COMPARISON OF THE VALIDITY AND RELIABILITY OF SELF-REPORTED ARTICULAR INDICES

Our objective was to compare the validity and reliability of three formats for self-administered articular indices assessing pain (PAI) or swelling (SAI). Fifty-five patients with rheumatoid arthritis were asked to mark the degree of pain on a list of 16 joints (PAI list), to mark ‘painful joints' on a mannequin presenting 42 joints (PAI diagram), and to mark ‘swollen or tender joints' on a mannequin presenting 38 joints (SAI diagram). The test-retest reliability (intraclass correlation coefficient) ranged from 0.63 (SAI diagram) to 0.67 (PAI diagram) and 0.85 (PAI list). The correlation with clinical parameters was strongest for the PAI list and the SAI diagram. The association of the SAI diagram with clinical parameters increased with omission of the less reliable toe joints and/or weighting for joint size according to Lansbury. As expected, the short and weighted SAI diagram correlated more strongly with the physician-derived swollen joint count (r = 0.49), C-reactive protein (r = 0.49) and erythrocyte sedimentation rate (r = 0.41) than did the PAI list whereas the PAI list correlated more strongly with physician-derived tender joint count (r = 0.43), global pain measured on a numerical rating scale (r = 0.57) and the Health Assessment Questionnaire (r = 0.49) than did the SAI diagram. We concluded that patients' rating of tender and swollen joints on a mannequin diagram and calculation of a 26-joint and weighted articular index produces an excellent estimate of total joint inflammation, which may be useful in clinical, health services and epidemiological research. An articular index calculated from ratings of pain degree of 16 joints or joint groups may provide complementary informatio

DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity

Nowadays, events usually burst and are propagated online through multiple modern media like social networks and search engines. There exists various research discussing the event dissemination trends on individual medium, while few studies focus on event popularity analysis from a cross-platform perspective. Challenges come from the vast diversity of events and media, limited access to aligned datasets across different media and a great deal of noise in the datasets. In this paper, we design DancingLines, an innovative scheme that captures and quantitatively analyzes event popularity between pairwise text media. It contains two models: TF-SW, a semantic-aware popularity quantification model, based on an integrated weight coefficient leveraging Word2Vec and TextRank; and wDTW-CD, a pairwise event popularity time series alignment model matching different event phases adapted from Dynamic Time Warping. We also propose three metrics to interpret event popularity trends between pairwise social platforms. Experimental results on eighteen real-world event datasets from an influential social network and a popular search engine validate the effectiveness and applicability of our scheme. DancingLines is demonstrated to possess broad application potentials for discovering the knowledge of various aspects related to events and different media

DNA double strand breaks as predictor of efficacy of the alpha-particle emitter Ac-225 and the electron emitter Lu-177 for somatostatin receptor targeted radiotherapy

Key biologic effects of the alpha-particle emitter Actinium-225 in comparison to beta-particle emitter Lutetium-177 labeled somatostatin analogue DOTATOC in vitro and in vivo were studied to evaluate the significance of H2AX-foci formation and its downstream effects. To determine relative biological effectiveness (RBE) between the two isotopes somatostatin expressing AR42J cells were incubated with Ac-225-DOTATOC and Lu-177-DOTATOC up to 48 h and viability was analyzed using the MTT assay. DNA double strand breaks were quantified after immunofluorescence staining of H2AX. Cell cycle was analyzed by flow cytometry. In vivo, uptake of both radiolabeled somatostatin-analogues into subcutaneous AR42J tumors and number of cells displaying H2AX-foci were measured. Therapeutic efficacy was assayed by monitoring tumor growth after treatment with activities translated from in vitro cytotoxicity. Ac-225-DOTATOC was synthesized with specific activities between 0.2-0.4 MBq/µg and radiochemical purity of > 90%. ED50 values were 30 kBq/ml after 24 h and 14 kBq/ml after 48 h. Lu-177-DOTATOC displayed radiochemical purity of >95% and ED50 values of 10 MBq/ml after 48 h. Number of DNA double strand breaks increased with increasing concentration of Ac 225 DOTATOC and Lu-177-DOTATOC similarly, if a factor of approximately 700 of Lu-177 activities over Ac-225 activities was applied. Already 24 h after incubation with 2.5, 5, and 10 kBq/ml Ac 225 DOTATOC cell cycle studies showed an increment of the percentage of tumor cells in G2/M phase up to 60%. After 72 h an apoptotic subG1 peak was also detectable. Tumor uptake for both radio peptides at 48 h was identical with 7.5 %ID/g, though overall number of cells with H2AX-foci was higher for tumors treated with 48 kBq Actinium-225-DOTATOC than tumors treated with 30 MBq Lutetium-177-DOTATOC (35% vs. 21%). Tumors with a mean volume of 0.34 ml reached exponential tumor growth after 25 days (44 kBq Ac-225-DOTATOC), after 21 days (34 MBq Lu-177-DOTATOC) and after 5 days (control). Thus H2AX-foci displayed the key parameter after irradiation with similar downstream effects for beta and alpha irradiation.JRC.E.5-Nuclear chemistr

Genetic structure of invasive baby’s breath (Gypsophila paniculata) populations in a Michigan dune system

Invasive species can reduce biodiversity of a system by outcompeting native species for resources, changing the physical characteristics of a habitat, and altering natural disturbance regimes. Coastal sand dune ecosystems are dynamic with elevated levels of disturbance, and as such they are highly susceptible to plant invasions. The topography, geographic distribution of preferred habitat, and disturbance regime in an ecosystem can influence where an invasive plant becomes established, its dispersal patterns, and how densely it grows. One such invasion that is of major concern to the Great Lakes dune systems is baby’s breath (Gypsophila paniculata). The invasion of baby’s breath negatively impacts native species, including rare ones such as Pitcher’s thistle (Cirsium pitcheri). Estimating the genetic variation and structure of invasive populations can lead to a better understanding of the invasion history, and the factors influencing invasion success. Microsatellite genetic markers can be beneficial for estimating levels of diversity present within and among populations. Our research goals were to develop microsatellite primers to analyze invasive populations, quantify the genetic diversity and estimate the genetic structure of these invasive populations of baby’s breath in the Michigan dune system. We identified 16 polymorphic nuclear microsatellite loci for baby’s breath out of 73 loci that successfully amplified from a primer library created using Illumina sequencing technology. We analyzed 12 populations at 14 nuclear and 2 chloroplast microsatellite loci and found moderate genetic diversity, strong genetic structure among the populations (global FST = 0.228), and also among two geographic regions that are separated by the Leelanau peninsula. Results from a Bayesian clustering analysis suggest two main population clusters. Isolation by distance was found over all 12 populations (R = 0.755, P \u3c 0.001) and when only cluster 2 populations were included (R = 0.523, P = 0.030); populations within cluster 1 revealed no significant relationship (R = 0.205, P = 0.494). The results suggest the possibility of at least two separate introduction events to Michigan. These results provide an understanding of the invasion history and factors contributing to invasion success. Management of invasive populations can use this to identify populations of high priority

Some Faster Algorithms for Finding Large Prime Gaps

This paper investigates the problem of finding large prime gaps (the difference between two consecutive prime numbers, pi+1 – pi) and on the development of a small, efficient program for generating such large prime gaps for a single computer, a laptop or a workstation. In Wikipedia [1], one can find a table of all known record prime gaps less than 264, the record is a 20 decimal digit number. We wanted to go beyond 64 bit numbers and demonstrate algorithms that do not needed a huge number of computers in a grid to produce useful results. After some preliminary tests, we found that the Sieve of Eratosthenes, SE, from the year 250 BC was the fastest for finding prime numbers and it could also be made space efficient. Each odd number is represented by one bit and when storing 8 odd numbers in a single byte (representing 16 consecutive numbers ignoring the even numbers), we found that we should not make one long SE table, but instead divide the SE table into segments (called SE segments), each of length 108 or 109 and dynamically generate the necessary SE segments as to find prime numbers. First, we made a basic segment of all prime numbers < 108 (in less than a second). We also relied heavily on the old observation [2] that when using SE to find all prime numbers ?????, we cross out all numbers using the prime numbers ???? ? ?????, and that the first number crossed off when crossing out for prime number p is p2. When we want to find prime gaps, we first create one or more consecutive SE in that range, say starting on 274 and ending with the value M – initially these big segments are crossed out by our first basic set of primes < 108 , To find all prime number in these big segments, we next need the rest of prime numbers ???? ? ????? . These can be all be constructed by using our first set of prime numbers to generate segments of consecutive SE from 108. The primes in these segments are used to cross out in the big SE segment and can then be discarded (each prime used only once). Our most significant algorithm was to find a simple formula for using primes from a range 3 – 236 to cross out the non-primes in any SE segment without crossing out in all the numbers between 236 and 272. This leads to an exponential saving in both space and execution time. In addition to this, we created a small package Int3 to represent numbers > 264 by storing 8 decimal values in each of 3 integer variables together with the necessary mathematical operations. The Int3 package can handle numbers up to 24 decimal digits and is significantly faster than the BigInteger package in the Java library. We also created a faster algorithm for finding all record prime gaps. The results presented in this paper are some tables of prime gaps for primes significantly larger than 264 and data supporting an observation that big prime gaps in these segments are much more frequent than the ones we find in the Wikipedia table where the search starts at prime number 3. Our combined set of algorithms is also sufficiently fast to test every entry in the Wikipedia table in less than 5 minutes. We conclude by reflecting on the use of brute force (more computers) versus smarter algorithms

On the usage of geomagnetic indices for data selection in internal field modelling

We present a review on geomagnetic indices describing global geomagnetic storm activity (Kp, am, Dst and dDst/dt) and on indices designed to characterize high latitude currents and substorms (PC and AE-indices and their variants). The focus in our discussion is in main field modelling, where indices are primarily used in data selection criteria for weak magnetic activity. The publicly available extensive data bases of index values are used to derive joint conditional Probability Distribution Functions (PDFs) for different pairs of indices in order to investigate their mutual consistency in describing quiet conditions. This exercise reveals that Dst and its time derivative yield a similar picture as Kp on quiet conditions as determined with the conditions typically used in internal field modelling. Magnetic quiescence at high latitudes is typically searched with the help of Merging Electric Field (MEF) as derived from solar wind observations. We use in our PDF analysis the PC-index as a proxy for MEF and estimate the magnetic activity level at auroral latitudes with the AL-index. With these boundary conditions we conclude that the quiet time conditions that are typically used in main field modelling (, and ) correspond to weak auroral electrojet activity quite well: Standard size substorms are unlikely to happen, but other types of activations (e.g. pseudo breakups ) can take place, when these criteria prevail. Although AE-indices have been designed to probe electrojet activity only in average conditions and thus their performance is not optimal during weak activity, we note that careful data selection with advanced AE-variants may appear to be the most practical way to lower the elevated RMS-values which still exist in the residuals between modeled and observed values at high latitudes. Recent initiatives to upgrade the AE-indices, either with a better coverage of observing stations and improved baseline corrections (the SuperMAG concept) or with higher accuracy in pinpointing substorm activity (the Midlatitude Positive Bay-index) will most likely be helpful in these efforts.</p

Transitory Microbial Habitat in the Hyperarid Atacama Desert

Traces of life are nearly ubiquitous on Earth. However, a central unresolved question is whether these traces always indicate an active microbial community or whether, in extreme environments, such as hyperarid deserts, they instead reflect just dormant or dead cells. Although microbial biomass and diversity decrease with increasing aridity in the Atacama Desert, we provide multiple lines of evidence for the presence of an at times metabolically active, microbial community in one of the driest places on Earth. We base this observation on four major lines of evidence: a physico-chemical characterization of the soil habitability after an exceptional rain event, identified biomolecules indicative of potentially active cells [e.g., presence of ATP, phospholipid fatty acids (PLFAs), metabolites, and enzymatic activity], measurements of in situ replication rates of genomes of uncultivated bacteria reconstructed from selected samples, and microbial community patterns specific to soil parameters and depths. We infer that the microbial populations have undergone selection and adaptation in response to their specific soil microenvironment and in particular to the degree of aridity. Collectively, our results highlight that even the hyperarid Atacama Desert can provide a habitable environment for microorganisms that allows them to become metabolically active following an episodic increase in moisture and that once it decreases, so does the activity of the microbiota. These results have implications for the prospect of life on other planets such as Mars, which has transitioned from an earlier wetter environment to today's extreme hyperaridity. [Abstract copyright: Copyright © 2018 the Author(s). Published by PNAS.