Results 51 to 60 of about 59,338 (261)

Predicting and Preventing Turnover in Industry 4.0: Understanding the Impact of Artificial Intelligence Adoption on Employee Turnover

Human Resource Development Quarterly, EarlyView.
ABSTRACT With the increasing adoption of Artificial Intelligence (AI) in the workplace, employees' career paths have become more diverse and less predictable in the era of Industry 4.0. As technological transformations accelerate, employee turnover patterns are also changing, as reflected in the growing prevalence of occupational transitions and large ...
Young‐Kook Moon, Tanya Mitropoulos
wiley   +1 more source

Casus 2 - Een familie niet op één lijn

Handelingen, 2013
Op de intensive care ligt een meisje van 17 jaar, met Surinaamse ouders. Negen jaar geleden kreeg ze een oncologische ziekte en als gevolg van chemotherapieën heeft ze een dwarslaesie.Momenteel heeft ze na een beenmergtransplantatie last van ernstig ...
doaj   +1 more source

PEMBUATAN HAAR-CASCADE DAN LOCAL BINARY PATTERN SEBAGAI SISTEM PENDETEKSI HALANGAN PADA AUTOMATIC GUIDED VEHICLE

Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2018
Automatic Guided Vehicle (AGV) merupakan salah satu jenis robot yang bekerja mengikuti suatu jalur. Dalam penelitian ini, AGV digunakan di lingkungan perkantoran kampus.
Riza Agung Firmansyah, Enggar Alfianto
doaj   +1 more source

Gendered Pathways to Work–Family Balance and Their Consequences: Insights From Dual‐Career Faculty Couples

Human Resource Development Quarterly, EarlyView.
ABSTRACT This study examines gendered work–family balance (WFB) experiences among dual‐career academic couples at U.S. research‐intensive universities. By comparing faculty couples who shared the same or similar professional and family contexts, the study explores how gendered demands, challenges, resources, and strategies shaped distinct WFB outcomes.
Kyung Nam Kim, Shinhee Jeong
wiley   +1 more source

Formalized Haar Measure

CoRR, 2021
16 pages (excluding references)
openaire   +4 more sources

Fast Haar Transforms for Graph Neural Networks [PDF]

Neural Networks, 2019
Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-structured data.
Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang   +3 more
semanticscholar   +1 more source

Pancreatic Cancer Early Detection Biomarkers for High‐Risk Individuals: Insights From the PRECEDE Consortium

International Journal of Cancer, EarlyView.
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers due to its asymptomatic progression, late‐stage diagnosis, and treatment resistance. Efforts in early detection have centered on identifying imaging features and liquid biopsy biomarkers capable of detecting PDAC and its high‐grade precursors before clinical symptoms ...
Christine Worthington, Maria Raitses‐Gurevich, Giulio Innamorati, Phil A. Hart, Thomas M. Wilkie, Noam Tau, Dana Brin, Doron Yablecovitch, Ido Laish, Dove Keith, Kurt Giles, Jennifer B. Permuth, Diane M. Simeone, George Zogopoulos, Randall E. Brand, John J. Graff, Julie Earl, On behalf of the PRECEDE Consortium, Nikhil Agarwal, Laufey Amundadottir, Michelle Anderson, Ajay Bansal, Todd Bauer, Georg Beyer, Yan Bi, Erkut Borazanci, Randy Brand, Teri Brentnall, Carol Burke, Darren Carpizo, Saurabh Chawla, Daniel Chung, Sourat Darabi, Michael Demeure, Timothy Donahue, Julie Earl, Whitney Espinel, James Farrell, Vigdís Fjóla Stefánsdóttir, Jared Forrester, Eitan Friedman, Paul Franklin, Srinivas Gaddam, Ana García García de Paredes, Steven Gallinger, Talia Golan, Ora Gordon, Robert Grant, William Greenhalf, Eli Marie Grindedal, Aaron Grossberg, Brenda Hafers, Heather Hannon, Sigurdís Haraldsdóttir, Stefán Haraldsson, Peter Hegyi, Melissa Hogg, Amy de Haar‐Holleman, Susan Hong, Greg Idos, Edward Kim, Fay Kastrinos, Bryson Katona, Vivek Kaul, Derk Klatte, Kelsey Klute, Kimberly Ku, Sonia Kupfer, Rich Kwon, Rosario Ligresti, James James Lin, Wei‐Chih (David) Liao, Aimee Lucas, Nipun Merchant, Andrew Metz, Whitney Maxwell, James McLoughlin, Sodech Miclette, Xavier Molero, Leticia Moreira, Takuji Okusaka Chigusa Morizane, Joanne Ngeow, Salvatore Paiella, Jennifer Permuth, Maricel Purcell, Joshua Raff, Vineet Rolston, Intan Schrader, Rosie Sears, Yan‐Shen Shan, Diane Simeone, Jens Siveke, Brett Sheppard, Tyler Stevens, Elena Stoffel, Dan Sussman, Margaret Tempero, Jose Trevino, Jennifer Valerin, Eva Vaquero, Ray Wadlow, Garrett Ward, David Weinberg, Ronald Wolf, Dana Zakalik, George Zogopoulos   +105 more
wiley   +1 more source

Samen kom je er wel. Een afstudeerartikel over het Skejby halfway house: een huis waar delinquenten en studenten onder één dak wonen

Journal of Social Intervention, 2016
Together you will get there. A graduation article on the Skejby halfway house: a house where delinquents and students live togetherThe Skejby house is unique and produces remarkable results.
Eline Broker
doaj   +1 more source

Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach

Journal of Organizational Behavior, EarlyView.
ABSTRACT Teams that combine human intelligence with artificial intelligence (AI) have become indispensable for solving complex tasks in various decision‐making contexts in modern organizations. However, the factors that contribute to AI convergence, where human team members align their decisions with those of their AI counterparts, still remain unclear.
Andria Smith, Hunter Phoenix van Wagoner, Ksenia Keplinger, Can Celebi   +3 more
wiley   +1 more source

The Haar measure problem

Proceedings of the American Mathematical Society, 2018
To appear in Proceedings of the ...
Adam Przeździecki, Szewczak, Piotr, Tsaban, Boaz   +2 more
openaire   +2 more sources