Results 101 to 110 of about 13,833 (241)

Enhancing Knowledge and Technology Transfer: Determinants and Indicators of Successful University–Industry Collaboration

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Both universities and companies create value and innovation to maintain their position and remain competitive. Different, but still similar, with two goals that are shared. With their collaboration, they can enhance their pursuit of sustainability and as well corporate social responsibility by creating and delivering value and thus ...
Jana Hojnik, Štefan Bojnec, Simona Kustec, Vaida Zemlickienė, Zenonas Turskis   +4 more
wiley   +1 more source

Product‐Related CSR in the Digital Era: Communication Patterns That Drive Consumer Interactions on Social Media

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT To meet rising sustainability demands, companies increasingly use social media to communicate product‐related CSR initiatives. Consumers' interactions with these messages largely depend on the messages' perceived credibility. However, there remains limited understanding of how firms combine communication characteristics into distinct patterns ...
Judith Derenthal, Waldemar Toporowski
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Intensive Multidisciplinary Intervention for Young Children With ARFID: Clinical Outcomes and Parental Experiences From a Prospective Cohort Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To assess clinical outcomes and parental experiences following an intensive multidisciplinary intervention (IMI) for children with Avoidant Restrictive Food Intake Disorder (ARFID). Method A prospective cohort of 28 children (aged 2–8 years) with severe eating difficulties, all meeting ARFID diagnostic criteria at baseline ...
Helena Holmäng, Katarzyna Brimo, Anna Ås, Lisa Dinkler, Rachel Bryant‐Waugh, Christopher Gillberg, Maria Råstam, Maj‐Britt Posserud   +7 more
wiley   +1 more source

Multivariate Trajectories of Eating Disorder Symptoms and Weight Status in 10‐ to 17‐Year‐Old Children and Adolescents

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorders (EDs) often emerge in adolescence, but developmental trajectories across different core features remain largely unclear. Method The prospective, community‐based study included N = 898 participants aged 9.5–17.5 years (47.6% female, age 11.8 ± 1.4 years) with annual follow‐up over 2–6 (3.4 ± 1.2) years.
Anja Hilbert, Danielle Schewe, Andreas Hiemisch, Antje Körner, Wieland Kiess, Ricarda Schmidt   +5 more
wiley   +1 more source

An Experience‐Sampling Study on the Frequency and Diversity of Positive and Negative Affective States

European Journal of Social Psychology, EarlyView.
ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Promoting Rational Risk Engagement Through Feedback in a Gambling-Analog Learning Environment: A Pilot Study. [PDF]

Int J Environ Res Public Health
Cong Y, Wang Z.
europepmc   +1 more source

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

Energy Science &Engineering, EarlyView.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu, Min Liu, Yang Peng, Haiqiang Zhao, Yuanda Wu, Yongyuan Tian   +5 more
wiley   +1 more source