Results of the UK NEQAS for Molecular Genetics reference sample analysis

Aims: In addition to providing external quality assessment (EQA) schemes, United Kingdom National External Quality Assessment service (UK NEQAS) for Molecular Genetics also supports the education of laboratories. As an enhancement to the Molecular Pathology EQA scheme, a human cell-line reference sample, manufactured by Thermo Fisher Scientific (AcroMetrix), was provided for analysis. This contained many variants, present at frequencies between 1% and 17.9%. Methods: One hundred and one laboratories submitted results, with a total of 2889 test results on 53 genes being reported. Known polymorphisms, 46/2889 (1.59%) results, were excluded. Variants detected in the seven most commonly reported (and clinically relevant) genes, KRAS, NRAS, BRAF, EGFR, PIK3CA, KIT and PDGFRA, are reported here, as these genes fall within the scope of UK NEQAS EQA schemes. Results: Next generation sequencing (NGS) was the most commonly performed testing platform. There were between 5 and 27 validated variants in the seven genes reported here. Eight laboratories correctly reported all five NRAS variants, and two correctly reported all eight BRAF variants. The validated mean variant frequency was lower than that determined by participating laboratories, with single-gene testing methodologies showing less variation in estimated frequencies than NGS platforms. Laboratories were more likely to correctly identify clinically relevant variants. Conclusions: Over 100 laboratories took the opportunity to test the ‘educational reference sample’, showing a willingness to further validate their testing platforms. While it was encouraging to see that the most widely reported variants were those which should be included in routine testing panels, reporting of variants was potentially open to interpretation, thus clarity is still required on whether laboratories selectively reported variants, by either clinical relevance or variant frequency

Advancing the Science of Team Science

The First Annual International Science of Team Science (SciTS) Conference was held in Chicago, IL April 22-24, 2010. This article presents a summary of the Conference proceedings. Clin Trans Sci 2010; Volume 3: 263-266

CDMSlite: A Search for Low-Mass WIMPs using Voltage-Assisted Calorimetric Ionization Detection in the SuperCDMS Experiment

SuperCDMS is an experiment designed to directly detect Weakly Interacting Massive Particles (WIMPs), a favored candidate for dark matter ubiquitous in the Universe. In this paper, we present WIMP-search results using a calorimetric technique we call CDMSlite, which relies on voltage- assisted Luke-Neganov amplification of the ionization energy deposited by particle interactions. The data were collected with a single 0.6 kg germanium detector running for 10 live days at the Soudan Underground Laboratory. A low energy threshold of 170 eVee (electron equivalent) was obtained, which allows us to constrain new WIMP-nucleon spin-independent parameter space for WIMP masses below 6 GeV/c2.Comment: 7 pages, 4 figure

The Vehicle, Fall 1987

Table of Contents Sketches in the SunRodger L. Patiencepage 3 Reflecting PoolRob Montgomerypage 5 Grandpa\u27s Porcelain DollRichard E. Hallpage 6 Tintype 1837Catherine Friemannpage 6 PhotographSteven M. Beamerpage 7 Washerwoman\u27s SongBob Zordanipage 8 Scrambled Eggs for D.O.Lynne A. Rafoolpage 8 my mother would sayMonica Grothpage 9 Retired by His ChildrenDan Von Holtenpage 10 I am the oldestMonica Grothpage 11 Ice on WheatRob Montgomerypage 12 The Nature of the RoseTroy Mayfieldpage 12 Past NebraskaDan Hornbostelpage 13 Five Minute Jamaican VacationChristy Dunphypage 14 PhotographSteven M. Beamerpage 14 The Angry PoemChristy Dunphypage 15 Road UnfamiliarChristy Dunphypage 15 raised voicesMonica Grothpage 16 Old Ladies & MiniskirtsKara Shannonpage 17 FreakspeakBob Zordanipage 18 PortraitDan Von Holtenpage 18 Mobile VacuumKathleen L. Fairfieldpage 19 Rev. Fermus DickSteve Hagemannpage 20 PhotographSteven M. Beamerpage 21 What\u27s the Name of That Flower?Richard Jesse Davispage 22 RequestChristy Dunphypage 23 SketchPaul Seabaughpage 24 ExperiencedMarilyn Wilsonpage 26 Leaving: Two ViewsTina Phillipspage 27 AntaeusDan Von Holtenpage 28 Misogyny at 19J. D. Finfrockpage 29 A Mental CrippleSteve Hagemannpage 32 AssociationsRhonda Ealypage 33 Banana BreadGail Bowerpage 34 Bill and JackBradford B. Autenpage 35 After Image No. 2Rob Montgomerypage 35 VrrooomBeth Goodmanpage 36 Mr. Modern LoverMolly Maddenpage 36 TravelogueRodger L. Patiencepage 37 Down the HighwayJoan Sebastianpage 38 A Retread HeavenRob Montgomerypage 41 StuporDan Von Holtenpage 42 Love Poem After a Seizure in Your BedBob Zordanipage 43 PalsyChristy Dunphypage 44 Interview with Mr. MatthewsBob Zordanipage 45 Chasing Down Hot Air Balloons on a Sunday MorningRob Montgomerypage 48https://thekeep.eiu.edu/vehicle/1049/thumbnail.jp

Water Contaminants Detection Using Sensor Placement Approach in Smart Water Networks

Incidents of water pollution or contamination have occurred repeatedly in recent years, causing significant disasters and negative health impacts. Water quality sensors need to be installed in the water distribution system (WDS) to allow real-time water contamination detection to reduce the risk of water contamination. Deploying sensors in WDS is essential to monitor and detect any pollution incident at the appropriate time. However, it is impossible to place sensors on all nodes of the network due to the relatively large structure of WDS and the high cost of water quality sensors. For that, it is necessary to reduce the cost of deployment and guarantee the reliability of the sensing, such as detection time and coverage of the whole water network. In this paper, a dynamic approach of sensor placement that uses an Evolutionary Algorithm (EA) is proposed and implemented. The proposed method generates a multiple set of water contamination scenarios in several locations selected randomly in the WDS. Each contamination scenario spreads in the water networks for several hours, and then the proposed approach simulates the various effect of each contamination scenario on the water networks. On the other hand, the multiple objectives of the sensor placement optimization problem, which aim to find the optimal locations of the deployed sensors, have been formulated. The sensor placement optimization solver, which uses the EA, is operated to find the optimal sensor placements. The effectiveness of the proposed method has been evaluated using two different case studies on the example of water networks: Battle of the Water Sensor Network (BWSN) and another real case study from Madrid (Spain). The results have shown the capability of the proposed method to adapt the location of the sensors based on the numbers and the locations of contaminant sources. Moreover, the results also have demonstrated the ability of the proposed approach for maximising the coverage of deployed sensors and reducing the time to detect all the water contaminants using a few numbers of water quality sensor

Quality of anti-malarial drugs provided by public and private healthcare providers in south-east Nigeria

BACKGROUND: There is little existing knowledge about actual quality of drugs provided by different providers in Nigeria and in many sub-Saharan African countries. Such information is important for improving malaria treatment that will help in the development and implementation of actions designed to improve the quality of treatment. The objective of the study was to determine the quality of drugs used for the treatment of malaria in a broad spectrum of public and private healthcare providers. METHODS: The study was undertaken in six towns (three urban and three rural) in Anambra state, south-east Nigeria. Anti-malarials (225 samples), which included artesunate, dihydroartemisinin, sulphadoxine-pyrimethamine (SP), quinine, and chloroquine, were either purchased or collected from randomly selected providers. The quality of these drugs was assessed by laboratory analysis of the dissolution profile using published pharmacopoeial monograms and measuring the amount of active ingredient using high performance liquid chromatography (HPLC). FINDINGS: It was found that 60 (37%) of the anti-malarials tested did not meet the United States Pharmacopoeia (USP) specifications for the amount of active ingredients, with the suspect drugs either lacking the active ingredients or containing suboptimal quantities of the active ingredients. Quinine (46%) and SP formulations (39%) were among drugs that did not satisfy the tolerance limits published in USP monograms. A total of 78% of the suspect drugs were from private facilities, mostly low-level providers, such as patent medicine dealers (vendors). CONCLUSION: This study found that there was a high prevalence of poor quality drugs. The findings provide areas for public intervention to improve the quality of malaria treatment services. There should be enforced checks and regulation of drug supply management as well as stiffer penalties for people stocking substandard and counterfeit drugs

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum