Article
Computer Science, Artificial Intelligence
Moreno La Quatra, Luca Cagliero
Summary: This paper presents a method for extracting short sentence annotations from scientific papers using transformer models and attention mechanisms. The method utilizes an end-to-end trained deep regression model and achieves significant performance improvements on three benchmark datasets.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yaxue Ma, Tingting Li, Jin Mao, Zhichao Ba, Gang Li
Summary: This study explores the possibility of identifying widely disseminated papers on social media using machine learning methods and investigates the influence mechanisms of literature-related and social media-related features. The results show that XGBoost algorithm performs better in predicting task, and literature-related features have significant effects on identifying long-term disseminated papers, while social media-related features play important roles in identifying broadly mentioned papers.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Engineering, Biomedical
Farid Rahimi, Amin Talebi Bezmin Abadi
Summary: ChatGPT jeopardizes the integrity and validity of academic publications rather than ethically facilitating them. There is a lack of clear guidance on how to handle manuscripts that credit ChatGPT, and revised publishing policies are required to address this issue.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Review
Green & Sustainable Science & Technology
Christian Spreafico, Davide Russo
Summary: This review provides an overview of the efforts made by academia and industry over the years to enhance the sustainability of cheese packaging. Analysis of a large pool of scientific papers and patents reveals that improving cheese shelf life and using biodegradable packaging are the predominant strategies currently being pursued.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
John P. Sumpter, Tamsin J. Runnalls, Andrew C. Johnson, Damia Barcelo
Summary: It is uncommon for scientists to acknowledge the limitations of their research because of the pressure to publish. This has resulted in a crisis of reproducibility in published research. To address this, including a 'Limitations' section in scientific papers is suggested, as it promotes honesty and transparency. This recommendation applies to all scientific disciplines.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biology
Alejandro Martinez, Stefano Mammola
Summary: This study investigates the relationship between the use of jargon and the number of citations, finding a significant negative correlation between the proportion of jargon words in the title and abstract and the paper's citation count. The researchers recommend limiting jargon usage to sections where it is unavoidable to increase the accessibility and impact of scientific research.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Computer Science, Information Systems
Songhee Kim, Suyeong Lee, Byungun Yoon
Summary: This study proposes an embedding methodology that utilizes important content from scientific and technical documents, combining both textual and structural data for clustering analysis. By applying this method to paper data in the field of hydrogen cell vehicles, the clustering results can effectively identify gaps and trends in technology development, as well as provide directional information for future technology development.
Article
Computer Science, Artificial Intelligence
Xiang Shi, Yinpeng Liu, Jiawei Liu, Qikai Cheng, Wei Lu
Summary: Scientific papers are crucial for academic communication, but many of them lack in-depth research and present core content ambiguously, hindering the progression of science and technology. To address this challenge, the INTEGrity vERification (INTEGER) task is introduced to help researchers assess the integrity of their papers and verify the clarity of each knowledge unit. A multi-task learning model utilizing Tucker decomposition and span-level attention mechanism is proposed to accurately identify terms and their integrity. Experimental results show the effectiveness of the model.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yurij L. Katchanov, Yulia Markova, Natalia A. Shmatko
Summary: This paper presents a thorough study of uncited papers by exploring the documents indexed in the INSPIRE database from 1970 to 2015. The structure of citations and references in uncited articles plays a role in the redistribution of scientific impact. The paper quantifies the detailed structure of citations and references in terms of quantiles and studies the entropy and statistical complexity measure of these citations and references.
JOURNAL OF INFORMETRICS
(2023)
Article
Computer Science, Artificial Intelligence
Jintao Zhao, Libin Yang, Xiaoyan Cai
Summary: Scientific paper summarization faces challenges in learning inter-sentence relations and utilizing structural information. To address these challenges, we propose a extractive summarization model based on heterogeneous tree structure, which incorporates a global perspective and iterative updating strategy to improve summarization performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Beatrice Milard, Yoann Pitarch
Summary: Using bibliometric data, interviews with researchers, and social network analysis, this article proposes a typology based on egocentric cocitation networks that displays a quadruple structuring: polarization, clusterization, atomization, and attrition. The study shows that the academic capital of authors, intellectual resources of their research, and social relations between the authors play key roles in shaping the destiny of scientific papers. The publishing circumstances are also correlated with the structuring of the egocentric cocitation networks, highlighting their social embeddedness. The article discusses the contribution of these original networks to the analysis of scientific production and its dynamics.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Yu Geng, Renmeng Cao, Xiaopu Han, Wencan Tian, Guangyao Zhang, Xianwen Wang
Summary: This study analyzes publication downloads from Sci-Hub to understand scientists' activity patterns. The findings show that Sci-Hub is more frequently used than copyrighted platforms when scientists are working overtime. The study also reveals variations in working patterns and preferences among scientists from different countries.
Article
Computer Science, Artificial Intelligence
Zhenfang Zhu, Shuai Gong, Jiangtao Qi, Chunling Tong
Summary: Many current summarization models based on Transformer architectures fail to fully utilize the hierarchical structure of text, which is crucial in understanding long documents such as scientific papers. To address this issue, researchers propose a novel extractive summarization model for scientific papers called HTPosum, which leverages a heterogeneous tree structure and triplet positions to capture the structural information of documents. Experimental results show that HTPosum outperforms the latest scientific paper summarization models on PubMed and arXiv datasets.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Business
Xin Li, Yang Wen, Jiaojiao Jiang, Tugrul Daim, Lucheng Huang
Summary: This paper proposes a framework for identifying potential breakthrough research using machine learning methods and Twitter data, with solar cells as a case study. The study contributes to the discovery of potential breakthrough research and the understanding of the emergence and development of breakthrough research, providing valuable information for scientists, policy makers, and R&D experts.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Muhammad Umer, Saima Sadiq, Malik Muhammad Saad Missen, Zahid Hameed, Zahid Aslam, Muhammad Abubakar Siddique, Michele Nappi
Summary: Ascertaining the impact of research is significant for the research community and academia, with sentiment analysis of citations helping to understand peer opinions and improve research quality assessment accuracy.
PATTERN RECOGNITION LETTERS
(2021)
Article
Oncology
Diego de Miguel-Perez, Edward M. Pickering, Umberto Malapelle, William Grier, Francesco Pepe, Pasquale Pisapia, Gianluca Russo, Joseph A. Pinto, Alessandro Russo, Giancarlo Troncone, Melissa J. Culligan, Katherine A. Scilla, Ranee Mehra, Pranshu Mohindra, Oscar Arrieta, Andres F. Cardona, Marzia Del Re, Ashutosh Sachdeva, Fred R. Hirsch, Andrea Wolf, Joseph S. Friedberg, Christian Rolfo
Summary: In this study, genetic alterations in resectable pleural mesothelioma tissues and blood samples were analyzed, and it was found that high tissue tumor mutational burden, tissue median minor allele frequency, blood tumor mutational burden, and specific mutations were correlated with outcomes in patients with resected PM. These findings suggest that molecular profiling could help identify longer survivors in patients with resected PM.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Davide Melisi, Camilla Zecchetto, Valeria Merz, Giuseppe Malleo, Luca Landoni, Alberto Quinzii, Simona Casalino, Federica Fazzini, Marina Gaule, Camilla Pesoni, Luca Casetti, Alessandro Esposito, Giovanni Marchegiani, Cristiana Piazzola, Mirko D'Onofrio, Riccardo de Robertis, Armando Gabbrielli, Laura Bernardoni, Stefano F. Crino, Silvia Pietrobono, Claudio Luchini, Camillo Aliberti, Guido Martignoni, Stefano Milleri, Giovanni Butturini, Aldo Scarpa, Roberto Salvia, Claudio Bassi
Summary: This study evaluated the safety and activity of liposomal irinotecan in the perioperative treatment of resectable pancreatic ductal adenocarcinoma (rPDAC) patients. The results showed that NALIRIFOX has manageable and active outcomes, and should be further investigated in randomized trials comparing it to standard upfront surgery followed by adjuvant therapy.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Eric Jonasch, Todd M. Bauer, Kyriakos P. Papadopoulos, Elizabeth R. Plimack, Jaime R. Merchan, David F. Mcdermott, M. Dror Michaelson, Leonard J. Appleman, Ananya Roy, Rodolfo F. Perini, Yanfang Liu, Toni K. Choueiri
Summary: After a median follow-up of 41.2 months, belzutifan monotherapy demonstrated durable antitumor activity in patients with advanced ccRCC and acceptable safety.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Patricia A. H. Hamers, Geraldine R. Vink, Marloes A. G. Elferink, Leon M. G. Moons, Cornelis J. A. Punt, Anne M. May, Miriam Koopman
Summary: Screen-detection of the primary tumor is associated with longer overall survival after metachronous metastasis.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Camilla Nero, Nicolo Bizzarri, Stefano Di Berardino, Francesca Sillano, Giuseppe Vizzielli, Francesco Cosentino, Virginia Vargiu, Pierandrea De Iaco, Anna Myriam Perrone, Enrico Vizza, Benito Chiofalo, Stefano Uccella, Fabio Ghezzi, Luigi Carlo Turco, Giacomo Corrado, Diana Giannarelli, Tina Pasciuto, Gian Franco Zannoni, Anna Fagotti, Giovanni Scambia
Summary: This study evaluates the sensitivity and specificity of sentinel-lymph-node mapping compared to systematic lymphadenectomy in detecting lymph node metastasis in early stage ovarian cancer. The results show that sentinel-lymph-node mapping did not reach the expected sensitivity, but ultra-staging protocol improved the accuracy of diagnosis for patients.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Adriana Hepner, Judith M. Versluis, Roslyn Wallace, Clara Allayous, Lauren Julia Brown, Claudia Trojanielloh, Camille Lea Gerardi, Yanina J. L. Jansenj, Prachi Bhave, Bart Neyns, Andrew Haydon, Olivier Michielin, Joanna Manganan Oliver Klein, Alexander N. Shoushtari, Allison Betof Warner, Paolo Antonio Ascierto, Jennifer Leigh McQuade, Matteo S. Carlino, Lisa Zimmer, Celeste Lebbe, Douglas B. Johnson, Shahneen Sandhu, Victoria Atkinson, Christian U. Blank, Serigne N. Lo, Georgina V. Long, Alexander M. Menzies
Summary: Acquired resistance to PD-1 therapy in melanoma is mainly oligometastatic, and patients may have a favorable survival outcome following salvage treatment.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Savannah Roy, Stephanie Lakritz, Anna R. Schreiber, Elizabeth Molina Kuna, Cathy J. Bradley, Lavanya Kondapalli, Jennifer R. Diamond
Summary: This study evaluates major adverse cardiovascular events (MACE) in older women with TNBC treated with anthracycline and taxane-based chemotherapy (ATAX) compared to taxane-based chemotherapy (TAX). The results show that ATAX does not increase the risk of MACE and there is no difference in survival between patients who received TAX and ATAX.
EUROPEAN JOURNAL OF CANCER
(2024)
Letter
Oncology
Pei-Chun Weng, Yau-Li Huang, Chun-Yu Cheng
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Philipp Jansen, Jean Le 'Clerc Arrastia, Daniel Otero Baguer, Maximilian Schmidt, Jennifer Landsberg, Joerg Wenzel, Michael Emberger, Dirk Schadendorf, Eva Hadaschik, Peter Maass, Klaus Georg Griewank
Summary: This study highlights the enormous potential of artificial intelligence in pathology, showing that it can aid in the identification of rare cutaneous adnexal tumors and potentially become a standard tool in routine diagnostics.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Casper W. F. van Eijck, Gaby Strijk, Eveline E. Vietscha, Fleur van der Sijde, Maaike Verheij, Dana A. M. Mustafa, Madelief Vinkc, Joachim G. J. V. Aerts, Casper H. J. van Eijck, Marcella Willemsen
Summary: The study reveals that FOLFIRINOX has immunomodulatory effects, suggesting its potential in immune-based combination therapies for pancreatic cancer. Additionally, certain plasma proteins hold promise as circulating predictive biomarkers for early prediction of FOLFIRINOX response in patients with pancreatic cancer.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Marwan Fakih, Chongkai Wang, Jaideep Sandhu, Jian Ye, Colt Egelston, Xiaochen Li
Summary: This study explores the impact of metastatic sites on treatment outcomes for chemotherapy-refractory colorectal cancer patients. It found that patients with liver or peritoneal metastases had poor treatment outcomes, while those with lung-only metastases showed significant response. The presence of concurrent lymph node or other extrahepatic metastatic disease diminished treatment response in patients with lung metastases. Future checkpoint inhibitor trials should stratify patients based on metastatic locations.
EUROPEAN JOURNAL OF CANCER
(2024)
Article
Oncology
Georgios Christos Tsiatsianis, Candace S. Y. Chan, Ioannis Mouratidis, Nikol Chantzi, Anna Maria Tsiatsiani, Nelson S. Yee, Apostolos Zaravinos, Verena Kantere, Ilias Georgakopoulos-Soares
Summary: The study reveals that nullpeptides can serve as biomarkers for cancer detection and treatment, particularly in highly recurrent cancer patients. These nullpeptides primarily occur in highly expressed genes, particularly in specific loci of oncogenes and tumor suppressors. Recurrent nullpeptides are more likely to be found in neoantigens, which play a significant role in immunotherapy.
EUROPEAN JOURNAL OF CANCER
(2024)