Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different tasks, our method aligns the layers of the original networks and merges them into a unified model by sharing the representative codes of weights. The shared weights are further re-trained to fine-tune the performance of the merged model. The proposed method effectively produces a compact model that may run original tasks simultaneously on resource-limited devices. As it preserves the general architectures and leverages the co-used weights of well-trained networks, a substantial training overhead can be reduced to shorten the system development time. Experimental results demonstrate a satisfactory performance and validate the effectiveness of the method.Comment: To appear in the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, 2018. (IJCAI-ECAI 2018

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

Hyper-partisan misinformation has become a major public concern. In order to examine what type of misinformation label can mitigate hyper-partisan misinformation sharing on social media, we conducted a 4 (label type: algorithm, community, third-party fact-checker, and no label) X 2 (post ideology: liberal vs. conservative) between-subjects online experiment (N = 1,677) in the context of COVID-19 health information. The results suggest that for liberal users, all labels reduced the perceived accuracy and believability of fake posts regardless of the posts' ideology. In contrast, for conservative users, the efficacy of the labels depended on whether the posts were ideologically consistent: algorithmic labels were more effective in reducing the perceived accuracy and believability of fake conservative posts compared to community labels, whereas all labels were effective in reducing their belief in liberal posts. Our results shed light on the differing effects of various misinformation labels dependent on people's political ideology

THE INFLUENCE OF THE HAMSTRING MYOFASCIAL RELEASE ON GROUND REACTION FORCE DURING GAIT

The purpose of this study was to investigate the influence of the myofascial release on hamstring during gait in order to inform the clinical management of patients with muscular tightness of hamstring. Sixteen adult subjects with the muscle tightness of hamstring participated in this study. The peak of the vertical ground reaction force before treatment (1.114 body weight) in the stance phase is significantly higher than that (1.065 body weight) after treatment (P=0.007). The peak knee extension moment was significantly decreased across the intervention (0.48 vs. 0.33 Nm/kg, P = 0.019). The understanding of the efficacy of myofascial release on hamstring muscles is helpful to inform the clinical management of patients with muscular tightness of hamstring

Clinical Features and Outcomes of Severe Acute Respiratory Syndrome and Predictive Factors for Acute Respiratory Distress Syndrome

BackgroundSevere acute respiratory syndrome (SARS) is an emerging infectious disease, and indeed, the SARS epidemic in Taiwan from March to July 2003 had a great impact. This study depicts the clinical characteristics and short-term outcomes of patients with SARS treated at Taipei Veterans General Hospital; potential predictive factors for acute respiratory distress syndrome (ARDS) are also analyzed.MethodsThis study retrospectively analyzed data for 67 SARS patients, who were grouped according to whether or not ARDS developed during the clinical course of SARS.ResultsThere were 32 males (mean age, 50.3 years; range, 20–75 years) and 35 females (mean age, 51.1 years; range, 23–86 years). Twenty-five patients (37.3%) were health care workers. At admission, 50 patients (74.6%) had abnormal chest radiographs, and all patients developed pulmonary infiltrates during the following week. During hospitalization, lymphopenia was found in 57 patients (85.1%); and elevated levels of lactate dehydrogenase (LDH; n = 55; 83.3%), C-reactive protein (n = 55; 83.3%), aminotransferases (n = 44; 65.7%), and creatine kinase (n = 14; 20.9%) were also noted. ARDS developed in 33 patients (49.3%), who were generally older than the patients in whom ARDS did not develop, male, non-health care workers, and who generally had dyspnea at the time of diagnosis, and a history of diabetes mellitus, hypertension or cerebrovascular accident. Patients with, versus those without, ARDS also tended to present with more severe lymphopenia and leukocytosis, and with higher levels of LDH and aspartate aminotransferase. The overall mortality rate was 31.3% (21/67), whereas the rate for patients who developed ARDS was 63.6% (21/33). Multivariate analyses showed that age greater than 65 years (odds ratio, OR, 10.6; 95% confidence interval, CI, 2.1–54.1), pre-existing diabetes mellitus (OR, 13.7; 95% CI, 1.3–146.9), and elevated levels of LDH (OR, 8.4; 95% CI, 1.9–36.9) at admission, were independent predictors of ARDS.ConclusionThe clinical manifestations of SARS showed high variability, and were related to the underlying health status of individual patients. Importantly, the development of ARDS was associated with significant mortality, despite aggressive therapy

Interactions between Amyloid-β and Hemoglobin: Implications for Amyloid Plaque Formation in Alzheimer's Disease

Accumulation of amyloid-β (Aβ) peptides in the brain is one of the central pathogenic events in Alzheimer's disease (AD). However, why and how Aβ aggregates within the brain of AD patients remains elusive. Previously, we demonstrated hemoglobin (Hb) binds to Aβ and co-localizes with the plaque and vascular amyloid deposits in post-mortem AD brains. In this study, we further characterize the interactions between Hb and Aβ in vitro and in vivo and report the following observations: 1) the binding of Hb to Aβ required iron-containing heme; 2) other heme-containing proteins, such as myoglobin and cytochrome C, also bound to Aβ; 3) hemin-induced cytotoxicity was reduced in neuroblastoma cells by low levels of Aβ; 4) Hb was detected in neurons and glial cells of post-mortem AD brains and was up-regulated in aging and APP/PS1 transgenic mice; 5) microinjection of human Hb into the dorsal hippocampi of the APP/PS1 transgenic mice induced the formation of an envelope-like structure composed of Aβ surrounding the Hb droplets. Our results reveal an enhanced endogenous expression of Hb in aging brain cells, probably serving as a compensatory mechanism against hypoxia. In addition, Aβ binds to Hb and other hemoproteins via the iron-containing heme moiety, thereby reducing Hb/heme/iron-induced cytotoxicity. As some of the brain Hb could be derived from the peripheral circulation due to a compromised blood-brain barrier frequently observed in aged and AD brains, our work also suggests the genesis of some plaques may be a consequence of sustained amyloid accretion at sites of vascular injury

QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms

Copyright @ Elsevier Ltd. All rights reserved.In this paper, two bio-inspired Quality of Service (QoS) multicast algorithms are proposed in IP over dense wavelength division multiplexing (DWDM) optical Internet. Given a QoS multicast request and the delay interval required by the application, both algorithms are able to find a flexible QoS-based cost suboptimal routing tree. They first construct the multicast trees based on ant colony optimization and artificial immune algorithm, respectively. Then a dedicated wavelength assignment algorithm is proposed to assign wavelengths to the trees aiming to minimize the delay of the wavelength conversion. In both algorithms, multicast routing and wavelength assignment are integrated into a single process. Therefore, they can find the multicast trees on which the least wavelength conversion delay is achieved. Load balance is also considered in both algorithms. Simulation results show that these two bio-inspired algorithms can construct high performance QoS routing trees for multicast applications in IP/DWDM optical Internet.This work was supported in part ny the Program for New Century Excellent Talents in University, the Engineering and Physical Sciences Research Council (EPSRC) of UK under Grant EP/E060722/1, the National Natural Science Foundation of China under Grant no. 60673159 and 70671020, the National High-Tech Reasearch and Development Plan of China under Grant no. 2007AA041201, and the Specialized Research Fund for the Doctoral Program of Higher Education under Grant no. 20070145017

Understanding Cultural Issues in the Diabetes Self-Management Behaviors of Korean Immigrants

PURPOSE: The purpose of this study was to explore potential factors affecting self-management behaviors in Korean immigrants with type 2 diabetes mellitus (KIT2Ds). METHODS: A qualitative descriptive design guided this study. Semi-structured interviews lasting 45-60 minutes were conducted with 20 KIT2Ds in the participant’s preferred language; in all cases this was Korean. Each interview was audio-taped, transcribed, and analyzed using conventional content analysis. Data analysis was performed in two steps. The data written in Korean were initially analyzed by three bilingual researchers. A qualitative researcher then participated in the analysis to refine the findings for presentation to an English speaking audience while staying true to the data and preserving the nuanced Korean meanings. RESULTS: The mean age of the sample was 64. 5 ± 11.6 years (9 men and 11 women). The mean years of staying in the U. S. and age at diabetes mellitus diagnosis were 23.6 ± 9.7 years and 52.5 ± 12.3 years, respectively. Three major ideas were identified: (a) issues on treatment regimen related to both medications and diet, (b) resources that helped or hindered their ability to manage diabetes, and (c) the physician/patient relationship. CONCLUSIONS: There were important cultural nuances that need to be addressed to better prepare KIT2Ds to manage their diabetes more effectively. A culture specific program should extend beyond a diabetes self-management education delivered in Korean language. Rather, content and education methods need to consider acculturation effects on diabetes management behaviors