Cross-domain named entity recognition (NER) aims to adapt knowledge learned from the source domain to recognize named entities in the target domain with limited labeled data. One of its core challenges is the significant semantic gap existing between domains, which hinders the transfer of learned entity-type relations to new domains. Although syntactic knowledge can partly reduce domain discrepancies, existing works are mostly limited to token-level dependency relations and fail to directly capture the boundaries and associations of entities and their types as complete chunks, thereby limiting the ability of syntax to help models perceiving entity types in different domains. To address this issue, we proposed a cross-domain NER framework based on chunk-level dependency syntax (CDS) guided pre-training. Initially, we utilize large language models to generate task-oriented corpus that describes the relationships between entities and their types. Then, we design a CDS construction strategy that integrates a part-of-speech rules filter with dependency constraint to automatically identify entity and type chunks from the generated text. These chunks serve as self-supervised signals to guide the model in chunk-level masked pre-training, enabling it to learn chunk-level association patterns between entities and their types. Subsequently, we fine-tune the model on labeled data from both the source and target domains to enhance its adaptability across domains, and then apply it to perform NER in the target test set. Experimental results on six public datasets across different domains demonstrate that our proposed method consistently outperforms other baseline models, achieving average Micro-F1 improvements of 2.46% and 2.18% over the best comparative baselines in single-source and multi-source cross-domain settings, respectively.
Extracorporeal membrane oxygenation (ECMO) is increasingly being utilized for life-threatening cardiac and/or respiratory failure refractory to conventional treatment. Acute kidney injury (AKI) and fluid balance disorders commonly occur both before and during ECMO, with approximately half of cases receiving treatment with continuous renal replacement therapy (CRRT). Acute kidney injury, fluid balance disorders, and CRRT influence both short- and long-term outcomes in this population. The 36th Acute Disease Quality Initiative (ADQI) meeting was held in June 2025 to develop multidisciplinary international expert recommendations for AKI, fluid balance, and CRRT during ECMO across the age spectrum. This work encompassed five working groups: 1) epidemiology, risk factors, and outcomes of AKI and CRRT, 2) fluid management and outcomes, 3) indications for CRRT and fluid removal during ECMO, 4) best practices for performing CRRT during ECMO, and 5) biomarkers, extracorporeal blood purification, and drug pharmacokinetics and pharmacodynamics. As part of this work, knowledge gaps and research priorities were identified.
Using tick-by-tick data, this study examines intraday liquidity of WTI, Brent, and INE crude oil futures. US EIA inventory announcements significantly affect intraday returns and, to a lesser extent, liquidity across all three markets. We document strong commonality in intraday liquidity, largely driven by supply-side factors, and find that WTI is the dominant source of liquidity spillovers, a pattern not mirrored in return spillovers. These findings highlight different mechanisms behind liquidity commonality and return comovements. The results are robust to additional control variables and alternative liquidity measures.
Endocrine-disrupting chemicals (EDCs) pose urgent threats to public and environmental health, disproportionately affecting marginalized communities. Yet most EDC research training remains siloed within disciplines like epidemiology, toxicology, or molecular biology, limiting cross-disciplinary collaboration. Despite rising awareness of EDCs’ widespread impact, traditional academic training fails to equip scientists for the interdisciplinary, community-engaged, and policy-oriented work these challenges demand. We propose a training framework based on four pillars: (1) Interdisciplinary Science to integrate diverse approaches; (2) Community Engagement Reflexivity to ensure research aligns with community needs; (3) Science Communication to share findings clearly and combat misinformation; and (4) Public Health Policy to turn evidence into action. The aim is not to master every method but to foster collaboration across fields. We highlight this model through a case study of the Marine Biological Laboratory’s “Endocrine Disrupting Chemicals: Hazards and Opportunities” (ECHO), a two-week course uniting scientists from various disciplines for immersive training. This approach empowers researchers to bridge science and policy, promote environmental justice, and address the complex realities of chemical exposures and environmental inequities.
Audit planning is a critical phase of the audit process, yet remains largely unobservable in archival research. This paper examines whether new audit partners make different planning decisions, focusing specifically on the use of component auditors in multinational audits. For U.S. multinationals, audit partners must determine whether and to what extent audit procedures, and therefore component auditors, are needed in foreign locations. While audit firms strive for continuity during transitions, incoming partners may provide a "fresh look" at prior audit plans or face resource constraints and learning curves as they acquire client and component auditor-specific knowledge. We find that partners significantly decrease the number of component auditors used in their first year on an engagement. This decrease is magnified when the audit partner faces fee pressure and reverses over the partner's tenure on the engagement, which is consistent with resource constraints and the gradual acquisition of client knowledge. The result is concentrated among small component auditors, where the partner has greater discretion. While prior literature demonstrates increased hours following audit partner changes, we provide insight into a specific, important, and complex planning decision made by new audit partners.
