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Determining the brain perfusion is an important task for diagnosis of vascular diseases such as occlusions and intracerebral haemorrhage. Even after successful diagnosis, there is a high risk of restenosis or rebleeding such that patients need intense attention in the days after treatment. Within this work, we present a diagnostic tomographic imager that allows access to brain perfusion quantitatively in short intervals. The device is based on the magnetic particle imaging technology and is designed for human scale. It is highly sensitive and allows the detection of an iron concentration of 263 pmol Fe  ml −1 , which is one of the lowest iron concentrations imaged by MPI so far. The imager is self-shielded and can be used in unshielded environments such as intensive care units. In combination with the low technical requirements this opens up a variety of medical applications and would allow monitoring of stroke on intensive care units. Magnetic particle imaging (MPI) has been applied to various pre-clinical settings, including detection of ischemic stroke in mice. Translation of MPI to a clinical setting has been obstacled by the lack of a device with sufficient bore size and, at the same time, reasonable technical requirements. Here the authors present a human-sized MPI device with low technical requirements designed for detection of brain ischemia.

The area of smart textiles has recently attracted more and more attention. One of the challenges in this domain is the development of textile sensors, such as textile electrodes, pressure sensors, elongation sensors, etc., mostly containing conductive yarn and/or conductive coating. One possibility to build a textile elongation sensor which can, for example, be utilized as a breathing sensor in a smart shirt, is using knitted fabrics created from conductive yarns, which often show a strong dependence of the electric resistance on the elongation. Due to the typical wearing out of knitted fabrics, however, the time-dependent behavior of a stretched fabric must also be taken into account. The article thus shows the results of elongation-dependent and time-dependent resistance measurements on knitted fabrics, produced from different yarns in various structures and stitch dimensions, elongated in different orientations with respect to the course direction. The results of our study show that full cardigan with medium stitch size is better suited for use as an elongation sensor than double face fabrics or other stitch sizes. These findings are not influenced by the stainless steel fraction in the conduction yarn, while mixing this yarn with a non-conductive one causes undesired signal deviations.

This study compared a noninvasive approach to the diagnosis of coronary disease, coronary magnetic resonance angiography, with standard invasive x-ray coronary angiography. Magnetic resonance angiography accurately detected proximal and mid-coronary stenoses, especially three-vessel and left main coronary artery disease. It was particularly effective in ruling out coronary disease. Magnetic resonance angiography accurately detected proximal and mid-coronary stenoses. It was particularly effective in ruling out coronary disease. Despite progress in prevention and early diagnosis, coronary artery disease remains the leading cause of death in both men and women in the United States 1 and throughout the Western world. Invasive x-ray coronary angiography remains the gold standard for the identification of clinically significant coronary artery disease. Although numerous noninvasive tests have been developed to assist in the identification of patients with coronary artery disease, a substantial minority of patients referred for elective diagnostic x-ray coronary angiography are found not to have clinically significant coronary stenosis (defined as a reduction in the luminal diameter of at least 50 percent). 2 A . . .

One of the techniques which can be used to quantitatively evaluate images statistically is the so-called random-walk approach. The resulting Hurst exponent is a measure of the complexity of the picture. Especially long, fine elements in the image, such as fibres, influence the Hurst exponent significantly. Thus, determination of the Hurst exponent has been suggested as new method to measure the hairiness of yarns or knitted fabrics, since existing hairiness measurement instruments are based on different measurement principles which are not comparable. While the principal usability of this method for hairiness detection has been shown in former projects, the absolute value of the calculated Hurst exponents depends on the technique to take the photographic image of a sample, to transfer it into a monochrome picture, and on possible image processing steps. This article gives an overview of edge detection filters, possible definitions of the threshold value between black and white for the transformation into a monochrome image, etc. It shows how these parameters should be chosen in case of typical textile samples and correlates the challenges of this novel method with well-known problems of common techniques to measure yarn and fabric hairiness.

Smart textiles are a growing and fascinating field with enormous potential in the field of wearable electronics: shirts with integrated electrodes, socks stimulating the blood circulation or heating clothing are just a few examples of wearable, smart textile products. Most often, the technology of choice for on-the-body-worn smart textiles is knitting as it results in stretchable and, hence comfortable garments. This presentation explores the knitting technology in respect to smart textiles giving an overview of current research activities as well as commercially available products on the market. It further intends to foster the transfer of research approaches into business applications as well as to develop new challenging research ideas.

In the field of protective gear, developers always aim for lighter and more flexible material in order to increase the wearing comfort. Suppliers now work on knitted garments in the sports-sector as well as in workwear and protective gear for policemen or security-agents. In a recent project different knitted structures made of a poly(p-phenylene-2,6-benzobisoxazole) (PBO)-multifilament were compared to their counterparts made of para-aramid. In focus of the comparison stood the stab-resistance linked to either the mass per unit area or the stitch density. The tested fabrics were produced on hand flat knitting machines as well as on electronical flat knitting machines of the type Stoll CMS 330TC4, in order to analyse fabrics with different tightness factor and machine gauges. The stab resistance of the different knitted fabrics was examined according to the standard of the Association of Test Laboratories for Bullet, Stab or Pike Resistant Materials and Construction Standards. The presentation includes the depiction of the results of the test series and their interpretation. Furthermore it will give an outlook on most suitable combinations of materials and structures to be used in protective gear.

Conductive yarns or wires are often integrated in smart textiles to enable data or energy transmission. In woven fabrics, these conductive parts are fixed at defined positions and thus protected from external loads. Knitted fabrics, however, have relatively loose structures, resulting in higher impacts of possible mechanical forces on the individual yarns. Hence, metallic wires with smaller diameters in particular are prone to break when integrated in knitted fabrics. In a recent project, wires of various materials including copper, silver and nickel with diameters varying between 0.05 mm and 0.23 mm were knitted in combination with textile yarns. Hand flat knitting machines of appropriate gauges were used to produce different structures. On these samples, non-destructive examinations, using an industrial X-ray system Seifert x|cube (225 kV) equipped with a minifocus X-ray tube, were carried out, directly after knitting as well as after different mechanical treatments (tensile, burst, and washing tests). In this way, structural changes of the stitch geometry could be visualized before failure. In this paper, the loop geometries in the knitted fabrics are depicted depending on knitted structures, wire properties and the applied mechanical load. Consequently, it is shown which metallic wires and yarns are most suitable to be integrated into knitted smart textiles.

Determining the brain perfusion is an important task for the diagnosis and treatment of vascular diseases such as occlusions and intracerebral haemorrhage. Even after successful diagnosis and treatment, there is a high risk of restenosis or rebleeding such that patients need intense and frequent attention in the days after treatment. Within this work, we will present a diagnostic tomographic imager that allows access to brain perfusion information quantitatively in short intervals. The imager is the first functional magnetic particle imaging device for brain imaging on a human-scale. It is highly sensitive and allows the detection of an iron concentration of 14.7 ng /ml (263 pmol\\ml), which is the lowest iron concentration imaged by MPI so far. The imager is self-shielded and can be used in unshielded environments such as intensive care units. In combination with the low technical requirements this opens up a whole variety of possible medical applications and would allow monitoring possibilities on the stroke and intensive care units.

Provides wildlife professionals with cutting-edge scientific information on the most damaging and newly emerging wildlife diseases.Wildlife diseases and their implications are at the forefront of many sectors of scientific endeavor, especially in the wake of the COVID-19 pandemic. Nearly 60 percent of all human diseases and 75 percent of all emerging infectious diseases are zoonotic. Edited by pioneering wildlife veterinarians David A. Jessup and Robin W. Radcliffe, Wildlife Disease and Health in Conservation explores the origins and impacts of as well as the responses to the most damaging and persistent diseases currently threatening wildlife conservation.Focusing mainly on newer, invasive, and controversial wildlife health challenges, this book also reexamines classic diseases that provide warnings and important lessons for wildlife professionals and policy makers. Each chapter offers cutting-edge scientific information and extensive references to help readers plan for, respond to, and conduct research on these serious health challenges. This book:• Reports crucial findings on newly emerging diseases and how to recognize and manage them• Explores the health of critical but often neglected aquatic ecosystems, including both vertebrate and invertebrate examples• Covers a vast diversity of wildlife health threats, from epizootic bighorn sheep pneumonia and African swine fever to sea star wasting disease, avian influenza, and rabbit hemorrhagic disease• Explains zoonotic dangers to humans, including coronaviruses • Includes information on marine and aquatic species, wild ungulate species, carnivores and omnivores, birds, and more• Provides insight into the social, legal, financial, and political factors that may override or influence conservation priorities in response to biomedical challengesFeaturing detailed and attractive field notes–style illustrations by Laura Donohue and essential essays from experts in the field, Wildlife Disease and Health in Conservation combines theory and practice to inform and inspire wildlife health and conservation.