The use of Linear Statistical Model to Predict Tumour Size of Colorectal Cancer

Colorectal cancer (CRC) is a type of cancer in the large intestine (colon), the lower part of our digestive system. Most cases of colon cancer begin as small non-cancerous clumps of cells called adenomatous polyps. The aim of this quantitative study is to identify the determinants of patient who have colorectal cancer symptoms in general hospital. The sample study included 180 patients who have colorectal cancer aged above 21 years old and received treatment at general hospital in Kuala Lumpur, Malaysia. Secondary data were obtained through doctors and nurses using cluster sampling. Based on the results of multiple linear regressions (MLR), 11 predictor variables were significant to predict tumour size of colorectal cancer. The statistical measurement error used were mean square error (MSE), root mean square error values (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE)

Дифференциальный диагноз в гнойной хирургии. Язва Маржолена – рак в рубце

The paper considers examples of malignant tumor growth in the foci of chronic inflammation in patients with chronic osteomyelitis. It analyzes case histories and clinical features in malignization. Pathological examination of biopsy specimens from osteomyelitic ulcers and fistulas is shown to be of importance. В статье рассмотрены примеры возникновения злокачественного опухолевого роста в очаге хронического воспаления у больных хроническим остеомиелитом. Проанализированы истории заболеваний, особенности клинической картины при малигнизации. Показана значимость патоморфологического исследования биоптатов из остеомиелитических язв и свищей.

A Fuzzy Rule-Based Approach to Determine an Asymmetrical Polygonal Ship Domain

2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 -- 31 October 2019 through 2 November 2019 -- -- 156545Navigators expect to feel comfortable while passing a ship and an obstacle at sea. This feeling has led to reveal the concept of ship domain. The ship domain is one of the criteria for navigational risk assessment and one of the parameters used in collision avoidance planning and traffic engineering at sea. Generally, navigators determine the domain size by experience, and they form it as a circle in practice. This is because it is called a fully subjective and imprecise value. Although elliptical and circle ship domains are mostly proposed, there have been some complex ship domains such as hexagonal, polygonal, etc. The methods and models to form a ship domain in the related literature are mainly based on analytical, statistical and artificial intelligence methods. In this study, a novel fuzzy rule-based approach has been proposed to determine an asymmetrical polygonal ship domain. The proposed domain is assumed to be around the own ship and its size and shape depend on the directions according to various parameters such as ship length, ship speed, maneuverability, traffic state, navigator experience, day time (daylight or night), sea state, visibility and relative bearing of the target ship (TS). A C# application based on fuzzy inference system (FIS) with Mamdani model has been implemented to form the size and shape of the domain. The logical implication rules used by navigators define the fuzzy domain. In conclusion, it is thought that the proposed model will undoubtedly contribute to the path planning, collision avoidance optimization, ship traffic engineering, and ship motion control. © 2019 IEEE

A Fuzzy Ship Domain-Based Method for Collision Avoidance at Sea

4th International Conference on Computer Science and Engineering, UBMK 2019 -- 11 September 2019 through 15 September 2019 -- -- 154916The paper presents an asymmetrical polygonal fuzzy ship domain-based ship collision avoidance method considering COLREGs. The user interface is formed for practical collision avoidance decision support function via using form application developed with the C# programming language on the Microsoft Visual Studio software platform. Experimental study shows that the presented method can provide a reasonable solution. The system is expected to provide an effective assistance to system operators and to make a contribution to the ship automation and e-navigation strategy. © 2019 IEEE

DETERMINISTIC-BASED SHIP ANTI-COLLISION ROUTE OPTIMIZATION WITH WEB-BASED APPLICATION

fiskin, remzi/0000-0002-5949-0193WOS: 000505080600003Most of the accidents are caused by human error at sea so, decision making process made by navigators should be more computerised and automated. the supported decision making can be a step forward to decrease the risk of collision. This paper, in this respect, aims to present a deterministic approach to support optimum collision avoidance trajectory. This approach involves a collision avoidance course alteration. A web-based application coded with "JavaScript" programming language on the "Processing" software platform which allows the own ship to change her course in a deterministic manner to avoid collision optimally has been introduced. Algorithm structure of the method has been formulated and organized according to the International Regulation for Preventing Collision at Sea (COLREGs). the experimental tests results have revealed that the system is practicable and feasible and considerably outperforms heuristic-based method. It is thought that the developed method can be applied in an intelligent avoidance system on board and provides contribution to ship collision avoidance process, automation of ship motion control and ship traffic engineering