Results 121 to 130 of about 282,859 (304)

Remifentanil Patient-Controlled Analgesia for Labor Analgesia at Different Cervical Dilations: A Single Center Retrospective Analysis of 1045 Cases

open access: yesMedicina
Background and Objectives: Remifentanil is a potent synthetic μ-opioid receptor agonist known for its rapid onset and ultrashort duration of action, making it a popular choice for intravenous labor analgesia.
Tatjana Stopar Pintaric   +4 more
doaj   +1 more source

Vendor Types, Attendance, Experience and Sales 2019–2021: Evidence From Five Rural Oregon Farmers Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Farmers markets provide a direct‐to‐consumer marketing path for farmers and small businesses, facilitating customer discovery and product refinement. This paper explores farmers markets as a business incubator, with a focus on beginning vendors and resilience to a shock, namely, COVID‐19 market restrictions.
Mallory L. Rahe   +2 more
wiley   +1 more source

Risk of postpartum hemorrhage with increasing first stage labor duration

open access: yesScientific Reports
With increasing rates of postpartum hemorrhage (PPH) in high-income countries, an important clinical concern is the impact of labor duration on the risk of PPH. This study examined the relationship between increasing active first stage labor duration and
Linnea V. Ladfors   +8 more
doaj   +1 more source

Return and Volatility Spillovers Among Major Cotton Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli   +3 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Effects of Elective Labor Induction and Spontaneous Onset of Labor on Caesarian Section Rate beyond Term

open access: yesMajallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2009
BACKGROUND AND OBJECTIVE: Treatment intervention due to increasing of maternal and neonatal morbidity is necessary in prolonged pregnancy. Induction of labor is common treatment for reduction of these complications.
SH Barat,, Z Basirat,, SH Modanloo
doaj  

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Job Growth During the Recovery [PDF]

open access: yes, 2010
[Excerpt] Congress in recent years passed a number of bills intended in part to jump-start a recovery in the labor market from the recession that began in December 2007.
Levine, Linda
core   +3 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

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