Ocurrencia de individuos bisexuados y con anomalías en flores y frutos en dos clones de Populus deltoides Marsh. cultivados en la Argentina

p.265-26

Relation between the frequency of CD34+ bone marrow derived circulating progenitor cells and the number of diseased coronary arteries in patients with myocardial ischemia and diabetes

<p>Abstract</p> <p>Background</p> <p>Bone marrow-derived circulating progenitor cells (BM-CPCs) in patients with coronary heart disease are impaired with respect to number and mobilization. However, it is unknown whether the mobilization of BM-CPCs depends on the number of diseased coronary arteries. Therefore, in our study, we analysed the correlation between the diseased coronary arteries and the frequency of CD34/45+ BM-CPCs in peripheral blood (PB) in patients with ischemic heart disease (IHD).</p> <p>Methods</p> <p>The frequency of CD34/45⁺BM-CPCs was measured by flow cytometry in 120 patients with coronary 1 vessel (IHD1, n = 40), coronary 2 vessel (IHD2, n = 40), coronary 3 vessel disease (IHD3, n = 40) and in a control group of healthy subjects (n = 40). There was no significant difference of the total number of cardiovascular risk factors between IHD groups, beside diabetes mellitus (DM), which was significantly higher in IHD3 group compared to IHD2 and IHD1 groups.</p> <p>Results</p> <p>The frequency of CD34/45⁺BM-CPCs was significantly reduced in patients with IHD compared to the control group (CD34/45⁺; p < 0.001). The frequency of BM-CPCs was impaired in patients with IHD3 compared to IHD1 (CD34/45⁺; p < 0.001) and to IHD2 (CD34/45⁺; p = 0.001). But there was no significant difference in frequency of BM-CPCs between the patients with IHD2 and IHD1 (CD34/45⁺; p = 0.28). In a subgroup we observed a significant negative correlation between levels of hemoglobin AIc (HbAIc) and the frequency of BM-CPCs (CD34/45⁺; p < 0.001, r = -0.8).</p> <p>Conclusions</p> <p>The frequency of CD34/45⁺BM-CPCs in PB is impaired in patients with IHD. This impairment may augment with an increased number of diseased coronary arteries. Moreover, the frequency of CD34/45⁺BM-CPCs in ischemic tissue is further impaired by diabetes in patients with IHD.</p

Role of lipid apheresis in changing times

During the last decades, LDL-apheresis was established as an extracorporeal treatment option for patients with severe heterozygous or homozygous familial hypercholesterolemia (FH) that is resistant to conventional treatment strategies such as diet, drugs, and changes in lifestyle. Nearly half a century ago, the first LDL-apheresis treatment was performed by plasma exchange in a child with homozygous FH

Automatische Verarbeitung von Spontansprachinterviews des Aachener Aphasie Tests mittels Verfahren des maschinellen Lernens

Aphasia is an acquired speech disorder that can occur after a lesion of the brain areas involved in speech processing and affects all linguistic modalities. Among other things, those affected have difficulties in finding words, reading and writing, and naming objects. In order to obtain information about the extent of the damage, various test procedures are applied worldwide. While the Boston Diagnostic Aphasia Examination is used in the Anglo-American region, the Aachen Aphasia Test (AAT) is the gold standard in Germany. The entry point into the AAT is a semi-standardized interview with the patient, called the spontaneous speech test, which is carried out by an examiner. The interview makes it possible to evaluate the patient's spontaneous speech skills at six different levels of description. Subsequent to the AAT, the interview is transcribed and evaluated by the examiner in a time-consuming procedure. The topic of the present work is to investigate the automation of this process. In the thesis, algorithms from the domains of machine learning and computational linguistics are investigated and integrated in an accompanying automatic support system for the examiner, called autoAAT. In particular, the work focuses on challenges in the areas of automatic speech separation, speech recognition and analysis. On the basis of the system architecture of the autoAAT and its classification within the information management domain, all three aforementioned areas are addressed in the work by components and solutions are developed

Automatische Verarbeitung von Spontansprachinterviews des Aachener Aphasie Tests mittels Verfahren des maschinellen Lernens

Aphasia is an acquired speech disorder that can occur after a lesion of the brain areas involved in speech processing and affects all linguistic modalities. Among other things, those affected have difficulties in finding words, reading and writing, and naming objects. In order to obtain information about the extent of the damage, various test procedures are applied worldwide. While the Boston Diagnostic Aphasia Examination is used in the Anglo-American region, the Aachen Aphasia Test (AAT) is the gold standard in Germany. The entry point into the AAT is a semi-standardized interview with the patient, called the spontaneous speech test, which is carried out by an examiner. The interview makes it possible to evaluate the patient's spontaneous speech skills at six different levels of description. Subsequent to the AAT, the interview is transcribed and evaluated by the examiner in a time-consuming procedure. The topic of the present work is to investigate the automation of this process. In the thesis, algorithms from the domains of machine learning and computational linguistics are investigated and integrated in an accompanying automatic support system for the examiner, called autoAAT. In particular, the work focuses on challenges in the areas of automatic speech separation, speech recognition and analysis. On the basis of the system architecture of the autoAAT and its classification within the information management domain, all three aforementioned areas are addressed in the work by components and solutions are developed