Results 71 to 80 of about 54,630 (220)

Do Politically Motivated Import Bans Leave Lasting Scars? Evidence From Australian–Chinese Beef Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley   +1 more source

Potential Survival Benefit of Neoadjuvant Docetaxel, Cisplatin and 5‐Fluorouracil Therapy in Patients With Esophageal Squamous Cell Carcinoma With Multiple Lymph Node Metastases: A Single‐Institute Propensity Score Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Although neoadjuvant chemotherapy with fluorouracil, cisplatin, and docetaxel (NAC‐DCF) is the current standard neoadjuvant regimen for esophageal squamous cell carcinoma, its substantial toxicity underscores the need to identify patients who derive the greatest benefit.
Eiji Higaki   +9 more
wiley   +1 more source

\u3ci\u3eBreard\u3c/i\u3e, \u3ci\u3ePrintz\u3c/i\u3e, and the Treaty Power [PDF]

open access: yes, 1999
This article considers whether the anti-commandeering principle of New York v. United States and Printz v. United States applies to exercises of the Treaty Power.
Vázquez, Carlos Manuel
core   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males   +8 more
wiley   +1 more source

Towards an Information Retrieval Theory of Everything [PDF]

open access: yes, 2009
I present three well-known probabilistic models of information retrieval in tutorial style: The binary independence probabilistic model, the language modeling approach, and Google's page rank.
Hiemstra, Djoerd
core   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

India as a Foreign Policy Actor – Normative Redux. CEPS Working Document No. 285, February 2008 [PDF]

open access: yes, 2008
This paper analyses India’s behaviour as a foreign policy actor by looking at India’s changing relations over the past decade with the EU, US, China, Japan, Myanmar, Pakistan, Nepal and, in a historical departure, the former princely state of Sikkim.
Kumar, Radha.
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

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