This paper presents a latent variable structured prediction model for discriminative supervised clustering of items called the Latent Left-linking Model (LM). We present an online clustering algorithm for LM based on a feature-based item similarity function. We provide a learning framework for estimating the similarity function and present a fast stochastic gradient-based learning technique. In...

Software-controlled local memories (LMs) are widely used to provide fast, scalable, power efficient and predictable access to critical data. While many studies addressed LM management, keeping hot data in the LM continues to cause major headache. This paper revisits LM management of arrays in light of recent progresses in register allocation, supporting multiple live-range splitting schemes thr...

OBJECTIVES Patients with occipital neuralgia are often refractory to or intolerant of standard pharmacological and interventional management strategies. Although occipital nerve stimulation (ONS) may provide a unique alternative for such cases, a steep technical learning curve still exists. Lead migration (LM) is among the most challenging issues facing implanters performing ONS implantation. W...

Alzheimer's disease (AD) is characterized by cognitive decline and neuronal network dysfunction, but the underlying mechanisms remain unknown. In the hippocampus, microcircuit activity during learning and memory processes is tightly controlled by O-LM interneurons. Here, we investigated the effect of beta-amyloidosis on O-LM interneuron structural and functional connectivity, combining two-phot...

Leptomeningeal carcinomatosis (LM) is an infrequent yet morbid and often fatal complication of non-small cell lung cancer (NSCLC). Management of LM is multimodal, often involving systemic chemotherapy, radiotherapy, and a variety of symptom management maneuvers to address elevated intracranial pressure, pain, and mood changes that can accompany the disease. It is increasingly recognized that tu...

IMPORTANCE Lentigo maligna (LM) is a clinical, pathologic, and therapeutic challenge with a higher risk of local recurrence than other types of melanoma correctly treated and also carries the cosmetically sensitive localization of head and neck. OBJECTIVE To determine whether in vivo reflectance confocal microscopy (RCM) mapping of difficult LM cases might alter patient care and management. ...

This paper presents the pedagogical usability criteria for evaluating the digital learning material. Pedagogical aspects of designing or using digital learning material are much less frequently studied than technical ones. Further, there are relatively few inventories measuring subjective end-user satisfaction with the pedagogical aspects of digital learning material and not a single inventory ...

This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM. First, the weight functions of the PNNs are specified as the generalized Gaussian mixture functions (GGMFs). Second, a PSO algorithm is used to optimize the parameters, such as the order of GGMFs, the number of hidden neurons,...

This document proposes the Learning Mechanics-Game Mechanics (LM-GM) model, which supports SG analysis and design by allowing reflection on the various pedagogical and game elements in a SG. The LM-GM model includes a set of pre-defined game mechanics and pedagogical elements that we have abstracted from literature on game studies and learning theories. Designers and analysts can exploit these ...