De La Salle University

About: De La Salle University is a education organization based out in Manila, Philippines. It is known for research contribution in the topics: Population & Computer science. The organization has 2951 authors who have published 4374 publications receiving 49567 citations. The organization is also known as: Pamantasang De La Salle.

Emotion-Aware Human Attention Prediction

Abstract: Despite the recent success in face recognition and object classification, in the field of human gaze prediction, computer models are still struggling to accurately mimic human attention. One main reason is that visual attention is a complex human behavior influenced by multiple factors, ranging from low-level features (e.g., color, contrast) to high-level human perception (e.g., objects interactions, object sentiment), making it difficult to model computationally. In this work, we investigate the relation between object sentiment and human attention. We first introduce a new evaluation metric (AttI) for measuring human attention that focuses on human fixation consensus. A series of empirical data analyses with AttI indicate that emotion-evoking objects receive attention favor, especially when they co-occur with emotionally-neutral objects, and this favor varies with different image complexity. Based on the empirical analyses, we design a deep neural network for human attention prediction which allows the attention bias on emotion-evoking objects to be encoded in its feature space. Experiments on two benchmark datasets demonstrate its superior performance, especially on metrics that evaluate relative importance of salient regions. This research provides the clearest picture to date on how object sentiments influence human attention, and it makes one of the first attempts to model this phenomenon computationally.

Ab Initio Study of H2 Desorption from Magnesium Hydride MgH2 Cluster

Abstract: In the present study, we investigate H 2 desorption from a magnesium hydride MgH 2 cluster by performing total energy calculations based on the density functional theory (DFT). We calculate the potential energy surface (PES) for the H 2 desorption from a (MgH 2 ) 5 cluster. According to the total atomic charges of the Mg and H atoms at the initial (MgH 2 ) 5 cluster, the Mg–H bond is ionic-like. Because of this, the activation barrier for the H 2 desorption is considerably high (3.30 eV). Moreover, the structural relaxation for the system, allowing for only the two Mg atoms closest to the two desorbing H atoms, does not largely affect the potential energy of the system. The results indicate that the ionic-like Mg–H interaction is related to the thermodynamical stability of MgH 2 .

The verb in Philippine English: a preliminary analysis of modal would

Abstract: Taking its inspiration from a study conducted by Svalberg of Brunei English verb usage (1998), this paper examines the responses of a sample of 205 Filipino university freshmen to grammatically correct and incorrect verb forms in a 20-item Grammaticality Judgment Test. The test covered tense harmony, verb forms, tenses, and modals. Except in the area of modal use, the students on the whole performed fairly adequately on the items. As in the Svalberg study, the results showed that both the high proficiency and the low proficiency group had difficulty recognizing non-standard uses of modal would. Similar would non-standardisms were subsequently also found in a sample of printed material collected from local newspapers and journals. A possible explanation for this finding might be the convergence of imperfect learning, an expressive need to communicate non-assertiveness, and the tendency in a second-language variety to simplify complex structure and semantics.

Monoterpene lactones from the seeds of Nephelium lappaceum.

Abstract: Dichloromethane extracts of the seeds of Nephelium lappaceum afforded two new diastereomeric monoterpene lactones, 1 and 2, and the known butenolide siphonodin (3), as well as kaempferol 3-O-β-d-gl...

P-Graph Approach to Optimizing Crisis Operations in an Industrial Complex

Abstract: Industrial complexes allow for efficient and sustainable production of various goods, but at the same time they are also vulnerable to cascading failures caused by disruptions in process capacity or resource availability. Climate change in particular may cause significant perturbations in the supply of important process inputs such as water, energy, or feedstocks. Thus, for industrial complexes, proper risk management strategies must be developed as part of overall climate change adaptation and resilience measures. Rigorous modeling approaches are needed to ensure that economic losses resulting from a disruption are minimized. In this paper, a P-graph-based methodology is used to determine optimal adjustments to crisis conditions in order to minimize manufacturing losses; this graph theoretic methodology has traditionally been used for process network synthesis problems but has recently proven to be useful for structurally analogous problem domains. Two case studies on the reallocation of production capac...