Abstract: A refrigerant metering system/method incorporating a manual expansion valve (MEV), condenser isolation valve (CIV), flow isolation valve (FIV), and evaporator isolation valve (EIV) is disclosed. The MEV is configured to replace a conventional automated expansion valve (AEV) that controls a refrigerant flow valve (RFV) that is positioned in a heating, ventilation, and air conditioning (HVAC) system between a refrigerant condenser coil (RCC) and a refrigerant evaporator coil (REC) and permits manual metering of refrigerant by the RFV from the RCC to the REC and also allows complete shutoff of refrigerant flow by the RFV from the RCC to the REC. The MEV allows rapid HVAC repair and restoration of service where a replacement AEV is not readily available. The CIV/FIV/EIV are positioned in the refrigerant flow lines to permit the AEV and/or REC to be isolated from HVAC refrigerant flow for repairs to the AEV and/or REC.

Abstract: A refrigerant leak detection and mitigation system/method for use in heating, ventilation, and air conditioning (HVAC) systems that incorporates a refrigerant gas sensor (RGS), sensor signal conditioner (SSC), alarm status indicator (ASI), and digital control processor (DCP) is disclosed. The RGS detects ambient refrigerant gas (ARG) and indicates this as a refrigerant sensor voltage (RSV) to the SSC. The DCP and SSC form a closed control loop (CCL) in which the SSC electrical characteristics are adjusted by the DCP such that the RSV is continuously and dynamically recalibrated to account for background refrigerant gas levels, changes in ambient air conditions, RGS manufacturing tolerances, and other field-specific operational conditions that impact the RGS detection capabilities. The DCP is configured to log alarms to the ASI if a RGS refrigerant leak is detected and optionally shutdown one or more HVAC system components such as a specific air handler leaking refrigerant.

Abstract: A failsafe hydrocarbon-based gas (HBG) leak detection (HLD) and mitigation (HLM) system/method for use in heating, ventilation, and air conditioning (HVAC) systems that incorporates a hydrocarbon gas sensor (HGS), sensor signal conditioner (SSC), alarm status indicator (ASI), and digital control processor (DCP) is disclosed. The HGS detects ambient hydrocarbon gas (AHG) and presents a hydrocarbon sensor voltage (HSV) to the SSC. The DCP and SSC form a closed control loop (CCL) in which the SSC electrical characteristics are adjusted by the DCP such that the HSV is continuously and dynamically recalibrated to account for background HBG levels, changes in ambient air conditions, HGS manufacturing tolerances, and other field-specific operational conditions that impact the HGS detection capabilities. The DCP is configured to log alarms to the ASI if a HGS HBG leak is detected and optionally shutdown gas flow to one or more HBG target (HBT) system components.

Abstract: In one embodiment, an embedding is determined for each entity in a set of entities that is selected from a plurality of entities. Each embedding corresponds to a point in an embedding space, which includes points corresponding to embeddings of entities. The embeddings of the entities are determined using a deep-learning model. Embeddings are determined for each entity attribute in a set of entity attributes. Each of the entity attributes in the set is of an entity-attribute type and is associated with at least one entity. The entity-attribute embeddings are refined using the deep-learning model. The embeddings of the entities in the set of entities are modified based on the entity-attribute embeddings that are associated with the respective entity to obtain updated embeddings for each entity in the set. The updated embeddings include information regarding the entity attributes that are associated with the respective entities.

Abstract: A refrigerant leak detection and mitigation system/method for use in heating, ventilation, and air conditioning (HVAC) systems that incorporates a refrigerant gas sensor (RGS), sensor signal conditioner (SSC), alarm status indicator (ASI), and digital control processor (DCP) is disclosed. The RGS detects ambient refrigerant gas (ARG) and indicates this as a refrigerant sensor voltage (RSV) to the SSC. The DCP and SSC form a closed control loop (CCL) in which the SSC electrical characteristics are adjusted by the DCP such that the RSV is continuously and dynamically recalibrated to account for background refrigerant gas levels, changes in ambient air conditions, RGS manufacturing tolerances, and other field-specific operational conditions that impact the RGS detection capabilities. The DCP is configured to log alarms to the ASI if a RGS refrigerant leak is detected and optionally shutdown one or more HVAC system components such as a specific air handler leaking refrigerant.

Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a page embedding for each page in a sequence of pages visited by a user. A pooled page embedding can be determined based on the page embeddings for the sequence of pages visited by the user. One or more page recommendations for the user can be determined based at least in part on the pooled page embedding.

Abstract: A HVAC air treatment (HAT) system/method for use in heating, ventilation, and air conditioning (HVAC) systems that incorporates an air flow sensor (AFS), timer control unit (TCU), ultraviolet lamp(s) (UVL), lamp feedback indicator (LFI), liquid distribution atomizer (LDA), leak exhaust fan (LEF), and digital control processor (DCP) is disclosed. The AFS indicates detection of air flow within the HVAC ducts (HVD) to the DCP and may wirelessly communicate with the DCP. The DCP interrogates the TCU to determine when HAT is to occur if HVD air flow is detected and activates the UVL to disinfect air within the HVD. The LFI provides feedback to the DCP to verify that the UVL is operational. The UVL may be positioned at the fresh air intake (FAI), air intake plenum (AIP), evaporator/heat exchanger (HEX), and/or air exhaust plenum (AEP) and may incorporate an adjustable magnetic frame (AMF) allowing UVL retrofit installation.

Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one scenario that applies to a user of a social networking system based at least in part on features associated with the user. One or more groups of content recommendations associated with the at least one scenario can be determined. Each group of content recommendations can include a set of content items that relate to the at least one scenario. The one or more groups of content recommendations can be provided to the user as recommendations.

Abstract: A social networking system recommends objects, such as pages, of the social networking system to users of the social networking system based on the location of the user. The social networking system obtains location information identifying the location of the user. Based on the location of the user, the social networking system identifies levels of geographical partitions encompassing the location of the user. For each level of geographical partitions, the social networking system accesses relevant objects of the social networking system with connections to users located within the level of geographical partitions. The social networking system may have determined a term frequency-inverse document frequency (tf-idf) value for each relevant object. Based on the number of connections and the tf-idf value associated with each relevant object, the social networking system merges the relevant objects accessed at each level into a set of relevant objects to recommend to the user.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate session information based on information regarding items of a plurality of item types associated with interactions performed by active users of a social networking system. A graph is generated based on the session information. At least a first item of the items is assigned to a cluster based on similarity between the item and the cluster. The cluster is provided to a recommender system to facilitate selection of relevant information for potential presentation to a user.

Abstract: A refrigerant metering system/method incorporating a manual expansion valve (MEV), condenser isolation valve (CIV), flow isolation valve (FIV), and evaporator isolation valve (EIV) is disclosed. The MEV is configured to replace a conventional automated expansion valve (AEV) that controls a refrigerant flow valve (RFV) that is positioned in a heating, ventilation, and air conditioning (HVAC) system between a refrigerant condenser coil (RCC) and a refrigerant evaporator coil (REC) and permits manual metering of refrigerant by the RFV from the RCC to the REC and also allows complete shutoff of refrigerant flow by the RFV from the RCC to the REC. The MEV allows rapid HVAC repair and restoration of service where a replacement AEV is not readily available. The CIV/FIV/EIV are positioned in the refrigerant flow lines to permit the AEV and/or REC to be isolated from HVAC refrigerant flow for repairs to the AEV and/or REC.

Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one web site that is of interest to a user of the social networking system. One or more pages can be determined based at least in part on the web site, the one or more pages being accessible through the social networking system. At least one page recommendation that references at least one of the one or more pages can be provided to the user.

Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.

Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model. A predictive search recommendation is presented to the user based on the machine learning model and the search prediction information. A search is performed based on the predictive search recommendation for one or more search results associated with entity pages on a social networking system.

Abstract: Systems, methods, and non-transitory computer-readable media can present a service directory landing page comprising a plurality of selectable service category options associated with a plurality of pre-defined service categories. A search results page is presented, including one or more search results based on search criteria. Each of the one or more search results is associated with an entity page of a social networking system. The service directory landing page and the search results page are accessible without logging into the social networking system. Each entity page on the social networking system is accessible only when logged into the social networking system.

Abstract: Systems, methods, and non-transitory computer-readable media can receive JOINKEY information identifying a JOINKEY and embedding element information identifying a plurality of embedding elements associated with the JOINKEY. A training instance is created comprising a pre-determined number of embedding elements from the plurality of embedding elements. A plurality of negative samples from a sample cache are added to the training instance. One or more embeddings are updated based on the training instance.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a profile model for a page that is accessible through the social networking system, the profile model describing one or more modal characteristics of users of the social networking system that have fanned the page. A determination can be made that the page should be recommended to a first user of the social networking system based at least in part on the profile model. At least one page recommendation that references the page can be provided to the first user.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a respective embedding for each entity in a set of entities that are accessible through the social networking system, wherein each embedding is learned based at least in part on one or more sessions of connections formed between users and entities of the social networking system. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective embeddings for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity.

Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.

Abstract: A refrigerant leak detection and mitigation system/method for use in heating, ventilation, and air conditioning (HVAC) systems that incorporates a refrigerant gas sensor (RGS), sensor signal conditioner (SSC), alarm status indicator (ASI), and digital control processor (DCP) is disclosed. The RGS detects ambient refrigerant gas (ARG) and indicates this as a refrigerant sensor voltage (RSV) to the SSC. The DCP and SSC form a closed control loop (CCL) in which the SSC electrical characteristics are adjusted by the DCP such that the RSV is continuously and dynamically recalibrated to account for background refrigerant gas levels, changes in ambient air conditions, RGS manufacturing tolerances, and other field-specific operational conditions that impact the RGS detection capabilities. The DCP is configured to log alarms to the ASI if a RGS refrigerant leak is detected and optionally shutdown one or more HVAC system components such as a specific air handler leaking refrigerant.