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A data-driven generative strategy to avoid reward hacking in multi-objective molecular design
Molecular design using data-driven generative models has emerged as a promising technology, impacting various fields such as drug discovery and the development of functional materials. However, this approach is often susceptible to optimization failure due to reward hacking, where prediction models fail to extrapolate, i.e., fail to accurately predict properties for designed molecules that considerably deviate from the training data. While methods for estimating prediction reliability, such as the applicability domain (AD), have been used for mitigating reward hacking, multi-objective optimization makes it challenging. The difficulty arises from the need to determine in advance whether the multiple ADs with some reliability levels overlap in chemical space, and to appropriately adjust the reliability levels for each property prediction. Herein, we propose a reliable design framework to perform multi-objective optimization using generative models while preventing reward hacking. To demonstrate the effectiveness of the proposed framework, we designed candidates for anticancer drugs as a typical example of multi-objective optimization. We successfully designed molecules with high predicted values and reliabilities, including an approved drug. In addition, the reliability levels can be automatically adjusted according to the property prioritization specified by the user without any detailed settings.
Management practices and manufacturing firm responses to a randomized energy audit
Increasing the efficiency of industrial energy use is widely considered important for mitigating climate change. We randomize assignment of an energy audit intervention aimed at improving energy efficiency and reducing energy expenditures of small- and medium-sized metal processing firms in Shandong Province, China, and examine impacts on energy outcomes and interactions with firms’ management practices. We find that the intervention reduced firms’ unit cost of electricity by 8% on average. Firms with more developed structured management practices showed higher rates of recommendation adoption. However, the post-intervention electricity unit cost reduction is larger in firms with less developed practices, primarily driven by a single recommendation that corrected managers’ inaccurate reporting of transformer usage at baseline, lowering their electricity costs. By closing management-associated gaps in awareness of energy expenditures, energy audit programmes may reduce a firm’s unit cost of energy but have an ambiguous impact on energy use and climate change.
Trust in scientists and their role in society across 68 countries
Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. We interrogated these concerns with a preregistered 68-country survey of 71,922 respondents and found that in most countries, most people trust scientists and agree that scientists should engage more in society and policymaking. We found variations between and within countries, which we explain with individual- and country-level variables, including political orientation. While there is no widespread lack of trust in scientists, we cannot discount the concern that lack of trust in scientists by even a small minority may affect considerations of scientific evidence in policymaking. These findings have implications for scientists and policymakers seeking to maintain and increase trust in scientists.
Diurnal timing of physical activity in relation to obesity and diabetes in the German National Cohort (NAKO)
Physical activity supports weight regulation and metabolic health, but its timing in relation to obesity and diabetes remains unclear. We aimed to assess the diurnal timing of physical activity and its association with obesity and diabetes.
What makes a man unmanly? The global concept of ‘unmanliness’
This paper presents the findings of a multi-national study that led to the development of a new analytical framework in masculinity research—the Global Concept of ‘Unmanliness’ (GCU). Drawing on three key theories—hegemonic masculinity, precarious manhood and masculinity threat, and emasculation—we conducted an innovative study across 15 countries (selected from an initial pool of 62) to examine cultural perceptions of ‘unmanliness.’ Participants provided open-ended responses to identify traits and behaviors considered unmanly within their cultural contexts. By analyzing common themes expressed by young men, we propose the Global Concept of ‘Unmanliness’ as a framework for understanding how societies define and enforce masculinity norms. Furthermore, comparing these findings with the Global Gender Gap Index (GGGI) revealed a key distinction in how ‘unmanliness’ is characterized across different levels of gender emancipation. In countries with high GGGI rankings (e.g., Norway, Ireland, Germany), ‘unmanliness’ is more often associated with physical traits and behaviors linked to femininity (e.g., clothing, makeup). Conversely, in countries with low GGGI rankings (e.g., Pakistan, Morocco, Nigeria), it is more commonly defined by acts such as violence against women. Our study highlights how cultural and structural gender dynamics shape the boundaries of masculinity and offers a new lens for cross-cultural research on gender norms.
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