Görsel peyzaj kalitesi yönünden cadde ağaçlandirmasinda farkli bitkisel tasarim kompozisyonlarının değerlendirilmesi

Street greening in urban settings fails due to several extreme conditions or inappropriate plant species and compositions. In recent years, urban transformations have been carried out in Erzurum, one of the most important cities of the Eastern Anatolia Region of Turkey. Seventeen different planting design compositions produced by digital simulation for the Cumhuriyet Street, the most important street and trade center of the city, were evaluated using visual landscape quality method. The Design Scenarios was sorted by a questioners which was held by 150 participants for sorting color size and form and the results were evaluated in the SPSS statistic software. The most preferred plant designs for the street had spherical form, pink color, slight texture and 1.5-2 meters tall. In addition, the proportion of closure in the plant designs produced in our study was computed and it was compared with the results of the analysis. The results are important in putting the outcomes into practice regarding the participation of public in the reformation of urban living areas.Kentlerde cadde ağaçlandırmaları; uygunsuz bitki türleri kullanımları ve ekstrem koşullardan dolayı çoğu zaman başarısız olur. Türkiye’nin Doğu Anadolu Bölgesi’nin önemli kentlerinden olan Erzurum kenti son yıllarda kentsel dönüşüm süreci içerisine girmiştir. Şehir merkezinde önemli bir odak noktası olan Cumhuriyet Caddesi üzerinde simulasyon tekniği kullanılarak ana aksda 17 farklı bitkisel tasarım çalışması yapılmıştır. Bitkilerle form, ölçü, doku ve renk özelliklerine göre farklı kompozisyonlar oluşturularak alanı kullanan 150 kişi ile birebir anket çalışması yapılmıştır. Anketlerin değerlendirilmesinde SPSS istatistik yazılımı kullanılarak varyans analizi yapılmıştır. Sonuçta en çok yuvarlak/küresel formlu, 1,5-2m uzunluğunda, pembe renkli, hafif tekstürlü ağaçların oluşturduğu bitki kompozisyonu tercih edilmiştir. Buna ilaveten bitkilerin kapalılık oranları hesaplanarak çıkan analiz sonuçları ile karşılaştırılmıştır. Sonuçlar kentsel alan yenileme çalışmalarında halkın katılımının sağlanması açısından önemlidir

A dynamic reconfigurable architecture for hybrid spiking and convolutional FPGA-based neural network designs

This work presents a dynamically reconfigurable architecture for Neural Network (NN) accelerators implemented in Field-Programmable Gate Array (FPGA) that can be applied in a variety of application scenarios. Although the concept of Dynamic Partial Reconfiguration (DPR) is increasingly used in NN accelerators, the throughput is usually lower than pure static designs. This work presents a dynamically reconfigurable energy-efficient accelerator architecture that does not sacrifice throughput performance. The proposed accelerator comprises reconfigurable processing engines and dynamically utilizes the device resources according to model parameters. Using the proposed architecture with DPR, different NN types and architectures can be realized on the same FPGA. Moreover, the proposed architecture maximizes throughput performance with design optimizations while considering the available resources on the hardware platform. We evaluate our design with different NN architectures for two different tasks. The first task is the image classification of two distinct datasets, and this requires switching between Convolutional Neural Network (CNN) architectures having different layer structures. The second task requires switching between NN architectures, namely a CNN architecture with high accuracy and throughput and a hybrid architecture that combines convolutional layers and an optimized Spiking Neural Network (SNN) architecture. We demonstrate throughput results from quickly reprogramming only a tiny part of the FPGA hardware using DPR. Experimental results show that the implemented designs achieve a 7× faster frame rate than current FPGA accelerators while being extremely flexible and using comparable resources

Hematological Manifestations in Brucellosis Cases in Turkey

The hematological findings of 233 patients with brucellosis are presented and the possible pathologies discussed. Anemia was present in 128 patients (55%), leukopenia in 49 (21%) and thrombocytopenia in 59 (26%). Bone marrow aspirates of 18 patients (8%) with pancytopenia were examined. The bone marrow was hypercellular in 15 and normocellular in 3 patients. Granulomatous lesions were detected in 12 cases (67%), and slight to moderate cytophagocytosis of erythrocytes, granulocytes and platelets existed in all patients. Blood cell counts reverted to normal within 2-3 weeks of initiating chemotherapy with recovery from the disease.</p

BolT: Fused Window Transformers for fMRI Time Series Analysis

Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for contextual representations across diverse time scales. Here, we present BolT, a blood-oxygen-level-dependent transformer model, for analyzing multi-variate fMRI time series. BolT leverages a cascade of transformer encoders equipped with a novel fused window attention mechanism. Encoding is performed on temporally-overlapped windows within the time series to capture local representations. To integrate information temporally, cross-window attention is computed between base tokens in each window and fringe tokens from neighboring windows. To gradually transition from local to global representations, the extent of window overlap and thereby number of fringe tokens are progressively increased across the cascade. Finally, a novel cross-window regularization is employed to align high-level classification features across the time series. Comprehensive experiments on large-scale public datasets demonstrate the superior performance of BolT against state-of-the-art methods. Furthermore, explanatory analyses to identify landmark time points and regions that contribute most significantly to model decisions corroborate prominent neuroscientific findings in the literature

Is mean platelet volume associated with the angiographic severity of coronary artery disease?

Background: Platelet activation and aggregation play key roles both in the pathogenesis of atherosclerosis and in the developmentof acute thrombotic events. Platelet volume is a marker of platelet activation and function, and is measured usingmean platelet volume (MPV).Aim: To determine the relationship between MPV and angiographic Gensini and SYNTAX scores, which give informationabout the severity and complexity of coronary artery disease (CAD).Methods: This study included 435 consecutive patients undergoing elective coronary angiography. The complete blood countand biochemical examination of blood were obtained after 12 h of fasting. The independent association between MPV andthe severity of CAD was statistically evaluated using PASW Statistics 18 for Windows.Results: Mean age of the study population was 58.4 ± 9.3 years, of whom 196 were female (45.1%) and 239 male (54.9%).Of the patients, 63.2% had CAD, 31.7% had diabetes mellitus, 61.8% had hypertension, 56.6% had hyperlipidaemia, and38.6% were smokers. Mean Gensini score was 20.7 ± 31.1. According to Gensini scores, 160 of the patients (36.8%) hadnormal coronary arteries (Gensini score: 0), 134 of the patients (30.8%) had minimal CAD (Gensini score: 1–19), and 141 ofthem (32.4%) had severe CAD (Gensini score ? 20). Mean MPV values were 8.4 ± 1.0 fL in the group that had no CAD,8.7 ± 1.0 fL in the group with minimal CAD, and 9.3 ± 1.5 fL in the group with severe CAD. According to Spearman correlationanalysis, the positive relationship found between MPV and Gensini score was statistically significant (p < 0.001,r = 0.290). Likewise, SYNTAX score was also associated with MPV (p < 0.001, r = 0.504).Conclusions: We determined a positive correlation between MPV and Gensini and SYNTAX scores. Therefore, this simplehaematology test can be used in determining cardiovascular disease burden besides other risk factors during routine clinicalpractice. For further information about this topic, large-scale studies are needed

Thickening of the epicardial adipose tissue can be alleviated by thyroid hormone replacement therapy in patients with subclinical hypothyroidism

Background: Subclinical hypothyroidism (SCH) is a common disorder which has adverse cardiovascular effects. Epicardial adipose tissue (EAT), a novel marker of cardiovascular risk, is increased in SCH. Aim: We aimed to investigate whether L-thyroxine treatment can reverse the thickening of EAT in SCH. Methods: Forty-four patients with SCH and 42 euthyroid control subjects were included. EAT thickness was measured using transthoracic echocardiography at baseline and after restoration of the euthyroid status with 3 months of L-thyroxine treatment. Results: At baseline, mean EAT thickness was significantly greater in the SCH group when compared to the control group (6.3 ± 1.7 mm vs. 4.1 ± 0.9 mm, respectively, p < 0.001). There was a significant positive correlation between baseline serum thyroid stimulating hormone (TSH) level and EAT thickness in the SCH group. There was a significant reduction in mean EAT thickness in response to L-thyroxine treatment (6.3 ± 1.7 mm vs. 5.1 ± 1.4 mm, p < 0.001). The decrease in EAT thickness after L-thyroxine treatment when compared to baseline (DEAT) significantly correlated to the difference in TSH levels before and after treatment (DTSH; r = 0.323; p = 0.032). Conclusions: Epicardial adipose tissue thickness is increased in patients with SCH. This thickening was alleviated with restoration of the euthyroid status with L-thyroxine treatment in our study population of predominantly male, relatively old subjects with greater baseline EAT thickness

Cutaneous manifestations of anthrax in Eastern Anatolia: a review of 39 cases.

Anthrax is essentially a disease of grazing herbivorous animals. The most common form of the disease is cutaneous anthrax, which accounts for 95% of all cases. We report here 39 cutaneous anthrax cases in humans that were seen in Eastern Anatolia over a six-year period. The clinical presentation was malignant edema in 16 of the cases (41%) and malignant pustule in 23 (59%). A secondary bacterial infection was present in 13 patients (33.3%) in the vicinity of the lesions. The agent was observed using Gram-stained smears in 25 patients (64%), and Bacillus anthracis was isolated from 15 patients (38.5%). All of the patients were treated with penicillin G or penicillin procaine, except one patient who had a penicillin allergy. One patient with cervical edema (2.5%) died as a result of laryngeal edema and sepsis syndrome. In conclusion, we found that the appearance of the skin lesion of cutaneous anthrax may vary, and this fact, combined with the rarity of this disease, which contributes to a general lack of experience among medical personnel, may make diagnosis difficult in nonagricultural settings</p

Temperature and pH-dependent behaviors of mAb drugs: A case study for trastuzumab

The distortions in the high-order structure of therapeutic monoclonal antibodies (mAbs) under different environmental conditions acutely affect mAb stability, resulting in altered safety, efficacy, and shelf-life profiles. The overall stability of mAbs depends on many factors, and it requires complementary techniques for an in-depth analysis. The stability of mAbs can be characterized by differential centrifugal sedimentation (DCS), differential scanning calorimetry (DSC), differential scanning fluorimetry (DSF), and size exclusion chromatography (SEC) techniques. In this report, temperature-ramped dynamic light scattering (DLS), and circular dichroism (CD) spectroscopy were employed as complementary tools to show how temperature and pH affect the aggregation of a model mAb, trastuzumab, in solution. The results showed that the aggregation onset temperature of trastuzumab defined by DLS was 75 degrees C, which decreases the amount of beta-sheets and causes a slight increase in helix structures. Moreover, the melting temperature of trastuzumab was determined to be between 80-83 degrees C by temperature-ramped CD spectrophotometry, which is in line with the Tm of trastuzumab's Fab region tested with DSC. Thus, unfolding and aggregation of trastuzumab start simultaneously at 75 degrees C, and unfolding triggers the aggregation. The temperature-ramped CD and DLS methods are robust tools to determine the thermal behavior of biosimilars in various solution conditions. Their complementary usage provides solid scientific background for regulatory applications and a better understanding of mAb instability and its relationship with structural changes

Plasmonic titanium nitride nanohole arrays for refractometric sensing

Group IVB metal nitrides have attracted great interest as alternative plasmonic materials. Among them, titanium nitride (TiN) stands out due to the ease of deposition and relative abundance of Ti compared to those of Zr and Hf metals. Even though they do not have Au or Ag-like plasmonic characteristics, they offer many advantages, from high mechanical stability to refractory behavior and complementary metal oxide semiconductor-compatible fabrication to tunable electrical/optical properties. In this study, we utilized reactive RF magnetron sputtering to deposit plasmonic TiN thin films. The flow rate and ratio of Ar/N2 and oxygen scavenging methods were optimized to improve the plasmonic performance of TiN thin films. The stoichiometry and structure of the TiN thin films were thoroughly investigated to assess the viability of the optimized operation procedures. To assess the plasmonic performance of TiN thin films, periodic nanohole arrays were perforated on TiN thin films by using electron beam lithography and reactive ion etching methods. The resulting TiN periodic nanohole array with varying periods was investigated by using a custom microspectroscopy setup for both reflection and transmission characteristics in various media to underline the efficacy of TiN for refractometric sensing.101111321 ; EP/Y030273/

Sub- and super-shear ruptures during the 2023 Mw 7.8 and Mw 7.6 earthquake doublet in SE Türkiye

An earthquake doublet (Mw 7.8 and Mw 7.6) occurred on the East Anatolian Fault Zone (EAFZ) on February 6th, 2023. The events produced significant ground motions and caused major impacts to life and infrastructure throughout SE Türkiye and NW Syria. Here we show the results of earthquake relocations of the first 11 days of aftershocks and rupture models for both events inferred from the kinematic inversion of HR-GNSS and strong motion data considering a multi-fault, 3D geometry. We find that the first event nucleated on a previously unmapped fault before transitioning to the East Anatolian Fault (EAF) rupturing for ~350 km and that the second event ruptured the Sürgü fault for ~160 km. Maximum rupture speeds were estimated to be 3.2 km/s for the Mw 7.8 event. For the Mw 7.6 earthquake, we find super-shear rupture at 4.8 km/s westward but sub-shear eastward rupture at 2.8 km/s. Peak slip for both events were as large as ~8m and ~6m, respectively