Diseases are developed by abnormal behavior of genes in biological events such as gene regulation, mutation, phosphorylation, and epigenetics and post-translational modification. Many studies of text ...mining attempted to identify the relationship between gene and disease by mining the literature, but they did not consider the biological events in which genes show abnormal behaviour in response to diseases. In this study, we propose to identify disease-related genes that are involved in the development of disease through biological events from Medline abstracts. We identified associations between 13,054 genes and 4,494 disease types, which cover more disease-related genes than manually curated databases for all disease types (e.g., Online Mendelian Inheritance in Man) and also than those for specific diseases (e.g., Alzheimer's disease and hypertension). We show that the text mining findings are reliable, as per the PubMed scale, in that the disease-disease relationships inferred from the literature-wide findings are similar to those inferred from manually curated databases in a well-known study. In addition, literature-wide distribution of biological events across disease types reveals different characteristics of disease types.
Chemicals interact with genes in the process of disease development and treatment. Although much biomedical research has been performed to understand relationships among genes, chemicals, and ...diseases, which have been reported in biomedical articles in Medline, there are few studies that extract disease-gene-chemical relationships from biomedical literature at a PubMed scale. In this study, we propose a deep learning model based on bidirectional long short-term memory to identify the evidence sentences of relationships among genes, chemicals, and diseases from Medline abstracts. Then, we develop the search engine DigChem to enable disease-gene-chemical relationship searches for 35,124 genes, 56,382 chemicals, and 5,675 diseases. We show that the identified relationships are reliable by comparing them with manual curation and existing databases. DigChem is available at http://gcancer.org/digchem.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Gait analysis is an effective clinical tool across a wide range of applications. Recently, inertial measurement units have been extensively utilized for gait analysis. Effective gait analyses require ...good estimates of heel‐strike and toe‐off events. Previous studies have focused on the effective device position and type of triaxis direction to detect gait events. This study proposes an effective heel‐strike and toe‐off detection algorithm using a smart insole with inertial measurement units. This method detects heel‐strike and toe‐off events through a time‐frequency analysis by limiting the range. To assess its performance, gait data for seven healthy male subjects during walking and running were acquired. The proposed heel‐strike and toe‐off detection algorithm yielded the largest error of 0.03 seconds for running toe‐off events, and an average of 0–0.01 seconds for other gait tests. Novel gait analyses could be conducted without suffering from space limitations because gait parameters such as the cadence, stance phase time, swing phase time, single‐support time, and double‐support time can all be estimated using the proposed heel‐strike and toe‐off detection algorithm.
Gait analysis is an effective clinical tool across a wide range of applications. Recently, inertial measurement units have been extensively utilized for gait analysis. Effective gait analyses require ...good estimates of heel-strike and toe-off events. Previous studies have focused on the effective device position and type of triaxis direction to detect gait events. This study proposes an effective heel-strike and toe-off detection algorithm using a smart insole with inertial measurement units. This method detects heel-strike and toe-off events through a time-frequency analysis by limiting the range. To assess its performance, gait data for seven healthy male subjects during walking and running were acquired. The proposed heel-strike and toe-off detection algorithm yielded the largest error of 0.03 seconds for running toe-off events, and an average of 0-0.01 seconds for other gait tests. Novel gait analyses could be conducted without suffering from space limitations because gait parameters such as the cadence, stance phase time, swing phase time, single-support time, and double-support time can all be estimated using the proposed heel-strike and toe-off detection algorithm.
In this article, analytical analyses on the coefficient of thermal expansions (CTE) of pure aluminum alloy containing hollow cenosphere particles were performed by considering particle wall thickness ...and porosity on the CTE of the composite. The particle wall thickness effect was expressed in terms of the ratio of particle wall thickness and its radius (
t
/
R
). A theoretical prediction of the CTE of hollow and solid cenosphere particles was made by using modified rule of mixtures. The average CTE of solid cenosphere particle (7.2 × 10
–6
/°C) was much closer to the CTEs of SiC and Al
2
O
3
compared to CTE of hollow cenosphere particle. The effective CTE of porosity, calculated using the ROM, was around three times higher than the CTE of pure aluminum and one order higher than the CTE of ceramic particles. The higher effective CTE of porosity suggests the importance of controlling pore content to reduce the CTE of the composites. The pore volume change during thermal cycle was calculated, and the result showed an increase in pore volume after thermal cycle. The CTE increase was discussed in terms of pore volume increase and residual stress.
Experiments on pressure infiltration of pure aluminum melts in loose beds of hollow spherical particles were conducted. An analytical analysis on the melt infiltration in a bed of hollow spherical ...particles was performed. The solidified layer volume fraction on the particles and their apparent volume fraction were analyzed with respect to the ratio of particle wall thickness and particle radius (
t/R
). The effect of the apparent volume fraction on the threshold pressure, pressure drop, infiltration length, melt temperature, melt flow, and melt viscosity was analyzed. The analysis showed that a higher particle temperature and a lower ratio of
t/R
decrease the apparent volume fraction of the solidified layers, which results in a lower threshold pressure, longer infiltration length, higher melt temperature around the particles, and higher melt velocity. These results were used to explain the infiltration of the melt into a bed of hollow particles and suggest the benefit of hollow particles for synthesizing composites using melt infiltration techniques.
Scientific Reports 7: Article number: 40154; published online: 05 January 2017; updated: 11 April 2017 In this Article, Jung-jae Kim is incorrectly listed as being affiliated with ‘1 Fusionopolis ...Way, #21–01 Connexis (South Tower), 138632, Singapore’. The correct affiliation is listed below: Institute for Infocomm Research, Data Analytics Department, 138632, Singapore.
In this article, we present a 4.13-GHz ultrahigh-speed (UHS) pseudo two-port SRAM for high-performance computing (HPC) in 4-nm FinFET technology. By applying the bitline (BL) charge time reduction ...(BLCTR) with clamped BL discharge (CBLD) scheme that improves BL charge and write time, the flying word-line (WL) architecture that enhances WL enable time, and the dual address pumping (DAP) architecture with flip-flop that reduces read and write switching time and address latching time, the proposed pseudo two-port SRAM demonstrates a UHS performance with a 4.13-GHz operating speed. A test-chip using the proposed scheme and architecture is fabricated in Samsung 4 nm FinFET technology and demonstrates UHS pseudo two-port 32-Kb SRAM operating at 4.13 GHz under 0.85 V and 100 c conditions.
Biological events such as gene expression, regulation, phosphorylation, localization and protein catabolism play important roles in the development of diseases. Understanding the association between ...diseases and genes can be enhanced with the identification of involved biological events in this association. Although biological knowledge has been accumulated in several databases and can be accessed through the Web, there is no specialized Web tool yet allowing for a query into the relationship among diseases, genes and biological events. For this task, we developed DigSee to search MEDLINE abstracts for evidence sentences describing that 'genes' are involved in the development of 'cancer' through 'biological events'. DigSee is available through http://gcancer.org/digsee.
PDF
