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An Experiment : Distribution of the Adversity Quotient as a Reduction of Bias in Estimating Earnings
Riza PRADITHA(Riza PRADITHA ),Lasty AGUSTUTY(Lasty AGUSTUTY ),Robert JAO(Robert JAO ),Andi RUSLAN(Andi RUSLAN ),Nur AISYAH(Nur AISYAH ),Diah Ayu GUSTININGSIH(Diah Ayu GUSTININGSIH ) 한국유통과학회 2023 유통과학연구 Vol.21 No.6
Riza Atav,Aylin Yildiz,Derman Vatansever Bayramol,A. Ozgur Agirgan,Mine Aydin Kurc 한국섬유공학회 2019 Fibers and polymers Vol.20 No.10
In this study, inclusion complexes were prepared according to kneading and physical mixing techniques at 1:1 and1:2 (guest:host) mass ratios of silver cyclohexane mono carboxylate:β-cyclodextrin. Prepared complexes were analyzed byusing fourier transformed infrared spectroscopy, thermogravimetric analyses and scanning electron microscope. With regardto the obtained results, inclusion complex formation was observed with silver cyclohexane mono carboxylate and β-cyclodextrin at a mass ratio of both 1:1 and 1:2. In addition to preparation and characterization of inclusion complexes, theywere applied on cotton fabrics via pad-dry method. In order to investigate the wash resistance of antibacterial effect, inclusioncomplex containing cotton fabrics were repeatedly washed and tested up to 50 washes. It was determined that cotton fabricsloaded with Ag-CC:β-CD 1:2 inclusion complexes showed antimicrobial efficiency against S. aureus, B. subtilis and P. aeruginosa even after 50 washings.
Predicting diagonal cracking strength of RC slender beams without stirrups using ANNs
Riza S.O. Keskin,Guray Arslana 사단법인 한국계산역학회 2013 Computers and Concrete, An International Journal Vol.12 No.5
Numerous studies have been conducted to understand the shear behavior of reinforced concrete (RC) beams since it is a complex phenomenon. The diagonal cracking strength of a RC beam is critical since it is essential for determining the minimum amount of stirrups and the contribution of concrete to the shear strength of the beam. Most of the existing equations predicting the diagonal cracking strength of RC beams are based on experimental data. A powerful computational tool for analyzing experimental data is an artificial neural network (ANN). Its advantage over conventional methods for empirical modeling is that it does not require any functional form and it can be easily updated whenever additional data is available. An ANN model was developed for predicting the diagonal cracking strength of RC slender beams without stirrups. It is shown that the performance of the ANN model over the experimental data considered in this study is better than the performances of six design code equations and twelve equations proposed by various researchers. In addition, a parametric study was conducted to study the effects of various parameters on the diagonal cracking strength of RC slender beams without stirrups upon verifying the model.
IMPACT OF THE VILLAGE FUND PROGRAM ON POVERTY ALLEVIATION IN INDONESIA
Riza Andina,김정호 경희대학교(국제캠퍼스) 국제지역연구원 2023 아태연구 Vol.30 No.1
High poverty incidence and stagnant decrease in poverty rates have always been a big challenge for developing countries. To address this issue, the Government of Indonesia made a breakthrough by implementing a program called Village Fund Transfer in 2015. The government is committed to enhancing its economy and development, especially in the rural and outermost regions, by granting funds and authority to each of over seventy thousand villages in Indonesia. This study explores the causal effect of the Village Fund Program on poverty alleviation in Indonesia using an Impact Evaluation approach by applying the Difference-in-Difference Event Study Framework. Due to data limitation, the study uses approximately 500 district-level data and compares the poverty rates of districts receiving the program funds and those not receiving the program funds between 2011 and 2021. By employing this identification strategy, this study is able to provide more robust estimates of the program’s impact and its dynamic variation yet is unable to consider the intensity variations within the recipient districts. In addition, the observed districts were divided into three groups based on their geographical conditions using a Construction Cost Index. The empirical results on all districts data found a significant impact of the Village Fund Program on reducing poverty four years after the program’s inception in 2015. A significant impact was also seen starting in 2017 for districts with low geographical disadvantage, and from 2018 for districts with intermediate geographical disadvantage. However, the study also revealed that this program has no significant impact in highly geographically disadvantaged districts. This emphasizes the importance of initial geographical and infrastructure conditions. Therefore, it is argued that the highly geographically disadvantaged regions should prioritize their village fund on infrastructure development rather than community empowerment programs.
Predicting shear strength of SFRC slender beams without stirrups using an ANN model
Riza S.O. Keskin 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.61 No.5
Shear failure of reinforced concrete (RC) beams is a major concern for structural engineers. It has been shown through various studies that the shear strength and ductility of RC beams can be improved by adding steel fibers to the concrete. An accurate model predicting the shear strength of steel fiber reinforced concrete (SFRC) beams will help SFRC to become widely used. An artificial neural network (ANN) model consisting of an input layer, a hidden layer of six neurons and an output layer was developed to predict the shear strength of SFRC slender beams without stirrups, where the input parameters are concrete compressive strength, tensile reinforcement ratio, shear span-to-depth ratio, effective depth, volume fraction of fibers, aspect ratio of fibers and fiber bond factor, and the output is an estimate of shear strength. It is shown that the model is superior to fourteen equations proposed by various researchers in predicting the shear strength of SFRC beams considered in this study and it is verified through a parametric study that the model has a good generalization capability.
Ali Riza Gezici,Ruçhan Ergun 대한의학회 2010 Journal of Korean medical science Vol.25 No.1
Despite advances in neuroimaging and neurosurgical treatment modalities, spinal epidural abscess remains a challenging problem. Early diagnosis is often difficult and treatment is always delayed. Spinal epidural abscess usually develops in patients with predisposing factors such as IV drug abuse, senillity, diabetes mellitus, spinal attempts, alcoholism, immunosuppression, liver diseases and catheterizations. It is rarely seen in cervical region. A successful treatment is only possible with early diagnosis and accurate surgical and medical treatment. Optimal management is unclear and morbidity and mortality are significant. We present two adult haemodialysis patients with end-stage renal insufficiency who developed cervical epidural abscess following central venous catheter placement. Early surgical intervention is mandatory in cases those have progressive neurological deficit and spinal deformity,and this is also increases the success rate of medical therapy.
The effect of repeated porcelain firings on corrosion resistance of different dental alloys
Ali Riza Tuncdemir,Ismail Karahan,Serdar Polat,Meral Arslan Malkoc,Mehmet Dalkiz 대한치과보철학회 2013 The Journal of Advanced Prosthodontics Vol.5 No.1
PURPOSE. The aim of this study was to evaluate the effects of repeated porcelain firing process on the corrosion rates of the dental alloys. MATERIALS AND METHODS. Cr-Co, Cr-Ni and Pd-Ag alloys were used for this study. Each metal supported porcelain consisted of 30 specimens of 10 for 7, 9 and 11 firing each. Disc-shaped specimens 10 mm diameter and 3 mm thickness were formed by melting alloys with a propane-oxygen flame and casted with a centrifuge casting machine and then with the porcelain veneer fired onto the metal alloys. Corrosion tests were performed in quintuplicate for each alloy (after repeated porcelain firing) in Fusayama artificial saliva solution (pH = 5) in a low thermal-expansion borosilicate glass cell. Tamhane and Sheffe test was used to compare corrosion differences in the results after repeated firings and among 7, 9 and 11 firing for each alloy. The probability level for statistical significance was set at α=0.05. RESULTS. The corrosion resistance was higher (30 mV), in case of 7 times firing (Commercial). On the other hand, it was lower in case of 11 times firing (5 mV) (P<.05). Conclusion. Repeated firings decreased corrosion resistance of Pd-Ag, Cr-Co and Cr-Ni alloys. The Pd-Ag alloy exhibited little corrosion in in vitro tests. The Cr-Ni alloy exhibited higher corrosion resistance than Cr-Co alloys in in vitro tests.
Yudhika, Riza Teddy,유태환,배성일 경성대학교 산업개발연구소 2019 산업혁신연구 Vol.35 No.4
This study analyzes the effects of trade liberalization on economic growth under the assumption that the effects occur both instantly and persistently for a certain period of time. Therefore, this study differentiates between the static and cumulative effects of tariff reductions. In particular, it examines the effects of tariff reductions on the manufacturing sector using industrial level data for 39 sub-industries in Indonesia. Also, Indonesia is chosen for this study because Indonesia has become one of the most important trading partners for Korea. The empirical results show that tariff reductions do not only affect manufacturing sector production for a single year, but they also persistently affect production for the next three years. That is, a 1% tariff reduction increases the manufacturing sector value-added by 0.22%. In addition, the static and cumulative effects of a 1% tariff reduction on manufacturing sector productivity are 0.22% and 0.29%, respectively. The estimated results indicate that the effects of a tariff reduction do not disappear immediately; rather, they continuously influence the economy for a certain period of time.