-
Structural disorder determines capacitance in nanoporous carbons Science (IF 56.9) Pub Date : 2024-04-19 Xinyu Liu, Dongxun Lyu, Céline Merlet, Matthew J. A. Leesmith, Xiao Hua, Zhen Xu, Clare P. Grey, Alexander C. Forse
The difficulty in characterizing the complex structures of nanoporous carbon electrodes has led to a lack of clear design principles with which to improve supercapacitors. Pore size has long been considered the main lever to improve capacitance. However, our evaluation of a large series of commercial nanoporous carbons finds a lack of correlation between pore size and capacitance. Instead, nuclear
-
High energy density in artificial heterostructures through relaxation time modulation Science (IF 56.9) Pub Date : 2024-04-19 Sangmoon Han, Justin S. Kim, Eugene Park, Yuan Meng, Zhihao Xu, Alexandre C. Foucher, Gwan Yeong Jung, Ilpyo Roh, Sangho Lee, Sun Ok Kim, Ji-Yun Moon, Seung-Il Kim, Sanggeun Bae, Xinyuan Zhang, Bo-In Park, Seunghwan Seo, Yimeng Li, Heechang Shin, Kate Reidy, Anh Tuan Hoang, Suresh Sundaram, Phuong Vuong, Chansoo Kim, Junyi Zhao, Jinyeon Hwang, Chuan Wang, Hyungil Choi, Dong-Hwan Kim, Jimin Kwon, Jin-Hong
Electrostatic capacitors are foundational components of advanced electronics and high-power electrical systems owing to their ultrafast charging-discharging capability. Ferroelectric materials offer high maximum polarization, but high remnant polarization has hindered their effective deployment in energy storage applications. Previous methodologies have encountered problems because of the deteriorated
-
First glowing animals lit up the oceans half a billion years ago Nature (IF 64.8) Pub Date : 2024-04-24
Family tree of ‘octocorals’ pushes origin of bioluminescence back to 540 million years ago, when the first animal species developed eyes.
-
Las Boriqueñas remembers the forgotten Puerto Rican women who tested the first pill Nature (IF 64.8) Pub Date : 2024-04-24
Clinical trials of the first oral contraceptive recalled in a bold theatre production.
-
-
Ecologists: don’t lose touch with the joy of fieldwork Nature (IF 64.8) Pub Date : 2024-04-24
Amid the data deluge provided by lab-based techniques, such as environmental-DNA analysis, true connection still comes only in the outdoors.
-
WHO redefines airborne transmission: what does that mean for future pandemics? Nature (IF 64.8) Pub Date : 2024-04-24
The World Health Organization was criticized for being too slow to classify COVID-19 as airborne. Will the new terminology help next time?
-
A chemical method for selective labelling of the key amino acid tryptophan Nature (IF 64.8) Pub Date : 2024-04-24
A technique that accurately identifies tryptophan side chains in proteins helps reveal interactions with positively charged molecules.
-
Monkeypox virus: dangerous strain gains ability to spread through sex, new data suggest Nature (IF 64.8) Pub Date : 2024-04-23
A cluster of mpox cases in the Democratic Republic of the Congo sparks worries of a wider outbreak.
-
AI & robotics briefing: Winged robot demystifies insect flight Nature (IF 64.8) Pub Date : 2024-04-23
Robot fly helps to unravel the workings of the insect wing hinge. Plus, AI traces mysterious metastatic cancers to their source and general rules for AI in publishing are coming.
-
Deep Multimodal Data Fusion ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Fei Zhao, Chengcui Zhang, Baocheng Geng
Multimodal Artificial Intelligence (Multimodal AI), in general, involves various types of data (e.g., images, texts, or data collected from different sensors), feature engineering (e.g., extraction, combination/fusion), and decision-making (e.g., majority vote). As architectures become more and more sophisticated, multimodal neural networks can integrate feature extraction, feature fusion, and decision-making
-
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Jasmina Gajcin, Ivana Dusparic
While AI algorithms have shown remarkable success in various fields, their lack of transparency hinders their application to real-life tasks. Although explanations targeted at non-experts are necessary for user trust and human-AI collaboration, the majority of explanation methods for AI are focused on developers and expert users. Counterfactual explanations are local explanations that offer users advice
-
Financial Sentiment Analysis: Techniques and Applications ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis that has gained increasing attention in the past decade. FSA research falls into two main streams. The first stream focuses on defining tasks and developing techniques for FSA, and its main objective is to improve the performances of various FSA tasks by advancing methods and using/curating human-annotated datasets
-
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Na Li, Rui Zhou, Bharath Krishna, Ashirbad Pradhan, Hyowon Lee, Jiayuan He, Ning Jiang
Muscle fatigue represents a complex physiological and psychological phenomenon that impairs physical performance and increases the risks of injury. It is important to continuously monitor fatigue levels for early detection and management of fatigue. The detection and classification of muscle fatigue also provide important information in human-computer interactions (HMI), sports injuries and performance
-
Deep Learning for Iris Recognition: A Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez
In this survey, we provide a comprehensive review of more than 200 articles, technical reports, and GitHub repositories published over the last 10 years on the recent developments of deep learning techniques for iris recognition, covering broad topics on algorithm designs, open-source tools, open challenges, and emerging research. First, we conduct a comprehensive analysis of deep learning techniques
-
Resilient Machine Learning: Advancement, Barriers, and Opportunities in the Nuclear Industry ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Anita Khadka, Saurav Sthapit, Gregory Epiphaniou, Carsten Maple
The widespread adoption and success of Machine Learning (ML) technologies depend on thorough testing of the resilience and robustness to adversarial attacks. The testing should focus on both the model and the data. It is necessary to build robust and resilient systems to withstand disruptions and remain functional despite the action of adversaries, specifically in the security-sensitive Nuclear Industry
-
Towards Hybrid-Optimization Video Coding ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Shuai Huo, Dong Liu, Haotian Zhang, Li Li, Siwei Ma, Feng Wu, Wen Gao
Video coding that pursues the highest compression efficiency is the art of computing for rate-distortion optimization. The optimization has been approached in different ways, exemplified by two typical frameworks: block-based hybrid video coding and end-to-end learned video coding. The block-based hybrid framework encompasses more and more coding modes that are available at the decoder side; an encoder
-
Contactless Diseases Diagnoses Using Wireless Communication Sensing: Methods and Challenges Survey ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Najah Abed Abu Ali, Mubashir Rehman, Shahid Mumtaz, Muhammad Bilal Khan, Mohammad Hayajneh, Farman Ullah, Raza Ali Shah
Respiratory illness diagnosis and continuous monitoring are becoming popular as sensitive markers of chronic diseases. This interest has motivated the increased development of respiratory illness diagnosis by exploiting wireless communication as a sensing system. Several methods for diagnosing a respiratory illness are based on multiple sensors and techniques. Depending on whether the device embeds
-
Optimizing with Attractor: A Tutorial ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Weiqi Li
This tutorial presents a novel search system—the Attractor-Based Search System (ABSS)—that can solve the Traveling Salesman Problem very efficiently with optimality guarantee. From the perspective of dynamical systems, a heuristic local search algorithm for an NP-complete combinatorial problem is a discrete dynamical system. In a local search system, an attractor drives the search trajectories into
-
Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-24 Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Uichin Lee
Smartphones can unobtrusively capture human behavior and contextual data such as user interaction and mobility. Thus far, smartphone sensor data have primarily been used to gain behavioral insights through correlation analysis. This article provides a tutorial on the causal analysis of human behavior using smartphone sensor data by reviewing well-known matching methods. The key steps of the causal
-
The benefits, risks and bounds of personalizing the alignment of large language models to individuals Nat. Mach. Intell. (IF 23.8) Pub Date : 2024-04-23 Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale
-
India’s 50-year-old Chipko movement is a model for environmental activism Nature (IF 64.8) Pub Date : 2024-04-23
Letter to the Editor
-
The Middle East’s largest hypersaline lake risks turning into an environmental disaster zone Nature (IF 64.8) Pub Date : 2024-04-23
Letter to the Editor
-
Charles Darwin investigates: the curious case of primrose punishment Nature (IF 64.8) Pub Date : 2024-04-23
Snippets from Nature’s past.
-
Chemistry lab destroyed by Taiwan earthquake has physical and mental impacts Nature (IF 64.8) Pub Date : 2024-04-23
Letter to the Editor
-
More work is needed to take on the rural wastewater challenge Nature (IF 64.8) Pub Date : 2024-04-23
Letter to the Editor
-
Any plan to make smoking obsolete is the right step Nature (IF 64.8) Pub Date : 2024-04-23
The United Kingdom is correct to attempt to end the single largest preventable cause of illness and death, as was New Zealand before its government changed its mind.
-
European ruling linking climate change to human rights could be a game changer — here’s how Nature (IF 64.8) Pub Date : 2024-04-23
The European Court of Human Rights’ judgment in a Swiss case cements the concept that climate inaction violates human rights — responsible nations around the world will take heed.
-
Lethal AI weapons are here: how can we control them? Nature (IF 64.8) Pub Date : 2024-04-23
Autonomous weapons guided by artificial intelligence are already in use. Researchers, legal experts and ethicists are struggling with what should be allowed on the battlefield.
-
Star Formation Shut Down by Multiphase Gas Outflow in a Galaxy at a Redshift of 2.45 Nature (IF 64.8) Pub Date : 2024-04-22 Sirio Belli, Minjung Park, Rebecca L. Davies, J. Trevor Mendel, Benjamin D. Johnson, Charlie Conroy, Chloë Benton, Letizia Bugiani, Razieh Emami, Joel Leja, Yijia Li, Gabriel Maheson, Elijah P. Mathews, Rohan P. Naidu, Erica J. Nelson, Sandro Tacchella, Bryan A. Terrazas, Rainer Weinberger
Large-scale outflows driven by supermassive black holes are thought to play a fundamental role in suppressing star formation in massive galaxies. However, direct observational evidence for this hypothesis is still lacking, particularly in the young universe where star formation quenching is remarkably rapid1–3, thus requiring effective removal of gas4 as opposed to slow gas heating5,6. While outflows
-
Dozens of genes are linked to post-traumatic stress disorder Nature (IF 64.8) Pub Date : 2024-04-22
Findings underscore that genetic factors contribute to development of the condition after a traumatic incident.
-
Multimodal cell atlas of the ageing human skeletal muscle Nature (IF 64.8) Pub Date : 2024-04-22 Yiwei Lai, Ignacio Ramírez-Pardo, Joan Isern, Juan An, Eusebio Perdiguero, Antonio L. Serrano, Jinxiu Li, Esther García-Domínguez, Jessica Segalés, Pengcheng Guo, Vera Lukesova, Eva Andrés, Jing Zuo, Yue Yuan, Chuanyu Liu, José Viña, Julio Doménech-Fernández, Mari Carmen Gómez-Cabrera, Yancheng Song, Longqi Liu, Xun Xu, Pura Muñoz-Cánoves, Miguel A. Esteban
-
Your perception of time is skewed by what you see Nature (IF 64.8) Pub Date : 2024-04-22
Features of a scene such as size and clutter can affect the brain’s sense of how much time has passed while observing it.
-
Daily briefing: Great Barrier Reef is experiencing its worst mass bleaching event on record Nature (IF 64.8) Pub Date : 2024-04-22
Iconic coral reef is ‘transforming’ from repeated bleaching events. Plus, researchers face the possibility of animal consciousness and science explores the neurodiversity of visual imagery.
-
How volcanoes shaped our planet — and why we need to be ready for the next big eruption Nature (IF 64.8) Pub Date : 2024-04-22
The world should learn from past disasters and prepare for the effects of future, inevitable volcanic catastrophes, a wide-reaching book teaches us.
-
Daily briefing: why queasiness kills hunger Nature (IF 64.8) Pub Date : 2024-04-19
Feelings of hunger, nausea and fullness seem to be governed by separate brain circuits. Plus, nearly half of China’s major cities are sinking and Jupiter’s moon, Io, is the most volcanically active place in the Solar System.
-
Daily briefing: ‘Goldene’ is a gilded cousin of graphene that is one atom thick Nature (IF 64.8) Pub Date : 2024-04-18
Single-atom-thick sheet of gold is probably the first 2D metal. Plus, some bumblebees can survive up to a week underwater and what crackdowns on smoking and vaping will do for public health.
-
Cross-Modal Hashing Method with Properties of Hamming Space: A New Perspective IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-23 Zhikai Hu, Yiu-ming Cheung, Mengke Li, Weichao Lan
-
One Fits Many: Class Confusion Loss for Versatile Domain Adaptation IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-23 Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, Mingsheng Long
-
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-23 Zhenxing Niu, Yuyao Sun, Qiguang Miao, Rong Jin, Gang Hua
-
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-23 Hongyuan Zhang, Yanan Zhu, Xuelong Li
-
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-23 Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
-
Decentralized Event-Triggered Fault-Tolerant Control for Switched Interconnected Nonlinear Systems with Input Saturation and Time-varying Full-State Constraints IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-23 Yingxue Hou, Yan-Jun Liu, Shaocheng Tong
-
Dangers of speech technology for workplace diversity Nat. Mach. Intell. (IF 23.8) Pub Date : 2024-04-22 Mike Horia Mihail Teodorescu, Mingang K. Geiger, Lily Morse
-
How ground glass might save crops from drought on a Caribbean island Nature (IF 64.8) Pub Date : 2024-04-22
In Grenada, public-health researcher Lindonne Telesford tests a soil additive made from recycled glass that could help farmers adapt to climate change.
-
How to freeze a memory: putting worms on ice stops them forgetting Nature (IF 64.8) Pub Date : 2024-04-22
The model organism Caenorhabditis elegans is quick to forget a notable odour — unless it is chilled or given lithium.
-
Will AI accelerate or delay the race to net-zero emissions? Nature (IF 64.8) Pub Date : 2024-04-22 Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan Lavista Ferres, Eric Horvitz
As artificial intelligence transforms the global economy, researchers need to explore scenarios to assess how it can help, rather than harm, the climate.
-
Mix-Zones as an Effective Privacy Enhancing Technique in Mobile and Vehicular Ad-hoc Networks ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-22 Nirupama Ravi, C. M. Krishna, Israel Koren
Intelligent Transportation Systems (ITS) promise significant increases in throughput and reductions in trip delay. ITS makes extensive use of Connected and Autonomous Vehicles (CAV) frequently broadcasting location, speed, and intention information. However, with such extensive communication comes the risk to privacy. Preserving privacy while still exchanging vehicle state information has been recognized
-
CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-22 Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Yi Fang, Zhizhong Han
-
DeepMesh: Differentiable Iso-Surface Extraction IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-22 Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Pierre Yvernay, Stephan R. Richter, Timur Bagautdinov, Pierre Baque, Pascal Fua
-
Fully Sparse Fusion for 3D Object Detection IEEE Trans. Pattern Anal. Mach. Intell. (IF 23.6) Pub Date : 2024-04-22 Yingyan Li, Lue Fan, Yang Liu, Zehao Huang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
-
EEG-Based Emotion Recognition in Neuromarketing Using Fuzzy Linguistic Summarization IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Ümran Kaya, Diyar Akay, Sevgi Şengül Ayan
-
Event-triggered adaptive fuzzy switching fault-tolerant control of dual-motor steer-by-wire system considering load fluctuation and limited communication bandwidth IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Kunhao Xu, Chunyan Wang, Wanzhong Zhao, Zhongkai Luan, Weihe Liang, Senhao Zhang, Ziyu Zhang
-
Fuzzy Adaptive Fixed-Time Output Feedback Tracking Control for Stochastic Nonlinear Systems With Unmodeled Dynamics IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Ze Ai, Huanqing Wang, Ben Niu, Xudong Zhao
-
$\Upsilon$-values: Power Indices à La Orness for Non-additive Measures IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Vicenç Torra
-
Fixed-Time Fuzzy Vibration Reduction for Stochastic MEMS Gyroscopes with Low Communication Resources IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Yu Xia, Ke Xiao, Yangang Yao, Zhibo Geng, Zsofia Lendek
-
BiFuG2-Spark: Bi-directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator with Granular-Group Collaboration IEEE Trans. Fuzzy Syst. (IF 11.9) Pub Date : 2024-04-22 Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang
-
Qualitative Approaches to Voice UX ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-20 Katie Seaborn, Jacqueline Urakami, Peter Pennefather, Norihisa P. Miyake
Voice is a natural mode of expression offered by modern computer-based systems. Qualitative perspectives on voice-based user experiences (voice UX) offer rich descriptions of complex interactions that numbers alone cannot fully represent. We conducted a systematic review of the literature on qualitative approaches to voice UX, capturing the nature of this body of work in a systematic map and offering
-
Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-20 James Halvorsen, Clemente Izurieta, Haipeng Cai, Assefaw H. Gebremedhin
Intrusion Detection Systems (IDSs) are an essential element of modern cyber defense, alerting users to when and where cyber-attacks occur. Machine learning can enable IDSs to further distinguish between benign and malicious behaviors, but it comes with several challenges, including lack of quality training data and high false positive rates. Generative Machine Learning Models (GMLMs) can help overcome
-
A Survey on Resilience in Information Sharing on Networks: Taxonomy and Applied Techniques ACM Comput. Surv. (IF 16.6) Pub Date : 2024-04-20 Agnaldo de Souza Batista, Aldri L. dos Santos
Information sharing is vital in any communication network environment to enable network operating services take decisions based on the information collected by several deployed computing devices. The various networks that compose cyberspace, as Internet-of-Things (IoT) ecosystems, have significantly increased the need to constantly share information, which is often subject to disturbances. In this