Miracle-dz/UniFAR-FTUs huggingface dataset:
Conserved Regulators of Nucleolar Size Revealed by Global Phenotypic Analyses

Loss-of-function analyses in yeast and flies identify molecular complexes that regulate ribosomal DNA transcription. Regulating Nucleolar Size The higher proliferation rate of cancer cells requires an increased rate of protein synthesis. Thus, cancer cells often show increased rates of ribosomal DNA (rDNA) transcription and have more ribosomes and larger nucleoli, which are nuclear structures that function in ribosome biogenesis. Neumüller et al. identified genes in yeast that, when ablated, resulted in smaller or larger nucleoli. A similar analysis in Drosophila enabled the identification of evolutionarily conserved molecular complexes that increase or decrease nucleolar size when the complex constituents were targeted by RNA interference. Understanding how cells regulate rDNA transcription could provide new therapeutic avenues for interfering with the unrestricted growth that occurs in cancer. Regulation of cell growth is a fundamental process in development and disease that integrates a vast array of extra- and intracellular information. A central player in this process is RNA polymerase I (Pol I), which transcribes ribosomal RNA (rRNA) genes in the nucleolus. Rapidly growing cancer cells are characterized by increased Pol I–mediated transcription and, consequently, nucleolar hypertrophy. To map the genetic network underlying the regulation of nucleolar size and of Pol I–mediated transcription, we performed comparative, genome-wide loss-of-function analyses of nucleolar size in Saccharomyces cerevisiae and Drosophila melanogaster coupled with mass spectrometry–based analyses of the ribosomal DNA (rDNA) promoter. With this approach, we identified a set of conserved and nonconserved molecular complexes that control nucleolar size. Furthermore, we characterized a direct role of the histone information regulator (HIR) complex in repressing rRNA transcription in yeast. Our study provides a full-genome, cross-species analysis of a nuclear subcompartment and shows that this approach can identify conserved molecular modules.
Mobile Stride Length Estimation With Deep Convolutional Neural Networks

<italic>Objective</italic>: Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the-art double integration approaches to gait patterns with a clear zero-velocity phase. <italic>Methods</italic>: We describe a novel approach to stride length estimation that uses deep convolutional neural networks to map stride-specific inertial sensor data to the resulting stride length. The model is trained on a publicly available and clinically relevant benchmark dataset consisting of 1220 strides from 101 geriatric patients. Evaluation is done in a tenfold cross validation and for three different stride definitions. <italic>Results</italic>: Even though best results are achieved with strides defined from midstance to midstance with average accuracy and precision of <inline-formula><tex-math notation="LaTeX">$\text{0.01} \pm \text{5.37}\,\text{cm}$ </tex-math></inline-formula>, performance does not strongly depend on stride definition. The achieved precision outperforms state-of-the-art methods evaluated on the same benchmark dataset by <inline-formula> <tex-math notation="LaTeX">$\boldsymbol{ 3.0\,\text{cm }(36\%)}$</tex-math></inline-formula>. <italic>Conclusion </italic>: Due to the independence of stride definition, the proposed method is not subject to the methodological constrains that limit applicability of state-of-the-art double integration methods. Furthermore, it was possible to improve precision on the benchmark dataset. <italic>Significance</italic>: With more precise mobile stride length estimation, new insights to the progression of neurological disease or early indications might be gained. Due to the independence of stride definition, previously uncharted diseases in terms of mobile gait analysis can now be investigated by retraining and applying the proposed method.
Realization on image 2D-DCT sparse transform based on FPGA

Sampling is a necessary course that the Analog physical world leads to the world of digital information. Compressed sensing (CS) theory breaks through the traditional Nyquist sampling theorem for data acquisition. The research object of CS theory is a sparse representation of signals and here 2-D image sparse transform is achieved based on discrete cosine orthogonal basis. Furthermore, there are a presentation of 2D-DCT algorithm based on row-column decomposition structure and an illustration of the optimization algorithm of 1-D DCT based on FPGA emphatically, as well as the transpose RAM method between two levels 1-D DCT. Finally the rationality of the proposed algorithm is verified by comparing image 2D-DCT transformation based on FPGA and 2D-DCT calculation result in MATLAB.
Composition of Anopheline (Diptera: Culicidae) Community and Its Seasonal Variation in Three Environments of the City of Puerto Iguazú, Misiones, Argentina

Abstract In order to extend the knowledge of the composition of the anopheline community and the seasonal variation related to anthropogenic modifications in the city of Puerto Iguazú, adult females were captured between 2009 and 2012. Samples were collected in three environments with different degrees of anthropogenic modification: urban, periurban, and wild. Alpha diversity was evaluated as the ‘true’ diversity of the species in each environment. Among environments, range-abundance curves were used to compare the composition, abundance, and uniformity of species and cluster analysis was used to analyze the similarities and differences. The temporal distribution was analyzed and the relative abundance of the species captured was correlated with meteorological variables. A total of 4,565 females, belonging to seven species: Anopheles albitarsis s.s. (Lynch-Arribálzaga), Anopheles argyritarsis (Robineau-Desvoidy), Anopheles deaneorum (Rosa-Freitas), Anopheles fluminensis (Root), Anopheles mediopunctatus (Theobald), Anopheles strodei s.l. (Root), and Anopheles triannulatus s.l. (Neiva and Pinto) were captured. The wild environment showed higher abundance, diversity, and greater uniformity reflected on the less sharp area of the range–abundance curve. Species richness was the same in the wild and periurban environments. Higher abundances were observed in summer during the months with higher temperatures. Although the wild environment showed greater Anopheles abundances and diversity, specific richness and species complementarity were similar among the three environments studied. Thus, the periurban environment would turn into a transition zone of great epidemiological importance due to the introduction of people in this environment, which represents a potential risk of malaria transmission in the area.
Low Level of TSST-1 Antibody in Burn Patients With Toxic Shock Syndrome Caused by Methicillin-Resistant Staphylococcus aureus

Toxic shock syndrome (TSS) caused by methicillin-resistant Staphylococcus aureus (MRSA) nosocomial infection is a growing concern in both adult and pediatric patients. The reason why TSS appears in only some patients with MRSA infection remains unclear. In this study, we analyzed serial TSS toxin-1 (TSST-1) antibody in patients with burn injury to investigate the mechanisms of TSS caused by MRSA nosocomial infection. This study comprised of patients with burn injury in our burn care unit from September, 2010 to August, 2011. Serum samples were collected serially on admission, at 48 to 72 hours after injury, on the day MRSA infection appeared, and on the day MRSA infection resolved. TSST-1 antibody was measured by enzyme-linked immunosorbent assay (ELISA). TSS was diagnosed according to the criteria of the Centers for Disease Control. Serial serum samples were collected from 24 patients and nosocomial MRSA infection was detected in 12 patients. In these 12 patients, TSS occurred in five patients (TSS+ group) but did not occur in the other seven patients (TSS− group). TSST-1 antibody level was significantly lower in the TSS+ group than TSS− group on admission and on the day MRSA infection appeared. All patients in the TSS+ group received intravenous immune globulin when TSS was diagnosed, and no patients died of TSS. Patients suffering from TSS had a lower level of TSST-1 antibody than patients not suffering from TSS. Testing for TSST-1 antibody in the clinical setting might help to predict and prevent the appearance of TSS caused by nosocomial MRSA infection.
Clinical trials update: recent and ongoing studies in anticoagulation for atrial fibrillation

: Atrial fibrillation is the most common sustained cardiac arrhythmia in the adult population, with a marked increased risk associated with age. Perhaps the most devastating complications of atrial fibrillation include acute ischemic stroke or systemic embolization. Vitamin K antagonists such as warfarin have served as the primary pharmacologic agent for the prevention of these thrombotic complications. Despite the widespread use of vitamin K antagonists, their effectiveness is hindered by several factors, including delayed onset of action, multiple food and drug interactions, onerous monitoring and dosing regimens
The role of new asthma treatments

ABSTRACT Inhaled corticosteroid therapy remains the basis for the treatment of chronic asthma. Recent understanding of its use includes the benefits of early introduction, and of its plateaued dose-benefit effects. Additional beneficial effects on asthma control and prevention of asthma exacerbations can be obtained by combining middle- to high-dose inhaled corticosteroid with long-acting β-agonists and slow-release theophylline. Leukotriene inhibitors, particularly leukotriene receptor antagonists, are novel treatments that may also be combined with inhaled steroid therapy. Although current asthma treatments are very effective, a subgroup of asthma patients (difficult or therapy-resistant asthma) do not respond adequately to these treatments and need maintained oral corticosteroid therapy. New asthma treatments are particularly needed for this group. New treatments for asthma include more potent topical corticosteroids which have less potential for side-effects, inhibition of eosinophil chemotaxis and activation such as anti-IL-5, anti-eotaxin, eotaxin receptor antagonist, anti-VL-A 4 , anti-IgE therapy, restoring Th-1/Th-2 balance either by increasing Th-1 or reducing Th-2 T-cell activity, antiinflammatory cytokines such as IL-10, and specific inhibitors of PDE 4 . These treatments may be considered as either controllers, remitters (inducing remission of disease), or preventors according to their modes of action and their clinical effects. Currently, there does not appear to be any prospect of a cure for asthma.
Effects of Karate Fights on Achilles Tendon Stiffness Measured by Myotonometry

Abstract The aim of the study was to investigate the influence of karate fights on Achilles tendon stiffness in karate competitors. Eleven male karate fighters participated in the present study. A handheld MyotonPRO device (MyotonPRO, Myoton Ltd, Estonia) was applied to measure Achilles tendon stiffness in karate fighters. The Achilles tendon was tested 5 cm above the tuber calcanei. Stiffness measurements were performed before and after eight sparring fights. Each fight lasted 2 min and was separated by a 2 min rest period. Achilles tendon stiffness for the dominant leg increased significantly from before fights (751.57 ± 123.493 N/m) to immediately after fights (809.43 ± 160.425 N/m) (p = 0.012). Presented results should be used by strength and conditioning coaches in training programs as a way to decrease the risk of injury.
Reassessment of paracetamol orthorhombic Form III and determination of a novel low-temperature monoclinic Form III-m from powder diffraction data.

Paracetamol [N-(4-hydroxyphenyl)acetamide, C8H9NO2] has several polymorphs, just like many other drugs. The most stable polymorphs, denoted Forms I and II, can be obtained easily and their crystal structures are known. Crystals of the orthorhombic, less stable, room-temperature Form III are difficult to grow; they need a special recipe to crystallize and suffer from severe preferred orientation. A crystal structure model of Form III has been proposed and solved from a combination of structure prediction and powder X-ray diffraction (PXRD) [Perrin et al. (2009). Chem. Commun. 22, 3181-3183]. The final Rwp value of 0.138 and the corresponding considerable residual trace were reasons to check its validity. A new structure determination of Form III using new high-resolution PXRD data led to a final Rwp value of 0.042 and an improvement of the earlier proposed model. In addition, a reversible phase transition was found at 170-220 K between the orthorhombic Form III and a novel monoclinic Form III-m. The crystal structure of Form III-m has been determined and refined from PXRD data to a final Rwp value of 0.059.
Strength of Correlations in Strongly Recurrent Neuronal Networks

Cross-correlations in the activity in neural networks are commonly used to characterize their dynamical states and their anatomical and functional organizations. Yet, how these latter network features affect the spatiotemporal structure of the correlations in recurrent networks is not fully understood. Here, we develop a general theory for the emergence of correlated neuronal activity from the dynamics in strongly recurrent networks consisting of several populations of binary neurons. We apply this theory to the case in which the connectivity depends on the anatomical or functional distance between the neurons. We establish the architectural conditions under which the system settles into a dynamical state where correlations are strong, highly robust and spatially modulated. We show that such strong correlations arise if the network exhibits an effective feedforward structure. We establish how this feedforward structure determines the way correlations scale with the network size and the degree of the connectivity. In networks lacking an effective feedforward structure correlations are extremely small and only weakly depend on the number of connections per neuron. Our work shows how strong correlations can be consistent with highly irregular activity in recurrent networks, two key features of neuronal dynamics in the central nervous system.
Vehicle detection and tracking based on optical field

Vehicle detection and tracking are of great significance on computer vision and practical applications. The main task of it is to pick out vehicles from the images in a realtime video and tag them so as to achieve goals like traffic flow calculation and the driving direction estimate. In this essay, we chose Horn-Schunck method based on optical field to detect the vehicles. Without knowing any background information, this method can precisely process the video in a real time, picking out the statistics of the moving car and count them. The algorithm used in the essay can achieve the goal of vehicle detection and tracking, calculating and show vehicle flow precisely and avoid the interference of pedestrians and other irrelevant factors.
The Effect of a Robot’s Gestures and Adaptive Tutoring on Children’s Acquisition of Second Language Vocabularies

This paper presents a study in which children, four to six years old, were taught words in a second language by a robot tutor. The goal is to evaluate two ways for a robot to provide scaffolding for students: the use of iconic gestures, combined with adaptively choosing the next learning task based on the child’s past performance. The results show a positive effect on long-term memorization of novel words, and an overall higher level of engagement during the learning activities when gestures are used. The adaptive tutoring strategy reduces the extent to which the level of engagement is diminishing during the later part of the interaction.
Late-stage magmatic outgassing from a volatile-depleted Moon

Significance The “Rusty Rock” 66095 is one of the most volatile-rich rocks from the Moon. The abundance and isotopic composition of volatile elements in the Rusty Rock demonstrates that its lunar interior source became highly depleted in volatile elements and compounds, including Zn, Cl, and Pb. Depletion of these and other volatile elements occurred during thermomagmatic evolution of the Moon and a magma ocean phase. The volatile-rich nature of some rocks on the lunar surface likely originates from extreme degassing and volatile loss from the Moon’s interior. Light zinc isotopic compositions in the Rusty Rock and in the lunar volcanic glass beads (74220, 15426) imply that these samples are partly derived from reservoirs that experienced vapor condensation from a volatile-poor Moon. The abundance of volatile elements and compounds, such as zinc, potassium, chlorine, and water, provide key evidence for how Earth and the Moon formed and evolved. Currently, evidence exists for a Moon depleted in volatile elements, as well as reservoirs within the Moon with volatile abundances like Earth’s depleted upper mantle. Volatile depletion is consistent with catastrophic formation, such as a giant impact, whereas a Moon with Earth-like volatile abundances suggests preservation of these volatiles, or addition through late accretion. We show, using the “Rusty Rock” impact melt breccia, 66095, that volatile enrichment on the lunar surface occurred through vapor condensation. Isotopically light Zn (δ66Zn = −13.7‰), heavy Cl (δ37Cl = +15‰), and high U/Pb supports the origin of condensates from a volatile-poor internal source formed during thermomagmatic evolution of the Moon, with long-term depletion in incompatible Cl and Pb, and lesser depletion of more-compatible Zn. Leaching experiments on mare basalt 14053 demonstrate that isotopically light Zn condensates also occur on some mare basalts after their crystallization, confirming a volatile-depleted lunar interior source with homogeneous δ66Zn ≈ +1.4‰. Our results show that much of the lunar interior must be significantly depleted in volatile elements and compounds and that volatile-rich rocks on the lunar surface formed through vapor condensation. Volatiles detected by remote sensing on the surface of the Moon likely have a partially condensate origin from its interior.
Structure-Activity Relationship of α Mating Pheromone from the Fungal Pathogen Fusarium oxysporum*

During sexual development ascomycete fungi produce two types of peptide pheromones termed a and α. The α pheromone from the budding yeast Saccharomyces cerevisiae, a 13-residue peptide that elicits cell cycle arrest and chemotropic growth, has served as paradigm for the interaction of small peptides with their cognate G protein-coupled receptors. However, no structural information is currently available for α pheromones from filamentous ascomycetes, which are significantly shorter and share almost no sequence similarity with the S. cerevisiae homolog. High resolution structure of synthetic α-pheromone from the plant pathogenic ascomycete Fusarium oxysporum revealed the presence of a central β-turn resembling that of its yeast counterpart. Disruption of the-fold by d-alanine substitution of the conserved central Gly6-Gln7 residues or by random sequence scrambling demonstrated a crucial role for this structural determinant in chemoattractant activity. Unexpectedly, the growth inhibitory effect of F. oxysporum α-pheromone was independent of the cognate G protein-coupled receptors Ste2 and of the central β-turn but instead required two conserved Trp1-Cys2 residues at the N terminus. These results indicate that, despite their reduced size, fungal α-pheromones contain discrete functional regions with a defined secondary structure that regulate diverse biological processes such as polarity reorientation and cell division.
Predictors and Outcomes of Dysphagia Screening After Acute Ischemic Stroke

Background and Purpose— Guidelines advocate screening all acute stroke patients for dysphagia. However, limited data are available regarding how many and which patients are screened and how failing a swallowing screen affects patient outcomes. We sought to evaluate predictors of receiving dysphagia screening after acute ischemic stroke and outcomes after failing a screening test. Methods— We used the Ontario Stroke Registry from April 1, 2010, to March 31, 2013, to identify patients hospitalized with acute ischemic stroke and determine predictors of documented dysphagia screening and outcomes after failing the screening test, including pneumonia, disability, and death. Results— Among 7171 patients, 6677 patients were eligible to receive dysphagia screening within 72 hours, yet 1280 (19.2%) patients did not undergo documented screening. Patients with mild strokes were significantly less likely than those with more severe strokes to have documented screening (adjusted odds ratio, 0.51; 95% confidence interval [CI], 0.41–0.64). Failing dysphagia screening was associated with poor outcomes, including pneumonia (adjusted odds ratio, 4.71; 95% CI, 3.43–6.47), severe disability (adjusted odds ratio, 5.19; 95% CI, 4.48–6.02), discharge to long-term care (adjusted odds ratio, 2.79; 95% CI, 2.11–3.79), and 1-year mortality (adjusted hazard ratio, 2.42; 95% CI, 2.09–2.80). Associations were maintained in patients with mild strokes. Conclusions— One in 5 patients with acute ischemic stroke did not have documented dysphagia screening, and patients with mild strokes were substantially less likely to have documented screening. Failing dysphagia screening was associated with poor outcomes, including in patients with mild strokes, highlighting the importance of dysphagia screening for all patients with acute ischemic stroke.
Apyrase Elicits Host Antimicrobial Responses and Resolves Infection in Burns

The authors previously reported that adenosine triphosphate (ATP) stimulates biofilm formation and removal of the ATP could reduce biofilm formation. The main objective of this study was to evaluate the effects of the ATP-hydrolyzing enzyme, apyrase, on control of Acinetabacter baumannii infection in the burn wound as well as to assess host skin antimicrobial responses. The authors found that apyrase stimulated nitric oxide formation at the wound site and reduced CD55 expression, thereby inducing the assembly of membrane attack complexes. Apyrase treatment nearly eradicated multidrug-resistant A. baumannii from burn wounds in the absence of antibiotics. Apyrase may be an effective therapy against antibiotic-resistant bacterial infections in burns.