Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition.

Crop evapotranspiration is essential for planning and designing an efficient irrigation system. The present investigation assessed the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBoost Linear), XGBoost Ensemble Tree, Polynomial Regression (Polynomial Regr), and Isotonic Regression (Isotonic Regr) in modeling daily reference evapotranspiration (ETo) at IARI, New Delhi. The models were developed considering full and limited dataset scenarios. The efficacy of the constructed models was assessed against the Penman-Monteith (PM56) model estimated daily ETo. Results revealed the under full and limited dataset conditions, XGBoost Ensemble Tree gave the best results for daily ETo modeling during the model training period, while in the testing period under scenarios S1(Tmax) and S2 (Tmax, and Tmin), the Isotonic Regr models yielded superior results over other models. In addition, the XGBoost Ensemble Tree models outperformed others for the rest of the input data scenarios. The XGBoost Ensemble Tree algorithms reported the best values of correlation coefficient (r), mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE). Thus, we recommend applying the XGBoost Ensemble Tree algorithm for precisely modeling daily ETo in semi-arid climatic conditions.

Evaluation of YouTube Videos as a Source of Patient Information for Ureteric Stent Placement: A Quality Assessment Study.

OBJECTIVE: To assess the quality of YouTube videos on ureteric stent placement (USP) as a source of patient available. METHODS: YouTube was searched using search terms "DJ stenting," "Double J stenting," and "ureteric stenting." The initial 100 videos displayed with each of the above mentioned search terms were scrutinized. The selected videos reviewed by 3 independent consultant urologists against a pre-agreed scoring system based upon European Association of Urology (EAU) patient information sheet on ureteric stent placement. The videos were scored qualitatively and quantitatively based on the scores achieved in various domains of the scoring Performa. Data was also collected for the number of views, likes, dislikes, and time duration of each video. RESULTS: A total of 22 videos which fulfilled the inclusion criteria were reviewed. All the videos were uploaded by healthcare organizations or healthcare websites. None of the videos were classified as "Good" based on reviewer scores and only one video was classified as "acceptable." Fourteen videos were classified as "very poor" with a score of <5/20. General information about stents was described by majority of the studies whilst preoperative information, procedure description, danger signs, and follow up were scarcely described by most videos. CONCLUSION: Majority of YouTube videos on USP are of poor overall quality and lack pertinent information. This calls for creation of comprehensive and unbiased videos for patient information on USP.

International and Multi-institutional Assessment of Factors Associated With Performance and Quality of Lymph Node Dissection During Radical Nephrectomy.

OBJECTIVE: To determine factors associated with performance and quality of lymph node dissection during radical nephrectomy. MATERIALS AND METHODS: Using an International Data Registry, we performed multilevel logistic regression to determine the association of surgical approach (open surgery vs minimally invasive surgery), institutional experience (low, moderate, and high tertiles), and institutional preference (minimally invasive surgery, balanced, and open surgery tertiles) with the performance of lymph node dissection in subgroups by clinical stage and nodal status. RESULTS: Among 1,742 patients undergoing radical nephrectomy, 312 (18%) underwent lymph node dissection, which was associated with stage (28% for ≥cT2 vs 9.3% for cT1), and nodal status (68% for ≥cN1 vs 13% for cN0). Open surgery was significantly associated with performing lymph node dissection in all subgroups. Institutional experience and institutional preference had no association with performing lymph node dissection in the ≥cN1 group. The number of nodes removed was greater for open surgery (mean 5.9) vs minimally invasive surgery (mean 3.4); this held true even when stratified by stage and nodal status. CONCLUSION: In this large dataset, open surgical radical nephrectomy is associated with more frequent performance and higher quality of lymph node dissection, which may owe to selection bias but also could reflect technical concerns. In the patient population in whom lymph node dissection is recommended (≥cN1), this is not explained by institutional experience or preference. Lymph node dissection may be under-utilized for ≥cN1 disease and over-utilized for cN0 disease, at least according to practice guidelines.

Evaluation of low-dose dual energy computed tomography for in vivo assessment of renal/ureteric calculus composition.

PURPOSE: This study aimed to assess the accuracy of low-dose dual-energy computed tomography (DECT) in predicting the composition of urinary calculi. MATERIALS AND METHODS: A total of 52 patients with urinary calculi were scanned with a 128-slice dual-source DECT scanner by use of a low-dose protocol. Dual-energy (DE) ratio, weighted average Hounsfield unit (HU) of calculi, radiation dose, and image noise levels were recorded. Two radiologists independently rated study quality. Stone composition was assessed after extraction by Fourier transform infrared spectroscopy (FTIRS). Analysis of variance was used to determine if the differences in HU values and DE ratios between the various calculus groups were significant. Threshold cutoff values to classify the calculi into separate groups were identified by receiver operating characteristic curve analysis. RESULTS: A total of 137 calculi were detected. FTIRS analysis differentiated the calculi into five groups: uric acid (n=17), struvite (n=3), calcium oxalate monohydrate and dihydrate (COM-COD, n=84), calcium oxalate monohydrate (COM, n=28), and carbonate apatite (n=5). The HU value could differentiate only uric acid calculi from calcified calculi (p<0.001). The DE ratio could confidently differentiate uric acid, struvite, calcium oxalate, and carbonate apatite calculi (p<0.001) with cutoff values of 1.12, 1.34, and 1.66, respectively, giving >80% sensitivity and specificity to differentiate them. The DE ratio could not differentiate COM from COM-COD calculi. No study was rated poor in quality by either of the observers. The mean radiation dose was 1.8 mSv. CONCLUSIONS: Low-dose DECT accurately predicts urinary calculus composition in vivo while simultaneously reducing radiation exposure without compromising study quality.

Fenton treatment of landfill leachate under different COD loading factors.

The application of Fenton treatment technology for treatment of landfill leachate greatly depends on the optimum Fenton operating conditions for a specific leachate. Determining optimum Fenton conditions requires multiple experiments using variable reaction parameters (pH, temperature, and H2O2 and Fe(2+) doses) and previous researches show a wide range of optimal operating conditions. In this study, the applicability of the dimensionless loading factor (LCOD), which is defined as the initial COD (COD0) of leachate with respect to available O2 for oxidation, was examined to derive optimum Fenton oxidant dose using reduced set of experiments. The Fenton experiments were conducted using leachates with three different COD0 concentrations, 1092, 546, and 273mgL(-1), LCOD in the range of 0.25-1.0, and H2O2/Fe(2+) 1.8 (w/w). The experimental data were analyzed to determine the correlation between the LCOD factor and selected feasibility parameters, amongst which were: (i) the COD removal kinetics, (ii) the total COD removal, (iii) the usability of H2O2 with respect to COD removal, (iv) leachate biodegradability, and (v) treatment cost incurred by chemical usage. The experimental COD removal with respect to the amount of O2 supplied by H2O2 was compared with respect to the optimum COD removal efficiency by the equation: η(FP(optimum)=0.733L(COD)-0.182 as developed by Singh and Tang (2013) and a LCOD of 0.75 was determined to be the optimum L(COD) for leachate treatment.