Evaluation of the transverse load capacity of block stoppings for mine ventilation control

The transverse loading requirement for stoppings as specified in the current Code of Federal Regulations is 39 psf. This measure is based on physical testing of a freestanding wall in accordance with ASTM E 72 specifications, where the dominant parameter is the tensile strength of the sealant. A new protocol based on arching has been developed to determine the true transverse load capacity of stoppings. Arching is achieved by the restraint of the stopping against the mine roof and floor, whereby compressive forces are developed within the wall. A laboratory procedure using the NIOSH Mine Roof Simulator (MRS) to simulate rigid-arching of stoppings was developed and verified through full-scale in-mine tests. Using this protocol, a systematic study of the design parameters that affect arching capability in block stoppings was conducted. The study included a theoretical assessment of arching and development of design formulations that can accurately define the transverse load capacity of various stopping constructions under various loading conditions. This approach should lead to a safer mine environment by matching the transverse load capabilities of the stopping design to the requirements in the mine to ensure proper ventilation control is maintained

Development of new protocols to evaluate the transverse loading of mine ventilation stoppings

The transverse loading requirement for stoppings as specified in the current Code of Federal Regulations is 39 psf. This measure is based on physical testing of a freestanding wall in accordance with ASTM E 72 specifications, where the dominant parameter is the tensile strength of the sealant. A new protocol based on rigid arching is proposed to determine the true transverse load capacity of stoppings. Arching is achieved by the restraint of the stopping against the mine roof and floor, whereby compressive forces are developed within the wall. A laboratory procedure using the NIOSH Mine Roof Simulator (MRS) to simulate rigid-arching of stoppings was developed and verified through full-scale in-mine tests. The rigid arching tests have demonstrated transverse load capacities more than an order of magnitude higher than the current 39-psf requirement. More importantly, the load capability is dependent on the physical properties of the block and not the sealant

A new 2D static hand gesture colour image dataset for ASL gestures

It usually takes a fusion of image processing and machine learning algorithms in order to build a fully-functioning computer vision system for hand gesture recognition. Fortunately, the complexity of developing such a system could be alleviated by treating the system as a collection of multiple sub-systems working together, in such a way that they can be dealt with in isolation. Machine learning need to feed on thousands of exemplars (e.g. images, features) to automatically establish some recognisable patterns for all possible classes (e.g. hand gestures) that applies to the problem domain. A good number of exemplars helps, but it is also important to note that the efficacy of these exemplars depends on the variability of illumination conditions, hand postures, angles of rotation, scaling and on the number of volunteers from whom the hand gesture images were taken. These exemplars are usually subjected to image processing first, to reduce the presence of noise and extract the important features from the images. These features serve as inputs to the machine learning system. Different sub-systems are integrated together to form a complete computer vision system for gesture recognition. The main contribution of this work is on the production of the exemplars. We discuss how a dataset of standard American Sign Language (ASL) hand gestures containing 2425 images from 5 individuals, with variations in lighting conditions and hand postures is generated with the aid of image processing techniques. A minor contribution is given in the form of a specific feature extraction method called moment invariants, for which the computation method and the values are furnished with the dataset

WARTOŚĆ TECHNOLOGICZNA PSZENICY JAREJ ODMIANY ZEBRA W ZALEŻNOŚCI OD SPOSOBU APLIKACJI AZOTU I MAGNEZU

A significant increase in grain yield was observed following soil fertilization with nitrogen up to the level of 90 kg·ha-1, independently of foliar fertilization. Among the examined variants of foliar fertilization on average, the significantly highest grain yield was obtained in the objects in which nitrogen and magnesium were administered in parallel. Within the entire range of nitrogen doses administered to soil, a moderately significant increase was noted in total protein content, to the level of 90 kg N·ha-1 a moderately increased content of wet gluten, sedimentation ratio and bread volume were recorded and following application of 60 kg N·ha-1 an increase in water absorbability of flour was observed. Independently of the soil fertilization with nitrogen, the most favourable of the studied variants of foliar fertilization for principal parameters of baking value proved to be a parallel application of nitrogen and magnesium or administration of nitrogen only.Istotny wzrost plonu ziarna stwierdzono po zastosowaniu doglebowo dawki azotu do poziomu 90 kg·ha-1, niezależnie od nawożenia dolistnego. Spośród badanych wariantów nawożenia dolistnego średnio istotnie najwyższy plon ziarna uzyskano na obiektach, gdzie zastosowano łącznie azot i magnez. Stwierdzono, w całym zakresie zastosowanych doglebowo dawek azotu, średnio istotny wzrost zawartości białka ogólnego, do poziomu 90 kg N·ha-1 średnio istotny wzrost zawartości mokrego glutenu, wskaźnika sedymentacji i objętości pieczywa, a po zastosowaniu 60 kg N·ha- 1 wodochłonności mąki. Najkorzystniejszym spośród badanych wariantów nawożenia dolistnego, niezależnie od zastosowanego doglebowo nawożenia azotem, dla najważniejszych wyróżników wartości wypiekowej okazało się łączne zastosowanie azotu i magnezu lub tylko azotu

Comparison of reproducibility, accuracy, sensitivity, and specificity of miRNA quantification platforms

Given the increasing interest in their use as disease biomarkers, the establishment of reproducible, accurate, sensitive, and specific platforms for microRNA (miRNA) quantification in biofluids is of high priority. We compare four platforms for these characteristics: small RNA sequencing (RNA-seq), FirePlex, EdgeSeq, and nCounter. For a pool of synthetic miRNAs, coefficients of variation for technical replicates are lower for EdgeSeq (6.9%) and RNA-seq (8.2%) than for FirePlex (22.4%); nCounter replicates are not performed. Receiver operating characteristic analysis for distinguishing present versus absent miRNAs shows small RNA-seq (area under curve 0.99) is superior to EdgeSeq (0.97), nCounter (0.94), and FirePlex (0.81). Expected differences in expression of placenta-associated miRNAs in plasma from pregnant and non-pregnant women are observed with RNA-seq and EdgeSeq, but not FirePlex or nCounter. These results indicate that differences in performance among miRNA profiling platforms impact ability to detect biological differences among samples and thus their relative utility for research and clinical use

The importance of stem cell engineering in head and neck oncology

Head and neck squamous cell carcinoma is the sixth leading cause of cancer worldwide. The most common risk factors are carcinogens (tobacco, alcohol), and infection of the human papilloma virus. Surgery is still considered as the treatment of choice in case of head and neck cancer, followed by a reconstructive surgery to enhance the quality of life in the patients. However, the widespread use of artificial implants does not provide appropriate physiological activities and often cannot act as a long-term solution for the patients. Here we review the applicability of multiple stem cell types for tissue engineering of cartilage, trachea, vocal folds and nerves for head and neck injuries. The ability of the cells to self-renew and maintain their pluripotency state makes them an attractive tool in tissue engineering

Large Differences in Small RNA Composition Between Human Biofluids.

Extracellular microRNAs (miRNAs) and other small RNAs are implicated in cellular communication and may be useful as disease biomarkers. We systematically compared small RNAs in 12 human biofluid types using RNA sequencing (RNA-seq). miRNAs and tRNA-derived RNAs (tDRs) accounted for the majority of mapped reads in all biofluids, but the ratio of miRNA to tDR reads varied from 72 in plasma to 0.004 in bile. miRNA levels were highly correlated across all biofluids, but levels of some miRNAs differed markedly between biofluids. tDR populations differed extensively between biofluids. Y RNA fragments were seen in all biofluids and accounted for >10% of reads in blood plasma, serum, and cerebrospinal fluid (CSF). Reads mapping exclusively to Piwi-interacting RNAs (piRNAs) were very rare, except in seminal plasma. These results demonstrate extensive differences in small RNAs between human biofluids and provide a useful resource for investigating extracellular RNA biology and developing biomarkers