Charge-qubit operation of an isolated double quantum dot

We have investigated coherent time evolution of pseudo-molecular states of an isolated (leadless) silicon double quantum-dot, where operations are carried out via capacitively-coupled elements. Manipulation is performed by short pulses applied to a nearby gate, and measurement is performed by a single-electron transistor. The electrical isolation of this qubit results in a significantly longer coherence time than previous reports for semiconductor charge qubits realized in artificial molecules.Comment: 4 journal pages, 4 figures, Lette

DETERMINATION OF RATIO OF BED LOAD ENTERING INTO LATERAL INTAKE USING BACKPROPAGATION NEURAL NETWORK

Geçen bir kaç yıl içerisinde, inşaat mühendisliğindeki bilgisayarlı hesaplamalarda Yapay Zeka uygulamaları ilk sırayı almıştır. Bu uygulamalar genellikle uzman sistemleri içermektedir. Bu makalede değişik bir Yapay Zeka yaklaşımı olan yapay sinir ağlarına (YSA) değinilmiş ve bir uygulama sunulmuştur. Yapay sinir ağları lineer olmayan bir yapıya sahiptir. Bu durum YSA ları her alana uygulanabilir hale getirmiştir. Sonuçlara çok kısa zamanda yaklaşmadaki etkinliği diğer yaklaşım metotlarına göre onu bir tercih sebebi yapmıştır. Bu çalışmada, dolu gövdeli bağlamalarda ayırma duvarının etkisi dikkate alınarak yanal su alma yapısına yönelecek olan sürüntü maddesi oranı geriye yayılma yapay sinir ağı yöntemi ile tespit edilmiştir. Problemin eğitim setinde DSİ (1989) tarafından yapılan deneysel veriler kullanılmıştır. Problemin değişkenleri ağa normalizasyon tekniği ile tanıtılmıştır. Eğitilen YSA, daha önce eğitme sırasında kullanılmayan deney verileri ile test edildiğinde sonuçların oldukça uygun olduğu görülmüştür. Bu çalışma, yapay sinir ağı hesaplamalarının inşaat mühendisliğinde karar verme ve tasarım için alternatif bir çözüm olduğunu ortaya koymaktadır. In the past few years computation on Civil Engineering has been concentrated primarily on artificial intelligence (AI) applications, which generally consider expert systems. This article deals with a different AI approach using the benefits of Neural networks and presents its usefulness on an application. Artificial neural networks have nonlinear performance and by this a satisfactory approachment to the results in a very short time, even in the learning phase of procedure can be achieved. This capability makes it preferable according to the other approaching methods. In this study, ratio of bed load entering into lateral intake at weirs is determined by a backpropagation Neural Network method. The training sets in the application of the Neural Network are performed by means of experimental results provided by DSİ (1989). Variables concerning the problem are introduced to the Neural Network by normalization technique. After Neural Network is trained, it is observed that the results were satisfactory on the previously unused data in the training sets. This research work showed clearly that the Neural Network computation is an reasonable alternative solution for decision making and design criterias in the field of Civil Engineering

DETERMINATION OF RATIO OF BED LOAD ENTERING INTO LATERAL INTAKE USING BACKPROPAGATION NEURAL NETWORK

Geçen bir kaç yıl içerisinde, inşaat mühendisliğindeki bilgisayarlı hesaplamalarda Yapay Zeka uygulamaları ilk sırayı almıştır. Bu uygulamalar genellikle uzman sistemleri içermektedir. Bu makalede değişik bir Yapay Zeka yaklaşımı olan yapay sinir ağlarına (YSA) değinilmiş ve bir uygulama sunulmuştur. Yapay sinir ağları lineer olmayan bir yapıya sahiptir. Bu durum YSA ları her alana uygulanabilir hale getirmiştir. Sonuçlara çok kısa zamanda yaklaşmadaki etkinliği diğer yaklaşım metotlarına göre onu bir tercih sebebi yapmıştır. Bu çalışmada, dolu gövdeli bağlamalarda ayırma duvarının etkisi dikkate alınarak yanal su alma yapısına yönelecek olan sürüntü maddesi oranı geriye yayılma yapay sinir ağı yöntemi ile tespit edilmiştir. Problemin eğitim setinde DSİ (1989) tarafından yapılan deneysel veriler kullanılmıştır. Problemin değişkenleri ağa normalizasyon tekniği ile tanıtılmıştır. Eğitilen YSA, daha önce eğitme sırasında kullanılmayan deney verileri ile test edildiğinde sonuçların oldukça uygun olduğu görülmüştür. Bu çalışma, yapay sinir ağı hesaplamalarının inşaat mühendisliğinde karar verme ve tasarım için alternatif bir çözüm olduğunu ortaya koymaktadır. In the past few years computation on Civil Engineering has been concentrated primarily on artificial intelligence (AI) applications, which generally consider expert systems. This article deals with a different AI approach using the benefits of Neural networks and presents its usefulness on an application. Artificial neural networks have nonlinear performance and by this a satisfactory approachment to the results in a very short time, even in the learning phase of procedure can be achieved. This capability makes it preferable according to the other approaching methods. In this study, ratio of bed load entering into lateral intake at weirs is determined by a backpropagation Neural Network method. The training sets in the application of the Neural Network are performed by means of experimental results provided by DSİ (1989). Variables concerning the problem are introduced to the Neural Network by normalization technique. After Neural Network is trained, it is observed that the results were satisfactory on the previously unused data in the training sets. This research work showed clearly that the Neural Network computation is an reasonable alternative solution for decision making and design criterias in the field of Civil Engineering

Deep electronic states in ion-implanted Si

In this paper we present an overview of the deep states present after ion-implantation by various species into n-type silicon, measured by Deep Level Transient Spectroscopy (DLTS) and high resolution Laplace DLTS (LDLTS). Both point and small extended defects are found, prior to any anneal, which can therefore be the precursors to more detrimental defects such as end of range loops. We show that the ion mass is linked to the concentrations of defects that are observed, and the presence of small interstitial clusters directly after ion implantation is established by comparing their behaviour with that of electrically active stacking faults. Finally, future applications of the LDLTS technique to ion-implanted regions in Si-based devices are outlined.</p

Photocatalytic Activity of Mesoporous Graphitic Carbon Nitride (mpg-C3N4) Towards Organic Chromophores Under UV and VIS Light Illumination

A template-assisted synthetic method including the thermal polycondensation of guanidine hydrochloride (GndCl) was utilized to synthesize highly-organized mesoporous graphitic carbon nitride (mpg-C3N4) photocatalysts. Comprehensive structural analysis of the mpg-C3N4 materials were performed by XPS, XRD, FT-IR, BET and solid-state NMR spectroscopy. Photocatalytic performance of the mpg-C3N4 materials was studied for the photodegradation of several dyes under visible and UV light illumination as a function of catalyst loading and the structure of mpg-C3N4 depending on the polycondensation temperature. Among all of the formerly reported performances in the literature (including the ones for Degussa P25 commercial benchmark), currently synthesized mpg-C3N4 photocatalysts exhibit a significantly superior visible light-induced photocatalytic activity towards rhodamine B (RhB) dye. Enhanced catalytic efficiency could be mainly attributed to the terminated polycondensation process, high specific surface area, and mesoporous structure with a wide pore size distribution. © 2016, Springer Science+Business Media New York

Thrombotic gene polymorphisms and postoperative outcome after coronary artery bypass graft surgery

<p>Abstract</p> <p>Background</p> <p>Emerging perioperative genomics may influence the direction of risk assessment and surgical strategies in cardiac surgery. The aim of this study was to investigate whether single nucleotide polymorphisms (SNP) affect the clinical presentation and predispose to increased risk for postoperative adverse events in patients undergoing coronary artery bypass grafting surgery (CABG).</p> <p>Methods</p> <p>A total of 220 patients undergoing first-time CABG between January 2005 and May 2008 were screened for factor V gene G1691A (FVL), prothrombin/factor II G20210A (PT G20210A), angiotensin I-converting enzyme insertion/deletion (ACE-ins/del) polymorphisms by PCR and Real Time PCR. End points were defined as death, myocardial infarction, stroke, postoperative bleeding, respiratory and renal insufficiency and event-free survival. Patients were compared to assess for any independent association between genotypes for thrombosis and postoperative phenotypes.</p> <p>Results</p> <p>Among 220 patients, the prevalence of the heterozygous FVL mutation was 10.9% (n = 24), and 3.6% (n = 8) were heterozygous carriers of the PT G20210A mutation. Genotype distribution of ACE-ins/del was 16.6%, 51.9%, and 31.5% in genotypes I/I, I/D, and D/D, respectively. FVL and PT G20210A mutations were associated with higher prevalence of totally occluded coronary arteries (p < 0.001). Furthermore the risk of left ventricular aneurysm formation was significantly higher in FVL heterozygote group compared to FVL G1691G (<it>p </it>= 0.002). ACE D/D genotype was associated with hypertension (<it>p </it>= 0.004), peripheral vascular disease (p = 0.006), and previous myocardial infarction (<it>p </it>= 0.007).</p> <p>Conclusions</p> <p>FVL and PT G20210A genotypes had a higher prevalence of totally occluded vessels potentially as a result of atherothrombotic events. However, none of the genotypes investigated were independently associated with mortality.</p

Aspiration–sclerotherapy Results in Effective Control of Liver Volume in Patients with Liver Cysts

Purpose To study the extent to which aspiration–sclerotherapy reduces liver volume and whether this therapy results in relief of symptoms. Results Four patients, group I, with isolated large liver cysts, and 11 patients, group II, with polycystic livers, underwent aspiration–sclerotherapy. Average volume of aspirated cyst fluid was 1,044 ml (range 225–2,000 ml) in group I and 1,326 ml (range 40–4,200 ml) in group II. Mean liver volume before the procedure was 2,157 ml (range 1,706–2,841 ml) in group I and 4,086 ml (range 1,553–7,085 ml) in group II. This decreased after the procedure to 1,757 ml (range 1,479–2,187 ml) in group I. In group II there was a statistically significant decrease to 3,347 ml (range 1,249–6,930 ml, P = 0.008). Volume reduction was 17.1% (range −34.7% to −4.1%) and 19.2% (range −53.9% to +2.4%) in groups I and II, respectively. Clinical severity of all symptoms decreased, except for involuntary weight loss and pain in group II. Conclusion Aspiration–sclerotherapy is an effective means of achieving liver volume reduction and relief of symptoms

Age- and region-specific hepatitis B prevalence in Turkey estimated using generalized linear mixed models: a systematic review

Toy M, Önder FO, Wörmann T, et al. Age- and region-specific hepatitis B prevalence in Turkey estimated using generalized linear mixed models: a systematic review. BMC infectious diseases. 2011;11(1): 337.BACKGROUND: To provide a clear picture of the current hepatitis B situation, the authors performed a systematic review to estimate the age- and region-specific prevalence of chronic hepatitis B (CHB) in Turkey. METHODS: A total of 339 studies with original data on the prevalence of hepatitis B surface antigen (HBsAg) in Turkey and published between 1999 and 2009 were identified through a search of electronic databases, by reviewing citations, and by writing to authors. After a critical assessment, the authors included 129 studies, divided into categories: 'age-specific'; 'region-specific'; and 'specific population group'. To account for the differences among the studies, a generalized linear mixed model was used to estimate the overall prevalence across all age groups and regions. For specific population groups, the authors calculated the weighted mean prevalence. RESULTS: The estimated overall population prevalence was 4.57, 95% confidence interval (CI): 3.58, 5.76, and the estimated total number of CHB cases was about 3.3 million. The outcomes of the age-specific groups varied from 2.84, (95% CI: 2.60, 3.10) for the 0-14-year olds to 6.36 (95% CI: 5.83, 6.90) in the 25-34-year-old group. CONCLUSION: There are large age-group and regional differences in CHB prevalence in Turkey, where CHB remains a serious health problem