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Study was conducted for six weeks on 240, day-old Cobb-430Y strain broiler chicks randomly assigned to four groups (60 chicks per group) containing three replicates. Group 'A' was Negative Control (NC) contained 3% low protein (LP) than Positive Control (PC) group 'B'. Group B contained normal protein (NP) [22.50, 21.00, and 19.50% CP for broiler pre-starter (BPS), starter (BS) and finisher (BF) phases, respectively] as per strain requirement. Group 'C' (NC+Gly1) was formed by adding 0.640, 0.810, and 0.630% L-Glycine in NC diet to arrive 2.30, 2.30, and 2.00% Digestible (Dig.) Gly + Ser levels, while group 'D' (NC+Gly2) was formed by adding 0.755, 0.985, and 0.740% L-Glycine in NC diet to arrive 2.40, 2.40, and 2.10% Dig. Gly + Ser levels in BPS, BS, and BF diets, respectively. Dig. Gly + Ser levels of NC group were 1.71, 1.56, and 1.43%; and of PC group were 2.02, 1.91, and 1.76%, respectively, for BPS, BS and BF diets. Ratio of Dig. Met, Thr, Trp, Arg, and Val. to Lys. were balanced (AA-balanced) in all diets. All diets were isocaloric (3010, 3100, and 3200 Kcal ME/kg feed for BPS, BS, and BF, respectively). Results showed that the L-Glycine supplementation in AA-balanced 3% LP diet significantly (p=0.05) improved overall BW, WG, and FCR in broilers. Dig. Gly + Ser levels of 2.30, 2.30, and 2.00% in AA-balanced 3% LP diets (0.640, 0.810, and 0.630% L-Glycine) in BPS, BS, and BF phases, respectively, were found to be cost-effective for improving BW, WG, and FCR with less feed intake. Study concludes that the L-Glycine is recommended to maintain Dig. Gly + Ser levels of 2.30, 2.30, and 2.00% in BPS, BS, and BF phases for cost-effective formulation with a reduction of 3% CP in a standard commercial broiler diet. [ABSTRACT FROM AUTHOR]

Land cover (LC) categorization is considered a necessary task of intelligent interpretation technology for remote sensing imagery that is intended to categorize every pixel to perform the predefined LC classification. Land Use and Land Cover (LULC) information has the ability to provide various insights in order to overcome environmental and socioeconomic impacts such as disaster risk, climate change, poverty, and food insecurity. Therefore, image categorization tasks are involved in conventional works, where the classical visual interpretation techniques completely depend upon professional knowledge as well as a professional’s classification experience, which is more susceptible to subjective awareness, inefficient, and time consuming. By overcoming this issue, the latest deep-structured approach is suggested to perform the LC image classification. Initially, the land images are gathered. Further, the collected images are employed for patch splitting, where the images are split into multiple patches. After splitting, the patches are fed to the Ensemble-based Convolutional Neural Network (ECNN), which is constructed with a Fully Convolutional Network (FCN), U-Net, DeepLabv3, and Mask Region-based Convolutional Neural Network (Mask R-CNN) for performing segmentation. Here, the hyperparameters are optimally tuned with the Hybrid Billiards-inspired Water Wave Algorithm (HB-WWA) by integrating the Billiards-inspired Optimization Algorithm (BOA) and Water Wave Algorithm (WWA). Finally, the classification is carried out with a fuzzy classifier. Thus, the performance is validated and measured through diverse metrics. Consequently, the developed work has demonstrated enhanced classification accuracy when tested on other existing algorithms. [ABSTRACT FROM AUTHOR]

Prior studies show visual (Cherenkov light) and olfactory sensations can occur while radiation to head, neck, and brain is on. However, few studies examine a wider range of sensations and compare sensations experienced between photon and proton radiation. The present IRB-approved study evaluates the relationship between radiation site, radiation type, and sensation experienced. We hypothesized that the rates and qualities of sensations vary to treatment site and radiation modality. Subjects were consentable English-speaking patients ≥ 18 years old. During their radiation course, they completed a survey regarding the presence and quality of sensations. Type and anatomic site of radiation (proton or photon) was collected from medical records. Radiation site was categorized as head, neck, brain (HNB), other radiation site (ORS, which included thorax, breast, abdomen, pelvis and extremity), or total body (TBI). Sensation was categorized as visual, olfactory, skin, or other. Linear regressions were used to determine the respective relationships between radiation site and type with sensation. Chi squared analyses assessed differences in incidences of sensations between groups of patients. 201 subjects participated, including 96 proton patients, 84 non-TBI photon patients, and 21 TBI patients. 41% of subjects reported ≥ 1 sensation, including 62% of HNB, 26% of TBI, and 60% of TBI. The HNB and TBI patients differed in the rates of visual sensations (45% vs 14%, P = 0.012), and skin/other sensations (25% vs 48%, P = 0.046, but not in olfactory sensations (31% vs 14%, P = 0.18)). There was a significant relationship between radiation site and sensation (P < 0.001), with the odds of sensation during HNB and TBI radiation being 4.33 (95% CI = [2.27 to 8.29]), and 3.61 (95% CI = [1.39-9.41]), respectively, compared to ORS patients. There was also a significant relationship between type of radiation and sensation (P = 0.035), with there being 1.84 times higher odds of experiencing sensation during proton therapy than photon therapy (95% CI = [1.04-3.04]). Patients frequently experience sensations while external beam radiation is on, but the rates and types of sensations varied by site treated and modality of radiation. Radiation oncologists should counsel patients that they may experience these sensations. [ABSTRACT FROM AUTHOR]