This study was an initial investigation of important areas of interest within the literature on transgender and gender diverse students, namely psychological health, well-being and campus climate for transgender and gender diverse students in young adulthood. What is unique is that data were obtained from Christian transgender and gender diverse students attending Christian college and universities. A sample of 31 undergraduate transgender students at nine Christian institutions in which staff were affiliated with the Association for Christians in Student Development completed an online survey. Participants reported high levels of religiosity, diversity in their attitudes about gender identity, negative perceptions of campus climate, lower levels of social support for gender identity than in general, moderate to high levels of psychological distress, and low to moderate levels of psychological well-being.

2021-01-01·Computational molecular bioscience

Reinforcement Learning of Molecule Optimization with Bayesian Neural Networks

作者: Hu, Wei

Creating new mols. with desired properties is a fundamental and challenging problem in chem.Reinforcement learning (RL) has shown its utility in this area where the target chem. property values can serve as a reward signal.At each step of making a new mol., the RL agent learns selecting an action from a list of many chem. valid actions for a given mol., implying a great uncertainty associated with its learning.In a traditional implementation of deep RL algorithms, deterministic neural networks are typically employed, thus allowing the agent to choose one action from one sampled action at each step.In this paper, we proposed a new strategy of applying Bayesian neural networks to RL to reduce uncertainty so that the agent can choose one action from a pool of sampled actions at each step, and investigated its benefits in mol. design.Our experiments suggested the Bayesian approach could create mols. of desirable chem. quality while maintained their diversity, a very difficult goal to achieve in machine learning of mols.We further exploited their diversity by using them to train a generative model to yield more novel drug-like mols., which were absent in the training mols. as we know novelty is essential for drug candidate mols.In conclusion, Bayesian approach could offer a balance between exploitation and exploration in RL, and a balance between optimization and diversity in mol. design.

2021-01-01·Journal of biomedical science and engineering

Inverse Molecule Design with Invertible Neural Networks as Generative Models

作者: Hu, Wei

Using neural networks for supervised learning means learning a function that maps input x to output y .However, in many applications, the inverse learning is also wanted, i.e. , inferring y from x , which requires invertibility of the learning.Since the dimension of input is usually much higher than that of the output, there is information loss in the forward learning from input to output.Thus, creating invertible neural networks is a difficult task.However, recent development of invertible learning techniques such as normalizing flows has made invertible neural networks a reality.In this work, we applied flow-based invertible neural networks as generative models to inverse mol. design.In this context, the forward learning is to predict chem. properties given a mol., and the inverse learning is to infer the mols. given the chem. properties.Trained on 100 and 1000 mols., resp., from a benchmark dataset QM9, our model identified novel mols. that had chem. property values well exceeding the limits of the training mols. as well as the limits of the whole QM9 of 133,885 mols., moreover our generative model could easily sample many mols. (x values) from any one chem. property value (y value).Compared with the previous method in the literature that could only optimize one mol. for one chem. property value at a time, our model could be trained once and then be sampled any multiple times and for any chem. property values without the need of retraining.This advantage comes from treating inverse mol. design as an inverse regression problem.In summary, our main contributions were two: 1) our model could generalize well from the training data and was very data efficient, 2) our model could learn bidirectional correspondence between mols. and their chem. properties, thereby offering the ability to sample any number of mols. from any y values.In conclusion, our findings revealed the efficiency and effectiveness of using invertible neural networks as generative models in inverse mol. design.

项与成都比亚迪科技有限公司相关的新闻（医药）

2023-07-05

·Reuters

China's SAIC doubles down on European expansion with EV plant plan

SHANGHAI/BEIJING, July 4 (Reuters) - China's SAIC Motor (600104.SS) is working on the site selection to build a plant in Europe to produce electric vehicles, the company said on Tuesday, as it presses ahead with it expansion in the region. The Chinese partner of Volkswagen (VOWG_p.DE) and General Motors (GM.N), which did not give further details on the plant plans, said it had sold 530,000 units overseas in the first quarter, an increase of 40% from a year earlier. Nearly 70% of those sales came from its MG brand. Sales of MG cars in Europe more than doubled to 115,000 units in the first half, SAIC added. The state-owned Chinese automaker estimated its overseas sales could exceed 1.2 million units in 2023. It plans to launch more than 10 new models under the MG brand in the next 18 months globally. Automakers including Tesla (TSLA.O), BMW and BYD (002594.SZ) are ramping up efforts to export China-made vehicles to other markets as auto demand weakened at home, taking advantage of the lower manufacturing and supply chain costs in China. SAIC was the biggest exporter among all Chinese automakers in the first five months, according to data from China Passenger Car Association. Britain, Mexico, Australia and India were among its largest overseas markets, the data showed. Reporting by Zhang Yan, Brenda Goh and Beijing Newsroom; Editing by Muralikumar Anantharaman and Louise Heavens Our Standards: The Thomson Reuters Trust Principles.

2023-02-08

·Coatings World

AkzoNobel Reports Revenue Growth in 2022

Akzo Nobel N.V. published its results for Q4 and full-year 2022. In terms of sales, fourth quarter sales were €2,606 million, with full year sales of €10,846 million. Highlights Q4 2022 (compared with Q4 2021) • Revenue up 8% and 9% higher in constant currencies; pricing up 11%, volumes 9% lower • Operating income at €103 million (2021: €205 million), resulting from lower volumes, higher raw material and freight costs, and inflation on operating expenses; OPI margin 4.0% (2021: 8.5%) • Adjusted operating income at €126 million (2021: €209 million), excludes €23 million negative impact from Identified items (2021: €4 million negative impact); ROS3 at 4.8% (2021: 8.7%) • Acquisition of wheel liquid coatings business of Lankwitzer Lackfabrik completed in December • Share buyback of €500 million finalized in December Highlights full-year 2022 (compared with full-year 2021) • Revenue up 13% and 11% higher in constant currencies, pricing up 14%, volumes 7% lower • Operating income at €708 million (2021: €1,118 million), resulting from lower volumes, higher raw material and freight costs, inflation on operating expenses and €46 million negative impact from hyperinflation accounting. OPI margin 6.5% (2021: 11.7%) • Adjusted operating income at €789 million (2021: €1,092 million), excludes €81 million negative impact from Identified items (2021: €26 million positive impact); ROS at 7.3% (2021: 11.4%) • Adjusted EBITDA at €1,157 million (2021: €1,436 million) • Final dividend proposed of €1.54 per share (2021: €1.54 per share) “Looking back on 2022, it was a year of persistent worldwide uncertainty as global events caused significant cost inflation, disrupted supply chains and prompted declining consumer confidence,” AkzoNobel CEO Greg Poux-Guillaume said. “Our Q4 results continued to be impacted by softer demand, as well as the lingering effects of COVID-19 in some of our most important markets. “Moving forward, with our margin management and cost reduction programs firmly in place, we plan to mitigate the ongoing pressure from cost inflation and aim to deliver €1.2 to €1.5 billion adjusted EBITDA for 2023, based on current market conditions. Since I joined, I’ve personally witnessed the dedication of our teams around the world, and I’m confident that together we’ll continue to improve the performance of AkzoNobel.” Recent Highlights • AkzoNobel completed a repainting project in Vietnam as part of our Lighthouse Protection Campaign. Cu Lao Xanh – built in 1890 – was coated with more than 11,000 liters of Dulux Weathershield to help protect it against the elements, an example of how the company’s People. Planet. Paint. approach helps to preserve local history and heritage. • Value chain partners have teamed up with AkzoNobel in the fields of circular solutions, process efficiency and solvent reduction in a determined effort to collectively reduce carbon emissions in the paints and coatings value chain, including Scope 3 emissions. Five teams have been established as part of AkzoNobel’s first-ever Paint the Future Collaborative Sustainability Challenge. They will now work together in their respective groups to develop possible solutions for limiting climate change. • AkzoNobel has become the global refinish partner for BYD Auto Sales Company Ltd. – currently the world’s leading seller of electric vehicles. AkzoNobel has been a recommended supplier of vehicle refinish products and services to BYD in China since 2017. The new deal means that agreement will continue, while extending the partnership to serve BYD’s bodyshops and approved repairer networks worldwide. 2023 Outlook AkzoNobel expects the ongoing macro-economic uncertainties to continue and weigh on organic volume growth. The company will focus on margin management, cost reduction, working capital normalization and de-leveraging. Cost reduction programs are expected to mitigate the ongoing pressure from inflation in operating expenses for 2023. AkzoNobel expects declining raw material costs to have a favorable impact on profitability. Based on current market conditions, AkzoNobel targets to deliver €1.2 to €1.5 billion adjusted EBITDA. The company aims to lower its leverage ratio to less than 3.4 times net debt/EBITDA, including the impact of the Kansai Paint Africa acquisition, by the end of 2023 and return to around 2 times post-2023.

并购财报

2022-11-03

·Coatings World

AkzoNobel Becomes Global Refinish Partner for EV Maker BYD

AkzoNobel has become the global refinish partner for new energy vehicle manufacturer BYD Auto Sales Company Ltd., currently the world’s leading seller of electric vehicles. The company has been a recommended supplier of vehicle refinish products and services to BYD in China since 2017. The new deal means that agreement will continue, while extending the partnership to serve BYD’s bodyshops and approved repairer networks worldwide. Originally a battery maker, BYD now has more than 1,180,000 new energy vehicles in operation, having been ranked first in China’s electric vehicle sales for six consecutive years (2014 to 2019). “We’re delighted to broaden our partnership with BYD globally and together push ahead with our shared ambition of reducing carbon emissions,” said Patrick Bourguignon, director of AkzoNobel’s Automotive and Specialty Coatings business. “Making transport more sustainable is a major driving force behind our innovation and BYD will benefit from a host of digital tools and cutting-edge services, as well as our class-leading vehicle refinish systems.” One of these tools will include the recently launched CO2eRepairCalculator – the vehicle refinish industry’s first repair system designed to measure, manage and reduce carbon emissions. It’s part of a new initiative which aims to encourage bodyshops to become more sustainable. Other digital solutions being provided include MIXIT, AkzoNobel’s leading digital color identification and retrieval application. Meanwhile, the company’s Wanda brand will continue to be supplied in China, with plans to supply Sikkens and Lesonal globally. “We look forward to supporting BYD with its pioneering work in the eMobility space, while underlining our own commitment to halving our carbon emissions across the full value chain by 2030,” added Bourguignon.

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