Results 91 to 100 of about 34,052 (223)

Lobbying and Political Risk Disclosure: Do Socially Responsible Firms Voluntarily Disclose More?

British Journal of Management, EarlyView.
Abstract Drawing on theories of strategic communication, legitimacy, impression management and moral capital, this study investigates whether firms use political risk disclosure to offset negative perceptions associated with corporate lobbying. Using a sample of 10,120 observations from 1362 US firms between 2002 and 2018, we find that firms with ...
Maretno A. Harjoto, Indrarini Laksmana, Hoyoung Kim, Sergio Garcia‐Vega, Andreas G.F. Hoepner   +4 more
wiley   +1 more source

A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects

Scientific Reports
Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection.
Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang   +4 more
doaj   +1 more source

Provenance Analysis Based on Cluster In‐Betweenness and Support Vector Machines: Identifying Migrant Candidates Using Multi‐Isotope Fingerprints

Archaeometry, EarlyView.
ABSTRACT Provenance reconstruction using strontium and lead stable isotopes can produce complex multidimensional fingerprints, challenging traditional methods. Identifying nonlocals, who migrated between sites, is a major task. Migrants are identifiable by divergent multi‐isotope fingerprints due to isotopic mixing between origin and destination sites.
Andrea Göhring, Daniyal Kazempour, Jan Robert Bensien, Sweety Mohanty, Claudius Zelenka, Matthias Renz, Peer Kröger, Gisela Grupe, Amei Lang   +8 more
wiley   +1 more source

Bayesian Mixture Model for Prediction of Bus Arrival Time

International Journal of Technology, 2015
Providing travelers with accurate bus arrival time is an essential need to plan their traveling and reduce long waiting time for buses. In this paper, we proposed a new approach based on a Bayesian mixture model for the prediction.
Misbahuddin, Riri Fitri Sari
doaj   +1 more source

ReMoDe – Recursive modality detection in distributions of ordinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt, Lourens Waldorp, Javier Garcia‐Bernardo, Han van der Maas   +3 more
wiley   +1 more source

Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Biomimetics
In the current scenario, liver abnormalities are one of the most serious public health concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases.
Karthikamani Ramamoorthy, Harikumar Rajaguru   +1 more
doaj   +1 more source

Underwater Image Segmentation with the GMM (Gaussian Mixture Model) Algorithm

JSAI (Journal Scientific and Applied Informatics)
The purpose of this study was to measure the performance of Gaussian Mixture Model (GMM) technique for underwater image segmentation of seagrass objects based on datasets from autonomous surface vehicles (ASV from the Faculty of Fisheries and Marine Sciences, Bogor Agricultural University.
openaire   +1 more source

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Exploring a Subpopulation of MASLD Associated With New Onset of CKD Using Supervised Clustering Techniques

Hepatology Research, EarlyView.
The supervised clustering of metabolic dysfunction‐associated steatotic liver disease (MASLD) using a SHapley Additive exPlanations (SHAP)‐converted matrix reveals distinct subpopulations that improved risk stratification for new onset of chronic kidney disease (CKD).
Itaru Hosaka, Marenao Tanaka, Tatsuya Sato, Yukinori Akiyama, Keitaro Nishizawa, Rie Matsumori, Hiroki Aida, Wataru Kawaharata, Kei Nakata, Koki Abe, Toru Suzuki, Hidemichi Kouzu, Naoya Yama, Nagisa Hanawa, Masato Furuhashi   +14 more
wiley   +1 more source

L3 Regressive Transfer: A Study of Null Objects in the Basque and Spanish Grammars of Advanced L3 English Speakers

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Regressive transfer has been a subject that has not been extensively researched in the field of third language acquisition. This study aims to examine the extent to which a highly advanced knowledge of a third language (L3) affects the first language (L1) and the second language (L2) of early bilinguals in light of the Differential Stability ...
Maddi Alkain Arizmendi, María del Pilar García Mayo, Leona Polyanskaya   +2 more
wiley   +1 more source