Results 51 to 60 of about 1,685 (168)

Optimization of Linear Seismic Isolation Parameters via Crow Search Algorithm

Pamukkale University Journal of Engineering Sciences, 2020
In this study, isolation parameters of a seismic isolated structure were optimized via crow search algorithm (CSA). A shear frame model was generated with a base isolation system. The aim is to obtain isolation system parameters that result the minimum roof acceleration without exceeding the isolator displacement limits. The Matlab program was used for
ÇERÇEVİK, Ali Erdem, AVŞAR, Özgür
openaire   +4 more sources

Race‐related research in economics

Economica, Volume 93, Issue 370, Page 403-438, April 2026.
Abstract Issues of racial justice and economic inequalities between racial and ethnic groups have risen to the top of public debate. Economists' ability to contribute to these debates is based on the body of race‐related research. We study the volume and content of race‐related research in economics.
Arun Advani, Elliott Ash, Anton Boltachka, David Cai, Imran Rasul   +4 more
wiley   +1 more source

Hybridization of Grey Wolf Optimizer and Crow Search Algorithm Based on Dynamic Fuzzy Learning Strategy for Large-Scale Optimization

IEEE Access, 2020
A novel optimization algorithm named hybrid grey wolf optimizer with crow search algorithm (GWO-CSA) is developed in this paper for handling large-scale numerical optimization problems.
Rizk Masoud Rizk-Allah, Adam Slowik, Aboul Ella Hassanien   +2 more
doaj   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

Advanced Healthcare Materials, Volume 15, Issue 11, 20 March 2026.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi   +12 more
wiley   +1 more source

Disentangling the effects of multifunctional forestry practices on the abundances of birds and their invertebrate prey

Ecological Applications, Volume 36, Issue 2, March 2026.
Abstract European forests are increasingly managed to harmonize production goals with biodiversity conservation, through practices such as retention and close‐to‐nature forestry. Forest birds may benefit from these practices, but it remains unclear how the effects of different management practices compare, and whether responses to management are driven
João Manuel Cordeiro Pereira, Sara Klingenfuß, Marco Basile, Julian Frey, Grzegorz Mikusiński, Ilse Storch   +5 more
wiley   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

Engineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil, P. Vishwanath, S. M. Anowarul Haque   +2 more
wiley   +1 more source

Work Has Changed, Has HRM? Designing for the Distributed, Fragmented, and Fluid Era

Human Resource Management, Volume 65, Issue 2, Page 305-324, March/April 2026.
ABSTRACT This paper addresses the growing misalignment between traditional human resource management (HRM) systems and the realities of distributed, fluid, and fragmented work. To address this issue, we introduce the FLUID‐HRM framework—a layered design architecture that reconfigures core HRM domains (resourcing, rewards, development, relations, work ...
Černe Matej, Lamovšek Amadeja
wiley   +1 more source

Complex-Valued Ordinary Differential Equation Modeling for Time Series Identification

IEEE Access, 2019
Time series identification is one of the key approaches to dealing with time series data and discovering the change rules. Therefore, time series forecasting can be treated as one of the most challenging issues in this field.
Bin Yang, Wenzheng Bao
doaj   +1 more source

Pigeons, portals, and Pacman: Insightful problem solving and navigation using a touchscreen video game

Journal of the Experimental Analysis of Behavior, Volume 125, Issue 2, March 2026.
Abstract Video games have been used in several studies to investigate problem solving. We present empirical findings from a redesigned touchscreen navigation “grid‐world” procedure resembling the classic video game PacMan (hereafter, “pacman”) played by pigeons. Our objective was to develop a procedure to study insight, similar to that of Epstein et al.
Rafael S. Rodrigues, Cyrus Kirkman, Miriam Garcia‐Mijares, Aaron P. Blaisdell   +3 more
wiley   +1 more source

Systematic Review and Meta‐Analysis of Mortality in Patients With Anorexia Nervosa

International Journal of Eating Disorders, Volume 59, Issue 3, Page 424-449, March 2026.
ABSTRACT Objective Anorexia nervosa (AN) has one of the highest mortality rates among psychiatric disorders. This systematic review and meta‐analysis examined the all‐cause mortality of AN patients compared to the general population using the standardized mortality ratio (SMR).
Eric Tsz‐Him Lai, Benjamin Lai, Corine Sau‐Man Wong, Lai‐Yi Wong, Kin‐Shing Cheng, Pak‐Wing Calvin Cheng, Lo Heidi Ka‐Ying, Gary Tse, Wai‐Chi Chan, Wing‐Chung Chang, Ka‐Fai Chung   +10 more
wiley   +1 more source