The use of a cervical dilatation graph in the management of primigravidae in labour.
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The construction of an 'inductograph' is described which defines the rates of progress of the latent phase of labour in 80 per cent of a group of patients selected from a 'low risk' category. A standard induction regime was used, and changes in the uterine cervix were assessed quantitatively by a modified form of the Bishop scoring system.
A rate responsive dual chamber pacemaker system (Medtronic Inc.) was implanted without complications. At 6-week postimplantation a routine pacemaker check showed a spontaneous switch from programmed bipolar pace-sense to unipolar pace-sense on the atrial and ventricular leads. Pacing and sensing thresholds were not significantly changed from implantation. The atrial and ventricular lead impedances increased from 680 and 720 ohms at implantation to 1,290 and 2,400 ohms, respectively. The device was reprogrammed to bipolar pace-sense and the continuous lead telemetry trend option was programmed On. Evaluation of the system 1 month later revealed a decrease in atrial and ventricular lead impedances, 680 and 2,100 ohms, without a change in pace-sense polarity. One month later, the lead polarity had again switched from programmed bipolar to unipolar pace-sense. The lead trend data revealed stable atrial impedances with sporadic increases in the ventricular lead impedance to values > 3,000 ohms. The pacemaker lead system was invasively investigated and visible gross corrosion of the ventricular lead distal connector pin was discovered.
This manuscript presents a method for pre-computing and storing molecular features or ''scaffolds'' that can be used for rapid clustering of diverse compound sets within the context of a relational database based on hierarchies of scaffold structures. In addition, a method for rapid structure-based profiling of a large compound collection is demonstrated. Pre-organizing compounds by shared structural features in this way facilitates the merger of chemical features and biological data within a relational database.
Reports to the author's hospital's board of directors on quality, risk management, infection control, and safety issues were complex and lengthy. Board members found the reports uninteresting and difficult to understand. To improve the reports, several ongoing measurements were identified from key areas, teams, and functions, and were reported graphically. These measurements now are reported on a quarterly basis; they include results from the current time period and the previous time period, as well as benchmarking goals. The revised presentation of material has been well received by the hospital's board, medical executive committee, and administrative staff.
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Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
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Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
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We present a method for high-throughput alternative splicing detection in expressed sequence data. This method effectively copes with many of the problems inherent in making inferences about splicing and alternative splicing on the basis of EST sequences, which in addition to being fragmentary and full of sequencing errors, may also be chimeric, misoriented, or contaminated with genomic sequence. Our method, which relies both on the Partial Order Alignment (POA) program for constructing multiple sequence alignments, and its Heaviest Bundling function for generating consensus sequences, accounts for the real complexity of expressed sequence data by building and analyzing a single multiple sequence alignment containing all of the expressed sequences in a particular cluster aligned to genomic sequence. We illustrate application of this method to human UniGene Cluster Hs.1162, which contains expressed sequences from the human HLA-DMB gene. We have used this method to generate databases, published elsewhere, of splices and alternative splicing relationships for the human, mouse and rat genomes. We present statistics from these calculations, as well as the CPU time for running our method on expressed sequence clusters of varying size, to verify that it truly scales to complete genomes.
In previous work, the limit structure of positive and negative finite threshold boolean networks without inputs (TBNs) over the complete digraph K(n) was analyzed and an algorithm was presented for computing this structure in polynomial time. Those results are generalized in this paper to cover the case of arbitrary TBNs over K(n). Although the limit structure is now more complicated, containing, not only fixed-points and cycles of length 2, but possibly also cycles of arbitrary length, a simple algorithm is still available for its determination in polynomial time. Finally, the algorithm is generalized to cover the case of symmetric finite boolean networks over K(n).