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With a changing media landscape in mind, this article takes a closer look at academic training standards for journalists. Focusing on multimedia production and innovative science, it analyses the impact on business models, resources and working conditions. As an interventionist appeal, it argues in favour of practice-based research and new training methods. Key demands include a greater awareness of the democratic role of journalism, ethical sensitivity and sustainable funding. By interweaving theory, practice and politics, this Manifesto-like paper aims to strengthen the profession of journalism and build a bridge between academia and practical training.

Abstract In addition to the traditional staging system in colorectal cancer (CRC), the Immunoscore® has been proposed to characterize the level of immune infiltration in tumor tissue and as a potential prognostic marker. The aim of this study was to examine and validate associations of an immune cell score analogous to the Immunoscore® with established molecular tumor markers and with CRC patient survival in a routine setting. Patients from a population‐based cohort study with available CRC tumor tissue blocks were included in this analysis. CD3+ and CD8+ tumor infiltrating lymphocytes in the tumor center and invasive margin were determined in stained tumor tissue slides. Based on the T‐cell density in each region, an immune cell score closely analogous to the concept of the Immunoscore® was calculated and tumors categorized into IS‐low, IS‐intermediate, or IS‐high. Logistic regression models were used to assess associations between clinicopathological characteristics with the immune cell score, and Cox proportional hazards models to analyze associations with cancer‐specific, relapse‐free, and overall survival. From 1,535 patients with CRC, 411 (27%) had IS‐high tumors. Microsatellite instability (MSI‐high) was strongly associated with higher immune cell score levels (p

A disturbed synchronization of the ventricular contraction can cause a highly developed systolic heart failure in affected patients with reduction of the left ventricular ejection fraction, which can often be explained by a diseased left bundle branch block (LBBB). If medication remains unresponsive, the concerned patients will be treated with a cardiac resynchronization therapy (CRT) system. The aim of this study was to integrate His-bundle pacing into the Offenburg heart rhythm model in order to visualize the electrical pacing field generated by His-Bundle-Pacing. Modelling and electrical field simulation activities were performed with the software CST (Computer Simulation Technology) from Dessault Systèms. CRT with biventricular pacing is to be achieved by an apical right ventricular electrode and an additional left ventricular electrode, which is floated into the coronary vein sinus. The non-responder rate of the CRT therapy is about one third of the CRT patients. His- Bundle-Pacing represents a physiological alternative to conventional cardiac pacing and cardiac resynchronization. An electrode implanted in the His-bundle emits a stronger electrical pacing field than the electrical pacing field of conventional cardiac pacemakers. The pacing of the Hisbundle was performed by the Medtronic Select Secure 3830 electrode with pacing voltage amplitudes of 3 V, 2 V and 1,5 V in combination with a pacing pulse duration of 1 ms. Compared to conventional pacemaker pacing, His-bundle pacing is capable of bridging LBBB conduction disorders in the left ventricle. The His-bundle pacing electrical field is able to spread via the physiological pathway in the right and left ventricles for CRT with a narrow QRS-complex in the surface ECG.

In the last four years, advances in Deep Learning technology have enabled the inference of selected mutational alterations directly from routine histopathology slides. In particular, recent studies have shown that genetic changes in clinically relevant driver genes are reflected in the histological phenotype of solid tumors and can be inferred by analysing routine Haematoxylin and Eosin (H&E) stained tissue sections with Deep Learning. However, these studies mostly focused on selected individual genes in selected tumor types. In addition, genetic changes in solid tumors primarily act by changing signaling pathways that regulate cell behaviour. In this study, we hypothesized that Deep Learning networks can be trained to directly predict alterations of genes and pathways across a spectrum of solid tumors. We manually outlined tumor tissue in H&E-stained tissue sections from 7,829 patients with 23 different tumor types from The Cancer Genome Atlas. We then trained convolutional neural networks in an end-to-end way to detect alterations in the most clinically relevant pathways or genes, directly from histology images. Using this automatic approach, we found that alterations in 12 out of 14 clinically relevant pathways and numerous single gene alterations appear to be detectable in tissue sections, many of which have not been reported before. Interestingly, we show that the prediction performance for single gene alterations is better than that for pathway alterations. Collectively, these data demonstrate the predictability of genetic alterations directly from routine cancer histology images and show that individual genes leave a stronger morphological signature than genetic pathways.

With a changing media landscape in mind, this article takes a closer look at academic training standards for journalists. Focusing on multimedia production and innovative science, it analyses the impact on business models, resources and working conditions. As an interventionist appeal, it argues in favour of practice-based research and new training methods. Key demands include a greater awareness of the democratic role of journalism, ethical sensitivity and sustainable funding. By interweaving theory, practice and politics, this Manifesto-like paper aims to strengthen the profession of journalism and build a bridge between academia and practical training. [ABSTRACT FROM AUTHOR]

This paper demonstrates the interest which a victim of a transnational crime may have in moving proceedings across the border. It also considers the means with which this can be done. By virtue of the passive personality principle, a Swiss victim can move proceedings back to Switzerland for a civil claim which would not otherwise have a forum in Switzerland. Further, it is suggested that there is a conflict between the passive personality principle and the prohibition of double jeopardy. This paper argues for a restrictive interpretation of the passive personality principle and a broadening of the principle of ne bis in idem.

Purpose. One benefit of intraoperative radiation therapy (IORT) is that it usually requires a single treatment, thus potentially eliminating distance as a barrier to receipt of whole breast irradiation. The aim of this study was to evaluate the distance traveled by IORT patients at our institution. Methods. Our institutional prospective registry was used to identify IORT patients from 10/2011 to 2/2017. Patient’s home zip code was compared to institution zip code to determine travel distance. Characteristics of local (100 miles) patients were compared. Results. 150 were patients included with a median travel distance of 27 miles and mean travel distance of 121 miles. Most were local (68.7%), with the second largest group living faraway (20.0%). Subset analysis of local patients demonstrated 20.4% traveled 1000 miles. The local, regional, and faraway patients did not differ with respect to age, race, tumor characteristics, or whole breast irradiation. Conclusions. Breast cancer patients are traveling for IORT, with 63% traveling >20 miles for care. IORT is an excellent strategy to promote breast conservation in selected patients, particularly those who live remote from a radiation facility.