Influencing factors of and multiple paths to high performance in multidisciplinary scientific research cooperation in colleges in China: a fuzzy-set qualitative comparative analysis.

Background: In the context of globalization of science and technology, multidisciplinary cooperation plays an important role in enhancing national scientific research strength. Many countries issue policies and reports to promote the implementation of interdisciplinary research. Colleges play a central role in knowledge generation and scientific inquiry and thus frequently contain a variety of scientific research organizations. With rapid advances in science, large-scale scientific research cooperation across disciplines and institutions is increasingly common. Many factors can affect the performance of research collaboration, and the implementation paths of some key factors remain unclear. In addition, no standardized collaboration system has been established in relevant research. Further studies on interdisciplinary scientific research cooperation will be particularly valuable for improving the efficiency of resource allocation and increasing the level of academic research. Here we explored the "joint effect" of various influencing factors on interdisciplinary collaborative research in colleges and the "interactions" among these factors. Methods: With stratified-cluster random sampling, 358 researchers from 181 research teams at 6 colleges across China were surveyed using a self-administered questionnaire. We used fuzzy-set qualitative comparative analysis (fsQCA) to analyze data to obtain more insight into the status quo of interdisciplinary cooperation among colleges. Results: The results showed that initiation and organization by an institution was a necessary condition for achieving high-performance scientific research collaboration. The performance incentive method of high-tech collaboration could be divided into four main paths: configuration organized by an institution; configuration organized by an institution, with high policy-based guarantees (PG); configuration organized by an institution, with high cooperation willingness (CW) and high cooperation ability (CA); and configuration organized by an institution, with high CW, abilities, and outputs. The drive mechanism of high performance in scientific cooperation could be divided into two types: organization-led and ability/willingness-driven. Conclusions: Only the integration of internal changes with the support of the external environment can ensure the stable development of multidisciplinary scientific research cooperation among colleges.

Exploiting document graphs for inter sentence relation extraction.

BACKGROUND: Most previous relation extraction (RE) studies have focused on intra sentence relations and have ignored relations that span sentences, i.e. inter sentence relations. Such relations connect entities at the document level rather than as relational facts in a single sentence. Extracting facts that are expressed across sentences leads to some challenges and requires different approaches than those usually applied in recent intra sentence relation extraction. Despite recent results, there are still limitations to be overcome. RESULTS: We present a novel representation for a sequence of consecutive sentences, namely document subgraph, to extract inter sentence relations. Experiments on the BioCreative V Chemical-Disease Relation corpus demonstrate the advantages and robustness of our novel system to extract both intra- and inter sentence relations in biomedical literature abstracts. The experimental results are comparable to state-of-the-art approaches and show the potential by demonstrating the effectiveness of graphs, deep learning-based model, and other processing techniques. Experiments were also carried out to verify the rationality and impact of various additional information and model components. CONCLUSIONS: Our proposed graph-based representation helps to extract ∼50% of inter sentence relations and boosts the model performance on both precision and recall compared to the baseline model.

DMP: detouring using multiple paths against jamming attack for ubiquitous networking system.

To successfully realize the ubiquitous network environment including home automation or industrial control systems, it is important to be able to resist a jamming attack. This has recently been considered as an extremely threatening attack because it can collapse the entire network, despite the existence of basic security protocols such as encryption and authentication. In this paper, we present a method of jamming attack tolerant routing using multiple paths based on zones. The proposed scheme divides the network into zones, and manages the candidate forward nodes of neighbor zones. After detecting an attack, detour nodes decide zones for rerouting, and detour packets destined for victim nodes through forward nodes in the decided zones. Simulation results show that our scheme increases the PDR (Packet Delivery Ratio) and decreases the delay significantly in comparison with rerouting by a general routing protocol on sensor networks, AODV (Ad hoc On Demand Distance Vector), and a conventional JAM (Jammed Area Mapping) service with one reroute.