Miracle-dz/UniFAR-FTUs huggingface dataset:
Dendritic Polymers for Theranostics

Dendritic polymers are highly branched polymers with controllable structures, which possess a large population of terminal functional groups, low solution or melt viscosity, and good solubility. Their size, degree of branching and functionality can be adjusted and controlled through the synthetic procedures. These tunable structures correspond to application-related properties, such as biodegradability, biocompatibility, stimuli-responsiveness and self-assembly ability, which are the key points for theranostic applications, including chemotherapeutic theranostics, biotherapeutic theranostics, phototherapeutic theranostics, radiotherapeutic theranostics and combined therapeutic theranostics. Up to now, significant progress has been made for the dendritic polymers in solving some of the fundamental and technical questions toward their theranostic applications. In this review, we briefly summarize how to control the structures of dendritic polymers, the theranostics-related properties derived from their structures and their theranostics-related applications.
On robust stability and set invariance of switched linear parameter varying systems

In this paper, we address the problem of robust stability and set invariance of switched linear parameter varying (LPV) systems affected by bounded disturbances. A switched LPV system is a collection of single LPV subsystems with a switching rule that decides which subsystem is active at each time. This framework is useful for LPV systems with large parameter variation range for which it may be difficult to assess or guarantee stability over the whole parameter range. Our first contribution is to derive a result for a single LPV system that extends and generalises previous work for switched systems. Our second, and main, contribution is to apply this seed result in the derivation of dwell-time-type conditions on the switched-LPV switching rule, which ensure robust closed-loop stability and set invariance of the trajectories of the switched-LPV system across the whole parameter range. As an application of the results, we consider the problem of reference tracking for LPV systems using switched LPV state feedback and feedforward from an LPV reference system. Two examples are presented to illustrate the results: a two-mass-spring system with a varying spring characteristic and the nonlinear model of a coupled-tank system which is embedded into a switched LPV system description.
Brain regional distribution of endocannabinoids: implications for their biosynthesis and biological function.

The amounts, in nine different rat brain regions, of the two endocannabinoids, anandamide (arachidonoylethanolamide, AEA) and 2-arachidonoylglycerol (2-AG), and of the putative AEA precursor N-arachidonoyl-phosphatidylethanolamine (NArPE), were determined by isotope-dilution gas chromatography-mass spectrometry and compared to the number of cannabinoid binding sites in each region. The distribution of NArPE, reported here for the first time, exhibited a good correlation with that of AEA, the former metabolite being 3-13 times more abundant than the endocannabinoid in all regions. The highest amounts of both metabolites (up to 358.5 and 87 pmol/g wet weight tissue, respectively) were found in the brainstem and striatum, and the lowest in the diencephalon, cortex, and cerebellum. These data support the hypothesis that, in the brain, AEA is a metabolic product of NArPE and may reach levels compatible with its proposed neuromodulatory function. The brain distribution of 2-AG, also described in this study for the first time, was found to correlate with that of AEA with levels ranging from 2.0 to 14.0 nmol/g (in the diencephalon and brainstem, respectively). The distribution of the endocannabinoids did not match exactly with that of cannabinoid binding sites, suggesting either that these compounds are not necessarily produced near their molecular targets, or that they play functional roles additional to the activation of cannabinoid receptors. Regional differences in the ligand/receptor ratios may also lead to predict corresponding differences in the efficiency of receptor activation, as shown by previous studies.
Near optimal design of multi-level WSNs for environmental monitoring

In this paper, we present two approximation algorithms for near-optimal design of hierarchical wireless sensor networks (WSNs) in environmental monitoring applications. Since the problem of our interest is NP-hard, we design two approximation algorithms for this problem. The first algorithm is a natural bottom-up algorithm that uses an approximation algorithm of the k-median problem with approximation ratio ρ. The second algorithm is a less obvious, top-down algorithm that also uses the same ρ-approximation algorithm. We show that the bottom-up algorithm is a ((ρ + 1)p - 1)-approximation algorithm, where p is the number of levels in the hierarchy, while the top-down algorithm is a 3ρ- approximation. That is, the performance of the top-down algorithm does not depend on p. Our experimental results show that these two algorithms perform very well, with the top-down algorithm being superior.
LocationSafe: granular location privacy for IoT devices

Today, mobile data owners lack consent and control over the release and utilization of their location data. Third party applications continuously process and access location data without data owners granular control and without knowledge of how location data is being used. The proliferation of GPS enabled IoT devices will lead to larger scale abuses of trust. In this paper we present the first design and implementation of a privacy module built into the GPSD daemon. The GPSD daemon is a low-level GPS interface that runs on GPS enabled devices. The integration of the privacy module ensures that data owners have granular control over the release of their GPS location. We describe the design of our privacy module integration into the GPSD daemon.
Delayed-Onset Cytomegalovirus Disease Coded During Hospital Readmission After Kidney Transplantation

Background Use of prophylactic anti-CMV therapy for 3 to 6 months after kidney transplantation can result in delayed-onset CMV disease. We hypothesized that delayed-onset CMV disease (occurring >100 days posttransplant) occurs more commonly than early-onset CMV disease and that it is associated with death. Methods We assembled a retrospective cohort of 15,848 adult kidney transplant recipients using 2004 to 2010 administrative data from the California and Florida Healthcare Cost and Utilization Project State Inpatient Databases. We identified demographic data, comorbidities, CMV disease coded during readmission, and inpatient death. We used multivariate Cox proportional hazards modeling to determine risk factors for delayed-onset CMV disease and inpatient death. Results Delayed-onset CMV disease was identified in 4.0%, and early-onset CMV disease was identified in 1.2% of the kidney transplant recipients. Risk factors for delayed-onset CMV disease included previous transplant failure or rejection (HR 1.4) and residence in the lowest-income ZIP codes (HR 1.2). Inpatient death was associated with CMV disease occurring 101 to 365 days posttransplant (HR 1.5), CMV disease occurring greater than 365 days posttransplant (HR 2.1), increasing age (by decade: HR 1.5), nonwhite race (HR 1.2), residence in the lowest-income ZIP codes (HR 1.2), transplant failure or rejection (HR 3.2), previous solid organ transplant (HR 1.7), and several comorbidities. Conclusion These data showed that delayed-onset CMV disease occurred more commonly than early-onset CMV disease and that transplant failure or rejection is a risk factor for delayed-onset CMV disease. Further research should be done to determine if delayed-onset CMV disease is independently associated with death.
Huperzine A for treatment of cognitive impairment in major depressive disorder: a systematic review of randomized controlled trials

Background Acetylcholinesterase (AChE) inhibitors have been shown to be effective in treating cognitive impairment in animal models and in human subjects with major depressive disorder (MDD). Huperzine A (HupA), a Traditional Chinese Medicine derived from a genus of clubmosses known as Huperzineserrata, is a powerful AChE inhibitor that has been used as an adjunctive treatment for MDD, but no meta-analysis on HupA augmentation for MDD has yet been reported. Aim Conduct a systematic review and meta-analysis of randomized controlled trials (RCTS) about HupA augmentation in the treatment of MDD to evaluate its efficacy and safety. Methods Two evaluators independently searched nine English-language and Chinese-language databases, selected relevant studies that met pre-determined inclusion criteria, extracted data about outcome and safety, and conducted quality assessments and data synthesis. Results Three low-quality RCTs (pooled n=238) from China were identified that compared monotherapy antidepressant treatment for depression versus combined treatment with antidepressants and HupA. Participants in the studies ranged from 16 to 60 years of age. The average duration of adjunctive antidepressant and HupA treatment in the studies was only 6.7 weeks. All three studies were open label and non-blinded, so their overall quality was judged as poor. Meta-analysis of the pooled sample found no significant difference in the improvement in depressive symptoms between the two groups (weighted mean difference: -1.90 (95%CI: -4.23, 0.44), p=0.11). However, the adjunctive HupA group did have significantly greater improvement than the antidepressant only group in cognitive functioning (as assessed by the Wisconsin Card Sorting Test and the Wechsler Memory Scale-Revised) and in quality of life. There was no significant difference in the incidence of adverse drug reactions between groups. Conclusions The data available on the effectiveness and safety of adjunctive treatment using HupA in patients with MDD who are receiving antidepressants is insufficient to arrive at a definitive conclusion about its efficacy and safety. Pooling of the data from three low-quality RCTs from China found no advantage of adjunctive HupA in the treatment of depressive symptoms, but adjunctive treatment with HupA was associated with a faster resolution of the cognitive symptoms that frequently accompany MDD.
A catalogue of bright (K < 9) M dwarfs

Using the Position and Proper Motion Extended-L (PPMXL) catalogue, we have used optical and near-infrared colour cuts together with a reduced proper motion cut to find bright M dwarfs for future exoplanet transit studies. PPMXL's low proper motion uncertainties allow us to probe down to smaller proper motions than previous similar studies. We have combined unique objects found with this method to that of previous work to produce 8479 K<9 M dwarfs. Low resolution spectroscopy was obtained of a sample of the objects found using this selection method to gain statistics on their spectral type and physical properties. Results show a spectral type range of K7-M4V. This catalogue is the most complete collection of K<9 M dwarfs currently available and is made available here.
Effects of Transmit Focusing on Finite Amplitude Distortion Based Second Harmonic Generation

Generation of the second harmonic signal was studied for finite amplitude distortion based harmonic imaging. Acoustic field amplitudes along the range axis of a fixed focus transducer were measured using a PVDF needle hydrophone. Results indicated that on-axis amplitudes strongly depended on the f-number at both the fundamental and the second harmonic frequencies. Differences of the on-axis amplitudes between the two frequencies were also investigated. To explore the possibility of increasing harmonic generation by extending the depth of focus, a two-focus transducer was employed. Hydrophone measurements, pulse-echo imaging and simulations were performed. Although the increase in harmonic generation depended on specific imaging parameters, the effectiveness of improving the harmonic signal-to-noise ratio (SNR) by increasing the depth of field was clearly demonstrated. Degradation in contrast resolution associated with the two-focus transducer was also evaluated. It was found that the contrast resolution was still significantly better than that of the fundamental image at the same frequency. Results of the study using the two-focus transducers can be generalized to imaging systems with full dynamic transmit focusing capabilities. In other words, it is expected that dynamic transmit focusing can improve the SNR of finite amplitude distortion based second harmonic imaging while improving the contrast resolution over fundamental imaging.
Camera pose and calibration from 4 or 5 known 3D points

We describe two direct quasilinear methods for camera pose (absolute orientation) and calibration from a single image of 4 or 5 known 3D points. They generalize the 6 point 'Direct Linear Transform' method by incorporating partial prior camera knowledge, while still allowing some unknown calibration parameters to be recovered. Only linear algebra is required, the solution is unique in non-degenerate cases, and additional points can be included for improved stability. Both methods fail for coplanar points, but we give an experimental eigendecomposition based one that handles both planar and nonplanar cases. Our methods use recent polynomial solving technology, and we give a brief summary of this. One of our aims was to try to understand the numerical behaviour of modern polynomial solvers on some relatively simple test cases, with a view to other vision applications.
Clonal Selection Algorithm for Feature Selection and Parameters Optimization of Support Vector Machines

This paper presents the Clonal Selection Algorithm (CSA) to select a proper subset of features and optimal parameters of Support Vector Machines (SVMs) classifier. Like the genetic algorithm, clonal selection algorithm is a tool for optimum solution to select better parameters, in our experiment, to improve classification accuracy, the clonal selection algorithm and genetic algorithm are used to reach the optimization performances with several real-world datasets. The experiments show the effectiveness of the methods. And those results are compared each other. The experiments denote that the proposed clonal selection algorithm is shown to be an evolutionary strategy capable of improving the classification accuracy and has fewer features for support vector machines.
Size and speed of the working stroke of cardiac myosin in situ

Significance To our knowledge, this paper represents a major advancement in the physiology and pathophysiology of the heart as it gives the first quantitative description of the working stroke of the motor protein cardiac myosin II. The experiments demonstrate that our sarcomere-level mechanical methods on trabeculae have the full potential for the in situ investigation of cardiomyopathy-causing mutations in cardiac myosin and tests on specific therapeutic interventions. The power in the myocardium sarcomere is generated by two bipolar arrays of the motor protein cardiac myosin II extending from the thick filament and pulling the thin, actin-containing filaments from the opposite sides of the sarcomere. Despite the interest in the definition of myosin-based cardiomyopathies, no study has yet been able to determine the mechanokinetic properties of this motor protein in situ. Sarcomere-level mechanics recorded by a striation follower is used in electrically stimulated intact ventricular trabeculae from the rat heart to determine the isotonic velocity transient following a stepwise reduction in force from the isometric peak force TP to a value T (0.8–0.2 TP). The size and the speed of the early rapid shortening (the isotonic working stroke) increase by reducing T from ∼3 nm per half-sarcomere (hs) and 1,000 s−1 at high load to ∼8 nm⋅hs−1 and 6,000 s−1 at low load. Increases in sarcomere length (1.9–2.2 μm) and external [Ca2+]o (1–2.5 mM), which produce an increase of TP, do not affect the dependence on T, normalized for TP, of the size and speed of the working stroke. Thus, length- and Ca2+-dependent increase of TP and power in the heart can solely be explained by modulation of the number of myosin motors, an emergent property of their array arrangement. The motor working stroke is similar to that of skeletal muscle myosin, whereas its speed is about three times slower. A new powerful tool for investigations and therapies of myosin-based cardiomyopathies is now within our reach.
Translucent patches—dissolving windows

This paper presents motivation, design, and algorithms for using and implementing translucent, non-rectangular patches as a substitute for rectangular opaque windows. The underlying metaphor is closer to a mix between the architects yellow paper and the usage of white boards, than to rectangular opaque paper in piles and folders on a desktop. Translucent patches lead to a unified view of windows, sub-windows and selections, and provide a base from which the tight connection between windows, their content, and applications can be dissolved. It forms one aspect of on-going work to support design activities that involve “marking” media, like paper and white boards, with computers. The central idea of that research is to allow the user to associate structure and meaning dynamically and smoothly to marks on a display surface.
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems1

Abstract Distributed constraint optimization problems (DCOPs) are important in many areas of computer science and optimization. In a DCOP, each variable is controlled by one of many autonomous agents, who together have the joint goal of maximizing a global objective function. A wide variety of techniques have been explored to solve such problems, and here we focus on one of the main families, namely iterative approximate best-response algorithms used as local search algorithms for DCOPs. We define these algorithms as those in which, at each iteration, agents communicate only the states of the variables under their control to their neighbours on the constraint graph, and that reason about their next state based on the messages received from their neighbours. These algorithms include the distributed stochastic algorithm and stochastic coordination algorithms, the maximum-gain messaging algorithms, the families of fictitious play and adaptive play algorithms, and algorithms that use regret-based heuristics. This family of algorithms is commonly employed in real-world systems, as they can be used in domains where communication is difficult or costly, where it is appropriate to trade timeliness off against optimality, or where hardware limitations render complete or more computationally intensive algorithms unusable. However, until now, no overarching framework has existed for analyzing this broad family of algorithms, resulting in similar and overlapping work being published independently in several different literatures. The main contribution of this paper, then, is the development of a unified analytical framework for studying such algorithms. This framework is built on our insight that when formulated as non-cooperative games, DCOPs form a subset of the class of potential games. This result allows us to prove convergence properties of iterative approximate best-response algorithms developed in the computer science literature using game-theoretic methods (which also shows that such algorithms can also be applied to the more general problem of finding Nash equilibria in potential games), and, conversely, also allows us to show that many game-theoretic algorithms can be used to solve DCOPs. By so doing, our framework can assist system designers by making the pros and cons of, and the synergies between, the various iterative approximate best-response DCOP algorithm components clear.
High-Dimensional Gaussian Process Bandits

Many applications in machine learning require optimizing unknown functions defined over a high-dimensional space from noisy samples that are expensive to obtain. We address this notoriously hard challenge, under the assumptions that the function varies only along some low-dimensional subspace and is smooth (i.e., it has a low norm in a Reproducible Kernel Hilbert Space). In particular, we present the SI-BO algorithm, which leverages recent low-rank matrix recovery techniques to learn the underlying subspace of the unknown function and applies Gaussian Process Upper Confidence sampling for optimization of the function. We carefully calibrate the exploration-exploitation tradeoff by allocating the sampling budget to subspace estimation and function optimization, and obtain the first subexponential cumulative regret bounds and convergence rates for Bayesian optimization in high-dimensions under noisy observations. Numerical results demonstrate the effectiveness of our approach in difficult scenarios.
Inhibition of the JAK/STAT Pathway Protects Against α-Synuclein-Induced Neuroinflammation and Dopaminergic Neurodegeneration

Parkinson's Disease (PD) is an age-related, chronic neurodegenerative disorder. At present, there are no disease-modifying therapies to prevent PD progression. Activated microglia and neuroinflammation are associated with the pathogenesis and progression of PD. Accumulation of α-synuclein (α-SYN) in the brain is a core feature of PD and leads to microglial activation, inflammatory cytokine/chemokine production, and ultimately to neurodegeneration. Given the importance of the JAK/STAT pathway in activating microglia and inducing cytokine/chemokine expression, we investigated the therapeutic potential of inhibiting the JAK/STAT pathway using the JAK1/2 inhibitor, AZD1480. In vitro, α-SYN exposure activated the JAK/STAT pathway in microglia and macrophages, and treatment with AZD1480 inhibited α-SYN-induced major histocompatibility complex Class II and inflammatory gene expression in microglia and macrophages by reducing STAT1 and STAT3 activation. For in vivo studies, we used a rat model of PD induced by viral overexpression of α-SYN. AZD1480 treatment inhibited α-SYN-induced neuroinflammation by suppressing microglial activation, macrophage and CD4+ T-cell infiltration and production of proinflammatory cytokines/chemokines. Numerous genes involved in cell–cell signaling, nervous system development and function, inflammatory diseases/processes, and neurological diseases are enhanced in the substantia nigra of rats with α-SYN overexpression, and inhibited upon treatment with AZD1480. Importantly, inhibition of the JAK/STAT pathway prevented the degeneration of dopaminergic neurons in vivo. These results indicate that inhibiting the JAK/STAT pathway can prevent neuroinflammation and neurodegeneration by suppressing activation of innate and adaptive immune responses to α-SYN. Furthermore, this suggests the feasibility of targeting the JAK/STAT pathway as a neuroprotective therapy for neurodegenerative diseases. SIGNIFICANCE STATEMENT α-SYN plays a central role in the pathophysiology of PD through initiation of neuroinflammatory responses. Using an α-SYN overexpression PD model, we demonstrate a beneficial therapeutic effect of AZD1480, a specific inhibitor of JAK1/2, in suppressing neuroinflammation and neurodegeneration. Our findings document that inhibition of the JAK/STAT pathway influences both innate and adaptive immune responses by suppressing α-SYN-induced microglia and macrophage activation and CD4+ T-cell recruitment into the CNS, ultimately suppressing neurodegeneration. These findings are the first documentation that suppression of the JAK/STAT pathway disrupts the circuitry of neuroinflammation and neurodegeneration, thus attenuating PD pathogenesis. JAK inhibitors may be a viable therapeutic option for the treatment of PD patients.