Care needs and satisfaction with nursing care quality of cancer patients

Objective: This study aims to determine the relationships between care needs and satisfaction with nursing care quality of chemotherapy-treated cancer patients. Patients and Methods: This cross-sectional study was conducted between November and December 2021 in an Outpatient Chemotherapy Unit in Istanbul. The interview form consists of sociodemographic and treatment-related questions, cancer needs of patients, the satisfaction with the quality of nursing care. Results: Most of the participants were 55 years of age and older (61%), women (57.8%), had comorbid diseases (52.4%), and 48% were diagnosed with stage II cancer (48%). The care needs to be reported frequently by patients were mostly psychological and interpersonal communication. It was determined that the most important variables that increased the health care needs were perception by patients of their health status, age, stage of cancer, and the level of satisfaction they perceive together with the quality of nursing care. Conclusions: This study determined that patient care should be planned based on the factors affecting patient care needs and that care needs could decrease with increasing satisfaction with nursing care

Badanie powierzchni tkanin typu denim za pomocą analizy obrazu w czasie rzeczywistym

In spite of using modern weaving technology, many types of fabric defects occur during production. Most defects arising in the production process of a fabric are still detected by human inspection. A machine vision system that can be adapted to different types of fabric inspection machines is proposed in this study. Image frames of denim fabric were acquired using a CCD line-scan camera. An algorithm was developed by using the Gabor filter and double thresholding methods. The performance of the algorithm was tested real-time by analysing a denim fabric sample which contained six types of defects: hole, warp lacking, weft lacking, soiled yarn, water soil and yarn flow (knot). The defective regions of the denim fabric sample were detected and labelled successfully.Mimo stosowania współczesnych technologii tkackich, wiele typów defektów tkaniny powstaje podczas ich produkcji. Większość defektów podczas procesu produkcji tkaniny w dalszym ciągu jest wykrywana poprzez kontrolę pracowników. W pracy zaproponowano automatyczny system inspekcji wizualnej, który można adoptować do różnych typów maszyn, realizujących inspekcje tkaniny. Wykonano ramki ilustrujące tkaninę typu Denim przy zastosowaniu liniowej kamery skanującej typu CCD. Opracowano algorytm stosując filtr Gabor A i metodę podwójnego progu dyskryminującego. Skuteczność algorytmu testowano analizując próbki tkaniny Denim zawierające 6 typów defektów - dziura, brak osnowy, brak wątku, zabrudzona przędza, zmoczona przędza i pęczki. Sukcesywnie określano zaznaczone uszkodzenia