This study was conducted to investigate the physicochemical changes during the aerobic composting of swine manure mixed with bulking agent, sawdust(v/v, 1:1), in a full-scale composting plant using rectangular escalator-aginated bed composting system. Physical and chemical properties were analyzed on the samples which were collected at 5, 15, and 25 day of composting, curing and final step. The results of this study were summarized as follows; 1. Moisture and K2O content, and pH of final step were higher than those of 5th day of composting (p<0.05). 2. Ammonium nitrogen, total organic corbon and organic matter content, and electrical conductivity(EC) were significantly decreased (p<0.05) but nitrate nitrogen, ash and P2O5 content increased(p<0.05) throughout the aerobic composting process. 3. Total organic carbon per total nitrogen(C/N) and total organic matter per total nitrogen(OM/N) ratio were significantly decreased throughout the aerobic composting process(p<0.05). 4. Physical and chemical properties of swine manure were varied by aerobic fermentation using rectangular escalor-aginated bed composting system.
This paper describes a study of the effect of shield tunnel construction on the liners of nearby existing perpendicular tunnels. The research programme investigated the influence of tunnel proximity and alignment, liner stiffness on the nature of the interactions between closely spaced tunnels in clay. A total of two sets of carefully controlled 1g physical model tests, including the same test for repeatability, were performed. A cylindrical test tank was developed and used to produce clay samples of Speswhite kaolin. In each of the tests, three model tunnels were installed in order to conduct two interaction experiments in one clay sample. The tunnel liners were installed using a model tunnelling machine that was designed and developed to simulate the construction of a full scale shield tunnel. The first tunnel liner was instrumented to investigate its behaviour due to the installation of each of the new tunnels. The interaction mechanisms observed from the physical model tests are discussed and interpreted.
The objectives of this study were to understand the working stress of rural women and their coping strategies, and to provide basic data related with rural welfare policy. The data were obtained through 318 samples of rural women under sixty years old who work full-time at their farms with their husbands. The questionnaire employed Likert-type scale with four-point, and then the data were analyzed by statistical methods of frequency, percentage, mean score, analysis of variance, t-test and Duncan test through SAS program. The significance level was p < .05. The results of this study are as follows ; 1) The average stress level of rural women was over 2.9 points out of 4. 2) The stress level showed meaningful correlation with such variables as age, education, perception on economic status, and recognition by their husbands and other family members. The rural women who are over forty years old, below high school, disregarded from their family members were marked high stress level. 3) The level of rural women's stress coping strategies was quite as low as 1.95 out of 4. 4) The level of coping strategies showed meaningful correlation with such socio-demographic variables as age, perception on economic status and job satisfaction level. Those who aged over 40, perceives low economic staus, lives together with husbands'parents, and shows “average” job satisfaction scored significantly lower coping strategy levels. 5) The level of stress didn't indicate significant relation with the type of coping strategy.
Sets of nonlinear formulations together with an energy-based damage index (DI) are proposed to model the behavior and quantify the damage of the confined and unconfined concretes under monotonic and cyclic loading. The proposed formulations and DI can be employed in numerical simulations to determine the stresses and the damages to the fibers or the layers within the sections of reinforced concrete (RC) components. To verify the proposed formulations, an adaptive finite element computer program was generated to simulate the RC structures subjected to monotonic and cyclic loading. By comparing the simulated and the experimental test results, on both the full-scale structural members and concrete cylindrical samples, the proposed uniaxial behavior modeling formulations for confined and unconfined concretes under monotonic and cyclic loading, based on an iterative process, were accordingly adjusted, and then validated. The proposed formulations have strong mathematical structures and can readily be adapted to achieve a higher degree of precision by improving the relevant coefficients based on more precise tests. To apply the proposed DI, the stress-strain data of concrete elements is required. It can easily be calculated by using the proposed nonlinear constitutive laws for confined and unconfined concretes in this paper.
Due to the fact that blood gathering is not readily accepted by people, it has been difficult to make a full-scale study on zinc through blood analysis. For that reason, in this paper, a correlation of zinc contents in serum and hair was studied to find out whether only hair, which is relatively easy to collect, can be used for a measurement of zinc content. The subjects were 47 healthy female collegians selected at random whose average age was 22, mean height 159.1cm and average weight 49.7kg. The mean zinc value in serum of subjects was ${107.1}\pm{29.0}{\mu}g{/100ml}$, while the mean value in hair was ${150.2}\pm{42.7}ppm$. Correlation analysis shows that there was a significant correlation in zinc contents of serum and hair ( p<0.01). The results shows that measuring zinc level by using only hair samples would be satisfactory. But the use of hair sample for a measurement of zinc level has one demerit. That is, the method is more likely to be subjected to contamination because it makes more complicated procedures in sample preparation than the method of using blood sample.
Proceedings of the Korea Water Resources Association Conference
/
2022.05a
/
pp.152-152
/
2022
Only employing historical data limits the estimation of the full distribution of probable Tropical Cyclone (TC) risk due to the insufficiency of samples. Addressing this limitation, this study introduces a semi-physical TC rainfall model that produces spatially and temporally resolved TC rainfall data to improve TC risk assessments. The model combines a statistical-based track model based on the Markov renewal process to produce synthetic TC tracks, with a physics-based model that considers the interaction between TC and the atmospheric environment to estimate TC rainfall. The simulated data from the combined model are then fitted to a probability distribution function to compute the spatially heterogeneous risk brought by landfalling TCs. The methodology is employed in South Korea as a case study to be able to implement a country-scale-based vulnerability inspection from damaging TC impacts. Results show that the proposed model can produce TC tracks that do not only follow the spatial distribution of past TCs but also reveal new paths that could be utilized to consider events outside of what has been historically observed. The model is also found to be suitable for properly estimating the total rainfall induced by landfalling TCs across various points of interest within the study area. The simulated TC rainfall data enable us to reliably estimate extreme rainfall from higher return periods that are often overlooked when only the historical data is employed. In addition, the model can properly describe the distribution of rainfall extremes that show a heterogeneous pattern throughout the study area and that vary per return period. Overall, results show that the proposed approach can be a valuable tool in providing sufficient TC rainfall samples that could be an aid in improving TC risk assessment.
Journal of the Korean Society of Clothing and Textiles
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v.18
no.2
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pp.197-210
/
1994
The purpose of this study was to Investigate men's clothing in regard to (1) the effect of wearer's age and clothing: rues on impression formation, and (2) the effect of perceiver's age on impressions formed by the wearer's age and the fuction of clothing cues. The experimental design of this study was between-subjects 24_full factorial design by 4 independent variables. The subjects consisted of 192 subjects in each of two male perceiver groups according to age(20s and 50s). The experimental moterials developed for the study were a set of stimuli al)d a response scale. The stimuli consisted of 16 color photographs made by identical manipulations of 4 independent variables consisting of 2 levels each. Each one of the sixteen sub-samples included 12 subjects from 2 perceiver groups. The independent variables provided by the photographs were (1) wearer's age (20s and 50s), (2) suit color (navy blue and beige),' (3) suit style (single breasted and double breasted), and (4) necktie color (analogous and complementary colors) . The 7-point semantic differential response scale which was designed to measure the impression of the stimuli was composed of 30 bipolar adjectives. The responses to the semantic differential scales were analyzed using factor analysis and ANOVA. The results were as follows:1) Wearer's age, suit color, suit style, and necktie color had significant effects on impression of the 3 factors (appearance·potency, individuality activity, and evaluation) partiafly. However, the suit style was the most dominent clothing cue : the single breasted suit conveyed positive impression of individuality' activity to both of the wearer's age groups than double breasted suit did on both of the perceiver's age groups. 2) Perceiver's age partially influenced impressions formed by the age and the clothing cues of men clothed in suits : the young perceiver's group was less affected by them than middle aged group.
Shajihan, Shaik Althaf V.;Wang, Shuo;Zhai, Guanghao;Spencer, Billie F. Jr.
Smart Structures and Systems
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v.29
no.1
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pp.181-193
/
2022
Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.
Cheon, Sang Jin;Lee, Dong Ho;Park, Yong Geon;Son, Seung Min
Journal of the Korean Orthopaedic Association
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v.55
no.1
/
pp.38-45
/
2020
Purpose: To examine the clinical and structural outcomes of an at least two-year follow-up of arthroscopic full-thickness rotator cuff repairs with a single-row or suture-bridge technique in patients more than 65 years of age. Materials and Methods: Patients diagnosed with a full-thickness rotator cuff tear who were more than 65 years of age, underwent arthroscopic rotator cuff repair after at least six months of conservative treatment, agreed to take a follow-up magnetic resonance imaging (MRI) six months postoperatively, and visited outpatient for at least two years were enrolled in this study. Clinical evaluations were done using The University of California Los Angeles score, Constant Shoulder Score, and visual analogue scale evaluated two years after the surgery. The structural integrity was analyzed using follow-up MRI. During surgery, a suture-bridge technique was used if the rotator cuff tendon could cover half of the footprint under constant tension. Otherwise, single-row repair was performed. Results: The samples were 158 cases, consisting of 93 single-repairs and 65 suture-bridge repairs. A preoperative comparison of the age distribution, fatty degeneration of supraspinatus and infraspinatus muscle, medial retraction of torn cuff tendon, and tear size between the two groups were not significant. The clinical scores were improved significantly in all cases. The distribution of the structural integrity by Sugaya classification were 49 cases in type 1 (31.0%), 62 cases in type 2 (39.2%), 30 cases in type 3 (19.0%), 11 cases in type 4 (7.0%), and six cases in type 5 (3.8%). The re-tear rate of the single-row group was 9.7% (nine out of 93 cases) and 12.3% (eight out of 65 cases) for the suture-bridge group. Conclusion: Satisfactory clinical and radiological outcomes were achieved after arthroscopic full-thickness rotator cuff repair in patients more than 65 years of age. Both single-row and suture-bridge techniques would be beneficial for the elderly.
Objectives: We investigated differences between the tracheostomized and the non-tracheostomized stroke patients through microbiological analysis for the purpose of preliminary explorations of full-scale clinical research in the future. Methods: We collected tracheal aspirates samples from 5 stroke patients with tracheostomy and expectorated sputum samples from 5 stroke patients without tracheostomy. Genomic DNA from sputum samples was isolated using QIAamp DNA mini kit. The sequences were processed using Quantitative Insights into Microbial Ecology 1.9.0. Alpha-diversity was calculated using the Chao1 estimator. Beta-diversity was analyzed by UniFrac-based principal coordinates analysis (PCoA). To confirm taxa with different abundance among the groups, linear discriminant analysis effect size analysis was performed. Results: Although alpha-diversity value of the tracheostomized group was higher than that of the non-tracheostomized group, there was no statistically significant difference. In PCoA, clear separation was seen between clusters of the tracheostomized group and that of the non-tracheostomized group. In both groups, Bacteroidetes, Proteobacteria, Fusobacteria, Firmicutes, Actinobacteria were identified as dominant in phylum level. In particular, relative richness of Proteobacteria was found to be 31% more in the tracheotomized group (36.6%) than the non-tracheostomized group (5.6%)(P<0.05). In genus level, Neisseria (24%), Prevotella (17%), Streptococcus (13%), Fusobacteria (11%), Porphyromonas (7%) were identified as dominant in the tracheostomized group. In the non-tracheostomized group, Prevotella (38%), Veillonella (20%), Neisseria (9%) were genera that found to be dominant. Conclusions: It is meaningful in that the tracheostomized group has been identified a higher rate of microbiotas known as pathogenic in respiratory diseases compared to the non-tracheostomized group, confirming the possibility that the risk of opportunity infection may be higher.
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