Effect of Aflatoxin B1 Contaminated Corn and Their Products on Some Physiology Parameters in Laboratory Rats

This study was conducted in the laboratories of the Department of Food Sciences/College of Agriculture and in the animal house of the College of Veterinary Medicine and the Central Laboratory at Tikrit University for the period from the beginning of September 2020 to the end of February 2021, with the aim of identifying the types of fungi contaminating corn grains and their products in Iraqi stores and markets and estimating the concentration of Aflatoxin B1 toxins using ELISA technique, the results of Aflatoxin B1 tests showed that all samples contained a higher percentage of what is allowed to be used in human food, which was between (39.5-29) μg/g. The results also showed that feeding of corn samples and its products contaminated with Aflatoxin B1 to rats fed for 21 days affected the significant decrease (p<0.05) in body weight and weight gained for laboratory rats, as well as liver, kidney and spleen enlargement for those animals. There was also a significant decrease in the number of red blood cells and hemoglobin and an increase in the number of white blood cells compared with the control group. The results also showed a significant increase in the activity of liver enzymes for AST, ALT and ALP, and an increase in the concentration of renal parameters for both urea and creatinine concentrations.

Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients

Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous monitoring is necessary. We conducted an observational study involving patients with mild COVID-19 to explore the potentials of wearable biosensors and machine learning-based analysis of physiology parameters to detect clinical deterioration. Thirty-four patients (median age: 32 years; male: 52.9%) with mild COVID-19 from Queen Mary Hospital were recruited. The mean National Early Warning Score 2 (NEWS2) were 0.59 ± 0.7. 1231 manual measurement of physiology parameters were performed during hospital stay (median 15 days). Physiology parameters obtained from wearable biosensors correlated well with manual measurement including pulse rate (r = 0.96, p < 0.0001) and oxygen saturation (r = 0.87, p < 0.0001). A machine learning-derived index reflecting overall health status, Biovitals Index (BI), was generated by autonomous analysis of physiology parameters, symptoms, and other medical data. Daily BI was linearly associated with respiratory tract viral load (p < 0.0001) and NEWS2 (r = 0.75, p < 0.001). BI was superior to NEWS2 in predicting clinical worsening events (sensitivity 94.1% and specificity 88.9%) and prolonged hospitalization (sensitivity 66.7% and specificity 72.7%). Wearable biosensors coupled with machine learning-derived health index allowed automated detection of clinical deterioration.

Respon pertumbuhan dan produksi tanaman kacang tanah (arachis hypogaea l.) Terhadap pemberian kompos batang jagung dan pupuk organik cair limbah ampas tebu

Peanutes is one of stupple food in Indonesia leading to significant role in national crop. This research is conducted by group Random Draft (RAK) factorial consisting of 2 treatment factors: factor I: Compost stem of corn consists and factor II: Liquid Organic Fertilizer waste sugar cane. The parameters were both representing physiology and production. The results of this research are as follows: the introduction of compost corn stem is not real against the several physiology parameters. The best treatment is at a dose of 250 ml/L (T1) on the parameters of high crop, number of branches, age of flowering, production weight per sample and the production weight per Plot. The treatment of combination of corn stem compost and Liquid Organic Fertilizer from the affected sugar cane is not real on the parameters of crop height, number of branches, age of flowering, production weight per sample, number of pods per sample, and production weight per plot. The best treatment is the delivery of compost rod corn dose 1.5 kg/Plot and Liquid Organic Fertilizer of AmpasTebu dose 750ml/L.

6115Influence of microvascular function and coronary flow in the diagnostic precision of resting full-cycle ratio

Introduction Resting full-cycle ratio (RFR) has been recently described as a non-hyperemic index of coronary stenosis with good concordance with Fractional Flow Reserve (FFR). However, there is no information concerning the influence of microvascular function and coronary flow on RFR results. Purpose To determine if the accuracy of this novel parameter might be influenced by changes in microvascular function. Methods 133 patients admitted in our center between July 2016 and December 2017 underwent coronary physiology study of an angiographically intermediate lesion. 67 subjects presented with AMI and an intermediate lesion in a non-culprit artery, and 66 subjects stable coronary disease. We performed FFR, Coronary Flow Reserve (CFR), Index of Microcirculatory Resistance (IMR) and Resistance Reserve Ratio (RRR) in all of them. We calculated RFR retrospectively from the pressure tracings. Results Coronary physiology parameters showed a non-normal distribution and are presented as median [IQR]: FFR 0.86 [0.79–0.92]; CFR 2.05 [1.4–2.95]; IMR 20.5 [14–32.55]; RRR 2.5 [1.85–3.63]; RFR 0.897 [0.83–0.94]. Patients with abnormal CFR displayed lower RFR values although FFR was not markedly affected (Table 1). These findings remained irrespective of the clinical scenario at presentation. 61 patients had a CFR lower than 2. Correlation between RFR and FFR was not significantly different in patients with abnormal CFR than in those with normal CFR (0,73 vs 0,88; p=0,067) (Figure 1); however, overall binary agreement between RFR and FFR was worse in patients with a low CFR (69% vs 83%; p=0,047). 48 patients had a high IMR (>25). Linear correlation between RFR and FFR was similar in patients with high and normal IMR (0,81 vs 0,83; p=0,784); likewise, binary concordance showed no significant difference between both groups (77% vs 75%, p=0,78). The mean difference between RFR and FFR was 0,025. This was only influenced by CFR: patients with a low CFR had a smaller difference than those with a normal CFR (0,012 vs 0,035; p=0,019). Physiology parameters by CFR group Normal CFR (≥2) Low CFR (<2) P-value FFR 0.88 [0.82–0.93] 0.84 [0.79–0.92] 0.14 RFR 0.91 [0.88–0.95] 0.86 [0.80–0.92] 0.0009 IMR 16.5 [13–27] 25 [16–45.5] 0.002 RRR 3.6 [2.7–4.9] 1.7 [1.3–2.1] <0.0001 Physiological coronary parameters (Median [IQR]) according to CFR. Correlation between RFR and FFR by CFR Conclusion RFR has good overall correlation and concordance with FFR. However, RFR has a lower diagnostic accuracy in patients with a low CFR. Acknowledgement/Funding None

An Adaptive Web-based Framework for Mobile Telemonitoring System

Mobile long distance monitoring system using web-based will be deliberated as one of the primary industry in the near future. This paper focuses on the development of the healthcare service for telemonitoring system using an adaptive web-based framework with several parameters at the same time. The proposed system is used to make easy the patient and physician for accessing healthcare system. It tries to combine many functions in healthcare services for long distance monitoring system. Physiological parameters are used such as blood pressure, blood sugar, respiration, heartbeat, pulse, temperature will be received by the system then it is sent to the clinic server immediately. All of these parameters can be inputted by patients themselves while the patients are far from the clinical environment and forward to the physician for further diagnosis and medical treatment. The advantages of the proposed system are the patient will be easy to access the system through internet and easy to connect the physician from a remote area. Smartphone with multimedia features and internet connection in mobile environment can be used to perform mobile computing anywhere and anytime. It keeps real-time recording and monitoring of physiology parameters of the patients at lowest cost and at home. The physiology parameters of patient are increased to be multimedia data. By using the good quality of the multimedia data, the physician will be more precise to perform diagnosis and medical treatment to the patient. The proposed framework can be used to develop a practical web-based mobile telemonitoring system in mobile environment.

Soil moisture and soybean physiology affected by drought in an integrated crop-livestock system

The objective of this work was to evaluate the impact of grazing intensities after 11 years of an integrated crop-livestock system, under no-tillage, on soil moisture and soybean physiological parameters during a summer season affected by drought. The experiment was established in 2001 on a Rhodic Hapludox. Treatments consisted in the succession of soybean (summer) and a mixed pasture of black oat + Italian ryegrass (winter), under different beef-cattle grazing intensities: intensive grazing, with 0.10-m pasture height; moderate grazing, with 0.20-m pasture height; and no grazing. During the soybean cycle, in the 2011/2012 crop season, rainfall was 40% of the climatological normal. The soil moisture was within the limits of available water both under moderate grazing and no grazing, at 0.00-0.50-m soil depth, but, under intensive grazing, it was below the permanent wilting point, especially up to the grazing height of 0.20 m. Intensive grazing affected negatively the plant physiology parameters, reaching peaks of -2.5 MPa and +6°C for leaf water potential and leaf-air temperature difference, respectively. Moderate grazing or the absence of grazing, during the winter season, results in similar physiological responses, contributing to soybean plant homeostasis.