Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score.

Body condition score (BCS) is a common tool for indirectly estimating the mobilization of energy reserves in the fat and muscle of cattle that meets the requirements of animal welfare and precision livestock farming for the effective monitoring of individual animals. However, previous studies on automatic BCS systems have used manual scoring for data collection, and traditional image extraction methods have limited model performance accuracy. In addition, the radio frequency identification device system commonly used in ranching has the disadvantages of misreadings and damage to bovine bodies. Therefore, the aim of this research was to develop and validate an automatic system for identifying individuals and assessing BCS using a deep learning framework. This work developed a linear regression model of BCS using ultrasound backfat thickness to determine BCS for training sets and tested a system based on convolutional neural networks with 3 channels, including depth, gray, and phase congruency, to analyze the back images of 686 cows. After we performed an analysis of image model performance, online verification was used to evaluate the accuracy and precision of the system. The results showed that the selected linear regression model had a high coefficient of determination value (0.976), and the correlation coefficient between manual BCS and ultrasonic BCS was 0.94. Although the overall accuracy of the BCS estimations was high (0.45, 0.77, and 0.98 within 0, 0.25, and 0.5 unit, respectively), the validation for actual BCS ranging from 3.25 to 3.5 was weak (the F1 scores were only 0.6 and 0.57, respectively, within the 0.25-unit range). Overall, individual identification and BCS assessment performed well in the online measurement, with accuracies of 0.937 and 0.409, respectively. A system for individual identification and BCS assessment was developed, and a convolutional neural network using depth, gray, and phase congruency channels to interpret image features exhibited advantages for monitoring thin cows.

An example of aerosol pattern variability over bright surface using high resolution MODIS MAIAC: The eastern and western areas of the Dead Sea and environs.

The extreme rate of evaporation of the Dead Sea (DS) has serious implicatios for the surrounding area, including atmospheric conditions. This study analyzes the aerosol properties over the western and eastern parts of the DS during the year 2013, using MAIAC (Multi-Angle Implementation of Atmospheric Correction) for MODIS, which retrieves aerosol optical depth (AOD) data at a resolution of 1km. The main goal of the study is to evaluate MAIAC over the study area and determine, for the first time, the prevailing aerosol spatial patterns. First, the MAIAC-derived AOD data was compared with data from three nearby AERONET sites (Nes Ziona - an urban site, and Sede Boker and Masada - two arid sites), and with the conventional Dark Target (DT) and Deep Blue (DB) retrievals for the same days and locations, on a monthly basis throughout 2013. For the urban site, the correlation coefficient (r) for DT/DB products showed better performance than MAIAC (r=0.80, 0.75, and 0.64 respectively) year-round. However, in the arid zones, MAIAC showed better correspondence to AERONET sites than the conventional retrievals (r=0.58-0.60 and 0.48-0.50 respectively). We investigated the difference in AOD levels, and its variability, between the Dead Sea coasts on a seasonal basis and calculated monthly/seasonal AOD averages for presenting AOD patterns over arid zones. Thus, we demonstrated that aerosol concentrations show a strong preference for the western coast, particularly during the summer season. This preference, is most likely a result of local anthropogenic emissions combined with the typical seasonal synoptic conditions, the Mediterranean Sea breeze, and the region complex topography. Our results also indicate that a large industrial zone showed higher AOD levels compared to an adjacent reference-site, i.e., 13% during the winter season.

Thermal Behavior of Cd During Sludge Incineration: Experiments and Thermodynamic Equilibrium Model.

Experiments and thermodynamic equilibrium calculations were performed to investigate the behavior of Cd during sewage sludge incineration. The chemical equilibrium calculations indicated that chlorine significantly increased the volatilization of Cd in the form of CdCl2. In addition, SiO2-containing materials can function as sorbents for stabilizing Cd. The effect of PVC added to the sludge on the migration of Cd in the sludge was greater than that of NaCl. As the temperature increased, both organic and inorganic chlorides reduced the Cd distribution in the bottom ash. The chloride concentration, and the incineration time exhibited insignificant changes in Cd emission. With the addition of either NaCl or PVC into the sludge, the phases of Cd present in the bottom slag were primarily present in the form of silica-alumina oxides or multi-metal oxide, which could inhabit the Cd volatilization.

Novel heterotopic continental ileal reservoir based on the Mitrofanoff principle: a case report and review of the literature.

For patients undergoing radical cystectomy with standard lymphadenectomy for bladder cancer, appropriate urinary diversion (with a pouch and conduit) improves postoperative quality of life, reduces postoperative complications, and prolongs survival. We developed a novel heterotopic ileal reservoir to achieve these goals. This report describes the methodology involved and the incidence of intraoperative and postoperative complications. Three patients who underwent novel heterotopic ileal reservoir creation following radical cystectomy and standard lymphadenectomy (for bladder cancer) were evaluated. The ileum served as a pouch in which the ureters and appendix were implanted by extramural tunnelling. The appendix served as a conduit and pelvic reperitonealization was performed. Operative times, intraoperative blood loss, time to intestinal function recovery, incidence of intestinal obstruction and ureteric reflux, and bladder volumes and continence levels were evaluated. The surgical intervention was successful with operation times ranging 410-525 min, blood loss ranging 300-700 ml, and recovery time for intestinal function ranging 3-5 days. The postoperative hospitalization time was 11-15 days. Subileus occurred in patient B, who recovered after fasting and fluid replacement. Patients B and C achieved complete continence 6 weeks after surgery, while patient A experienced umbilical urine leakage with catheterization time intervals that exceeded 4 h. At 3 months after surgery, the bladder capacities of all patients ranged 250-370 ml. Follow-up cystography suggested the presence of bilateral ureteral reflux in patient A, with mild and moderate reflux on the left right sides, respectively. All patients achieved complete continence. Patients were followed for 3-9 months postoperatively; chest and abdominal computed tomography and cystography showed absence of hydronephrosis, recurrence, or distant metastasis during this period. The novel heterotopic continent ileal reservoir described in this study may be suitable for selected patients. The surgical procedure is safe when performed by well-trained and highly experienced urologists.