Standard cystectomy fits all: truth or myth?

Radical cystectomy (RC) with pelvic lymph node dissection (PLND) followed by urinary diversion is the treatment of choice for muscle-invasive bladder cancer (BC) and non-invasive BC refractory to transurethral resection of the bladder (TUR-B) and/or intravesical instillation therapies. Since the morbidity and possible mortality of this surgery are relevant, care must be taken in the preoperative selection of patients for the various organ-sparing procedures (e.g., bladder-sparing, nerve sparing, seminal vesicle sparing) and various types of urinary diversion. The patient’s performance status and comorbidities, along with individual tumor characteristics, determine possible surgical steps during RC. This individualized approach to RC in each patient can maximize oncological safety and minimize avoidable side effects, rendering ‘standard’ cystectomy a surgery of the past.

From Truth to Justice: How Does Amnesty Factor In? A Comparative Analysis of South Africa and Sierra Leone's Truth and Reconciliation Commissions

Truth and Reconciliation Commissions (TRC) have emerged in the last few decades as a mechanism for a state to overcome widespread, grave, human rights violations. There are numerous approaches to a TRC all with an ultimate goal: that formerly warring factions, perpetrators, witnesses, and victims can move forward as a united people. I propose that the provision of amnesty is critical to the success of a TRC. I hypothesize that the form of amnesty chosen (i.e. blanket v. conditional amnesty) determines the revelation of truth and realization of justice, which in turn dictates whether a TRC can achieve reconciliation. To test this hypothesis, I use two case studies: South Africa, which has utilized conditional amnesty, and Sierra Leone which has employed blanket amnesty. I create a model for measuring reconciliation. I can then look at the implications of both types of amnesty and assess which, in the end, is more effective. My overarching conclusion is that the provision of conditional amnesty is more effective than blanket amnesty in achieving reconciliation. Ultimately, I hope that this conclusion can be generalized to other TRCs.

Seasonal cycles of monthly means of ground truth wind speed of METAR station GVAC and of area-averaged TMI wind speed at 37 GHz for the Cape Verde Island Sal

In the present paper ground truth and remotely sensed datasets were used for the investigation and quantification of the impact of Saharan dust on microwave propagation, the verification of theoretical results, and the validation of wind speeds determined by satellite microwave sensors. The influence of atmospheric dust was verified in two different study areas by investigations of single dust storms, wind statistics, wind speed scatter plots divided by the strength of Saharan dust storms, and wind speed differences in dependence of microwave frequencies and dust component of aerosol optical depth. An increase of the deviations of satellite wind speeds to ground truth wind speeds with higher microwave frequencies, with stronger dust storms, and with higher amount of coarse dust aerosols in coastal regions was obtained. Strong Saharan dust storms in coastal areas caused mean relative errors in the determination of wind speed by satellite microwave sensors of 16.3% at 10.7 GHz and of 20.3% at 37 GHz. The mean relative errors were smaller in the open sea area with 3.7% at 10.7 GHz and with 11.9% at 37 GHz.

A Ground-Truth Video Dataset for the Development and Evaluation of Vision-based Sense-and-Avoid systems

The importance of vision-based systems for Sense-and-Avoid is increasing nowadays as remotely piloted and autonomous UAVs become part of the non-segregated airspace. The development and evaluation of these systems demand flight scenario images which are expensive and risky to obtain. Currently Augmented Reality techniques allow the compositing of real flight scenario images with 3D aircraft models to produce useful realistic images for system development and benchmarking purposes at a much lower cost and risk. With the techniques presented in this paper, 3D aircraft models are positioned firstly in a simulated 3D scene with controlled illumination and rendering parameters. Realistic simulated images are then obtained using an image processing algorithm which fuses the images obtained from the 3D scene with images from real UAV flights taking into account on board camera vibrations. Since the intruder and camera poses are user-defined, ground truth data is available. These ground truth annotations allow to develop and quantitatively evaluate aircraft detection and tracking algorithms. This paper presents the software developed to create a public dataset of 24 videos together with their annotations and some tracking application results.

Buried Truth

Important events often go untold or are a blur of headlines and thirty-second sound bites. Narrative nonfiction crime writing, however, explores societal flaws in depth and can lead to greater awareness of a litany of public issues. The genre sparks the senses, evokes emotion, and exposes the human condition. Nearly thirty years ago, the remains of four people were discovered in Colorado who had been murdered violently. One was a hard-working truck driver. The other three were transient men, each trying to eke out a meager existence. Their collective story is about how they suffered and lost, and it involves determined detectives, a ruthless killer and his family, and a judicial and interagency law-enforcement system that succeeded and also failed.

The Lie That Tells the Truth: Creating Truth in Fiction and the Novel Delivering Hope

What makes fiction believable is the truth behind the words. This Capstone Project explores the ways in which authors put the truth on the page while simultaneously fabricating stories. The Reflective Paper examines writing techniques used to make the reader trust the story and the storyteller. The Creative Capstone is the result of applying these craft skills to Delivering Hope, a novel in progress about a critically ill baby bringing a dysfunctional family back together. The author relies on her personal experience of high- risk pregnancy and preterm birth to help create truth in her fiction.