Results 41 to 50 of about 1,597 (177)
A unifying model for lookahead LR parsing
A construction method is presented for lookahead LR passers that unifies many of the construction algorithms available in the literature. The model allows single, multiple, and arbitrary symbol lookahead, each only when required. Three user-supplied parameters are used by the construction method; specific settings of these parameters yield well-known ...
Computer and Information Sciences Department, University of Florida, Gainesville, FL 32611, U.S.A. ( host institution ) +1 more
openaire +2 more sources
From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter +2 more
wiley +1 more source
Does the Phillips Curve Lie Down as We Age?
Abstract Using microlevel data, we present evidence that older individuals are less willing to substitute across varieties of goods. We estimate the elasticity of substitution for different age groups and find that the youngest cohort (aged 25–34) exhibits a higher elasticity of substitution compared to the oldest group (65+).
CHADWICK CURTIS +2 more
wiley +1 more source
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner +2 more
wiley +1 more source
Generalized LR Parsing and Attribute Evaluation [PDF]
This paper presents a thorough discussion of generalized LR parsing with simultaneous attribute evaluation. Nondeterministic parsers and combined parsers/evaluators are presented for the LL(0), LR(0), SKLR(0) strategies.
Oude Luttighuis, P.H.W.M., Sikkel, N.
core
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
End‐stage renal disease (ESRD) patients exhibited significant cingulate gradient dysfunction, which was significantly correlated with multiple functional domains, serum urea, and hemoglobin levels. Spatially, these alterations were correlated with genes enriched in neurodegenerative pathways.
Peng Li +12 more
wiley +1 more source
Navigating Stress: Exploring the Role of Empathy in Caregiving
ABSTRACT Stress can negatively impact caregiving behavior; while chronic stress is consistently associated with reduced caregiver sensitivity, evidence regarding acute stress remains mixed. This preregistered study examined the causal effects of acute psychosocial stress on caregiver sensitivity with an experimental pseudorandomized design.
Hannah Spencer +4 more
wiley +1 more source
Trends in Aquatic Environmental DNA Research in Alaska
Environmental DNA (eDNA) analysis is an emerging tool with significant potential to advance biomonitoring, particularly in remote and logistically challenging environments. To evaluate the state of eDNA research in Alaska, we conducted a literature review and a regional survey and results provide the first comprehensive overview of eDNA research in ...
Brandi Kamermans +6 more
wiley +1 more source
Generative Artificial Intelligence and Large Language Models in Clinical Oncology
By integrating multimodal data, including medical imaging, pathology, omics, and electronic health records, generative AI and LLMs support cancer diagnosis, treatment planning, and follow‐up management. These technologies also enhance physician–patient communication, improve personalized treatment strategies, and leverage intelligent agent automation ...
Yunfang Yu +14 more
wiley +1 more source

