has long been a challenging yet important problem. Certain groups, such as the policy makers, rely on it to make wise decisions. Back in the old days when labor-intensive survey-studies were needed to collect public opinions, analyzing ordinary citizens' political tendencies was uneasy. The rise of social medias, such as Twitter, has enabled us to gather ordinary citizen's data easily. However, the incompleteness of the labels and the features in social network datasets is tricky, not to mention the enormous data size and the heterogeneousity. The data differ dramatically from many commonly-used datasets, thus brings unique challenges. In our work, first we built our own datasets from Twitter. Next, we proposed TIMME, a multi-task multi-relational embedding model, that works efficiently on sparsely-labeled heterogeneous real-world dataset. It could also handle the incompleteness of the input features. Experimental results showed that TIMME is overall better than the state-of-the-art models for ideology detection on Twitter. Our findings include: links can lead to good classification outcomes without text; conservative voice is under-represented on Twitter; follow is the most important relation to predict ideology; retweet and mention enhance a higher chance of like, etc. Last but not least, TIMME could be extended to other datasets and tasks in theory.
INVOLVEMENT IN HOMEWORK THROUGHOUT THE GRADE LEVELS IN SECONDARY EDUCATION

Homework is one of those topics that have been constantly updated within the educational field. Not only is it an issue that has been debated permanently in different educational sectors, but opinions and attitudes were always very changing and polarized. It is somewhat paradoxical that while the relevance of homework increases as students’ progress through the educational system, their involvement in homework tends to decrease. Thus, the present investigation tries to provide reliable information about changes in students' involvement in homework, as throughout the grades of Secondary Education. In addition, it is intended to know to what extent such changes relate to motivational and affective variables related to homework (intrinsic motivation, interest, perceived usefulness and anxiety) of the students themselves. A total of 899 students from 14 schools from three provinces in northern Spain participated in the study, whose ages range from 12 to 16. The data were analysed in two stages. The first stage was a multivariate analysis (MANCOVA) examining the relationship between the grade level (independent variable) and the three variables associated with involvement in homework (dependent variables). Prior performance and gender were introduced as covariables (for the purposes of statistical control). In the second stage, new covariables were added to the previous design, namely intrinsic motivation, interest, perceived usefulness and anxiety regarding homework. The results of this research indicate that, as the grade progresses, the involvement of students in homework gets worse: they do less homework, dedicate less time and use worse this time spent on homework because they do not understand what their purpose is. In addition, the girls spend more time doing homework despite the fact that, according to the results obtained in the present study, homework time management in girls is worse than boys.
Streamflow Reductions and Habitat Drying Affect Growth, Survival, and Recruitment of Brassy Minnow across a Great Plains Riverscape

Abstract Flow alterations caused by reservoir storage, groundwater pumping, diversions, and drought are widespread in North American Great Plains streams and have altered and fragmented habitats and reduced native fish biodiversity. Early life stages of fish are particularly sensitive to altered flow regimes, and reduced growth and survival may negatively affect the persistence of native species and assemblages. We investigated how growth and survival of brassy minnow Hybognathus hankinsoni larvae in the Arikaree River, Colorado, varied among three 6.4-km river segments that differed in hydrology and how climate influenced drying rates of spawning and rearing habitats in these segments over 3 years. We found that brassy minnow spawned in backwater habitats within a discrete period from mid-April to late May, based on otolith increment analysis. The timing of spawning and growth of larvae were influenced by climate and the hydrologic context of the river segment. Brassy minnow spawned 2 weeks earlier under.
Sharing natural resources: mountain gorillas and people in the Parc National des Volcans, Rwanda

The compatibility of natural resource use by people and mountain gorillas (Gorilla beringei beringei) within the Parc National des Volcans was studied. The distribution of gorillas was modelled using a Maximum Entropy algorithm. Biophysical predictor variables were trained with daily GPS locations of gorillas during 2006. Elevation, as a climate surrogate, was the best predictor (58%) of the occurrence of gorillas. The mid-altitudes (2500–3500 m a.s.l.) contained the bulk of the gorilla groups. Incoming solar radiation, as proxy for comfortable nesting sites, was the second best predictor (17%). Vegetation types, as foliage provider, (13%) and slope steepness for providing security (12%) were contributing predictors. The modelled and actual gorilla distributions were together overlaid with people’s resource use in the park. Both people and gorillas were congregated in the areas identified as most suitable for gorillas. However, within these areas spatial segregation was found between human natural resource-users and gorillas. Therefore, the number of gorillas is likely to be limited by the human natural resource use within the park. A perimeter fence, the introduction of communitybased natural resource management, and a buffer zone are discussed as short-, medium- and long-term mitigation
RNAi of AGAMOUS genes in sweetgum alters reproductive organ identity and decreases fruit persistence

Abstract Sweetgums (Liquidambar), members of the family Altingiaceae (Altingiales), have inflorescences and floral organs that are distinctive in structure compared with other angiosperms in which the roles of floral homeotic genes have been studied. To begin to understand the role of AGAMOUS (AG)—a floral homeotic gene that has a major role in stamen and carpel development—in development of the monosexual flowers of sweetgum, we used RNAi to reduce the expression of two members of the AG subfamily. Because AG suppression should induce floral sterility, RNAi might also provide a tool to mitigate the risks of invasiveness—and to reduce the production of its nuisance fruits or allergenic pollen—when sweetgum is used as an exotic shade or forest tree. We tested 33 independent transgenic events and non‐transgenic controls during 10 years in the field. The RNAi‐AG sweetgum trees maintained normal growth, phenology, and vivid fall coloration during the 10 years of study, but 8 insertion events had highly modified inflorescence and floral morphology. The modified flowers had anthers and carpels that were converted to flat leaf‐like structures lacking pollen grains and ovules, respectively. The female inflorescences developed into dry papery structures that failed to produce seeds. These infructescences were smaller than control infructescences, and lost a greater percentage of biomass in a controlled decay assay. RNAi against AG genes was highly effective at impairing fertility and modifying reproductive development without significant vegetative effects in sweetgum and gave phenotypes distinct from, but similar to, that of AG loss of function in other angiosperms.
Microestruturas de pêlos de pequenos mamíferos não-voadores: chave para identificação de espécies de agroecossistemas do estado de São Paulo, Brasil

Hair microstructure characteristics have been used for species identification in taxonomic, ecological, paleontological, archeological and forensic research. This study aims to describe the hair structure from small mammals commonly found in agroecosystems of the Sao Paulo State. The hairs were collected from the dorsal region of previously identified specimens collected in agricultural areas (sugar-cane plantations), pasture areas, silviculture areas (eucalyptus plantation) and fragments of native vegetation (semideciduos Atlantic Forest and Cerrado). Optic microscope was not effective for describing the form and the border of scales, which were described using scanning electronic microscope. A dichotomic key of identification is presented for 11 species of non-volant small mammals (seven rodents and four marsupials).
Efficacy and Safety of Thalidomide for Chemotherapy-induced Nausea and Vomiting

Purpose: A substantial number of cancer patients discontinue chemotherapy due to severe chemotherapy-induced nausea and vomiting (CINV). This study aimed to evaluate the efficacy and safety of thalidomide (THD) in CINV. Methods: We searched different databases to identify related studies that investigated the efficacy and safety of THD in CINV. The primary outcomes were CINV in the acute (0-24 h), delayed (24-120 h), and overall (0-120 h) phases, respectively. The secondary outcomes were the safety of THD and the patients' quality of life (QOL). Results: Fourteen randomized control trials (RCTs) including 1744 patients (42% male) reported the risk ratio (RR) and 95%CI of the THD group versus control group in reducing nausea and vomiting. Meta-analysis showed that THD statistically enhanced the complete response rate of nausea and vomiting in the delayed (nausea: RR = 1.69, 95%CI: 1.47-1.94; vomiting: RR = 1.38, 95%CI: 1.26-1.51) and overall phases (nausea: RR = 1.54, 95%CI: 1.31-1.81; vomiting: RR = 1.31, 95%CI: 1.18-1.46). Furthermore, subgroup analysis based on THD dosage (100 vs 200 mg/day) demonstrated no statistical significance with respect to overlapping 95%CI. Thirty studies monitored the adverse events (AEs) of THD, all under grade 3 based on the CTCAE criteria. We compared the eight most common AEs; sedation, constipation, and drowsiness/dizziness were slightly frequent compared with controls. Conclusion: THD is an effective adjuvant and a potential alternative in reducing delayed and overall CINV. Other regimens might be added for CINV during the acute phase.
Molecular and morphological patterns across Acanthocyclops vernalis‐robustus species complex (Copepoda, Cyclopoida)

Bláha, M. , Hulák, M. , Slouková, J. & Těšitel, J. (2010). Molecular and morphological patterns across Acanthocyclops vernalis‐robustus species complex (Copepoda, Cyclopoida). —Zoologica Scripta, 39, 259–268.
Acute exacerbation of idiopathic interstitial pneumonias related to chemotherapy for lung cancer: nationwide surveillance in Japan

Background Chemotherapy-induced acute exacerbation (AEx) of idiopathic interstitial pneumonias (IIPs) seriously compromises the success of treatment of Japanese lung cancer patients. Here, we conducted a nationwide surveillance to clarify the risk of AEx and compare it with the survival benefit of chemotherapy for this population. Methods Advanced nonsmall cell lung cancer (NSCLC) or small cell lung cancer (SCLC) patients with IIPs were retrospectively analysed. For the surveillance of first-line chemotherapy in 2009, we gathered clinical data from 396 patients who received chemotherapy at 19 institutions between January 1990 and July 2009. In a consecutive retrospective study in 2012, we analysed data from 278 patients from 17 institutions who received second-line chemotherapy between April 2002 and March 2012. Results Of the 396 patients analysed, 13.1% developed chemotherapy-related AEx. Combination chemotherapies of carboplatin plus paclitaxel (CP) or carboplatin plus etoposide (CE) were frequently used as first-line treatments. The lowest incidence of AEx was 3.7% in CE, followed by 8.6% in CP. In the retrospective study, 16.2% of the 278 patients developed a second-line chemotherapy-related AEx. The overall response rate by second-line chemotherapy was 7.4% in NSCLC and 25.7% in SCLC. The median overall survival from second-line and first-line chemotherapy was 8.0 and 14.3 months in NSCLC, and 8.7 and 16.0 months in SCLC, respectively. Conclusion Combination chemotherapies consisting of CP or CE are candidates for standard first-line treatments for patients with advanced lung cancer accompanied by IIP. Second-line chemotherapy should be considered for patients remaining fit enough to receive it. The Japanese are at high risk of acute exacerbation of IPF. Therefore, chemotherapy for Japanese lung cancer patients with IIPs is challenging. However, appropriate chemotherapy may give a survival benefit, despite the risk of acute deterioration of IIPs. http://bit.ly/3cROaCy
Aging-Induced Brain-Derived Neurotrophic Factor in Adipocyte Progenitors Contributes to Adipose Tissue Dysfunction

Aging-related adipose tissue dysfunction contributes to the progression of chronic metabolic diseases. We investigated the role of age-dependent expression of a neurotrophin, brain-derived neurotrophic factor (BDNF) in adipose tissue. Pro-BDNF expression was elevated in epididymal white adipose tissue (eWAT) with advanced age, which was associated with the reduction in sympathetic innervation. Interestingly, BDNF expression was enriched in PDGFRα+ adipocyte progenitors isolated from eWAT, with age-dependent increase in expression. In vitro pro-BDNF treatment caused apoptosis in adipocytes differentiated from C3H10T1/2 cells, and siRNA knockdown of sortilin mitigated these effects. Tamoxifen-inducible PDGFRα+ cell-specific deletion of BDNF (BDNFPdgfra KO) reduced pro-BDNF expression in eWAT, prevented age-associated declines in sympathetic innervation and mitochondrial content in eWAT, and improved insulin sensitivity. Moreover, BDNFPdgfra KO mice showed reduced expression of aging-induced inflammation and senescence markers in eWAT. Collectively, these results identified the upregulation of pro-BDNF expression in adipocyte progenitors as a feature of visceral white adipose tissue aging and suggested that inhibition of BDNF expression in adipocyte progenitors is potentially beneficial to prevent aging-related adipose tissue dysfunction.
High-flow nasal cannula oxygen therapy as an emerging option for respiratory failure: the present and the future

Conventional oxygen therapy (COT) and noninvasive ventilation (NIV) have been considered for decades as frontline treatment for acute or chronic respiratory failure. However, COT can be insufficient in severe hypoxaemia whereas NIV, although highly effective, is poorly tolerated by patients and its use requires a specific expertise. High-flow nasal cannula (HFNC) is an emerging technique, designed to provide oxygen at high flows with an optimal degree of heat and humidification, which is well tolerated and easy to use in all clinical settings. Physiologically, HFNC reduces the anatomical dead space and improves carbon dioxide wash-out, reduces the work of breathing, and generates a positive end-expiratory pressure and a constant fraction of inspired oxygen. Clinically, HFNC effectively reduces dyspnoea and improves oxygenation in respiratory failure from a variety of aetiologies, thus avoiding escalation to more invasive supports. In recent years it has been adopted to treat de novo hypoxaemic respiratory failure, exacerbation of chronic obstructive pulmonary disease (COPD), postintubation hypoxaemia and used for palliative respiratory care. While the use of HFNC in acute respiratory failure is now routine as an alternative to COT and sometimes NIV, new potential applications in patients with chronic respiratory diseases (e.g. domiciliary treatment of patients with stable COPD), are currently under evaluation and will become a topic of great interest in the coming years.
A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states

Single-cell dual RNA sequencing reveals giant virus infection dynamics in a marine bloom-forming alga. The discovery of giant viruses infecting eukaryotes from diverse ecosystems has revolutionized our understanding of the evolution of viruses and their impact on protist biology, yet knowledge on their replication strategies and transcriptome regulation remains limited. Here, we profile single-cell transcriptomes of the globally distributed microalga Emiliania huxleyi and its specific giant virus during infection. We detected profound heterogeneity in viral transcript levels among individual cells. Clustering single cells based on viral expression profiles enabled reconstruction of the viral transcriptional trajectory. Reordering cells along this path unfolded highly resolved viral genetic programs composed of genes with distinct promoter elements that orchestrate sequential expression. Exploring host transcriptome dynamics across the viral infection states revealed rapid and selective shutdown of protein-encoding nuclear transcripts, while the plastid and mitochondrial transcriptomes persisted into later stages. Single-cell RNA-seq opens a new avenue to unravel the life cycle of giant viruses and their unique hijacking strategies.
Dose-dependent functions of SWI/SNF BAF in permitting and inhibiting cell proliferation in vivo

Partial loss of SWI/SNF BAF removes a tumor suppressor but not its transcriptional function required for proliferation. SWI/SNF (switch/sucrose nonfermenting) complexes regulate transcription through chromatin remodeling and opposing gene silencing by Polycomb group (PcG) proteins. Genes encoding SWI/SNF components are critical for normal development and frequently mutated in human cancer. We characterized the in vivo contributions of SWI/SNF and PcG complexes to proliferation-differentiation decisions, making use of the reproducible development of the nematode Caenorhabditis elegans. RNA interference, lineage-specific gene knockout, and targeted degradation of SWI/SNF BAF components induced either overproliferation or acute proliferation arrest of precursor cells, depending on residual protein levels. Our data show that a high SWI/SNF BAF dosage is needed to arrest cell division during differentiation and to oppose PcG-mediated repression. In contrast, a low SWI/SNF protein level is necessary to sustain cell proliferation and hyperplasia, even when PcG repression is blocked. These observations show that incomplete inactivation of SWI/SNF components can eliminate a tumor-suppressor activity while maintaining an essential transcription regulatory function.