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We report the observation and analysis of a new electronic transition in gas-phase vanadium hydride (VH), identified as the C′5Δ–X5Δ (1,0) band with an origin at 14,015 cm− 1 (714 nm). The spectrum was recorded by laser excitation spectroscopy, with laser-induced fluorescence detected to the X5Δ (v =1) level. Dispersed fluorescence measurements enabled a detailed characterization of the vibrationally excited ground state, yielding a vibrational interval of ΔG1/2 = 1606.6(2) cm− 1 . Despite the presence of significant local perturbations—particularly in the Ω =0 and 1 spin components of the C′5Δ state—a full rotational analysis of the spectrum using a Hund’s case (a) Hamiltonian was achieved. Spectroscopic constants including rotational, spin–orbit, spin–rotation, and Λ-doubling parameters are reported for both the new C′5Δ state and the X5Δ (v = 1) level. Additionally, we observed a small local perturbation in the X5Δ₁ (v =1) level near J =9, attributed to homogeneous spin–orbit and heterogeneous L-uncoupling interactions with the previously analyzed A5Π (v =0) state. An X5Δ ~ A5Π coupled Hamiltonian was used to model this perturbation and yielded interaction parameters roughly consistent with semi-empirical estimates. This work represents only the second analyzed spectroscopic transition of gas-phase VH. 

Additive manufacturing (AM) enables the fabrication of complex, highly customized geometries. However, the design and fabrication of structures with advanced functionalities, such as multistability and fail-safe mechanism, remain challenging due to the significant time and costs required for high-fidelity simulations and iterative prototyping. In this study, we investigate the application of Bayesian Optimization (BO), an advanced machine learning framework, to accelerate the discovery of optimal AM compatible designs with such advanced properties. BO uses a probabilistic surrogate to strategically balances the exploration of design space with few test designs and the exploitation of design space near current best performing designs, thereby reducing the number of design simulations needed. While existing studies have demonstrated the potential of BO in AM, most have focused on static or simple designs. Here, we target multistable structures that can reconfigure among multiple stable states in response to external conditions. Since mechanical performance (e.g., strength) is configuration-dependent, our goal is to identify high performing designs while ensuring that strength in all stable configurations exceeds a prescribed threshold for structural robustness. 

Abstract Cichlid fishes have undergone an extraordinary diversification in East Africa. They also have a high rate of sex chromosome turnover. This clade provides an opportunity to study the rates and patterns of sex chromosome turnover, and the interactions of sex chromosome turnover with adaptation and speciation. Here we investigate the evolution sex chromosomes in the tribes Tilapiini, Coptodonini, Heterotilapiini, Gobiocichlini, Pelmatolapiini and Oreochromini. We assembled chromosome-scale genomes of male and female Pelmatotilapia mariae. We then mapped pooled sequencing reads for males and females of P. mariae and 12 additional species on several genome assemblies to identify sex chromosomes. Tilapia sparrmanii and Oreochromis aureus share a ZW system on LG3 that overlaps the ZW system identified in P. mariae. Heterotilapia buettikoferi, T. brevimanus and Coptodon bakossiorum share an XY system mapping to another region of LG3. Coptodon zilli, Sarotherodon galilaeus, S. melanotheron and O. niloticus share an XY system on LG1. Finally, O. mossambicus and O. shiranus share an XY system on LG14 and we find evidence of an XY system on LG20 in Danakilia sp. ‘shukoray’. The phylogenetic distribution of these sex determination systems suggests a long period of polymorphism for the systems on LG1 and LG3 and a generally lower rate of sex chromosome turnover in these lineages compared to the lacustrine lineages of the East African radiation. Our data is not consistent with the recent suggestion of figla and banf2 as candidate genes for the LG1XY and LG3ZW systems. We suggest a possible role for ubiquitination in the XY systems on LG3. 

In an effort to reduce nitrogen oxide (NOx) emissions and other pollutants from heavy-duty vehicles (HDVs), regulators have been implementing more stringent regulations that have included a combination of significantly more stringent emissions standards with the introduction of battery electric vehicles (BEVs). This study analyzed in-use NOx emissions data from 63 HDVs across various vocations, model years, and engine technologies/fuels to assess which current technologies offer a realistic path toward reducing NOx emissions without significantly burdening fleet operators or electrical infrastructure. All 63 HDVs were equipped with portable emissions measurement systems when they were tested for in-use NOx emissions during their routine operation on California roadways. The data was analyzed using the moving average window method proposed by the Environmental Protection Agency (EPA) in which the in-use emissions are broken up into two bins dependent on the engine load: ≤6 % (idle) and >6 % of maximum rated power. It was found that diesel engines manufactured after 2020 and natural gas engines certified to the 0.02 g/bhp-h NOx standard met the 2027 and 2035 EPA in-use NOx standards for both bins even though the future standards do not apply to these older engines. In addition, over an 80 % reduction in average NOx emissions is seen in both bins and fuels as modern NOx and greenhouse gas standards were implemented in 2017. With the implementation of ultralow NOx diesel technology engines, capable of meeting 0.035 g/bhp-h NOx limits, it was found that reductions in the NOx emissions inventories from 90.0 to 91.9 % could be achieved by 2050, depending on the deployment of BEVs. In conclusion, current and upcoming engine technologies can serve as benchmark powertrain solutions for emissions inventory reductions in the near and intermediate terms solutions even to the extent that the transition to battery electric HDVs becomes more gradual. 

Red tilapia are favored by consumers, but the molecular genetic basis for this color pattern is unknown. Here we report on the genetic and physical mapping of the red locus in two strains of tilapia. We raised ~3000 hybrid individuals to map the red locus to a single bacterial artificial chromosome clone on linkage group 3. Long-read sequencing allowed us to assemble contigs spanning both the black and red haplotypes. The red haplotype contains additional repetitive sequence totaling almost one megabase that includes no obvious candidate genes. We suggest that the red phenotype may arise from substitutions in a protein in the primary cilia (Ccdc149), or changes in the expression of a nearby gene (nckx2). Red mutations in several unlinked loci have now been identified, creating an opportunity to identify the best allelic combinations for aquacultural production. 

Plants synthesize thousands of volatile organic compounds (VOCs) (see Glossary), which mainly include isoprene (C5, hemiterpene) and monoterpenes (C10) from the methylerythritol-4-phosphate pathway (MEP) in chloroplasts (Figure 1). Sesquiterpenes and diterpenes are less volatile and are not discussed here. Global emissions are estimated to range from 300 to 440 Tg C·year–1 for isoprene and 90 to 100 Tg C·year–1 for monoterpenes [1., 2., 3.]. Biosynthesis of isoprenoids consumes 1–2% of carbon fixed by photosynthesis under normal conditions and >10% under stress, especially under high temperature [4., 5., 6.]. In nature, the highest emissions of isoprenoids are also detected during the hottest months of the year, as a result of an increase in the abundance of precursors, related enzyme activities, gene expression, and diffusion rates (of storage monoterpenoids) 

Abstract Chromosomal inversions are an important class of genetic variation that link multiple alleles together into a single inherited block that can have important e7ects on fitness. To study the role of large inversions in the massive evolutionary radiation of Lake Malawi cichlids, we used long-read technologies to identify four single and two tandem inversions that span half of each respective chromosome, and which together encompass over 10% of the genome. Each inversion is fixed in one of the two states within the seven major ecogroups, suggesting they played a role in the separation of the major lake lineages into specific lake habitats. One exception is within the benthic sub-radiation, where both inverted and non-inverted alleles continue to segregate within the group. The evolutionary histories of three of the six inversions suggest they transferred from the pelagic Diplotaxodon group into benthic ancestors at the time the benthic sub-radiation was seeded. The remaining three inversions are found in a subset of benthic species living in deep waters. We show that some of these inversions are used as XY sex-determination systems but are also likely limited to a subset of total lake species. Our work suggests that inversions have been under both sexual and natural selection in Lake Malawi cichlids and that they will be important to understanding how this adaptive radiation evolved. 

The red-degraded [12.7]5Δ–X5Δ (0–0) band of gas-phase vanadium fluoride at 789 nm has been recorded by laser excitation spectroscopy and represents only the second reported rotational analysis of an electronic transition of VF. A hollow cathode discharge source was employed, with laser-induced fluorescence detected via the [12.7]5Δ–X5Δ (0–1) band. All five main (∆Ω = 0) subbands were identified, each containing only P and R branches, as expected in a parallel (∆Λ = 0) transition. The upper state displays the effects of strong local perturbations. Molecular constants describing the X5Δ (v = 0 and 1) levels and the [12.7]5Δ (v = 0) level were determined from least-squares fits using an effective Hamiltonian written in a Hund’s case (a) basis. The equilibrium rotational constant of the ground state was determined to be Be = 0.38324(89) cm−1, which yields a molecular bond length of Re = 1.7829(21) Å.