METHODS: This mixed-methods study includes (a) a systematic review of randomized clinical trials (RCTs) following PRISMA guidelines and (b) a constant-comparative qualitative analysis of effective intervention protocols.
RESULTS: Eleven published randomized clinical trials were reviewed. A total of 831 individuals were studied. Geographic settings include the USA, Australia, China, Hong Kong, and Malaysia. Qigong therapy was found to have positive effects on the cancer-specific QOL, fatigue, immune function, and cortisol levels of individuals with cancer. Qigong therapy protocols varied supporting a plurality of styles. Qualitative analyses identified common programming constructs. Content constructs included exercise (gentle, integrated, repetitious, flowing, weight-bearing movements), breath regulation, mindfulness and meditation, energy cultivation including self-massage, and emphasis on relaxation. Logistic constructs included delivery by qualified instructors, home practice, and accommodation for impaired activity tolerance.
CONCLUSIONS: There is global interest and a growing body of research providing evidence of therapeutic effect of Qigong therapy in supportive cancer care. While Qigong therapy protocols vary in style, construct commonalities do exist. Knowledge of the common constructs among effective programs revealed in this research may be used to guide future research intervention protocol and community programming design and development.
AIMS: A variation of anisotropic diffusion is proposed that can reduce speckle noise without compromising the image quality of the edges and other important details.
METHODS: For this technique, four gradient thresholds were adopted instead of one. A new diffusivity function that preserves the edge of the resultant image is also proposed. To automatically terminate the iterative procedures, the Mean Absolute Error as its stopping criterion was implemented.
RESULTS: Numerical results obtained by simulations unanimously indicate that the proposed method outperforms conventional speckle reduction techniques. Nevertheless, this preliminary study has been conducted based on a small number of asymptomatic subjects.
CONCLUSION: Future work must investigate the feasibility of this method in a large cohort and its clinical validity through testing subjects with a symptomatic cartilage injury.
METHODS: An electronic search in PubMed and major endodontic journals was conducted using appropriate key words to identify investigations that examined the effectiveness of obturation material removal assessed by micro-computed tomography.
RESULTS: Among 345 studies, 22 satisfied the inclusion criteria. Seven studies compared hand instrumentation with Nickel-Titanium rotary or reciprocating systems. Three studies investigated rotary systems, and another three studies explored reciprocation. Eight studies compared rotary systems and reciprocation in removing filling materials from the root canal system. Other factors, such as the role of solvents and irrigant agitation, were discussed.
CONCLUSIONS: The application of different instrumentation protocols can effectively, but not completely, remove the filling materials from the root canal system. Only hand instrumentation was not associated with iatrogenic errors. Reciprocating and rotary systems exhibited similar abilities in removing root filling material. Retreatment files performed similarly to conventional ones. Solvents enhanced penetration of files but hindered cleaning of the root canal. The role of irrigant agitation was determined as controversial.
AIMS AND OBJECTIVES: In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life.
CONCLUSION: The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity.