Researchers from Shandong University have engineered CYP152 peroxygenases for a green, efficient, and enantioselective one-step synthesis of (R)-mandelic acid derivatives, offering a sustainable solution for producing chiral molecules in pharmaceuticals and fine chemicals.

As the global population grows, producing enough food for everyone has become one of the biggest challenges in agriculture. Wheat, one of the world’s most important crops, must yield more grain from each plant to help meet this demand. A key factor in determining yield is the inflorescence architecture, the way that the plant’s flower head (or spike) is strucrured. This architecture controls how many grains each spike can produce and finally influence the yield of crops. Over the history of wheat breeding, changes in spike shape and structure have played a major role in yield improvements. In a recent study, researchers at Shandong Agricultural University explored a new way to boost wheat yield by re-engineering spike architecture. Through detailed multi-dimentional comparisons of inflorescence development among different cereal crops, the researchers identified promising directions for redesigning wheat spikes to produce more grains, which opens up an exciting path roward breaking burrent yield limits and helping secure global food supplies for the future.

Abstract

Purpose – This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement, and provides evidence indicating that green investment practices have gained traction after 2012.

Design/methodology/approach – We empirically test the hypotheses that the stock returns of firms with similar carbon dioxide emissions levels move together and, if so, whether this co-movement has increased over time as people become more “carbon-conscious.” Our baseline sample, based on carbon emissions data from public company disclosures, suffers from limited coverage, particularly before 2016, leading to low statistical power and sample selection bias. To address this, we employ machine learning methodologies to forecast the carbon emissions of firms that do not disclose such information, nearly quadrupling the sample size. Our findings indicate that stocks with similar carbon emissions exhibit higher co-movement in stock returns in both the baseline and augmented data samples. Furthermore, this co-movement has increased during the 2012–2020 period compared to the 2004–2011 period, suggesting that green investment has gained traction over time.

Findings – We find that stocks with similar carbon emissions exhibit higher co-movement in stock returns in both the baseline sample and the augmented data sample, and the co-movement has increased in the 2012–2020 period compared to the 2004–2011 years, suggesting that green investment has gained traction over time.

Originality/value – (1) We use machine learning methodology to augment carbon emissions sample which goes back to 2004. Our approach almost quadruples the original data, enabling large-sample testing. (2) We are the first paper to examine how green companies’ stock returns co-move and thus provide complementary results on the research on expected returns and carbon emissions.

Abstract

Purpose – This study examines the relationships between herding behaviour, market overreaction and financial stability in developed and Brazil, Russia, India and China (BRICS) markets from 1 January 2017 to 31 December 2023. It identifies the significant differences in these phenomena across different market types and their implications for financial stability.

Design/methodology/approach – This study employs panel data regression, quantile regression, Granger causality tests and the Baron and Kenny mediation model to analyse the data. These methods are used to explore the extent to which herding behaviour exacerbates market overreaction and affects financial stability.

Findings – The results reveal that herding behaviour exacerbates short-term market overreaction, leading to increased financial instability, particularly in BRICS markets. In contrast, herding behaviour does not significantly impact intermediate-term overreactions in developed markets. The study also finds that market overreaction significantly mediates the relationship between herding behaviour and financial stability.

Practical implications – These findings have practical implications for policymakers. Understanding how herding behaviour and market overreaction impact financial stability can help formulate strategies to enhance market stability and mitigate systemic risks, particularly in more volatile BRICS markets. Social implications– Enhanced financial stability has broad social implications, including improved investor confidence and economic growth. Policymakers can use these insights to create more stable financial environments, which can lead to more robust economic development and reduced vulnerability to financial crises.

Originality/value – This study provides new insights into the differential impact of herding behaviour and market overreaction on financial stability in developed and BRICS markets. By confirming the mediating role of market overreaction, this study enhances our understanding of financial market anomalies and contributes to the literature on financial stability.

The increasing accumulation of discarded plastics has already caused serious environmental pollution. Simple landfills and incineration will inevitably lead to the loss of the abundant carbon resources contained in plastic waste. In contrast, photoconversion technology provides a green and sustainable solution to the global plastic waste crisis by converting plastics into hydrogen fuel and valuable chemicals. This review briefly introduces the advantages of photoconversion technology and highlights recent research progress, with a focus on photocatalyst design as well as the thermodynamics and kinetics of the reaction process. It discusses in detail the degradation of typical common plastic types into hydrogen and fine chemicals via photoconversion. Additionally, it outlines future research directions, including the application of artificial intelligence in catalyst design. Although photocatalytic technology remains at the laboratory stage, with challenges in catalyst performance and industrial scalability, the potential for renewable energy generation and plastic valorization is promising.

Gallium nitride (GaN) nanostructures are highly promising for photoelectrochemical (PEC) water splitting due to their excellent electron mobility, chemical stability, and large surface area. However, the wide bandgap (~3.4 eV) of GaN limits its ability to absorb a broad spectrum of solar radiation, restricting its PEC performance. To address this limitation, MoS₂/GaN nanorods (NRs) heterostructures for enhanced PEC applications were fabricated on thin tungsten foil using a combination of atmospheric pressure chemical vapor deposition (CVD) and laser molecular beam epitaxy (LMBE). The Raman spectroscopy and X-ray diffraction revealed the hexagonal phase of GaN and MoS₂. X-ray photoelectron spectroscopy examined the electronic states of the GaN and MoS₂. PEC measurements revealed that the MoS₂-decorated GaN NRs exhibited a photocurrent density of approximately172 μA/cm², nearly 2.5-fold compared to bare GaN NRs (~70 μA/cm²). The increased photocurrent density is ascribed to the Type II band alignment between MoS₂ and GaN, which promotes effective charge separation, the decrease in charge transfer resistance, and the increase in active sites. The findings of this work underscore that the CVD and LMBE technique fabricated MoS₂/GaN heterostructures on W metal foil substrate can provide the vital strategy to raise the PEC efficiency toward solar water splitting.

Thin-film lithium niobate (TFLN) is considered a crucial platform in next-generation integrated optoelectronics due to its excellent optical properties. Photodetectors are essential components for constructing fully functional photonic circuits. However, due to the low electrical conductivity and weak light absorption, TFLN cannot be directly used for fabricating photodetectors. In this study, we proposed and demonstrated a high-performance MoTe2/TFLN heterostructure integrated Schottky photodetector operating at telecommunication wavelengths (1310 nm and 1550 nm). This structure enhances the photovoltaic effect by bending MoTe₂ at the edge of one electrode, thereby achieving self-powered operation. At a wavelength of 1310 nm, the photodetector achieves a self-powered responsivity of 70 mA/W, which is among the highest for waveguide-integrated photodetectors. Additionally, due to the strong rectification effect of the Schottky junction, the photodetector exhibits an extremely low dark current of only 25 pA at −0.5 V bias voltage. The on/off ratios reach 2.6 × 10⁴ at 0 V and 4.1 × 10⁴ at −0.5 V bias. The self-powered response times were measured, showing fast response and recovery times of 160 μs and 169 μs, respectively.

Organic semiconductors (OSCs) have been found as prominent group of optoelectronic materials extensively researched for more than forty years due to their ability to tune capabilities by modifying chemical structure and simple processing. Their performance has been significantly improved, advancing from the fast development in design and synthesis of new OSC materials. The spectral response of OSCs was extended from ultraviolet (UV) to near infrared (NIR) wavelength region. There are reports on detectivity (D^*) higher than the physical limits set by signal fluctuations and background radiation. Authors attempted to explain the organic photodetectors’ peculiarities when confronted with typical devices dominating the commercial market.