Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: Provided is a system (10) for determining a probability of a CORD exacerbation in a subject. The system comprises a first inhaler (100) for delivering a rescue medicament to the subject. The rescue medicament may be suitable for treating the subject's acute respiratory disease, for example by effecting rapid dilation of the bronchi and bronchioles upon inhalation of the medicament. The first inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. The system optionally includes a second inhaler for delivering a maintenance medicament to the subject during a routine inhalation A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation and/or during the routine inhalation, when the second inhaler is included in the system.

Abstract: Provided is a system for determining a probability of a respiratory disease exacerbation in a subject. The system comprises an inhaler arrangement for delivering a medicament to the subject. The medicament may be a rescue medicament and/or a maintenance medicament. The inhaler arrangement has a use-detection system configured to determine an inhalation performed by the subject using the inhaler arrangement. A sensor system is configured to measure a parameter relating to airflow during the inhalation. A user interface enables user-input of an indication of a status of the respiratory disease being experienced by the subject. A processor is configured to determine the probability of the respiratory disease exacerbation based on the recorded inhalation(s) from the use-detection system, the parameter(s) received from the sensor system, and the indication received from the user interface. Further provided is a method for determining the probability of a respiratory disease exacerbation in a subject.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: One or more processors determine a financial target for a plurality of business accounts across a plurality of product brands that are included in a business account level of an organizational hierarchy of a business organization. The organizational hierarchy includes a plurality of levels. One or more processors determine respective financial targets and quotas for a plurality of nodes included in a level of the organizational hierarchy. One or more processors determine respective financial targets for combinations of business accounts and product brands. The determination of the financial targets is based on a statistical model that is fitted at a middle level of the organizational hierarchy, and a risk-based stochastic optimization that is used to set financial targets and quotas at one or more levels of the organizational hierarchy.

Abstract: Systems and methods for detecting leaks in a fluid distribution network are provided. In one embodiment, the method includes calculating value of non-revenue fluid. Further, the method includes receiving data corresponding to pressure from pressure sensors in the fluid distribution network and receiving data corresponding to flow from flow sensors in the fluid distribution network. Furthermore, the method includes estimating pressure values at the pressure sensors and estimating flow values at the flow sensors. The received data and estimated values of respective sensors for corresponding time periods are compared. Existence of leak in the fluid distribution network is detected if the value of non-revenue fluid is non-zero. One or more leak spots are located, if a leak is detected, by solving an optimization problem.

Abstract: Systems and methods for detecting leaks in a fluid distribution network are provided. In one embodiment, the method includes calculating value of non-revenue fluid. Further, the method includes receiving data corresponding to pressure from pressure sensors in the fluid distribution network and receiving data corresponding to flow from flow sensors in the fluid distribution network. Furthermore, the method includes estimating pressure values at the pressure sensors and estimating flow values at the flow sensors. The received data and estimated values of respective sensors for corresponding time periods are compared. Existence of leak in the fluid distribution network is detected if the value of non-revenue fluid is non-zero. One or more leak spots are located, if a leak is detected, by solving an optimization problem.