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Application of the Distribution Law to Soil-Pesticide Systems
신영오,존H. 베이커,Shin, Young Oh,Baker, John H. 한국토양비료학회 1974 한국토양비료학회지 Vol.7 No.1
농약(農藥)이 토양(土壤)에 흡착(吸着)되는 현상(現象)을 이론적(理論的)으로 구명(究明)하기 위(爲)해 물리화학(物理化學)에서 쓰여온 분배법칙(分配法則)을 적용(適用)하여 다음과 같은 결과(結果)를 얻었다. 1) 토양(土壤)에 흡착(吸着)되는 농약(農藥)의 양(量)은 토양수분(土壤水分) 함량(含量)과 역비례(逆比例) 관계(關係)에 있다. 2) 토양수분함량(土壤水分含量)이 같은 경우 농약(農藥)의 흡착량(吸着量)은 분배율(分配率)(Kd)과 비례(比例)한다. 3) 분배율(分配率)이 큰 토양(土壤)일수록 토양수분(土壤水分)이 흡착(吸着)에 미치는 영향(影響)이 적다. The application of the Distribution Law to soil-pesticide systems yielded the following empirical implications : 1) The amount of the pesticide adsorbed by a soil is negatively proportional to the soil water content. 2) At a given soil water content the amount adsorbed is proportional to the Kd of the soil. 3) The effect of soil water content on the amount of the pesticide adsorbed diminishes with increasing magnitude of the Kd.
Naik, H.,Kim, G. N.,Schwengner, R.,Kim, K.,Zaman, M.,Yang, S. C.,Shin, S. G.,Kye, Y. -U.,Massarczyk, R.,John, R.,Junghans, A.,Wagner, A.,Goswami, A.,Cho, M. -H. Springer-Verlag 2016 European Physical Journal A Vol.52 No.3
<P>The independent isomeric yield ratios of Zr-89g,Zr-m from the Zr-nat(,xn) reactions and those of Mo-91g,Mo- m and Nb-97g,Nb-m from the Mo-nat(,x) reactions with the bremsstrahlung end-point energy of 45-70 MeV were determined by an off-line -ray spectrometric technique using the 100 MeV electron linac at the Pohang Accelerator Laboratory, Korea. The isomeric yield ratios of Zr-89g,Zr-m and Nb-97g,Nb-m from the Zr-nat(, xn) and Mo-nat(,x) reactions at the bremsstrahlung end-point energy of 16MeV were also determined by the same technique using the 20MeV electron linac at Helmholtz-Zentrum Dresden-Rossendorf, Germany. The measured isomeric yield ratios of Zr-89g,Zr-m, Mo-91g,Mo-m, and Nb-97g,Nb-m were compared with literature data to examine the role of the Giant Dipole Resonance (GDR). The isomeric yield ratios of the Zr-89g,Zr-m, Mo-91g,Mo-m, and Nb-97g,Nb-m from the above reactions were also calculated by using the computer code TALYS 1.6 and compared with the experimental data to examine the validity of the theoretical model for independent isomeric yield ratio calculations.</P>
Predictive Analytics in Spine Oncology Research: First Steps, Limitations, and Future Directions
Elie Massaad,Nida Fatima,Muhamed Hadzipasic,Christopher Alvarez-Breckenridge,Ganesh M. Shankar,John H. Shin 대한척추신경외과학회 2019 Neurospine Vol.16 No.4
The potential of big data analytics to improve the quality of care for patients with spine tumors is significant. At this moment, the application of big data analytics to oncology and spine surgery is at a nascent stage. As such, efforts are underway to advance data-driven oncologic care, improve patient outcomes, and guide clinical decision making. This is both relevant and critical in the practice of spine oncology as clinical decision making is often made in isolation looking at select variables deemed relevant by the physician. With rapidly evolving therapeutics in surgery, radiation, interventional radiology, and oncology, there is a need to better develop decision-making algorithms utilizing the vast data available for each patient. The challenges and limitations inherent to big data analyses are presented with an eye towards future directions.
Alexander J. Kassicieh,Kavelin Rumalla,Aaron C. Segura,Syed Faraz Kazim,John Vellek,Meic H. Schmidt,Peter C. Shin,Christian A. Bowers 대한척추신경외과학회 2023 Neurospine Vol.20 No.1
Objective: The endoscopic spine surgery (ESS) approach is associated with high levels of patient satisfaction, shorter recovery time, and reduced complications. The present study reports multicenter, international data, comparing ESS and non-ESS approaches for singlelevel lumbar decompression, and proposes a frailty-driven predictive model for nonhome discharge (NHD) disposition. Methods: Cases of ESS and non-ESS lumbar spine decompression were queried from the American College of Surgeons National Surgical Quality Improvement Program database (2017–2020). Propensity score matching was performed on baseline characteristics frailty score (measured by risk analysis index [RAI] and modified frailty index-5 [mFI-5]). The primary outcome of interest was NHD disposition. A predictive model was built using logistic regression with RAI as the primary driver. Results: Single-level nonfusion spine lumbar decompression surgery was performed in 38,686 patients. Frailty, as measured by RAI, was a reliable predictor of NHD with excellent discriminatory accuracy in receiver operating characteristic (ROC) curve analysis: C-statistic: 0.80 (95% confidence interval [CI], 0.65–0.94) in ESS cohort, C-statistic: 0.75 (95% CI, 0.73–0.76) overall cohort. After propensity score matching, there was a reduction in total operative time (89 minutes vs. 103 minutes, p = 0.049) and hospital length of stay (LOS) (0.82 days vs. 1.37 days, p < 0.001) in patients treated endoscopically. In ROC curve analysis, the frailty-driven predictive model performed with excellent diagnostic accuracy for the primary outcome of NHD (C-statistic: 0.87; 95% CI, 0.85–0.88). Conclusion: After frailty-based propensity matching, ESS is associated with reduced operative time, shorter hospital LOS, and decreased NHD. The RAI frailty-driven model predicts NHD with excellent diagnostic accuracy and may be applied to preoperative decisionmaking with a user-friendly calculator: nsgyfrailtyoutcomeslab.shinyapps.io/lumbar_decompression_dischargedispo.