Large scale analytic calculations in quantum field theories

We present a survey on the mathematical structure of zero- and single scale quantities and the associated calculation methods and function spaces in higher order perturbative calculations in relativistic renormalizable quantum field theories.Comment: 25 pages Latex, 1 style fil

Deep Brain Stimulation of the Central Lateral and Ventral Posterior Thalamus for Central Poststroke Pain Syndrome: Preliminary Experience.

OBJECTIVE The beneficial effects of thalamic deep brain stimulation (DBS) at various target sites in treating chronic central neuropathic pain (CPSP) remain unclear. This study aimed to evaluate the effectiveness of DBS at a previously untested target site in the central lateral (CL) thalamus, together with classical sensory thalamic stimulation (ventral posterior [VP] complex). MATERIALS AND METHODS We performed a monocentric retrospective study of a consecutive series of six patients with CPSP who underwent combined DBS lead implantation of the CL and VP. Patient-reported outcome measures were recorded before and after surgery using the numeric rating scale (NRS), short-form McGill pain questionnaire (sf-MPQ), EuroQol 5-D quality-of-life questionnaire, and Beck Depression Inventory. DBS leads were reconstructed and projected onto a three-dimensional stereotactic atlas. RESULTS NRS-but not sf-MPQ-rated pain intensity-was significantly reduced throughout the follow-up period of 12 months compared with baseline (p = 0.005, and p = 0.06 respectively, Friedman test). At the last available follow-up (12 to 30 months), three patients described a more than 50% reduction. Two of the three long-term responders were stimulated in the CL (1000 Hz, 90 μs, 3.5-5.0 mA), whereas the third preferred VP complex stimulation (50 Hz, 200 μs, 0.7-1.2 mA). No persistent procedure- or stimulation-associated side effects were noted. CONCLUSIONS These preliminary findings suggest that DBS of the CL might constitute a promising alternative target in cases in which classical VP complex stimulation does not yield satisfactory postoperative pain reduction. The results need to be confirmed in larger, prospective series of patients

Underground Mine Cost Control through Proper Mine Drainage- Bogala Mines

A Bogala graphite mine is located in the Kegalle district, Sri Lanka. Bogala mines has been experiencing a considerable water inflow during the past many years, involving a significant cost on mine dewatering compared to other production costs. Daily mine dewatering data shows that the average volume of water to be pumped out from the mine is approximately 1.5 million gallons per day and, the cost incurred for mine dewatering is approximately Rs. 1.3 million a month. This research focuses on identifying the interconnection between the leakage points in two levels, with major water seepage takes place above 72 fathom levels and significant intrusion is at 52 fathoms level. Environmental isotope analysis were carried out in underground seepage locations to identify the exact locations where water recharging takes place inside the mine. Water samples were collected from leakage locations. They were analysed to measure the Oxygen-18 and Deuterium contents. The local meteoric water line was drawn with the help of rain water samples. The Oxygen-18 and Deuterium content was plotted in a graph in various suspected combinations. The clustered locations were analysed in a graph and tried to identify the interconnection between leakage points in two levels. Some possible interconnections were identified between 52 and 72 fathom levels

Substrate Signal Inhibition in Raman Analysis of Microplastic Particles

International audienceIn Raman analysis, the substrate material serves very often for signal enhancement, especially when metallic surfaces are involved; however, in other cases, the substrate has an opposite effect as it is the source of a parasitic signal preventing the observation of the sample material of interest. This is particularly true with the advent of microfluidic devices involving either silicon or polymer surfaces. On the other hand, in a vast majority of Raman experiments, the analysis is made on a horizontal support holding the sample of interest. In our paper, we report that a simple tilting of the supporting substrate, in this case, silicon, can drastically decrease and eventually inhibit the Raman signal of the substrate material, leading to an easier observation of the target analyte of the sample, in this case, microplastic particles. This effect is very pronounced especially when looking for tiny particles. Explanation of this trend is provided thanks to a supporting experiment and further numerical simulations that suggest that the lensing effect of the particles plays an important role. These findings may be useful for Raman analysis of other microscale particles having curved shapes, including biological cells

Substrate signal inhibition in Raman analysis of microplastic particles

In Raman analysis, the substrate material serves very often for signal enhancement, especially when metallic surfaces are involved; however, in other cases, the substrate has an opposite effect as it is the source of a parasitic signal preventing the observation of the sample material of interest. This is particularly true with the advent of microfluidic devices involving either silicon or polymer surfaces. On the other hand, in a vast majority of Raman experiments, the analysis is made on a horizontal support holding the sample of interest. In our paper, we report that a simple tilting of the supporting substrate, in this case, silicon, can drastically decrease and eventually inhibit the Raman signal of the substrate material, leading to an easier observation of the target analyte of the sample, in this case, microplastic particles. This effect is very pronounced especially when looking for tiny particles. Explanation of this trend is provided thanks to a supporting experiment and further numerical simulations that suggest that the lensing effect of the particles plays an important role. These findings may be useful for Raman analysis of other microscale particles having curved shapes, including biological cells.Published versionThis project received support from the I-SITEFUTURE Initiative (Reference ANR-16-IDEX-0003) in the frame of the project NANO-4-WATER as well as the METAWATER Project (ANR-20-CE08-0023 META-WATER)

A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy

AbstractMicroplastics contaminating drinking water is a growing issue that has been the focus of a few recent studies, where a major bottleneck is the time-consuming analysis. In this work, a micro-optofluidic platform is proposed for fast quantification of microplastic particles, the identification of their chemical nature and size, especially in the 1–100 µm size range. Micro-reservoirs ahead of micro-filters are designed to accumulate all trapped solid particles in an ultra-compact area, which enables fast imaging and optical spectroscopy to determine the plastic nature and type. Furthermore, passive size sorting is implemented for splitting the particles according to their size range in different reservoirs. Besides, flow cytometry is used as a reference method for retrieving the size distribution of samples, where chemical nature information is lost. The proof of concept of the micro-optofluidic platform is validated using model samples where standard plastic particles of different size and chemical nature are mixed.</jats:p

A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy

Microplastics contaminating drinking water is a growing issue that has been the focus of a few recent studies, where a major bottleneck is the time-consuming analysis. In this work, a micro-optofluidic platform is proposed for fast quantification of microplastic particles, the identification of their chemical nature and size, especially in the 1-100 µm size range. Micro-reservoirs ahead of micro-filters are designed to accumulate all trapped solid particles in an ultra-compact area, which enables fast imaging and optical spectroscopy to determine the plastic nature and type. Furthermore, passive size sorting is implemented for splitting the particles according to their size range in different reservoirs. Besides, flow cytometry is used as a reference method for retrieving the size distribution of samples, where chemical nature information is lost. The proof of concept of the micro-optofluidic platform is validated using model samples where standard plastic particles of different size and chemical nature are mixed