18,026 research outputs found
The state of the market and the contrarian strategy: Evidence from Chinaās stock market
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 The Chinese Economic Association.Using the most comprehensive weekly dataset of āAā shares listed on the Chinese stock market, this paper examines short-term contrarian strategies under different market states from 1995ā2010. We find statistically significant profits from contrarian strategies, especially during the period after 2007, when China (along with other countries) experienced an economic downturn following the worldwide financial crisis. Our empirical evidence suggests that: (1) no significant profit is generated from either momentum or contrarian strategies in the intermediate horizon; (2) after microstructure effects are adjusted for, contrarian strategies with only four to eight weeks holding periods based on the stocksā previous four to eight week's performance generate statistically significant profits of around 0.2% per week; (3) the contrarian strategy following a ādownā market generates higher profit than those following an āupā market, suggesting that a contrarian strategy could be used as a shelter when the market is in decline. The profits following a ādownā market are robust after risk adjustment
Transition metal oxides for high performance sodium ion battery anodes
Sodium-ion batteries (SIBs) are attracting considerable attention with expectation of replacing lithium-ion batteries (LIBs) in large-scale energy storage systems (ESSs). To explore high performance anode materials for SIBs is highly desired subject to the current anode research mainly limited to carbonaceous materials. In this study, a series of transition metal oxides (TMOs) is successfully demonstrated as anodes for SIBs for the first time. The sodium uptake/extract is confirmed in the way of reversible conversion reaction. The pseudocapacitance-type behavior is also observed in the contribution of sodium capacity. For Fe2O3anode, a reversible capacity of 386 mAh g-1at 100 mA g-1 is achieved over 200 cycles; as high as 233 mAhg-1is sustained even cycling at a large current-density of 5 A g-1
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability
The process of matching patients with suitable clinical trials is essential
for advancing medical research and providing optimal care. However, current
approaches face challenges such as data standardization, ethical
considerations, and a lack of interoperability between Electronic Health
Records (EHRs) and clinical trial criteria. In this paper, we explore the
potential of large language models (LLMs) to address these challenges by
leveraging their advanced natural language generation capabilities to improve
compatibility between EHRs and clinical trial descriptions. We propose an
innovative privacy-aware data augmentation approach for LLM-based patient-trial
matching (LLM-PTM), which balances the benefits of LLMs while ensuring the
security and confidentiality of sensitive patient data. Our experiments
demonstrate a 7.32% average improvement in performance using the proposed
LLM-PTM method, and the generalizability to new data is improved by 12.12%.
Additionally, we present case studies to further illustrate the effectiveness
of our approach and provide a deeper understanding of its underlying
principles
Virtual Instrument for Determining Rate Constant of Second-Order Reaction by pX Based on LabVIEW 8.0
The virtual instrument system based on LabVIEW 8.0 for ion analyzer which can measure and analyze ion concentrations in solution is developed and comprises homemade conditioning circuit, data acquiring board, and computer. It can calibrate slope, temperature, and positioning automatically. When applied to determine the reaction rate constant by pX, it achieved live acquiring, real-time displaying, automatical processing of testing data, generating the report of results; and other functions. This method simplifies the experimental operation greatly, avoids complicated procedures of manual processing data and personal error, and improves veracity and repeatability of the experiment results
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