Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab.

In winter season, the burning of crop residues for ease of sowing the next crop, along with industrial emissions and vehicular pollution leads to settling of a thick layer of smog in northern part of India. Therefore, to understand the opinion of farmers regarding sustainable management of organic waste, the present study was conducted in Ludhiana district of Indian state of Punjab. An ex post facto research design was used and a total of 800 dairy farmers having significant crop area were selected randomly for the study, grouped equally as small and large dairy farmers. Results revealed that majority of farmers had a highly favourable opinion regarding organic waste management due to the fact that they were aware of the ill-effects of undesirable practices like crop residue burning. Further, to predict the farmers' opinion and the effect of independent variables on farmers' opinion, a multi-layer perceptron feed-forward deep neural network was developed with mean squared error of 0.036 and 0.137 for validation and training data sets respectively, marking a novel approach of analysing farmers' behaviour. The neural network highlighted that with increase in the magnitude of input variables, namely, education, experience in dairying, information source utilisation, knowledge regarding organic waste management, etc., the farmers' opinion regarding sustainable waste management increases. The study concluded with the impression that cognitive processes like education, information and knowledge play a significant role in forming the opinion of the farmers. Therefore, efforts focusing on enhancing cognition should be made for sustainable management of organic waste.

Epidemiology of Postoperative Complications After Esophagectomy: Implications for Management.

BACKGROUND: Despite advances in operative techniques and postoperative care, esophagectomy remains a morbid operation. Leveraging complication epidemiology and the correlation of these complications may improve rescue and refine early recovery pathways. METHODS: This study retrospectively reviewed all esophagectomies performed at a tertiary academic center from 2014 to 2021 and quantified the timing of the most common complications. Daily incidence values for index complications were calculated, and a covariance matrix was created to examine the correlation of the complications with each other. Study investigators performed a Cox proportional hazards analysis to clarify the association between early diagnosis of postoperative atrial fibrillation and pneumonia with subsequent anastomotic leak. RESULTS: The study analyzed 621 esophagectomies, with 580 (93.4%) cervical anastomoses and 474 (76%) patients experiencing complications. A total of 159 (25.6%) patients had postoperative atrial fibrillation, and 155 (25.0%) had an anastomotic leak. The median (interquartile range [IQR]) postoperative day of these complications was day 2 (IQR, days 2-3) and day 8 (IQR, days 7-11), respectively. Our covariance matrix found significant associations in the variance of the most common postoperative complications, including pneumonia, atrial fibrillation, anastomotic leak, and readmissions. Early postoperative atrial fibrillation (hazard ratio, 8.1; 95% CI, 5.65-11.65) and postoperative pneumonia (hazard ratio, 3.8; 95% CI, 1.98-7.38) were associated with anastomotic leak. CONCLUSIONS: Maintaining a high index of suspicion for early postoperative complications is crucial for rescuing patients after esophagectomy. Early postoperative pneumonia and atrial fibrillation may be sentinel complications for an anastomotic leak, and their occurrence may be used to prompt further clinical investigation. Early recovery protocols should consider the development of early complications into postoperative feeding and imaging algorithms.

Factors associated with Giardia infection in dogs in southern Ontario, Canada.

Information concerning risk factors associated with Giardia infection in dogs in southern Ontario, Canada, is currently lacking. This study therefore aimed to identify risk factors for Giardia infection in dogs that visit off-leash dog parks in southern Ontario. From May-November 2018, fecal samples were collected from 466 dogs in 12 off-leash dog parks in the Niagara and Hamilton regions of Ontario. A survey that asked questions pertaining to travel history (i.e., area of residence, locations and regions visited in the previous 6 months), basic medical history (i.e., spay/neuter status, veterinary visits, use of deworming medication), consumption of a raw diet, and the physical (i.e., age, sex, breed) and behavioral characteristics (i.e., off-leash activities, hunting activities) of each dog sampled was administered to the respective owner. All fecal samples were examined with the Giardia plate ELISA (IDEXX Laboratories) for parasite antigen. Multivariable logistic regression analyses were conducted on the survey data to investigate putative risk factors for Giardia infection. Overall, 11.8% (95% CI: 9.2-15.1%) of samples tested positive for Giardia antigen. Results from the multivariable logistic regression analyses identified an interaction between dog age and spay/neuter status that was significantly associated with Giardia infection. The odds of infection were greater in intact as compared to neutered adult dogs (OR: 3.6, 95% CI: 1.7-7.9, p = 0.001), and in neutered juvenile dogs as compared to neutered adults (OR: 5.2, 95% CI: 2.2-12.2, p < 0.001). The results provide veterinarians with evidence-based information for identifying dogs at greatest risk of Giardia infection in southern Ontario.