Meta-Learning For Vision-and-Language Cross-lingual Transfer

Current pre-trained vison-language models (PVLMs) achieve excellent performance on a range of multi-modal datasets. Recent work has aimed at building multilingual models, and a range of novel multilingual multi-modal datasets have been proposed. Current PVLMs typically perform poorly on these datasets when used for multi-modal zero-shot or few-shot cross-lingual transfer, especially for low-resource languages. To alleviate this problem, we propose a novel meta-learning fine-tuning framework. Our framework makes current PVLMs rapidly adaptive to new languages in vision-language scenarios by designing MAML in a cross-lingual multi-modal manner. Experiments show that our method boosts the performance of current state-of-the-art PVLMs in both zero-shot and few-shot cross-lingual transfer on a range of vision-language understanding tasks and datasets (XVNLI, xGQA, MaRVL, xFlicker&C

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models

We are currently in an era of fierce competition among various large language models (LLMs) continuously pushing the boundaries of benchmark performance. However, genuinely assessing the capabilities of these LLMs has become a challenging and critical issue due to potential data contamination, and it wastes dozens of time and effort for researchers and engineers to download and try those contaminated models. To save our precious time, we propose a novel and useful method, Clean-Eval, which mitigates the issue of data contamination and evaluates the LLMs in a cleaner manner. Clean-Eval employs an LLM to paraphrase and back-translate the contaminated data into a candidate set, generating expressions with the same meaning but in different surface forms. A semantic detector is then used to filter the generated low-quality samples to narrow down this candidate set. The best candidate is finally selected from this set based on the BLEURT score. According to human assessment, this best candidate is semantically similar to the original contamination data but expressed differently. All candidates can form a new benchmark to evaluate the model. Our experiments illustrate that Clean-Eval substantially restores the actual evaluation results on contaminated LLMs under both few-shot learning and fine-tuning scenarios

The signs of computer tomography combined with artificial intelligence can indicate the correlation between status of consciousness and primary brainstem hemorrhage of patients

BackgroundFor patients of primary brainstem hemorrhage (PBH), it is crucial to find a method that can quickly and accurately predict the correlation between status of consciousness and PBH.ObjectiveTo analyze the value of computer tomography (CT) signs in combination with artificial intelligence (AI) technique in predicting the correlation between status of consciousness and PBH.MethodsA total of 120 patients with PBH were enrolled from August 2011 to March 2021 according to the criteria. Patients were divided into three groups [consciousness, minimally conscious state (MCS) and coma] based on the status of consciousness. Then, first, Mann–Whitney U test and Spearman rank correlation test were used on the factors: gender, age, stages of intracerebral hemorrhage, CT signs with AI or radiology physicians, hemorrhage involving the midbrain or ventricular system. We collected hemorrhage volumes and mean CT values with AI. Second, those significant factors were screened out by the Mann–Whitney U test and those highly or moderately correlated by Spearman’s rank correlation test, and a further ordinal multinomial logistic regression analysis was performed to find independent predictors of the status of consciousness. At last, receiver operating characteristic (ROC) curves were drawn to calculate the hemorrhage volume for predictively assessing the status of consciousness.ResultsPreliminary meaningful variables include hemorrhage involving the midbrain or ventricular system, hemorrhage volume, grade of hematoma shape and density, and CT value from Mann–Whitney U test and Spearman rank correlation test. It is further shown by ordinal multinomial logistic regression analysis that hemorrhage volume and hemorrhage involving the ventricular system are two major predictors of the status of consciousness. It showed from ROC that the hemorrhage volumes of <3.040 mL, 3.040 ~ 6.225 mL and >6.225 mL correspond to consciousness, MCS or coma, respectively. If the hemorrhage volume is the same, hemorrhage involving the ventricular system should be correlated with more severe disorders of consciousness (DOC).ConclusionCT signs combined with AI can predict the correlation between status of consciousness and PBH. Hemorrhage volume and hemorrhage involving the ventricular system are two independent factors, with hemorrhage volume in particular reaching quantitative predictions

Medical insurance payment schemes and patient medical expenses: a cross-sectional study of lung cancer patients in urban China

BackgroundAs the main cause of cancer death, lung cancer imposes seriously health and economic burdens on individuals, families, and the health system. In China, there is no national study analyzing the hospitalization expenditures of different payment methods by lung cancer inpatients. Based on the 2010-2016 database of insured urban resident lung cancer inpatients from the China Medical Insurance Research Association (CHIRA), this paper aims to investigate the characteristics and cost of hospitalized lung cancer patient, to examine the differences in hospital expenses and patient out-of-pocket (OOP) expenses under four medical insurance payment methods: fee-for-service (FFS), per-diem payments, capitation payments (CAP) and case-based payments, and to explore the medical insurance payment method that can be conducive to controlling the cost of lung cancer.MethodThis is a 2010-2016, 7-year cross-sectional study. CHIRA data are not available to researchers after 2016. The Medical Insurance Database of CHIRA was screened using the international disease classification system to yield 28,200 inpatients diagnosed with lung cancer (ICD-10: C34, C34.0, C34.1, C34.2, C34.3, C34.8, C34.9). The study includes descriptive analysis and regression analysis based on generalized linear models (GLM).ResultsThe average patient age was 63.4 years and the average length of hospital stay (ALOS) was 14.2 day; 60.7% of patients were from tertiary hospitals; and 45% were insured by FFS. The per-diem payment had the lowest hospital expenses (RMB7496.00/US$1176.87), while CAP had the lowest OOP expenses (RMB1328.18/US$208.52). Compared with FFS hospital expenses, per-diem was 21.3% lower (95% CI = -0.265, -0.215) and case-based payment was 8.4% lower (95% CI = -0.151, -0.024). Compared with the FFS, OOP expenses, per-diem payments were 9.2% lower (95% CI = -0.130, -0.063) and CAP was 15.1% lower (95% CI = -0.151, -0.024).ConclusionFor lung cancer patients, per-diem payment generated the lowest hospital expenses, while CAP meant patients bore the lowest OOP costs. Policy makers are suggested to give priority to case-based payments to achieve a tripartite balance among medical insurers, hospitals, and insured members. We also recommend future studies comparing the disparities of various diseases for the cause of different medical insurance schemes

A novel design on multi-layer satellite constellation network

With the increasing demand of space technology,the traditional single layer satellite constellation network is restricted in the development of future space technology because of its simple structure.For this reason,more and more researchers have carried out the research on the multi-layer satellite constellation network in recent years.This paper put forward a new GEO/MEO/LEO satellite constellation design based on the advantages of multi-layer satellite constellation to achieve full coverage of the earth with as little satellites as possible.It is more stereo than traditional style.Finally,we use STK and MATLAB to realize the digital simulation of this design.The rationality and effectiveness of this design are verified by comparison and analysis of the length of the satellite link,the communication pitch angle and azimuth angle

Xichong Holiday Resort Resource Flow Map: Towards a circular economy in Shenzhen, China

Located in Longgang District of Shenzhen City, Xichong Holiday Resort offers a multi-functional beach resort for both local citizens and tourists. Besides water sports, the resort provides accommodation, dining and various outdoor activities such as camping. In peak tourist seasons, the resort not only needs to deal with large crowds of people, but it also needs to handle waste collection and disposal. This systems map documents preliminary research conducted by students in the School of Design, Southern University of Science and Technology. It examines the resort’s current approach to sustainable operation and management and forms the basis for new proposals to help improve it. In response to our findings, we aim to propose feasible and effective responses to the resort’s current waste generation and disposal challenges. Our research and design focused on the restaurant and beach area of Xichong Resort, including the popular camping area, restaurants and the beach. Based on on-site observations and interviews, we systematically examined where waste comes from and goes to and how different crowds of people generate different kinds of waste. Through this preliminary analysis, we hope to contribute to the sustainable future development of the resort. One of the biggest problems related to current waste disposal strategies in the resort is the microplastics problem, particularly noticeable on the beach. Local visitors, as well as tourists, carry large amounts of plastic products to the beach. While most are collected after being discarded for disposal in landfills or burnt for power generation, some amount of plastics still washes into the ocean. Much of this waste consists of either plastic bottles or plastic bags. Once plastic bottles are thrown into the ocean, they will degrade into microplastics through the sun, wind and water. This leads to microplastics being consumed by marine animals and eventually accumulating throughout the food chain. Soon enough, they will also accumulate in human bodies

Cellular growth during rapid directional solidification: Insights from quantitative phase field simulations

In this paper, columnar cellular growth with kinetic effects including kinetic undercooling and solute trapping in rapid directional solidification of alloys was investigated by using a recent quantitative phase-field model for rapid solidification. Morphological transition and primary spacing selection with and without kinetic effects were numerically investigated. Numerical results show that doublon structure is an intermediate state in the primary spacing adjustment of cellular arrays. It was found that the inclusions of kinetic effects result in the increase of the solute in the solid phase and the solute enrichment in the interdendritic liquid channel. Moreover, predicted results indicate that the growth directions of the cellular arrays in rapid directional solidification with and without kinetic effects are independent of the Peclet number. Therefore, the kinetic effects play important roles in numerical simulations of the growth pattern selection and solute distribution during rapid solidification. Neglecting them will result in the inaccurately predicted results

Genetic Polymorphisms Associated with Prothrombin Time and Activated Partial Thromboplastin Time in Chinese Healthy Population

(1) Background: The purpose of this study was to evaluate the effect of gene polymorphisms on prothrombin time (PT) and activated partial thromboplastin time (APTT) in a healthy Chinese population. (2) Methods: A total of 403 healthy volunteers from a series of novel oral anticoagulants (NOACs) bioequivalence trials in China were included. Coagulation tests for PT and APTT were performed in the central lab at Peking University First Hospital. Whole-exome sequencing (WES) and genome-wide association analysis were performed. (3) Results: In the correlation analysis of PT, 105 SNPs from 84 genes reached the genome-wide significance threshold (p < 1 × 10−5). Zinc Finger Protein 594 (ZNF594) rs184838268 (p = 4.50 × 10−19) was most significantly related to PT, and Actinin Alpha 1 (ACTN1) was found to interact most with other candidate genes. Significant associations with previously reported candidate genes Aurora Kinase B (AURKB), Complement C5(C5), Clock Circadian Regulator (CLOCK), and Histone Deacetylase 9(HDAC9) were detected in our dataset (p < 1 × 10−5). PiggyBac Transposable Element Derived 2(PGBD2) rs75935520 (p = 4.49 × 10−6), Bromodomain Adjacent To Zinc Finger Domain 2A(BAZ2A) rs199970765 (p = 5.69 × 10−6) and Protogenin (PRTG) rs80064850 (p = 8.69 × 10−6) were significantly correlated with APTT (p < 1 × 10−5). The heritability values of PT and APTT were 0.83 and 0.64, respectively; (4) Conclusion: The PT and APTT of healthy populations are affected by genetic polymorphisms. ZNF594 and ACTN1 variants could be novel genetic markers of PT, while PRTG polymorphisms might be associated with APTT levels. The findings could be attributed to ethnic differences, and need further investigation

Polyacrylamide-Poly(vinyl alcohol)-Sodium Alginate-Reduced Graphene Oxide/Nylon Fabrics with Multistimuli Responses

In recent years, various functional fabrics capable of responding to multistimuli have been widely recognized as promising wearable devices. However, the obtained composite functional fabrics have only been applied in a few scenarios, rendering the achievement of multifunctional wearable application scenarios a difficult goal. Therefore, there is an urgent need to expand the diversity of wearable applications for functional fabrics. Herein, we design hydrogel composite fabrics capable of responding to multiple stimuli, including vibration, temperature, strain, and pressure, to enable wearable multiapplication scenarios. The hydrogel composite fabrics, based on nylon fabrics (NFs), are fabricated with polyacrylamide (PAM)-poly(vinyl alcohol) (PVA)-sodium alginate (SA)-reduced graphene oxide (rGO)/NFs (PAM-PVA-SA-rGO/NFs). The PAM-PVA-SA-rGO/NFs exhibit a higher elastic stiffness coefficient (2.79 N cm-1) than the blank NFs (1.76 N cm-1), good temperature sensitivity in the range of 30-80 °C, and excellent detecting ability for urine presence with a threshold of unit area of 2.55 × 10-3 mL cm-2. The PAM-PVA-SA-rGO/NFs can not only respond to multiple stimuli but also be integrated into clothing for wearable multiapplication scenarios, such as detecting human speaking and breathing, intelligent sleeves, and diaper alarms. Additionally, the mechanisms of the above phenomena are revealed. These results indicate that the PAM-PVA-SA-rGO/NFs will provide inspiration for the development of intelligence systems, feedback devices, soft robotics, wearable devices, etc.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic Components, Technology and Material