Complex Evolution Research Articles

Comparative anatomy and evolution of the atlantoaxial complex in the fossorial lineage Amphisbaenia (Squamata: Lacertoidea).

The atlas and axis are the first two vertebrae from the cervical series; these two vertebrae are responsible for neck flexion, extension, and rotation movements, while providing insertion points for muscles and tendons. Amphisbaenia is a group of fossorial squamates known for having four distinctive head shapes, which are related to different excavation methods. However, little is known about the relationship between these different digging patterns and the anatomy and evolution of the atlantoaxial complex. In this study, we used computed microtomography data to describe in detail of the atlantoaxial complex for 15 species, belonging to all six current families of Amphisbaenia. Furthermore, we evaluate evolutionary scenarios of selected characters related to the atlantoaxial complex in the most recent phylogeny for Amphisbaenia, using the criteria of parsimony and maximum likelihood. Our results indicate that the evolutionary pattern of the atlantoaxial complex presents a diversification in its morphology that is not always correlated with the shape of the head. This analysis reinforces the hypothesis of remarkable morphological convergences in the evolutionary history of Amphisbaenia. Additionally, some of the characters studied may represent independent evolution through convergence in some cases (e.g., horizontal axis of the neural column) and parallelism in others (e.g., present or absent from the transverse process).

The potentiality of bacteria to drive SARS-CoV-2 mutation.

A recent study published in mBio by Cao et al. revealed the crucial roles of bacteria in benefitting SARS-CoV-2 mutations (B. Cao, X. Wang, W. Yin, Z. Gao, and B. Xia, mBio e3187-23, 2024, https://doi.org/10.1128/mbio.03187-23). Understanding the underlying mechanisms driving the evolution of SARS-CoV-2 is crucial for predicting the future trajectory of the COVID-19 pandemic and developing preventive and treatment strategies. This study provides important insights into the rapid and complex evolution of viruses facilitated by bacterial-virus interactions.

Cryogenic Failure Behaviors of Al–Mg–Si Alloy Tubes in Bulging Process

Abstract Cryogenic medium pressure forming has been developed to form the complex-shaped tubular components, in which the needed shape and tube diameter directly determine the complex evolution of biaxial stress in bulging process. The superposition of biaxial stress and cryogenic temperature complicates the deformation behaviors, especially for the final fracture and bulging limit, which determine the forming quality of components. Therefore, the effects of tube geometry on failure orientation and fracture strain of Al–Mg–Si alloy tubes under cryogenic biaxial stress were elucidated, by utilizing cryogenic free bulging with different length–diameter ratios. The failure orientations and corresponding damage modes under different bulging geometric conditions were revealed. The influence mechanism of tube geometry and temperature on the failure mode was analyzed theoretically. A fracture model was established to predict the fracture strain in cryogenic bulging. The failure mode changes from circumferential cracking to axial cracking with the decreasing length–diameter ratio, owing to the stress sequence reversal induced by the significant nonlinearity of the stress path under a small length–diameter ratio. The failure mode can inverse under a larger length–diameter ratio of 1.0 at −196 °C because of the enhanced nonlinearity, which is promoted by the improved plasticity at cryogenic temperature. The established model based on the more accurate assessment of hardening ability during deformation can accurately predict the fracture strain with an average deviation of 10.6% at different temperatures. The study can guide deformation analysis and failure prediction in the cryogenic forming of aluminum alloy tubular parts.

Prediction of CO2 emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

One of the most significant issues in urban design is energy-related CO2 emissions, which are rising quickly as cities expand. The GDP of the Central European countries (from 1990 to 2016) based on several energy sources, such as coal, oil, natural gas, and renewable energy, are used as inputs in this study. To develop a reliable predictive network considering the problem complexity, multilayer perceptron (MLP) is combined with several nature-inspired optimization algorithms, namely, black hole algorithm (BHA), future search algorithm (FSA), backtracking search algorithm (BSA), biogeography-based optimization (BBO), and shuffled complex evolution (SCE). By applying the approaches mentioned above to the synthesis of the MLP, the recommended BBO, BHA, BSA, FSA, and SCE ensembles are obtained. A series of parametric studies are performed to improve the effectiveness of the employed models. It is found that, by combining the BBO, BHA, BSA, FSA, and SCE algorithms, the MLP's accuracy is increased. The result from this parametric analysis showed that SCE and BBO perform better than the other three algorithms as the CO2 emission was computed with the highest level of accuracy using R2 = 0.9999 and 0.9998, RMSE = 1.6781 and 2.0539 for SCE, and R2 = 0.9999 and 0.9998, RMSE = 1.8689 and 2.3833 for BBO.

Magma flux variations triggering shallow-level emplacement of the Takidani pluton (Japan): Insights into the volcanic-plutonic connection

Defining the physico-chemical evolution of felsic magmatic reservoirs in the middle-upper continental crust is crucial for understanding the connection between granitic plutons and silicic volcanic rocks and for research on the trigger mechanisms of volcanic eruptions. In this study, we investigate the formation and evolution of the Hotaka-Takidani volcano-plutonic complex (Japan) using a comprehensive approach that integrates zircon petrochronology with phase-equilibria and thermal modelling. The Takidani pluton is a Pleistocene tilted zoned intrusion of granodiorite-granite composition associated with at least two large caldera-forming eruptions. We have investigated the three uppermost units of the pluton and the oldest and more voluminous Nyukawa eruption, which deposited more than 400 km3 (DRE, dense rock equivalent) of crystal-rich dacitic ignimbrite. Amphibole thermobarometry, U-Pb zircon dates and geochemical data indicate that the Takidani pluton and the Nyukawa dacite were sequentially sourced from a 10–12 km-thick long-lived magmatic reservoir in the middle crust. Thermal evolution of the reservoir led to the extraction of the Nyukawa magma, followed by brief storage in the upper crust and eruption at ca. 1.706 ± 0.091 Ma. For two of the units of the pluton, we combine high-spatial resolution zircon U-Pb geochronology with zircon chemical data. Applying the Ti-in-zircon thermometer, we observe that magma within the reservoir was stored at a relatively constant temperature of ca. 700 °C for 300 kyr and subsequently, starting from 1.4 Ma, the temperature increased progressively reaching 820–850 °C at 1.1 Ma. This temperature shift is inconsistent with a constant magma flux and suggests an increase of the magma injection rate into the reservoir. Using the distribution of zircon ages and thermal simulations, we determined that the reservoir was built by a fairly low average magma flux of ca. 6 × 10−6 km3*km−2*yr−1, shifting to a magma supply rate which is three to four times higher during the last 300 ka of zircon crystallisation. This increase in magma flux caused the final emplacement of the Takidani magma in the upper crust, where it rapidly crystallized. The integration of geochronological data with phase-equilibria and thermo-chemical modelling demonstrates that multiple melt extraction events occurred during the evolution of the Hotaka-Takidani magmatic system. Only the first one triggered a major eruption, while subsequent events resulted in the emplacement of the Takidani pluton in the shallow crust.

Penfhigus Vulgaris: Report Of A Clinical Case

The current article analyzes the topic of pemphigus vulgaris, which is described as an autoimmune disease affecting the skin and mucous membranes, characterized mainly by the formation of superficial blisters on the skin and oral mucosa. The objective was to present a case study of a patient with pemphigus vulgaris. A qualitative and descriptive investigation was carried out in this study. The 40-year-old male patient with pemphigus vulgaris had a complex but satisfactory evolution. Following an exacerbation in July 2023 and complications such as oral ulcers and ocular issues, he was hospitalized again. Aggressive treatment was initiated with medication adjustments, resulting in significa[1]nt improvement with remission of skin lesions, pain control, and no signs of infection. After multidisciplinary follow-up and treatment, he was discharged on November 8, 2023, showing a positive response and improved quality of life. This case highlights the importance of a comprehensive approach in pemphigus vulgaris treatment and the need for ongoing monitoring to prevent relapses and future complications.

A comprehensive framework for the delimitation of species within the Bemisia tabaci cryptic complex, a global pest-species group.

Identifying cryptic species poses a substantial challenge to both biologists and naturalists due to morphological similarities. Bemisia tabaci is a cryptic species complex containing more than 44 putative species; several of which are currently among the world's most destructive crop pests. Interpreting and delimiting the evolution of this species complex has proved problematic. To develop a comprehensive framework for species delimitation and identification, we evaluated the performance of distinct data sources both individually and in combination among numerous samples of the B. tabaci species complex acquired worldwide. Distinct datasets include full mitogenomes, single-copy nuclear genes, restriction site-associated DNA sequencing, geographic range, host speciation, and reproductive compatibility datasets. Phylogenetically, our well-supported topologies generated from threedense molecular markers highlighted the evolutionary divergence of species of the B. tabaci complex and suggested that the nuclear markers serve as a more accurate representation of B. tabaci species diversity. Reproductive compatibility datasets facilitated the identification of at least 17 different cryptic species within our samples. Native geographic range information provides a complementary assessment of species recognition, while the host range datasets provide low rate of delimiting resolution. We further summarized different data performances in species classification when compared with reproductive compatibility, indicating that combination of mtCOI divergence, nuclear markers, geographic range provide a complementary assessment of species recognition. Finally, we represent a model for understanding and untangling the cryptic species complexes based on the evidence from this study and previously published articles.

An encoder-decoder ConvLSTM surrogate model for simulating geological CO2 sequestration with dynamic well controls

In Geological Carbon Sequestration (GCS), effectively managing the project requires predicting state variables such as pressure and saturation. However, numerical simulation of multiphase flow in subsurface porous media involves solving large linear algebra systems, resulting in a substantial computational burden. This can make it impractical for real-time history matching or optimization. Meanwhile, deep learning-based surrogate models are emerging as fast and accurate approximators. This study delves into the application of the Encoder-Decoder Convolutional Long Short-Term Memory (ED-ConvLSTM) neural network for predicting the complex evolution of state variables under dynamic CO2 injection schemes. Inception blocks enhanced with light-weighted attention modules are introduced in the encoder to extract high-dimensional input features. ConvLSTM is employed to propagate spatial temporal information in the low-dimensional latent space. Further, progressive upsampling blocks are used to reconstruct the latent features for the desired output. Instead of taking discrete time steps as an input feature, the proposed network captures the dynamic dependencies with the inherent ConvLSTM cell. The network has access to data at only portion of the initial time steps during training stage, while it is used to predict the state variables at unseen time steps during testing stage. Results show that the network can produce excellent predictions for both pressure and saturation, even at unseen future time steps. The remarkable generalizability to different geological permeability fields is also evaluated. ED-ConvLSTM outperforms the standard U-Net by far, especially when predicting beyond the training time period. These numerical experiments demonstrate the advantages of ED-ConvLSTM in terms of prediction accuracy, extrapolability and generalizability. This study highlights the importance of incorporating recurrent connections into the deep neural networks for simulating time-dependent multiphase flow problems. The proposed methodology has great potential in GCS surrogate modeling and offers a possible approach for real-time optimization of CO2 injection.

Pyrolysis characteristics, kinetics and products of flexible polyurethane foam in luxury cruise ship via TG, FTIR, GC-MS and Shuffled Complex Evolution

Flexible polyurethane foam is widely used in furniture upholstery, car seats, and other products. Its safety has attracted increasing attention, especially fire safety in luxury cruise ship. Thermogravimetry-Fourier Transform Infrared Spectroscopy-Gas Chromatography-Mass Spectrometry (TG-FTIR-GC-MS) is used to explore the pyrolysis characteristics of flexible polyurethane foam. The experimental results show that three weight loss peaks can be observed in the pyrolysis of flexible polyurethane foam under nitrogen atmosphere, which implies that the pyrolysis behaviors of isocyanate, polyol and catalyst are responsible for the peaks. The pyrolysis process of flexible polyurethane foam can be divided into two regions: the fifth-order reaction (F5) model and the one-dimensional diffusion (D1) model corresponding to regions I and II, respectively. The main pyrolysis intermediate function groups includes CO2, gaseous H2O, C-O, C=O, C-H and other functional group stretching products. The amount of intermediate function groups generated in order of most to least is C-O > C-H > CO2 > C=O > H2O. Six main products are generated under the N2 atmosphere, including Ethane, 2-Octen-1-ol, 3,7-dimethyl-isobutyrate, Diisopropyl ether, 1-Propoxypropan-2-yl acetate, Z-8-Methyl-9-tetradecenoic acid, Methyl 7,9-tridecadienyl ether and N-(2-Methylbutyl) undeca-(2E,4E)-diene-8,10-diynamide. The Shuffled Complex Evolution (SCE) algorithm is used to optimize the experimental pyrolysis kinetic parameters, and the optimized data show good agreement with the experimental data.

Enhancing citric acid tolerance of Acetobacter tropicalis using chemical and physical mutagenesis and adaptive evolution to improve the quality of lemon fruit vinegar.

The high concentration of citric acid in lemons limits the production of lemon fruit vinegar because it inhibits the metabolism of acetic acid bacteria and reduces the utilization of raw materials. This study aimed to enhance the citric acid tolerance of Acetobacter tropicalis by using complex mutagenesis and adaptive laboratory evolution (ALE) and improving the quality of lemon fruit vinegar. After mutagenesis and ALE, A. tropicalis JY-135 grew well under 40g/L citric acid, and it showed high physiological activity and excellent fermentation performance under high concentrations of citric acid. The survival rate and ATP content of JY-135 were 15.27 and 9.30 times higher than that of the original strain J-2736. In the fermentation of lemon fruit vinegar, the acid production and the number of aroma-active compounds were 1.61-fold and 2.17-fold than J-2736. In addition, we found that citric acid tolerance of JY-135 is related to the respiratory electron-transport chain and the tricarboxylic acid (TCA) cycle. This work is of great significance for the production of high-quality lemon fruit vinegar and the enrichment of seed resources of acetic acid bacteria.

Complex evolution in thin air: Investigating female flightlessness and diel behaviour in geometrid moths (Lepidoptera)

AbstractMany unique high‐altitude mountain ecosystems have been declining due to climate change, posing a threat to flora and fauna that have adapted to these ecosystems. This study explores the evolution of high‐altitude adaptations, focusing on female flightlessness and diel activity, in geometrid moths (Lepidoptera: Ennominae, Gnophini) within the European Alps. We constructed a phylogeny of Gnophini moths using a dataset of 157 taxa, with up to seven genetic markers and traced the evolutionary history of diel activity and wing length reduction in females. Analysis of divergence times suggested that female flightlessness has evolved at least three times independently between the early and late Miocene. The evolution of wing length reduction is likely correlated with elevation, indicating adaptations to cold and windy conditions in high altitude. The evolutionary events leading to shifts in adult diel activity, from ancestral nocturnality to diurnality, have occurred independently at least three times and may also be a consequence of adaptations at high elevations. Strikingly, among diurnal Sciadia, two species have evolved further to become nocturnal like their ancestors. Our findings highlight how phylogenies can provide new insights into evolutionary patterns in moths. We provided a robust basis for resolving taxonomic ambiguities in Alpine Gnophini, leading us to propose 10 changes to the current classification: Scrupodes Lee & Sihvonen gen. n., Elophos Boisduval (type species Geometra operaria Hübner) is considered a junior synonym of Sciadia Hübner syn. n., Yezognophos dilucidaria (Denis & Schiffermüller) and Y. sproengertsi (Püngeler) are transferred to Parietaria Leraut comb. n., Yezognophos serotinaria (Denis & Schiffermüller) is transferred to Scrupeus Lee & Sihvonen comb. n., Elophos caelibaria (Heydenreich), E. zirbitzensis (Pieszcek), E. operaria (Hübner) and E. andereggaria (De La Harpe) are transferred to Sciadia Hübner comb. n. and Dichrognophos Wehrli (type species Gnophos orthogonia Wehrli) is transferred from Ennominae: Cassymini to Ennominae: Gnophini.

Hydrogen Production via Electrolysis of Wastewater.

The high energy consumption of traditional water splitting to produce hydrogen is mainly due to complex oxygen evolution reaction (OER), where low-economic-value O2 gas is generated. Meanwhile, cogeneration of H2 and O2 may result in the formation of an explosive H2/O2 gas mixture due to gas crossover. Considering these factors, a favorable anodic oxidation reaction is employed to replace OER, which not only reduces the voltage for H2 production at the cathode and avoids H2/O2 gas mixture but also generates value-added products at the anode. In recent years, this innovative strategy that combines anodic oxidation for H2 production has received intensive attention in the field of electrocatalysis. In this review, the latest research progress of a coupled hydrogen production system with pollutant degradation/upgrading is systematically introduced. Firstly, wastewater purification via anodic reaction, which produces free radicals instead of OER for pollutant degradation, is systematically presented. Then, the coupled system that allows for pollutant refining into high-value-added products combined with hydrogen production is displayed. Thirdly, the photoelectrical system for pollutant degradation and upgrade are briefly introduced. Finally, this review also discusses the challenges and future perspectives of this coupled system.

A study of extreme rainfall events and urban flooding over Hyderabad, October 2020

The present study analyses and describes the evolution of the Mesoscale Convective Complex (MCC) and its atmospheric conditions during Extreme rainfall event in Hyderabad, on 13th October 2020. This extreme weather event was a mesoscale event embedded in a synoptic-scale system. During the second week of October 2020, a depression formed over the west-central Bay of Bengal (BoB) and travelled north-westwards through peninsular India, causing heavy rains in Andhra Pradesh and Telangana states of India on October 13-14. On October 13, many parts of Hyderabad and Cyberabad received more than 300 mm of rain within 24 hrs. Satellite imagery suggests that this mesoscale system constituted a unique set of structured convection those reported in MCC. This MCC has a cloud shield with a continuous low IR temperature of less than - 33 °C over an area of more than 100000 km2 and a cloud shield with a continuous low IR temperature of less than -54 °C over an area of more than 50000 km2 over Hyderabad with a life cycle of about 9 hours. This MCC featured multi cellular characteristics, showing that there was significant low-level moisture in its environment, as well as a mix of vigorous updrafts, implying significant rainfall rates over Hyderabad. The synoptic features suggest that with high precipitable water, the long axis of low-level moisture convergence at 0850 hPa and large horizontal vorticity at 0925 hPa were oriented parallel to the system's mean wind flow. In this case, a clusters of thunderstorms arose in the area of moisture convergence which prolonged the duration of extremely heavy rainfall. The high rain rate, relatively sluggish storm motion, and prolonged back-building over the same locations for several hours are likely to blame for the heavy rainfall accumulations that were observed. The hydrological conditions compounded the effects of the torrential rain, resulting in a natural hazard.

Abstract 7397: Application of state transition theory for predicting responses of acute myeloid leukemia to chemotherapy

Abstract Acute Myeloid Leukemia (AML) is aggressive cancer that initiates in the bone marrow (BM) and circulates in the peripheral blood (PB). The AML initiation and progressions are complex disease evolution associated with gene mutations and chromosomal abnormalities that change expression profiles of downstream genes characterizing functional networks of leukemic cells. We previously reported the application of the state-transition theory to characterize AML disease progression by modeling transcriptome changes during AML progression as a dynamic system that undergoes state-transition in an AML state-space characterized by an AML potential. Here, we investigate the impact of treatment on transcriptome state-transition and examine the hypothesis that treatment dynamically alters the AML potential. We use the Cbfb-MYH11 (CM) knock-in AML mouse model and a ”5+3” chemotherapy regimen to model the impact of current standard of care for newly diagnosed AML. CM leukemic mice were treated with a combination of cytarabine (Ara-C; 50mg/kg/day; 5 days) and Daunorubicin (DNR; 1.5mg/kg/day; 3 days) after detection of overt leukemia, defined by > 20% leukemia blast (cKit+) detected by flow cytometry in the PB. Time-series samples of peripheral blood mononuclear cell (PBMC) (n=174) were collected weekly before, during, and following “5+3” chemotherapy and subjected to RNA sequencing. All samples were mapped to the AML state-space constructed based on time-sequential RNA-seq collected over the course of CM AML development. Based on the state-transition model, all 10 treated AML mice achieved partial response to chemotherapy with a mean time to relapse (return to leukemia state) of 5 weeks confirming the anti-leukemia effects of treatment by the blast percentages (ckit%). We used the state-transition treatment model to study the dynamics of chemotherapy on the AML potential using state-space trajectories before, during, and after “5+3” chemotherapy. Dynamic changes of concentrations of Ara-C and DNR in the CM mouse model during ”5+3” chemotherapy were modeled by drug doses, half-life, and Heaviside step function. The drug effects were introduced to the AML potential as anti-leukemic treatment forces. Several treatment protocols were examined to find combinations of drug doses and timing that showed the longest survival rates. The model predicted that sequential doses reducing 50% of the original “5+3” chemotherapy dose would produce the longest survival rate. The model suggests that controlling the state-space trajectories in the healthy state with reduced doses will provide the most effective outcomes from “5+3” chemotherapy. Citation Format: Lisa Uechi, Yu-Hsuan Fu, David E. Frankhouser, Lianjun Zhang, Ying-Chieh Chen, Denis O'Meally, Sergio Branciamore, Jihyun Irizarry, Bin Zhang, Guido Marcucci, Ya-Huei Kuo, Russell C. Rockne. Application of state transition theory for predicting responses of acute myeloid leukemia to chemotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7397.

Strong stabilization of damped nonlinear Schrödinger equation with saturation on unbounded domains

We consider the damped nonlinear Schrödinger equation with saturation: i.e., the complex evolution equation contains in its left hand side, besides the potential term V(x)u, a nonlinear term of the form iμu(t,x)/|u(t,x)| for a given parameter μ>0 (arising in optical applications on non-Kerr-like fibers). In the right hand side we assume a given forcing term f(t,x). The important new difficulty, in contrast to previous results in the literature, comes from the fact that the spatial domain is assumed to be unbounded. We start by proving the existence and uniqueness of weak and strong solutions according the regularity of the data of the problem. The existence of solutions with a lower regularity is also obtained by working with a sequence of spaces verifying the Radon-Nikodým property. Concerning the asymptotic behavior for large times we prove a strong stabilization result. For instance, in the one dimensional case we prove that there is extinction in finite time of the solutions under the mere assumption that the L∞-norm of the forcing term f(t,x) becomes less than μ after a finite time. This presents some analogies with the so called feedback bang-bang controls v (here v=−iμu/|u|+f).

Dynamic evolution of the T1 phase and its effect on continuous dynamic recrystallization in Al–Cu–Li alloys

The T1 phase is the highest density and most prominent strengthening effect precipitate in Al–Cu–Li alloys, and it undergoes a complex dynamic evolution during hot deformation, which has significant effects on microstructure development and hot working. This study comprehensively characterizes and analyzes the dynamic evolution of the T1 phase at 400 °C/0.01 s−1 and its influence on continuous dynamic recrystallization (CDRX). The results indicate that the T1 phase successively undergoes coarsening, fracture, dissolution, dynamic precipitation, recoarsening, and spheroidization during deformation. A shear-coupled diffusion mechanism is proposed to explain the ultrafast coarsening rate of the T1 phase in early deformation. During the dynamic precipitation of the T1 phase, an anomalous inhomogeneous size and spatial distribution of the T1 phase are observed, and a high number density of fine T1 phases form in the matrix (with a denser, thinner and shorter size at the dislocation wall). The dynamically precipitated T1 phase is affected by the octahedral slip system during the coarsening process and exhibits a selective ripening phenomenon. The T1 phase formed by aging increases the inhomogeneity of the deformation and induces many substructures intragranularly, decreasing the percentage of CDRX grains but increasing the CDRX potential. Conversely, the dynamically precipitated T1 phase and its evolution accelerate CDRX development by promoting the transformation of LAGBs to HAGBs. In addition, the effects of dynamically evolving precipitates on the dislocations and formation modes of LAGBs at various deformation stages are elucidated. The results can provide valuable insights into the regulation of microstructure, and the development of high-performance Al–Cu–Li alloys, and also offer a theoretical and experimental basis for microstructure modeling.

Continuous evolution of compact protein degradation tags regulated by selective molecular glues.

Conditional protein degradation tags (degrons) are usually >100 amino acids long or are triggered by small molecules with substantial off-target effects, thwarting their use as specific modulators of endogenous protein levels. We developed a phage-assisted continuous evolution platform for molecular glue complexes (MG-PACE) and evolved a 36-amino acid zinc finger (ZF) degron (SD40) that binds the ubiquitin ligase substrate receptor cereblon in complex with PT-179, an orthogonal thalidomide derivative. Endogenous proteins tagged in-frame with SD40 using prime editing are degraded by otherwise inert PT-179. Cryo-electron microscopy structures of SD40 in complex with ligand-bound cereblon revealed mechanistic insights into the molecular basis of SD40's activity and specificity. Our efforts establish a system for continuous evolution of molecular glue complexes and provide ZF tags that overcome shortcomings associated with existing degrons.

Kepler main-sequence solar-like stars: surface rotation and magnetic-activity evolution

While the mission’s primary goal was focused on exoplanet detection and characterization, Kepler made and continues to make extraordinary advances in stellar physics. Stellar rotation and magnetic activity are no exceptions. Kepler allowed for these properties to be determined for tens of thousands of stars from the main sequence up to the red giant branch. From photometry, this can be achieved by investigating the brightness fluctuations due to active regions, which cause surface inhomogeneities, or through asteroseismology as oscillation modes are sensitive to rotation and magnetic fields. This review summarizes the rotation and magnetic activity properties of the single main-sequence solar-like stars within the Kepler field. We contextualize the Kepler sample by comparing it to known transitions in the stellar rotation and magnetic-activity evolution, such as the convergence to the rotation sequence (from the saturated to the unsaturated regime of magnetic activity) and the Vaughan-Preston gap. While reviewing the publicly available data, we also uncover one interesting finding related to the intermediate-rotation gap seen in Kepler and other surveys. We find evidence for this rotation gap in previous ground-based data for the X-ray luminosity. Understanding the complex evolution and interplay between rotation and magnetic activity in solar-like stars is crucial, as it sheds light on fundamental processes governing stellar evolution, including the evolution of our own Sun.

The Saavedra Lamas Peace: How a Norm Complex Evolved and Crystallized to Eliminate War in the Americas

Abstracts After the Napoleonic Wars interstate war regularly occurred throughout the Western Hemisphere—until in matter of decades it disappeared. After the 1930s even low-level militarized interstate conflict became less frequent, shorter, and less severe over time. What explains the change in this specific region and historical jucture? We argue that leaders in the Americas identified territorial disputes and foreign intervention as interrelated problems that frequently caused the interstate war. In response, they developed a unique regional norm-complex that bundled together the norms of territorial integrity and non-intervention with the principle of peaceful conflict resolution. This norm complex emerged via Latin American entrepreneurship shortly after independence, cascaded with Pan-Americanism, and crystallized around the signature of the Saavedra Lamas Treaty in the early 1930s. We explain how, why, and when norm complexes develop. We then investigate the evolution and effects of the Latin American norm complex via statistics and within-case counterfactuals. We conclude that interstate war disappeared from the Americas with the acceptance and codification of this norm-complex.

Paleogene mid-crustal intrusions in the Ruby Mountains–East Humboldt Range metamorphic core complex, northeastern Nevada, USA

Abstract Middle Eocene to early Oligocene intrusions, widespread in the Ruby Mountains–East Humboldt Range metamorphic core complex, Nevada, USA, provide insights into a major Paleogene magmatic episode and its relation to tectonism in the northeastern Great Basin. These intrusions, well-exposed in upper Lamoille Canyon, range in composition from gabbro to leucomonzogranite. They form small plutons, sheets, and dikes that intrude the metamorphic and granitic infrastructure of the core complex. Two types of Paleogene monzogranite were recognized. The first is exemplified by two of the larger intrusive bodies, the Snow Lake Peak and Castle Lake intrusions, which occur as sheet-like bodies near and at the structural base of metamorphosed Neoproterozoic and Cambrian Prospect Mountain Quartzite where it is inverted above Cambrian and Ordovician marble of Verdi Peak in the Lamoille Canyon nappe. Swarms of dikes are associated with these intrusions. U-Pb (zircon) ages range ca. 40–33 Ma and typically display relatively simple and minor inheritance. The rocks have the lowest εHf (zircon) and εNd (whole rock) of any of the middle Cenozoic granites. The second type of monzogranite, Overlook type, typically occurs as thin, isolated dikes and leucosome-like bodies in Late Cretaceous granites of the infrastructure, with no obvious relationship to the large monzogranite bodies. Overlook-type monzogranite displays complex zircon inheritance, yields igneous ages ca. 37–32 Ma, and has εHf (zircon) and εNd (whole rock) identical to those of Late Cretaceous granites in the core complex. These isotopic and field data indicate that Overlook-type monzogranite formed in situ through anatexis of host Cretaceous granites. A pervasive thermal event was required to stimulate this crustal melting. Gabbros from Lamoille Canyon and quartz diorite dated from 32 km away signal mantle-derived magmatism ca. 39–37 Ma (U-Pb, zircon) was a driver of crustal melting and hybridization. Eocene 40Ar/39Ar apparent ages on hornblende and biotite are consistent with syn- to post-magmatic extensional exhumation and decompression. Thus, the core complex provides a window into trans-crustal magmatism and insight into how such magmatism affected the Nevadaplano orogenic plateau. This Paleogene thermal pulse, which may relate to removal of the Farallon slab by delamination of mantle lithosphere, involved partial melting of the upper mantle and transfer of magma and heat to the Nevadaplano crust. Lower-crustal melting of Archean(?) to Paleoproterozoic rocks resulted in Snow Lake Peak–type magmas, and middle-crustal melting of granite in the infrastructure yielded Overlook-type magmas. This crustal magmatism, as exemplified by the intrusions in the core complex, likely played a role in destabilizing the Nevadaplano and its later collapse during middle Miocene extension. The Paleogene intrusions and associated structural features also provide insight into the evolution of the core complex through either the buoyant upwelling of a melt-rich diapir (gneiss-dome model) or buoyant upwelling of the melt-rich middle crust synchronous with a west-rooted mylonitic shear zone (extensional shear-zone model). We favor a hybrid that incorporates both models.