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Thermally-induced tensile strain that remains in perovskite films following annealing results in increased ion migration and is a known factor in the instability of these materials. Previously-reported strain regulation methods for perovskite solar cells (PSCs) have utilized substrates with high thermal expansion coefficients that limits the processing temperature of perovskites and compromises power conversion efficiency. Here we compensate residual tensile strain by introducing an external compressive strain from the hole-transport layer. By using a hole-transport layer with high thermal expansion coefficient, we compensate the tensile strain in PSCs by elevating the processing temperature of hole-transport layer. We find that compressive strain increases the activation energy for ion migration, improving the stability of perovskite films. We achieve an efficiency of 16.4% for compressively-strained PSCs; and these retain 96% of their initial efficiencies after heating at 85 °C for 1000 hours—the most stable wide-bandgap perovskites (above 1.75 eV) reported so far. Remnant tensile strain in the perovskite films induced in the thermal annealing step is a known source of material and device instabilities. Here Xue et al. use a thermal expandable hole transporting layer to compensate the strain and result in most stable wide-bandgap perovskite solar cells so far.

•Decoding VOT using listeners’ EEG data.•Decoded VOT is linearly correlated with actual VOT at early stages.•Decoded VOT is longer in female contexts than in male contexts.•Context effects extend to all VOT sounds, not just some ambiguous sounds.•Early context effects are in the opposite direction of behavioral responses. Contextual information plays a significant role in shaping our perception of speech, yet it remains uncertain at which level of processing such information integrates with acoustic cues. A key area of debate is whether top-down information influences acoustic encoding within the lower levels of the speech-processing hierarchy. This study employed a machine learning algorithm to decode the voice onset time (VOT) of speech and investigated how the gender of the speaker of a precursor sentence impacted subsequent speech perception. Using EEG recordings, we examined neural responses to a VOT continuum following male and female voices. Our results reveal that a linear representation of the VOT continuum emerged at an early EEG time window and that gender-based contextual cues modulated speech perception at this stage. Notably, since context information was not involved in the decoding procedure itself, we conclude that this modulation reflected the true effects of context on the perception of VOT. Moreover, the contextual influence extended across the entire VOT continuum, not just at specific sounds, suggesting a broad and consistent modulation of speech perception by gender-based context. These findings support the idea of a general acoustic-level mechanism through which contextual information influences the early stage of speech processing, contributing to ongoing debates about the interaction between top-down and bottom-up processes in speech perception.

The REPIC ( R NA E PI transcriptome C ollection) database records about 10 million peaks called from publicly available m 6 A-seq and MeRIP-seq data using our unified pipeline. These data were collected from 672 samples of 49 studies, covering 61 cell lines or tissues in 11 organisms. REPIC allows users to query N 6 -methyladenosine (m 6 A) modification sites by specific cell lines or tissue types. In addition, it integrates m 6 A/MeRIP-seq data with 1418 histone ChIP-seq and 118 DNase-seq data tracks from the ENCODE project in a modern genome browser to present a comprehensive atlas of m 6 A methylation sites, histone modification sites, and chromatin accessibility regions. REPIC is accessible at https://repicmod.uchicago.edu/repic .

In lead–halide perovskites, antibonding states at the valence band maximum (VBM)—the result of Pb 6 s -I 5 p coupling—enable defect-tolerant properties; however, questions surrounding stability, and a reliance on lead, remain challenges for perovskite solar cells. Here, we report that binary GeSe has a perovskite-like antibonding VBM arising from Ge 4 s -Se 4 p coupling; and that it exhibits similarly shallow bulk defects combined with high stability. We find that the deep defect density in bulk GeSe is ~10 12  cm −3 . We devise therefore a surface passivation strategy, and find that the resulting GeSe solar cells achieve a certified power conversion efficiency of 5.2%, 3.7 times higher than the best previously-reported GeSe photovoltaics. Unencapsulated devices show no efficiency loss after 12 months of storage in ambient conditions; 1100 hours under maximum power point tracking; a total ultraviolet irradiation dosage of 15 kWh m −2 ; and 60 thermal cycles from −40 to 85 °C. Perovskite-like antibonding VBM electronic structure is predicted to result in defect-tolerant materials. Here, the authors investigate GeSe with antibonding VBM from Ge 4 s -Se 4 p coupling, and a certified 5.2% PCE is obtained with high stability due to its strong covalent bonding.

The existing literature on the environmental Kuznets curve (EKC) fails to investigate the spatial attribute of the “pollution halo” effect or to integrate the “pollution haven” effect. This paper extends the EKC model to the spatial Durbin model by exploring the spatial spillover of disembodied technology and the pollution transfer effect of environmental regulation. Taking Chinese agricultural foreign trade as an example, our paper finds that the technology spillover does not bring a pollution halo effect to local areas but to adjacent areas. The pollution haven effect impacts the EKC’s turning point, which can be divided into two curves in the spatial dimension: an inverted U-shaped curve, in which the turning point represents the effect of technological innovation, and a U-shaped curve, in which the turning point represents the transfer effect of pollution-intensive industries. Based on the conclusion, this paper recommends that agricultural non-point pollution reduction should be nationally coordinated to establish transport infrastructure and the agricultural human capital conditions for the spatial diffusion of disembodied technology.

The central melanocortin system plays a fundamental role in the control of feeding and body weight. Proopiomelanocortin (POMC) neurons in the arcuate nucleus of the hypothalamus (ARC) also regulate overall glucose homeostasis via insulin-dependent and -independent pathways. Here, we report that a subset of ARC POMC neurons innervate the liver via preganglionic parasympathetic acetylcholine (ACh) neurons in the dorsal motor nucleus of the vagus (DMV). Optogenetic stimulation of this liver-projecting melanocortinergic pathway elevates blood glucose levels that is associated with increased expression of hepatic gluconeogenic enzymes in female and male mice. Pharmacological blockade and knockdown of the melanocortin-4 receptor gene in the DMV abolish this stimulation-induced effect. Activation of melanocortin-4 receptors inhibits DMV cholinergic neurons and optogenetic inhibition of liver-projecting parasympathetic cholinergic fibers increases blood glucose levels. This elevated blood glucose is not due to altered pancreatic hormone release. Interestingly, insulin-induced hypoglycemia increases ARC POMC neuron activity. Hence, this liver-projecting melanocortinergic circuit that we identified may play a critical role in the counterregulatory response to hypoglycemia. Hypothalamic melanocortin neurons regulate systemic glucose homeostasis through incompletely understood pathways. Here, the authors show that a subset of pro-opiomelanocortin neurons innervate the liver via preganglionic parasympathetic cholinergic neurons in the dorsal motor nucleus of the vagus and that stimulation of this pathway elevates blood glucose levels

Bilayer graphene consists of two stacked graphene layers bound together by van der Waals interaction. As the molecular analog of bilayer graphene, molecular bilayer graphene (MBLG) can offer useful insights into the structural and functional properties of bilayer graphene. However, synthesis of MBLG, which requires discrete assembly of two graphene fragments, has proved to be challenging. Here, we show the synthesis and characterization of two structurally well-defined MBLGs, both consisting of two π−π stacked nanographene sheets. We find they have excellent stability against variation of concentration, temperature and solvents. The MBLGs show sharp absorption and emission peaks, and further time-resolved spectroscopic studies reveal drastically different lifetimes for the bright and dark Davydov states in these MBLGs. Molecular bilayer graphene — a discrete assembly of two stacked graphene fragments — is challenging to produce in pure form. Here, the authors are able to synthesize and characterize stable molecular bilayer graphenes by the π−π stacking of two identical, well-defined nanographene sheets.

Mounting studies suggest that working memory (WM) plays a crucial role in language prediction, but how varying types of WM loads influence language prediction remains unclear. This study investigated whether verbal and visual WM loads differentially impact language predictions during speech comprehension. Using a dual-task paradigm combined with eye-tracking in a visual world setting, we asked 48 participants to complete a sentence comprehension task under concurrent WM load conditions. Participants were divided into two groups, one of which performed a visual dots memory task and the other completed a visual words memory task, with memory load being applied in half of the trials. Results revealed anticipatory gaze towards target objects, suggesting the prediction of upcoming linguistic information. Notably, early fixations during the tonal cue window indicated tonal prediction in spoken sentence processing. Furthermore, WM load significantly disrupted participants’ language prediction effects, highlighting the involvement of working memory resources in this process. Importantly, the verbal memory task imposed a more severe disruption to language prediction than the visual memory task, suggesting differential roles of WM subtypes in linguistic prediction. This offers novel insights into how verbal WM and visual-spatial WM differentially influence predictive language processing.

ABSTRACT Limonene, a valuable cyclic monoterpene, has been broadly studied in recent decades due to its wide application in the food, cosmetics and pharmaceutical industries. Engineering of the yeast Yarrowia lipolytica for fermentation of renewable biomass lignocellulosic hydrolysate may reduce the cost and improve the economics of bioconversion for the production of limonene. The aim of this study was to engineer Y. lipolytica to produce limonene from xylose and low-cost lignocellulosic feedstock. The heterologous genes XR and XDH and native gene XK encoding xylose assimilation enzymes, along with the heterologous genes tNDPS1 and tLS encoding orthogonal limonene biosynthetic enzymes, were introduced into the Po1f strain to facilitate xylose fermentation to limonene. The initially developed strain produced 0.44 mg/L of limonene in 72 h with 20 g/L of xylose. Overexpression of genes from the mevalonate pathway, including HMG1 and ERG12, significantly increased limonene production from xylose to ∼9.00 mg/L in 72 h. Furthermore, limonene production peaked at 20.57 mg/L with 50% hydrolysate after 72 h when detoxified lignocellulosic hydrolysate was used. This study is the first to report limonene production by yeast from lignocellulosic feedstock, and these results indicate the initial steps toward economical and sustainable production of isoprenoids from renewable biomass by engineered Y. lipolytica. This study engineeredY. lipolytica for production of limonene from xylose as well as corn stover hydrolysates.

Proopiomelanocortin (POMC) neurons in the arcuate nucleus of the hypothalamus (ARC) respond to numerous hormonal and neural signals, resulting in changes in food intake. Here, we demonstrate that ARC POMC neurons express capsaicin-sensitive transient receptor potential vanilloid 1 receptor (TRPV1)-like receptors. To show expression of TRPV1-like receptors in ARC POMC neurons, we use single-cell reverse transcription-polymerase chain reaction (RT-PCR), immunohistochemistry, electrophysiology, TRPV1 knock-out (KO), and TRPV1-Cre knock-in mice. A small elevation of temperature in the physiological range is enough to depolarize ARC POMC neurons. This depolarization is blocked by the TRPV1 receptor antagonist and by Trpv1 gene knockdown. Capsaicin-induced activation reduces food intake that is abolished by a melanocortin receptor antagonist. To selectively stimulate TRPV1-like receptor-expressing ARC POMC neurons in the ARC, we generate an adeno-associated virus serotype 5 (AAV5) carrying a Cre-dependent channelrhodopsin-2 (ChR2)-enhanced yellow fluorescent protein (eYFP) expression cassette under the control of the two neuronal POMC enhancers (nPEs). Optogenetic stimulation of TRPV1-like receptor-expressing POMC neurons decreases food intake. Hypothalamic temperature is rapidly elevated and reaches to approximately 39 °C during treadmill running. This elevation is associated with a reduction in food intake. Knockdown of the Trpv1 gene exclusively in ARC POMC neurons blocks the feeding inhibition produced by increased hypothalamic temperature. Taken together, our findings identify a melanocortinergic circuit that links acute elevations in hypothalamic temperature with acute reductions in food intake.