Geometric facial comparisons in speed-check photographs

In many cases, it is not possible to call the motorists to account for their considerable excess in speeding, because they deny being the driver on the speed-check photograph. An anthropological comparison of facial features using a photo-to-photo comparison can be very difficult depending on the quality of the photographs. One difficulty of that analysis method is that the comparison photographs of the presumed driver are taken with a different camera or camera lens and from a different angle than for the speed-check photo. To take a comparison photograph with exactly the same camera setup is almost impossible. Therefore, only an imprecise comparison of the individual facial features is possible. The geometry and position of each facial feature, for example the distances between the eyes or the positions of the ears, etc., cannot be taken into consideration. We applied a new method using 3D laser scanning, optical surface digitalization, and photogrammetric calculation of the speed-check photo, which enables a geometric comparison. Thus, the influence of the focal length and the distortion of the objective lens are eliminated and the precise position and the viewing direction of the speed-check camera are calculated. Even in cases of low-quality images or when the face of the driver is partly hidden, good results are delivered using this method. This new method, Geometric Comparison, is evaluated and validated in a prepared study which is described in this article.

[The image of dentistry. Part 2: The ideal dentist]

Our second part of the publication entitled "The image of Dentistry" discusses the properties that correspond to the ideal image of dentistry or even the ideal scientist such as the management of the dental practice, the dentist-patient relationship and the appropriate handling of the patient's emotions such as anxiety or pain. The quality of treatment and the friendly, honest and compassionate attitude of the dentist can immediately affect the image of dentistry. Therefore, the dental professional must try to keep the balance between practice profit, staffing and patient well-being in order to fulfill both social and public health responsibilities.

[The image of the dentist. Part 1: Results of a literature search]

The dentist enjoys a high degree of professional independence. He is seen as reliable and productive at work while carrying a big responsibility. His foremost social responsibility is to treat patients suffering from toothache and to promote oral health prevention for all people, regardless of their social status. At the same time, the dentist is prestigious, respected and honest. Comparable to other professions, however, dentistry is under public pressure. Media often associate the dental profession with negative properties such as sadism, immorality, or madness. Does the image of the dental profession suffer in this context? Our first article discusses the environmental factors which are identifiable to influence both each dentist and ultimately the whole image of dentistry.

Evidence based check-up: the general medical point of view

Check-up is a frequent motivation for patients to see their general practitioner. The challenge lies in the choice of screening tools to accomplish an efficient, individual and age-adapted approach. In this article we review evidence-based screening methods, whose efficacy has been demonstrated by randomized clinical trials, as well as their application in clinical practice. While cardiovascular check-up has a high grade of evidence for nearly all patients, counselling to lifestyle change except for smoking cessation has been proved with lower evidence. In contrast, relatively new is the fact that ultrasound to screen for an abdominal aortic aneurysm is useful among men smokers or past smokers between 65 and 75 years old.

Keeping bugs in check: The mucus layer as a critical component in maintaining intestinal homeostasis

In the mammalian gastrointestinal tract the close vicinity of abundant immune effector cells and trillions of commensal microbes requires sophisticated barrier and regulatory mechanisms to maintain vital host-microbial interactions and tissue homeostasis. During co-evolution of the host and its intestinal microbiota a protective multilayered barrier system was established to segregate the luminal microbes from the intestinal mucosa with its potent immune effector cells, limit bacterial translocation into host tissues to prevent tissue damage, while ensuring the vital functions of the intestinal mucosa and the luminal gut microbiota. In the present review we will focus on the different layers of protection in the intestinal tract that allow the successful mutualism between the microbiota and the potent effector cells of the intestinal innate and adaptive immune system. In particular, we will review some of the recent findings on the vital functions of the mucus layer and its site-specific adaptations to the changing quantities and complexities of the microbiota along the (gastro-) intestinal tract. Understanding the regulatory pathways that control the establishment of the mucus layer, but also its degradation during intestinal inflammation may be critical for designing novel strategies aimed at maintaining local tissue homeostasis and supporting remission from relapsing intestinal inflammation in patients with inflammatory bowel diseases.

NLCHECK: Stata module to check linearity assumption after model estimation

nlcheck is a simple diagnostic tool that can be used after fitting a model to quickly check the linearity assumption for a given predictor. nlcheck categorizes the predictor into bins, refits the model including dummy variables for the bins, and then performs a joint Wald test for the added parameters. Alternative, nlcheck uses linear splines for the adaptive model. Support for discrete variables is also provided. Optionally, nlcheck also displays a graph of the adjusted linear predictions from the original model and the adaptive model

Null Check Analysis

Null dereferencing is one of the most frequent bugs in Java systems causing programs to crash due to the uncaught NullPointerException. Developers often fix this bug by introducing a guard (i.e., null check) on the potentially-null objects before using them. In this paper we investigate the null checks in 717 open-source Java systems to understand when and why developers introduce null checks. We find that 35 of the if-statements are null checks. A deeper investigation shows that 71 of the checked-for-null objects are returned from method calls. This indicates that null checks have a serious impact on performance and that developers introduce null checks when they use methods that return null.