43 research outputs found
Activated PTHLH
Studies were done on analysis of biological processes in the same high expression (fold change ≥2) activated PTHLH feedback-mediated cell adhesion gene ontology (GO) network of human hepatocellular carcinoma (HCC) compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection). Activated PTHLH feedback-mediated cell adhesion network consisted of anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport in HCC. We proposed activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Our hypothesis was verified by the different activated PTHLH feedback-mediated cell adhesion GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network included BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, and VCAN in HCC from GEO dataset using gene regulatory network inference method and our programming
The role of 245 phase in alkaline iron selenide superconductors revealed by high pressure studies
Here we show that a pressure of about 8 GPa suppresses both the vacancy order
and the insulating phase, and a further increase of the pressure to about 18
GPa induces a second transition or crossover. No superconductivity has been
found in compressed insulating 245 phase. The metallic phase in the
intermediate pressure range has a distinct behavior in the transport property,
which is also observed in the superconducting sample. We interpret this
intermediate metal as an orbital selective Mott phase (OSMP). Our results
suggest that the OSMP provides the physical pathway connecting the insulating
and superconducting phases of these iron selenide materials.Comment: 32 pages, 4 figure
Anisotropic Magnetotransport and Exotic Longitudinal Linear Magnetoresistance in WTe2 Crystals
WTe2 semimetal, as a typical layered transition-metal dichalcogenide, has
recently attracted much attention due to the extremely large, non-saturating
parabolic magnetoresistance in perpendicular field. Here, we report a
systematic study of the angular dependence of the magnetoresistance in WTe2
single crystal. The violation of the Kohler rule and a significant anisotropic
magnetotransport behavior in different magnetic field directions are observed.
Surprisingly, when the applied field is parallel to the tungsten chains of
WTe2, an exotic large longitudinal linear magnetoresistance as high as 1200% at
15 T and 2 K is identified. Violation of the Kohler rule in transverse
magnetoresistance can be understood based on a dual effect of the excitons
formation and thermal activation, while large longitudinal linear
magnetoresistance reflects perfectly the scattering and nesting of quasi-1D
nature of this balanced hole-electron system. Our work will stimulate studies
of such double-carrier correlated material and corresponding quantum physics
Interferon a-inducible protein 27 computational network construction and comparison between the frontal cortex of HIV Encephalitis (HIVE) and HIVE-control patients
Interferon α-inducible protein 27 (IFI27) computational network construction and analysis of frontal cortex of HIV encephalitis (HIVE) is very useful to identify novel markers and potential targets for prognosis and therapy. Based on integrated gene regulatory network infer (GRNInfer) method by linear programming and a decomposition procedure with analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering from DAVID, we identified and constructed significant molecular IFI27 networks from 12 frontal cortex of HIVE-control patients and 16 HIVE in the same GEO Dataset GDS1726. Our integrative results reflected an IFI27 membrane module only in the upstream of the frontal cortex of HIVE-control patients (BTN3A2, RASGRP3, ROR1 inhibition), and the frontal cortex of HIVE (DGKG, LY96 activation; RASGRP3 inhibition); IFI27 organelle only in the upstream of HIVE-control patients (CREB5, OAS1, PDCD4 activation), and HIVE (PDCD4 activation; ZC3HAV1, ZNF652 inhibition); IFI27 sequence variant only in the upstream of HIVE-control patients (ISG15_2, OAS1, TNFRSF11B activation; BTN3A2, LCAT, ROR1 inhibition), and HIVE (CFB, DGKG, LCAT, LY96 activation; ISG15_2, TNFRSF11B, ZC3HAV1 inhibition)
The Roles of Segments and Tone in Mandarin Lexical Processing: An ERP Study
Backgrounds: Segments and tone are important sub-syllabic units that play large roles in lexical processing in tonal languages. However, their roles in lexical processing remain unclear, and the event-related potential (ERP) technique will benefit the exploration of the cognitive mechanism in lexical processing. Methods: The high temporal resolution of ERP enables the technique to interpret rapidly changing spoken language performances. The present ERP study examined the different roles of segments and tone in Mandarin Chinese lexical processing. An auditory priming experiment was designed that included five types of priming stimuli: consonant mismatch, vowel mismatch, tone mismatch, unrelated mismatch, and identity. Participants were asked to judge whether the target of the prime-target pair was a real Mandarin disyllabic word or not. Results: Behavioral results including reaction time and response accuracy and ERP results were collected. Results were different from those of previous studies that showed the dominant role of consonants in lexical access in mainly non-tonal languages like English. Our results showed that consonants and vowels play comparable roles, whereas tone plays a less important role than do consonants and vowels in lexical processing in Mandarin. Conclusions: These results have implications for understanding the brain mechanisms in lexical processing of tonal languages
A NEW FEATURE SELECTION METHOD BASED ON CONCEPT EXTRACTION IN AUTOMATIC CHINESE TEXT CLASSIFICATION
The feature selection is an important part in automatic text classification. In this paper, we use a Chinese semantic dictionary — Hownet to extract the concepts from the word as the feature set, because it can better reflect the meaning of the text. However, as the concept definition in the dictionary sometimes cannot express the word properly, we define the expression power for every sememe and every definition of the word in further process, and define the relation degree between the sememe and the definition. A threshold is set in the sememe tree, the sememe of the little information is filtered, and the words of weak definition are reserved in expression power. By this method, we construct a combined feature set that consists of both sememes and the Chinese words. The values of sememes are given according to their expression power and relation to the word. By comparing seven feature weighing methods in text classification, we propose a CHI-MCOR weighing method according to the weighing theories and classification precision. Experimental result shows that if the words are extracted properly, not only the feature dimension is smaller but also the classification precision is higher. Our method makes a good balance between the features which occur frequently in the corpus and those which only occur in one category, the difference of the classification precision among different categories is small.Text classification, HowNet, concept extraction, feature selection
A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering
Abstract. We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibility of this new approach, we first extract features concerning question sentences and answer words from question answer pairs (QA pair), then we conduct experiments based on these features, using Maximum Entropy Model (MEM) as a Machine Learning (ML) technique. The first experiment conducted on the class-TIME_YEAR achieves 81.24 % in precision and 78.48 % in recall. The second experiment expanded to two other classes-OBJ_SUBSTANCE and LOC_CONTINENT also shows good performance.
Rapid implicit extraction of abstract orthographic patterns of Chinese characters during reading.
Orthographic processing is crucial in reading. For the Chinese language, sub-lexical processing has already taken place at radical level. Previous literature reported early position-specific radical representations and later position-general radical representations, implying a possible separating process of abstract position information irrespective of radicals per se from radical representations during orthographic processing. However, it remains largely unclear whether the abstract pattern of spatial arrangement of radicals can be rapidly extracted, and if so, whether this extraction takes place at the visual cortex, the very first processing center. As the visual cortex is documented to actively participate in orthographic processing, it may also play a role in the possible extraction of abstract orthographic patterns of Chinese characters. Hence, we hypothesize that abstract orthographic patterns of Chinese characters are covertly extracted at the visual cortex during reading. In this study, we investigated whether the visual cortex could rapidly extract abstract structural patterns of Chinese characters, using the event-related potential (ERP) technique. We adopted an active oddball paradigm with two types of deviant stimuli different only in one feature, structural or tonal, from standard stimuli; in each of the two sessions, subjects focused conscious attention on one feature and neglected the other. We observed that the ERPs recorded at occipital electrodes responded differentially to standard and structural deviant stimuli in both sessions, especially within the time range of the occipital P200 component. Then, we extracted three source waves arising from different levels of the visual cortex. Early response differences (from 88 to 456 ms after stimulus onset) were observed between the source waves, probably arising from left primary/secondary and bilateral associative visual cortices, in response to standard and deviant stimuli that violated abstract structural patterns, whether subjects focused their attention on the character structure or not. This suggests rapid extraction of abstract structural patterns of Chinese characters in the visual cortex, no matter the abstract structural pattern was explicit or implicit to subjects. Note that the source waves arising from right primary/secondary visual cortices in response to standard and structural deviant stimuli did not differ at all, indicating that this extraction of the abstract structural pattern of Chinese characters was left-lateralized. Besides, no difference was observed between source waves originating from any level of the visual cortex to standard and deviant stimuli that violated abstract tonal patterns, until 768 ms when a late effect related to conscious detection of targets occurred at higher levels of the visual cortex. Note that at late stages (later than 698 ms after stimulus onset), responses arising from bilateral associative visual cortices to standard and target stimuli differed for both sessions, no matter the structural or tonal feature was attended to. Our findings support the primitive intelligence of visual cortex to rapidly extract abstract orthographic patterns of Chinese characters that might be engaged in further lexical processing. Our findings also suggest that this rapid extraction can take place implicitly during reading