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In this study, carbon nanotube supported Pd catalysts (Pd/CNT) are synthesized at different weight percentages by the sodium borohydride (NaBH4) reduction method to investigate catalytic performance of glucose electrooxidation reaction. 0.5% Pd/CNT, 3% Pd/CNT, and 7% Pd/CNT catalysts are characterized by using X-ray diffraction (XRD), electron microscopy with energy dispersive X-ray (SEM-EDX), and N2 adsorption-desorption measurements. The average particle size and surface area of 3% Pd/CNT catalyst are determined as 46.33 nm and 129.48 m2/g, respectively. Characterization results indicate that Pd/CNT catalysts are successfully prepared by NaBH4 reduction method. Cyclic voltammetry measurements are performed to investigate the effect of Pd loading for the glucose electrooxidation. CV results reveal that 3% Pd/CNT catalyst exhibits best glucose electrooxidation activity. Following this, experimental optimization is performed to obtain maximum glucose electrooxidation activity via response surface methodology (RSM). Estimated and experimental specific activities at optimum experimental conditions are assigned as 6.186 and 5.832 mA/cm2, respectively. To understand the glucose electrooxidation activity on the surface of Pd/CNT, surface modeling is also performed with density functional theory (DFT) method to investigate adsorption of glucose molecule on CNT supported Pd surface. The DFT results emphasize that the addition of Pd atom to the CNT structure significantly improves the catalytic performance in glucose electrooxidation.

Data are relatively scarce on gastro-intestinal tuberculosis (GITB). Most studies are old and from single centers, or did not include immunosuppressed patients. Thus, we aimed to determine the clinical, radiological, and laboratory profiles of GITB. We included adults with proven GITB treated between 2000 and 2018. Patients were enrolled from 21 referral centers in 8 countries (Belgium, Egypt, France, Italy, Kazakhstan, Saudi Arabia, UK, and Turkey). One hundred four patients were included. Terminal ileum (n = 46, 44.2%), small intestines except terminal ileum (n = 36, 34.6%), colon (n = 29, 27.8%), stomach (n = 6, 5.7%), and perianal (one patient) were the sites of GITB. One-third of all patients were immunosuppressed. Sixteen patients had diabetes, 8 had chronic renal failure, 5 were HIV positive, 4 had liver cirrhosis, and 3 had malignancies. Intestinal biopsy samples were cultured in 75 cases (78.1%) and TB was isolated in 65 patients (86.6%). PCR were performed to 37 (35.6%) biopsy samples and of these, 35 (94.6%) were positive. Ascites samples were cultured in 19 patients and M. tuberculosis was isolated in 11 (57.9%). Upper gastrointestinal endoscopy was performed to 40 patients (38.5%) and colonoscopy in 74 (71.1%). Surgical interventions were frequently the source of diagnostic samples (25 laparoscopy/20 laparotomy, n = 45, 43.3%). Patients were treated with standard and second-line anti-TB medications. Ultimately, 4 (3.8%) patients died and 2 (1.9%) cases relapsed. There was a high incidence of underlying immunosuppression in GITB patients. A high degree of clinical suspicion is necessary to initiate appropriate and timely diagnostic procedures; many patients are first diagnosed at surgery., SCOPUS: ar.j, info:eu-repo/semantics/published

The article deals with the metaphorical conceptualization peculiarities of family relationship through the example of religious model. Research is led on the basis of electronically stored text corpora in Russian and Turkish languages. Metaphorical contexts are analysed according to the cognitive theory of metaphor using semantical criteria., В настоящей статье исследуются особенности метафорической концептуализации семейных отношений на примере религиозной модели. Анализ проводится на материале русских и турецких корпусных данных. Метафорические контексты анализируются согласно положениям когнитивной теории метафоры с учетом семантических критериев.

The article is devoted to analysis of reduplication phenomenon in its specificity in Russian and Chinese. The authors define the main problems concerned with its studying including the availability of narrow and broad understanding of the phenomenon. Principal structural types of reduplication are examined as far as its functions., Статья посвящена исследованию специфики феномена редупликации в русском и китайском языках. Авторы определяют основные проблемы, связанные с его изучением, включая наличие как узкого, так и широкого его понимания. Рассмотрены основные структурные типы редупликации и ее функции.

The article examines the concepts of teaching task and exercise in the context of communication-oriented teaching of Russian as a foreign language. According to the conception of communicative foreign-language education, suggested by E.I Passov, in teaching business Russian for foreigners are defined the main requirements to the communication-oriented tasks., В статье рассматриваются понятия учебного задания и упражнения в контексте коммуникативно-ориентированного обучения русскому языку как иностранному. В соответствии с концепцией коммуникативного иноязычного образования Е. И. Пассова, формулируются основные требования к коммуникативно-ориентированным заданиям по деловому русскому языку.

The article focuses on the metaphorical conceptualization peculiarities of adulterous relationship on the basis of electronic Russian and Turkish text corpuses including texts of different genres and styles written during the period of 1990–2000. Мetaphorical contexts are selected and analyzed according to the cognitive theory of metaphor. Analysis made into the connotations of metaphorical word usage shows a view of correlation between norm and anti-norm in Russian and Turkish linguistic world-image in reference to the phenomenon in question and confirms a particular importance of the category of honor for Turkish culture. The article examines marriage partners’ deviant behaviour through individual metaphors created by the authors as well as traditional metaphorical symbols 377 with ambiguous connotations (zoomorphic, spatial, criminal, fabled and others). Data provided by the Russian text corpus allowed calculating the gender correlations in metaphorical representations of adulterer. A special attention is given to the concept of civil marriage as one of the manifestations of extra-marital relations before official marriage or without it. This notion is missing in the Turkish text corpus. General tendency of its utilization in Russian corpus shows that it is considered to be the synonym of normal marriage or its preparatory stage., В статье рассмотрены особенности метафорической концептуализации внебрачной связи на материале русского и турецкого электронных текстовых корпусов, имеющих в своем составе тексты различных стилей и жанров, написанные в период с 1900 по 2000 годы. Метафорические контексты отобраны и проанализированы согласно когнитивной теории метафоры. Проведенный анализ коннотаций метафорических словоупотреблений дает представление о соотношении нормы и антинормы в русской и турецкой языковых картинах мира по отношению к рассматриваемому феномену и подтверждает особую значимость для турецкой культуры категории чести. Рассмотрены как индивидуально-авторские метафоры деви- антного поведения супругов, так и традиционные образы-символы (зооморфные, пространственные, криминальные, сказочные и др.), обладающие неоднозначными коннотациями. Данные русского текстового корпуса позволили просчитать гендерное соотношение в метафорическом представлении неверного супруга. Отдельное внимание уделяется понятию гражданского брака как одному из проявлений внебрачной связи до официального заключения брака или без него. Отмечается отсутствие этого понятия в турецком корпусе, а также общая тенденция его употребления в русском корпусе, которая позволяет считать его синонимом обычного брака или подготовительным этапом к нему.

This thesis investigates the application of wavelet decompositions to classification applications. Two feature extraction tools are considered: Local Discriminant Bases scheme (LDB) and Power method. Several dimension reduction schemes including a newly proposed one called the Mean Separator neural network (MS NN) are discussed. Two types of classifiers are investigated and compared: Classification Trees (CT) and Back-propagation neural network (BP NN). Classification experiments conducted on synthetic and real-world underwater signals show that: (1) the Power feature extraction method is more robust to time synchronization issues than the LDB scheme is; (2) the MS NN scheme is a successful dimension reduction scheme that may be used with both LDB and Power feature extraction methods; and (3) the BP NN is a more powerful classifier than CT as it has fewer constraints than CT in partitioning the feature input space, http://archive.org/details/classificationof109458089, Lieutenant Junior Grade, Turkish Navy, Approved for public release; distribution is unlimited.

We studied the species composition and soil nutrients in a Pinus brutia forest after a fire that occurred in 1989. Four permanent plots were created in the burnt and not burnt areas in the Amanos Mountains of Turkey. The floristic richness, biological spectra, above ground phytomass and soil features in the study areas were assessed during the first three years after the fire. After the fire, we found a reduced amount of organic matter (14.3%), total nitrogen (22%) and soil water saturation (13.1%), but an increased amount of available phosphorus (71%), acidity (3.6%), cation exchange capacity (9.9%), exchangeable sodium (20.8%) and exchangeable potassium (37.1%). The aboveground phytomass in the burned area reached 5284 kg ha–1, the third year after the fire. Forty-six pre-fire species were renewed in the first three years after the fire. Juniperus oxycedrus could not renew within three years after the fire. Pine phytomass has increased five times within three years after the fire

We studied the species composition and soil nutrients in a Pinus brutia forest after a fire that occurred in 1989. Four permanent plots were created in the burnt and not burnt areas in the Amanos Mountains of Turkey. The floristic richness, biological spectra, above ground phytomass and soil features in the study areas were assessed during the first three years after the fire. After the fire, we found a reduced amount of organic matter (14.3%), total nitrogen (22%) and soil water saturation (13.1%), but an increased amount of available phosphorus (71%), acidity (3.6%), cation exchange capacity (9.9%), exchangeable sodium (20.8%) and exchangeable potassium (37.1%). The aboveground phytomass in the burned area reached 5284 kg ha–1, the third year after the fire. Forty-six pre-fire species were renewed in the first three years after the fire. Juniperus oxycedrus could not renew within three years after the fire. Pine phytomass has increased five times within three years after the fire

This thesis investigates the application of wavelet decompositions to classification applications. Two feature extraction tools are considered: Local Discriminant Bases scheme (LDB) and Power method. Several dimension reduction schemes including a newly proposed one called the Mean Separator neural network (MS NN) are discussed. Two types of classifiers are investigated and compared: Classification Trees (CT) and Back-propagation neural network (BP NN). Classification experiments conducted on synthetic and real-world underwater signals show that: (1) the Power feature extraction method is more robust to time synchronization issues than the LDB scheme is; (2) the MS NN scheme is a successful dimension reduction scheme that may be used with both LDB and Power feature extraction methods; and (3) the BP NN is a more powerful classifier than CT as it has fewer constraints than CT in partitioning the feature input space.

This thesis investigates the application of wavelet decompositions to classification applications. Two feature extraction tools are considered: Local Discriminant Bases scheme (LDB) and Power method. Several dimension reduction schemes including a newly proposed one called the Mean Separator neural network (MS NN) are discussed. Two types of classifiers are investigated and compared: Classification Trees (CT) and Back-propagation neural network (BP NN). Classification experiments conducted on synthetic and real-world underwater signals show that: (1) the Power feature extraction method is more robust to time synchronization issues than the LDB scheme is; (2) the MS NN scheme is a successful dimension reduction scheme that may be used with both LDB and Power feature extraction methods; and (3) the BP NN is a more powerful classifier than CT as it has fewer constraints than CT in partitioning the feature input space