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In This Issue Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14
Proceedings of the National Academy of Sciences, Volume 121, Issue 20, May 2024.
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Deceived by Immersion: A Systematic Analysis of Deceptive Design in Extended Reality ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Hilda Hadan, Lydia Choong, Leah Zhang-Kennedy, Lennart E. Nacke
The well-established deceptive design literature has focused on conventional user interfaces. With the rise of extended reality (XR), understanding deceptive design’s unique manifestations in this immersive domain is crucial. However, existing research lacks a full, cross-disciplinary analysis that analyzes how XR technologies enable new forms of deceptive design. Our study reviews the literature on
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A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Jean-Gabriel Gaudreault, Paula Branco
Novelty detection in data streams is the task of detecting concepts that were not known prior, in streams of data. Many machine learning algorithms have been proposed to detect these novelties, as well as integrate them. This study provides a systematic literature review of the state of novelty detection in data streams, including its advancement in recent years, its main challenges and solutions,
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A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Huiyuan Lai, Malvina Nissim
Figurative language generation (FLG) is the task of reformulating a given text to include a desired figure of speech, such as a hyperbole, a simile, and several others, while still being faithful to the original context. This is a fundamental, yet challenging task in Natural Language Processing (NLP), which has recently received increased attention due to the promising performance brought by pre-trained
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Integration of Sensing, Communication, and Computing for Metaverse: A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Xiaojie Wang, Qi Guo, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, Yan Zhang
The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can game, work, learn, and socialize. The realization of metaverse not only requires a large amount of computing resources to realize the rendering of the virtual world, but also requires communication resources to realize real-time transmission of massive data to ensure a good user experience. The metaverse is
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Neuromorphic Perception and Navigation for Mobile Robots: A Review ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Alvaro Novo, Francisco Lobon, Hector Garcia de Marina, Samuel Romero, Francisco Barranco
With the fast and unstoppable evolution of robotics and artificial intelligence, effective autonomous navigation in real-world scenarios has become one of the most pressing challenges in the literature. However, demanding requirements, such as real-time operation, energy and computational efficiency, robustness, and reliability, make most current solutions unsuitable for real-world challenges. Thus
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Artificial Intelligence for Web 3.0: A Comprehensive Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Meng Shen, Zhehui Tan, Dusit Niyato, Yuzhi Liu, Jiawen Kang, Zehui Xiong, Liehuang Zhu, Wei Wang, Xuemin (Sherman) Shen
Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchain and cryptography. It is born to solve the problems faced by the previous generation of the Internet such as imbalanced distribution of interests, monopoly of platform resources, and leakage of personal privacy. In this survey, we discuss the latest development status of Web 3.0 and the application
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Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Max Sponner, Bernd Waschneck, Akash Kumar
Adaptive optimization methods for deep learning adjust the inference task to the current circumstances at runtime to improve the resource footprint while maintaining the model’s performance. These methods are essential for the widespread adoption of deep learning, as they offer a way to reduce the resource footprint of the inference task while also having access to additional information about the
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A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has achieved promising results with the help of deep learning (DL). In this survey, we give an overview of DL-based SISR methods and group them according to their design targets. Specifically, we first introduce the problem definition
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UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-14 Muhammad Adil, Houbing Song, Mian Ahmad Jan, Muhammad Khurram Khan, Xiangjian He, Ahmed Farouk, Zhanpeng Jin
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuates the foreknowledge of innovative technologies. With the accelerated advancements in IoT applications, the importance of this technology became more impactful and persistent. Moreover, this technology has demonstrated useful contributions across various domains, ranging from general
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A Multi-Stage Expensive Constrained Multi-Objective Optimization Algorithm Based on Ensemble Infill Criterion IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-14 Haofeng Wu, Qingda Chen, Jiaxin Chen, Yaochu Jin, Jinliang Ding, Xingyi Zhang, Tianyou Chai
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Indexes-Based and Partial Restart-Based Constrained Multiobjective Optimization IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-14 Zhen Yang, Tangxu Yao, Yunliang Jiang, Jun Zhang, Xiongtao Zhang
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Self-Adaptation of Multi-Recombinant Evolution Strategies on the Highly Multimodal Rastrigin Function IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-14 Amir Omeradzic, Hans-Georg Beyer
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Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-14 Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li
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SRSF1 interactome determined by proximity labeling reveals direct interaction with spliceosomal RNA helicase DDX23 Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Danilo Segovia, Dexter W. Adams, Nickolas Hoffman, Polona Safaric Tepes, Tse-Luen Wee, Paolo Cifani, Leemor Joshua-Tor, Adrian R. Krainer
SRSF1 is the founding member of the SR protein family. It is required—interchangeably with other SR proteins—for pre-mRNA splicing in vitro, and it regulates various alternative splicing events. Dysregulation of SRSF1 expression contributes to cancer and other pathologies. Here, we characterized SRSF1’s interactome using proximity labeling and mass spectrometry. This approach yielded 190 proteins enriched
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Lipid-derived electrophiles inhibit the function of membrane channels during ferroptosis Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Antonius T. M. Van Kessel, Gonzalo Cosa
The therapeutic targeting of ferroptosis requires full understanding of the molecular mechanism of this regulated cell death pathway. While lipid-derived electrophiles (LDEs), including 4-hydroxy-2-nonenal (4-HNE), are important biomarkers of ferroptosis, a functional role for these highly reactive species in ferroptotic cell death execution has not been established. Here, through mechanistic characterization
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Requirements for the biogenesis of [2Fe-2S] proteins in the human and yeast cytosol Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Joseph J. Braymer, Oliver Stehling, Martin Stümpfig, Ralf Rösser, Farah Spantgar, Catharina M. Blinn, Ulrich Mühlenhoff, Antonio J. Pierik, Roland Lill
The biogenesis of iron–sulfur (Fe/S) proteins entails the synthesis and trafficking of Fe/S clusters, followed by their insertion into target apoproteins. In eukaryotes, the multiple steps of biogenesis are accomplished by complex protein machineries in both mitochondria and cytosol. The underlying biochemical pathways have been elucidated over the past decades, yet the mechanisms of cytosolic [2Fe-2S]
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Dichotomous dynamics of magnetic monopole fluids Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Chun-Chih Hsu, Hiroto Takahashi, Fabian Jerzembeck, Jahnatta Dasini, Chaia Carroll, Ritika Dusad, Jonathan Ward, Catherine Dawson, Sudarshan Sharma, Graeme M. Luke, Stephen J. Blundell, Claudio Castelnovo, Jonathan N. Hallén, Roderich Moessner, J. C. Séamus Davis
A recent advance in the study of emergent magnetic monopoles was the discovery that monopole motion is restricted to dynamical fractal trajectories [J. N. Hallén et al. , Science 378 , 1218 (2022)], thus explaining the characteristics of magnetic monopole noise spectra [R. Dusad et al., Nature 571 , 234 (2019); A. M. Samarakoon et al. , Proc. Natl. Acad. Sci. U.S.A. 119 , e2117453119 (2022)]. Here
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Genome-wide CRISPR screens in spheroid culture reveal that the tumor suppressor LKB1 inhibits growth via the PIKFYVE lipid kinase Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 John R. Ferrarone, Jerin Thomas, Arun M. Unni, Yuxiang Zheng, Michal J. Nagiec, Eric E. Gardner, Oksana Mashadova, Kate Li, Nikos Koundouros, Antonino Montalbano, Meer Mustafa, Lewis C. Cantley, John Blenis, Neville E. Sanjana, Harold Varmus
The tumor suppressor LKB1 is a serine/threonine protein kinase that is frequently mutated in human lung adenocarcinoma (LUAD). LKB1 regulates a complex signaling network that is known to control cell polarity and metabolism; however, the pathways that mediate the tumor-suppressive activity of LKB1 are incompletely defined. To identify mechanisms of LKB1-mediated growth suppression, we developed a spheroid-based
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A fungal protein organizes both glycogen and cell wall glucans Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Liza Loza, Tamara L. Doering
Glycogen is a glucose storage molecule composed of branched α-1,4-glucan chains, best known as an energy reserve that can be broken down to fuel central metabolism. Because fungal cells have a specialized need for glucose in building cell wall glucans, we investigated whether glycogen is used for this process. For these studies, we focused on the pathogenic yeast Cryptococcus neoformans , which causes
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Dark continuous noise from mutant G90D-rhodopsin predominantly underlies congenital stationary night blindness Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Zuying Chai, Yaqing Ye, Daniel Silverman, Kasey Rose, Alana Madura, Randall R. Reed, Jeannie Chen, King-Wai Yau
Congenital stationary night blindness (CSNB) is an inherited retinal disease that causes a profound loss of rod sensitivity without severe retinal degeneration. One well-studied rhodopsin point mutant, G90D-Rho, is thought to cause CSNB because of its constitutive activity in darkness causing rod desensitization. However, the nature of this constitutive activity and its precise molecular source have
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Bacterial lifestyle shapes pangenomes Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Anna E. Dewar, Chunhui Hao, Laurence J. Belcher, Melanie Ghoul, Stuart A. West
Pangenomes vary across bacteria. Some species have fluid pangenomes, with a high proportion of genes varying between individual genomes. Other species have less fluid pangenomes, with different genomes tending to contain the same genes. Two main hypotheses have been suggested to explain this variation: differences in species’ bacterial lifestyle and effective population size. However, previous studies
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Identification and characterization of a nonbiological small-molecular mimic of a Zika virus conformational neutralizing epitope Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Priscila M. S. Castanha, Patrick J. McEnaney, Yongseok Park, Anthea Bouwer, Elton J. F. Chaves, Roberto D. Lins, Nicholas G. Paciaroni, Paige Dickson, Graham Carlson, Marli T. Cordeiro, Tereza Magalhaes, Jodi Craigo, Ernesto T. A. Marques, Thomas Kodadek, Donald S. Burke
Antigenic similarities between Zika virus (ZIKV) and other flaviviruses pose challenges to the development of virus-specific diagnostic tools and effective vaccines. Starting with a DNA-encoded one-bead-one-compound combinatorial library of 508,032 synthetic, non-natural oligomers, we selected and characterized small molecules that mimic ZIKV epitopes. High-throughput fluorescence-activated cell sorter-based
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Microbes vary strategically in their metalation of mononuclear enzymes Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Sanjay Kumar Rohaun, Ramakrishnan Sethu, James A. Imlay
Studies have determined that nonredox enzymes that are cofactored with Fe(II) are the most oxidant-sensitive targets inside Escherichia coli . These enzymes use Fe(II) cofactors to bind and activate substrates. Because of their solvent exposure, the metal can be accessed and oxidized by reactive oxygen species, thereby inactivating the enzyme. Because these enzymes participate in key physiological
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ZEPPI: Proteome-scale sequence-based evaluation of protein–protein interaction models Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-14 Haiqing Zhao, Donald Petrey, Diana Murray, Barry Honig
We introduce ZEPPI (Z-score Evaluation of Protein–Protein Interfaces), a framework to evaluate structural models of a complex based on sequence coevolution and conservation involving residues in protein–protein interfaces. The ZEPPI score is calculated by comparing metrics for an interface to those obtained from randomly chosen residues. Since contacting residues are defined by the structural model
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Recent Advances for Aerial Object Detection: A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-13 jiaxu leng, Yongming Ye, Mengjingcheng MO, Chenqiang Gao, Ji Gan, Bin Xiao, Xinbo Gao
Aerial object detection, as object detection in aerial images captured from an overhead perspective, has been widely applied in urban management, industrial inspection, and other aspects. However, the performance of existing aerial object detection algorithms is hindered by variations in object scales and orientations attributed to the aerial perspective. This survey presents a comprehensive review
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A Learning-Assisted Bi-Population Evolutionary Algorithm for Distributed Flexible Job-Shop Scheduling With Maintenance Decisions IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-13 Qi Yan, Hongfeng Wang, Shengxiang Yang
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Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-13 Ye Tian, Luchen Wang, Shangshang Yang, Jinliang Ding, Yaochu Jin, Xingyi Zhang
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The physical and evolutionary energy landscapes of devolved protein sequences corresponding to pseudogenes Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Hana Jaafari, Carlos Bueno, Nicholas P. Schafer, Jonathan Martin, Faruck Morcos, Peter G. Wolynes
Protein evolution is guided by structural, functional, and dynamical constraints ensuring organismal viability. Pseudogenes are genomic sequences identified in many eukaryotes that lack translational activity due to sequence degradation and thus over time have undergone “devolution.” Previously pseudogenized genes sometimes regain their protein-coding function, suggesting they may still encode robust
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Seabirds reveal mercury distribution across the North Atlantic Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Céline Albert, Børge Moe, Hallvard Strøm, David Grémillet, Maud Brault-Favrou, Arnaud Tarroux, Sébastien Descamps, Vegard Sandøy Bråthen, Benjamin Merkel, Jens Åström, Françoise Amélineau, Frédéric Angelier, Tycho Anker-Nilssen, Olivier Chastel, Signe Christensen-Dalsgaard, Johannis Danielsen, Kyle Elliott, Kjell Einar Erikstad, Alexey Ezhov, Per Fauchald, Geir W. Gabrielsen, Maria Gavrilo, Sveinn
Mercury (Hg) is a heterogeneously distributed toxicant affecting wildlife and human health. Yet, the spatial distribution of Hg remains poorly documented, especially in food webs, even though this knowledge is essential to assess large-scale risk of toxicity for the biota and human populations. Here, we used seabirds to assess, at an unprecedented population and geographic magnitude and high resolution
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Premeiotic 24-nt phasiRNAs are present in the Zea genus and unique in biogenesis mechanism and molecular function Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Junpeng Zhan, Sébastien Bélanger, Scott Lewis, Chong Teng, Madison McGregor, Aleksandra Beric, Michael A. Schon, Michael D. Nodine, Blake C. Meyers
Reproductive phasiRNAs (phased, small interfering RNAs) are broadly present in angiosperms and play crucial roles in sustaining male fertility. While the premeiotic 21-nt (nucleotides) phasiRNAs and meiotic 24-nt phasiRNA pathways have been extensively studied in maize ( Zea mays ) and rice ( Oryza sativa ), a third putative category of reproductive phasiRNAs–named premeiotic 24-nt phasiRNAs–have recently
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Mimicking natural deterrent strategies in plants using adhesive spheres Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Ralph van Zwieten, Thijs V. Bierman, Peter G. L. Klinkhamer, T. Martijn Bezemer, Klaas Vrieling, Thomas E. Kodger
With a continuous increase in world population and food production, chemical pesticide use is growing accordingly, yet unsustainably. As chemical pesticides are harmful to the environment and developmental resistance in pests is increasing, a sustainable and effective pesticide alternative is needed. Inspired by nature, we mimic one defense strategy of plants, glandular trichomes, to shift away from
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Southern Ocean drives multidecadal atmospheric CO 2 rise during Heinrich Stadials Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Kathleen A. Wendt, Christoph Nehrbass-Ahles, Kyle Niezgoda, David Noone, Michael Kalk, Laurie Menviel, Julia Gottschalk, James W. B. Rae, Jochen Schmitt, Hubertus Fischer, Thomas F. Stocker, Juan Muglia, David Ferreira, Shaun A. Marcott, Edward Brook, Christo Buizert
The last glacial period was punctuated by cold intervals in the North Atlantic region that culminated in extensive iceberg discharge events. These cold intervals, known as Heinrich Stadials, are associated with abrupt climate shifts worldwide. Here, we present CO 2 measurements from the West Antarctic Ice Sheet Divide ice core across Heinrich Stadials 2 to 5 at decadal-scale resolution. Our results
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Extreme elevational migration spurred cryptic speciation in giant hummingbirds Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Jessie L. Williamson, Ethan F. Gyllenhaal, Selina M. Bauernfeind, Emil Bautista, Matthew J. Baumann, Chauncey R. Gadek, Peter P. Marra, Natalia Ricote, Thomas Valqui, Francisco Bozinovic, Nadia D. Singh, Christopher C. Witt
The ecoevolutionary drivers of species niche expansion or contraction are critical for biodiversity but challenging to infer. Niche expansion may be promoted by local adaptation or constrained by physiological performance trade-offs. For birds, evolutionary shifts in migratory behavior permit the broadening of the climatic niche by expansion into varied, seasonal environments. Broader niches can be
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The GPAT4 / 6 / 8 clade functions in Arabidopsis root suberization nonredundantly with the GPAT5/7 clade required for suberin lamellae Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Kay Gully, Alice Berhin, Damien De Bellis, Cornelia Herrfurth, Ivo Feussner, Christiane Nawrath
Lipid polymers such as cutin and suberin strengthen the diffusion barrier properties of the cell wall in specific cell types and are essential for water relations, mineral nutrition, and stress protection in plants. Land plant–specific glycerol-3-phosphate acyltransferases (GPATs) of different clades are central players in cutin and suberin monomer biosynthesis. Here, we show that the GPAT4 / 6 / 8
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The 6-kilodalton peptide 1 in plant viruses of the family Potyviridae is a viroporin Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Mengzhu Chai, Lei Li, Yong Li, Yingshuai Yang, Yuting Wang, Xue Jiang, Yameng Luan, Fangfang Li, Hongguang Cui, Aiming Wang, Wensheng Xiang, Xiaoyun Wu, Xiaofei Cheng
Potyviridae, the largest family of plant RNA viruses, includes many important pathogens that significantly reduce the yields of many crops worldwide. In this study, we report that the 6-kilodalton peptide 1 (6K1), one of the least characterized potyviral proteins, is an endoplasmic reticulum–localized protein. AI–assisted structure modeling and biochemical assays suggest that 6K1 forms pentamers with
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Exploring the activation mechanism of metabotropic glutamate receptor 2 Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Xiaohong Zhu, Mengqi Luo, Ke An, Danfeng Shi, Tingjun Hou, Arieh Warshel, Chen Bai
Homomeric dimerization of metabotropic glutamate receptors (mGlus) is essential for the modulation of their functions and represents a promising avenue for the development of novel therapeutic approaches to address central nervous system diseases. Yet, the scarcity of detailed molecular and energetic data on mGlu2 impedes our in-depth comprehension of their activation process. Here, we employ computational
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Crop yields fail to rise in smallholder farming systems in sub-Saharan Africa Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Philip Wollburg, Thomas Bentze, Yuchen Lu, Christopher Udry, Douglas Gollin
Drawing on a harmonized longitudinal dataset covering more than 55,000 smallholder farms in six African countries, we analyze changes in crop productivity from 2008 to 2019. Because smallholder farmers represent a significant fraction of the world’s poorest people, agricultural productivity in this context matters for poverty reduction and for the broader achievement of the UN Sustainable Development
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Inflation in 2022 did not affect congressional voting, but abortion did Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Diana C. Mutz, Edward D. Mansfield
This study examines voting in the 2022 United States congressional elections, contests that were widely expected to produce a sizable defeat for Democratic candidates for largely economic reasons. Based on a representative national probability sample of voters interviewed in both 2020 and 2022, individuals who changed their vote from one party's congressional candidate to another party’s candidate
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The effects of Facebook and Instagram on the 2020 election: A deactivation experiment Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Hunt Allcott, Matthew Gentzkow, Winter Mason, Arjun Wilkins, Pablo Barberá, Taylor Brown, Juan Carlos Cisneros, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Sandra González-Bailón, Andrew M. Guess, Young Mie Kim, David Lazer, Neil Malhotra, Devra Moehler, Sameer Nair-Desai, Houda Nait El Barj, Brendan Nyhan, Ana Carolina Paixao de Queiroz, Jennifer Pan, Jaime Settle, Emily Thorson, Rebekah Tromble
We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. election. We report four key findings. First, both Facebook and Instagram deactivation reduced an index of political participation (driven mainly by reduced participation
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Reduced stress propagation leads to increased mechanical failure resistance in auxetic materials Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Suzanne M. Fielding
Materials with a negative Poisson ratio have the counterintuitive property of expanding laterally when they are stretched longitudinally. They are accordingly termed auxetic, from the Greek auxesis meaning to increase. Experimental studies have demonstrated auxetic materials to have superior material properties, compared with conventional ones. These include synclastic curvature, increased acoustic
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The modern human aryl hydrocarbon receptor is more active when ancestralized by genome editing Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Nelly Helmbrecht, Martin Lackner, Tomislav Maricic, Svante Pääbo
The aryl hydrocarbon receptor (AHR) is a transcription factor that has many functions in mammals. Its best known function is that it binds aromatic hydrocarbons and induces the expression of cytochrome P450 genes, which encode enzymes that metabolize aromatic hydrocarbons and other substrates. All present-day humans carry an amino acid substitution at position 381 in the AHR that occurred after the
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PM 2.5 exposure contributes to anxiety and depression-like behaviors via phenyl-containing compounds interfering with dopamine receptor Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Shaoyang Ji, Yuqiong Guo, Wei Yan, Fang Wei, Jinjian Ding, Wenjun Hong, Xiaoyun Wu, Tingting Ku, Huifeng Yue, Nan Sang
As a global problem, fine particulate matter (PM 2.5 ) really needs local fixes. Considering the increasing epidemiological relevance to anxiety and depression but inconsistent toxicological results, the most important question is to clarify whether and how PM 2.5 causally contributes to these mental disorders and which components are the most dangerous for crucial mitigation in a particular place
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Real-time emulation of future global warming reveals realistic impacts on the phenological response and quality deterioration in rice Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Hironori Itoh, Hiroto Yamashita, Kaede C. Wada, Jun-ichi Yonemaru
Decreased production of crops due to climate change has been predicted scientifically. While climate-resilient crops are necessary to ensure food security and support sustainable agriculture, predicting crop growth under future global warming is challenging. Therefore, we aimed to assess the impact of realistic global warming conditions on rice cultivation. We developed a crop evaluation platform,
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Long-term declines in chlorophyll a and variable phenology revealed by a 60-year estuarine plankton time series Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Patricia S. Thibodeau, Gavino Puggioni, Jacob Strock, David G. Borkman, Tatiana A. Rynearson
Long-term ecological time series provide a unique perspective on the emergent properties of ecosystems. In aquatic systems, phytoplankton form the base of the food web and their biomass, measured as the concentration of the photosynthetic pigment chlorophyll a (chl a ), is an indicator of ecosystem quality. We analyzed temporal trends in chl a from the Long-Term Plankton Time Series in Narragansett
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Extreme shifts in pyrite sulfur isotope compositions reveal the path to bonanza gold Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Duncan F. McLeish, Anthony E. Williams-Jones, James R. Clark, Richard A. Stern
Pyrite is the most common sulfide mineral in hydrothermal ore-forming systems. The ubiquity and abundance of pyrite, combined with its ability to record and preserve a history of fluid evolution in crustal environments, make it an ideal mineral for studying the genesis of hydrothermal ore deposits, including those that host critical metals. However, with the exception of boiling, few studies have been
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Dichotomous transactivation domains contribute to growth inhibitory and promotion functions of TAp73 Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Dan Li, Catherine Yen Li Kok, Chao Wang, Debleena Ray, Susanne Osterburg, Volker Dötsch, Sujoy Ghosh, Kanaga Sabapathy
The transcription factor p73, a member of the p53 tumor-suppressor family, regulates cell death and also supports tumorigenesis, although the mechanistic basis for the dichotomous functions is poorly understood. We report here the identification of an alternate transactivation domain (TAD) located at the extreme carboxyl (C) terminus of TAp73β, a commonly expressed p73 isoform. Mutational disruption
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Solvent constraints for biopolymer folding and evolution in extraterrestrial environments Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Ignacio E. Sánchez, Ezequiel A. Galpern, Diego U. Ferreiro
We propose that spontaneous folding and molecular evolution of biopolymers are two universal aspects that must concur for life to happen. These aspects are fundamentally related to the chemical composition of biopolymers and crucially depend on the solvent in which they are embedded. We show that molecular information theory and energy landscape theory allow us to explore the limits that solvents impose
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Clocking out and letting go to unleash green biotech applications in a photosynthetic host Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Yao Xu, Maria Luísa Jabbur, Tetsuya Mori, Jamey D. Young, Carl Hirschie Johnson
Cyanobacteria are photosynthetic bacteria whose gene expression patterns are globally regulated by their circadian (daily) clocks. Due to their ability to use sunlight as their energy source, they are also attractive hosts for “green” production of pharmaceuticals, renewable fuels, and chemicals. However, despite the application of traditional genetic tools such as the identification of strong promoters
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Targeting the Plasmodium falciparum UCHL3 ubiquitin hydrolase using chemically constrained peptides Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-13 Harry R. King, Mark Bycroft, Thanh-Binh Nguyen, Geoff Kelly, Alexander A. Vinogradov, Pamela J. E. Rowling, Katherine Stott, David B. Ascher, Hiroaki Suga, Laura S. Itzhaki, Katerina Artavanis-Tsakonas
The ubiquitin–proteasome system is essential to all eukaryotes and has been shown to be critical to parasite survival as well, including Plasmodium falciparum , the causative agent of the deadliest form of malarial disease. Despite the central role of the ubiquitin–proteasome pathway to parasite viability across its entire life-cycle, specific inhibitors targeting the individual enzymes mediating ubiquitin
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Lightweight Deep Learning for Resource-Constrained Environments: A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-11 Hou-I Liu, Marco Galindo, Hongxia Xie, Lai-Kuan Wong, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng
Over the past decade, the dominance of deep learning has prevailed across various domains of artificial intelligence, including natural language processing, computer vision, and biomedical signal processing. While there have been remarkable improvements in model accuracy, deploying these models on lightweight devices, such as mobile phones and microcontrollers, is constrained by limited resources.
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Multi-Task Learning in Natural Language Processing: An Overview ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-11 Shijie Chen, Yu Zhang, Qiang Yang
Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. In recent years, Multi-Task Learning (MTL), which can leverage useful information of related tasks to achieve simultaneous performance improvement on these tasks
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A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-11 Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
In the field of Sequential Decision Making (SDM), two paradigms have historically vied for supremacy: Automated Planning (AP) and Reinforcement Learning (RL). In the spirit of reconciliation, this paper reviews AP, RL and hybrid methods (e.g., novel learn to plan techniques) for solving Sequential Decision Processes (SDPs), focusing on their knowledge representation: symbolic, subsymbolic or a combination
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Creativity and Machine Learning: A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-11 Giorgio Franceschelli, Mirco Musolesi
There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative deep learning), and corresponding automatic evaluation methods. After presenting a critical discussion of the key contributions in this area, we outline the current
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A review of explainable fashion compatibility modeling methods ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-11 Karolina Selwon, Julian Szyma?ski
The paper reviews methods used in the fashion compatibility recommendation domain. We select methods based on reproducibility, explainability, and novelty aspects and then organize them chronologically and thematically. We presented general characteristics of publicly available datasets that are related to the fashion compatibility recommendation task. Finally, we analyzed the representation bias of
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Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-09 Anthony Paproki, Olivier Salvado, Clinton Fookes
Deep-learning (DL) performs well in computer-vision and medical-imaging automated decision-making applications. A bottleneck of DL stems from the large amount of labelled data required to train accurate models that generalise well. Data scarcity and imbalance are common problems in imaging applications that can lead DL models towards biased decision making. A solution to this problem is synthetic data
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Natural Language Reasoning, A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-05-09 Fei Yu, Hongbo Zhang, Prayag Tiwari, Benyou Wang
This survey paper proposes a clearer view of natural language reasoning in the field of Natural Language Processing (NLP), both conceptually and practically. Conceptually, we provide a distinct definition for natural language reasoning in NLP, based on both philosophy and NLP scenarios, discuss what types of tasks require reasoning, and introduce a taxonomy of reasoning. Practically, we conduct a comprehensive
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MQL-MM: A Meta-Q-Learning-Based Multi-Objective Metaheuristic for Energy-Efficient Distributed Fuzzy Hybrid Blocking Flow-Shop Scheduling Problem IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-10 Zhongshi Shao, Weishi Shao, Jianrui Chen, Dechang Pi
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Exploratory Landscape Analysis for Mixed-Variable Problems IEEE T. Evolut. Comput. (IF 14.3) Pub Date : 2024-05-10 Raphael Patrick Prager, Heike Trautmann
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Mechanics limits ecological diversity and promotes heterogeneity in confined bacterial communities Proc. Natl. Acad. Sci. U.S.A. (IF 11.1) Pub Date : 2024-05-10 Tianyi Ma, Jeremy Rothschild, Faisal Halabeya, Anton Zilman, Joshua N. Milstein
Multispecies bacterial populations often inhabit confined and densely packed environments where spatial competition determines the ecological diversity of the community. However, the role of mechanical interactions in shaping the ecology is still poorly understood. Here, we study a model system consisting of two populations of nonmotile Escherichia coli bacteria competing within open, monolayer microchannels