Objective: to evaluate the benefit of coverage of
the urethral repair by dorsal dartos flap as a second
layer for preventing fistula and V like incision on
the tip of the glans for preventing meatal stenosis.
Patients and Methods:
Forty five children included in this study age
ranged ( 11 months – 7 years), they underwent
hypospadias repair between December 2008 to
March 2012, all cases with distal hypospadias,
same technique used for all patients, a combination
of techniques used for reconstruction starting
withtubularized incised plate urethroplasty with deepithelialized
or stripping of the skin from both
sides of U shaped incision surrounding the urethral
plate, adding a V like incision on the top (tip of
glans) of the midline urethral plate incision that
give wide meatus subsequently prevent meatal
stenosis and no need for dilatation after stent
removal, followed by harvesting well vascularized
dartos flap from de-epithelialized preputial skin
and transposing itventrally by buttonholing
maneuver and suturing the flap as a second layer
along the neourthral suture line, finally
approximation of glans , so achieving three layer
closure.
Results :All patients are followed for (6 months-
24 months) mean was 15 months, only two patients
(4.4%) complicated with small fistula at the
subcoronal region at the beginning of the study
operated after 6 months and the fistula closed
successfully. Twenty five cases (55.5%) with
Chordee were completely released with no
recurrence. No dilatation was needed after removal
of stent for neomeatus developed a good stream of
urine with no problems regarding stenosis.
Conclusions: In this study hypospadias repair
should achieve three layer closures by using a
dartosfalp as a second layer to cover neourethral
suture line combined with stripping the skin on the
edge of the U shaped incision to gain secure
closure of the neourethra, which will prevent
fistula formation. We recommend adding a
Vincision on the tip of the glans connected with
midline urethral plate incision to prevent meatal
stenosis.
Terrestrial Laser Scanning (TLS) can be used to detect damage and analyze volumetric changes in large structural test specimens. Compared to traditional imaging and surface analysis methods, the primary reason for using 3D scanning is the difficulty of attaching targets to towers of varying heights, as well as the fact that some towers are covered with insulating materials that obscure key landmarks. In addition, the large number of incoming and outgoing pipes and stairs attached to the towers further complicates traditional assessment methods. This research focuses on assessing the damage to the three refining towers at the Baiji Refinery facility. Scanning was performed using a 3D laser scanner with HDR color imaging, capturing da
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Robust statistics Known as, resistance to errors caused by deviation from the stability hypotheses of the statistical operations (Reasonable, Approximately Met, Asymptotically Unbiased, Reasonably Small Bias, Efficient ) in the data selected in a wide range of probability distributions whether they follow a normal distribution or a mixture of other distributions deviations different standard .
power spectrum function lead to, President role in the analysis of Stationary random processes, form stable random variables organized according to time, may be discrete random variables or continuous. It can be described by measuring its total capacity as function in frequency.
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... Show MoreA new and hybrid deep learning-based approach for diagnosing faults in electric vehicle (EV) drive motors is proposed in this article. This article presents a new and hybrid deep learning-based method of diagnosing faults in the drive motors of electric vehicles (EV). In contrast to standard CNNLSTM approaches that depend on SoftMax classification, the introduced framework combines a Random Forest (RF) classifier to enhance the generalization, interpretability, and robustness of fault prediction. Furthermore meant for use on edge computing equipment with IoT integration, the design allows for real-time monitoring in resource-limited settings. The introduced algorithm utilizes a Random Forest (RF) classifier for accurate fault classification
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