Summary
Due to the huge gap in the care of patients with osteoporosis and fragility fractures, we aimed to explore the effectiveness of the osteoporosis liaison service (OLS) in osteoporosis care. We ...found that OLS can improve osteoporosis care, including increasing medication compliance, increasing calcium/vitamin D/protein intake, and reducing fall rate.
Introduction
A significant gap exists in the care of patients with osteoporosis and fragility fractures. This study aimed to evaluate 1-year outcomes of an osteoporosis liaison service (OLS) program that includes two independent components: medication management services (MMS) to improve medication adherence and fracture liaison services (FLS) for secondary prevention.
Methods
Patients with new hip fracture or untreated vertebral fractures enrolled in the FLS program (
n
= 600), and those with osteoporosis medication management issues but not necessarily fragility fractures enrolled in the MMS program (
n
= 499) were included. To evaluate outcomes, care coordinators assessed baseline items adapted from the 13 Best Practices Framework (BPF) standards of the International Osteoporosis Foundation, with telephone follow-up every 4 months for 1 year.
Results
Mean age of this cohort was 76.2 ± 10.3 years, 78.8% were female. After 1-year participation in the program, all patients had received bone mineral density tests, and medication adherence for the entire cohort at 12 months was 91.9 ± 19.6%, with significant improvement in fall rates (23.4% reduction), exercise rates (16.8% increase), calcium intake (26.5% increase), vitamin D intake (26.4% increase), and adequate protein intake (17.3% increase) (all
p
< 0.05). After 1-year OLS program, the overall rates of mortality, incident fracture, and falls were 6.6%, 4.0%, and 24.3%, respectively.
Conclusions
The OLS program is associated with improved osteoporosis care, including increased medication adherence, calcium/vitamin D and protein intake, and reduced fall rate.
Carbon dioxide adsorption properties of a series of templated carbon adsorbents with high Brunauer–Emmett–Teller surface areas (1361–3840 m2/g) and with/without nitrogen doping (6–7 wt % N) were ...systematically studied. Two linear relationships between CO2 adsorption capacities and surface areas of nitrogen-doped/undoped nanostructured templated carbons were first established. The doped nitrogen was present in the forms of pyridinic nitrogen, pyrrolic/pyridonic nitrogen, quaternary nitrogen, and an oxidized form of nitrogen. The interaction energies with CO2, as approximated by the isosteric heats of adsorption, were increased from 30 kJ/mol on the undoped carbon to 50 kJ/mol on the N-doped carbon as a result of these nitrogen sites. The increased interactions led to an enhancement in CO2 adsorption capacity by a factor of 2, while N2 uptake was not enhanced. The optimized N-doped templated carbon, N-TC-EMC, possessed remarkable CO2 capacity (4 mmol/g at 1 atm and 298 K) and selectivity (CO2/N2 at 1 atm = 14). Postdoping ammonia treatment was found beneficial to CO2 adsorption. CO2 performance of N-doped carbon under wet condition and conditions relevant to flue gas, rates of adsorption, and regeneration requirement, which are important for practical applications, were also investigated. The results showed that N-doped templated carbon exhibited all prerequisite attributes for CO2 capture and storage applications: high CO2 capacity and CO2/N2 selectivity, fast and reversible adsorption, thermal and moisture stabilities, and ease in CO2 desorption.
Data Mining for Internet of Things: A Survey Tsai, Chun-Wei; Lai, Chin-Feng; Chiang, Ming-Chao ...
IEEE Communications surveys and tutorials,
01/2014, Letnik:
16, Številka:
1
Journal Article
Recenzirano
It sounds like mission impossible to connect everything on the earth together via internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making many ..."impossibles" possible. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Data mining will no doubt play a critical role in making this kind of system smart enough to provide more convenient services and environments. This paper begins with a discussion of the IoT. Then, a brief review of the features of "data from IoT" and "data mining for IoT' is given. Finally, changes, potentials, open issues, and future trends of this field are addressed.
We present measurements of the dynamical structure factor S(q,ω) of an interacting one-dimensional Fermi gas for small excitation energies. We use the two lowest hyperfine levels of the ^{6}Li atom ...to form a pseudospin-1/2 system whose s-wave interactions are tunable via a Feshbach resonance. The atoms are confined to one dimension by a two-dimensional optical lattice. Bragg spectroscopy is used to measure a response of the gas to density ("charge") mode excitations at a momentum q and frequency ω, as a function of the interaction strength. The spectrum is obtained by varying ω, while the angle between two laser beams determines q, which is fixed to be less than the Fermi momentum k_{F}. The measurements agree well with Tomonaga-Luttinger theory.
We present 855 cataclysmic variable candidates detected by the Catalina Real-time Transient Survey (CRTS) of which at least 137 have been spectroscopically confirmed and 705 are new discoveries. The ...sources were identified from the analysis of five years of data, and come from an area covering three quarters of the sky. We study the amplitude distribution of the dwarf novae cataclysmic variables (CVs) discovered by CRTS during outburst, and find that in quiescence they are typically 2 mag fainter compared to the spectroscopic CV sample identified by the Sloan Digital Sky Survey. However, almost all CRTS CVs in the SDSS footprint have ugriz photometry. We analyse the spatial distribution of the CVs and find evidence that many of the systems lie at scale heights beyond those expected for a Galactic thin disc population. We compare the outburst rates of newly discovered CRTS CVs with the previously known CV population, and find no evidence for a difference between them. However, we find significant evidence for a systematic difference in orbital period distribution. We discuss the CVs found below the orbital period minimum and argue that many more are yet to be identified among the full CRTS CV sample. We cross-match the CVs with archival X-ray catalogues and find that most of the systems are dwarf novae rather than magnetic CVs.
In this paper, a novel accurate and economical 3D computer vision‐based framework is proposed to quantify out‐of‐plane displacements of steel plate structures. First, a sequence of image frames of ...the steel plate structures of interest is collected. Second, using image association, structure‐from‐motion, and multi‐view stereo algorithms, a 3D point cloud of the steel plate structures and their surroundings is created. Third, an efficient 3D object detection method based on convolutional neural networks is developed and implemented to identify the steel plate structures in the 3D point cloud. Last, the out‐of‐plane displacements of the steel plate structures are quantified using point cloud postprocessing algorithms. The proposed framework has been implemented on a steel plate damper and a full‐scale steel corrugated plate wall panel, which are commonly used in structural and earthquake engineering applications. The results indicate the developed framework can successfully localize the steel plate components in the 3D scene and accurately quantify the out‐of‐plane structural displacements with an average accuracy of ∼1 mm. The implementation shows the proposed framework can accurately and efficiently quantify the out‐of‐plane displacements of steel plate structures in realistic engineering applications.
CO2 capture from the atmosphere and concentration by cyclic adsorption–desorption processes are studied for the first time. New high microporosity materials, zeolite types Li-LSX and K-LSX, are ...compared to zeolite NaX and amine-grafted SBA-15 with low amine content. Breakthrough performance showed low silica type X (LSX) to have the most promise for application in dry conditions and capable of high space velocities of at least 63 000 h–1, with minimal spreading of the CO2 breakthrough curve. Amine-grafted silica was the only adsorbent able to operate in wet conditions, but at a lower space velocity of 1500 h–1, due to slower uptake rates. The results illustrate that the uptake rate is as important as the equilibrium adsorbed amount in determining the cyclic process performance. Li-LSX was found to have double the capacity of zeolite NaX at atmospheric conditions, also higher than all other reported zeolites. It is further demonstrated that by using a combined temperature and vacuum swing cycle, the CO2 concentration in the desorption product is >90% for all adsorbents in pellet form. This is the first report of such high CO2 product concentrations from a single cycle, using atmospheric air.
Background
The aim of this study was to investigate the prevalence of epidemiologic and physician‐diagnosed pollen‐induced AR (PiAR) in the grasslands of northern China and to study the impact of the ...intensity and time of pollen exposure on PiAR prevalence.
Methods
A multistage, clustered and proportionately stratified random sampling with a field interviewer‐administered survey study was performed together with skin prick tests (SPT) and measurements of the daily pollen count.
Results
A total of 6043 subjects completed the study, with a proportion of 32.4% epidemiologic AR and 18.5% PiAR. The prevalence was higher in males than females (19.6% vs 17.4%, P = .024), but no difference between the two major residential and ethnic groups (Han and Mongolian) was observed. Subjects from urban areas showed higher prevalence of PiAR than rural areas (23.1% vs 14.0%, P < .001). Most PiAR patients were sensitized to two or more pollens (79.4%) with artemisia, chenopodium, and humulus scandens being the most common pollen types, which were similarly found as the top three sensitizing pollen allergens by SPT. There were significant regional differences in the prevalence of epidemiologic AR (from 18.6% to 52.9%) and PiAR (from 10.5% to 31.4%) among the six areas investigated. PiAR symptoms were positively associated with pollen counts, temperature, and precipitation (P < .05), but negatively with wind speed and pressure P < .05).
Conclusion
Pollen‐induced AR (PiAR) prevalence in the investigated region is extremely high due to high seasonal pollen exposure, which was influenced by local environmental and climate conditions.
Predicting mutation-induced changes in protein thermodynamic stability (ΔΔG) is of great interest in protein engineering, variant interpretation, and protein biophysics. We introduce ThermoNet, a ...deep, 3D-convolutional neural network (3D-CNN) designed for structure-based prediction of ΔΔGs upon point mutation. To leverage the image-processing power inherent in CNNs, we treat protein structures as if they were multi-channel 3D images. In particular, the inputs to ThermoNet are uniformly constructed as multi-channel voxel grids based on biophysical properties derived from raw atom coordinates. We train and evaluate ThermoNet with a curated data set that accounts for protein homology and is balanced with direct and reverse mutations; this provides a framework for addressing biases that have likely influenced many previous ΔΔG prediction methods. ThermoNet demonstrates performance comparable to the best available methods on the widely used Ssym test set. In addition, ThermoNet accurately predicts the effects of both stabilizing and destabilizing mutations, while most other methods exhibit a strong bias towards predicting destabilization. We further show that homology between Ssym and widely used training sets like S2648 and VariBench has likely led to overestimated performance in previous studies. Finally, we demonstrate the practical utility of ThermoNet in predicting the ΔΔGs for two clinically relevant proteins, p53 and myoglobin, and for pathogenic and benign missense variants from ClinVar. Overall, our results suggest that 3D-CNNs can model the complex, non-linear interactions perturbed by mutations, directly from biophysical properties of atoms.
Abstract
Earlier identification of bolt loosening is crucial to maintain structural integrity and prevent system‐level collapse. In this study, a novel drone‐based 3D vision methodology has been ...proposed for autonomous bolt loosening assessment. First, a low‐cost micro aerial vehicle with various types of sensors is designed. Second, a drone‐based autonomous image collection method is proposed. Third, a 3D point cloud of the bolted connection is generated using the acquired images. Fourth, 3D point cloud processing methods are proposed to localize and quantify bolt loosening. The proposed method has been implemented on structural beam–column connections. The results show that the proposed drone‐based data collection method can effectively acquire images for 3D reconstruction. The 3D point cloud processing methods can reliably localize and quantify bolt loosening at high accuracy. The proposed method provides a more robust and comprehensive evaluation of bolt loosening, compared to existing 2D vision methods, which process 2D images captured at a specific camera view.
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