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Artificial Text Detection with Multiple Training Strategies
[article]
2022
arXiv
pre-print
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As the deep learning rapidly promote, the artificial texts created by generative models are commonly used in news and social media. However, such models can be abused to generate product reviews, fake news, and even fake political content. The paper proposes a solution for the Russian Artificial Text Detection in the Dialogue shared task 2022 (RuATD 2022) to distinguish which model within the list is used to generate this text. We introduce the DeBERTa pre-trained language model with multiple
arXiv:2212.05194v1
fatcat:xikky2xkdrg3voubifc454ofq4
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... aining strategies for this shared task. Extensive experiments conducted on the RuATD dataset validate the effectiveness of our proposed method. Moreover, our submission ranked second place in the evaluation phase for RuATD 2022 (Multi-Class).
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
[article]
2023
arXiv
pre-print
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Song, F. ...
arXiv:2308.15300v1
fatcat:soxgvzl3kbdtbi5tifhomy3eti
Assessing Knowledge Editing in Language Models via Relation Perspective
[article]
2023
arXiv
pre-print
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Knowledge Editing (KE) for modifying factual knowledge in Large Language Models (LLMs) has been receiving increasing attention. However, existing knowledge editing methods are entity-centric, and it is unclear whether this approach is suitable for a relation-centric perspective. To address this gap, this paper constructs a new benchmark named RaKE, which focuses on Relation based Knowledge Editing. In this paper, we establish a suite of innovative metrics for evaluation and conduct
arXiv:2311.09053v1
fatcat:j3yoighnq5bdtf2xbd7j22n5aq
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... experiments involving various knowledge editing baselines. We notice that existing knowledge editing methods exhibit the potential difficulty in their ability to edit relations. Therefore, we further explore the role of relations in factual triplets within the transformer. Our research results confirm that knowledge related to relations is not only stored in the FFN network but also in the attention layers. This provides experimental support for future relation-based knowledge editing methods.
Measuring Well-Being of Migrant Gig Workers: Exampled as Hangzhou City in China
2022
Behavioral Sciences
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The consistent innovations and applications of information technology drive the vigorous development of the gig economy, and generate gig workers such as food delivery workers and couriers, and make a great contribution to stabilizing employment and increasing income. Gig workers, mostly made up of migrants, and suffer from job and status difficulties. Research on the well-being of migrant gig workers can reveal the practical problems and provide suggestions for narrowing the wealth gap to
doi:10.3390/bs12100365
fatcat:yizg6apqgfb65k53n5mtamrp44
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... te social fairness and justice. Taking Hangzhou city in China as an example, this paper explores the well-being of food delivery workers, couriers, and online car-hailing drivers as representatives of migrant gig workers. Firstly, the relevant data are acquired through the questionnaire. Secondly, the characteristics of this group are analyzed through descriptive analysis, namely: most of them are migrant workers aged between 20 and 39with low occupation satisfaction due to insufficient social security coverage and limited well-being, despite relatively high income. Based on the analysis of differences in demographic variables and structural equation modeling, the factors affecting the well-being of migrant gig workers are studied, which mainly are occupation satisfaction, social interaction, and social security. The results show that occupation satisfaction is positively affected by family characteristics, social interaction, and social security. In addition, family characteristics and social security positively impact social interaction, but the former has no significant effect on well-being. Finally, this paper enriches the research on the well-being of specific migrant gig workers and gives policy suggestions for enhancing the well-being of migrant gig workers in Hangzhou city from the perspective of optimizing the mechanism, pilot construction, and platform provision.
A Character-level Span-based Model for Mandarin Prosodic Structure Prediction
[article]
2022
arXiv
pre-print
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The accuracy of prosodic structure prediction is crucial to the naturalness of synthesized speech in Mandarin text-to-speech system, but now is limited by widely-used sequence-to-sequence framework and error accumulation from previous word segmentation results. In this paper, we propose a span-based Mandarin prosodic structure prediction model to obtain an optimal prosodic structure tree, which can be converted to corresponding prosodic label sequence. Instead of the prerequisite for word
arXiv:2203.16922v1
fatcat:2y5nnmmuzzcstnzhtf4u6ncyl4
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... tation, rich linguistic features are provided by Chinese character-level BERT and sent to encoder with self-attention architecture. On top of this, span representation and label scoring are used to describe all possible prosodic structure trees, of which each tree has its corresponding score. To find the optimal tree with the highest score for a given sentence, a bottom-up CKY-style algorithm is further used. The proposed method can predict prosodic labels of different levels at the same time and accomplish the process directly from Chinese characters in an end-to-end manner. Experiment results on two real-world datasets demonstrate the excellent performance of our span-based method over all sequence-to-sequence baseline approaches.
CAR-T Therapy: A Promising Cancer Treatment
2022
Highlights in Science Engineering and Technology
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CAR-T therapy is a new clinical treatment option. It is the focus of an increasing number of researches, all of which suggested that it has a beneficial therapeutic effect on a variety of diseases, especially blood cancer. In this paper, clinic applications of CAR-T therapy for many diseases are listed, including B-cell acute lymphoblastic leukemia, Hepatitis B, and Human Immunodeficiency Virus. The differences between CAR-T therapy and other cancer treatments like tumor-infiltrating lymphocyte
doi:10.54097/hset.v8i.1116
fatcat:ty33tsm26zfjlhdcaqelfdpwsa
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... and T cell receptor therapy were discussed, standard biological medicines, and antibody-mediated anti-cancer drugs. The study also looks at the limitations and side-effects of CAR-T therapy, such as toxicity, and missing the target. The disadvantages, constraints, and options for improvement were also discussed in the paper. To summarize, CAR-T therapy has a good therapeutic function on some illnesses, although it is still in the experimental stage and is not commonly used in the clinic. In the near future, CAR-T therapy is likely to be used in a rising range of therapeutic therapies. In general, this paper can help get a better knowledge of CAR-T treatment, as well as a more exact comprehension of its future evolution.
Coexisting Attractors and Multistability in a Simple Memristive Wien-Bridge Chaotic Circuit
2019
Entropy
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In this paper, a new voltage-controlled memristor is presented. The mathematical expression of this memristor has an absolute value term, so it is called an absolute voltage-controlled memristor. The proposed memristor is locally active, which is proved by its DC V–I (Voltage–Current) plot. A simple three-order Wien-bridge chaotic circuit without inductor is constructed on the basis of the presented memristor. The dynamical behaviors of the simple chaotic system are analyzed in this paper. The
doi:10.3390/e21070678
pmid:33267392
pmcid:PMC7515175
fatcat:f4khqq6h2fakbgwpjnekbqegqq
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... ain properties of this system are coexisting attractors and multistability. Furthermore, an analog circuit of this chaotic system is realized by the Multisim software. The multistability of the proposed system can enlarge the key space in encryption, which makes the encryption effect better. Therefore, the proposed chaotic system can be used as a pseudo-random sequence generator to provide key sequences for digital encryption systems. Thus, the chaotic system is discretized and implemented by Digital Signal Processing (DSP) technology. The National Institute of Standards and Technology (NIST) test and Approximate Entropy analysis of the proposed chaotic system are conducted in this paper.
Fuzzy Inference and Manifold Regularization Combined Feature Transfer Learning
2020
Jisuanji kexue yu tansuo
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Transfer learning leverages the rich data in the source domain to provide support for building accurate models in the target domain. Feature transfer learning is a kind of widely studied technology in transfer learning, but the existing feature transfer methods are facing with the following problems. Firstly, some existing methods can only implement linear feature transfer learning, so the ability of these methods to transfer learning is limited. Secondly, other kinds of methods can achieve
doi:10.3778/j.issn.1673-9418.1811036
doaj:9a68c7cf2d30443aae8f64d093f13fc5
fatcat:epfh4l4rpbbhjgrmtds5yrjidq
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... inear feature transfer learning, while it is often necessary to introduce strategies such as kernel techniques, which makes the process of feature transfer difficult to understand. In view of these problems, this paper introduces fuzzy reasoning technology and proposes a feature transfer method based on uncertain reasoning rules. The proposed method uses fuzzy inference system to realize feature transfer and uses manifold regularization to avoid information loss during feature transfer learning. Because the fuzzy system has good nonlinear modeling ability and good interpretation, the proposed method has good nonlinear feature transfer ability and is easy to understand the obtained new features. A large number of experiments have proven that the proposed method can be significantly better than the existing methods in the cross-domain image classification problem.
Optimizing and benchmarking polygenic risk scores with GWAS summary statistics
[article]
2022
bioRxiv
pre-print
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We introduce an innovative statistical framework to optimize and benchmark polygenic risk score (PRS) models using summary statistics of genome-wide association studies. This framework builds upon our previous work and can fine-tune virtually all existing PRS models while accounting for linkage disequilibrium. In addition, we provide an ensemble learning strategy named PUMA-CUBS to combine multiple PRS models into an ensemble score without requiring external data for model fitting. Through
doi:10.1101/2022.10.26.513833
fatcat:wz66uqbyynav5emsfcjahf4wrm
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... sive simulations and analysis of many complex traits in the UK Biobank, we demonstrate that this approach closely approximates gold-standard analytical strategies based on external validation, and substantially outperforms state-of-the-art PRS methods. We argue that PUMA-CUBS is a powerful and general modeling technique that can continue to combine the best-performing PRS methods out there through ensemble learning and could become an integral component for all future PRS applications.
The revalidation of Otostigmus (O.) lewisi Song et al., 2005 (Scolopendromorpha, Scolopendridae) based on new material from Jiacha County, China
2022
ZooKeys
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The latter was also recorded from Jilong County (Xizang, China) by Song et al. (2005). Following a comparison of O. (O.) beroni from Jilong County with new materials of O. ...
Song, Gai, Song & Zhu, 2005 (Revalidated name) Figs Material examined. Ar.-MHBU-SoJC1908060301-Ar. ...
Otostigmus (O.) lewisi Song et al., 2005. (Ar. ...
doi:10.3897/zookeys.1088.77703
pmid:35437366
pmcid:PMC8917117
fatcat:3dbmxhzznfgo7g2bjghksi3qbq
Condensation polymers: synthesis, properties, and applications
2021
E3S Web of Conferences
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With the widening of the application fields of polycondensation polymers, many types of modifiers have been used to modify the molecular structure of polycondensation polymers. In recent years, more and more researchers have focused on the study of the molecular structure modification of polycondensation polymers and gradually ignored the research on the synthesis methods and properties of polycondensation polymers. This review covers the synthesis strategies of four common polycondensation
doi:10.1051/e3sconf/202129001025
fatcat:35s5fne6i5d75km5nfj4nu6hdq
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... mers in the market, including polyamide (PA), polycarbonate (PC), polyester (PET), and phenolic resin. Two general synthesis routes of PET starting from dimethyl terephthalate and terephthalic acid were suggested; the synthesis strategies of PA-66 and PA-6 were discussed; the synthesis methods of aromatic PC from bisphenol A polycarbonate by phosgene or transesterification were summarized; the general synthesis methods of thermoplastic phenolic resin and thermosetting phenolic resin were discussed. In addition, some new synthesis methods and modification methods of these polycondensation polymers were reviewed. Besides, the properties, application, and market value of these polycondensation polymers were summarized. It is hoped that it will be helpful for the new synthesis of polycondensation polymers.
Representation of Drosophila larval behaviors by muscle activity patterns
[article]
2021
bioRxiv
pre-print
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How muscle actions are coordinated to realize animal movement is a fundamental question in behavioral study. To obtain the overall muscular activity patterns accompanying behaviors at high spatiotemporal resolution is technically difficult. In this work, we used light sheet microscopy to simultaneously image and analyze the activity, length and orientation of Drosophila larval muscles across body segments at single muscle resolution in nearly free behaviors. For typical behavioral modes such as
doi:10.1101/2021.11.26.470133
fatcat:akssls7xmzfi7lee46pj2vp234
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... peristalsis, head cast and turning, larval muscles showed behavioral mode specific activity patterns. Unexpectedly, reorientation of larval head involves muscle tone in the apparently motionless posterior segments. With a STGCN(spatial temporal graph convolution neural network)-Generator model, sequence of larval behavioral poses outlined by morphological patterns of muscles could be accurately predicted based on the time series of ventral but not dorsal muscle activities, and vice versa. Laser ablation of ventral but not dorsal muscles interrupted peristaltic wave and undermined head cast in both frequency and amplitude. Our results provide a simplified muscle activity representation of soft body motion that can be used for probing the key components of animal motor control.
A case of mesothelioma of the atrioventricular node
1997
Chinese Journal of Cancer Research
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Impacts of Climate and Environmental Change on Bean Cultivation in China
2021
Atmosphere
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The impact of human-caused environmental pollution and global climate change on the economy and society can no longer be underestimated. Agriculture is the most directly and vulnerably affected sector by climate change. This study used beans, the food crop with the largest supply and demand gap in China, as the research object and established a panel spatial error model consisting of multiple indicators of four factors: climate environment, economic market, human planting behavior and technical
doi:10.3390/atmos12121591
fatcat:qffqheqdq5b35fab4tzayehbjm
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... development level of 25 provinces in China from 2005 to 2019 to explore the impact of climate environmental changes on the yields of beans. The study shows that: (1) The increase in precipitation has a significant positive effect on bean yields; however, the increase in temperature year by year has a significant negative effect on bean yields; (2) carbon emissions do not directly affect bean production at present but may have an indirect impact on bean production; (3) artificial irrigation and fertilization behavior on bean production has basically reached saturation, making it difficult to continue to increase bean yields and (4) the development of technology and human activity is a mixed blessing, and the consequent inhibiting effects on bean production are currently unable to offset their promoting effects. Thus, when it comes to bean cultivation, China should focus mainly on the overall impact of environmental changes on its production, rather than technical enhancements such as irrigation and fertilization.
Advances in motion control of gas pipeline detection robot
2019
Science China Technological Sciences
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