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RISS 인기검색어
- 검색키워드
- 저자 : SUDDUTH, Kenneth A. (검색결과 35 건)
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Surgical Management of Pachyonychia Congenita in a 3-Year-Old
Sudduth Jack D.,Clinker Christopher,Holdaway Matthew,Marquez Jessica L.,Veith Jacob,Wright Thomas,Rockwell W. Bradford 대한성형외과학회 2023 Archives of Plastic Surgery Vol.50 No.6
Pachyonychia congenita is a rare genetic disorder characterized by hypertrophic nail plates, hyperkeratotic nail beds, and thickened hyponychium of the fingers and toes, impairing manual dexterity and resulting in poor aesthetics. The current body of literature describes various treatment modalities, but no singular approach has been defined as the gold standard. In this case, the authors employed different surgical techniques for treating pachyonychia congenita to evaluate the most effective approach. A 3-year-old boy presented with hypertrophic nail growth involving all digits of both hands and feet. Three surgical procedures were performed on the patient's fingers and toes using germinal matrix excision (GME) alone, GME plus partial sterile matrix excision (pSME), or GME plus complete sterile matrix excision (cSME). The digits treated with GME + cSME exhibited no recurrence of nail growth. Those treated with GME alone exhibited recurrence of hypertrophic nail growth, although their growth slowed. Excision of GME + cSME prevented recurrence of hypertrophic nails, while GME alone or with pSME led to slower-growing hypertrophic nails. Complete excision of the germinal and sterile matrices with skin graft closure may be a definitive treatment for pachyonychia congenita, but further studies are needed to validate these findings.
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Cho, Yongjin,Sudduth, Kenneth A.,Chung, Sun-Ok Elsevier 2016 Biosystems engineering Vol.152 No.-
<P>Proximal soil sensing is an attractive approach for quantifying soil properties, but many currently available sensors do not respond to a single soil property. For example, soil strength and apparent electrical conductivity (EC<SUB>a</SUB>) sensor measurements are significantly affected by soil texture, bulk density (BD), and water content (WC). The objective of this study was to explore the potential for estimating soil texture, BD, and WC using combinations of sensor-based soil strength and EC<SUB>a</SUB> data obtained from sites with varying soil physical properties. Data collected from three research sites in Missouri included on-the-go horizontal soil strength at five depths up to 0.5 m on a 0.1-m interval, cone index measurements at the same depths, EC<SUB>a</SUB> measured by a Veris 3100, and depth-dependent, laboratory-determined soil properties. An EC<SUB>a</SUB> model inversion approach was used to generate layer EC values corresponding to the depth increments of the other variables. Fits of models using EC to estimate WC were variable (R<SUP>2</SUP> = 0.31–0.79). Best fitting BD estimation models (R<SUP>2</SUP> = 0.11–0.55) generally included EC, but soil strength was included in fewer than half of the models. BD model fits were improved considerably by adding lab-measured WC to the model (R<SUP>2</SUP> = 0.30–0.86), suggesting the need for a WC sensor. Soil clay texture fraction models based on EC and WC fit well (R<SUP>2</SUP> = 0.80–0.93). This study showed the potential of combining data from multiple mobile proximal sensors to estimate important soil physical properties.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Soil physical properties were estimated from soil sensor measurements. </LI> <LI> Properties examined were water content (WC), bulk density, and clay fraction. </LI> <LI> Best WC estimates used both soil strength and apparent electrical conductivity (EC<SUB>a</SUB>). </LI> <LI> Best bulk density estimates included lab-measured water content in the model. </LI> <LI> Clay texture fraction was well-estimated at most measurement depths by EC<SUB>a</SUB>. </LI> </UL> </P>
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Development of User Terminal Software for Korean Grain Yield Monitoring Systems
Lee Kyu-Ho,정선옥,Sudduth Kenneth A. 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.3
Purpose In yield monitoring systems, user terminal software plays a role in collecting harvest data and creating yield maps. The software developed in this study was made specifically for Korean grain yield monitoring systems. Methods The main functions of the software were based on commercial yield monitoring software, but modified for Korean systems. In order to demonstrate accuracy and performance of the yield monitoring system, we conducted indoor and field tests. Through the indoor test, we demonstrated functions of the software such as automatic position filter and delay time filter with yield data collected in the USA and the Republic of Korea. To prove the accuracy of the software in yield estimation, six field tests were conducted, three at 1.5 m/s, and the other three at 1.7 m/s. Software results were compared to manual weight and moisture content measurements collected from the grain tank. Results In the indoor test, the automatic position filter removed unideal position data (1.92%) and average accuracy of the sensors after applying the calibration function was 91%. After applying the delay time function, yield maps became more coherent in spatial yield patterns. Through the field test, the error rate of yield and moisture content were 4.24 and 2.51%, respectively. Conclusions The user terminal software developed in this study has potential for use in Korean grain yield monitoring systems, but should be improved to better consider the Korean harvesting environment.
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Spatial Variability of Soil Properties using Nested Variograms at Multiple Scales
Chung, Sun-Ok,Sudduth, Kenneth A.,Drummond, Scott T.,Kitchen, Newell R. Korean Society for Agricultural Machinery 2014 바이오시스템공학 Vol.39 No.4
Purpose: Determining the spatial structure of data is important in understanding within-field variability for site-specific crop management. An understanding of the spatial structures present in the data may help illuminate interrelationships that are important in subsequent explanatory analyses, especially when site variables are correlated or are a combined response to multiple causative factors. Methods: In this study, correlation, principal component analysis, and single and nested variogram models were applied to soil electrical conductivity and chemical property data of two fields in central Missouri, USA. Results: Some variables that were highly correlated, or were strongly expressed in the same principal component, exhibited similar spatial ranges when fitted with a single variogram model. However, single variogram results were dependent on the active lag distance used, with short distances (30 m) required to fit short-range variability. Longer active lag distances only revealed long-range spatial components. Nested models generally yielded a better fit than single models for sensor-based conductivity data, where multiple scales of spatial structure were apparent. Gaussian-spherical nested models fit well to the data at both short (30 m) and long (300 m) active lag distances, generally capturing both short-range and long-range spatial components. As soil conductivity relates strongly to profile texture, we hypothesize that the short-range components may relate to the scale of erosion processes, while the long-range components are indicative of the scale of landscape morphology. Conclusion: In this study, we investigated the effect of changing active lag distance on the calculation of the range parameter. Future work investigating scale effects on other variogram parameters, including nugget and sill variances, may lead to better model selection and interpretation. Once this is achieved, separation of nested spatial components by factorial kriging may help to better define the correlations existing between spatial datasets.
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Chung S. O.,Sudduth Kenneth A. Korean Society for Agricultural Machinery 2004 Agricultural and Biosystems Engineering Vol.5 No.1
Precision agriculture aims to minimize costs and environmental damage caused by agriculture and to maximize crop yield and profitability, based on information collected at within-field locations. In this process, quantification of soil physical properties, including soil strength, would be useful. To quantify and manage variability in soil strength, there is need for a strength sensor that can take measurements continuously while traveling across the field. In this paper, preliminary analyses were conducted using two datasets available with current technology, (1) cone penetrometer readings collected at different compaction levels and for different soil textures and (2) tillage draft (TD) collected from an entire field. The objective was to provide information useful for design of an on-the-go soil strength profile sensor and for interpretation of sensor test results. Analysis of cone index (CI) profiles led to the selection of a 0.5-m design sensing depth, 10-MPa maximum expected soil strength, and 0.1-MPa sensing resolution. Compaction level, depth, texture, and water content of the soil all affected CI. The effects of these interacting factors on data obtained with the soil strength sensor should be investigated through experiments. Spatial analyses of CI and TD indicated that the on-the-go soil strength sensor should acquire high spatial-resolution, high-frequency ($\ge$ 4 Hz) measurements to capture within-field spatial variability.
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On-the-go Soil Strength Profile Sensor to Quantify Spatial and Vertical Variations in Soil Strength
Chung, Sun-Ok,Sudduth, Kenneth A. Korean Society for Agricultural Machinery 2005 Agricultural and Biosystems Engineering Vol.6 No.2
Because soil compaction is a concern in crop production and environmental pollution, quantification and management of spatial and vertical variability in soil compaction for soil strength) would be a useful aspect of site -specific field management. In this paper, a soil strength profile sensor (SSPS) that could take measurements continuously while traveling across the field was developed and the performance was evaluated through laboratory and field tests. The SSPS obtained data simultaneously at 5 evenly spaced depths up to 50 em using an array of load cells, each of which was interfaced with a soil-cutting tip. Means of soil strength measurements collected in adjacent, parallel transects were not significantly different, confirming the repeatability of soil strength sensing with the SSPS. Maps created with sensor data showed spatial and vertical variability in soil strength. Depth to the restrictive layer was different for different field locations, and only 5 to 16% of the tested field areas were highly compacted.
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Disposable Nitrate-Selective Optical Sensor Based on Fluorescent Dye
Kim, Gi-Young,Sudduth, Kenneth A.,Grant, Sheila A.,Kitchen, Newell R. Korean Society for Agricultural Machinery 2012 바이오시스템공학 Vol.37 No.3
Purpose: This study was performed to develop a simple, disposable thin-film optical nitrate sensor. Methods: The sensor was fabricated by applying a nitrate-selective polymer membrane on the surface of a thin polyester film. The membrane was composed of polyvinylchloride (PVC), plasticizer, fluorescent dye, and nitrate-selective ionophore. Fluorescence intensity of the sensor increased on contact with a nitrate solution. The fluorescence response of the optical nitrate sensor was measured with a commercial fluorospectrometer. Results: The optical sensor exhibited linear response over four concentration decades. Conclusions: Nitrate ion concentrations in plant nutrient solutions can be determined by direct optical measurements without any conditioning before measurements.
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