Results 111 to 120 of about 33,807 (240)

Organized Crime, Corruption, and Economic Growth

Journal of Regional Science, Volume 65, Issue 2, Page 535-560, March 2025.
ABSTRACT In this paper, we study the relationship between organized crime, corruption, and economic growth on a data set from Italian regions for the period 1996–2013. Our working hypothesis is that organized crime can embezzle part of the public expenditure aimed at productive uses by threatening and bribing public officers. To assess the consequences
Tamara Fioroni, Andrea Mario Lavezzi, Giovanni Trovato   +2 more
wiley   +1 more source

Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet

Sensors
The application of intelligent video monitoring for natural resource protection and management has become increasingly common in recent years. To enhance safety monitoring during the grazing prohibition and rest period of grassland, this paper proposes a
Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li   +7 more
doaj   +1 more source

Statistical Shape Modeling of the Clavicle: Morphological Variation, Sex Differences, and Surgical Implications

Orthopaedic Surgery, EarlyView.
In 288 Asian adult clavicles, the first six PCA modes explained 82.38% of shape variance. Morphology showed significant sex differences without side asymmetry, and data‐driven clustering poorly matched the traditional three‐type scheme, supporting individualized planning and implant design.
Gang Zhang, Ming Hao, Jiaxi Wang, Kun Wang, Mingjin Zhang, Xiuyun Su, Qi Yao   +6 more
wiley   +1 more source

Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu, Leonardo Feltrin, Eleanor C. R. Green   +2 more
wiley   +1 more source

PiP‐Plex: A Particle‐in‐Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells

Advanced Materials, Volume 38, Issue 13, 3 March 2026.
Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier, Byeong‐Ui Moon, Mojra Janta‐Polczynski, Yonatan Morocz, Fabian Svahn, Molly Shen, Ljuboje Lukic, Lidija Malic, Teodor Veres, Andy Ng, David Juncker   +10 more
wiley   +1 more source

Implementing plasma p‐tau217 and cognitive testing for Alzheimer's screening in low‐education populations in central China

Alzheimer's &Dementia, Volume 22, Issue 3, March 2026.
Abstract INTRODUCTION We evaluated a pragmatic screening strategy combining brief cognitive assessment with plasma phosphorylated tau217 (p‐tau217) in an elderly health screening cohort. METHODS Participants completed the Memory and Executive Screening (MES) test and plasma biomarker assessment.
Shuai Chen, Xiaodi Hao, Kai Ma, Rong Li, Changming Wen, Xinsheng Han, Wenquan Zheng, Shiwang Ruan, Shude You, Wenfeng An, Zhihui Qi, Kai Wang, Wenlong He, Zhihui Duan, Fengyu Wang, Junkui Shang, Lin Cao, Yibin Hao, Jiewen Zhang   +18 more
wiley   +1 more source

Information‐Driven Modeling of Energy Markets: An Unbalanced Wasserstein Barycenter Approach

Applied Stochastic Models in Business and Industry, Volume 42, Issue 2, March/April 2026.
ABSTRACT A novel methodology is proposed for jointly modeling the price dynamics of natural gas and electricity by integrating graph‐based Machine Learning and optimal transport theory. The framework combines visibility graph embeddings with the Wasserstein barycenter to uncover latent structures and asymmetric dependencies between the two ...
Carlo Mari, Emiliano Mari, Cristiano Baldassari   +2 more
wiley   +1 more source

A Measurement Error Model Based on Finite Mixture of the Skew-Normal Distributions for Brain MR Image Segmentation

IEEE Access
The accuracy of medical image segmentation plays a crucial role in assisting with diagnosis. One commonly used method is the Gaussian mixture model (GMM) due to its high accuracy and low complexity.
Kaili Zhang, Xiaoxu Zhu
doaj   +1 more source

Does ESG Investing Pay off? Comparing the Performance of ESG and Traditional ETFs Across European and US Markets

Business Strategy and the Environment, Volume 35, Issue 3, Page 3561-3606, March 2026.
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro, Andrea Martínez‐Salgueiro, Rubén Lado‐Sestayo, Milagros Vivel‐Búa   +3 more
wiley   +1 more source

Segmentation and Classification of Welding Beads on Shear Reinforcement With Dual Anchorage Using Deep Learning Models

Engineering Reports, Volume 8, Issue 3, March 2026.
This research develops a deep learning model for the automated segmentation and quality classification of welding beads on shear reinforcements with dual anchorage, enhancing inspection reliability and efficiency in construction ABSTRACT Automated visual inspection in industrial manufacturing requires robust and efficient instance segmentation systems ...
John Mlyahilu, Jongnam Kim
wiley   +1 more source