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Damascus University ورقة بحثية
Publication date
2006
fields
Medicine
and research's language is
العربية
Authors
معين اسبر( باحث )
Created by
Shamra Editor
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تشكل الحاصات في الفروة من أصول مختلفة (رضـية – نـدبات الحـروق – جراحية ....) تطبيقات رئيسية للعلاج بالتوسيع الجلدي. منذ عام 1997 و عبر ثماني سنوات أُسستْ تجربة بالموسعات الجلدية ( في مشفى المواساة الجامعي ) بأماكن مختلفة من الجسم لأكثر من 80 مريضاً، كان منهم 23 مريـضاً (31) % في مستوى الفروة. وصِفَتْ و شُرِحت في هذه التجربة تم التقنية الجراحية و مختلف أنـواع الـشرائح الجلديـة المستعملة و تم وصف المواد المستعملة، كما شرحت المضاعفات و وضحتْ ذلـك بـصور فوتوغرافية للحالات المرضية خلال مراحل العلاج المختلفة. كما أجريت مقارنة النتائج لدينا مع نتائج دراسات عالمية مختلفة واسعة و حديثة.
No English abstract
References used
Manders E.K.,Schenden M.J., Furrey J.A.- soft tissue expansion: concepts and complication. Plast reconst Surg.1984;47:493
Austad E.D. the origin of expanded tissue. clin plast surg .1987;14,3
Gnaig A., Vander K., John J.:Some further characteristics of expander tissue.clin plas.Surg-vol.14Nº3,447-453,1987
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Multi-head self-attention recently attracts enormous interest owing to its specialized functions, significant parallelizable computation, and flexible extensibility. However, very recent empirical studies show that some self-attention heads make litt
le contribution and can be pruned as redundant heads. This work takes a novel perspective of identifying and then vitalizing redundant heads. We propose a redundant head enlivening (RHE) method to precisely identify redundant heads, and then vitalize their potential by learning syntactic relations and prior knowledge in the text without sacrificing the roles of important heads. Two novel syntax-enhanced attention (SEA) mechanisms: a dependency mask bias and a relative local-phrasal position bias, are introduced to revise self-attention distributions for syntactic enhancement in machine translation. The importance of individual heads is dynamically evaluated during the redundant heads identification, on which we apply SEA to vitalize redundant heads while maintaining the strength of important heads. Experimental results on widely adopted WMT14 and WMT16 English to German and English to Czech language machine translation validate the RHE effectiveness.
This Paper offers an innovative way for auto segmentation of the fetal head in
ultrasound US images. There is high amount of noise in US images, which it affects the
visual appearance of the area of head. The research depends on auto segmentation
mechanism without the need for user intervention at any stage of proposed method, so this
is what makes segmentation process is difficult and important at the same, because the
weakness of the edges and not fully enclosed in the desired region. We relied on a Level
Set method to segment the head area, after determining the initial contour automatically by
the Region Properties Function. The proposed method proves effective in the head area
segmentation without being influenced by noise or the existence of discontinuities in the
edges of the head, despite the absence of a pre-processing stage in a series of steps applied
to several ultrasound images in different sizes and sources. The last step is to calculate the
secondary diameter of the output ellipse (the fetal head sector) depending on the properties
of the region, and this final measurement represents the Bi Parietal Diameter BPD, an
important measure enables the physician to assess gestational age and determine the birth
of the fetus date. Segmentation result has been authenticated based on similarity criteria,
and the final measurement accuracy has been compared with manual measurements carried
out by a specialist. The comparison results showed the effectiveness of the proposed
algorithm and its success by up to 98%.
We describe work in progress for training a humanoid robot to produce iconic arm and head gestures as part of task-oriented dialogue interaction. This involves the development and use of a multimodal dialog manager for non-experts to quickly program'
the robot through speech and vision. Using this dialog manager, videos of gesture demonstrations are collected. Motor positions are extracted from these videos to specify motor trajectories where collections of motor trajectories are used to produce robot gestures following a Gaussian mixtures approach. Concluding discussion considers how learned representations may be used for gesture recognition by the robot, and how the framework may mature into a system to address language grounding and semantic representation.
تحدث سرطانات الأذن و الأنف و الحنجرة عند الأطفال في العقد اللمفية للعنق، و في البلعوم الأنفي،
و جوف الأنف و الجيوب، و في جوف الفم و البلعوم، و في الأنسجة الرخوة للوجه و العنق.
نصف هذه السرطانات تقريباً ٤٨،٤١% هي لمفومات، و هي لمفوما إما لاهودجكن فـ
ي عناصـر
حلقة فالداير، أو لمفوما هودجكن في العقد اللمفية.
و ربع هذه السرطانات تقريباً هي أغرن (ساركوما) ٦٥،٢٦ % و خاصة الأغران العضلية المخططة
% ١٧،٧٧
السرطانة (كارسينوما) المالبيكية نادرة ما عدا إصابة البلعوم الأنفي بشكل كارسينوما غير متميزة
% ١٤,٨١ بنسبة
تحدث أورام الأرومة العصبية بنسبة أقل، و خاصة الأرومة الشمية بنسبة ٣٧,١٠ %.
Legal judgment prediction (LJP) usually consists in a text classification task aimed at predicting the verdict on the basis of the fact description. The literature shows that the use of articles as input features helps improve the classification perf
ormance. In this work, we designed a verdict prediction task based on landlord-tenant disputes and we applied BERT-based models to which we fed different article-based features. Although the results obtained are consistent with the literature, the improvements with the articles are mostly obtained with the most frequent labels, suggesting that pre-trained and fine-tuned transformer-based models are not scalable as is for legal reasoning in real life scenarios as they would only excel in accurately predicting the most recurrent verdicts to the detriment of other legal outcomes.
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