Article
Engineering, Industrial
Gayathri Harihara Subramanian, Ashish Verma
Summary: India has a long history of religious gatherings and events, many of which have been marred by crowd crushes and accidents. This study developed a comprehensive crowd risk prediction model, the Crowd Risk Index (CRI), to help predict and manage the level of risk in crowded places.
Article
Multidisciplinary Sciences
Christoph P. E. Zollikofer, Thibault Bienvenu, Yonas Beyene, Gen Suwa, Berhane Asfaw, Tim D. White, Marcia S. Ponce de Leon
Summary: This study focuses on the fossils and artifacts from Herto, Ethiopia, to investigate the evolution of the human brain. The results show that brain size remained stable over the past 200,000 years, but differences in endocranial shape mainly occurred during facial and cranial base growth, possibly related to changes in masticatory and respiratory functions.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Information Systems
Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong
Summary: This paper proposes a novel network called STNet for accurate crowd counting. STNet consists of two key components: Scale-Tree Diversity Enhancer and Multi-level Auxiliator. By enriching scale diversity and exploiting shared characteristics at multiple levels, STNet can significantly improve the accuracy of crowd counting.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Editorial Material
Biochemistry & Molecular Biology
Vera Wiersma, Ruben Rigort, Magdalini Polymenidou
Summary: Liquid-liquid phase separation may regulate the behavior of the protein tau in health and neurodegenerative disease.
Article
Computer Science, Artificial Intelligence
Qi Wang, Junyu Gao, Wei Lin, Xuelong Li
Summary: In the past decade, crowd counting and localization have gained much attention from researchers due to their wide range of applications. The NWPU-Crowd dataset is constructed to address the issue of small-scale datasets, containing a large number of annotated heads with points and boxes. A benchmark website is developed for impartial evaluation of different methods, providing researchers with a platform to submit test results and analyze new challenges in the field.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Biochemical Research Methods
Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini
Summary: The study introduces a hierarchical ensemble method for automated protein function prediction, improving predictions of flat classifiers and competing with the latest hierarchy-aware learning methods.
Article
Computer Science, Information Systems
Lanxiao Wang, Hongliang Li, Wenzhe Hu, Xiaoliang Zhang, Heqian Qiu, Fanman Meng, Qingbo Wu
Summary: Making machines capable of understanding and analyzing crowd scenes is crucial for building a smart city. However, crowd scene understanding captioning has been rarely studied due to a lack of related datasets. To address this gap, we propose the CrowdCaption dataset and a novel method (MAGC) that achieves state-of-the-art performance in generating detailed descriptions of crowd scenes.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Editorial Material
Biochemistry & Molecular Biology
Liam Joseph Holt, Lance T. Denes
Summary: Volume control is a fundamental challenge for cells, and the mechanisms behind it have been a topic of debate. A recent study has found that increased molecular crowding leads to the condensation of WNK kinase, enabling cells to sense and respond to a decrease in cell volume.
Article
Biology
Jose M. Padial, Ignacio De la Riva
Summary: The current trend in species classification sees species as phylogenetic lineages forming the branches of the Tree of Life, with species delimitation based on determining which populations belong to which individual phylogenetic lineage. Challenges include horizontal gene transfer, introgression, and hybridization, which require further methodological development for accurate inferences and testing.
BIOLOGICAL REVIEWS
(2021)
Article
Computer Science, Artificial Intelligence
Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel
Summary: Introduced a new large-scale unconstrained crowd counting dataset and proposed a novel crowd counting network. The dataset contains diverse scenarios and environmental conditions, as well as rich annotations. The proposed network gradually generates crowd density maps through residual learning, guided by a confidence weighting mechanism, and achieves significant improvements.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Microbiology
Zhaobin Huang, Renju Liu, Fenghua Chen, Qiliang Lai, Aharon Oren, Zongze Shao
Summary: In this study, two bacterial strains belonging to the family Zoogloeaceae were isolated from coastal wetland habitats, and a novel species named Nitrogeniibacter aestuarii sp. nov. was proposed based on genomic and phylogenetic analyses. Additionally, four new genera were proposed, providing new insights into the taxonomy of the family Zoogloeaceae.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Benoit Morel, Paul Schade, Sarah Lutteropp, Tom A. Williams, Gergely J. Szollosi, Alexandros Stamatakis
Summary: SpeciesRax is a maximum likelihood method that can infer a rooted species tree from a set of gene family trees and can account for gene duplication, loss, and transfer events. It leverages the phylogenetic rooting signal in gene trees and infers species tree branch lengths and support values through paralogy-aware quartets extracted from the gene family trees. It is faster and at least as accurate as the best competing methods.
MOLECULAR BIOLOGY AND EVOLUTION
(2022)
Article
Multidisciplinary Sciences
Benjamin Philip Crossey, Gray Atherton, Liam Cross
Summary: Research shows that merely imagining coordinated movements with a crowd can increase individuals' affiliation and reduce their sense of uniqueness, leading to a stronger sense of belonging to the group. Imagined coordination may foster prosocial attitudes towards groups through a process of deindividuation.
Article
Plant Sciences
Tianli Wu, Yun Zhong, Min Chen, Bo Wu, Ting Wang, Bo Jiang, Guangyan Zhong
Summary: The study identified 18 CcGASA proteins in Citrus clementina, which shared a conserved GASA domain but varied considerably in primary sequences and motif compositions. The proteins could be classified into three major phylogenetic groups, and are predicted to be involved in defense against biotic and abiotic stresses as well as growth and development. Both segmental and tandem duplications played a role in the expansion of the CcGASA gene family in Citrus, indicating structural and functional divergence among family members.
Article
Computer Science, Information Systems
Jialiang Zhang, Lixiang Lin, Jianke Zhu, Yang Li, Yun-chen Chen, Yao Hu, Steven C. H. Hoi
Summary: The study introduces an attribute-aware pedestrian detector that models people's semantic attributes explicitly and utilizes attribute-feature-based Non-Maximum Suppression to improve pedestrian detection accuracy in dense environments. Additionally, an enhanced ground truth target is designed to alleviate the class imbalance issue during training.
IEEE TRANSACTIONS ON MULTIMEDIA
(2021)
