Miracle-dz/UniFAR-FTUs huggingface dataset:
An Experimental Demonstration of a Distributed and Event-Based State Estimation Algorithm

Abstract A distributed state estimation algorithm that makes use of model-based predictions to reduce communication requirements in a networked control architecture is tested on an unstable system. A cube balancing on one of its edges serves as the test platform, and six rotating bodies on the cube's inner faces constitute the agents in the control network. Each agent carries a computational unit, which runs estimation and control algorithms, and is associated with local sensors and an actuator. Measurement data is shared among the agents over a broadcast network. Each agent maintains two estimates of the system state: the first reflecting the common knowledge in the network, and the second additionally including all local sensor information. An agent's sensor measurement is only broadcast if it deviates from the common estimate of that measurement by more than a specified threshold. Experimental results show that the number of communicated measurements required for stabilizing the system can be significantly reduced with this event-based communication protocol.
Excipient Nanoemulsions for Improving Oral Bioavailability of Bioactives

The oral bioavailability of many hydrophobic bioactive compounds found in natural food products (such as vitamins and nutraceuticals in fruits and vegetables) is relatively low due to their low bioaccessibility, chemical instability, or poor absorption. Most previous research has therefore focused on the design of delivery systems to incorporate isolated bioactive compounds into food products. However, a more sustainable and cost-effect approach to enhancing the functionality of bioactive compounds is to leave them within their natural environment, but specifically design excipient foods that enhance their bioavailability. Excipient foods typically do not have functionality themselves but they have the capacity to enhance the functionality of nutrients present in natural foods by altering their bioaccessibility, absorption, and/or chemical transformation. In this review article we present the use of excipient nanoemulsions for increasing the bioavailability of bioactive components from fruits and vegetables. Nanoemulsions present several advantages over other food systems for this application, such as the ability to incorporate hydrophilic, amphiphilic, and lipophilic excipient ingredients, high physical stability, and rapid gastrointestinal digestibility. The design, fabrication, and application of nanoemulsions as excipient foods will therefore be described in this article.
Comparable effects of exercise and analgesics for pain secondary to knee osteoarthritis: a meta-analysis of trials included in Cochrane systematic reviews.

AIM Evidence of comparative effectiveness of different treatment approaches is important for clinical decision-making, yet absent for most recommended treatments of knee osteoarthritis pain. The objective of this study was to estimate the comparative effectiveness of exercise versus orally administered analgesics for pain in patients with knee osteoarthritis. METHODS The Cochrane Database of systematic reviews was searched for meta-analyses of randomized controlled studies comparing exercise or analgesics with a control group (placebo or usual care) and with pain as an outcome. Individual study estimates were identified and effect sizes were calculated from group differences. We combined study-level effects on pain with a random effects meta-analysis and compared effect sizes between exercise trials and trials with analgesic interventions. RESULTS We included six Cochrane reviews (four pharmacology, two exercise). From these, 54 trials were eligible (20 pharmacology, 34 exercise), with 9806 participants (5627 pharmacology, 4179 exercise). The pooled effect size of pharmacological pain interventions was 0.41 (95% CI: 0.23-0.59) and for exercise 0.46 standardized mean difference (95% CI: 0.34-0.59). There was no statistically significant difference between the two types of intervention (difference: 0.06 standardized mean difference [95% CI: -0.28-0.16; p = 0.61]). CONCLUSION This meta-epidemiological study provides indirect evidence that for knee osteoarthritis pain, the effects from exercise and from oral analgesics are comparable. These results may support shared decision-making where a patient for some reason is unable to exercise or who consider exercise as unviable and analgesics as a more feasible choice. PROSPERO registration: CRD42013006924.
Managerial Risk-Taking Behavior and Equity-Based Compensation

I study managers' risk-taking behavior and how it is affected by equity-based compensation. I find that in response to an exogenous increase in takeover protection in Delaware during the mid-1990s, managers lower firm risk by 5%. I also find that the decrease in firm risk is concentrated among firms with low managerial equity-based incentives. In particular, firms with low CEO portfolio sensitivity to stock return volatility experience more than 10% reduction in risk. Further, firms respond to the increased protection accorded by the regime shift with greater incentives for risk-taking.
Mechanism and Simulation of Removal Rate and Surface Roughness During Optical Polishing of Glasses

Glass optics with ultra-low roughness surfaces (<2 A rms) are strongly desired for high-end optical applications (e.g., lasers, spectroscopy, etc.). The complex microscopic interactions that occur between slurry particles and the glass workpiece during optical polishing ultimately determine the removal rate and resulting surface roughness of the workpiece. In this study, a comprehensive set of 100 mm diameter glass samples (fused silica, phosphate, and borosilicate) were polished using various slurry particle size distributions (PSD), slurry concentrations, and pad treatments. The removal rate and surface roughness of the glasses were characterized using white light interferometry and atomic force microscopy. The material removal mechanism for a given slurry particle is proposed to occur via nano-plastic deformation (plastic removal) or via chemical reaction (molecular removal) depending on the slurry particle load on the glass surface. Using an expanded Hertzian contact model, called the Ensemble Hertzian Multi-gap (EHMG) model, a platform has been developed to understand the microscopic interface interactions and to predict trends of the removal rate and surface roughness for a variety of polishing parameters. The EHMG model is based on multiple Hertzian contacts of slurry particles at the workpiece–pad interface in which the pad deflection and the effective interface gap at each pad asperity height are determined. Using this, the interface contact area and each particle’s penetration, load, and contact zone are determined which are used to calculate the material removal rate and simulate the surface roughness. Each of the key polishing variables investigated is shown to affect the material removal rate, whose changes are dominated by very different microscopic interactions. Slurry PSD impacts the load per particle distribution and the fraction of particles removing material by plastic removal. The slurry concentration impacts the areal number density of particles and fraction of load on particles versus pad. The pad topography impacts the fraction of pad area making contact with the workpiece. The glass composition predominantly impacts the depth of plastic removal. Also, the results show that the dominant factor controlling surface roughness is the slurry PSD followed by the glass material’s removal function and the pad topography. The model compares well with the experimental data over a variety of polishing conditions for both removal rate and roughness and can be extended to provide insights and strategies to develop practical, economic processes for obtaining ultra-low roughness surfaces while simultaneously maintaining high material removal rates.
Dominant Tree Species and Soil Type Affect the Fungal Community Structure in a Boreal Peatland Forest

ABSTRACT Boreal peatlands play a crucial role in global carbon cycling, acting as an important carbon reservoir. However, little information is available on how peatland microbial communities are influenced by natural variability or human-induced disturbances. In this study, we have investigated the fungal diversity and community structure of both the organic soil layer and buried wood in boreal forest soils using high-throughput sequencing of the internal transcribed spacer (ITS) region. We have also compared the fungal communities during the primary colonization of wood with those of the surrounding soils. A permutational multivariate analysis of variance (PERMANOVA) confirmed that the community composition significantly differed between soil types (P < 0.001) and tree species (P < 0.001). The distance-based linear models analysis showed that environmental variables were significantly correlated with community structure (P < 0.04). The availability of soil nutrients (Ca [P = 0.002], Fe [P = 0.003], and P [P = 0.003]) within the site was an important factor in the fungal community composition. The species richness in wood was significantly lower than in the corresponding soil (P < 0.004). The results of the molecular identification were supplemented by fruiting body surveys. Seven of the genera of Agaricomycotina identified in our surveys were among the top 20 genera observed in pyrosequencing data. Our study is the first, to our knowledge, fungal high-throughput next-generation sequencing study performed on peatlands; it further provides a baseline for the investigation of the dynamics of the fungal community in the boreal peatlands.
Prevalence of diabetic retinopathy among self-reported adult diabetics in districts of Eastern Nepal in a community based study.

INTRODUCTION Diabetic retinopathy (DR) is the leading cause of blindness among working age adults around the world. Each year more and more people live with this condition, which can result in life-changing complications. OBJECTIVE To determine the prevalence and risk factors of diabetic retinopathy (DR) in a large community based screening programme, in order to estimate the future burden of the disease. MATERIALS AND METHODS A cross sectional community based study was conducted between 1st January and 31st December 2014 in a purposive sample of adults with selfreported diabetes mellitus (DM) from Morang and Sunsari district of Nepal. A structured questionnaire was used to collect patient data. Ophthalmological evaluation was done and fundus was examined for grading DR using direct and indirect ophthalmoscope. RESULTS Among the 698 diabetic patients, mean age was 55.02±11.8 years (ranging from 24 to 91 years). 12.3% of diabetic were not under any treatment. Only 69.3% of patients had visited eye specialist for diabetic retinopathy screening. Prevalence of DR was found to be 15.3%; 13.9% had non-proliferative DR and 1.4% had proliferative DR. Prevalence of diabetic macular edema was 2.1%. In Morang district prevalence of DR was 14.2% and in Sunsari district it was 16.2%. In the binary-logistic regression analysis, duration of diabetes was associated with significantly increased risk of DR (OR: 1.13; 95% confidence interval (CI), 1.09 to 1.17; p<0.001). History of absence of arterial hypertension decreased the risk of DR (OR: 0.56; 95% CI, 0.36 to 0.87; p=0.01). CONCLUSION One sixth of the patients with diabetes in the Eastern region of Nepal have retinopathy. Diabetic retinopathy risk increased with duration of diabetes and decreased with history of no co-existing arterial hypertension.
Application of High-Performance Liquid Chromatography Coupled with Linear Ion Trap Quadrupole Orbitrap Mass Spectrometry for Qualitative and Quantitative Assessment of Shejin-Liyan Granule Supplements

A method for high-performance liquid chromatography coupled with linear ion trap quadrupole Orbitrap high-resolution mass spectrometry (HPLC-LTQ-Orbitrap MS) was developed and validated for the qualitative and quantitative assessment of Shejin-liyan Granule. According to the fragmentation mechanism and high-resolution MS data, 54 compounds, including fourteen isoflavones, eleven ligands, eight flavonoids, six physalins, six organic acids, four triterpenoid saponins, two xanthones, two alkaloids, and one licorice coumarin, were identified or tentatively characterized. In addition, ten of the representative compounds (matrine, galuteolin, tectoridin, iridin, arctiin, tectorigenin, glycyrrhizic acid, irigenin, arctigenin, and irisflorentin) were quantified using the validated HPLC-LTQ-Orbitrap MS method. The method validation showed a good linearity with coefficients of determination (r2) above 0.9914 for all analytes. The accuracy of the intra- and inter-day variation of the investigated compounds was 95.0–105.0%, and the precision values were less than 4.89%. The mean recoveries and reproducibilities of each analyte were 95.1–104.8%, with relative standard deviations below 4.91%. The method successfully quantified the ten compounds in Shejin-liyan Granule, and the results show that the method is accurate, sensitive, and reliable.
Theory of cortical function

Significance A unified theory of cortical function is proposed for guiding both neuroscience and artificial intelligence research. The theory offers an empirically testable framework for understanding how the brain accomplishes three key functions: (i) inference: perception is nonconvex optimization that combines sensory input with prior expectation; (ii) exploration: inference relies on neural response variability to explore different possible interpretations; (iii) prediction: inference includes making predictions over a hierarchy of timescales. These three functions are implemented in a recurrent and recursive neural network, providing a role for feedback connections in cortex, and controlled by state parameters hypothesized to correspond to neuromodulators and oscillatory activity. Most models of sensory processing in the brain have a feedforward architecture in which each stage comprises simple linear filtering operations and nonlinearities. Models of this form have been used to explain a wide range of neurophysiological and psychophysical data, and many recent successes in artificial intelligence (with deep convolutional neural nets) are based on this architecture. However, neocortex is not a feedforward architecture. This paper proposes a first step toward an alternative computational framework in which neural activity in each brain area depends on a combination of feedforward drive (bottom-up from the previous processing stage), feedback drive (top-down context from the next stage), and prior drive (expectation). The relative contributions of feedforward drive, feedback drive, and prior drive are controlled by a handful of state parameters, which I hypothesize correspond to neuromodulators and oscillatory activity. In some states, neural responses are dominated by the feedforward drive and the theory is identical to a conventional feedforward model, thereby preserving all of the desirable features of those models. In other states, the theory is a generative model that constructs a sensory representation from an abstract representation, like memory recall. In still other states, the theory combines prior expectation with sensory input, explores different possible perceptual interpretations of ambiguous sensory inputs, and predicts forward in time. The theory, therefore, offers an empirically testable framework for understanding how the cortex accomplishes inference, exploration, and prediction.
Enabling online learning in lithography hotspot detection with information-theoretic feature optimization

With the continuous shrinking of technology nodes, lithography hotspot detection and elimination in the physical verification phase is of great value. Recently machine learning and pattern matching based methods have been extensively studied to overcome runtime overhead problem of expensive full-chip lithography simulation. However, there is still much room for improvement in terms of accuracy and Overall Detection and Simulation Time (ODST). In this paper, we propose a unified machine learning based hotspot detection framework, where feature extraction and optimization is guided by an information-theoretic approach and solved by a dynamic programming model. More importantly, our framework can be naturally extended to online learning scenario, where some newly detected and verified layout patterns are integrated into the learning model. Experimental results show that the proposed batch detection model outperforms all state-of-the-art methods with 3.47% of accuracy improvement and 58.88% of ODST reduction on ICCAD-2012 contest benchmark suite. More importantly, equipped with online learning, our framework can further improve both accuracy and ODST.
Introduction : trust within organisations

Introduces six empirical studies on trust within organisations which were originally presented at a workshop on “Trust within and between organisations”, organised by the European Institute for Advanced Studies in Management at the Free University Amsterdam, in November 2001. Areas covered include: the legitimacy of the field of study; common understandings and disagreements in theoretical ideas; and directions for future research. In the past decade, issues of trust in interand intra-organisational relationships have been increasing in importance on the agendas of organisational scholars, legitimated by changes in the social structure of societies, economic exchange relations and organisational forms. Given the diminishing binding power of reciprocal obligations (Kramer, 1996), of hierarchical relations (Sheppard and Tuschinsky, 1996) and of social institutions relying on hierarchy to sanction deviant behaviour (De Swaan, 1990) other mechanisms are needed to keep the social fabric of society intact. Due to processes of globalisation, flexibilisation of labour relations, continuous change and virtualisation of organisational forms, relations between people have become looser and behaviours are less easy to monitor nowadays. Within firms, lateral relationships and alliances are growing in importance, in contrast to hierarchical relationships that used to dominate the framing of work relations (Sheppard and Tuschinsky, 1996). Between firms, new linkages are being formed to achieve and maintain competitive advantage in the marketplace. These linkages require organisations to move towards network forms and alliances (Lewicki and Bunker, 1996). Besides, organisational performance becomes increasingly dependent on behaviours such as scanning the environment to explore opportunities, participation in organisational learning processes and helping colleagues to improve their performance. While cooperative behaviours are growing in importance, hierarchy can be less relied upon to bring these behaviours about (Kramer, 1996). Trustful relations between organisational members can promote voluntary cooperation and extra-role behaviours, as the study by Tyler in this volume shows. Increasing instances of organisational change have also contributed to the rise of trust on the research agenda. Conditions of change heighten the relevance of trust to organisational performance and to the well-being of organisational members (Mishra, 1996; Gilkey, 1991). Introduction
Caregiver Self-Esteem as a Predictor of Patient Relationship Satisfaction : A Longitudinal Study

Objective: Longitudinal assessment of patient–caregiver relationships will determine whether caregiver selfesteem determines patient relationship satisfaction at end of life. Background: Research on close relationships and caregiving supports the idea that informal caregivers’ selfesteem may influence their relationships with their terminally ill loved ones. However, this connection has not yet been investigated longitudinally, nor has it been applied specifically to care recipients’ relationship satisfaction. Methods: A sample of 24 caregivers and 24 patients in a hospice home care program were recruited. Multiple patient and caregiver interviews were used to conduct a longitudinal study to measure fluctuations in patient health, changes in patient and caregiver relationship satisfaction, and self-esteem over a three-month period. Results: An interaction between caregiver self-esteem and patient relationship satisfaction demonstrated the role that self-esteem plays between caregivers and patients enrolled in hospice care. Specifically, for patients with caregivers with low self-esteem, patient relationship satisfaction significantly decreased as the patient’s physical health decreased, whereas for patients whose caregivers had high self-esteem, patient relationship satisfaction marginally increased during poorer physical health. Discussion: High self-esteem may allow caregivers to overcome feelings of burden and maladaptive anticipatory grief to remain satisfied in their relationship with the patient. Caregiver self-esteem appears to play a role in fostering patient relationship satisfaction at the end of life.
Structural and functional analysis of Utp24, an endonuclease for processing 18S ribosomal RNA

The precursor ribosomal RNA is processed by multiple steps of nucleolytic cleavage to generate mature rRNAs. Utp24 is a PIN domain endonuclease in the early 90S precursor of small ribosomal subunit and is proposed to cleave at sites A1 and A2 of pre-rRNA. Here we determine the crystal structure of Utp24 from Schizosaccharomyces pombe at 2.1 angstrom resolution. Utp24 structurally resembles the ribosome assembly factor Utp23 and both contain a Zn-finger motif. Functional analysis in Saccharomyces cerevisiae shows that depletion of Utp24 disturbs the assembly of 90S and abolishes cleavage at sites A0, A1 and A2. The 90S assembled with inactivated Utp24 is arrested at a post-A0-cleavage state and contains enriched nuclear exosome for degradation of 5' ETS. Despite of high sequence conservation, Utp24 from other organisms is unable to form an active 90S in S. cerevisiae, suggesting that Utp24 needs to be precisely positioned in 90S. Our study provides biochemical and structural insight into the role of Utp24 in 90S assembly and activity.