Miracle-dz/UniFAR-FTUs huggingface dataset:
Variational fusion of time-of-flight and stereo data using edge selective joint filtering

In this paper, we propose variational fusion of time-of-flight (TOF) and stereo data using edge selective joint filtering (ESJF). We utilize ESJF to up-sample low-resolution (LR) depth captured by TOF camera and produce high-resolution (HR) depth maps with accurate edge information. First, we measure confidence of two sensor with different reliability to fuse them. Then, we up-sample TOF depth map using ESJF to generate discontinuity maps and protect edges in depth. Finally, we perform variational fusion of TOF and stereo depth data based on total variation (TV) guided by discontinuity maps. Experimental results show that the proposed method successfully produces HR depth maps and outperforms the-state-of-the-art ones in preserving edges and removing noise.
FoxO1 Is Required for Most of the Metabolic and Hormonal Perturbations Produced by Hepatic Insulin Receptor Deletion in Male Mice

Insulin coordinates the complex response to feeding, affecting numerous metabolic and hormonal pathways. Forkhead box protein O1 (FoxO1) is one of several signaling molecules downstream of insulin; FoxO1 drives gluconeogenesis and is suppressed by insulin. To determine the role of FoxO1 in mediating other actions of insulin, we studied mice with hepatic deletion of the insulin receptor, FoxO1, or both. We found that mice with deletion of the insulin receptor alone showed not only hyperglycemia but also a 70% decrease in plasma insulin-like growth factor 1 and delayed growth during the first 2 months of life, a 24-fold increase in the soluble leptin receptor and a 19-fold increase in plasma leptin levels. Deletion of the insulin receptor also produced derangements in fatty acid metabolism, with a decrease in the expression of the lipogenic enzymes, hepatic diglycerides, and plasma triglycerides; in parallel, it increased expression of the fatty acid oxidation enzymes. Mice with deletion of both insulin receptor and FoxO1 showed a much more modest phenotype, with normal or near-normal glucose levels, growth, leptin levels, hepatic diglycerides, and fatty acid oxidation gene expression; however, lipogenic gene expression remained low. Taken together, these data reveal the pervasive role of FoxO1 in mediating the effects of insulin on not only glucose metabolism but also other hormonal signaling pathways and even some aspects of lipid metabolism.
Efficacy of an internet-based intervention for burnout: a randomized controlled trial in the German working population

ABSTRACT Background and Objectives: Internet-based interventions are a viable treatment option for various mental problems. However, their effects on the burnout syndrome yielded mixed results. In this paper, we examine the efficacy of a structured and therapist-guided internet intervention, based on solution-focused and cognitive-behavioral therapy, for individuals with symptoms of burnout. Design: Two-arm, Internet-based, randomized, wait-list controlled trial (RCT). Methods: Participants were recruited through in-house events and online advertising. They were randomly assigned to the intervention or a wait-list. Group comparison was conducted three months after randomization. Outcomes were the burnout level according to the Maslach Burnout Inventory (MBI-GS) and the levels of depression, anxiety and stress according to the DASS-21. Results: Thirty-nine participants were included in the trial; 36 (92.3%) took part at the 3-months-follow-up. Intention-to-treat analyses revealed significant group differences in favor of the intervention group in depression (d = 0.66), cynicism (d = 0.87) and personal accomplishment (d = 0.75). Conclusions: The intervention helped ameliorate symptoms of work-related stress and burnout. Although limited by a small sample size, the study suggests that the program provides effective support for affected individuals. However, further studies with bigger sample sizes should be conducted to examine the effects of such programs more precisely.
Does a six-month pedometer intervention improve physical activity and health among vulnerable African Americans? A feasibility study.

BACKGROUND Race/ethnic-specific physical activity patterns and biological responses to physical activity is one of the most understudied, yet critical aspects related to the development and adoption of physical activity recommendations. METHODS In this 6-month community walking intervention targeting African Americans, participants wore a pedometer and maintained a pedometer diary for the study duration. Outcome measures included height, weight, percent body fat, waist circumference, blood pressure, lipids and glucose. ANOVA, Pearson Correlations, and Kruskal-Wallis tests were used to examine changes in steps/day over each month of the intervention and explore associations among pedometer-determined physical activity and anthropometric/biological change scores from month 1 to 6. RESULTS The 83 participants were primarily African American (98%) women (94%). There was a significant increase in the average step/day beginning with 6665 (SD = 3396) during month 1 and increasing to 9232 (SD = 3670) steps/day during month 6 (F = 4.5, P < .0001). Associations among step counts and anthropometric/biological change scores were not significant. CONCLUSIONS While this intervention resulted in significant increases in steps/day; it exemplifies that physical activity standards may be unachievable for some vulnerable, minority communities. Methodological considerations for exploring associations between changes in pedometer-determined step counts and anthropometric/biological outcomes are emphasized through this study.
Learning Spatial and Temporal Extents of Human Actions for Action Detection

For the problem of action detection, most existing methods require that relevant portions of the action of interest in training videos have been manually annotated with bounding boxes. Some recent works tried to avoid tedious manual annotation , and proposed to automatically identify the relevant portions in training videos. However, these methods only concerned the identification in either spatial or temporal domain, and may get irrelevant contents from another domain. These irrelevant contents are usually undesirable in the training phase, which will lead to a degradation of the detection performance. This paper advances prior work by proposing a joint learning framework to simultaneously identify the spatial and temporal extents of the action of interest in training videos. To get pixel-level localization results, our method uses dense trajectories extracted from videos as local features to represent actions. We first present a trajectory split-and-merge algorithm to segment a video into the background and several separated foreground moving objects. In this algorithm, the inherent temporal smoothness of human actions is exploited to facilitate segmentation. Then, with the latent SVM framework on segmentation results, spatial and temporal extents of the action of interest are treated as latent variables that are inferred simultaneously with action recognition. Experiments on two challenging datasets show that action detection with our learned spatial and temporal extents is superior than state-of-the-art methods.
Intelligent autonomous handover in iMANETs

Autonomously making good network handover decisions is a complicated process that is fundamentally important in many complex mobile scenarios. In many mobile scenarios it is often infeasible to assume that an end user can be required to intervene and manually perform or verify a network handover decision. For this reason, utilities are required that can specifically manage the network connectivity of mobile nodes, monitoring their constantly changing state and the changing environment around them in order to ensure that the most appropriate connection is utilised at any given time. In this paper we present our Handover Manager that we have developed specifically for use in rescue system mobile networking solutions, such as mountain and coastal rescue, based on our experiences from real use case deployments. In particular we describe the way our solution autonomously manages connections to multiple heterogeneous access network technologies, we provide results from a testbed based analysis we performed and finally we draw upon our experiences to highlight important areas for future consideration that are applicable to our Handover Manager approach and to the wider MANET community in general.
Arylamino Esters As P‐Glycoprotein Modulators: SAR Studies to Establish Requirements for Potency and Selectivity

A set of basic aryl‐group‐containing compounds was synthesized with the aim of developing potent and selective P‐glycoprotein (P‐gp) modulators that are able to reverse multidrug resistance (MDR). The natures of the spacer (dicyclohexylamine or dialkylamine) and the aryl moieties were modified to investigate selectivity and the mechanism of P‐gp interaction. The inhibitory activities of the compounds toward P‐gp, multidrug resistance‐associated protein 1 (MRP1), and breast cancer resistance protein (BCRP), the most relevant ATP binding cassette (ABC) transporters for MDR, were evaluated. The mechanism of P‐gp interaction for each compound was investigated with three biological assays: apparent permeability (Papp) determination (B→A/A→B) in Caco‐2 cell monolayers, ATP cell depletion, and inhibition of Calcein‐AM transport in MDCK‐MDR1 cells. These assays allowed us to estimate the selectivity of the compounds for the three efflux pumps and to identify the structural requirements that define the P‐gp‐interaction profile. All dicyclohexylamine derivatives were found to be P‐gp substrates, whereas one dialkylamine derivative was shown to be a P‐gp inhibitor. The good MRP1 activity of one cis/cis isomer highlighted this as a lead candidate for the development of MRP1 ligands.
An Adaptive-Gain Sliding Mode Observer for Sensorless Control of Permanent Magnet Linear Synchronous Motors

In this paper, a novel adaptive-gain sliding mode observer (SMO) is designed for sensorless control of permanent magnet linear synchronous motors (PMLSMs). By the proposed adaptive-gain algorithm, the gain can dynamically adapt to a changing operation condition of the PMLSMs and reach an appropriate value in finite time. Stability of the SMO is proved by using Lyapunov stability theory. Compared with the traditional SMO, the adaptive-gain SMO can improve the control precision, especially when the operation condition is not invariant. Simulation results are given to show the advantages of the proposed method.
Metabolites Associated With Risk of Developing Mobility Disability in the Health, Aging and Body Composition Study

Background Metabolic pathways that give rise to functional decline and mobility disability in older adults are incompletely understood. Methods To identify metabolic perturbations that may affect functional decline, nontargeted metabolomics was used to measure 350 metabolites in baseline plasma from 313 black men in the Health ABC Study (median age 74 years). Usual gait speed was measured over 20 m. Cross-sectional relationships between gait speed and metabolites were explored with partial correlations adjusted for age, study site, and smoking status. Risk of incident mobility disability (two consecutive reports of severe difficulty walking quarter mile or climb 10 stairs) over 13 years of follow-up was explored with Cox regression models among 307 men who were initially free of mobility disability. Significance was determined at p ≤ . 01 and q (false discovery rate) ≤ 0.30. Results Two metabolites were correlated with gait speed: salicylurate (r = -.19) and 2-hydroxyglutarate (r = -.18). Metabolites of amino acids and amino acid degradation (indoxy sulfate; hazard ratio [HR] = 1.48, 95% confidence interval [CI] = 1.09-2.03, symmetric dimethylarginine; HR = 3.58, 95% CI = 1.57-8.15, N-carbamoyl beta-alanine; HR = 1.91, 95% CI = 1.16-3.14, quinolinate; HR = 2.56, 95% CI = 1.65-3.96) and metabolites related to kidney function (aforementioned symmetric dimethylarginine and indoxy sulfate as well as creatinine; HR = 5.91, 95% CI = 2.06-16.9, inositol; HR = 2.70, 95% CI = 1.47-4.97) were among the 23 metabolites associated with incident mobility disability. Conclusions This study highlights the potential role of amino acid derivatives and products and kidney function early in the development of mobility disability and suggests metabolic profiles could help identify individuals at risk of functional decline.
Is Vertical Jump Height an Indicator of Athletes' Power Output in Different Sport Modalities?

Abstract Kons, RL, Ache-Dias, J, Detanico, D, Barth, J, and Dal Pupo, J. Is vertical jump height an indicator of athletes' power output in different sports modalities? J Strength Cond Res 32(3): 708–715, 2018—This study aimed to identify whether the ratio standard is adequate for the scaling of peak power output (PPO) for body mass (BM) in athletes of different sports and to verify classification agreement for athletes involved in different sports using PPO scaled for BM and jump height (JH). One hundred and twenty-four male athletes divided into 3 different groups—combat sports, team sports, and runners—participated in this study. Participants performed the countermovement jump on a force plate. Peak power output and JH were calculated from the vertical ground reaction force. We found different allometric exponents for each modality, allowing the use of the ratio standard for team sports. For combat sports and runners, the ratio standard was not considered adequate, and therefore, a specific allometric exponent for these 2 groups was found. Significant correlations between adjusted PPO for BM (PPOADJ) and JH were found for all modalities, but it was higher for runners (r = 0.81) than team and combat sports (r = 0.63 and 0.65, respectively). Moderate agreement generated by the PPOADJ and JH was verified in team sports (k = 0.47) and running (k = 0.55) and fair agreement in combat sports (k = 0.29). We conclude that the ratio standard seems to be suitable only for team sports; for runners and combat sports, an allometric model seems adequate. The use of JH as an indicator of power output may be considered reasonable only for runners.
Abnormal leakage of energy in battery-based IoT-devices

Majority of devices in IoT are low power, small and battery operated. These devices are energy constrained. Minor energy leakage can significantly impact device lifetime. A key challenge is to secure IoT devices from battery exhaustion exploits. In this paper we propose a battery exhaustion exploit that performs anomalous drainage of battery energy by exploiting Resource Observation feature of Constrained Application Protocol (CoAP), an application layer protocol in IoT Protocol stack. Our work is the first attempt in modelling and studying the anomalous battery drainage at CoAP-server. We have designed an experimental IoT testbed to develop and test abnormal energy side-leakage in IoT devices. The experiment results demonstrate the effectiveness of the attack to abnormally escalate battery energy usage.
TSC loss distorts DNA replication programme and sensitises cells to genotoxic stress

Tuberous Sclerosis (TSC) is characterized by exorbitant mTORC1 signalling and manifests as non-malignant, apoptosis-prone neoplasia. Previous reports have shown that TSC-/- cells are highly susceptible to mild, innocuous doses of genotoxic stress, which drive TSC-/- cells into apoptotic death. It has been argued that this hypersensitivity to stress derives from a metabolic/energetic shortfall in TSC-/- cells, but how metabolic dysregulation affects the DNA damage response and cell cycle alterations in TSC-/- cells exposed to genotoxic stress is not understood. We report here the occurrence of futile checkpoint responses and an unusual type of replicative stress (RS) in TSC1-/- fibroblasts exposed to low-dose genotoxins. This RS is characterized by elevated nucleotide incorporation rates despite only modest origin over-firing. Strikingly, an increased propensity for asymmetric fork progression and profuse chromosomal aberrations upon mild DNA damage confirmed that TSC loss indeed proved detrimental to stress adaptation. We conclude that low stress tolerance of TSC-/- cells manifests at the level of DNA replication control, imposing strong negative selection on genomic instability that could in turn detain TSC-mutant tumours benign.
Role of Shape in the Self-Assembly of Anisotropic Colloids.

Self-assembly is the process of spontaneous organization of a set of interacting components colloidal particles in suspension interacting with one another can organize into crystals, gels, glasses and even primitive devices on the microscale. We examine how particle shape one of many possible interparticle interactions drives the self-assembly of colloids in three different colloidal systems. When particles interact only via their shape, entropic crystallization can occur; we discuss a design strategy for creating hard, polyhedral particles that entropically stabilize arbitrary crystal structures. As a strategy for targeting novel crystal structures, we examine the use of Voronoi particles, which are hard, space-filling particles in the shape of Voronoi cells of a target structure. Although Voronoi particles stabilize their target structure in the limit of high pressure by construction, the thermodynamic assembly of the same structure at moderate pressure, close to the onset of crystallization, is not guaranteed. Indeed, we find that a more symmetric crystal is often preferred due to additional entropic contributions of several kBT arising from configurational or occupational degeneracy. We characterize the assembly behavior of the Voronoi particles in terms of the symmetries of the building blocks as well as the symmetries of crystal structures and demonstrate how controlling the degeneracies through a modification of particle shape and field-directed assembly can significantly improve the assembly propensity. With the addition of non-adsorbing, polymer depletants, hard colloids experience an emergent attraction dependent on polymer concentration, the form of which is dictated by the colloid shape; we study a system of oblate, spheroidal colloids that self-assemble
Phagocyte depletion inhibits AA amyloid accumulation in AEF-induced huIL-6 transgenic mice

Abstract Objective: Determine the role of phagocytosis in the deposition of acute phase SAA protein in peripheral organs as AA amyloid. Methods: AA amyloidosis was induced by injection of amyloid enhancing factor (AEF) in huIL-6 transgenic mice. Clodronate liposomes were injected at different times, and the amyloid load evaluated by Congo red birefringence staining and monitoring with the amyloid specific probe 125I-labeled peptide p5R. Results: Injection of clodronate containing liposomes depleted Iba-1 positive and F4/80 positive phagocytic cells in liver and spleen for up to 5 days. Treatment prior to administration of intravenous AEF did not alter the pattern of deposition of the AEF in spleen, but inhibited the catabolism of the 125I-labeled AEF. Clodronate treatment 1 day before or 1 day after AEF administration had little effect on AA amyloid accumulation at 2 weeks; however, mice treated with clodronate liposomes 5 days after AEF induction and evaluated at 2 weeks post-AEF induction showed reduced amyloid load relative to controls. At 6 weeks post-AEF there was no significant effect on amyloid load following a single clodronate treatment. Conclusion: Macrophages have been shown to be instrumental in both accumulation and clearance of AA amyloid after cessation of inflammation. Our data indicate that when SAA protein is continuously present, depletion of phagocytic cells during the early course of the disease progression temporarily reduces amyloid load.
The Indirect Efficacy Comparison of DNA Methylation in Sputum for Early Screening and Auxiliary Detection of Lung Cancer: A Meta-Analysis

Background: DNA methylation in sputum has been an attractive candidate biomarker for the non-invasive screening and detection of lung cancer. Materials and Methods: Databases including PubMed, Ovid, Cochrane library, Web of Science databases, Chinese Biological Medicine (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang, Vip Databases and Google Scholar were searched to collect the diagnostic trials on aberrant DNA methylation in the screening and detection of lung cancer published until 1 December 2016. Indirect comparison meta-analysis was used to evaluate the diagnostic value of the included candidate genes. Results: The systematic literature search yielded a total of 33 studies including a total of 4801 subjects (2238 patients with lung cancer and 2563 controls) and covering 32 genes. We identified that methylated genes in sputum samples for the early screening and auxiliary detection of lung cancer yielded an overall sensitivity of 0.46 (0.41–0.50) and specificity of 0.83 (0.80–0.86). Combined indirect comparisons identified the superior gene of SOX17 (sensitivity: 0.84, specificity: 0.88), CDO1 (sensitivity: 0.78, specificity: 0.67), ZFP42 (sensitivity: 0.87, specificity: 0.63) and TAC1 (sensitivity: 0.86, specificity: 0.75). Conclusions: The present meta-analysis demonstrates that methylated SOX17, CDO1, ZFP42, TAC1, FAM19A4, FHIT, MGMT, p16, and RASSF1A are potential superior biomarkers for the screening and auxiliary detection of lung cancer.
A study of FMQ heuristic in cooperative multi-agent games

The article focuses on decentralized reinforcement learning (RL) in cooperative multi-agent games, where a team of independent learning agents (ILs) try to coordinate their individual actions to reach an optimal joint action. Within this framework, some algorithms based on Q-learning are proposed in recent works. Especially, we are interested in Distributed Q-learning which finds optimal policies in deterministic games, and in the Frequency Maximum Q value (FMQ) heuristic which is able in partially stochastic matrix games to distinguish if a poor reward received for the same action are due to either miscoordination or to the noisy reward function. Making this distinction is one of the main difficulties to solve stochastic games. Our objective is to find an algorithm able to switch over the updates according to a detection of the cause of noise. In this paper, a modified version of the FMQ heuristic is proposed which achieves this detection and the update adaptation. Moreover, this modif ied FMQ version is more robust and very easy to set.
Non-local similarity based tensor decomposition for hyperspectral image denoising

Compared to traditional color or grayscale images, hyperspectral image (HSI) can help deliver more faithful representation of ground objects and enhance the performance of many computer vision tasks. However, an HSI is often corrupted by various noises, which has serious impact on the subsequent processing. Considering the non-local similarity across spatial domain and global similarity along spectral domain, a novel denoising method based on tensor decomposition is proposed in this paper. Firstly, 3D full band patches extracted from the HSI are grouped to form a 4th-order tensor by utilizing the non-local similarity in a proper window size. Then the task of hyperspectral image denoising is transformed into a high order tensor approximation problem, which can be efficiently solved by alternating optimization. An iterative denoising strategy is adopted for better effect in practice. Experimental results on simulated and real HSI data show that the proposed algorithm outperforms several state-of-the-art methods.