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Optical imaging, which possesses noninvasive and high-resolution features for biomedical imaging, has been used to study various biological samples, from in vitro cells, ex vivo tissue, to in vivo imaging of living organism. Furthermore, optical imaging also covers a very wide scope of spatial scale, from submicron sized organelles to macro-scale live biological samples, enabling it a powerful tool for biomedical studies. Before introducing these superior optical imaging methods to researchers, first of all, it is necessary to present the basic concept of light-matter interactions such as absorption, scattering, and fluorescence, which can be used as the imaging contrast and also affect the imaging quality. And then the working mechanism of various imaging modalities including fluorescence microscopy, confocal microscopy, multiphoton microscopy, super-resolution microscopy, optical coherence tomography (OCT), diffuse optical tomography (DOT), etc. will be presented. Meanwhile, the main features and typical bioimaging applications of these optical imaging technologies are discussed. Finally, the perspective of future optical imaging methods is presented. The aim of this chapter is to introduce the background and principle of optical imaging for grasping the mechanism of advanced optical imaging modalities introduced in the following chapters.Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation performance for high-stakes examinations such as credentialing has not been studied appropriately. There are data on how simulation exercises can differentiate between novice and expert surgeons, but there are limited data to support their use for distinguishing intermediate from competent surgeons. Senior cardiothoracic trainees with limited robotic but significant laparoscopic experience ("intermediate surgeons", IS) and practicing robotic thoracic surgeons ("competent surgeons", CS) participating in a thoracic cadaver robotic course were evaluated on three Da Vinci (Xi) simulations. Scores were separately recorded into components and analyzed by t-test for significant differences between groups. 21 competent and 17 intermediate surgeons participated. Overall scores did not have a statistically significant difference in any exercise between groups. Simulation exercises do not appear to distinguish intermediate from competent surgeon performance of robotic skills. Without better validity data, the use of simulation for credentialing should be thoughtfully considered.Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients undergoing robot-assisted radical prostatectomy (RARP). Nevertheless, there are still barriers. We aimed to identify the key areas by systematically surveying urology departments in Germany and Austria. A 27-question survey on the adoption of ERAS principles for the perioperative care of RARP patients was designed, in compliance with the guidelines on good practice in conducting and reporting of survey research. After positive testing for face and content validity, the survey was distributed via postal mail to 82 departments performing RARP. In total, 39 departments responded to our survey (response rate 48%). The ERAS adoption rates ranged from 21 to 97%, with nine ERAS principles being widely adopted (72-92% of the departments). The lowest adoption rates and, subsequently, the largest potential for optimization were detected for the preoperative nutrition counselling (21%), preoperative pelvic floor physiotherapy (54%), postoperative early initiation of nutrition (44%) and postoperative patient audit for further quality improvement (36%). High-volume centers performed more frequently a perioperative nutrition counselling (8/27; 30%) than low-volume centers (0/12; 0%; p = 0.036). The implementation of the ERAS principles into the perioperative care algorithm were medium-to-high, yet not optimal. Our real-world data assessment revealed four key areas showing low adoption rates (nutrition counselling, preoperative pelvic floor physiotherapy, early initiation of nutrition and patient audit), implying a great potential for further optimization.

The construct of food addiction has been gaining increased attention as a research topic. Currently, the Yale Food Addiction Scale 2.0 is the only measure to operationalize the addictive-like eating behavior according to addiction criteria proposed by the Diagnostic and Statistical Manualof Mental Disorders. The present study aimed at examining the psychometric properties of the Portuguese version of the Yale Food Addiction Scale 2.0, as well as investigating the convergent and divergent validity between this scale and the following measures Eating Disorders Examination Questionnaire, Body Investment Scale, and Difficulties in Emotion Regulation Scale. We also sought to explore the moderator role of difficulties in emotion regulation in the relationship between food addiction and binge eating METHODS A sample of 302 female college students (M

 = 21.37, SD = 3.24) completed self-report measures.

Sixteen (5.3%) participants were diagnosed as having food addiction. Sodium cholate molecular weight The confirmatory factor analysis suggested that the original one-dimensional structure is adequate to represent the Portuguese Yale Food Addiction Scale 2.0. The symptom count scores of the scale were correlated with body mass index, eating disordered behavior, body investment, and difficulties in emotion regulation. The severity level of the scale also discriminated the severity of eating disordered behaviors, body investment, and difficulties in emotion regulation. Finally, the relationship between food addiction and binge eating was moderated by difficulties engaging in goal-directed behavior when experiencing negative emotions.

The Portuguese version of the Yale Food Addiction Questionnaire 2.0 may be a useful tool to investigate food addiction.

IV descriptive studies.

IV descriptive studies.

The treatment of cerebral aneurysms shifted from microsurgical to endovascular therapy. But for some difficult aneurysm configurations, e.g. wide neck aneurysms, microsurgical clipping is better suited. From this combination of limited interventions and the complexity of these cases, the need for improved training possibilities for young neurosurgeons arises.

We designed and implemented a clipping simulation that requires only a monoscopic display, mouse and keyboard. After a virtual craniotomy, the user can apply a clip at the aneurysm which is deformed based on a mass-spring model. Additionally, concepts for visualising distances as well as force were implemented. The distance visualisations aim to enhance spatial relations, improving the navigation of the clip. The force visualisations display the force acting on the vessel surface by the applied clip. The developed concepts include colour maps and visualisations based on rays, single objects and glyphs.

The concepts were quantitatively evaluated via an online survey and qualitatively evaluated by a neurosurgeon.

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