Article
Computer Science, Artificial Intelligence
Maxwell J. Yin, Boyu Wang, Charles Ling
Summary: In the era of rapid paper publications, automatic citation recommendations are highly useful. Previous methods were time-consuming and lacked diversity in recommendations, but our model achieves faster and more diverse recommendations by mapping citation contexts and cited papers to the same vector space and utilizing a multi-group contrastive learning method.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, Yannis Vassiliou
Summary: With the increasing rate of scientific publications, there is a need to discern high-impact publications; various methods have been used to rank publications based on expected citation-based impact; the research area has not been systematically studied and evaluation methods vary.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck, Ludo Waltman
Summary: The field of science mapping has shown the potential of citation-based clusters in literature analysis, but their application in information retrieval tasks is limited. This study assessed the performance of citation-based clusters in information retrieval tasks. A simulated search process with a tree hierarchy of clusters and a cluster selection algorithm was used. The evaluation focused on finding relevant documents for 25 systematic reviews, considering trade-offs between recall and precision for cluster selection. Results showed that the search performance of citation-based clusters is highly variable and unpredictable. Clusters work best for users who prioritize recall over precision at a ratio between 2 and 8, and they can complement query-based search by finding additional relevant documents.
Article
Computer Science, Artificial Intelligence
Domenico Amato, Giosue Lo Bosco, Raffaele Giancarlo
Summary: The new field of Learned Data Structures combines Machine Learning techniques with Data Structures to improve their performance. The shift towards using graphics/tensor units in computer architectures is driving this field. Neural Networks are proposed as the fundamental units of Classic Data Structures, such as Learned Bloom Filters. This paper investigates the use of Neural Networks in Learned Indexes and highlights the need for specialized Neural Networks customized for Learned Indexes.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Mahdi Jafari Siavoshani, Seyed Pooya Shariatpanahi, Mohammad Ali Maddah-Ali
Summary: This study explores the issue of private information retrieval, where a user with private side information aims to retrieve multiple files from servers. Results indicate that in certain scenarios, the minimum load imposed by servers is equivalent to the capacity of a problem without PSI.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Zoran Medic, Jan Snajder
Summary: The study demonstrates the impact of three important design choices in building local citation recommendation systems: parameters of prefiltering models, training regime, and negative sampling strategy. Optimizing these choices can significantly improve the system's performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jorg Kliewer
Summary: Private computation is a generalization of the private information retrieval (PIR) problem, where a user wishes to compute a function of messages stored in coded databases without revealing any information. This paper focuses on the problem of private linear computation (PLC) in a distributed storage system using linear storage codes. An outer bound on the PLC rate is derived, and a matching PLC scheme is presented for a specific class of linear storage codes.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Hongmi Lee, Janice Chen
Summary: This study reveals the importance of the semantic and causal interconnectedness of events within a network for memory performance and neural responses associated with memory encoding and recall.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jialiang Lin, Yao Yu, Jiaxin Song, Xiaodong Shi
Summary: Proper citation is crucial for academic writing to accumulate knowledge and maintain academic integrity. This study proposes a method called Citation Recommendation for Published Scientific Entity (CRPSE), which utilizes cooccurrences between published scientific entities and in-text citations from previous researchers to effectively recommend source papers. A statistical analysis of missing citations in prestigious computer science conferences in 2020 reveals that 475 published scientific entities in computer science and mathematics lack proper citations. It is found that many entities mentioned without citations are well-accepted research results.
Article
Business
Fang Da, Gang Kou, Yi Peng
Summary: This paper proposes a deep-learning-based dual encoder retrieval model for improving the performance of citation recommendation. It encodes the input query and paper titles into semantic vectors, matches them to compute similarity scores, and generates a sorted list of documents.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Engineering, Electrical & Electronic
Hyowoon Seo, Hojung Lee, Wan Choi
Summary: This paper investigates the fundamental limits of private information retrieval (PIR) with unknown cache prefetching and proposes a novel random linear combination (RLC)-based PIR scheme to solve the basic PIR problem. By exploring PIR with unknown cache prefetching (PIRC) at different cache-to-file size ratios, it is shown that the RLC-based PIRC method can reduce download costs in retrieving desired information. The achievable normalized download cost bound of PIRC derived from the proposed RLC-based PIRC outperforms existing bounds in literature, as verified by numerical results in a case study.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Review
Mathematical & Computational Biology
Akash Pallath, Qiyang Zhang
Summary: Systematic reviews are crucial for researchers to understand trends and assess evidence in a field. Manual searching, a supplementary technique, is time-consuming and prone to errors. To address this, researchers have developed Paperfetcher to automate the retrieval of article metadata for handsearching.
RESEARCH SYNTHESIS METHODS
(2023)
Article
Education & Educational Research
Amedee Marchand Martella, Jane Kinkus Yatcilla, Ronald C. Martella, Nancy E. Marchand-Martella, Zafer Ozen, Tugce Karatas, Helen H. Park, Alexandra Simpson, Jeffrey D. Karpicke
Summary: When previous research is cited incorrectly, misinformation can infiltrate scientific discourse and undermine scholarly knowledge. One field where quotation accuracy is needed is in the learning sciences given its impact on pedagogy. The most prevalent supported category related to active learning being more effective than lecture.
REVIEW OF EDUCATIONAL RESEARCH
(2021)
Article
Mathematical & Computational Biology
Shijun Zhang, Hengyi Wu, Lei Wang, Gongbo Zhang, Luis M. Rocha, Hagit Shatkay, Lang Li
Summary: This study developed a new drug-drug interaction (DDI) corpus to improve the quality of text mining. The corpus was annotated along eight dimensions, including study type, interaction type, and mechanism. After two rounds of annotations, the agreement improved from 0.79 to 0.93, and from 0.83 to 0.96 for novice-level annotators. This annotated corpus is now available for the community.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2022)
Article
Computer Science, Information Systems
Sakshi Parashar, Namita Mittal, Parth Mehta
Summary: Unlike western courts, the legal documents of the Indian judiciary are unstructured, verbose, and noisy. Retrieving relevant statutes is useful for lawyers and the general public. This paper proposes a ranking algorithm called CASRank to identify relevant statutes for legal case queries. A new dataset of 858 Central Acts enacted by the Indian Parliament is also developed and annotated. The experimental results show a significant increase in retrieval efficiency.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Environmental Sciences
Petr Heneberg, Jakub Svoboda, Pavel Pech
Summary: Azole fungicides, widely used in agriculture, have been found to disrupt the fecundity of ant queens during the claustral colony founding stage. This suggests that ant queens are highly vulnerable to the effects of azole fungicides when establishing colonies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Parasitology
Petr Heneberg, Jilji Sitko
Summary: The study reveals the complexity of species within the Tylodelphys genus through molecular phylogenetic analysis and identifies a previously unknown species complex, providing new insights into the classification of Tylodelphys excavata.
PARASITOLOGY RESEARCH
(2021)
Article
Multidisciplinary Sciences
Milan Rezac, Nela Glorikova, Shawn M. Wilder, Petr Heneberg
Summary: The study found that while spider behavior was affected by exposure to neonicotinoid insecticides, their lipid and protein reserves were not impacted, and dietary treatments did not show any synergy with acute exposure to neonicotinoid insecticides.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Petr Heneberg, Petr Bogusch, Alena Astapenkova, Milan Rezac
Summary: Through studying the effects of toxic elements on aculeate inquilines that occupy Lipara lucens-induced galls on the common reed, it was found that the concentration of toxic elements does not affect the diversity and abundance of aculeate hymenopterans associated with the reed galls.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agriculture, Dairy & Animal Science
Tianle Xu, Run Liu, Xubin Lu, Xinyue Wu, Petr Heneberg, Yongjiang Mao, Qianming Jiang, Juan Loor, Zhangping Yang
Summary: This study investigated the effects of Lycium barbarum polysaccharides (LBP) on proinflammatory responses in lipopolysaccharide (LPS)-stimulated primary bovine mammary epithelial cells. The results showed that LBP reduced the expression of proinflammatory factors and cytokines induced by LPS stimulation, inhibited the NF-kappa B and MAPK pathways, and activated peroxisome proliferator-activated receptor-gamma (PPAR gamma). LBP also reversed the negative effect of LPS on cell proliferation. The protective effect of LBP on LPS-induced inflammation was found to be dependent on PPAR gamma activation.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Petr Heneberg
Summary: Lactic acidosis plays a significant role in cancer by stimulating tumor invasion and metastasis. The understanding of lactate has shifted from it being considered a waste product to a nutrient exchanged between tumors and the microenvironment. Targeting tissue-specific lactic acidosis can improve the host's defense against cancer and allows for the targeting of anticancer compounds. However, systemic lactic acidosis usually has poor treatment outcomes in patients with solid cancer.
ANTIOXIDANTS & REDOX SIGNALING
(2022)
Article
Parasitology
Petr Heneberg, Maria Casero
Summary: This study investigated the infection of Philophthalmus spp. in two species of gulls in southern Portugal and tested three different treatment regimens. The results showed that none of the treatments were effective in treating the infected gulls.
PARASITES & VECTORS
(2022)
Article
Multidisciplinary Sciences
Milan Rezac, Steven Tessler, Petr Heneberg, Ivalu Macarena avila Herrera, Nela Glorikova, Martin Forman, Veronika Rezacova, Jiri Kral
Summary: The mygalomorph spider Atypus snetsingeri found in Pennsylvania is genetically identical to Atypus karschi in East Asia, suggesting that it is an introduced species. The study also revealed new cytogenetic information about this spider, including its X0 sex chromosome system and the presence of nucleolus organizing regions and heterochromatin. The spider is found in various habitats in Pennsylvania and preys on a variety of organisms.
Article
Environmental Sciences
Veronika Rezacova, Tereza Michalova, Milan Rezac, Milan Gryndler, Eric B. Duell, Gail W. T. Wilson, Petr Heneberg
Summary: This study revealed a simplification and dominance of soil- and root-associated AMF assemblages in the exotic ranges of invasive plant species. Alien plant invasions were not limited to soils with low AMF diversity, as both native and invaded soils hosted diverse AMF assemblages.
ENVIRONMENTAL MICROBIOLOGY REPORTS
(2022)
Review
Evolutionary Biology
Jakub Sykora, Miroslav Bartak, Petr Heneberg, Stanislav Korenko
Summary: Parasitoid insects associated with spiders have evolved unique life strategies, such as indirect oviposition, to avoid contact with spider hosts. However, the low larval survival rate is a disadvantage of this strategy.
BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
(2022)
Article
Environmental Sciences
Petr Heneberg, Petr Bogusch
Summary: Azole fungicides have an impact on the pupation and metamorphosis of crabronid wasps, but do not affect their survival rate. Further research is needed to study the combined effects of azole fungicides and other agrochemicals on the metamorphosis timing of bees and wasps.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Entomology
Petr Bogusch, Petra Houfkova Maresova, Alena Astapenkova, Petr Heneberg
Summary: This study provides information on the nest structure and parasitic species of Pseudoanthidium nanum and Pseudoanthidium tenellum. P. nanum is widespread in xerothermic open habitats, while P. tenellum is rare and found in terrestrial reed beds and wet meadows. These two species have similar nest structures but differ in their pollen collection.
JOURNAL OF HYMENOPTERA RESEARCH
(2022)
Article
Biodiversity Conservation
Petr Bogusch, Petr Heneberg
Summary: The galls induced by Lipara lucens on common reed serve as nesting cavities for bees and wasps, but they are mainly found in wetlands. A manipulative study in the Czech Republic revealed that bees and wasps in xerothermic habitats have difficulty finding the gall opening, resulting in fewer nesting individuals compared to wetland habitats.
JOURNAL OF INSECT CONSERVATION
(2022)
Article
Multidisciplinary Sciences
Milan Rezac, Gabriela Pribanova, Nela Glorikova, Petr Heneberg
Summary: Exposure to broad spectrum neonicotinoids temporarily suppresses locomotion in epigeic spiders, including traveled distance and velocity. Different concentrations of these insecticides have multiple adverse effects on the locomotory parameters of spiders.
SCIENTIFIC REPORTS
(2022)
Article
Ecology
Petr Heneberg, Petr Bogusch, Martin Schwarz, Petr Jansta, Kamil Holy, Milan Rezac, Alena Astapenkova
Summary: This study investigates the occupancy of trap nests made from different plant stems in Central Europe. The results show that reed stalk trap nests attract a more abundant assemblage of Aculeata compared to goldenrod stem trap nests. However, there is overlapping in the species nesting in both types of trap nests. Furthermore, the abundance and diversity of trap-nesting bees and wasps in natural habitats are similar to those in anthropogenic habitats.
ECOLOGICAL ENGINEERING
(2022)
