Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths

ATOMIC is a large-scale commonsense knowledge graph (CSKG) containing everyday if-then knowledge triplets, i.e., {head event, relation, tail event}. The one-hop annotation manner made ATOMIC a set of independent bipartite graphs, which ignored the numerous links between events in different bipartite graphs and consequently caused shortages in knowledge coverage and multi-hop paths. In this work, we aim to construct Dense-ATOMIC with high knowledge coverage and massive multi-hop paths. The events in ATOMIC are normalized to a consistent pattern at first. We then propose a CSKG completion method called Rel-CSKGC to predict the relation given the head event and the tail event of a triplet, and train a CSKG completion model based on existing triplets in ATOMIC. We finally utilize the model to complete the missing links in ATOMIC and accordingly construct Dense-ATOMIC. Both automatic and human evaluation on an annotated subgraph of ATOMIC demonstrate the advantage of Rel-CSKGC over strong baselines. We further conduct extensive evaluations on Dense-ATOMIC in terms of statistics, human evaluation, and simple downstream tasks, all proving Dense-ATOMIC's advantages in Knowledge Coverage and Multi-hop Paths. Both the source code of Rel-CSKGC and Dense-ATOMIC are publicly available on https://github.com/NUSTM/Dense-ATOMIC.Comment: Accepted by ACL 2023 Main Conferenc

Personality-aware Human-centric Multimodal Reasoning: A New Task

Multimodal reasoning, an area of artificial intelligence that aims at make inferences from multimodal signals such as vision, language and speech, has drawn more and more attention in recent years. People with different personalities may respond differently to the same situation. However, such individual personalities were ignored in the previous studies. In this work, we introduce a new Personality-aware Human-centric Multimodal Reasoning (Personality-aware HMR) task, and accordingly construct a new dataset based on The Big Bang Theory television shows, to predict the behavior of a specific person at a specific moment, given the multimodal information of its past and future moments. The Myers-Briggs Type Indicator (MBTI) was annotated and utilized in the task to represent individuals' personalities. We benchmark the task by proposing three baseline methods, two were adapted from the related tasks and one was newly proposed for our task. The experimental results demonstrate that personality can effectively improve the performance of human-centric multimodal reasoning. To further solve the lack of personality annotation in real-life scenes, we introduce an extended task called Personality-predicted HMR, and propose the corresponding methods, to predict the MBTI personality at first, and then use the predicted personality to help multimodal reasoning. The experimental results show that our method can accurately predict personality and achieves satisfactory multimodal reasoning performance without relying on personality annotations

Data set for phylogenetic tree and RAMPAGE Ramachandran plot analysis of SODs in Gossypium raimondii and G. arboreum

AbstractThe data presented in this paper is supporting the research article “Genome-Wide Analysis of Superoxide Dismutase Gene Family in Gossypium raimondii and G. arboreum” [1]. In this data article, we present phylogenetic tree showing dichotomy with two different clusters of SODs inferred by the Bayesian method of MrBayes (version 3.2.4), “Bayesian phylogenetic inference under mixed models” [2], Ramachandran plots of G. raimondii and G. arboreum SODs, the protein sequence used to generate 3D sructure of proteins and the template accession via SWISS-MODEL server, “SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information.” [3] and motif sequences of SODs identified by InterProScan (version 4.8) with the Pfam database, “Pfam: the protein families database” [4]

Nonlinear Analysis of Auscultation Signals in TCM Using the Combination of Wavelet Packet Transform and Sample Entropy

Auscultation signals are nonstationary in nature. Wavelet packet transform (WPT) has currently become a very useful tool in analyzing nonstationary signals. Sample entropy (SampEn) has recently been proposed to act as a measurement for quantifying regularity and complexity of time series data. WPT and SampEn were combined in this paper to analyze auscultation signals in traditional Chinese medicine (TCM). SampEns for WPT coefficients were computed to quantify the signals from qi- and yin-deficient, as well as healthy, subjects. The complexity of the signal can be evaluated with this scheme in different time-frequency resolutions. First, the voice signals were decomposed into approximated and detailed WPT coefficients. Then, SampEn values for approximated and detailed coefficients were calculated. Finally, SampEn values with significant differences in the three kinds of samples were chosen as the feature parameters for the support vector machine to identify the three types of auscultation signals. The recognition accuracy rates were higher than 90%

Identification of gut metabolites associated with Parkinson’s disease using bioinformatic analyses

BackgroundParkinson’s disease (PD) is a common neurodegenerative disease affecting the movement of elderly patients. Environmental exposures are the risk factors for PD; however, gut environmental risk factors for PD are critically understudied. The proof-of-concept study is to identify gut metabolites in feces, as environmental exposure risk factors, that are associated with PD and potentially increase the risk for PD by using leverage of known toxicology results.Materials and methodsWe collected the data regarding the gut metabolites whose levels were significantly changed in the feces of patients with PD from the original clinical studies after searching the following databases: EBM Reviews, PubMed, Embase, MEDLINE, and Elsevier ClinicalKey. We further searched each candidate metabolite-interacting PD gene set by using the public Comparative Toxicogenomics Database (CTD), identified and validated gut metabolites associated with PD, and determined gut metabolites affecting specific biological functions and cellular pathways involved in PD by using PANTHER tools.ResultsSixteen metabolites were identified and divided into the following main categories according to their structures and biological functions: alcohols (ethanol), amino acids (leucine, phenylalanine, pyroglutamic acid, glutamate, and tyrosine), short-chain fatty acids (propionate and butyrate), unsaturated fatty acids (linoleic acid and oleic acid), energy metabolism (lactate, pyruvate, and fumarate), vitamins (nicotinic acid and pantothenic acid), and choline metabolism (choline). Finally, a total of three identified metabolites, including butyrate, tyrosine, and phenylalanine, were validated that were associated with PD.ConclusionOur findings identified the gut metabolites that were highly enriched for PD genes and potentially increase the risk of developing PD. The identification of gut metabolite exposures can provide biomarkers for disease identification, facilitate an understanding of the relationship between gut metabolite exposures and response, and present an opportunity for PD prevention and therapies

Comparative study on dry eyes after FS-LASIK, T-PRK and SMILE operations

AIM:To compare dry eye symptoms and signs before and after three kinds surgery, femtosecond laser-assisted laser in situ keratomileusis(FS-LASIK), transepithelial photorefractive keratectomy(T-PRK), small incision lenticule extraction(SMILE)using ocular surface analyzer(Oculus Keratograph). METHODS:Totally 98 patients(196 eyes)undergoing corneal refractive surgery from January 2017 to May 2017 were recruited. They were divided into three groups, namely, FS-LASIK group, T-PRK group and SMILE group. All patients underwent observation and assessment in the following order: ocular surface disease index(OSDI), tear meniscus height(TMH), measure using the infrared pattern of Oculus Keratograph. The first tear film break-up time(FBUT)and average tear break-up time(ABUT)measure using the infrared pattern of Oculus Keratograph, corneal fluorescein staining(FL), Schirmer Ⅰ test(SⅠt). RESULTS:1)OSDI index: There was statistically significant difference between the three groups(Fgroups=2.799, PgroupsFtime=85.942, PtimeP=0.019), and the OSDI values of the T-PRK group were higher than those of the other two groups. 2)TMH: There was statistically significant difference among the three groups postoperatively(Fgroups=1.720, PgroupsFtime=11.202, PtimeP=0.004), and the inferior TMH in the SMILE group was higher than that of the other two groups. 3)FBUT: There was statistically significant difference among the three groups after surgery(Fgroups=1.428, Pgroups=0.245). The difference in FBUT values between different time points in each group was statistically significant(Ftime=4.511, Ptime=0.001). The FBUT values of each group were significantly reduced after 1wk and 1mo, and recovered to preoperative levels after 3mo and 6mo. There was no significant difference in FBUT between different groups at each time points(P>0.05). 4)ABUT: There was statistically significant difference in ABUT among the three groups after surgery(Fgroups=1.290, PgroupsFtime=10.294, PtimeP=0.008); among them, the ABUT value of the SMILE group was higher than that of the T-PRK group and the FS-LASIK group. 5)FL: There was no statistical difference in the FL score between the three groups(Fgroups=0.816, Pgroups=0.445). The differences in the FL scores at different points in each group were statistically significant(Ftime=5.539, Ptime=0.004). The FL score of each group was significantly higher than before surgery at 1wk and 1mo, and recovered to preoperative levels at 3mo and 6mo after surgery. There was no statistical difference in the FLs between different groups at different points in time(P>0.05). 6)SⅠt: There was no statistically significant difference in SⅠt values among the three groups after surgery(Fgroups=0.225, Pgroups=0.799). The difference in SⅠt values between different time points in each group was statistically significant(Ftime=4.604, Ptime=0.003). The SⅠt values of each group were slightly higher than the preoperative values afyer 1wk and 3mo, but they were all within normal values. There was no significant difference between the SⅠt values of 1mo or 6mo after operation and the preoperative level. There was no statistical difference in SⅠt values between different groups at each points in time(P>0.05).CONCLUSION:The three types of corneal refractive surgery FS-LASIK, T-PRK, and SMILE all cause different degrees of dry eyes within a certain period of time after surgery, but they can gradually recover later. After SMILE surgery, the stability of the tear film recovered faster, while the symptoms after T-PRK surgery improved the least

Original Article Diagnosis of children's attention deficit hyperactivity disorder (ADHD) and its association with cytomegalovirus infection with ADHD: a historical review

Abstract: As the most common mental disorder identified in children and teenagers, attention deficit hyperactivity disorder (ADHD) affects millions of children and their families, making it a critical health issue worldwide. This article reviewed the historical opinions about the diagnosis of ADHD and defined different subtypes of this disorder. It also summarized the current diagnostic criteria and available medications. After re-visiting the etiology of ADHD in the sense of both genetic and environment factors, it was further hypothesized that viral infection might be involved in ADHD pathogenesis. Human cytomegalovirus (HCMV) infection may be associated with ADHD, although both clinical observations and animal studies need to be performed for validation

High-proportion breast milk feeding is associated with a reduction in the incidence of IVH in very preterm infants

ObjectiveTo investigate the protective effect of high-proportion breast milk feeding (>50%) on intraventricular hemorrhage (IVH) in very preterm infants (VPIs).MethodsThis was a retrospective secondary analysis of a prospective multi-center study, which included 604 VPIs from six hospitals in eastern China between September 2019 and December 2020. The 604 VPIs were divided into two groups according to whether IVH occurred. High-proportion breast milk feeding was defined as breast milk accounting for 51–100% of the total feeding amount both within 7 days and throughout the hospitalization. The IVH grades and the rate of high-proportion breast milk feeding were analyzed. Furthermore, to explore the relationship between high-proportion breast milk feeding and IVH grading, the VPIs' general information, perinatal factors, growth, and nutritional status during hospitalization, and related complications were compared between the two groups.ResultsHigh-proportion breast milk feeding was reported in 63.41% of the VPIs. Furthermore, IVH grades I–II and III–IV were noted in 39.73% (240/604) and 1.66% (10/604) of the VPIs, respectively. Univariate analysis revealed that IVH occurrence in VPIs is influenced by perinatal factors, invasive respiratory therapy, high-proportion breast milk feeding, start feeding with breast milk, the cumulative amount of early parenteral nutrition, postnatal complications, physical growth, and other factors (P < 0.05). After adjustments for gestational age, birth weight, and possible influencing factors through binary logistic regression analysis, the results revealed that high-proportion breast milk feeding and and start feeding with breast milk were associated with a lower total incidence of IVH. Further stratification showed that high-proportion breast milk feeding was associated with a lower incidence of grade I–II IVH. Similarly, after adjusting for the same factors, breast milk feeding >50% in the 1st week was associated with a decreased incidence of total IVH and further stratification showed that it was associated with a lower incidence of grade I–II IVH.ConclusionHigh-proportion breast milk feeding and breast milk feeding more than 50% of total intake during the 1st week might be protective factors for IVH grade I–II in VPIs, which further verified the neuroprotective effect of breast milk. In clinical practice, the construction of breast milk banks should be strengthened, breast milk feeding should be encouraged in neonatal intensive care units, and efforts should be made to increase breast milk feeding rates to improve the outcomes of VPIs