Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fung...Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fungi, or plants that aren’t involved in the organism’s usual growth, development, or reproduction. They have an adversarial hold on humans, wildlife, and the agricultural sector, resulting in mysterious ailments and economic disruptions. Mycotoxins-tainted food and fodder can be found all over the world, posing a global concern. Consumption of contaminated food and fodder is a typical cause of epidemic outbreaks. Other mycotoxins have been associated with esophageal cancer and neural tube defects (NTDs);the immunotoxin deoxynivalenol (DON) causes diarrhea when combined with trichothecenes, and ochratoxin A (OTA) has been linked to kidney failure. The direct market costs associated with missed trade or lower revenues owing to tainted food or feed could be viewed as the economic repercussions of mycotoxins on human society. This review describes frequent groups of mycotoxins in detail, their impact on global health, their impact on the socio-economy;the methods of detection and prevention of these mycotoxins.展开更多
Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby communities.Electrical circuits,arson,and neglected charcoal stoves are the major causes of these...Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby communities.Electrical circuits,arson,and neglected charcoal stoves are the major causes of these fires.Previous methods,i.e.,satellites,are expensive to maintain and cause unnecessary delays.Also,unit-smoke detectors are highly prone to false alerts.In this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy model.Two crisp input parameters,namely:FIT and FIG��are used.Results show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression analysis.The study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire danger.As a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false alerts.Through informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.展开更多
文摘Fungi that attack field crops and contaminate agricultural commodities produce mycotoxins when conditions are favorable. These are specialized metabolites made of poisonous chemical compounds created by bacteria, fungi, or plants that aren’t involved in the organism’s usual growth, development, or reproduction. They have an adversarial hold on humans, wildlife, and the agricultural sector, resulting in mysterious ailments and economic disruptions. Mycotoxins-tainted food and fodder can be found all over the world, posing a global concern. Consumption of contaminated food and fodder is a typical cause of epidemic outbreaks. Other mycotoxins have been associated with esophageal cancer and neural tube defects (NTDs);the immunotoxin deoxynivalenol (DON) causes diarrhea when combined with trichothecenes, and ochratoxin A (OTA) has been linked to kidney failure. The direct market costs associated with missed trade or lower revenues owing to tainted food or feed could be viewed as the economic repercussions of mycotoxins on human society. This review describes frequent groups of mycotoxins in detail, their impact on global health, their impact on the socio-economy;the methods of detection and prevention of these mycotoxins.
文摘Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby communities.Electrical circuits,arson,and neglected charcoal stoves are the major causes of these fires.Previous methods,i.e.,satellites,are expensive to maintain and cause unnecessary delays.Also,unit-smoke detectors are highly prone to false alerts.In this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy model.Two crisp input parameters,namely:FIT and FIG��are used.Results show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression analysis.The study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire danger.As a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false alerts.Through informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.
