Results 171 to 180 of about 114,074 (272)
Embracing Complexity in HRM Research: A Call for System and Process Perspectives
Human Resource Management, EarlyView.ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley +1 more source
Exploring the Laplace Prior in Radio Tomographic Imaging with Sparse Bayesian Learning towards the Robustness to Multipath Fading. [PDF]
Sensors (Basel), 2019 Wang Z, Guo X, Wang G.
europepmc +1 more source
Biodiversity as a Dominant Force in Shaping Ethnic Music Styles 生物多样性:塑造民族音乐风格的主导力量
Integrative Conservation, EarlyView.Our findings show that plant, bird, and mammal diversity considerably shape musical features such as vocal range and ornamental sounds, more so than geography or lifestyle. Our study provides the first empirical evidence linking biodiversity to ethnic music styles. Protecting biodiversity, the musical and cultural will be protected.
Wenchen Song, Yifan Xue, Rui Li
wiley +1 more source
Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps. [PDF]
PLoS One, 2019 Li X, Li T, Wu J, Xie Z, Shi J.
europepmc +1 more source
JCPP Advances, EarlyView.Abstract Background Children growing up in low‐resource settings are at greater risk for lifelong psychiatric problems. They are both more likely to have risk factors for early psychopathology and to be less likely to seek help and engage support for these problems.
Julia E. Michalek +4 more
wiley +1 more source
Journal of Intelligent Medicine, EarlyView.Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif +2 more
wiley +1 more source
Journal of Organizational Behavior, EarlyView.ABSTRACT Developments such as digitalization and remote work increasingly decentralize traditional work environments, shifting professional interaction from physical to virtual spaces. This shift may blur traditional boundaries between individuals' roles within and beyond the workplace and consequently heighten the influence of cues that signal ...
Sophie Feldner +2 more
wiley +1 more source
SPARSE BAYESIAN LEARNING BOOSTED BY PARTIAL ERRONEOUS SUPPORT KNOWLEDGE. [PDF]
Conf Rec Asilomar Conf Signals Syst Comput, 2016 Shekaramiz M, Moon TK, Gunther JH.
europepmc +1 more source
JEADV Clinical Practice, EarlyView.ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
SPARSE BAYESIAN LEARNING USING VARIATIONAL BAYES INFERENCE BASED ON A GREEDY-BASED CRITERION. [PDF]
Conf Rec Asilomar Conf Signals Syst Comput, 2018 Shekaramiz M, Moon TK, Gunther JH.
europepmc +1 more source