156 research outputs found
Laparoscopic resection of nonparasitar splenic cyst
Government Hospital IMSP SR ACSR, Department of Endoscopy and Miniinvasive Surgery, Al XI-lea Congres al Asociației Chirurgilor „Nicolae Anestiadi” din Republica Moldova și cea de-a XXXIII-a Reuniune a Chirurgilor din Moldova „Iacomi-Răzeșu” 27-30 septembrie 2011Introduction: Nonparasitic splenic cysts are rarely disease, and may be congenital or post-traumatic in origin. Traditional management includes total
or partial splenectomy, partial cystectomy with marsupialization, percutaneous drainage, and sclerotherapy. A laparoscopic technique used to minimize
the risk of splenic loss and cyst recurrence is presented.In the current study, we aimed to evaluate the laparoscopic management of patients with nonparasitic splenic cysts together with their long term follow up progresses.Methods: The cases of 5 patients who underwent surgery for spleen cysts at
our hospital over the last 12 years from 1998 to 2010 were analyzed. There are 1 male and 4 female. The mean age was 31 (25 - 36). Symptoms included
left upper quadrant pain and there was no history of trauma. Diagnosis was based on ultrasonography (US), and computed tomography (CT) findings.
The mean size of cysts was 12 (8 – 15) cm. All patients were managed with laparoscopic partial cystectomy using the diathermic monopolar cutting
of the cyst wall and hemostasis by coagulation.Results: All patients had an noncomplicated postoperative course and were discharged home within
3 – 5 days. Operative time was 35 – 90 min., and blood loss was minimal. Pathology finding was a epithelial (mesothelial) cysts. One case (the second
of) the operation was finished by laparoscopic splenectomy immediately after resection of the cyst. Decision for splenectomy was caused to marginal
bleeding and insufficiency of experience in this kind of procedure. Consecutive follow up in 10 years showed the hyperplasia (6 cm. in diameter) of
accessory spleen (initial 1cm. in diameter) in this patient. One patient underwent laparoscopic procedure repeat in two years, but in 3th procedure
the spleen was removed because recurrence and infecting of the cyst. Conclusion: 1.Laparoscopic splenic cystectomy can be performed safely. 2.This
technique preserves the spleen and minimizes the risk of recurrence of the cyst
Multiscale estimation of the field-aligned current density
Field-aligned
currents (FACs) in the magnetosphere–ionosphere (M–I)
system exhibit a range of spatial and temporal scales that are
linked to key dynamic coupling processes. To disentangle the scale
dependence in magnetic field signatures of auroral FACs and to
characterize their geometry and orientation, Bunescu et al. (2015)
introduced the multiscale FAC analyzer framework based on minimum
variance analysis (MVA) of magnetic time series segments. In the
present report this approach is carried further to include in the
analysis framework a FAC density scalogram, i.e., a multiscale
representation of the FAC density time series. The new technique is
validated and illustrated using synthetic data consisting of
overlapping sheets of FACs at different scales. The method is
applied to Swarm data showing both large-scale and quiet aurora as
well as mesoscale FAC structures observed during more disturbed
conditions. We show both planar and non-planar FAC structures as
well as uniform and non-uniform FAC density structures. For both
synthetic and Swarm data, the multiscale analysis is applied by two
scale sampling schemes, namely the linear and logarithmic scanning of the FAC
scale domain. The local FAC density is compared
with the input FAC density for the synthetic data, whereas for the
Swarm data we cross-check the results with well-established single- and
dual-spacecraft techniques. All the multiscale information
provides a new visualization tool for the complex FAC signatures
that complements other FAC analysis tools.</p
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams
The name entity disambiguation task aims to partition the records of multiple
real-life persons so that each partition contains records pertaining to a
unique person. Most of the existing solutions for this task operate in a batch
mode, where all records to be disambiguated are initially available to the
algorithm. However, more realistic settings require that the name
disambiguation task be performed in an online fashion, in addition to, being
able to identify records of new ambiguous entities having no preexisting
records. In this work, we propose a Bayesian non-exhaustive classification
framework for solving online name disambiguation task. Our proposed method uses
a Dirichlet process prior with a Normal * Normal * Inverse Wishart data model
which enables identification of new ambiguous entities who have no records in
the training data. For online classification, we use one sweep Gibbs sampler
which is very efficient and effective. As a case study we consider
bibliographic data in a temporal stream format and disambiguate authors by
partitioning their papers into homogeneous groups. Our experimental results
demonstrate that the proposed method is better than existing methods for
performing online name disambiguation task.Comment: to appear in CIKM 201
Ranking deep web text collections for scalable information extraction
Information extraction (IE) systems discover structured in-formation from natural language text, to enable much richer querying and data mining than possible directly over the unstructured text. Unfortunately, IE is generally a com-putationally expensive process, and hence improving its ef-ficiency, so that it scales over large volumes of text, is of critical importance. State-of-the-art approaches for scaling the IE process focus on one text collection at a time. These approaches prioritize the extraction effort by learning key-word queries to identify the “useful ” documents for the IE task at hand, namely, those that lead to the extraction of structured “tuples. ” These approaches, however, do not at-tempt to predict which text collections are useful for the IE task—and hence merit further processing—and which ones will not contribute any useful output—and hence should be ignored altogether, for efficiency. In this paper, we focus on an especially valuable family of text sources, the so-called deep web collections, whose (remote) contents are only ac-cessible via querying. Specifically, we introduce and study techniques for ranking deep web collections for an IE task, to prioritize the extraction effort by focusing on collections with substantial numbers of useful documents for the task. We study both (adaptations of) state-of-the-art resource se-lection strategies for distributed information retrieval, and IE-specific approaches. Our extensive experimental eval-uation over realistic deep web collections, and for several different IE tasks, shows the merits and limitations of the alternative families of approaches, and provides a roadmap for addressing this critically important building block for efficient, scalable information extraction. 1
Chemoenzymatic microfluidic cascade reaction: Coupling of a diels-alder reaction with a transketolase-catalyzed reaction
A chemoenzymatic microfluidic cascade reaction is demonstrated for the first time, where a Diels-Alder
reaction is followed by a transketolase reaction, for the synthesis of 3,4-dimethylcyclohex-3-ene-2’-keto-1’,3’-
propanediols, which are used as scaffolds for a number of interesting pharmaceutical compounds. For an efficient
organic synthesis, an enzymatic reaction would be advantageous, as it would minimize the number of process steps
by eliminating the need for protective chemistry [1]. However, most catalysts and reactions conditions used with
DA reactions are not compatible with a subsequent enzymatic reaction (issues revolve e.g. around solvent
compatibility, differing reaction rates, and mis-match of pH). We used the spatial confinement of reactions afforded
by cascaded microreactors, which has been well established for enzyme-enzyme reactions [2], to overcome these
challenges and to achieve a chemoenzymatic reaction in continuous flow. Each reaction was optimized individually
or in a step-wise synthesis, considering solvents and catalyst combinations, before being coupled in continuous
flow
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