The present study to develop a process for extracting nitric acid and gold from aqua regia leach solution using TBP(tributyl phosphate) was conducted. The pure aqua regia was used to investigate the extractive behavior of nitric acid depending on the concentration of extractant, concentration ratio of nitric and hydrochloric acid. The extraction rate of nitric acid and gold from the gold bearing aqua regia was also examined. The theoretical extraction number was verified by counter current using the number of operations and the phase ratio obtained from McCabe-Thiele diagram. Stripping experiments were carried out for continuous recovery of nitric acid and gold in loaded organic. Considering the effect of extraction acid and gold, the simulation showed that greater than 99.9% extraction of $103.0mg{\cdot}L^{-1}$ gold and 98.0% of $151.2g{\cdot}L^{-1}$ nitric acid could be attained in a two and three-stage counter-current extraction at an O/A phase ratio of 1:0.85. Distilled water and sodium thiosulfate were used as the nitric acid and gold stripping solution. The stripping rates were 99.5% and 92.0%, respectively. The study revealed that the recovery of nitric acid and gold from gold bearing aqua regia was a plausible approach through simultaneous extraction and continuous stripping of nitric acid and gold.
Objective: In dryland areas of China, alfalfa hay (AH) is a possible substitute for concentrate feed for beef cattle. To evaluate the potential benefits of this substitution, we studied the effect of the ratio of AH intake to total dry matter (DM) intake on average daily body-weight gain (ADG), dietary energy utilization status, and economic benefit in Gansu province. Methods: In each of two feeding trials in 2016 (trial 1 [T1], July 3 to 17; trial 2 [T2], August 15 to September 23), crossbred male Simmental calves were allocated to low AH (LA), medium AH (MA), and high AH (HA) feeding groups (n = 4 per group). The target ADG was set as 1 kg for both trials. In a one-way-layout design based on conventional feeding practices in the province, calves received diets containing the different AH amounts, with a constant ratio of corn stover:total DM and decreasing rations of concentrate feed proportional to the increase in AH. Calves in T1 received AH at 15% (T1-LA), 23% (T1-MA), or 31% (T1-HA) of their dietary DM allowances; those in T2 received 9% (T2-LA), 24% (T2-MA), or 34% (T2-HA) AH. Results: Among the T1 groups, both ADG and economic benefit were highest in T1-LA; whereas in T2, they were higher in the T2-LA and T2-MA groups than in T2-HA. Energy digestibility did not significantly differ among the groups in either trial. The dietary AH inclusion ratios of 14% in the warm season and 8% to 21% in the cool season appeared to yield optimal ADG, metabolizable energy intake, and economic benefit. Conclusion: Low-level inclusion of AH, ranging from 8% to 21%, is a practical approach for beef cattle feeding. This modified feeding regimen likely will promote increased growth performance during the fattening stage of beef steers in dryland areas of Gansu province, China.
In this paper, we propose a real-time method of detecting hand motions and extracting the signal frame induced by EF(Electric Field) sensors. The signal induced by hand motion includes not only noises caused by various environmental sources as well as sensor's physical placement, but also different initial off-set conditions. Thus, it has been considered as a challenging problem to detect the motion signal and extract the motion frame automatically in real-time. In this study, we remove the PLN(Power Line Noise) using LPF with 10Hz cut-off and successively apply MA(Moving Average) filter to obtain clean and smooth input motion signals. To sense a hand motion, we use two thresholds(positive and negative thresholds) with offset value to detect a starting as well as an ending moment of the motion. Using this approach, we can achieve the correct motion detection rate over 98%. Once the final motion frame is determined, the motion signals are normalized to be used in next process of classification or recognition stage such as LSTN deep neural networks. Our experiment and analysis show that our proposed methods produce better than 98% performance in correct motion detection rate as well as in frame-matching rate.
This study was conducted to present implications for mathematics education by identifying the structural relationship among personality, negative emotion, motivation, and career maturity that affects elementary school student's mathematical academic achievement. The participants conveniently sampled 179 students, from 4th to 6th graders enrolled in the same elementary school, and data on their psychological variables were collected in the form of secondary data. The hypothetical structural equation model established based on prior studies was verified with a two-stage approach based on the collected data. It was confirmed that construct validity and construct reliability were secured through assessing the measurement model. In addition, as a result of analyzing the path coefficient of the final structural equation model, five paths were found to be significant: 'personality→motivation', 'personality→career maturity', 'negative emotion→motivation', and 'negative motivation→mathematical academic achievement'. In particular, the path of 'negative emotion→negative motivation→mathematics academic achievement' that can be confirmed through the results needs to moderate negative emotions to improve mathematical academic achievement, and at this time, negative motivation should be considered together.
"The certification of compliance of new products of industrial convergence" (hereinafter referred to as "certification of compliance") is a legal certification system in accordance with the Industrial Convergence Promotion Act through which a convergence new product can be officially certified without legislation when the certification standards applicable to the product are not yet provided. Unlike other certification systems, the certification of compliance is characterized by the role of resolving the certification difficulties driven by the regulatory lag of convergence new products. Nevertheless, studies that analyzed the certification of compliance in detail from the viewpoint of regulatory improvement were surprisingly rare. Through the sequential matching of the steps of certification of compliance with the process from the occurrence of a regulatory problem to resolution, our study provided clear understanding as to how the regulatory lag could be reduced by the procedure for certification of compliance. Furthermore, we divided the perspective on regulatory lag management into quantitative and qualitative, and the structures and practices of certification of compliance were then analyzed from the two perspectives. By doing this, the present study emphasized that the fundamental reason the certification of compliance could effectively solve the regulatory lag problem of convergence new products was not only the quantitative elements such as legal deadlines for each step but also several qualitative approaches to securing the quality of every stage.
Don Mah;Juan D. Manrique;Haitao Yu;Mohamed Al-Hussein;Reza Nasseri
International conference on construction engineering and project management
/
2009.05a
/
pp.525-536
/
2009
The current residential process adheres to a traditional method of construction involving wood framing on-site on poured concrete foundations which has been widely applied in North America. A conventional residential construction process can include seventeen distinct stages ranging from stake-out to pre-occupancy inspection. The current practice possesses short comings including high construction material wastes, long scheduling timelines, adverse weather conditions, poor quality, low efficiencies and negative environmental impacts from transportation and equipment use. Over CAN $5 billion dollars was spent in the construction sector during 2007 in Canada. Previous findings in CO2 emissions during the construction process of a conventional dwelling emphasize more than 45 tonnes of CO2 emissions. Hence, in Alberta alone during 2007, almost 50,000 residential units would release more than two million tonnes of CO2. These numbers demonstrate the economical and environmental impact in building construction and its relationship with CO2 emissions. The aim of this paper is to quantify the CO2 emissions from the current residential construction process in order to establish the baseline for CO2 emission reduction opportunities. The quantification collection methodology will be approached by identifying the seventeen various stages of construction and quantifying the contributions of CO2 from specific activities and their impacts of work for each stage. The approach of separating these into separate stages for collection will allow for independent opportunities for analysis from various independent contractors from the entire scope of work. The use of BIM will be implemented to efficiently quantify CO2 emissions. Based on the CO2 quantification baseline, emission reduction opportunities such as an industrialized construction process will be introduced that allows homebuilders to reduce the environmental and economical impact of home construction while enabling them to produce higher quality, more energy efficient homes in a safer and shorter period of time.
This study aims to assess the direct and indirect impacts of local fiscal expenditures on water quality. Panel data spanning from 2010 to 2018 for 173 cities and districts in Korea are assembled, and a two-stage dynamic panel model is utilized for our estimation. The empirical findings reveal several key insights. Firstly, local fiscal expenditures on water quality are effective in ameliorating both Biological Oxygen Demand (BOD) and Total Phosphorus (T-P). Notably, the direct impact on T-P surpasses that on BOD in the short and long run. Secondly, expenditures dedicated to water quality improvement demonstrate a positive effect on local economic growth, and an inverted U-shaped relationship is observed between BOD and local economic growth. Due to the positive linkage, the indirect effect on BOD suggests, on average, a deterioration in water quality during local economic growth. Thirdly, concerning BOD, the direct effect of government expenditure on water quality improvement outweighs the indirect effect, but in the case of T-P, the indirect effect is not significant, and the total effect is solely determined by the direct impact. Despite local fiscal expenditures potentially exacerbating water quality through regional economic growth, the study finds that the direct enhancement of water quality remains a more substantial factor in the short and long run.
This is to develop a new way of testing self-esteem by adopting DAP(Draw a Person) test and to make a platform to digitalize it for young people in the adolescent stage. This approach is to get high effectiveness of the self-esteem measurement using DAP test, including some personal inner situations which can be easily missed in the large statistical analysis. The other objective of this study is digitalize to recover limits of DAP test in the subjective rating standard. It is based on the distribution of the figure drawing expressed numerically by the anxiety index of Handler. For these two examinations, we made experiment through 4 stages with second grade middle school 73 students from July 30th to October 31th in 2009 during 4 months. Firstly, we executed 'Self Values Test' for all 73 people, and divided them into two groups; one is high self-esteem group of 36 people, the other is low self-esteem group of 37 people. Secondly, we regrouped them following D (Depression), Pd (Psychopathic Deviate), Sc (Schizophrenia) scales of MMPI; one is high self-esteem group of 7 people, the other is low self-esteem group of 13 people. Thirdly, we conducted DAP test separately for these 20 people. We intended to verify necessity and appropriateness of direction of 'Digitalizing Measurement System' by comparing and analyzing relation between DAP and Self-esteem following evaluation criteria which has similarity in 3 tests, after executing DAP to reflect peculiarity of adolescents sufficiently. We compared and analyzed result abstracted by sampling DAP test of two groups; One is high self-esteem group of 2 people, the other is low self-esteem group of 2 people; to confirm whether we can improve limitation that original psychological testing has by comparing mutual reliance of measurement test. Finally, with DAP test gained from correlations between self-esteem and melancholia following as above-mentioned steps, we discovered possibility of realization to get a concrete and individual criteria of evaluation based on Expert System as a way of enhancing accessibility in quantitative manner. 'Digitalizing Measurement Program' of DAP test suggested in this study promote results' reliability based on existing tests and measurement.
Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.
Cho Jae Ho;Lim Jihoon;Seong Jinsil;Pyo Hong Ryull;Koom Woong Soup;Suh Chang Ok;Hong Sung Jun
Radiation Oncology Journal
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v.19
no.4
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pp.359-368
/
2001
Purpose : To determine the long-term results of bladder-preserving approach by transurethral resection of the bladder (TURB), systemic chemotherapy, and radiation therapy for muscle-invasive bladder cancer Methods and materiaals : From 1991 Jan. through 1994 Dec., 25 patients with muscle invading clinical stage T2 to T4NxM0 bladder cancer were treated with induction by maximal TURB and (arm 1, n=4) three cycles of chemotherapy [MVAC(methotrexate, vincristine, adriamycin, ciplatin)] followed by 64.8 Gy of radiation with concomitant cisplatin, or two cycles of chemotherapy [MCV (methotrexate, ciplatin, vincristine)] after irradiation with concomitant cisplatin (arm 2, n=14), or concurrent chemoradiation only (arm 3, n=7). Tumor response was scored as a clinical complete response (CR) when the cystoscopic tumor-site biopsy and urine cytology results were negative. Those with less than a CR underwent cystectomy. The median follow-up of all patients was 70 months. Resulst : Most treatment toxicities were mild to moderate. Grade 3 acute hematologic toxicity and chronic cystitis were observed in only 1 and 2 patients, respectively. Overall 5 year survival was $67.3\%$. Complete remission rate was $80\%$ (20/25). Sixty-three percent of all survivors retained their bladders. In multivariate analysis, prognostic factors that significantly affect survival were T-stage (p=0.013) and Complete remission (p=0.002). Conclusion : Combined modality therapy with TURB, chemotherapy, and radiation has a $67.3\%$ overall 5 year survival rate. This result is similar to cystectomy-based studies for patients of similar clinical stages.
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