A Review of the U.S. Supreme Court decision in Endrew F. v. Douglas County School District (2017) : Implications for Academic Achievement for Students with Disabilities.

本稿は，学校が障害のある子どもに保障すべき教育成果の水準について，米国連邦最高裁判所が示した画期的な判決（Endrew F. v. Douglas County SD , 2017）の論点を捉えることにより，今後のインクルーシブ教育のあり方の検討に必要な基礎資料を提供することを目的とした。米国では障害者教育法(IDEA)により，障害のある子どもに対する「無償で適切な公教育」（FAPE）が保障されている。従来，FAPEが求める教育成果の水準に関しては，1980年代の最高裁判所判決（Board of Educ. v. Rowley , 1982）が大きな影響を与えてきた。つまり，FAPEの要求は「最小限を満たすもの」であれば足りると解釈されてきた。しかしながら，Endrew 裁判によって，実質的な意味のある教育成果が求められることが判示された。今後，本裁判を契機に，障害のある子どもに対する教育の成果がこれまで以上に大きな議論となることも予想できる。The purpose of this brief note was to understand the whole context of the "Endrew F. v. Douglas County School District " (2017) in the U.S. Supreme Court. The Individuals with Disabilities Education Act (IDEA) requires to guarantee a free appropriate public education (FAPE) for students with disabilities. In the "Board of Education of the Hendrick Hudson Central School District v. Rowley " (1982), the U.S. Supreme Court was rejected requirement to maximize educational potential of student. This decision has been quoted for a long time in the lower courts. However, new standard in the Andrew case was judged. We provides a summary of important legal contents

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

The increasing of pre-trained models has significantly facilitated the performance on limited data tasks with transfer learning. However, progress on transfer learning mainly focuses on optimizing the weights of pre-trained models, which ignores the structure mismatch between the model and the target task. This paper aims to improve the transfer performance from another angle - in addition to tuning the weights, we tune the structure of pre-trained models, in order to better match the target task. To this end, we propose TransTailor, targeting at pruning the pre-trained model for improved transfer learning. Different from traditional pruning pipelines, we prune and fine-tune the pre-trained model according to the target-aware weight importance, generating an optimal sub-model tailored for a specific target task. In this way, we transfer a more suitable sub-structure that can be applied during fine-tuning to benefit the final performance. Extensive experiments on multiple pre-trained models and datasets demonstrate that TransTailor outperforms the traditional pruning methods and achieves competitive or even better performance than other state-of-the-art transfer learning methods while using a smaller model. Notably, on the Stanford Dogs dataset, TransTailor can achieve 2.7% accuracy improvement over other transfer methods with 20% fewer FLOPs.Comment: This paper has been accepted by AAAI202

The potential of blockchain technology in advancing sustainable energy: a study on the mediating role of specialization in the growth of Chinese hidden champions

Innovation is a crucial factor for hidden champions to gain a competitive edge and foster organizational growth. This study focuses on Chinese-listed hidden champion firms between 2010 and 2019 and examines the impact of innovation heterogeneity on their growth. The study explores the impact of different types of innovation, including overall innovation, product innovation, and process innovation, and their interaction effects on the growth of hidden champions. The study also investigates the mediating role of the degree of specialization, which refers to the extent to which a firm focuses on a particular area of expertise. Furthermore, the potential of blockchain technology in advancing a sustainable energy future is becoming increasingly apparent. By enabling the creation of decentralized energy markets, blockchain can facilitate the integration of renewable energy sources, such as solar and wind power, into the grid. This can help to reduce carbon emissions and promote the transition to a low-carbon economy. The results of the study indicate that innovation, including overall innovation, product innovation, and process innovation, is significant for hidden champions’ growth. Moreover, the study reveals that product innovation and process innovation have complementary effects on the growth of hidden champions. The degree of specialization also plays a mediating role between different types of innovation and hidden champions’ growth. The results of this study provide empirical evidence to improve the growth of hidden champions from the perspective of enterprise innovation. By focusing on different types of innovation and understanding their complementary effects, firms can develop a more comprehensive innovation strategy that can enhance their growth potential. Moreover, the mediating role of degree of specialization highlights the importance of aligning innovation efforts with a firm’s core competencies to achieve sustained growth. This study contributes to the literature on hidden champions by shedding light on their innovation strategies and their impact on firm growth

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

Recently, diffusion-based deep generative models (e.g., Stable Diffusion) have shown impressive results in text-to-image synthesis. However, current text-to-image models often require multiple passes of prompt engineering by humans in order to produce satisfactory results for real-world applications. We propose BeautifulPrompt, a deep generative model to produce high-quality prompts from very simple raw descriptions, which enables diffusion-based models to generate more beautiful images. In our work, we first fine-tuned the BeautifulPrompt model over low-quality and high-quality collecting prompt pairs. Then, to ensure that our generated prompts can generate more beautiful images, we further propose a Reinforcement Learning with Visual AI Feedback technique to fine-tune our model to maximize the reward values of the generated prompts, where the reward values are calculated based on the PickScore and the Aesthetic Scores. Our results demonstrate that learning from visual AI feedback promises the potential to improve the quality of generated prompts and images significantly. We further showcase the integration of BeautifulPrompt to a cloud-native AI platform to provide better text-to-image generation service in the cloud.Comment: emnlp 202

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud

Text-to-image synthesis for the Chinese language poses unique challenges due to its large vocabulary size, and intricate character relationships. While existing diffusion models have shown promise in generating images from textual descriptions, they often neglect domain-specific contexts and lack robustness in handling the Chinese language. This paper introduces PAI-Diffusion, a comprehensive framework that addresses these limitations. PAI-Diffusion incorporates both general and domain-specific Chinese diffusion models, enabling the generation of contextually relevant images. It explores the potential of using LoRA and ControlNet for fine-grained image style transfer and image editing, empowering users with enhanced control over image generation. Moreover, PAI-Diffusion seamlessly integrates with Alibaba Cloud's Machine Learning Platform for AI, providing accessible and scalable solutions. All the Chinese diffusion model checkpoints, LoRAs, and ControlNets, including domain-specific ones, are publicly available. A user-friendly Chinese WebUI and the diffusers-api elastic inference toolkit, also open-sourced, further facilitate the easy deployment of PAI-Diffusion models in various environments, making it a valuable resource for Chinese text-to-image synthesis

Microvascular Endothelial Cells-Derived Microvesicles Imply in Ischemic Stroke by Modulating Astrocyte and Blood Brain Barrier Function and Cerebral Blood Flow

Background Endothelial cell (EC) released microvesicles (EMVs) can affect various target cells by transferring carried genetic information. Astrocytes are the main components of the blood brain barrier (BBB) structure in the brain and participate in regulating BBB integrity and blood flow. The interactions between ECs and astrocytes are essential for BBB integrity in homeostasis and pathological conditions. Here, we studied the effects of human brain microvascular ECs released EMVs on astrocyte functions. Additionally, we investigated the effects of EMVs treated astrocytes on regulating BBB function and cerebral ischemic damage. Results EMVs prepared from ECs cultured in normal condition (n-EMVs) or oxygen and glucose deprivation (OGD-EMVs) condition had diverse effects on astrocytes. The n-EMVs promoted, while the OGD-EMVs inhibited the proliferation of astrocytes via regulating PI3K/Akt pathway. Glial fibrillary acidic protein (GFAP) expression (marker of astrocyte activation) was up-regulated by n-EMVs, while down-regulated by OGD-EMVs. Meanwhile, n-EMVs inhibited but OGD-EMVs promoted the apoptosis of astrocytes accompanied by up/down-regulating the expression of Caspase-9 and Bcl-2. In the BBB model of ECs-astrocytes co-culture, the n-EMVs, conversely to OGD-EMVs, decreased the permeability of BBB accompanied with up-regulation of zonula occudens-1(ZO-1) and Claudin-5. In a transient cerebral ischemia mouse model, n-EMVs ameliorated, while OGD-EMVs aggravated, BBB disruption, local cerebral blood flow (CBF) reduction, infarct volume and neurological deficit score. Conclusions Our data suggest that EMVs diversely modulate astrocyte functions, BBB integrity and CBF, and could serve as a novel therapeutic target for ischemic stroke

The Quality of Tuberculosis Care in Urban Migrant Clinics in China

This work is licensed under a Creative Commons Attribution 4.0 International License.Large and increasing numbers of rural-to-urban migrants provided new challenges for tuberculosis control in large cities in China and increased the need for high quality tuberculosis care delivered by clinics in urban migrant communities. Based on a household survey in migrant communities, we selected and separated clinics into those that mainly serve migrants and those that mainly serve local residents. Using standardized patients, this study provided an objective comparison of the quality of tuberculosis care delivered by both types of clinics and examined factors related to quality care. Only 27% (95% confidence interval (CI) 14–46) of cases were correctly managed in migrant clinics, which is significantly worse than it in local clinics (50%, 95% CI 28–72). Clinicians with a base salary were 41 percentage points more likely to demonstrate better case management. Furthermore, clinicians with upper secondary or higher education level charged 20 RMB lower out of pocket fees than less-educated clinicians. In conclusion, the quality of tuberculosis care accessed by migrants was very poor and policies to improve the quality should be prioritized in current health reforms. Providing a base salary was a possible way to improve quality of care and increasing the education attainment of urban community clinicians might reduce the heavy barrier of medical expenses for migrants.111 Project (Grant No. B16031)Laboratory of Modern Teaching Technology of the Ministry of EducationShaanxi Normal UniversityNational Natural Science Foundation of China (Grant No. 71703083)National Social Science Fund Youth Project (Grant No. 15CJL005)National Natural Science Foundation of China (Grant No. 71703084)National Natural Science Foundation of China (Grant No. 71473152)China Medical Board (Grant No. CMB-16-257)Knowledge for Change program at The World Bank (Grant No. 7172469

Precipitation gradient drives divergent relationship between non-structural carbohydrates and water availability in Pinus tabulaeformis of Northern China

Seasonal non-structural carbohydrate (NSC) dynamics in different organs can indicate the strategies trees use to cope with water stress; however, these dynamics remain poorly understood along a large precipitation gradient. In this study, we hypothesized that the correlation between water availability and NSC concentrations in different organs might be strengthened by decreasing precipitation in Pinus tabulaeformis Carr. forests in temperate China. Our results show that the concentrations of soluble sugars were lower in stems and coarse roots, and starch was higher in branches in the early growing season at drier sites. Throughout the growing season, the concentrations of soluble sugars increased in drier sites, especially for leaves, and remained stable in wetter sites, while starch concentrations were relatively stable in branches and stems at all sites. The NSC concentrations, mainly starch, decreased in coarse roots along the growing season at drier sites. Trees have a faster growth rate with an earlier cessation in active stem growth at drier sites. Interestingly, we also found a divergent relationship between NSCs in different organs and mean growing season water availability, and a stronger correlation was observed in drier sites. These results show that pine forests in arid and semi-arid regions of northern China exhibit different physiological responses to water availability, improving our understanding of the adaptive mechanisms of trees to water limitations in a warmer and drier climate