To investigate the effects of activating/inhibiting AmelSmo on the olfactory genes and signalling pathways of Apis mellifera ligustica, as well as the potential regulatory mechanisms involved. Transcriptomic sequencing was performed on Apis mellifera ligustica antennae using Illumina HiSeq platform following administration of cyclopamine (inhibitor) and purmorphamine (agonist). Differential gene expression analysis, coupled with GO and KEGG pathway annotations, facilitated the identification of olfactory receptor genes. The reliability of transcriptome data was subsequently validated through quantitative real–time–polymerase chain reaction analysis. Transcriptomic analysis revealed 12,356 differentially expressed genes (DEGs) between inhibitor and control groups, with 276 genes showing significant differential expression. Similarly, 12,356 DEGs were identified between the agonist and control groups, among which 672 genes exhibited significant differential expression. The GO annotation revealed that the DEGs in the inhibitor group and the agonist group were mainly enriched in the biological process such as cellular process, metabolic process, and biological regulation; in cellular component, enrichment was mainly observed in cell, cell part, and organelle; and in molecular function, the main enrichment was in binding and catalytic activity. KEGG pathway analysis indicated that DEGs from both groups were primarily enriched in signal transduction pathways. Among the DEGs, three olfactory receptor genes were identified in the inhibitor group: odorant receptor 19, odorant receptor 22, and odorant receptor 5. The agonist group exhibited two olfactory receptor genes: odorant receptor 109 and odorant receptor 26. All these olfactory receptor genes demonstrated downregulated expression patterns. Transcriptomic sequencing analysis identified five olfactory receptor genes. The changes in gene expression levels suggest that the activation or inhibition of AmelSmo may regulate the expression of olfactory receptors via the Hedgehog signalling pathway. It is speculated that AmelSmo may play a regulatory role in the olfactory system of bees.

Temperature is the most significant abiotic factor that affects the growth and behaviour of insects. However, the mechanism by which the olfactory system senses thermal stimulus and combines temperature and chemical signals to trigger certain behavioural outputs is unclear. This study aimed to clarify the mechanism by which environmental temperature affects olfactory perception in Apis cerana cerana (Hymenoptera: Apidae). We used quantitative reverse-transcriptase polymerase chain reaction and western blotting to analyse the expression of AcerOr1 and AcerOr2. We also used electroantennography (EAG) assays to detect bee antennal responses to odorants at different temperatures. The results revealed that the mRNA expression of AcerOr1 and AcerOr2 was significantly influenced by temperature. These genes exhibited both increases and decreases in expression over time, with the most significant differential observed at 25 °C. Protein expression was similarly affected at 2 hours after different temperature treatments. Electroantennography responses from the antennae revealed that six odorant volatiles – N-(4-ethylphenyl)-2-((4-ethyl-5-(3-pyridinyl)-4H-1,2,4-triazol-3-yl)thio)acetamide (VUAA1), linolenic acid, eugenol, hexyl acetate, 1-nonanol, and lauroleic acid – had the most dramatic effect at 25 °C. The results indicate that environmental factors affecting the expression of AcerOr1 and AcerOr2 modulate olfactory recognition behaviour in A. cerana cerana, suggesting that changes in environmental temperature can affect bees’ olfactory preferences.

The study explored the origin of the age of acquisition (AoA) effect in second language (L2) using ERPs technique. We simulated L2 AoA by manipulating the order at which English pseudowords entered into training. Chinese-English bilinguals (mean age 22.04, range 18–28) learned English pseudowords matched with Chinese (L1) words, investigating the order of acquisition (OoA) effect of English pseudowords and its relationship with the matched L1 words’ AoA. OoA effects were observed in lexical decision, naming and semantic judgment tasks on N170, P200 and N400. Furthermore, OoA effects were modulated by L1 AoA in the semantic judgment task. These results suggested that OoA effects were independent at orthographic and phonological levels but modulated by L1 AoA at the semantic level. The interpretation of L2 AoA effects requires not only the integration of Semantic and Arbitrary Mapping Hypotheses, as well as consideration of the representation and activation characteristics of L2 words.

One of the challenges of population aging is the rising demand of elder care. Adult children fill a substantial portion of this care need. To understand its implication on their labor market choices and welfare outcomes, we build a simple static model where households can spend time and money producing care. We calibrate the model using data from the American Community Survey, the Health and Retirement Study, and National Health and Aging Trends Study/National Study of Caregiving to match moments in the labor market and caregiving patterns. With the calibrated model, we consider a few government programs under a projected aging population structure. Our results show that care subsidy and Medicaid expansion both cause a shift from informal care to formal care, relieving adult children from care burdens and thus improving their welfare. Caregiver allowance appears to have little effects on caregiving behaviors, which leads to minimal welfare improvement.

The myriad applications of artificial intelligence (AI) by the private and public sectors have exploded in the public consciousness in the postpandemic period. However, researchers and businesses have been working on AI technology applications for decades, and in many ways, governments are rushing to catch up. This article presents an argument that the future of AI policy in the United States will be driven in large part by current and future state-level policy experiments. This argument is presented by drawing on scholarship surrounding federalism, regulatory fragmentation, and the effects of fragmentation on business and social equity. The article then presents the case of autonomous vehicle policy in the states to illustrate the degree of current fragmentation and considers the effects of layering new AI policies on top of existing rules surrounding privacy, licensing, and more. Following this consideration of existing research and its application of AI policy, the article presents a research agenda for leveraging state differences to study the effects of AI policy and develop a cohesive framework for governing AI.

This study presents a conceptual replication of Birulés et al.’s (2020, Experiment 2) investigation of native and nonnative listeners’ selective attention to a talker’s mouth with the goal of better understanding the potentially modulating role of proficiency in listeners’ reliance on audiovisual speech cues. Listeners’ eye gaze was recorded while watching two short videos. Findings from one of the videos replicated results from the original study, showing greater attention to the talker’s mouth among L2 than L1 listeners. In both videos, L2 proficiency modulated attention, with more fixations on the mouth among lower proficiency listeners, an effect predicted but not observed in the original study. Collectively, these laboratory-based findings highlight the role of visual speech cues in L2 listening and present evidence that listeners with more limited proficiency may be especially reliant on such cues. These observations warrant future investigations of the benefits of visual speech cues in instructional and assessment contexts.

The present study investigated the age of acquisition (AoA) effect in processing second language (L2) words and how it is related to the AoA of the corresponding first language (L1) words. We adopted a lexical decision task in three experiments. The filler words were orthographically illegal in Experiment 1 to elicit more word form processing, while Experiment 2 used legal fillers to shift the bias toward semantic processing. In Experiment 3, we used a larger amount of stimuli containing more longer words with legal fillers. Our results showed that L2 AoA has a weak effect at the orthographical processing level and a stable effect at the semantic processing level. The L1 AoA modulates the L2 AoA effect at the semantic processing level, which is more likely to appear in long words. These results suggest that it is important to take bilingual representation and activation into consideration to explain the L2 AoA effect.

This study aimed to describe diet quality of pregnant women and explore the association between maternal diet and the prevalence of low birth weight (LBW) and small for gestational age (SGA). A total of 3856 participants from a birth cohort in Beijing, China, were recruited between June 2018 and February 2019. Maternal diet in the first and second trimesters was assessed by the Chinese diet balance index for pregnancy (DBI-P), using data collected by the inconsecutive 2-d 24-h dietary recalls. Logistic regressions were performed to explore the independent effects of DBI-P components on LBW and SGA. The prevalence of LBW and SGA was 3·8% and 6·0%, respectively. Dietary intakes of the participants were imbalanced. The proportions of participants having insufficient intake of vegetables (87·3% and 86·6%), dairy product (95·9% and 96·7%) and aquatic foods (80·5% and 85·3%) were high in both trimesters. The insufficiency of fruit intake was more severe in the second (85·2%) than that in the first trimester (22·5%) (P < 0·05). After adjusting for potential confounders, the intake of fruits and dairy in the second trimester was negatively associated with the risk of LBW (OR = 0·850, 95% CI: 0·723, 0·999) and SGA (OR = 0·885, 95% CI: 0·787, 0.996), respectively. Sufficient consumption of fruits and dairy products in pregnancy may be suggested in order to prevent LBW and SGA.

The synergetic effects of surface smoothing exhibited during the inductively coupled plasma reactive ion etching (ICP-RIE) of free-standing polycrystalline diamonds (PCDs) were investigated. Changing the assistive gas types generated variable surface oxidation states and chemical environments that resulted in different etching rates and surface morphologies. The main reaction bond mechanism (C–O) during ICP-RIE and the ratio of C–O–C/O–C=O associated with the existence of a uniform smooth surface with root mean square (RMS) roughness of 2.36 nm were observed. An optimal process for PCD smoothing at high etching rate (4.6 μm/min) was achieved as follows: 10% gas additions of CHF3 in O2 plasma at radio frequency power of 400 W. The further etched ultra-smooth surface with RMS roughness <0.5 nm at etching rate of 0.23 μm/min that being produced by transferring this optimum recipe on single crystal diamonds with surface patterns confirmed the effectiveness of the fast smoothing approach and its feasibility for diamond surface patterning.