Results 201 to 210 of about 59,360 (254)

A Test of the Coase Conjecture Using Prices of Electronic Books

Southern Economic Journal, EarlyView.
ABSTRACT The Coase Conjecture predicts that a durable‐goods monopolist without commitment will rapidly cut price toward marginal cost. We test this prediction in the electronic‐book market using release‐day prices. To proxy for marginal cost, we use competitive prices of public‐domain electronic books on the same platforms.
Tim Groseclose, Alex Tabarrok
wiley   +1 more source

Cost-effectiveness of laser peripheral iridotomy in the treatment of primary angle closure suspect in China: a Markov model. [PDF]

BMC Health Serv Res
Xia J, Wang L, Xu L, Pan X, Song D.
europepmc   +1 more source

Expanding the Limits of Robotic Thyroidectomy: Management of a Rare Presentation of Thyroid Carcinoma With Supraglottic Extension

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Thyroid carcinoma ranks as the seventh most common malignancy globally by incidence, though its mortality remains relatively low. We present a rare case of papillary thyroid carcinoma in a 32‐year‐old male, with supraglottic extension of the right thyroid lobe, managed successfully using a robotic‐assisted bilateral axillo‐breast approach ...
Surender Dabas, Shivya Chopra, Reetesh Ranjan, Bikas Gurung, Nandini Menon, Sukirti Tiwari, Daksh Goel, Shivani Rewari   +7 more
wiley   +1 more source

Reply: Respiratory burden in post-acute COVID-19 sequelae: a longitudinal study. [PDF]

ERJ Open Res
Chiu MN, Zhang K, Ho T, Balakrishnan N, Mukherjee M.   +4 more
europepmc   +1 more source

Multi‐Sequence Fusion MRI Deep Learning Models for Discrimination of Recurrent Nasopharyngeal Carcinoma and Osteoradionecrosis

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives To develop a multi‐sequence fusion model based on MRI images to differentiate between recurrent nasopharyngeal carcinoma (rNPC) and osteoradionecrosis (ORN) in patients with nasopharyngeal carcinoma (NPC) after radiotherapy, and to evaluate its diagnostic performance.
Wen‐Tao Gong, Xue‐Li Liu, Xiao Chen, Zhen Li, Ming‐Yan Qiu, Shang Shi, Xuan‐Yu Zhao, Li Wang, Quan Liu, Xi‐Cai Sun, Yu‐Xuan Shi, Hong‐Meng Yu   +11 more
wiley   +1 more source

Respiratory burden in post-acute COVID-19 sequelae: a longitudinal study. [PDF]

ERJ Open Res
d'Espiney R, Watchorn DC.
europepmc   +1 more source

Perioperative Outcomes of Patients With Pancreatic Neuroendocrine Neoplasms in the Context of Different Body Composition Phenotypes

World Journal of Surgery, EarlyView.
Pancreatic neuroendocrine neoplasms (pNEN) are rare and heterogeneous tumors with increasing incidence. While surgical resection remains the only curative treatment, perioperative outcomes are influenced by patient‐related risk factors. Recent research highlights body composition (BC) as a prognostic marker in oncological and transplantation surgery ...
Fabiola A. Bechtiger, Mariah Herbrich, Hazem K. A. A. Hassan, Jörg Kaiser, Thomas Hank, Magdalena Lewosinska, Deniz Uluk, Osman Öcal, Nicole D. Hildebrand, Steven WM Olde Damink, Franck Billmann, Zoltan Czigany, Mohammed Al‐Saeedi   +12 more
wiley   +1 more source

A New Regulatory Pathway of Cell Cycle Arrest Governs Tubular Cell Fate and Fibrosis Development. [PDF]

J Am Soc Nephrol
Klinkhammer BM, Boor P.
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao, Xiangtao Zheng, Jianhua Tao, Xiaoqiang Lu   +3 more
wiley   +1 more source