Measurement of distributed strain and temperature based on higher order and higher mode Bragg conditions

A Bragg grating sensor for measuring distributed strain and temperature at the same time comprises an optical fiber having a single mode operating wavelength region and below a cutoff wavelength of the fiber having a multimode operating wavelength region. A saturated, higher order Bragg grating having first and second order Bragg conditions is fabricated in the optical fiber. The first order of Bragg resonance wavelength of the Bragg grating is within the single mode operating wavelength region of the optical fiber and the second order of Bragg resonance wavelength is below the cutoff wavelength of the fiber within the multimode operating wavelength region. The reflectivities of the saturated Bragg grating at the first and second order Bragg conditions are less than two orders of magnitude of one another. In use, the first and second order Bragg conditions are simultaneously created in the sensor at the respective wavelengths and a signal from the sensor is demodulated with respect to each of the wavelengths corresponding to the first and second order Bragg conditions. Two Bragg conditions have different responsivities to strain and temperature, thus allowing two equations for axial strain and temperature to be found in terms of the measure shifts in the primary and second order Bragg wavelengths. This system of equations can be solved for strain and temperature

Withania somnifera ameliorates nandrolone-decanoate-induced brain damage in rats by inhibiting cell death, prodynorphin mRNA expression and acetylcholinesterase activity

685-693The misuse of anabolic-androgenic steroids by athletes and non-athletes causes harmful effects on the central nervous system. In Ayurvedic medicine, Withania somnifera (WS) as an herbal drug has been reported for several functions including adaptogenic, anticonvulsant, cytoprotective and antioxidant. The present study investigated the neuroprotective functions of WS (100, 200 and 400 mg/kg body weight) in nandrolone decanoate (ND)-induced (16 mg/kg body weight) brain injury in male Wistar rats. ND was injected intramuscularly twice weekly for 4 weeks. The water emulsion of WS root powder was administered orally once daily for 30 days to ND-treated rats. At the end of the experiment, anxiety-like behaviour was assessed in rats using the elevated plus maze. Haematoxylin-and-eosin-stained coronal sections of the parietal cortex and hippocampus of ND rats showed severe alterations in brain histology compared with control rats. Acetylcholinesterase (AChE) activity in the striatum and prodynorphin gene expression in the hippocampus was significantly elevated in the ND group compared with the control group. Treating ND induced rats with various doses of WS significantly reversed the brain damage, anxiety behaviour, increased striatal AChE activity and reduced prodynorphin gene expression in the hippocampus. In conclusion, WS extract can be used as a neuroprotective agent to reduce the effects of anabolic steroids

Withania somnifera ameliorates nandrolone-decanoate-induced brain damage in rats by inhibiting cell death, prodynorphin mRNA expression and acetylcholinesterase activity

The misuse of anabolic-androgenic steroids by athletes and non-athletes causes harmful effects on the central nervous system. In Ayurvedic medicine, Withania somnifera (WS) as an herbal drug has been reported for several functions including adaptogenic, anticonvulsant, cytoprotective and antioxidant. The present study investigated the neuroprotective functions of WS (100, 200 and 400 mg/kg body weight) in nandrolone decanoate (ND)-induced (16 mg/kg body weight) brain injury in male Wistar rats. ND was injected intramuscularly twice weekly for 4 weeks. The water emulsion of WS root powder was administered orally once daily for 30 days to ND-treated rats. At the end of the experiment, anxiety-like behaviour was assessed in rats using the elevated plus maze. Haematoxylin-and-eosin-stained coronal sections of the parietal cortex and hippocampus of ND rats showed severe alterations in brain histology compared with control rats. Acetylcholinesterase (AChE) activity in the striatum and prodynorphin gene expression in the hippocampus was significantly elevated in the ND group compared with the control group. Treating ND induced rats with various doses of WS significantly reversed the brain damage, anxiety behaviour, increased striatal AChE activity and reduced prodynorphin gene expression in the hippocampus. In conclusion, WS extract can be used as a neuroprotective agent to reduce the effects of anabolic steroids

Towards video-based surgical workflow understanding in open orthopaedic surgery

Safe and efficient surgical training and workflow management play a critical role in clinical competency and ultimately, patient outcomes. Video data in minimally invasive surgery (MIS) have enabled opportunities for vision-based artificial intelligence (AI) systems to improve surgical skills training and assurance through post-operative video analysis and development of real-time computer-assisted interventions (CAI). Despite the availability of mounted cameras for the operating room (OR), similar capabilities are much more complex to develop for recording open surgery procedures, which has resulted in a shortage of exemplar video-based training materials. In this paper, we present a potential solution to record open surgical procedures using head-mounted cameras. Recorded videos were anonymised to remove patient and staff identifiable information using a machine learning algorithm that achieves state-of-the-art results on the OR Face dataset. We then propose a CNN-LSTM-based model to automatically segment videos into different surgical phases, which has never been previously demonstrated in open procedures. The redacted videos, along with the automatically predicted phases, are then available for surgeons and their teams for post-operative review and analysis. To our knowledge, this is the first demonstration of the feasibility of deploying camera recording systems and developing machine learning-based workflow analysis solutions for open surgery, particularly in orthopaedics

The burden of disease attributable to ambient PM2.5-bound PAHs exposure in Nagpur, India

Polycyclic aromatic hydrocarbons (PAHs) bound to PM2.5 are genotoxic carcinogens that can also elicit non-cancer effects. Previous studies report substantial burdens of PAHs-related lung cancer, but no estimate for other cancer types or non-carcinogenic burden. Here, we assessed the burden of disease, in DALYs/person/year, attributable to thirteen priority PAHs in PM2.5 in Nagpur district, for several endpoints linked to benzo[a]pyrene, to inform policy decision-making for mitigation. We conducted detailed assessment of concentrations of PAHs in nine areas, covering urban, peri-urban and rural environments, from February 2013 to June 2014. PAHs concentrations were converted to benzo[a]pyrene equivalent concentration for cancer and non-cancer effects using relative potency factors and relative toxicity factors derived from quantitative structure-activity relationships, respectively. We derived severity for each endpoint using GBD 2016 dataset. The annual average concentration of total PAHs in Nagpur district was 458±246 ng/m3, and results in 0.011 DALYs/person/year (49,000 DALYs/year), much higher than the WHO reference limit of 1×10-6 DALYs/person/year. PAHs-related burden follow this order: developmental (mostly cardiovascular) impairment (55.1%) > cancer (26.5%) or lung cancer (23.1%) > immunological impairment (18.0%) > reproductive abnormally (0.4%). The estimated DALYs/person/year is high. Mitigation intervention should target combustion sources having the highest level of exposure

Boundary Terms and Junction Conditions for Generalized Scalar-Tensor Theories

We compute the boundary terms and junction conditions for Horndeski's panoptic class of scalar-tensor theories, and write the bulk and boundary equations of motion in explicitly second order form. We consider a number of special subclasses, including galileon theories, and present the corresponding formulae. Our analysis opens up of the possibility of studying tunnelling between vacua in generalized scalar-tensor theories, and braneworld dynamics. The latter follows because our results are independent of spacetime dimension.Comment: 13 pages, Equation corrected. Thanks to Tsutomu Kobayashi for informing us of the typ

The health burden and economic costs averted by ambient PM 2.5 pollution reductions in Nagpur, India

National estimates of the health and economic burdens of exposure to ambient fine particulate matter (PM2.5) in India reveal substantial impacts. This information, often lacking at the local level, can justify and drive mitigation interventions. Here, we assess the health and economic gains resulting from attainment of WHO guidelines for PM2.5 concentrations – including interim target 2 (IT-2), interim target 3 (IT-3), and theWHO air quality guideline (AQG) – in Nagpur district to inform policy decision making for mitigation. We conducted a detailed assessment of concentrations of PM2.5 in 9 areas, covering urban, peri-urban and rural environments, from February 2013 to June 2014. We used a combination of hazard and survival analyses based on the life table method to calculate attributed annual number of premature deaths and disability-adjusted life years (DALYs) for five health outcomes linked to PM2.5 exposure: acute lower respiratory infection for children b5 years, ischemic heart disease, chronic obstructive pulmonary disease, stroke and lung cancer in adults !25 years. We used GBD 2013 data on deaths and DALYs for these diseases. We calculated averted deaths, DALYs and economic loss resulting from planned reductions in average PM2.5 concentration from current level to IT-2, IT-3 and AQG by the years 2023, 2033 and 2043, respectively. The economic cost for premature mortality was estimated as the product of attributed deaths and value of statistical life for India, while morbidity was assumed to be 10% of the mortality cost. The annual average PM2.5 concentration in Nagpur district is 34± 17 μg m−3 and results in 3.3 (95% confidence interval [CI]: 2.6, 4.2) thousand premature deaths and 91 (95% CI: 68, 116) thousand DALYs in 2013 with economic loss of USD 2.2 (95% CI: 1.7, 2.8) billion in that year. It is estimated that interventions that achieve IT-2, IT-3 and AQG by 2023, 2033 and 2043,would avert, respectively, 15, 30 and 36%, of the attributed health and economic loss in those years, translating into an impressively large health and economic gain. To achieve this, we recommend an exposure-integrated source reduction approach