Event-driven Real-time Retrieval in Web Search

Information retrieval in real-time search presents unique challenges distinct from those encountered in classical web search. These challenges are particularly pronounced due to the rapid change of user search intent, which is influenced by the occurrence and evolution of breaking news events, such as earthquakes, elections, and wars. Previous dense retrieval methods, which primarily focused on static semantic representation, lack the capacity to capture immediate search intent, leading to inferior performance in retrieving the most recent event-related documents in time-sensitive scenarios. To address this issue, this paper expands the query with event information that represents real-time search intent. The Event information is then integrated with the query through a cross-attention mechanism, resulting in a time-context query representation. We further enhance the model's capacity for event representation through multi-task training. Since publicly available datasets such as MS-MARCO do not contain any event information on the query side and have few time-sensitive queries, we design an automatic data collection and annotation pipeline to address this issue, which includes ModelZoo-based Coarse Annotation and LLM-driven Fine Annotation processes. In addition, we share the training tricks such as two-stage training and hard negative sampling. Finally, we conduct a set of offline experiments on a million-scale production dataset to evaluate our approach and deploy an A/B testing in a real online system to verify the performance. Extensive experimental results demonstrate that our proposed approach significantly outperforms existing state-of-the-art baseline methods

Untitled Item

In a mouse arteriovenous fistula model, disturbed flow at the JAA correlates with early EC loss, early thrombus formation, and later NIH, with increased NIH at the JAA compared to the outflow vein during venous remodeling. This suggests the increased importance of using the JAA, rather than the outflow vein, to assess potential data for translational applications.</p

Supplementary figure and figure legend

We showed disturbed flow together with endothelial cell loss, resulting in thrombus formation, induce eccentric and heterogenous neointimal formation.</p

Analysis on an Auto Increment Detection System of Chinese Disaster Weibo Text

With the rapid development of Internet information technology, the advantages of social media in terms of speed, content, form, and effect of communication are becoming increasingly significant. In recent years, more and more researchers have paid attention to the special value and role of social media tools in disaster information emergency management. Weibo is the most widely used Chinese social media tool. To effectively mine and apply the emergency function of disaster situation microblogs, a disaster situation information discovery and collection system capable of online incremental identification and collection are constructed for massive and disordered disaster microblog text streams. First, based on the deep learning- trained word vector model and a large-scale corpus, an unsupervised short-text feature representation method of disaster situation Weibo information is developed. According to the experimental results of the feature combination test and the training set scale test, the SVM algorithm was selected for disaster microblog information classification, which realized effective identification of disaster situation micro-bloggings. Then, the temporal information similarity and geographic information similarity are used to improve the single text similarity algorithm, and a Chinese disaster event online real-time detection model is constructed. Furthermore, the disaster-affected areas can be achieved in real-time based on the detection results. By crawling and classifying the micro-bloggings from the disaster-affected areas, it is possible to realize the incremental identification and collection of online disaster situation Weibo information. Finally, the empirical analysis of disaster events such as the &amp;ldquo;Leshan Earthquake&amp;rdquo; shows that the real- time intelligent identification and collection system for disaster situation Weibo micro-bloggings developed in this paper can obtain large-scale and useful data for disaster emergency management, which proving that this system is effective and efficient

Preparation of 2‑Amino-3-arylindoles via Pd-Catalyzed Coupling between 3‑Diazoindolin-2-imines and Arylboronic Acids as well as Their Extension to 3‑Aryl-3-fluoroindolin-2-imines

2-Amino-3-arylindoles were conveniently prepared from 3-diazoindolin-2-imines and arylboronic acids through palladium carbene intermediates in moderate to excellent yields. The synthesized 2-amino-3-arylindoles could be fluorinated with NFSI to afford 3-aryl-3-fluoroindolin-2-imines

Preparation of 2‑Amino-3-arylindoles via Pd-Catalyzed Coupling between 3‑Diazoindolin-2-imines and Arylboronic Acids as well as Their Extension to 3‑Aryl-3-fluoroindolin-2-imines

2-Amino-3-arylindoles were conveniently prepared from 3-diazoindolin-2-imines and arylboronic acids through palladium carbene intermediates in moderate to excellent yields. The synthesized 2-amino-3-arylindoles could be fluorinated with NFSI to afford 3-aryl-3-fluoroindolin-2-imines

Development of a Control System for Double-Pendulum Active Spray Boom Suspension Based on PSO and Fuzzy PID

During the operation of boom sprayers in the field, it is crucial to ensure that the entire boom is maintained at an optimal height relative to the ground or crop canopy. Active suspension is usually used to adjust the height. A control system for double-pendulum active suspension was developed in this paper. The control system consisted of a main control node, two distance measurement nodes, a vehicle inclination detection node, and an execution node. Communication between nodes was carried out using a CAN bus. The hardware was selected, and the interface circuits of the sensors and the actuator were designed. The transfer functions of the active suspension and electric linear actuator were established. In order to enhance the efficiency of the control system, the particle swarm optimization (PSO) algorithm was employed to optimize the initial parameters of the fuzzy PID controller. The simulation results demonstrated that the PSO-based fuzzy PID controller exhibited improvements in terms of reduced overshoot and decreased settling time when compared to conventional PID and fuzzy PID controllers. The experimental results showed that the active suspension system equipped with the control system could effectively isolate high-frequency disturbances and follow low-frequency ground undulations, meeting the operational requirements

Rh-Catalyzed Conversion of 3‑Diazoindolin-2-imines to 5<i>H</i>‑Pyrazino­[2,3‑<i>b</i>]­indoles with Photoluminescent Properties

A rhodium-catalyzed reaction between 3-diazoindolin-2-imines and 2<i>H</i>-azirines, followed by treatment with a base, furnishes 5<i>H</i>-pyrazino­[2,3-<i>b</i>]­indoles in excellent yields. A number of functional groups tolerate the reaction conditions, and the resulting 5<i>H</i>-pyrazino­[2,3-<i>b</i>]­indoles present strong photoluminecence in solutions, powders, and films

Supplementary Figure legends.docx

In a mouse arteriovenous fistula model, disturbed flow at the JAA correlates with early EC loss, early thrombus formation, and later NIH, with increased NIH at the JAA compared to the outflow vein during venous remodeling. This suggests the increased importance of using the JAA, rather than the outflow vein, to assess potential data for translational applications. </p