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Consistently scaling pre-trained language models (PLMs) imposes substantial burdens on model adaptation, necessitating more efficient alternatives to conventional fine-tuning. Given the advantage of prompting in the zero-shot setting and the observed performance fluctuation among different prompts, we explore the instance-level prompt and their generalizability. By searching through the prompt space, we first validate the assumption that for every instance, there is almost always a lottery prompt that induces the correct prediction from the PLM, and such prompt can be obtained at a low cost thanks to the inherent ability of PLMs. Meanwhile, we find that some strong lottery prompts have high performance over the whole training set, and they are equipped with distinguishable linguistic features. Lastly, we attempt to generalize the searched strong lottery prompts to unseen data with prompt ensembling method without any parameter tuning. Experiments are conducted on various types of NLP classification tasks and demonstrate that the proposed method can achieve comparable results with other gradient-free and optimization-free baselines., Accepted to ACL 2023

Zero-shot information extraction (IE) aims to build IE systems from the unannotated text. It is challenging due to involving little human intervention. Challenging but worthwhile, zero-shot IE reduces the time and effort that data labeling takes. Recent efforts on large language models (LLMs, e.g., GPT-3, ChatGPT) show promising performance on zero-shot settings, thus inspiring us to explore prompt-based methods. In this work, we ask whether strong IE models can be constructed by directly prompting LLMs. Specifically, we transform the zero-shot IE task into a multi-turn question-answering problem with a two-stage framework (ChatIE). With the power of ChatGPT, we extensively evaluate our framework on three IE tasks: entity-relation triple extract, named entity recognition, and event extraction. Empirical results on six datasets across two languages show that ChatIE achieves impressive performance and even surpasses some full-shot models on several datasets (e.g., NYT11-HRL). We believe that our work could shed light on building IE models with limited resources.

Additional file 1. Supplementary Figures.

Additional file 1. Supplementary figures and tables.

Metric-based meta-learning is one of the de facto standards in few-shot learning. It composes of representation learning and metrics calculation designs. Previous works construct class representations in different ways, varying from mean output embedding to covariance and distributions. However, using embeddings in space lacks expressivity and cannot capture class information robustly, while statistical complex modeling poses difficulty to metric designs. In this work, we use tensor fields (``areas'') to model classes from the geometrical perspective for few-shot learning. We present a simple and effective method, dubbed hypersphere prototypes (HyperProto), where class information is represented by hyperspheres with dynamic sizes with two sets of learnable parameters: the hypersphere's center and the radius. Extending from points to areas, hyperspheres are much more expressive than embeddings. Moreover, it is more convenient to perform metric-based classification with hypersphere prototypes than statistical modeling, as we only need to calculate the distance from a data point to the surface of the hypersphere. Following this idea, we also develop two variants of prototypes under other measurements. Extensive experiments and analysis on few-shot learning tasks across NLP and CV and comparison with 20+ competitive baselines demonstrate the effectiveness of our approach., preprint

Successful Machine Learning based Named Entity Recognition models could fail on texts from some special domains, for instance, Chinese addresses and e-commerce titles, where requires adequate background knowledge. Such texts are also difficult for human annotators. In fact, we can obtain some potentially helpful information from correlated texts, which have some common entities, to help the text understanding. Then, one can easily reason out the correct answer by referencing correlated samples. In this paper, we suggest enhancing NER models with correlated samples. We draw correlated samples by the sparse BM25 retriever from large-scale in-domain unlabeled data. To explicitly simulate the human reasoning process, we perform a training-free entity type calibrating by majority voting. To capture correlation features in the training stage, we suggest to model correlated samples by the transformer-based multi-instance cross-encoder. Empirical results on datasets of the above two domains show the efficacy of our methods., Accepted by COLING 2022, added dev results of the address data

BACKGROUND: Understanding of maternal and fetal factors affecting leptin, adiponectin and adiponectin: leptin ratio at birth, may provide valuable insights into potential future risk of metabolic alterations and inform primordial prevention and precision nutrition strategies. OBJECTIVE: To identify maternal and fetal risk factors that affect leptin and adiponectin levels (markers of adiposity) and adiponectin/leptin ratio (a marker of dysfunctional adipose tissue) at birth. METHODS: We studied mother-infant pairs in the Boston Birth Cohort. Cord blood was collected at birth. We used student t-tests to compare log normalized cord leptin and adiponectin levels. Regression analysis were performed to examine the association of maternal and fetal factors with leptin and adiponectin levels and adiponectin: leptin ratio at birth in both term and preterm infants. RESULTS: We analyzed 1012 infants (245 preterm). Both cord leptin and adiponectin were higher in term infants than preterm infants (10.2 ± 0.9 vs. 9.2 ± 1.3, p < 0.0001 and 9.5 ± 0.7 vs. 8.9 ± 0.8, p < 0.0001 respectively). Cord leptin was higher for Black infants (10.1 ± 1.1 vs. 9.9 ± 1.2; p < 0.001) although Black (ref: non Black) infants had lower cord adiponectin levels (9.3 ± 0.8 vs. 9.5 ± 0.7; p = 0.01). Ratio of adiponectin to leptin (log normalized) was higher in preterm infants (−0.24) vs. term infants (−0.69). On regression analysis cord leptin was positively associated with longer gestational age, birth weight z score, Black race, maternal overweight and obesity, gestational diabetes and pregestational diabetes mellitus and negatively associated with male sex. Cord adiponectin was positively associated with gestational age, birth weight z score and negatively with Black race and male sex. Adiponectin: leptin ratio was positively with male sex and negatively with GA, birth wt. z score, Black race, gestational DM, pregestational DM and maternal overweight and obesity. CONCLUSION: We identified several factors that affect leptin and adiponectin levels along with adiponectin-leptin ratio at birth beyond GA and birth weight which could also play an important role in influencing the trajectory of these hormones and future cardio metabolic outcomes. This knowledge can help tailor precision nutrition interventions.

In 1998, the Boston Birth Cohort (BBC) was initiated at Boston Medical Center (BMC) in response to persistently high rates of preterm birth (PTB, defined as birth before 37 weeks of gestation) in the US population and the longstanding profound PTB disparity among Black, Indigenous, and people of color (BIPOC). The BBC encompasses two linked study protocols: The Preterm Birth Study serves as the baseline recruitment in the BBC. It aims to address fundamental questions about the causes and consequences of PTB. The study oversamples preterm babies using a case/control study design, in which cases are defined as mothers who deliver a preterm and/or low birthweight baby (

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are a major public health concern worldwide due to their ubiquitous exposures, environmental persistence, maternal-to-fetal transfer, and multi-organ toxicity. This pilot study aimed to generate preliminary data to inform future studies to address data gaps in the field, including early life PFAS exposure levels, longitudinal changes, determinants, and associated metabolomic alterations in understudied Black and Hispanic children in the United States (U.S.). METHODS: This study leveraged existing biosamples and data in the Boston Birth Cohort and measured 12 legacy and emerging PFAS, including Me-PFOSA-AcOH, PFDA, PFDoA, PFHxS, PFNA, PFOA, PFOS, PFUnA, GenX, ADONA, 9Cl-PF3ONS, and PFHpS, in paired cord and early childhood plasma samples. Summary statistics and graphic plots were used to depict PFAS levels at the two time points and their longitudinal changes. Linear regression models were used to identify the early-life factors associated with cord and early childhood PFAS levels. Associations of cord PFAS with cord metabolites were explored using a metabolome-wide association approach and a targeted approach. RESULTS: This study included 39 children, of whom 25 (64%) were Black, 14 (36%) were Hispanic, and 15 (38%) were female. PFOA, PFOS, PFNA, and PFHpS were detectable in all cord and early childhood plasma samples, while GenX and ADONA were not detectable in any sample. Cord PFAS levels were weakly-to-moderately correlated with early childhood PFAS levels (r = −0.03 to 0.40). Several maternal and child factors, including gestational age, year at blood collection, and race/ethnicity, were associated with cord and early childhood PFAS levels. The metabolome-wide association study and the targeted study identified several cord metabolites that may have been affected by in utero PFAS exposure. CONCLUSIONS: This pilot study found ubiquitous exposure to multiple PFAS in cord plasma (reflects in utero exposure) and in early childhood plasma (reflects both prenatal and postnatal exposure) among U.S. Black and Hispanic children. Metabolomic analysis suggests that in utero PFAS exposures may alter fetal metabolism. Future large-scale studies are needed to replicate the findings and further examine the associations of fetal PFAS exposure with long-term health outcomes and underlying metabolic pathways.

The migration of mercury pollutants is an inevitable problem in the coal pyrolysis/circulating fluidized bed (CFB) combustion-staged conversion process. To explore the influence of circulating ash ...

Named Entity Recognition (NER) from speech is among Spoken Language Understanding (SLU) tasks, aiming to extract semantic information from the speech signal. NER from speech is usually made through a two-step pipeline that consists of (1) processing the audio using an Automatic Speech Recognition (ASR) system and (2) applying an NER tagger to the ASR outputs. Recent works have shown the capability of the End-to-End (E2E) approach for NER from English and French speech, which is essentially entity-aware ASR. However, due to the many homophones and polyphones that exist in Chinese, NER from Chinese speech is effectively a more challenging task. In this paper, we introduce a new dataset AISEHLL-NER for NER from Chinese speech. Extensive experiments are conducted to explore the performance of several state-of-the-art methods. The results demonstrate that the performance could be improved by combining entity-aware ASR and pretrained NER tagger, which can be easily applied to the modern SLU pipeline. The dataset is publicly available at github.com/Alibaba-NLP/AISHELL-NER.

Ovarian cancer is a relatively common tumor in women with the highest mortality among female reproductive system tumors. The lack of apparent early symptoms and effective screening strategies often leads to ovarian cancer being diagnosed at an advanced stage. Immunotherapy relying on tumor-associated antigens might improve the treatment of ovarian cancer. Cancer-testis antigens (CTAs) are ideal tumor-associated antigens, and MAGE-A, NY-ESO-1, CT45, and Sp17 are classic CTAs highly expressed in ovarian cancer. Here, we review the research on CTAs in ovarian cancer, including prognostic value and advances in immunotherapy, all of which are essential for developing a theoretical basis for targeted therapy strategies.

Background The outbreak of Covid-19 had negative impacts on the mental stress and induced psychological distress among university students worldwide. This study proposed a moderated mediation model, and hypothesized that the Covid-19 pandemic-related stress was positively related to depressive symptoms among international medical students. Methods An online survey on stress and depressive symptoms of international students was conducted in a medical university. Questions on Covid-19 pandemic-related stress, Patient Health Quesionnaire-9, Simplified Coping Style Questionnaire and the Perceived Social Support Scale were used as measurements, and model analyses were conducted using Hayes’ PROCESS macro for SPSS. Results It was found that 9.83%, 3.08% and 2.12% students had mild, moderate and severe depressive symptoms, respectively, and the positive association between Covid-19 pandemic-related stress and depressive symptoms was significant (β = 0.27, t = 6.87, P Conclusions Results of the study suggested that under the background of continuing pandemic, intervention or prevention of mental health problem is urgently needed for the international students, and depression may be alleviated through reducing negative coping and increasing perceived social support.

The pion scalar, vector and tensor form factors are calculated within a symmetry-preserving contact interaction model (CI) of quantum chromodynamics (QCD), encompassed within a Dyson-Schwinger and Bethe-Salpeter equations approach. In addition to the traditional rainbow-ladder truncation, a modified interaction kernel for the Bethe-Salpeter equation is adopted. The implemented kernel preserves the vector and axial-vector Ward-Takahashi identities, while also providing additional freedom. Consequently, new tensor structures are generated in the corresponding interaction vertices, shifting the location of the mass poles appearing in the quark-photon and quark tensor vertex and yielding a notorious improvement in the final results. Despite the simplicity of the CI, the computed form factors and radii are compatible with recent lattice QCD simulations., Comment: 11 pages, 8 figures

The supporting material for the manuscript

We consider the trade-off problem between exploration and exploitation under finite discounted Markov Decision Process, where the state transition matrix of the underlying environment stays unknown. We propose a double Thompson sampling reinforcement learning algorithm(DTS) to solve this kind of problem. This algorithm achieves a total regret bound of $\tilde{\mathcal{O}}(D\sqrt{SAT})$in time horizon $T$ with $S$ states, $A$ actions and diameter $D$. DTS consists of two parts, the first part is the traditional part where we apply the posterior sampling method on transition matrix based on prior distribution. In the second part, we employ a count-based posterior update method to balance between the local optimal action and the long-term optimal action in order to find the global optimal game value. We established a regret bound of $\tilde{\mathcal{O}}(\sqrt{T}/S^{2})$. Which is by far the best regret bound for finite discounted Markov Decision Process to our knowledge. Numerical results proves the efficiency and superiority of our approach.

Additional file 2: Figure S1. Schematic structure of the microsimulation model. Figure S2. Model of internal validation. Internal validation of our microsimulation model shows agreement with the 4.5-year period of in-trial data across first stroke rates.

Speech Entity Linking aims to recognize and disambiguate named entities in spoken languages. Conventional methods suffer gravely from the unfettered speech styles and the noisy transcripts generated by ASR systems. In this paper, we propose a novel approach called Knowledge Enhanced Named Entity Recognition (KENER), which focuses on improving robustness through painlessly incorporating proper knowledge in the entity recognition stage and thus improving the overall performance of entity linking. KENER first retrieves candidate entities for a sentence without mentions, and then utilizes the entity descriptions as extra information to help recognize mentions. The candidate entities retrieved by a dense retrieval module are especially useful when the input is short or noisy. Moreover, we investigate various data sampling strategies and design effective loss functions, in order to improve the quality of retrieved entities in both recognition and disambiguation stages. Lastly, a linking with filtering module is applied as the final safeguard, making it possible to filter out wrongly-recognized mentions. Our system achieves 1st place in Track 1 and 2nd place in Track 2 of NLPCC-2022 Shared Task 2., Comment: Accepted to NLPCC2022, 10 pages

Additional file 1: Cost estimates for the rest of the first year or in post-CVD phase. Table S1. Lifetime cost-effectiveness results for each subgroup. Table S2. Baseline characteristics of the study participants. Table S3. Unit prices of drugs. Table S4. Costs of each treatment procedure. Table S5. Hazard ratios and parameters for scale and shape of the subgroup analysis.

Heterogeneous nanograined structures have been proposed to achieve unprecedented mechanical properties. The objective of the present work is to investigate fatigue crack growth behavior of harmonic structure designed austenitic stainless steels at room temperature. The harmonic structured SUS316L steels were produced by mechanical milling and subsequent hot isostatic pressing. Fatigue crack propagation tests were carried out under load ratio from 0.1 to 0.5. Results show that the change in fatigue crack growth rates of harmonic structured SUS316L steels is insignificant even as grain size decreases. The load ratio has little influence on the fatigue crack growth rates for harmonic structured SUS316L steels compared to their coarse-grained counterparts. It is worth mentioning that fatigue crack growth is impeded by embedded coarse grains, which results in fatigue crack deflection and secondary cracks. The continuously network shell (UFG structure) provides increased tensile strength, enhancing the fatigue crack nucleation resistance. Simultaneously, the embedded core (CG structure) restrains crack growth. Therefore, the harmonic structure design is proposed to be an effective method to achieve good balance of high strength and high ductility as well as good fatigue resistance.

Rationale: The chromosome 18p deletion syndrome is a syndrome with a deletion of all or a portion of the short arm of the chromosome 18. The phenotypes of the chromosome 18p deletion syndrome vary widely among individuals due to differences in size and breakpoints and the involved genes on the deletions. Given the varied and untypical clinical presentation of this syndrome, the prenatal diagnosis of the syndrome still presents as a challenge. Patient concerns: We described 4 China cases with different chromosomal breakpoints. In case 1, a woman who with mild phenotypes gave birth to a severely deformed fetus. Three other cases were for prenatal diagnosis. Their phenotypes are the increased nuchal translucency (INT) and the noninvasive prenatal testing (NIPT) indicated deletions on the chromosome 18p and severe hydronephrosis respectively. Diagnosis: The 4 cases were diagnosed with chromosome 18p deletion syndrome through karyotype analysis and array-based comparative genomic hybridization (array-CGH). Interventions: Karyotype analysis and array-based comparative genomic hybridization were used to analyze the abnormal chromosome. Outcomes: Case 1 and case 2 revealed 11.51 and 12.39 Mb deletions in 18p11.32p11.21. Case 3 revealed 7.1 Mb deletions in 18p11.3218p11.23. Case 4 revealed 9.9 Mb deletions in 18p11.3218p11.22. Lessons: In our report, we are the first to report that mother and progeny who have the same chromosomal breakpoint have different phenotypes, significantly. In addition, we found a new phenotype of chromosome 18p deletion syndrome in fetus, which can enrich the phenotypes of this syndrome in the prenatal diagnosis. Finally, we demonstrate that the individuals with different chromosomal breakpoints of 18p deletion syndrome have different phenotypes. On the other hand, the individuals with the same chromosomal breakpoints of 18p deletion syndrome may also have remarkably different phenotypes.

Additional file 3: Supplementary Table 2. VIP value.

Additional file 2: Supplementary Table 1. Differentially expressed lipids.

Additional file 2.

Recognizing relations between entities is a pivotal task of relational learning. Learning relation representations from distantly-labeled datasets is difficult because of the abundant label noise and complicated expressions in human language. This paper aims to learn predictive, interpretable, and robust relation representations from distantly-labeled data that are effective in different settings, including supervised, distantly supervised, and few-shot learning. Instead of solely relying on the supervision from noisy labels, we propose to learn prototypes for each relation from contextual information to best explore the intrinsic semantics of relations. Prototypes are representations in the feature space abstracting the essential semantics of relations between entities in sentences. We learn prototypes based on objectives with clear geometric interpretation, where the prototypes are unit vectors uniformly dispersed in a unit ball, and statement embeddings are centered at the end of their corresponding prototype vectors on the surface of the ball. This approach allows us to learn meaningful, interpretable prototypes for the final classification. Results on several relation learning tasks show that our model significantly outperforms the previous state-of-the-art models. We further demonstrate the robustness of the encoder and the interpretability of prototypes with extensive experiments., Comment: Accepted by ICLR 2021

Additional file 1 : Supplement Table 1. Crude and Sequentially Adjusted Associations of Maternal Age with Adverse Pregnancy Outcomes (N=8509). Supplement Table 2. Maternal age, race, nutritional status, and other characteristics associated with adverse outcomes (N=8509).

Additional file 1: Supplemental Table 1. Distributions of plasma selenium concentrations. Supplemental Table 2. Characteristics of study participants by tertiles of baseline plasma selenium concentrationsa. Supplemental Table 3. Stratified analysis of the association between plasma selenium concentrations (T3, ≥94.1 ng/mL vs. T1-2

Chromosomal translocation is a characteristic feature of human lymphoid malignancies and a driver of the initiation and progression of the disease. They arise from the mis-repair of physiological DNA double-strand breaks (DSBs) generated during the assembly and subsequent modifications of the antigen receptor gene loci, namely V(D)J recombination and class switch recombination (CSR). Mammalian cells have three DSB repair pathways –classical non-homologous end-joining (cNHEJ), alternative end-joining (A-EJ), and homologous recombination. DNA end-resection that generates a single-strand 3’ overhang is a critical regulator for the repair pathway choice. Specifically, localized end-resection prevents cNHEJ and exposes flanking microhomology (MH) to promote error-prone A-EJ. In addition to DNA repair, DNA end-resection generates extended single-strand DNA, which activates the ATR-mediated cell cycle checkpoint and indirectly contributes to genomic integrity. The central goal of my thesis research is to investigate the physiological role of DNA end-resection initiation in lymphocyte development and lymphomagenesis. DNA end-resection in mammalian cells is mostly initiated by the endonuclease activity of MRE11-RAD50-NBS1 (MRN) complex aided by CtIP. In addition, MRN protein also recruits EXO1 and DNA2 nucleases in combination with Top3 helicase complex for more extensive resection. The CtIP protein is essential for the endonuclease activity of the MRN complex that initiates DNA end-resection. CtIP is essential for embryonic development. Here I utilized B cell-specific conditional deletion models and loss-of-function mutations to investigate the role and regulation of CtIP and CtIP-mediated DNA end-resection in lymphocyte development and tumorigenesis. The level and extent of CtIP-mediated resection are tightly regulated. For the first aim, we applied the ATAC-Seq and EndSeq methods to test whether chromatin accessibility determines the level of DNA end-resection. Specially, we found that chromatin-bound DNA damage response factors – H2AX and 53BP1- reduced the accessibility of the DNA around the DSBs and antagonized end-resection. Our data also suggest that during DNA damage response, the nucleosome-free or accessible regions are more prone to secondary DNA breakages. Mechanistically, the preferential vulnerability is correlated with the availability of chromatin-bound DNA damage response factor 53BP1, which protects the nucleosome covered region at the price of the nucleosome-free regions. The work provides one explanation for tissue and cell type-specific translocations in transcriptionally active regions and super-enhancers. For the second and third aims, I investigated the role of CtIP and CtIP-mediated end-resection in lymphocyte development and lymphomagenesis in vivo using the conditional deletional CtIP allele and a phosphorylation-deficient CtIP-T855A mutant. T855 phosphorylation promotes end-resection but is not essential for cellular viability. I identified a sequence-context-dependent role of CtIP and end-resection in A-EJ mediated repair. We found that the reduced level of end-resection did not alter the frequency of the A-EJ mediated joining during B cell CSR, nor the levels of micro-homology at the junction, a defining feature of A-EJ mediated repair. These findings, for the first time, showed that DNA end-resection is not essential for A-EJ-mediated chromosomal DSBs repair nor for the generation of MH at the junction in vivo. This unexpected observation also highlights a tissue- and cell type-specific regulation of A-EJ and the importance of sequence context for A-EJ. Moreover, we found that ATM kinase suppresses A-EJ mediated translocation and reported the very first cell cycle-dependent analyses of CSR junctions. In cNHEJ-deficient B cells (e.g., Xrcc4- or DNA-PKcs- deficient), the A-EJ pathway is responsible for both the residual CSR events and the generation of the oncogenic IgH-Myc chromosomal translocations. In the last chapter, I determined how CtIP contributes to oncogenesis using the CtIP-T855A phospho-deficient mouse model. The result showed that CtIP T855 phosphorylation is critical for the neonatal development of Xrcc4-/-p53-/- mice and IgH-Myc translocation driven lymphomagenesis in DNA-PKcs-/-Tp53-/- mice. Mechanistically, phospho-deficient CtIP compromises the extent of end-resection without affecting the initiation. Reduced end-resection in CtIP-T855A mice and cells attenuated G2/M checkpoints and reduced the tolerance to the oncogene-induced replication stress, thereby limit lymphomagenesis. Collectively, our data provided the first in vivo characterization for the role of CtIP and its related end-resection pathway in lymphocyte development and lymphomagenesis. The results highlight the importance of end-resection for checkpoint maintenance (§ 4) and the context-dependent regulation of A-EJ and DNA repair pathway choice in vivo (§ 3), explaining why A-EJ is more robust at the repetitive switch regions. Finally, the application of HTGTS, EndSeq, and ATAC-Seq technologies in lymphocyte-specific gene rearrangements markedly improved the analysis depth and sensitivity while reducing the cost of repair-junction sequencing, allowing the quantitative detection of subtle changes and additional mechanistic insights. Specifically, we showed that end-resection could be regulated at the level of chromatin accessibility, which is determined by both baseline chromatin occupancy and DNA damage-induced changes (§ 2). These findings provide one explanation for the tissue and cell type-specificity of translocation targeting. These techniques can be used to analyze the impact of other DNA repair factors during lymphocyte development and lymphomagenesis and in translocation in general.

Additional file 1: Fig. S1. The non-significant lipid count between groups. There are no significant differences in all group comparisons. Fig. S2. Chain length of lipid subtypes between groups. Significant differences are marked with an asterisk, and no significant differences are not marked. Fig. S3 Chain unsaturation of lipid subtypes between groups. Significant differences are marked with an asterisk.

The valence-quark distribution function of the pion has been of interest for decades; particularly, the profile it should adopt when (the large-x behavior) has been the subject of a long-standing debate. In the light-front holographic QCD (LFHQCD) approach, this behavior is controlled by the so-called reparametrization function, , which is not fully determined from first principles. We show that, owing to the flexibility of , the large-x profile can be contained within the LFHQCD formalism. This is in contrast to a previous LFHQCD study (Guy F. de Teramond et al., Phys. Rev. Lett., 120(18), 2018) in which was found instead. Given our observations, augmented by perturbative QCD and recent lattice QCD results, we state that the large-x exponent of “2” cannot be excluded.

Nowadays, it is of interest to enhance the strength of metals for light-weight design of nuclear reactor, so the objective of the present study is to improve the mechanical properties of SUS316LN steel through grain refinement. The nanostructured SUS316LN steels were produced by high pressure torsion (HPT) at room temperature. The variations of microstructure and strain-induced martensite transformation during HPT were investigated. The homogeneous nanostructured SUS316LN steel with an average grain size of approximately 40 nm was achieved by HPT for 5 revolutions under a pressure of 5 GPa, which demonstrated extremely high tensile strength (1828 MPa) and high hardness (530 HV). The interstitial nitrogen atoms can reduce the stacking fault energy of the material and also play an important role in interaction with mobile dislocations during HPT. Therefore, compared to SUS316L steel, the formation of the nanograined structure was much faster and the strain-induced martensite transformation was restrained in the HPT-produced SUS316LN steel.

Objective: Τo investigate the effect of NF-kB signaling pathway on the expression of MIF, TNF-α, and IL-6 in the regulation of disc degeneration. Methods: The disc tissue was taken from 56 patients with cervical spondylosis. According to the preoperative MRI and intraoperative disc herniation, the patients were divided into two groups: degeneration group and herniation group. The control group was 34 patients with cervical trauma with no history of cervical spondylosis. According to the preoperative JOA scores of cervical spondylosis, patients were divided into three groups: mild, moderate and severe. ELISA was used to detect the expression of MIF, IL-6, and TNF-α in the cervical intervertebral disc. NF-kB mRNA expression in the intervertebral disc was detected by qRT-PCR. Results: The expression levels of NF-kB mRNA, MIF, IL-6 and TNF-α in the control group were significantly higher than those in the degeneration group and the herniation group (p

As an important renewable bioresource, it is extremely important to find an efficient utilization approach for microalgae. During the main utilization method of pyrolysis process, a large number of high value-added products are wasted. In this article, extract-pyrolysis cascading utilization technical scheme was proposed and explored. The extract characteristic of microalgae using different solvents under mild condition were investigated. The selected solvents include conventional organic solvents and green solvent ionic liquids (ILs).The organic solvents were ethyl alcohol (EA), tetrahydrofuran (THF), pyridine (Py) and ILs were 3-dimethylamine propylamine formate (DMAPAF), diethylamine formate (DEAF), triethylamine formate (TEAF). ILs obtained higher extraction yields and wider varieties of compounds than organic solvents. Among them, TEAF possessed highest extraction yield of 22.97 % and oxygen-containing compounds account for 47.24 % of the extracts. The cross-linking bonds between the macromolecular structures of chlorella were destroyed after extraction. The product distribution of the subsequent pyrolysis process changed significantly. Compared with RAWC, the relative content of aromatic compounds and phenols in pyrolysis bio-oil increased, while the relative content of aliphatic compounds and nitrogen-containing compounds decreased. The total liquid yields increased through extract-pyrolysis cascading utilization, with the highest value of 58.51 % for TEAF.

Conference proceedings article for the 53rd ESLAB Symposium entitled "The Gaia Universe"

This paper describes DM-NLP’s system for toponym resolution task at Semeval 2019. Our system was developed for toponym detection, disambiguation and end-to-end resolution which is a pipeline of the former two. For toponym detection, we utilized the state-of-the-art sequence labeling model, namely, BiLSTM-CRF model as backbone. A lot of strategies are adopted for further improvement, such as pre-training, model ensemble, model averaging and data augment. For toponym disambiguation, we adopted the widely used searching and ranking framework. For ranking, we proposed several effective features for measuring the consistency between the detected toponym and toponyms in GeoNames. Eventually, our system achieved the best performance among all the submitted results in each sub task.

Rationale The chromosome 18p deletion syndrome is a syndrome with a deletion of all or a portion of the short arm of the chromosome 18. The phenotypes of the chromosome 18p deletion syndrome vary widely among individuals due to differences in size and breakpoints and the involved genes on the deletions. Given the varied and untypical clinical presentation of this syndrome, the prenatal diagnosis of the syndrome still presents as a challenge. Patient concerns We described 4 China cases with different chromosomal breakpoints. In case 1, a woman who with mild phenotypes gave birth to a severely deformed fetus. Three other cases were for prenatal diagnosis. Their phenotypes are the increased nuchal translucency (INT) and the noninvasive prenatal testing (NIPT) indicated deletions on the chromosome 18p and severe hydronephrosis respectively. Diagnosis The 4 cases were diagnosed with chromosome 18p deletion syndrome through karyotype analysis and array-based comparative genomic hybridization (array-CGH). Interventions Karyotype analysis and array-based comparative genomic hybridization were used to analyze the abnormal chromosome. Outcomes Case 1 and case 2 revealed 11.51 and 12.39 Mb deletions in 18p11.32p11.21. Case 3 revealed 7.1 Mb deletions in 18p11.3218p11.23. Case 4 revealed 9.9 Mb deletions in 18p11.3218p11.22. Lessons In our report, we are the first to report that mother and progeny who have the same chromosomal breakpoint have different phenotypes, significantly. In addition, we found a new phenotype of chromosome 18p deletion syndrome in fetus, which can enrich the phenotypes of this syndrome in the prenatal diagnosis. Finally, we demonstrate that the individuals with different chromosomal breakpoints of 18p deletion syndrome have different phenotypes. On the other hand, the individuals with the same chromosomal breakpoints of 18p deletion syndrome may also have remarkably different phenotypes.

Recent studies have shown an increase or even outbreaks of jellyfish in many bays and seas around the world, which has a negative impact on the marine ecological environment, marine fisheries, coastal tourism, nuclear safety and so on. In August 2017, the self-developed shipborne polarized oceanic lidar carried out experimental measurements in the Yellow Sea. Rich strongly scattered individual signals were observed. Combined with the video monitor information, the signals were determined to come from the jellyfish (Nemopilema nomurai), demonstrating the polarized oceanic lidar is available to realize the remote sensing detection of jellyfish. The results show that the optical properties of jellyfish in the same waters show clustering. The signal contrast distribution of jellyfish in different waters was similar, and the distribution of depolarization rate was different, indicating that the optical properties of jellyfish were closely related to the water environment where they lived. As a result, the polarized oceanic lidar can monitor the distribution and population changes of jellyfish efficiently, economically and accurately and its future promotion can improve the dynamic monitoring methods of jellyfish in Chinese waters.

To solve the problem in conventional technologies of analysis and integration in micro scale of reservoir core, virtual reality and visualization technology can be used in the research of reservoir core microstructure. Integrated with practical research and application works, the modeling method of reservoir core and the database store method of microstructure model are analyzed and discussed. A skeleton extraction algorithm based on maximum circumsphere method is proposed to achieve the skeleton model construction of reservoir core. And the visualization of reservoir core microstructure which includes the visualizations of voxel model, surface model, solid model and skeleton model of reservoir core are realized based on OpenGL graphics library. Taking a carbonate as a case study, we develop a set of software named “visualization system of reservoir core microstructure”, which is an effective evidence in the application to scientific research of reservoir core microstructure.

Supplemental Digital Content is available in the text., Background: Warfarin is an effective treatment for thromboembolic disease but has a narrow therapeutic index; optimal anticoagulation dosage can differ tremendously among individuals. We aimed to evaluate whether genotype-guided warfarin dosing is superior to routine clinical dosing for the outcomes of interest in Chinese patients. Methods: We conducted a multicenter, randomized, single-blind, parallel-controlled trial from September 2014 to April 2017 in 15 hospitals in China. Eligible patients were ≥18 years of age, with atrial fibrillation or deep vein thrombosis without previous treatment of warfarin or a bleeding disorder. Nine follow-up visits were performed during the 12-week study period. The primary outcome measure was the percentage of time in the therapeutic range of the international normalized ratio during the first 12 weeks after starting warfarin therapy. Results: A total of 660 participants were enrolled and randomly assigned to a genotype-guided dosing group or a control group under standard dosing. The genotype-guided dosing group had a significantly higher percentage of time in the therapeutic range than the control group (58.8% versus 53.2% [95% CI of group difference, 1.1–10.2]; P=0.01). The genotype-guided dosing group also achieved the target international normalized ratio sooner than the control group. In subgroup analyses, warfarin normal sensitivity group had an even higher percentage of time in the therapeutic range during the first 12 weeks compared with the control group (60.8% versus 48.9% [95% CI, 1.1–24.4]). The incidence of adverse events was low in both groups. Conclusions: The outcomes of genotype-guided warfarin dosing were superior to those of clinical standard dosing. These findings raise the prospect of precision warfarin treatment in China. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02211326.

Aiming at locating and sizing of wind generation and energy storage in power system planning stage simultaneously, a bi-level optimization model is constructed. The first stage is mainly used to allocate the capacity of wind farms considering the total cost of establishment, operation and maintenance from both wind generation and energy storage. The second stage is applied for allocating energy storage to address the violations of wind generation. Robust optimization theory and genetic algorithm are used to solve the model. The effectiveness of the proposed model is validated by the Garver’s 6-bus system.

In this paper, a spaceborne oceanic lidar simulation system used semianalytic Monte Carlo method was developed. The system can simulate the lidar returns of the atmosphere and the ocean with different optical properties through entering the parameters of the lidar system and the environmental parameters. At the same time, a user-friendly software interface for users was designed to operate input parameters and observe the output results intuitively. A variety of simulations was done, such as different types of water and different scattering phase functions. The simulation results were highly consistent with the theoretical lidar equations. The system was important to the research on the detection mechanism of spaceborne oceanic lidars.

Leptin is a proinflammatory cytokine that plays an important role in energy homeostasis. Emerging evidence suggests that leptin levels are altered in children with autism spectrum disorder (ASD); however, this has not been studied prospectively. Rapid growth during infancy and early childhood has been implicated in ASD, but the evidence is inconsistent. As leptin is involved in growth and is a potential risk factor for ASD, we explored the associations between (a) cord, early childhood leptin and ASD; and (b) birth weight for gestational age, early childhood weight gain, and ASD. We also assessed the mediating role of leptin in the relationship between weight gain during infancy and ASD. This study was conducted in a sample of 822 subjects from the Boston Birth Cohort. ASD was defined from diagnostic codes in electronic medical records. Extremely rapid weight gain during infancy was associated with a greater ASD risk and this persisted after adjusting for potential confounders (aOR: 3.11; 95% CI: 1.37, 7.07). Similarly, children that had higher plasma leptin levels, prior to ASD diagnosis, had an increased ASD risk in both unadjusted and adjusted models (aOR: 7.87; 95% CI: 2.06, 30.04). Further, early childhood leptin indirectly mediated the relationship between rapid weight gain and ASD. No associations were found between birth weight for gestational age, cord leptin and risk of ASD. Our findings provide a basis to further explore whether the combination of early life growth pattern and a biomarker such as leptin can predict ASD earlier. Autism Res 2018, 11: 1416-1431. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Is early life growth and a biomarker leptin related to ASD risk? To answer this question, we followed 822 children from birth and found that those who gained weight very quickly in infancy, had higher leptin levels in early childhood, had a greater chance of later ASD diagnosis. More research is needed to see if infant's weight gain pattern along with a biomarker (such as leptin) can be used to identify children with ASD sooner.