RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
        • 주제분류
        • 발행연도
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • SCIESCOPUSKCI등재

        Automatic Diagnosis of Attention Deficit Hyperactivity Disorder with Continuous Wavelet Transform and Convolutional Neural Network

        Sinan Altun(Sinan Altun ),Ahmet Alkan(Ahmet Alkan ),Hatice Altun(Hatice Altun ) 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.4

        Objective: The attention deficit hyperactivity disorder has a negative impact on the child’s educational life and relationships with the social environment during childhood and adolescence. The connection between temperament traits and The attention deficit hyperactivity disorder has been proven by various studies. As far as we know, there is no machine learning study to diagnose. The attention deficit hyperactivity disorder in a dataset created using temperament characteristics. Methods: Machine learning-based semi-automatic/fully automatic expert decision support systems are frequently used for the diagnosis of various diseases. In this study, it was aimed to reveal the success of a semi-automatic expert decision support system in the diagnosis of attention deficit hyperactivity disorder by using temperament characteristics. The high classification success achieved is a resource for a potential diagnosis of attention deficit hyperactivity disorder expert decision support system. In this respect, this study includes original qualities and innovations. Results: Many different deep learning methods were used in the research. Deep learning methods are models that achieve high success by using a large number of images in various image processing competitions. The images of the signals in the data set were first obtained by Continuous Wavelet Transform. The highest classification success in our data set was obtained with the Squeeze Net model with 88.33%. Conclusion: The model we propose shows that an automatic system based on artificial intelligence can be created, as well as revealing the relationship between temperament characteristics in the diagnosis of attention deficit hyperactivity in the data set we created.

      • Chemopreventive Effects of Hydatid Disease on Experimental Breast Cancer

        Altun, Ahmet,Saraydin, Serpil Unver,Soylu, Sinan,Inan, Deniz Sahin,Yasti, Cinar,Ozdenkaya, Yasar,Koksal, Binnur,Duger, Cevdet,Isbir, Cemil,Turan, Mustafa Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.4

        Breast cancer is one of the most common and letal cancers in all over the world. Since there have been significant improvements in treatment of breast cancer, there is still a big need for alternative approaches. In this study, we aimed to investigate protective role of hydatid disease against breast cancer. Twenty Wistar rats were divided into two groups of 10 rats each Group I (control) and Group II. In Group II intraperitoneal hydatidosis was performed. Then DMBA was applied to mammary tissues of all rats. Immunohistochemistry studies for Ki-67 and S-100 in the tumoral tissue sections of DMBA induced mammary tumor in rats were performed. TUNEL Assay was used to detect apoptotic cells of tumoral tissue. In vivo anticancer activity testing was carried out by preventing the tumorigenesis by DMBA in mammary tissue of rats. The expressions of the Ki-67 and S-100 protein decreased in rats who had Hydatid Disease (HD) (Group II), compared with the control rats (Group I). TUNEL positive cells were higher in rats with HD (Group II), compared with the control rats (Group I). In vivo studies showed that HD prevented the tumorigenesis by DMBA in mammary tissue of rats with 50 percent.In the light of the evidence the present study showed that HD may have chemopreventive effects on DMBA induced breast cancer.

      • KCI등재

        Ineffective Doses of Dexmedetomidine Potentiates the Antinociception Induced by Morphine and Fentanyl in Acute Pain Model

        Mumin Unal,Sinan Gursoy,Ahmet Altun,Cevdet Duger,Iclal Ozdemir Kol,Kenan Kaygusuz,Ihsan Bagcivan,Caner Mimaroglu 대한약리학회 2013 The Korean Journal of Physiology & Pharmacology Vol.17 No.5

        The aim of this study was to evaluate the synergistic potentiation effect of ineffective doses of dexmedetomidine on antinociception induced by morphine and fentanyl in acute pain model in rats. Seventy albino Wistar rats were separated into 7 groups. Data for the control and sham groups were recorded. The ineffective dose of dexmedetomidine was investigated and found to be 3 μ g/kg. Each group was administered the following medications: 3 mg/kg morphine (intraperitoneal) to Group 3,5 μg/kg fentanyl (intraperitoneal) to Group 4, dexmedetomidine 3 μ g/kg (subcutaneously) to Group 5, dexmedetomidine 3 μg/kg (subcutaneous)+3 mg/kg morphine (intraperitoneal) to Group 6 and finally 3 μg/kg dexmedetomidine (subcutaneous)+5μg/kg fentanyl (intraperitoneal) to Group 7. Just before the application and 15, 30, 60, 90 and 120 min after the administration of medication, two measurements of tail flick (TF) and hot plate (HP) tests were performed. The averages of the measurements were recorded. TF and HP latencies were the main outcomes. The analgesic effect of the combinations with dexmedetomidine+morphine (Group 6) and dexmedetomidine+fentanyl (Group 7), compared to the analgesic effect of morphine alone and fentanyl alone was significantly higher at 15, 30, 60 and 90minutes after administration. In this study, dexmedetomidine in ineffective doses, when combined with morphine and fentanyl, potentiates the effects of both morphine and fentanyl.

      • SCIESCOPUSKCI등재

        Ineffective Doses of Dexmedetomidine Potentiates the Antinociception Induced by Morphine and Fentanyl in Acute Pain Model

        Unal, Mumin,Gursoy, Sinan,Altun, Ahmet,Duger, Cevdet,Kol, Iclal Ozdemir,Kaygusuz, Kenan,Bagcivan, Ihsan,Mimaroglu, Caner The Korean Society of Pharmacology 2013 The Korean Journal of Physiology & Pharmacology Vol.17 No.5

        The aim of this study was to evaluate the synergistic potentiation effect of ineffective doses of dexmedetomidine on antinociception induced by morphine and fentanyl in acute pain model in rats. Seventy albino Wistar rats were separated into 7 groups. Data for the control and sham groups were recorded. The ineffective dose of dexmedetomidine was investigated and found to be 3 ${\mu}g/kg$. Each group was administered the following medications: 3 mg/kg morphine (intraperitoneal) to Group 3, 5 ${\mu}g/kg$ fentanyl (intraperitoneal) to Group 4, dexmedetomidine 3 ${\mu}g/kg$ (subcutaneously) to Group 5, dexmedetomidine 3 ${\mu}g/kg$ (subcutaneous)+3 mg/kg morphine (intraperitoneal) to Group 6 and finally 3 ${\mu}g/kg$ dexmedetomidine (subcutaneous)+5 ${\mu}g/kg$ fentanyl (intraperitoneal) to Group 7. Just before the application and 15, 30, 60, 90 and 120 min after the administration of medication, two measurements of tail flick (TF) and hot plate (HP) tests were performed. The averages of the measurements were recorded. TF and HP latencies were the main outcomes. The analgesic effect of the combinations with dexmedetomidine+morphine (Group 6) and dexmedetomidine+fentanyl (Group 7), compared to the analgesic effect of morphine alone and fentanyl alone was significantly higher at 15, 30, 60 and 90 minutes after administration. In this study, dexmedetomidine in ineffective doses, when combined with morphine and fentanyl, potentiates the effects of both morphine and fentanyl.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼