Miracle-dz/UniFAR-FTUs huggingface dataset:
The Embodiment of Power and Visual Dominance Behaviour

The objective of this study was to identify whether the changes in assuming power poses during a conversation between a pair of individuals, who were previously familiar with each other, influence the hierarchy of power, changes in it, as well as maintenance and adoption of different roles in the hierarchy. We assumed changes in roles of power on the basis of changes in visual dominance behaviour, which proved to be a reliable indicator of the social power of the individual in previous researches. Each pair conversed on predefined topics three times for three minutes. By placing individuals in a neutral or expansive posture, the purpose of which was covered by the use of a cover story, we created a difference in nonverbal expression of power between the two individuals. In the first conversation, both individuals adopted a neutral pose. In the second conversation, one individual adopted an expansive posture, while the other remained in a neutral one, and vice versa in the third conversation. Interactions were filmed with two cameras, which enabled us to analyse nonverbal behaviour. The results show that the differences in displays of power with expansive body postures between individuals are not associated with changes in visual dominance behaviour of individuals. From this we conclude that in the relations in which the social hierarchy of power is already established, the use of power poses does not help increase the power of the individual who adopts the posture.
A Comparison between Different Methods of Estimating Anaerobic Energy Production

Purpose: The present study aimed to compare four methods of estimating anaerobic energy production during supramaximal exercise. Methods: Twenty-one junior cross-country skiers competing at a national and/or international level were tested on a treadmill during uphill (7°) diagonal-stride (DS) roller-skiing. After a 4-minute warm-up, a 4 × 4-min continuous submaximal protocol was performed followed by a 600-m time trial (TT). For the maximal accumulated O2 deficit (MAOD) method the V.O2-speed regression relationship was used to estimate the V.O2 demand during the TT, either including (4+Y, method 1) or excluding (4-Y, method 2) a fixed Y-intercept for baseline V.O2. The gross efficiency (GE) method (method 3) involved calculating metabolic rate during the TT by dividing power output by submaximal GE, which was then converted to a V.O2 demand. An alternative method based on submaximal energy cost (EC, method 4) was also used to estimate V.O2 demand during the TT. Results: The GE/EC remained constant across the submaximal stages and the supramaximal TT was performed in 185 ± 24 s. The GE and EC methods produced identical V.O2 demands and O2 deficits. The V.O2 demand was ~3% lower for the 4+Y method compared with the 4-Y and GE/EC methods, with corresponding O2 deficits of 56 ± 10, 62 ± 10, and 63 ± 10 mL·kg−1, respectively (P < 0.05 for 4+Y vs. 4-Y and GE/EC). The mean differences between the estimated O2 deficits were −6 ± 5 mL·kg−1 (4+Y vs. 4-Y, P < 0.05), −7 ± 1 mL·kg−1 (4+Y vs. GE/EC, P < 0.05) and −1 ± 5 mL·kg−1 (4-Y vs. GE/EC), with respective typical errors of 5.3, 1.9, and 6.0%. The mean difference between the O2 deficit estimated with GE/EC based on the average of four submaximal stages compared with the last stage was 1 ± 2 mL·kg−1, with a typical error of 3.2%. Conclusions: These findings demonstrate a disagreement in the O2 deficits estimated using current methods. In addition, the findings suggest that a valid estimate of the O2 deficit may be possible using data from only one submaximal stage in combination with the GE/EC method.
Modelling and control for a class of axially moving nonuniform system

ABSTRACT In this paper, we deal with the active control problem for a class of axially moving system. The system is nonuniform due to the spatial-varying mass and spatiotemporally varying tension. The infinite dimensional model of the nonuniform system represented by the hybrid partial-ordinary differential equations is derived with consideration of the spatiotemporally varying distributed disturbance. To suppress the vibration of the nonuniform system, full state feedback boundary control is developed. For the case that the system states cannot be measured, output feedback boundary control is proposed by using the high-order observers for the estimation of the unmeasurable states. The disturbance observer is introduced to mitigate the effects of the boundary disturbance. With the proposed boundary control, the stability of the closed-loop nonuniform system is achieved through rigorous analysis and the uniform boundedness of the all closed-loop signals is guaranteed. Numerical simulations are performed to validate the performance of the control scheme proposed.
Histone deacetylase-4 and histone deacetylase-8 regulate interleukin-1β-induced cartilage catabolic degradation through MAPK/JNK and ERK pathways

Interleukin-1β (IL-1β)-induced inflammatory response is associated with osteoarthritis (OA) and its development. Histone deacetylase (HDAC) may be involved in regulating this pathogenesis, but the mechanism has yet to be elucidated. The aim of the present study was to investigate the mechanism underlying the regulation of IL-1β-stimulated catabolic degradation of cartilage by HDAC. An in vitro model of OA was generated using rat articular chondrocytes (rACs) treated with IL-1β. The role of HDAC in IL-1β-induced gene expression was investigated using HDAC inhibitors and specific small interfering RNAs (siRNAs). The association of diverse mitogen-activated protein kinase (MAPK) pathways was examined. The IL-1β-induced expression of a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS)-4 and ADAMTS-5, and the production of collagen X and cyclo-oxygenase-2 in rACs was accompanied by the expression of HDAC4 and HDAC8, and were significantly downregulated by HDAC inhibitors and specific siRNAs. IL-1β-induced activation of extracellular signal-regulated kinase was downregulated by the HDAC inhibitor Trichostatin A, but not significantly by PCI-34051. The activation of c-Jun N-terminal kinase was observably downregulated by the latter, but only slightly by the former. These results suggest that HDAC4 and HDAC8 may serve as key upstream mediators of MAPK in regulating the IL-1β-induced cartilage catabolic and degradation. Therefore, inhibiting HDAC4 or HDAC8 or both may be a promising therapeutic strategy in preventing and treating OA.
Immune Repertoire Sequencing Using Molecular Identifiers Enables Accurate Clonality Discovery and Clone Size Quantification

Unique molecular identifiers (MIDs) have been demonstrated to effectively improve immune repertoire sequencing (IR-seq) accuracy, especially to identify somatic hypermutations in antibody repertoire sequencing. However, evaluating the sensitivity to detect rare T cells and the degree of clonal expansion in IR-seq has been difficult due to the lack of knowledge of T cell receptor (TCR) RNA molecule copy number and a generalized approach to estimate T cell clone size from TCR RNA molecule quantification. This limited the application of TCR repertoire sequencing (TCR-seq) in clinical settings, such as detecting minimal residual disease in lymphoid malignancies after treatment, evaluating effectiveness of vaccination and assessing degree of infection. Here, we describe using an MID Clustering-based IR-Seq (MIDCIRS) method to quantitatively study TCR RNA molecule copy number and clonality in T cells. First, we demonstrated the necessity of performing MID sub-clustering to eliminate erroneous sequences. Further, we showed that MIDCIRS enables a sensitive detection of a single cell in as many as one million naïve T cells and an accurate estimation of the degree of T cell clonal expression. The demonstrated accuracy, sensitivity, and wide dynamic range of MIDCIRS TCR-seq provide foundations for future applications in both basic research and clinical settings.
Effect of Domain Interaction on Apolipoprotein E Levels in Mouse Brain

Apolipoprotein (apo) E4 is a risk factor for heart disease, Alzheimer's disease, and other forms of neurodegeneration, but the underlying mechanisms are unknown. Domain interaction, a structural property that distinguishes apoE4 from apoE2 and apoE3, results in more rapid turnover and lower plasma levels of apoE4. To determine whether domain interaction affects brain apoE levels, we analyzed brain homogenates from human apoE3 and apoE4 knock-in mice, wild-type mice, and Arg-61 apoE mice, in which domain interaction was introduced by gene targeting. As determined on Western blots, the hemibrain, cortex, hippocampus, and cerebellum of knock-in mice had 30-40% lower levels of apoE4 than apoE3, and Arg-61 mice had 25-50% lower apoE levels than wild-type mice. In the CSF, Arg-61 apoE level was 40% lower than the wild-type level. Arg-61 apoE mRNA levels were similar to or slightly higher than wild-type apoE mRNA levels. Thus, the lower Arg-61 apoE levels were not attributable to decreased mRNA levels. In culture medium from heterozygous Arg-61/wild-type and apoE4/apoE3 primary astrocytes, Arg-61 apoE and apoE4 levels were lower than wild-type apoE and apoE3, respectively, suggesting that primary astrocytes secrete lower amounts of Arg-61 apoE and apoE4. These results demonstrate that domain interaction is responsible for the lower levels of both human apoE4 and mouse Arg-61 apoE in mouse brain. Cells may recognize apoE4 and Arg-61 apoE as misfolded proteins and target them for degradation or accumulation. Thus, degradation/accumulation or lower levels of apoE4 may contribute to the association of apoE4 with Alzheimer's disease.
A long-term mechanistic computational model of physiological factors driving the onset of type 2 diabetes in an individual

A computational model of the physiological mechanisms driving an individual's health towards onset of type 2 diabetes (T2D) is described, calibrated and validated using data from the Diabetes Prevention Program (DPP). The objective of this model is to quantify the factors that can be used for prevention of T2D. The model is energy and mass balanced and continuously simulates trajectories of variables including body weight components, fasting plasma glucose, insulin, and glycosylated hemoglobin among others on the time-scale of years. Modeled mechanisms include dynamic representations of intracellular insulin resistance, pancreatic beta-cell insulin production, oxidation of macronutrients, ketogenesis, effects of inflammation and reactive oxygen species, and conversion between stored and activated metabolic species, with body-weight connected to mass and energy balance. The model was calibrated to 331 placebo and 315 lifestyle-intervention DPP subjects, and one year forecasts of all individuals were generated. Predicted population mean errors were less than or of the same magnitude as clinical measurement error; mean forecast errors for weight and HbA1c were ~5%, supporting predictive capabilities of the model. Validation of lifestyle-intervention prediction is demonstrated by synthetically imposing diet and physical activity changes on DPP placebo subjects. Using subject level parameters, comparisons were made between exogenous and endogenous characteristics of subjects who progressed toward T2D (HbA1c > 6.5) over the course of the DPP study to those who did not. The comparison revealed significant differences in diets and pancreatic sensitivity to hyperglycemia but not in propensity to develop insulin resistance. A computational experiment was performed to explore relative contributions of exogenous versus endogenous factors between these groups. Translational uses to applications in public health and personalized healthcare are discussed.
Sirtuin 7 promotes colorectal carcinoma proliferation and invasion through the inhibition of E-cadherin

Sirtuin 7 (Sirt7) is a member of the sirtuin protein family and is implicated in various carcinomas; however, the function of Sirt7 in colorectal carcinoma (CRC) remains unclear. The present study aimed to explore the biological function of Sirt7 in CRC tissues and cell lines, and to investigate the potential underlying mechanism by performing reverse transcription-quantitative polymerase chain reaction analyses, western blot analyses, luciferase reporter assays, cell proliferation and invasion assays. It was demonstrated that Sirt7 presented a higher expression in CRC tissues and cell lines compared with that in normal tissues and cells, and this higher expression was correlated with the tumor size, the tumor, node and metastasis stage and distant metastasis. Knockdown of Sirt7 repressed the proliferation ability of SW620 and HCT116 cells in vitro, while ectopic expression of Sirt7 increased the epithelial-mesenchymal transition and invasion in HT29 and SW480 cells. Notably, these functional effects of Sirt7 were exerted through the repression of E-cadherin. Thus, the data of the present study indicated a novel mechanistic role for Sirt7 as an oncogene in CRC malignancy, and Sirt7 may be a potential therapeutic target.
Discrete-time Approximation of Multidimensional BSDEs with oblique reflections

In this paper, we study the discrete-time approximation of multi-dimensional reflected BSDEs of the type of those presented by Hu and Tang and generalized by Hamadene and Zhang. In comparison to the penalizing approach followed by Hamadene and Jeanblanc or Elie and Kharroubi, we study a more natural scheme based on oblique projections. We provide a control on the error of the algorithm by introducing and studying the notion of multidimensional discretely reflected BSDE. In the particular case where the driver does not depend on the variable $Z$, the error on the grid points is of order $\frac{1}{2} - \epsilon$, $\epsilon>0$.
Final Report: Multi-Scale Analysis of Deformation and Failure in Polycrystalline Titanium Alloys Under High Strain-Rates

Abstract : The research has developed a powerful crystal plasticity based computational modeling tool for predicting mechanical response and localization, eventually leading to failure in polycrystalline titanium alloys, e.g. Ti-6Al-4V and Ti-7AL under extreme loading conditions. Ti alloys possess complex heterogeneous microstructures due to non-uniform grain size distribution and strong anisotropy arising from dislocation glide on different slip systems. The computational model aims at enhancing the predictive capabilities, accounting for the effects of morphological and crystallographic features of 3D microstructures and loading characteristics on the deformation and failure mechanisms. Collaboration has been pursued with ARL researchers on material data and experiments. Various modules pursued are: Microstructural Characterization and Image-Based Virtual Model Generation: We have developed robust 3D models virtual polycrystalline microstructures of Ti-7Al that represent both morphological and crystallographic statistics observed in OIM scans. Physics-Based Micromechanical Modeling: This work has developed a unified dislocation density-based crystal plasticity model for hcp metals by combining the thermally-activated and drag-dominated stages of dislocation slip. The model is suitable for modeling deformation under a wide range of strain rates. The effects of temperature are considered. The proposed constitutive model is incorporated into a stabilized locking-free large deformation finite element (FE) framework.
Radio Resource Allocation for Uplink OFDMA Systems With Finite Symbol Alphabet Inputs

In this paper, we consider the radio resource allocation problem for uplink orthogonal frequency-division multiple-access (OFDMA) systems. The existing algorithms have been derived under the assumption of Gaussian inputs due to its closed-form expression of mutual information. For the sake of practicality, we consider the system with finite symbol alphabet (FSA) inputs and solve the problem by capitalizing on the recently revealed relationship between mutual information and minimum mean square error (MMSE). We first relax the problem to formulate it as a convex optimization problem, and then, we derive the optimal solution via decomposition methods. The optimal solution serves as an upper bound on the system performance. Due to the complexity of the optimal solution, a low-complexity suboptimal algorithm is proposed. Numerical results show that the presented suboptimal algorithm can achieve performance very close to the optimal solution and that it outperforms the existing suboptimal algorithms. Furthermore, using our proposed algorithm, significant power saving can be achieved in comparison to the case when a Gaussian input is assumed.
Multilevel indirect matrix converter with carrier-based pulse width modulation

This paper proposes a multilevel indirect matrix converter (IMC) topology with multilevel output voltages and its simplified carrier-based pulse-width modulation (PWM) method. This converter consists of two rectifier stages used in traditional three-phase IMC and three-level T-type voltage source inverter. Beside a proposed IMC topology, the carrier-based PWM method suitable for this converter is also introduced. Proposed EVIC topology features the advantages of conventional three-phase EVIC, such as sinusoidal input/output current waveforms, controllable input power factor and simple commutation at the rectifier stage. Furthermore, as compared to the conventional three-phase IMC, the proposed converter has the ability to synthesis the multilevel output voltages and to generate high output voltage. Analysis and simulation results are provided to verify the feasibility of the proposed IMC topology and PWM method.
Adaptive matching circuitry for compensation of finger effect on handset antennas

In this paper we present and evaluate the effect of hand on terminal antenna and discuss a method to compensate for the mismatch. A dual band PIFA was used in this study. The presence of the hand was observed to cause 2–6dB loss in efficiency in low-band and 2–4dB loss in highband. In this study we propose a dynamic antenna matching (DAM) technique to improve matching level that can improve the total efficiency of the antenna by 2 – 4dB compared to the mismatched case.
Database Descriptors: Laying the Path to Commodity Web Data Services

The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semi-structured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable to accommodate the hostility, unsafety and fast pace of the Web environment. Web Applications soon, if not already, will seek to dynamically negotiate their relationship to distributed database services. Prior to accomplishing autonomous application\_to\_DBMS binding and seamless data migration, we need to devise a "lingua franca" to request and describe DBMS and database services and capabilities. Database descriptors (DBDs) are a step towards this vision. This paper presents the motivation for DBDs, their structure and architecture, examples and a use case scenario.
The E6AP Ubiquitin Ligase Is Required for Transactivation of the hTERT Promoter by the Human Papillomavirus E6 Oncoprotein*

Most human cancer cells display increased telomerase activity that appears to be critical for continued cell proliferation and tumor formation. The E6 protein of malignancy-associated human papillomaviruses increases cellular telomerase in primary human keratinocytes at least partly via transcriptional activation of the telomerase catalytic subunit, hTERT. In the present study, we investigated whether E6AP, a ubiquitin ligase well known for binding and mediating some of the activities of the E6 oncoprotein, participated in the transactivation of the hTERT promoter. Our results demonstrate that E6 mutants that fail to bind E6AP are also defective for increasing telomerase activity and transactivating the hTERT promoter. More importantly, E6AP knock-out mouse cells and small interfering RNA techniques demonstrated that E6AP was required for hTERT promoter transactivation in both mouse and human cells. Neither E6 nor E6AP bound to the hTERT promoter or activated the promoter in the absence of the partner protein. With all transactivation-competent E6 proteins, induction of the hTERT promoter was dependent upon E box elements in the core promoter. It appears, therefore, that E6-mediated activation of the hTERT promoter requires a complex of E6-E6AP to engage the hTERT promoter and that activation is dependent upon Myc binding sites in the promoter. The recruitment of a cellular ubiquitin ligase to the hTERT promoter during E6-mediated transcriptional activation suggests a role for the local ubiquitination (and potential degradation) of promoter-associated regulatory proteins, including the Myc protein.
Spike-Timing Dependent Plasticity in Unipolar Silicon Oxide RRAM Devices

Resistance switching, or Resistive RAM (RRAM) devices show considerable potential for application in hardware spiking neural networks (neuro-inspired computing) by mimicking some of the behavior of biological synapses, and hence enabling non-von Neumann computer architectures. Spike-timing dependent plasticity (STDP) is one such behavior, and one example of several classes of plasticity that are being examined with the aim of finding suitable algorithms for application in many computing tasks such as coincidence detection, classification and image recognition. In previous work we have demonstrated that the neuromorphic capabilities of silicon-rich silicon oxide (SiOx) resistance switching devices extend beyond plasticity to include thresholding, spiking, and integration. We previously demonstrated such behaviors in devices operated in the unipolar mode, opening up the question of whether we could add plasticity to the list of features exhibited by our devices. Here we demonstrate clear STDP in unipolar devices. Significantly, we show that the response of our devices is broadly similar to that of biological synapses. This work further reinforces the potential of simple two-terminal RRAM devices to mimic neuronal functionality in hardware spiking neural networks.
Incidence and Factors Influencing Retinal Displacement in Eyes Treated for Rhegmatogenous Retinal Detachment With Vitrectomy and Gas or Silicone Oil.

Purpose The purpose of this study was to study the incidence and factors influencing retinal displacement in eyes treated for rhegmatogenous retinal detachment (RRD) with pars plana vitrectomy (PPV) and gas or silicone oil. Methods This was a prospective observational case series. One hundred twenty-five eyes with macula-off RRD from 125 patients underwent 25-gauge PPV at two vitreoretinal institutional practices. Eyes without proliferative vitreoretinopathy (PVR) or PVR grade A were tamponated with sulfur hexafluoride (SF6) gas, whereas eyes with PVR grade B received 1000 centistokes silicone oil (SO). The patients postured face-down immediately after surgery. Blue-fundus autofluorescence (B-FAF) pictures were obtained at each follow-up examination. Main outcome measures were incidence and direction of retinal displacement. Results Ninety-seven eyes (77.6%) were tamponated with SF6 and 28 eyes (22.4%) with SO. After retinal reattachment, displacement was observed in 44 of 125 (35.2%) eyes (40 eyes in the SF6 group and 4 eyes in the SO group, respectively). The type of tamponade, specifically gas, was the only significant predictor of retinal displacement (P = 0.007). The displacement was downward in 39 (88.6%) eyes (36 tamponated with SF6 and 3 with SO) and upward in 5 (11.4%) eyes (4 tamponated with SF6 and 1 with SO). Conclusions Displacement of the retina after repair of macula-off RRD with PPV is observed using either SF6 gas or SO. Downward and upward displacements may occur with both tamponades, but downward dislocation is more common. Of the factors potentially implicated in favoring displacement that were studied, only the type of tamponade, specifically the gas, was significant.