A Focus Group Research on the Use of Wearable Health Technologies in Rehabilitation

Wearable technologies are becoming more and more effective thanks to what they promise. The conversion of these technological developments into the devices which can be used in health industry has ensured a common ground for informatics and health specialists. The study depicted in this article was conducted for the use of wearable health technologies in rehabilitation. The perspectives, attitudes, behaviours and expectations of the participant individuals were researched and it was intended to obtain such findings that could direct new technologies. The focus group method established by six specialist academicians was employed for this study. The findings were reported as written records. A discussion chapter was also included in the article to provide an insight for future studies.

Nanodiamonds with photostable, sub-gigahertz linewidths quantum emitters

Single photon emitters with narrow linewidths are highly sought after forapplications in quantum information processing and quantum communications. Inthis letter, we report on a bright, highly polarized near infrared singlephoton emitter embedded in diamond nanocrystals with a narrow, sub GHz opticallinewidths at 10K. The observed zero phonon line at ~ 780 nm is opticallystable under low power resonant excitation and blue shifts as the excitationpower increases. Our results highlight the prospect for using new near infraredcolor centers in nanodiamonds for quantum applications.

Reservoir Computing using Stochastic p-Bits

We present a general hardware framework for building networks that directlyimplement Reservoir Computing, a popular software method for implementing andtraining Recurrent Neural Networks and are particularly suited for temporalinferencing and pattern recognition. We provide a specific example of acandidate hardware unit based on a combination of soft-magnets, spin-orbitmaterials and CMOS transistors that can implement these networks. Efficient nonvon-Neumann hardware implementation of reservoir computers can open up apathway for integration of temporal Neural Networks in a wide variety ofemerging systems such as Internet of Things (IoTs), industrial controls, bio-and photo-sensors, and self-driving automotives.

Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI

A central limitation of multiple-acquisition magnetic resonance imaging (MRI)is the degradation in scan efficiency as the number of distinct datasets grows.Sparse recovery techniques can alleviate this limitation via randomlyundersampled acquisitions. A frequent sampling strategy is to prescribe foreach acquisition a different random pattern drawn from a common samplingdensity. However, naive random patterns often contain gaps or clusters acrossthe acquisition dimension that in turn can degrade reconstruction quality orreduce scan efficiency. To address this problem, a statistically-segregatedsampling method is proposed for multiple-acquisition MRI. This method generatesmultiple patterns sequentially, while adaptively modifying the sampling densityto minimize k-space overlap across patterns. As a result, it improvesincoherence across acquisitions while still maintaining similar samplingdensity across the radial dimension of k-space. Comprehensive simulations andin vivo results are presented for phase-cycled balanced steady-state freeprecession and multi-echo T$_2$-weighted imaging. Segregated sampling achievessignificantly improved quality in both Fourier and compressed-sensingreconstructions of multiple-acquisition datasets.

Modèle monocouche équivalent de plaque multicouche orthotrope

High-Resolution Wavenumber Analysis (HRWA) for anisotropic laminates characterization

Dye‐Sensitized Cu 2 XSnS 4 (X=Zn, Ni, Fe, Co, and Mn) Nanofibers for Efficient Photocatalytic Hydrogen Evolution

The photocatalytic hydrogen evolution activities of low‐cost and noble‐metal‐free Cu 2 XSnS 4 (X=Zn, Ni, Fe, Co, and Mn) nanofiber catalysts have been investigated using triethanolamine as an electron donor and eosin Y as a photosensitizer under visible‐light irradiation. The rates of hydrogen evolution by Cu 2 XSnS 4 (X=Zn, Ni, Fe, Co, and Mn) nanofibers have been compared with each other and with that of the noble metal Pt. The hydrogen evolution rates for the nanofibers change in the order Cu 2 NiSnS 4 >Cu 2 FeSnS 4 >Cu 2 CoSnS 4 >Cu 2 ZnSnS 4 >Cu 2 MnSnS 4 (2028, 1870, 1926, 1420, and 389 μmol g −1  h −1 , respectively). The differences between the hydrogen evolution rates of the nanofibers could be attributed to their energy levels. Moreover, Cu 2 NiSnS 4 , Cu 2 FeSnS 4 , and Cu 2 CoSnS 4 nanofibers show higher and more stable photocatalytic hydrogen production rates than that of the noble metal Pt under long‐term irradiation with visible light.

Assemblages of saproxylic beetles on large downed trunks of oak

Old living oaks ( Quercus robur ) are known as a very species‐rich habitat for saproxylic beetles, but it is less clear to what extent such veteran trees differ from an even rarer feature: downed trunks of large oaks. In this study, we set out to sample this habitat, using window traps, with two aims: (1) to describe the variation of assemblages among downed trunks of different type and (2) to compare beetles on downed oaks with data from veteran standing trees. The results showed that trunk volume and sun exposure better explained assemblages as well as species numbers on downed trunks than did decay stage. Furthermore, species classified as facultative saproxylic species showed weak or no differentiation among downed trunks. Species with different feeding habits showed no apparent differentiation among downed trunks. Furthermore, species composition on dead, downed oak trunks differed sharply from that of living, veteran oaks. Wood or bark feeders were more common on veterans than downed trunks, but there was no difference for those species feeding on fungi or those feeding on insects and their remains. In conclusion, for a successful conservation of the saproxylic beetle fauna it is important to keep downed oak trunks, and particularly large ones, in forest and pastures as they constitute a saproxylic habitat that differs from that of living trees.

Multimodal imaging analysis of an orthotopic head and neck cancer mouse model and application of anti‐CD137 tumor immune therapy

Background Recent technical progress makes sophisticated noninvasive imaging methods available for murine models. For the first time, in this study, we applied fluorodeoxyglucose (FDG)‐positron emission tomography (PET)‐CT and FDG‐PET‐MRI to a murine orthotopic model of head and neck cancer immunotherapy. Methods Tumor growth of floor of the mouth tumors was evaluated by multimodal small‐animal imaging using FDG‐PET‐CT and FDG‐PET‐MRI. The immunotherapeutic effects of anti‐CD137 antibody therapy were examined on body weight, tumor growth, and tumor‐infiltrating immune cells in longitudinal imaging studies and immunohistochemical analyses. Results Imaging revealed aggressive, fast‐growing tumors without evidence of local or distant metastases. CD137 immunotherapy decreased tumor take and growth and stabilized body weight over time. A clear case of tumor regression was demonstrated by longitudinal PET‐CT. Conclusion The murine model mimics the characteristics of head and neck cancer in humans and offers excellent opportunities to investigate immunomodulatory anticancer drugs. The CD137 antibody showed antitumor effects in some therapy‐responsive mice. © 2015 Wiley Periodicals, Inc. Head Neck 38: 542–549, 2016

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