Machine learning algorithm for ventilator mode selection, pressure and volume control.

Mechanical ventilation techniques are vital for preserving individuals with a serious condition lives in the prolonged hospitalization unit. Nevertheless, an imbalance amid the hospitalized people demands and the respiratory structure could cause to inconsistencies in the patient's inhalation. To tackle this problem, this study presents an Iterative Learning PID Controller (ILC-PID), a unique current cycle feedback type controller that helps in gaining the correct pressure and volume. The paper also offers a clear and complete examination of the primarily efficient neural approach for generating optimal inhalation strategies. Moreover, machine learning-based classifiers are used to evaluate the precision and performance of the ILC-PID controller. These classifiers able to forecast and choose the perfect type for various inhalation modes, eliminating the likelihood that patients will require mechanical ventilation. In pressure control, the suggested accurate neural categorization exhibited an average accuracy rate of 88.2% in continuous positive airway pressure (CPAP) mode and 91.7% in proportional assist ventilation (PAV) mode while comparing with the other classifiers like ensemble classifier has reduced accuracy rate of 69.5% in CPAP mode and also 71.7% in PAV mode. An average accuracy of 78.9% rate in other classifiers compared to neutral network in CPAP. The neural model had an typical range of 81.6% in CPAP mode and 84.59% in PAV mode for 20 cm H2O of volume created by the neural network classifier in the volume investigation. Compared to the other classifiers, an average of 72.17% was in CPAP mode, and 77.83% was in PAV mode in volume control. Different approaches, such as decision trees, optimizable Bayes trees, naive Bayes trees, nearest neighbour trees, and an ensemble of trees, were also evaluated regarding the accuracy by confusion matrix concept, training duration, specificity, sensitivity, and F1 score.

Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning.

In the domain of remote sensing, the classification of hyperspectral image (HSI) has become a popular topic. In general, the complicated features of hyperspectral data cause the precise classification difficult for standard machine learning approaches. Deep learning-based HSI classification has lately received a lot of interest in the field of remote sensing and has shown promising results. As opposed to conventional hand-crafted feature-based classification approaches, deep learning can automatically learn complicated features of HSIs with a greater number of hierarchical layers. Because HSI's data structure is complicated, applying deep learning to it is difficult. The primary objective of this research is to propose a deep feature extraction model for HSI classification. Deep networks can extricate features of spatial and spectral from HSI data simultaneously, which is advantageous for increasing the performances of the proposed system. The squeeze and excitation (SE) network is combined with convolutional neural networks (SE-CNN) in this work to increase its performance in extracting features and classifying HSI. The squeeze and excitation block is designed to improve the representation quality of a CNN. Three benchmark datasets are utilized in the experiment to evaluate the proposed model: Pavia Centre, Pavia University, and Salinas. The proposed model's performance is validated by a performance comparison with current deep transfer learning approaches such as VGG-16, Inception-v3, and ResNet-50. In terms of accuracy on each class of datasets and overall accuracy, the proposed SE-CNN model outperforms the compared models. The proposed model achieved an overall accuracy of 96.05% for Pavia University, 98.94% for Pavia Centre dataset, and 96.33% for Salinas dataset.

PVA and BSA stabilized silver nanoparticles based surface-enhanced plasmon resonance probes for protein detection.

To perform biosensing using nanoparticles in solution, silver particles were coated with bovine serum albumin (BSA) and polyvinyl alcohol (PVA) as control stabilizer. The plasmon resonance (420 nm) of the silver nanoparticles in solution was shifted slightly to longer wavelength (443 nm) when they were coated with BSA. The biointeractions of these engineered nanoparticles were studied using a mouse model. No significant changes in behavior or toxicity were observed. The nanoparticles were detected in all tissues including the brain. Antibody recognition was monitored via the change in light absorption which accompanied binding, indicating that the particles can be used as a biosensor to gain more insight into cellular mechanisms governing the function of organs in general, and the blood brain barrier (BBB) and brain in particular.

Taurine modifies insulin signaling enzymes in the fructose-fed insulin resistant rats.

OBJECTIVES: High fructose feeding induces insulin resistance and hyperinsulinemia in rats. The present study was proposed to elucidate the derangements in the insulin signaling pathway in high fructose-fed rats and whether taurine, a sulphur-containing amino acid could improve insulin action by modulating the signal transduction pathway. METHODS: Male Wistar rats of body weight 170-190 g were divided into 4 groups of 6 rats each. Control rats received control diet and water ad libitum. Fructose fed animals received high fructose diet (> 60% of total calories) and water ad libitum. Fructose + taurine rats received fructose diet and 2% taurine solution ad libitum. Control + taurine rats received control diet and 2% taurine solution ad libitum. After the experimental period of 30 days, the effects of taurine on certain parameters on glucose metabolism were determined. The activities of protein tyrosine kinase (PTK) and protein tyrosine phosphatase (PTP) were assayed in liver. RESULTS: The activities of the glycolytic enzymes were significantly lower while the activities of the gluconeogenic enzymes were higher in untreated fructose-fed rats as compared to control animals. Depletion of liver glycogen was observed in fructose-fed rats. Fructose-fed rats showed alterations in the activities of insulin signaling enzymes PTK and PTP. Taurine administration improved insulin sensitivity and controlled hyperglycemia and hyperinsulinemia in fructose-fed rats. Taurine treatment also restored the glucose metabolizing enzyme activities in fructose-fed rats. CONCLUSIONS: Taurine supplementation might have a beneficial effect in overcoming insulin resistance and its associated abnormalities by modifying the post-receptor events of insulin action.

Taurine prevents collagen abnormalities in high fructose-fed rats.

BACKGROUND & OBJECTIVE: Accumulation of collagen and changes in its physiochemical properties contribute to the development of secondary complications of diabetes. We undertook this study to see the effects of taurine on the content and characteristics of collagen from tail tendon of rats fed with high fructose diet. METHODS: The rats were divided into four groups of six each: control group (CON), taurine-supplemented control group (CON+TAU), taurine supplemented (FRU+TAU) and not supplemented fructose-fed group (FRU). The physico-chemical properties of collagen isolated from the tail tendon were studied. RESULTS: Fructose administration caused accumulation of collagen in tail tendon. Enhanced glycation and advanced glycation end products (AGE)-linked fluorescence together with alterations in aldehyde content, solubility pattern, susceptibility to denaturing agents and shrinkage temperature were observed in fructose-fed rats. Elevated b component of type I collagen was evidenced from the SDS gel pattern of collagen from the fructose-fed rats. Simultaneous administration of taurine alleviated these changes. INTERPRETATION & CONCLUSION: Taurine administration to fructose-rats had a positive influence on both quantitative and qualitative properties of collagen. The results of the present study suggested a role for the action of taurine in delaying diabetic complications and the possible use of taurine as an adjuvant therapeutic measure in the management of diabetes and its complications.

Potential role of kinins in the effects of taurine in high-fructose-fed rats.

The present work investigates the involvement of kinins in the effects of taurine in fructose-fed hypertensive rats. The effects of taurine on blood pressure, plasma glucose, insulin, and the insulin sensitivity index were determined. Angiotensin-converting enzyme (ACE) activity and nitrite content in plasma, plasma and tissue kallikrein activity, and taurine content were also investigated. The blood pressure changes in response to the coadministration of inhibitors of the synthesis of nitric oxide (NO), prostaglandins (PGs), or a kinin receptor blocker along with taurine was also evaluated. Fructose-fed rats had higher blood pressure and elevated plasma levels of glucose and insulin. Kallikrein activity, taurine, and nitrite contents were significantly lower in fructose-fed rats as compared with controls. The increases in systolic blood pressure, hyperglycemia, and hyperinsulinemia were controlled by taurine administration in fructose-fed rats. ACE activity was lower, while nitrite and taurine content and kallikrein activity were higher, in taurine-supplemented rats as compared with fructose-fed rats. A significant increase in blood pressure was observed in rats cotreated with the inhibitors Hoe 140 (a kinin receptor blocker), L-NAME (a NO synthase inhibitor), or indomethacin (a PG synthesis inhibitor) with taurine for 1 week as compared with taurine-treated fructose-fed rats. This suggests that the antihypertensive effect of taurine in fructose-fed rats was blocked by the inhibitors. Augmented kallikrein activity and, hence, increased kinin availability may be implicated in the effects of taurine in fructose-fed hypertensive rats.

Fructose diet-induced skin collagen abnormalities are prevented by lipoic acid.

Nonenzymatic glycation of proteins, leading to chemical modification and cross-linking are of importance in the pathology of diabetic complications. We studied the effect alpha-lipoic acid (LA) on the content and characteristics of the protein collagen from skin of high-fructose fed rats. The rats were divided into 4 groups of 6 each. Two groups of rats were fed with a high fructose diet (60 g/100 g diet) and administered either LA (35 mg/kg b.w., i.p) (FRU+LA) or 0.2 ml vehicle (saline) (FRU) for 45 days. The other 2 groups were fed with control diet containing starch (60 g/100 g diet) and administered either saline (CON) or lipoic acid (CON+LA). The rats were maintained for 45 days and then sacrificed. Plasma glucose, insulin, fructosamine, protein glycation, and blood glycated hemoglobin (HbA1C) were measured. Collagen was isolated from skin and the physicochemical properties of collagen were studied. Fructose administration caused accumulation of collagen in skin. Extensive cross-linking was evidenced by enhanced glycation and AGE-linked fluorescence. Increased peroxidation and changes in physicochemical properties such as shrinkage temperature, aldehyde content, solubililty pattern, susceptibility to denaturing agents were observed in fructose-fed rats. SDS gel pattern of collagen from these rats showed elevated beta component of type I collagen. These changes were alleviated by the simultaneous administration of LA. Administration of LA to fructose-fed rats had a positive influence on both quantitative and qualitative properties of collagen. The results suggest a mechanism for the ability of LA to delay diabetic complications.

Taurine modulates kallikrein activity and glucose metabolism in insulin resistant rats.

Taurine, a potent antioxidant has been reported to show an anti-diabetic effect in streptozotocin-induced diabetes mellitus in which the development of hyperglycemia results from the damage to beta cells of pancreas by reactive oxygen species. In addition, taurine also increases the excretion of nitrite and enhances the formation of kinins and would be expected to improve insulin resistance. The effect of taurine on insulin sensitivity was examined in the high fructose-fed rats, an animal model of insulin resistance. Male Wistar rats of body weight 170-190g were divided into 4 groups: a control group and taurine-supplemented control group, taurine supplemented and unsupplemented fructose-fed group. An intravenous glucose tolerance test (IVGTT) and a steady state plasma glucose level (SSPG) were performed before the sacrifice. The fructose-fed rats displayed hyperglycemia and insulin resistance and they had a greater accumulation of glycogen than did control rats. Hyperglycemia and insulin resistance were significantly lower in the taurine supplemented fructose-fed group than in the unsupplemented fructose-fed group. Urinary kallikrein activity was higher in taurine-treated animals than in the rats fed only fructose. The activity of membrane bound ATPases were significantly lower in fructose-fed rats than in the control rats and were significantly higher in the taurine supplemented group than in the fructose-fed group. Taurine effectively improves glucose metabolism in fructose-fed rats presumably via improved insulin action and glucose tolerance.

Response of liver antioxidant system to taurine in rats fed high fructose diet.

Fructose-fed rats were more susceptible to peroxidative damage as measured by thiobarbituric acid reactive species. The concentrations of lipid peroxides, diene conjugates, lipofuscin and hydroperoxides were significantly higher. The levels of enzymic antioxidants such as vitamin C, vitamin E and glutathione and activities of antioxidant enzymes were significantly lower in fructose-fed rats. When these rats received taurine in drinking water, peroxidative damage was minimal in both plasma and liver. Taurine was effective in inducing the antioxidant potential in fructose-fed rats. Increased peroxidative damage in liver is likely to be associated with fructose dependent pathology, which could be reduced by taurine by enhancing the antioxidant potential.

The toxicity of ammonia, nitrite and nitrate to the fish, Catla catla (Hamilton).

The acute toxicity of unionized ammonia; nitrite and nitrate to the Indian major carp Catla catla (Hamilton) was determined using static and continuous flow through systems for 24 hours. The median lethal concentration (LC50) values for 24 h of ammonia (NH3-N), nitrite (NO2-N) and nitrate (NO3-N) were 0.045 mg/l, 120.84 mg/l and 1565.43 mg/l in static test respectively and were 0.036 mg/l, 117.43 mg/l and 1484.08 mg/l in continuous flow through test respectively.