Citrix Systems, Inc.

Samsung Electronics Co., Ltd.

Nanjing University

The Third Clinical Medical College, Nanjing University of Chinese Medicine

Xin Liu

Yimin Liu

Sai Xu

Yuran Ou

Tianyu Xiao

Taodong Lu

Feng Tang

Bo Peng

Zengwei Yuan

Peng Yao

Chengjun Wang

Lei Wan

Nan Wang

Congyang Xue

Suxia Li

Zihan Wang

Liping Chen

Ran Kang

Bo Chen

Lin Xie

The present disclosure provides a magnetic nano-drug with double targeting vascular endothelial growth factor (VEGF)-vascular endothelial growth factor receptor (VEGFR), and a preparation method and application thereof, and belongs to the technical field of biomedicine. The magnetic nano-drug of the present disclosure includes aminated ZnFeOhollow porous magnetic nano-particles, lactate dehydrogenase-silk fibroin (LDH-SF), ethylene dichloride (EDC), and n-hydroxy succinimide (NHS). A mass ratio of the aminated ZnFeOhollow porous magnetic nano-particles to the EDC to the NHS to the LDH-SF is (5-10):(1-5):(1-6):(1-8).

Magnetic nano-drug with double targeting VEGF-VEGFR, and preparation method and application thereof

A system and method for dynamically transforming email signatures. A method includes: receiving an email from an email client prior to delivery to an intended recipient, the email including an original signature; analyzing the email to obtain information associated with the intended recipient of the email; predicting a preferred language of the intended recipient based on the information; converting the original signature to a revised signature, wherein the revised signature utilizes the preferred language; and forwarding the email with the revised signature to the intended recipient.

Automated transformation of email signatures

The invention discloses a spatial and temporal feature-based method for measuring domestic wastewater effluent loadings, comprising the following steps: establish a model for measuring regional domestic wastewater effluent loadings; calculate regional population distribution raster data; obtain per capita effluent loading coefficients with spatial and temporal differences; calculate regional domestic wastewater effluent loadings; and compare and analyze the temporal fluctuation features and spatial variation features of regional domestic wastewater effluent loadings and identify 'hotspot' periods and areas of effluent loadings. Compared with the prior art, the method for measuring domestic wastewater effluent loadings provided by the present invention is flexible, convenient and highly universal, which can significantly raise the temporal-spatial resolution of the pattern of regional domestic wastewater effluent loadings. The data needed are also publicly available. This invention can help identify key pollution areas and periods and lay a methodological foundation for precision pollution control.

Spatial and temporal feature-based method for measuring domestic wastewater effluent loadings

System and methods discussed for automatically optimizing application and notification delivery based on user preferences and historical application usage. Applications that a user is likely to want to use at the present time or in the near future are displayed in an organizationally distinct way in an application catalog so they are easy to find and are pre-loaded on an application delivery server so they are available with minimal system lag caused by application loading processes. Application notifications are also optimized such that notifications that are likely to be relevant to users at the current time are identified and presented to them in an organizationally distinct way.

Sorting optimization based on user's time preferences and habits

At least one target hash value is generated for a target version of a Web product from contents of a Web page displayed by the target version of the Web product. The target hash value is compared to at least one corresponding baseline hash value generated from a Web page displayed by a baseline version of the Web product. A difference between the target hash value and the baseline hash value indicates a difference between a user interface of the target version of the Web product and a user interface of the baseline version of the Web product. The user interface of the target version of the Web product is generated in response to the comparison between the target hash value and the baseline hash value.

Systems and methods for development of web products

A system that comprises a microapp server includes a memory and at least one processor coupled to the memory. The microapp server is configured to generate a recommendation to modify a set of one or more subscribed microapps. The microapp server is configured to gather observational data that characterizes interactions of a user with an endpoint. The user is associated with the set of one or more subscribed microapps. The microapp server is further configured to identify, based on the observational data, a modification to the set of one or more subscribed microapps. The microapp server is further configured to send, to an administration console, the recommendation to modify the set of one or more subscribed microapps in accordance with the identified modification.

Microapp subscription recommendations

A method and an apparatus for detecting an abnormality of a caller are provided. The method includes at the beginning of a call, acquiring, by a terminal device, real voice/video data of a call object who needs abnormality detection and a corresponding pre-trained multi-stage neural network detection model, during the call, collecting, by the terminal device, call data according to a preset data collection policy, for each call object, inputting the currently collected call data and the real voice/video data of the call object into the model of the call object, and determining whether the call object is abnormal according to a detection result output by the model, in which the call data includes image data and/or voice data, and an identification manner adopted by the model includes face identification, voiceprint identification, limb movement identification, and/or lip language identification. By adopting the disclosure, the abnormality of the caller may be accurately detected, and the voice forgery and the video forgery mimicked by AI during a call may be accurately identified.

Method and apparatus for detecting abnormality of caller

A first computing system may determine that a first event is represented in first data received from a second computing system. Based at least in part on the first event being represented in the first data, the first computing system may generate a time-ordered schedule of events that includes an indication of the first event, and may send, to a client device, second data representing the time-ordered schedule of events.

Intelligent event tracking system

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Nanjing, China

Xin Liu