Results 31 to 40 of about 3,450 (232)

Discrete components of stress impact trajectories of childhood irritability but not adolescent mental health outcomes

JCPP Advances, EarlyView.
Thick red line indicates positive mixture effect of stressors predicting high irritability class. Maternal demoralization, material hardship, maternal perceived stress, and intimate partner violence contributed to the mixture effect (thick borders on boxes).
Mariah DeSerisy, Huiyu Yang, Jacob W. Cohen, David Pagliaccio, Julie B. Herbstman, Bradley S. Peterson, Frederica P. Perera, Virginia Rauh, Amy E. Margolis   +8 more
wiley   +1 more source

Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las Vegas

Land
Over the past two decades, research on residential segregation and environmental justice has evolved from spatial assimilation models to include class theory and social stratification.
Jingyi Liu, Yuxuan Cai, Xiwei Shen
doaj   +1 more source

From Survival to Growth: Digital Strategies for Micro and Small Enterprises

Strategic Change, EarlyView.
ABSTRACT This study investigates the critical factors influencing Digital Transformation (DT) in micro, small, and medium enterprises (MSMEs) within the post‐pandemic context. Data were collected through an online survey of 341 respondents and analyzed using Partial Least Square Structural Equation Modeling (PLS‐SEM).
Andrej Přívara, Arief Rahman, Ivana Ognjanović, Amir Hasnaoui, Virginie Hachard   +4 more
wiley   +1 more source

Microbial communities and functional diversity in seafood

JSFA reports, EarlyView.
Abstract Functional diversity encompasses ecosystem processes that enhance adaptability to environmental change. This study explores the diversity of microorganisms associated with seafood. In this paper, we present our knowledge of microbial diversity in relation to seafood.
Christian Larbi Ayisi, Samuel Ayeh Osei, Grace Afumwaa Boamah, Gertrude Dzifa Mensah   +3 more
wiley   +1 more source

Qualitative Analysis of Student Reflections on Preclinical Dental Implant Education

Dentistry Journal
Dental implant education is required to prepare students for independent general practice. This investigation aimed to assess students’ perceptions of their educational experience and training in a preclinical dental implant introduction course, using ...
Hassan Ziada, Michael Webberson, Rassilee Sharma, Neamat Hassan Abubakr   +3 more
doaj   +1 more source

THE ENTREPRENEURIAL LEADER: FROM CONTROL TO CREATION

Leader to Leader, EarlyView.
Abstract The author is Managing Partner of Desert Forge Ventures, and the former president of both Claremont Graduate University and the University of Nevada, Las Vegas (UNLV). He reflects on his long career “as a professor, business school dean, and university president, and now as an investor working with founders and investors across many sectors ...
Len Jessup
wiley   +1 more source

Recent Advances (2023–2025) of Capillary Electrophoresis‐Mass Spectrometry (CE‐MS) for Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Top‐down proteomics (TDP) characterizes proteoforms in cells, tissues, and biofluids, in discovery mode and on a global scale, requiring analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection, given the extremely high proteoform complexity and wide proteoform concentration dynamic range.
Guijie Zhu, David A. Alvarez Rodriguez, Noah Gould, Alexander R. Ivanov, Kevin Jooß, Liangliang Sun   +5 more
wiley   +1 more source

A Hybrid machine learning–statistical based method for short-term energy consumption prediction in residential buildings

Energy and AI
Accurate short-term load forecasting is essential for modern power systems, enabling efficient energy management and supporting grid reliability amid increasing demand and variable weather conditions.
Kamran Hassanpouri Baesmat, Emma E. Regentova, Yahia Baghzouz   +2 more
doaj   +1 more source

Clinical Progression in Alpha‐Synuclein Positive LRRK2‐PD and Sporadic Parkinson's Disease: A Longitudinal Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background LRRK2‐Parkinson's disease (LRRK2‐PD) is biologically heterogeneous with approximately 30% lacking aggregated alpha synuclein (αSyn) in cerebrospinal fluid by seed amplification assay (SAA). Prior work has suggested slower progression in LRRK2‐PD compared to sporadic PD (sPD).
Lucy A. Morse, Seung Ho Choi, Caroline Gochanour, David‐Erick Lafontant, Lana M. Chahine, Kalpana M. Merchant, Barbara Wendelberger, Tanya Simuni, The Parkinson's Progression Markers Initiative, Kenneth Marek, Tanya Simuni, Andrew Siderowf, Caroline Tanner, Thomas F. Tropea, Tatiana Foroud, Lana Chahine, Brit Mollenhauer, Kalpana Merchant, Douglas Galasko, Christopher Coffey, Kathleen Poston, Roseanne Dobkin, Ethan Brown, Roy Alcalay, Dan Weintraub, Emily Flagg, Kimberly Fabrizio, Susan Bressman, Cornelis Blauwendraat, Paola Casalin, Sonya Dumanis, Raymond James, Karl Kieburtz, Sneha Mantri, Werner Poewe, Michael Schwarzschild, John Seibyl1, David Standaert, Duygu Tosun‐Turgut, Sohini Chowdhury, Jamie Eberling, Mark Frasier, Leslie Kirsch, Katie Kopil, Maggie Kuhl, Alyssa O'Grady, Todd Sherer, Tawny Willson, Emily Flagg, Tanya Simuni, Bridget McMahon, Craig Stanley, Kim Fabrizio, Dixie Ecklund, Christine Kohnen, Tatiana Foroud, Laura Heathers, Christopher Hobbick, Gena Antonopoulos, Imaging Core, John Seibyl, Kathleen Poston, Christopher Coffey, Chelsea Caspell‐Garcia, Michael Brumm, Arthur Toga, Karen Crawford, Tatiana Foroud, Jan Hamer, Biologics Review Committee, Brit Mollenhauer, Doug Galasko, Kalpana Merchant, Genetics Core, Andrew Singleton, Pathology Core, Tatiana Foroud, Dirk Keene, Caroline Tanner, Ethan Brown, PPMI Online, Carlie Tanner, Ethan Brown, Lana Chahine, Roseann Dobkin, Monica Korell, Neha Prakash, Tanya Simuni, Nabila Dahodwala, Caroline Tanner, Lana Chahine, Brit Mollenhauer, Sebastian Schade, Douglas Galasko, Anat Mirelman, Roy Alcalay, Katherine Leaver, Marie Saint‐Hilaire, Ruth Schneider, Christopher Tarolli, Werner Poewe, Aleksandar Videnovic, David Standaert, Marissa Dean, Sonja Jonsdottir, Rejko Krueger, Claire Pauly, Stewart Factor, Penelope Hogarth, Robert Hauser, Amy Amara, Michelle Fullard, Cyrus Zabetian, Hubert Fernandez, Kathrin Brockmann, Isabel Wurster, Yen Tai, Paolo Barone, Stuart Isaacson, Alberto Espay, Eduardo Tolosa, Javier Ruiz Martinez, Leonidas Stefanis, Kelvin Chou, Lorraine Kalia, Connie Marras, David Grimes, Tiago Mestre, Rajesh Pahwa, Mark Lew, Holly Shill, Shyamal Mehta, Giulietta Riboldi, Nikolaus McFarland, Ron Postuma, Zoltan Mari, David Ledingham, Nicola Pavese, Michele Hu, Norbert Brueggemann, Christine Klein, Bastiaan Bloem, Cristina Simonet, Alastair Noyce, Anette Janzen, David Pedrosa, Wolfgang Oertel, Njideka Okubadejo, David Shprecher, Arjun Tarakad, Emile Moukheiber, Joy Antala, Carla Aranda, Karen Williams, Sophia Melton, Karina Benson, Ashwini Ramachandran, Danielle Potts, Grace LaMoure, Ritikha Vengadesh, Ryan Manzler, Jaime Heller, Primi Ranola, Farah Kausar, Sherri Mosovsky, Diana Willeke, Elizabeth Kalinkara Gomez, Janelle Rodriguez, Nobuko Kemmotsu, May Eshel, Deborah Raymond, Abigail Desrosiers, Raymond James, Lauren Jackson, Iris Egner, Wesley Schlett, Courtney Blair, Lauren Ruffrage, Berenice Sevilla, Barbara Sommerfeld, Dustin Le, Erica Botting, Gabriella Mazur, Daniele Derlein, Evan Doll, Ying Liu, Ciera Cobb, Olivia Masiewicz, Jennifer Mule, Michael Morsillo, Ella Hilt, Aldazier Jakiran, Dominga Valentino, Lisbeth Pennente, Bobbie Stubbeman, Alicia Garrido, Valeria Ravasi, Ioana Croitoru, Christos Koros, Nikolas Papagiannakis, Frank Ferrari, Mengyu Zheng, Shawna Reddie, Alicia Alejandra, Andrea Gray, Alejandra Valenzuela, Caitlin Goodman, Sara Dresler, Neil Santos, Fahrial Esha, Kyle Rizer, Nadine Zablith, Liliana Dumitrescu, Debra Galley, Victoria Kate Foster, Jamil Razzaque, Madita Grümmer, Yara Krasowski, Natalie Donkor, Elisabeth Sittig, Oluwadamilola Ojo, Kelly Clark, Rory Mahabir, Kori Ribb, Shamera Willoughby   +224 more
wiley   +1 more source

Cross-Scale U-Net: A Deep Transfer Learning Framework for Automated High-Resolution Urban Land Cover Mapping

Buildings
Accurate and scalable urban land cover mapping is critical for sustainable urban planning and environmental management. While deep learning models offer powerful tools for this task, their performance is often constrained by the need for vast, manually ...
Zhe Wang, Chao Fan, Shoukun Sun, Haifeng (Felix) Liao, Min Xian, Xiaogang Ma, Xiang Que   +6 more
doaj   +1 more source