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  • Open Access

    ARTICLE

    Breast Cancer: Delays of Access to Diagnosis and Treatment Retrospective Study–Batna, Algeria August 2015–February 2016
    Cancer du Sein: Délais d’Accès au Diagnostic et aux Traitements Etude Rétrospective–Batna, Algérie Août 2015–Février 2016

    Fadhila Mansour1,2,*, Abdelhak Lakehal2,3, Lahcène Nezzal2,3

    Oncologie, Vol.22, No.3, pp. 117-128, 2020, DOI:10.32604/oncologie.2020.014979

    Abstract The objective of this study was to quantify the delays in access to diagnosis and treatment of women with breast cancer who are managed at the anticancer center of Batna, Algeria. This was a descriptive retrospective study conducted during the period August 2015 to February 2016. In order to trace the history of the journey from the first signs of cancer to the first treatments, a questionnaire was filled in from the medical files and completed by an interview with the patients. A total of 267 patients were included in the study. The median time to management was 4.5 months.… More >

  • Open Access

    ARTICLE

    Method to Appraise Dangerous Class of Building Masonry Component Based on DC-YOLO Model

    Hongrui Zhang1, Wenxue Wei1, *, Xinguang Xiao1, Song Yang1, Wanlu Shao1

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 457-468, 2020, DOI:10.32604/cmc.2020.06988

    Abstract This DC-YOLO Model was designed in order to improve the efficiency for appraising dangerous class of buildings and avoid manual intervention, thereby making the appraisal results more objective. It is an automated method designed based on deep learning and target detection algorithms to appraise the dangerous class of building masonry component. Specifically, it (1) adopted K-means clustering to obtain the quantity and size of the prior boxes; (2) expanded the grid size to improve identification to small targets; (3) introduced in deformable convolution to adapt to the irregular shape of the masonry component cracks. The experimental results show that, comparing… More >

  • Open Access

    ARTICLE

    Brief Note : Chromosome comparison between populations of the collared peccary, Tayassu tajacu, raised in captivity

    PATRÍCIA CARVALHO DE SOUZA, ANDRÉ SALIM KHAYAT, IGOR CHAMON SELIGMANN, ROMMEL MARIO RODRÍGUEZ BURBANO

    BIOCELL, Vol.32, No.2, pp. 207-210, 2008, DOI:10.32604/biocell.2008.32.207

    Abstract The collared peccary (Tayassu tajacu) is widely distributed over the American continent, being found from the south of the USA to the north of Argentina. In Brazil, it is spread all over the country, being one of the potential species to be raised in captivity. Therefore, the cytogenetic techniques could be a potential tool for reproductive monitoring of animals raised in captivity, mainly when destined for commercial purposes. This study had the objective of determining the chromosome number of two populations raised in captivity and characterizing them by GTG banding. For this purpose, an analysis was made of mitotic metaphases… More >

  • Open Access

    ARTICLE

    Application of the Participatory Rural Appraisal (PRA) to assess the ethnobotany and forest conservation status of the Zarghoon Juniper Ecosystem, Balochistan, Pakistan

    Bazai ZA1, RB Tareen1, AKK Achakzai1, H Batool2

    Phyton-International Journal of Experimental Botany, Vol.82, pp. 69-74, 2013, DOI:10.32604/phyton.2013.82.069

    Abstract The data collection approach called Participatory Rural Appraisal (PRA) was used in five villages: Killi Tor Shore; Medadzai; Ghunda; Kala Ragha, and Killi Shaban. Up to five groups were sampled in each village, comprising a total of 17 villages within the Zarghoon Juniper ecosystem. This area is rich both historically and culturally for using medicinal plants, mostly by women (60%). In this study, 26 species of medicinal plants fit in 20 genera and 13 families. They are used by aboriginal people via the indigenous knowledge they have for the treatment of many diseases. About 60, 35, and 5% of the… More >

  • Open Access

    ARTICLE

    Leaf and stem anatomy and micromorphology in two cut flower cultivars of Rosa hybrida L.

    Cohen1 G, L Mascarini1, CC Xifreda2

    Phyton-International Journal of Experimental Botany, Vol.81, pp. 199-204, 2012, DOI:10.32604/phyton.2012.81.199

    Abstract Micromorphological and anatomical differences in leaf epidermis and stem xylem of Rosa hybrida ‘Lovely Red ‘ (LR) and ‘Rouge Baiser’ (RB), commercially grown in Buenos Aires, Argentina, were examined in the lower half of the terminal leaflet of 5-foliate leaves and in the basal part of stem, respectively. Digital images obtained from SEM and a phase contrast microscope were used with this purpose. Epicuticular wax, which was present on both sides of the leaves, was more abundant in LR than in RB. Stomata were only present on the abaxial side; they were 111 and 129 per mm² in LR and… More >

  • Open Access

    ARTICLE

    Fatigue Resistance and Cracking Mechanisms in an Aircraft AISI 4340 Steel with Surface Affected by Electro-Erosive and Water Jet Cutting

    I. Černý1,2, D. Mikulová1

    Structural Durability & Health Monitoring, Vol.6, No.1, pp. 43-52, 2010, DOI:10.3970/sdhm.2010.006.043

    Abstract Alternative methods of material machining like electro-erosive or water jet cutting, respectively, represent modern technologies, which are perspective to be used as final end-to-shape operations due to their possibilities of automatization and cutting precision. The paper contains results of an investigation of resistance of an aircraft AISI 4340 steel against fatigue loading performed using specimens loaded by three point bending at ambient temperature and standard laboratory conditions. Results of fatigue tests of specimens with surface after electro-erosive and water jet cutting, respectively, are presented, whereas in the latter case, areas of water jet incidence and outfall are studied separately. The… More >

  • Open Access

    ARTICLE

    A Fuzzy Approach for an IoT-based Automated Employee Performance Appraisal

    Jaideep Kaur1, Kamaljit Kaur2

    CMC-Computers, Materials & Continua, Vol.53, No.1, pp. 23-36, 2017, DOI:10.3970/cmc.2017.053.024

    Abstract The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and other wireless devices is capable of sensing the activities being carried around Industrial environment so as to automate industrial processes. In almost every industry, employee performance appraisal is done manually which may lead to favoritisms. This paper proposes a framework to perform automatic employee performance appraisal based on data sensed from IoT. The framework classifies raw IoT data into three activities (Positive, Negative, Neutral), co-locates employee and activity in order to calculate employee implication and then performs cognitive decision making using fuzzy logic. From the experiments carried out it… More >

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