Results 171 to 180 of about 15,053,099 (290)

Predicting 3-month prognosis of cerebral venous thrombosis: a machine learning approach incorporating inflammatory markers. [PDF]

Front Neurol
Huang H, Chen F, Chen Y, Lin S, Tian X, Mu S, Li J, Hou P, Chen S, Wu C, Wei L, Wang S, Li Z.   +12 more
europepmc   +1 more source

Development of an Inchworm‐Like Dual‐Balloon‐Assisted Colonoscopic Robot Based on a Two‐Segment Extensible Continuum Section

Advanced Intelligent Systems, EarlyView.
This work presents an inchworm‐like dual‐balloon‐assisted colonoscopic robot (IDCR) based on a rod‐driven two‐segment continuum section. The IDCR enables the active straightening of the sigmoid colon through an inchworm‐like locomotion strategy, thereby avoiding loop formation.
Dezhi Song, Bohan Leng, Yi Liu, Xiangyang Yu, Chaoyang Shi   +4 more
wiley   +1 more source

Condition-Specific LC Retention Time Prediction: Feature-Selected QSRR Versus Pretrained Graph Isomorphism Network Transfer Learning. [PDF]

Int J Mol Sci
Szucs R, Sýkorová E, Boháčová I, Neri I, Morgan LM, Moriarty M, Hanna-Brown M.   +6 more
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Letter to the Editor: Free Large Language Model-based Chatbots Can Help to Align Statistical Tests with the Study Design and Avoid Pseudo-replication. [PDF]

Thorac Res Pract
Metze K, da Silva CS, Lorand-Metze I, de Mattos AC.   +3 more
europepmc   +1 more source

Forecast evaluation of small nested model sets [PDF]

We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs of a small set of alternative models that nest the benchmark.
Hubrich, Kirstin, West, Kenneth D.
core  

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

Routine Blood Indicators Combined With Sleep Questionnaires for the Identification of Cognitive Impairment in Parkinson's Disease: A Cross-Sectional Study With a Leakage-Free Nested Modeling Framework. [PDF]

Brain Behav
Wang Z, Lam T, Zhang S, Song C, Pei X, Zhong J, Li B, Liu G, Cui Y, Wang S.   +9 more
europepmc   +1 more source

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study. [PDF]

J Med Internet Res
Kravchenko O, Halvorsen M, Bäckman J, Kaldo V, Crowley JJ, Kuja-Halkola R, Rück C, Wallert J.   +7 more
europepmc   +1 more source