Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. One computer-based method include establishing a cost index for specialty properties at a server computer that only includes raw move-in data based on actual transpired transaction for specialty properties. This move-in data includes move-in attributes about at least one type of specialty property and can be assimilated into the cost index while other non-move-in data attributes unassociated with move-in data is excluded from assimilation into the cost index. As a cost estimate is generated from transaction-only data, it may be stored separately and/or communicated to a remote computer within a computer network.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding demand in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market and the ebb and flow of regional costs, regional demand, regional demographics, and regional econometrics. Further, intra-regional and extra-regional data may also reflect the behavior of individuals in a market based on additional factors. Collecting this data and assigning relative values to the data based on follow-on activities, such as actual inquiries into property, lead generation for specific properties and move-in data for specific properties leads to a ever-changing demand index that is continuously updated through a machine-learning algorithm by which demand index data may be gleaned at any given moment in time for any specific region.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market and the ebb and flow of regional costs, regional cost, regional demographics, and regional econometrics. Further, intra-regional and extra-regional data may also reflect the behavior of individuals in a market based on additional factors. Collecting this data and assigning relative values to the data based on follow-on activities leads to an ever-changing cost index that is continuously updated through a machine-learning algorithm. As data is assimilated and cultivated in a cost index, cost estimates may be gleaned across a subset of data for any delineation of data by region, age group, facility type, and facility value.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market and the ebb and flow of regional costs, regional cost, regional demographics, and regional econometrics. Further, intra-regional and extra-regional data may also reflect the behavior of individuals in a market based on additional factors. Collecting this data and assigning relative values to the data based on follow-on activities, such as actual inquiries into property, lead generation for specific properties and move-in data for specific properties leads to an ever-changing cost index that is continuously updated through a machine-learning algorithm by which cost index data may be gleaned at any given moment in time for any specific region.

Abstract: Computer systems, devices, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. With this assembled cost data, time-period based growth figures may be calculated on a care-type-by-care-type basis across a region's specialty property inventory. These systems and methods may be utilized to generate cost growth calculations on a per-property basis as well as a per-care-type basis. By assembling cost date across multiple specialty properties in a given region that are further delineated by care-type, one may determine, first, a median of the costs assembled per group within one of the properties. Then, a median of these initials medians on a per-care-type basis may be generated to show true cost growth for various care-types across a specific region or locale.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data corresponding to one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors will affect a specific market. Collecting this data and assigning relative values to the data leads to an ever-changing set of indices that is continuously updated through a machine-learning algorithm by which index data may be gleaned at any given moment in time for any specific region. These factors may exhibit variable importance across various regions and demographics. By identifying and determining the impact of these variable importance factors, future costs or future demand may be gleaned to allow a specialty property manager to more insightfully plan for acquisition and expansion based on gleaned statistics from actual data in the ebb and flow of specialty property use.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. Several factors affect a specific market and the ebb and flow regional cost and demand, regional demographics, and regional econometrics. Collecting this data and assigning relative values to the data based on follow-on activities, such as actual inquiries into property, lead generation for specific properties and move-in data for specific properties leads to an ever-changing index that is continuously updated through a machine-learning algorithm by which index data may be gleaned for any specific region. Once an index of data is assembled, a user may glean specific and targeted estimates to future costs or future demand for specialty property based on geographic information, demographic information, and econometric information.

Abstract: Systems, apparatuses, and methods for enabling a user to collect, assemble, manipulate, and utilize data regarding cost or demand in one or more specific markets about specialty properties, such as assisted living, long-term care facilities, and the like. As data is collected into an index, some data may be not very useful as it deviates too much from other similarly-situated data. Thus, analyzing the assembled data for deviation from one or more confidence levels and culling data that is deemed to be outlier data results in a more robust assembly of data about specialty properties in more useful indexes. The server computer may determine move-in data that deviates from a specified confidence level corresponding to a grouping of received move-in data and exclude its use. Based on the index having non-outlier data therein, one may generate an estimate corresponding to move-in data assimilated into the index with confidence.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Abstract: A mounting device may comprise a base having first and second sides and having a cavity in the first side thereof; a pin in the cavity and extending from the base to define an axial direction; a plate disposed in the cavity and movable in the axial direction on the pin; a spring for biasing the plate away from the base in the axial direction; and a bracket extending from the second side of the base, wherein the bracket may be adjustable for gripping an object to which the mounting device may be mountable.