Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Different Resistance Training Load Schemes on Strength and Body Composition in Trained Men

Abstract The purpose of this study was to evaluate the impact of moderate-load (10 RM) and low-load (20 RM) resistance training schemes on maximal strength and body composition. Sixteen resistance-trained men were randomly assigned to 1 of 2 groups: a moderate-load group (n = 8) or a low-load group (n = 8). The resistance training schemes consisted of 8 exercises performed 4 times per week for 6 weeks. In order to equate the number of repetitions performed by each group, the moderate load group performed 6 sets of 10 RM, while the low load group performed 3 sets of 20 RM. Between-group differences were evaluated using a 2-way ANOVA and independent t-tests. There was no difference in the weekly total load lifted (sets × reps × kg) between the 2 groups. Both groups equally improved maximal strength and measures of body composition after 6 weeks of resistance training, with no significant between-group differences detected. In conclusion, both moderate-load and low-load resistance training schemes, similar for the total load lifted, induced a similar improvement in maximal strength and body composition in resistance-trained men.
Unravelling the RNA-Binding Properties of SAFB Proteins in Breast Cancer Cells

Scaffold attachment factor B1 (SAFB1) and SAFB2 proteins are oestrogen (ER) corepressors that bind to and modulate ER activity through chromatin remodelling or interaction with the basal transcription machinery. SAFB proteins also have an internal RNA-recognition motif but little is known about the RNA-binding properties of SAFB1 or SAFB2. We utilised crosslinking and immunoprecipitation (iCLIP) coupled with high-throughput sequencing to enable a transcriptome-wide mapping of SAFB1 protein-RNA interactions in breast cancer MCF-7 cells. Analysis of crosslinking frequency mapped to transcript regions revealed that SAFB1 binds to coding and noncoding RNAs (ncRNAs). The highest proportion of SAFB1 crosslink sites mapped to ncRNAs, followed by intergenic regions, open reading frames (ORFs), introns, and 3′ or 5′ untranslated regions (UTR). Furthermore, we reveal that SAFB1 binds directly to RNA and its binding is particularly enriched at purine-rich sequences not dissimilar to the RNA-binding motifs for SR proteins. Using RNAi, we also show, for the first time, that single depletion of either SAFB1 or SAFB2 leads to an increase in expression of the other SAFB protein in both MCF-7 and MDA-MD231 breast cancer cells.
Single current sensor control for PWM inverter fed AC motor drives under over-modulation mode

In order to lower the cost and expand the working range of PWM inverter fed AC motor drives, the control methods under over-modulation conditions with only a DC link current sensor are investigated. A basic phase current reconstruction algorithm is developed for PWM inverters. Taking the over-modulation into account, the space vector PWM strategy and the switching state distribution for PWM inverter are analyzed in detail. In order to realize the DC link current detection under over-modulation conditions, an adjustment scheme of the switching state distribution is proposed. Based on these works, the over-modulation vector control of PWM inverter fed AC motor drive with only a DC link current sensor is implemented. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control algorithm.
Multi-view metric learning for multi-instance image classification

It is critical and meaningful to make image classification since it can help human in image retrieval and recognition, object detection, etc. In this paper, three-sides efforts are made to accomplish the task. First, visual features with bag-of-words representation, not single vector, are extracted to characterize the image. To improve the performance, the idea of multi-view learning is implemented and three kinds of features are provided, each one corresponds to a single view. The information from three views is complementary to each other, which can be unified together. Then a new distance function is designed for bags by computing the weighted sum of the distances between instances. The technique of metric learning is explored to construct a data-dependent distance metric to measure the relationships between instances, meanwhile between bags and images, more accurately. Last, a novel approach, called MVML, is proposed, which optimizes the joint probability that every image is similar with its nearest image. MVML learns multiple distance metrics, each one models a single view, to unifies the information from multiple views. The method can be solved by alternate optimization iteratively. Gradient ascent and positive semi-definite projection are utilized in the iterations. Distance comparisons verified that the new bag distance function is prior to previous functions. In model evaluation, numerical experiments show that MVML with multiple views performs better than single view condition, which demonstrates that our model can assemble the complementary information efficiently and measure the distance between images more precisely. Experiments on influence of parameters and instance number validate the consistency of the method.
Natural and Robust Interaction in Virtual Assembly Simulation

Virtual assembly simulation is one of the most challenging applications of virtual reality. Robust and natural interaction techniques to perform the assembly tasks under investigation are essential as well as efficient methods for choosing from a large number of functionalities from inside the virtual environment. In this paper we present such techniques and methods, in particular multimodal input techniques including speech input and gesture recognition for controlling the system. We address precise positioning by novel approaches for constraining interactive motion of parts and tools, while a new natural grasping algorithm provides intuitive interaction. Finally, sliding contact simulation allows the user to create collision-free assembly paths efficiently. Preliminary results show that the array of functionality and techniques described in this paper is sufficiently mature so that virtual assembly simulation can be applied in the field.
Color encoding of phase: A new step in imaging by structured light and single pixel detection

In this paper the imaging of extended targets by means of structured light and single-pixel detection is examined. In particular, different kinds of illumination patterns (discrete Hadamard; continuous sinusoidal; complex Laguerre-Gauss) are compared both numerically and experimentally in terms of obtainable resolution. Furthermore, a new approach for encoding the complex phase which allows to reduce the number of illuminations for a given resolution is presented.
The Prevalence of Sacroiliitis and Spondyloarthritis in Patients with Sarcoidosis

Introduction. Sarcoidosis is a chronic granulomatous disease, which can involve different organs and systems. Coexistence of sarcoidosis and spondyloarthritis has been reported in numerous case reports. Purpose. To determine the prevalence of sacroiliitis and spondyloarthritis in patients previously diagnosed with sarcoidosis and to investigate any possible relation with clinical findings. Materials and Methods. Forty-two patients with sarcoidosis were enrolled in the study. Any signs and symptoms in regard to spondyloarthritis (i.e., existence of inflammatory back pain, gluteal pain, uveitis, enthesitis, dactylitis, inflammatory bowel disease, and psoriasis) were questioned in detail and biochemical tests were evaluated. Sacroiliac joint imaging and lateral heel imaging were performed in all patients. Results. Sacroiliitis was found in 6 of the 42 (14.3%) sarcoidosis patients and all of these patients were female. Common features of the disease in these six patients were inflammatory back pain as the major clinical complaint, stage 2 sacroiliitis as revealed by radiological staging, and the negativity of HLA B-27 test. These six patients with sacroiliitis were diagnosed with spondyloarthritis according to the criteria of ASAS and of ESSG. Conclusion. We found spondyloarthritis in patients with sarcoidosis at a higher percentage rate than in the general population (1–1.9%). Controlled trials involving large series of patients are required for the confirmation of the data.
Recombinant human tumor necrosis factor alpha promotes adherence of Staphylococcus aureus to cultured human endothelial cells

Tumor necrosis factor (TNF), a potent inflammatory mediator secreted by monocytes during inflammation, was shown to significantly increase the adherence of Staphylococcus aureus to cultured human umbilical vein endothelial cells in vitro. The stimulatory effect of TNF was dose dependent and was bimodal with respect to time; bacterial adhesion peaked after 4 and 16 h of stimulation with recombinant human TNF-alpha. The ability of TNF-alpha to augment staphylococcal adherence to endothelial cells was contingent upon the presence of plasma factors. Thus, the complex interaction among cytokines (such as TNF), plasma factor(s), and the endothelium serves to modulate bacterial adherence to endothelial cells.
Using Gravitational Search Algorithm to Support Artificial Neural Network in Intrusion Detection System

Currently network security researchers are focusing on intrusion detection systems. The effectiveness of a Gravitational Search Algorithm in optimizing the results of an Artificial Neural Network is investigated for attack detection in an intrusion detection system. The KDD CUP ‘99 dataset is used in this study for achieving the ANN results. The results are presented before applying the GSA, and they are compared with optimal results after the GSA has been applied.
Automated Image Annotation for Semantic Indexing and Retrieval of Medical Images

Medical image retrieval to search for clinically relevant and visually similar images depicting suspecious lesions have been attracting research interest. Content-based image retrieval (CBIR) is an important alternate and complement to traditional text-based retrieval using keywords. We have implemented CBIR system based on effective use of texture information within the images obtained by statistical cooccurrence matrix method. Also, the method is improved by bridging the semantic gap between low-level visual features and the high-level semantic concepts using automated image annotations. In this paper, we have proposed a classification-based multi-class multi-label semantic model and the corresponding learning procedure to address the problem of automatic image annotation using J48 decision tree classifier and show its application to medical image retrieval. Hash structure is used to index images. Eucledian distance measure is used for similarity measurement. Both the methods are compared using precision and recall measures. Semantic indexing is shown to outperform CBIR for MR-T2 axial brain images.
How to communicate with patients about future illness progression and end of life: a systematic review

Background Conversation and discourse analytic research has yielded important evidence about skills needed for effective, sensitive communication with patients about illness progression and end of life. Objectives To: ▸ Locate and synthesise observational evidence about how people communicate about sensitive future matters; ▸ Inform practice and policy on how to provide opportunities for talk about these matters; ▸ Identify evidence gaps. Design Systematic review of conversation/discourse analytic studies of recorded interactions in English, using a bespoke appraisal approach and aggregative synthesis. Results 19 publications met the inclusion criteria. We summarised findings in terms of eight practices: ‘fishing questions’—open questions seeking patients’ perspectives (5/19); indirect references to difficult topics (6/19); linking to what a patient has already said—or noticeably not said (7/19); hypothetical questions (12/19); framing difficult matters as universal or general (4/19); conveying sensitivity via means other than words, for example, hesitancy, touch (4/19); encouraging further talk using means other than words, for example, long silences (2/19); and steering talk from difficult/negative to more optimistic aspects (3/19). Conclusions Practices vary in how strongly they encourage patients to engage in talk about matters such as illness progression and dying. Fishing questions and indirect talk make it particularly easy to avoid engaging—this may be appropriate in some circumstances. Hypothetical questions are more effective in encouraging on-topic talk, as is linking questions to patients’ cues. Shifting towards more ‘optimistic’ aspects helps maintain hope but closes off further talk about difficulties: practitioners may want to delay doing so. There are substantial gaps in evidence.
Answering why-not queries in software-defined networks with negative provenance

When debugging an SDN, it is sometimes necessary to explain the absence of an event: why a certain rule was not installed, or why a certain packet did not arrive. Existing SDN debuggers offer some support for explaining the presence of events, usually by providing the equivalent of a "backtrace" in conventional debuggers, but they are not very good at answering "Why not? " questions: there is simply no starting point for a possible backtrace. In this paper, we show that the concept of negative provenance can be used to explain the absence of events in SDNs. Negative provenance relies on counterfactual reasoning to identify the conditions under which the missing event could have occurred. We outline a simple technique that can track negative provenance in SDNs, and we present a case study to illustrate how our technique can be used to answer concrete "Why not? " questions. Using our approach, it should be possible to build SDN debuggers that can explain both the presence and the absence of events.
Clustering and magnetic anisotropy of Fe adatoms on graphene

Single Fe adatoms and clusters of Fe adatoms on graphene are studied through first-principles calculations using density functional theory (DFT) and spin density functional theory (sDFT). First, we consider computational cells containing various numbers of C atoms and one Fe adatom. We calculate the binding energy, adatom height, and magnetic moment of the adatom above a few high-symmetry positions in the cell. In all cases, the binding energy increases with decreasing cell size, suggesting that clustering of the Fe adatoms is energetically favored. We also calculate the energy of various clusters of two to four Fe atoms on graphene in computational cells of various sizes, using both DFT and sDFT. These calculations again show that, both in DFT and sDFT, the Fe adatoms strongly prefer to form clusters. The energy barrier for an isolated Fe adatom to diffuse from the center of one graphene hexagon is calculated to be 0.49 eV. This barrier is reduced for an Fe atom which is one of a pair of neighboring adatoms. Finally, by including spin-orbit interactions within sDFT, we calculate the magnetic anisotropy energy of a single Fe adatom on graphene. We find that the in-plane anisotropy energy is close to zero, while the out-of-plane anisotropy energy is ∼DS 2 cos 2 θ where S ∼ 2.0, θ is the angle between the magnetic
The SAGA complex in the rice pathogen Fusarium fujikuroi: structure and functional characterization

Post‐translational modification of histones is a crucial mode of transcriptional regulation in eukaryotes. A well‐described acetylation modifier of certain lysine residues is the Spt‐Ada‐Gcn5 acetyltransferase (SAGA) complex assembled around the histone acetyltransferase Gcn5 in Saccharomyces cerevisiae. We identified and characterized the SAGA complex in the rice pathogen Fusarium fujikuroi, well‐known for producing a large variety of secondary metabolites (SMs). By using a co‐immunoprecipitation approach, almost all of the S. cerevisiae SAGA complex components have been identified, except for the ubiquitinating DUBm module and the chromodomain containing Chd1. Deletion of GCN5 led to impaired growth, loss of conidiation and alteration of SM biosynthesis. Furthermore, we show that Gcn5 is essential for the acetylation of several histone 3 lysines in F. fujikuroi, that is, H3K4, H3K9, H3K18 and H3K27. A genome‐wide microarray analysis revealed differential expression of about 30% of the genome with an enrichment of genes involved in primary and secondary metabolism, transport and histone modification. HPLC‐based analysis of known SMs revealed significant alterations in the Δgcn5 mutant. While most SM genes were activated by Gcn5 activity, the biosynthesis of the pigment bikaverin was strongly increased upon GCN5 deletion underlining the diverse roles of the SAGA complex in F. fujikuroi.
Comparison of fetal cell recovery from maternal blood using a high density gradient for the initial separation step: 1.090 versus 1.119 g/ml

The purpose of this study was to improve recovery of fetal nucleated erythrocytes (NRBCs) from maternal blood for non‐invasive prenatal diagnosis. Peripheral blood samples were obtained from 27 women who had just undergone pregnancy termination at 6 to 23 weeks. Samples were split and mononuclear cells were isolated using Histopaque gradient at densities of 1.090 g/ml and 1.119 g/ml. CD45 depletion using magnetic activated cell‐sorting, followed by flow‐sorting with antibody to γ‐globin and fluorescence in situ hybridization (FISH) analysis, were used to evaluate the number of fetal NRBCs recovered. In samples separated with the 1.119 g/ml density gradient, the yield of true anti‐γ haemoglobin positive cells (median, 14.9; range, 0–717.5) was significantly higher than that with the 1.090 g/ml density gradient (median, 4.9; range, 0–532.5). After FISH analysis, in the 14 samples in which the fetal karyotype differed from the mother, the median number of fetal NRBCs separated by the 1.119 g/ml density gradient was 22.9 (2–717.5), which was significantly higher than that by the 1.090 g/ml gradient (median, 11.5; range, 0–532.5, p=0.022). Increased density of the gradient used for the initial enrichment of fetal cells results in improved fetal cell recovery in fresh post‐termination blood samples, which may permit better non‐invasive detection of fetal cells in maternal blood. Copyright © 2000 John Wiley & Sons, Ltd.
Microbial Volatile Organic Compounds in Full Scale Stud Cavities: Identification and Transport Analysis

An experimental project is carried out, as a part of the Collaborative Research and Development (CRD) project, to investigate the capacity of wall cavities to contain mold products, emanating from studs with 10% of their surfaces covered with mold, and to constrain their penetration into the indoor space. 20 full-scale stud cavities were constructed to incorporate six experimental parameters related to the design of air leakage path (direct and long), mold contamination, wall construction configurations (vapour barrier, insulation and sheathing material) and ambient conditions (wet and dry conditions). Twelve specimens incorporate wood studs that were inoculated with three predetermined mold species and prepared for about 3 weeks in a mycological lab until 10% of mold coverage was reached. A stainless steel sampling chamber over drywall induced prescribed air infiltration. The tests were designed primarily to study the movement of spores. The project was subsequently extended to investigate the identification of microbial volatile organic compounds (MVOCs) and their transport through the building envelope. This thesis reports the identification of mold related VOCs, the analysis of transport of these MVOCs from the stud cavity to the indoor space and the assessment of the influence of the parameters on this transport. The chemical analysis of the VOCs (volatile organic compounds) samplers and the identification of the chemical components were performed using gas chromatography/mass spectrometry. The identified compounds include VOCs that are commonly found in the indoor air (e.g. Benzene, Toluene, Xylenes, etc.) as well as frequently reported MVOCs (e.g. Furan 3-Methyl). The results were analyzed using multiple regression analysis to identify the mold related VOCs, and to determine the transport through the building envelope. Five VOCs (1-propanol, cyclohexanone, furan 3-methyl, alpha pinene and pentadecane) were identified as significantly related to the presence of mold in the stud cavity, at 5 % level of significance. The transport of these MVOCs from the sampling chamber to the cavity was confirmed, however, no significant effect of the parameters related to wall construction configuration were detected.
Efficient Power Allocation for Multiple Relays with Lossy Intra-Links and Distributed Source Coding

The so-called Chief Executive Officer problem has inspired some relay transmission schemes. It suggests that the source message can be recovered at the destination by combining a set of corrupted replicas sent by multiple relays, as long as the replicas are sufficiently correlated with the original message. In this work, we build on the Slepian-Wolf theorem to assess the outage performance of a distributed source coding scheme for a decode-and-forward multirelay system in which the direct link is unavailable to convey information. As in the CEO problem, the replicas forwarded by the relays are allowed to contain intralink errors due to previous unreliable hops, and the destination is expected to reconstruct the original message by jointly decoding all the received replicas. In addition to analyzing the outage probability of such scheme, we derive a simple yet efficient power allocation strategy for the multiple relays, which is asymptotically optimal at high signal-to-noise ratio.
Arabidopsis RGLG2, Functioning as a RING E3 Ligase, Interacts with AtERF53 and Negatively Regulates the Plant Drought Stress Response1[W][OA]

Transcriptional activities of plants play important roles in responses to environmental stresses. ETHYLENE RESPONSE FACTOR53 (AtERF53) is a drought-induced transcription factor that belongs to the AP2/ERF superfamily and has a highly conserved AP2 domain. It can regulate drought-responsive gene expression by binding to the GCC box and/or the dehydration-responsive element in the promoter of downstream genes. Overexpression of AtERF53 driven by the cauliflower mosaic virus 35S promoter resulted in an unstable drought-tolerant phenotype in T2 transgenic Arabidopsis (Arabidopsis thaliana) plants. Using a yeast two-hybrid screen, we identified a RING domain ubiquitin E3 ligase, RGLG2, which interacts with AtERF53 in the nucleus. The copine domain of RGLG2 exhibited the strongest interacting activity. We also demonstrated that RGLG2 could move from the plasma membrane to the nucleus under stress treatment. Using an in vitro ubiquitination assay, RGLG2 and its closest sequelog, RGLG1, were shown to have E3 ligase activity and mediated AtERF53 ubiquitination for proteasome degradation. The rglg1rglg2 double mutant but not the rglg2 or rglg1 single mutant exhibited a drought-tolerant phenotype when compared with wild-type plants. AtERF53-green fluorescent proteins expressed in the rglg1rglg2 double mutants were stable. The 35S:AtERF53-green fluorescent protein/rglg1rglg2 showed enhanced AtERF53-regulated gene expression and had greater tolerance to drought stress than the rglg1rglg2 double mutant. In conclusion, RGLG2 negatively regulates the drought stress response by mediating AtERF53 transcriptional activity in Arabidopsis.