Canada Research Chair (CRC) is a title given to certain Canadian university research professors by the Canada Research Chairs Program..
Contract farming is one of the key indicators of agricultural modernization in a country. However, due to the lack of fair pricing and risk management mechanisms, the default rate in China’s contract farming has remained high. This paper explores the feasibility of using basis trade with option as a solution for China’s maize contract farming. Basis trade with option, based on futures prices, integrates the difference between spot and futures prices (basis) and the rights of options, incorporating pricing and risk management into spot trade. This paper employs an analytical pricing method and hedging formula suitable for American futures options in the Chinese market using the Barone-Adesi and Whaley (BAW) approach. The accuracy of the pricing model and the effectiveness of the hedging strategy, as well as their feasibility for contract farming, are comprehensively verified through Monte Carlo simulation. The results show that this solution can provide fair pricing for both parties of the contract, offer a minimum price guarantee and favorable price fluctuation benefits for the contract seller, and allow traders as contract buyers to transfer risk through hedging. This fundamentally reduces the possibility of contract default.
Objective gait assessment in Parkinson's Disease (PD) is limited by the absence of large, diverse, and clinically annotated motion datasets. We introduce CARE-PD, the largest publicly available archive of 3D mesh gait data for PD, and the first multi-site collection spanning 9 cohorts from 8 clinical centers. All recordings (RGB video or motion capture) are converted into anonymized SMPL meshes via a harmonized preprocessing pipeline. CARE-PD supports two key benchmarks: supervised clinical score prediction (estimating Unified Parkinson's Disease Rating Scale, UPDRS, gait scores) and unsupervised motion pretext tasks (2D-to-3D keypoint lifting and full-body 3D reconstruction). Clinical prediction is evaluated under four generalization protocols: within-dataset, cross-dataset, leave-one-dataset-out, and multi-dataset in-domain adaptation. To assess clinical relevance, we compare state-of-the-art motion encoders with a traditional gait-feature baseline, finding that encoders consistently outperform handcrafted features. Pretraining on CARE-PD reduces MPJPE (from 60.8mm to 7.5mm) and boosts PD severity macro-F1 by 17 percentage points, underscoring the value of clinically curated, diverse training data. CARE-PD and all benchmark code are released for non-commercial research at https://neurips2025.care-pd.ca/.
Education is a sustainable long-term measure to address the global burden of neurosurgical disease. Neurosurgery residencies in high-income countries are accredited by a regional governing body and incorporate various educational activities. Few opportunities for training may be present in low-income and middle-income countries due to a lack of neurosurgery residency programs, tuition, and health care workforce reductions. Core components of a neurosurgical training curriculum include operative room experience, clinical rounds, managing inpatients, and educational conferences. A gold standard for neurosurgical education is essential for creating comprehensive training experience, though training must be contextually appropriate.
The study of the development of structures on multiple scales in the cold interstellar medium has experienced rapid expansion in the past decade, on both the observational and the theoretical front. Spectral line studies at (sub-)millimeter wavelengths over a wide range of physical scales have provided unique probes of the kinematics of dense gas in star-forming regions, and have been complemented by extensive, high dynamic range dust continuum surveys of the column density structure of molecular cloud complexes, while dust polarization maps have highlighted the role of magnetic fields. This has been accompanied by increasingly sophisticated numerical simulations including new physics (e.g., supernova driving, cosmic rays, non-ideal magneto-hydrodynamics, radiation pressure) and new techniques such as zoom-in simulations allowing multi-scale studies. Taken together, these new data have emphasized the anisotropic growth of dense structures on all scales, from giant ISM bubbles driven by stellar feedback on $\sim$50-100 pc scales through parsec-scale molecular filaments down to $<$0.1 pc dense cores and $<$1000 au protostellar disks. Combining observations and theory, we present a coherent picture for the formation and evolution of these structures and synthesize a comprehensive physical scenario for the initial conditions and early stages of star and disk formation.
The biofilm matrix is a fortress; sheltering bacteria in a protective and nourishing barrier that allows for growth and adaptation to various surroundings. A variety of different components are found within the matrix including water, lipids, proteins, extracellular DNA, RNA, membrane vesicles, phages, and exopolysaccharides. As part of its biofilm matrix, Pseudomonas aeruginosa is genetically capable of producing three chemically distinct exopolysaccharides - alginate, Pel, and Psl - each of which has a distinct role in biofilm formation and immune evasion during infection. The polymers are produced by highly conserved mechanisms of secretion, involving many proteins that span both the inner and outer bacterial membranes. Experimentally determined structures, predictive modelling of proteins whose structures are yet to be solved, and structural homology comparisons give us insight into the molecular mechanisms of these secretion systems, from polymer synthesis to modification and export. Here, we review recent advances that enhance our understanding of P. aeruginosa multiprotein exopolysaccharide biosynthetic complexes, and how the glycoside hydrolases/lyases within these systems have been commandeered for antimicrobial applications.
