Review
Biochemistry & Molecular Biology
Johanna Rueter, Gerald Rimbach, Patricia Huebbe
Summary: This article provides an overview of the potential novel functions of human APOE, in addition to its role in lipid metabolism. It is involved in transcriptional regulation, mitochondrial metabolism, immune response, and shows interactions with other proteins, indicating new metabolic pathways.
CELLULAR AND MOLECULAR LIFE SCIENCES
(2022)
Article
Astronomy & Astrophysics
L. Jiang, A. M. Ankowski, D. Abrams, L. Gu, B. Aljawrneh, S. Alsalmi, J. Bane, A. Batz, S. Barcus, M. Barroso, V. Bellini, O. Benhar, J. Bericic, D. Biswas, A. Camsonne, J. Castellanos, J. -P. Chen, M. E. Christy, K. Craycraft, R. Cruz-Torres, H. Dai, D. Day, A. Dirican, S. -C. Dusa, E. Fuchey, T. Gautam, C. Giusti, J. Gomez, C. Gu, T. J. Hague, J. -O. Hansen, F. Hauenstein, D. W. Higinbotham, C. Hyde, Z. Jerzyk, C. Keppel, S. Li, R. Lindgren, H. Liu, C. Mariani, R. E. McClellan, D. Meekins, R. Michaels, M. Mihovilovic, M. Murphy, D. Nguyen, M. Nycz, L. Ou, B. Pandey, V. Pandey, K. Park, G. Perera, A. J. R. Puckett, S. N. Santiesteban, S. Sirca, T. Su, L. Tang, Y. Tian, N. Ton, B. Wojtsekhowski, S. Wood, Z. Ye, J. Zhang
Summary: The E12-14-012 experiment conducted at Jefferson Lab Hall A measured the (e,e'p) cross section in parallel kinematics using a natural argon target. The analysis of the data set corresponding to a beam energy of 2.222 GeV is reported here, covering a range of missing momentum and missing energy. The agreement between the experimental data and Monte Carlo simulations, which included the effects of final state interactions, was found to be satisfactory. The resulting spectral function will be valuable for interpreting neutrino interactions in liquid argon detectors.
Review
Engineering, Chemical
Vishakha Kaim, Jukka Rintala, Chao He
Summary: The increasing generation of e-waste poses a significant risk of REEs pollution if not properly disposed of. However, e-waste could be a secondary source for critical REEs mining. This review focuses on the selective recovery of REEs from e-waste using IL extraction as a sustainable alternative to traditional solvents. The use of ILs shows promising results in terms of extractability and selectivity, although further research is needed for real e-waste extraction efficiency and recovery rate.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
David Charte, Francisco Charte, Francisco Herrera
Summary: This paper proposes an autoencoder-based approach to complexity reduction, using class labels to generate more suitable variables. Experimental results show that class-informed autoencoders perform better than other unsupervised feature extraction techniques, especially in classification tasks.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Multidisciplinary Sciences
Elisabeth Barsch, Kerstin Kowarik, Katharina Rodler, Christoph Hoerweg, Hans Reschreiter, Helmut Sattmann, Julia Walochnik
Summary: By analyzing human feces preserved in the prehistoric salt mines of Hallstatt, Austria, researchers found eggs of soil-transmitted helminths (STH), namely Trichuris and/or Ascaris, in approximately 91% of the coprolite samples. DNA extraction from the ancient fecal samples was successful, and mitochondrial gene sequences of the Ascaris lumbricoides species complex were obtained. This study provides the first molecular data of Ascaris from the Bronze Age period.
SCIENTIFIC REPORTS
(2023)
Review
Engineering, Multidisciplinary
Harshwardhan Praveen, Nicolas Boulle, Christopher Earls
Summary: We propose a data-driven approach to mathematically model unknown physical systems using the learned Green's function. Two methods are presented to learn the Green's function, one using the proper orthogonal decomposition (POD) modes and the other using a generalization of the randomized singular value decomposition (SVD). A manifold interpolation scheme is then proposed to uncover suitable eigenmodes at unseen model parameters. The approximation and interpolation techniques are demonstrated on examples in one and two dimensions.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Nanoscience & Nanotechnology
Mao Wang, Jianwen Jiang
Summary: In this study, a data-driven approach was used to accelerate the discovery of high-FFV polymers. The study developed computational methods and fragmentation techniques to create a digital representation of polymer structures, and employed data mining and machine learning models to identify and screen high-FFV polymers. Molecular simulations were used to validate high-FFV polymers, and an online platform for FFV prediction was developed.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Multidisciplinary Sciences
Zhiwei Zhou, Mingdu Luo, Haosong Zhang, Yandong Yin, Yuping Cai, Zheng-Jiang Zhu
Summary: Liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics is a powerful tool for studying both known and unknown metabolites. However, annotating unknown metabolites remains a challenge. In this study, a knowledge-guided multi-layer network (KGMN) approach is developed to achieve global metabolite annotation from knowns to unknowns. The KGMN approach integrates three-layer networks and has been successfully applied to annotate putative unknowns in in vitro enzymatic reaction systems and different biological samples. This method enables efficient unknown annotations and advances the discovery of recurrent unknown metabolites.
NATURE COMMUNICATIONS
(2022)
Article
Physics, Multidisciplinary
Zheng-Yang Li, Yan-Qing Ma, Jian-Wei Qiu
Summary: This study introduces complete next-to-next-to-leading-order coefficient functions to match flavor nonsinglct quark correlation functions in position space to parton distribution functions (PDFs), making predictions for valence-quark correlation functions. By performing Fourier transformation, matching coefficients for corresponding quasi-PDFs and pseudo-PDFs are obtained. The calculations can be generalized to evaluate matching coefficients for sea-quark and gluon correlation functions.
PHYSICAL REVIEW LETTERS
(2021)
Article
Engineering, Chemical
Panduka S. Piyaratne, Regan LeBlanc, Angela D. Myracle, Barbara J. W. Cole, Raymond C. Fort
Summary: This study presents a method for extracting (E)-resveratrol from conifer bark with high yield and purity. The results show that black spruce and Norway spruce bark contain comparable amounts of (E)-resveratrol to Japanese knotweed. The study also investigates the relationship between (E)-resveratrol content and total phenolic content in the bark of different conifer species.
Article
Geography
Jiayi Wang, Yu Cao, Xiaoqian Fang, Guoyu Li
Summary: Farmland fragmentation, both in terms of landscape and tenure conditions, has a significant impact on farmland abandonment in China. This study distinguishes the effects of farmland tenure fragmentation (FTF) and farmland landscape fragmentation (FLF) on abandonment rates. The findings show that increasing plot area and reducing FLF can help reduce farmland abandonment. Additionally, farmland transfer plays a crucial role in mitigating the effects of FTF on abandonment. These findings have important implications for decision-makers to ensure food security and promote rural revitalization.
JOURNAL OF RURAL STUDIES
(2022)
Article
Engineering, Environmental
Pallab Das, Qiang Zeng, Antoine Leybros, Jean-Christophe P. Gabriel, Chor Yong Tay, Jong-Min Lee
Summary: Acrylonitrile butadiene styrene (ABS) is a widely used thermoplastic found in waste electronic and electrical goods. The recycling of e-waste plastics often contains brominated flame retardants, such as Tetrabromobisphenol A (TBBPA), which are intentionally added to the plastics. Three processes - microwave assisted extraction (MAE), ultrasound assisted extraction (UAE), and dissolution reprecipitation (DR) - were compared to find the most efficient method for TBBPA-free plastics recovery. MAE was found to be superior in terms of quantity and quality of recovered plastics, achieving a maximum extraction efficiency of 95.81%.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Miguel-Angel Manso-Callejo, Calimanut-Ionut Cira, Ramon Pablo Alcarria Garrido, Francisco Javier Gonzalez Matesanz
Summary: Deep learning applied to feature extraction and mapping from high-resolution images shows potential in improving terrain mapping processes. Experiences have been applied on a small scale with high expectations for country-wide applicability. The methodology can also be adapted for large-scale efficient extraction of geospatial elements with automated procedures.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Computer Science, Information Systems
Juan C. Roldan, Patricia Jimenez, Pedro Szekely, Rafael Corchuelo
Summary: The article introduces a new proposal for extracting data from user-friendly HTML tables, which involves pre-processing, functional analysis, and post-processing to achieve data extraction. Experimental results demonstrate the method's superiority in effectiveness and competitiveness in efficiency compared to competitors.
INFORMATION SCIENCES
(2021)
Article
Astronomy & Astrophysics
Leonard Gamberg, Zhong-Bo Kang, Ding Yu Shao, John Terry, Fanyi Zhao
Summary: In this paper, we investigate the transverse polarization of Lambda hyperons in single-inclusive leptonic annihilation, revealing that this polarization is influenced by transverse momentum dependent and collinear twist-3 formalisms. Different measurement methods probe different distribution functions, and data can be reanalyzed to extract more information.
Article
Physics, Particles & Fields
J. Benel, A. Courtoy, R. Ferro-Hernandez
EUROPEAN PHYSICAL JOURNAL C
(2020)
Article
Physics, Particles & Fields
Alessandro Bacchetta, Francesco Giovanni Celiberto, Marco Radici, Pieter Taels
EUROPEAN PHYSICAL JOURNAL C
(2020)
Article
Physics, Particles & Fields
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti, Giuseppe Bozzi, Filippo Delcarro, Fulvio Piacenza, Marco Radici
JOURNAL OF HIGH ENERGY PHYSICS
(2020)
Article
Physics, Particles & Fields
Aurore Courtoy, Santiago Noguera, Sergio Scopetta
EUROPEAN PHYSICAL JOURNAL C
(2020)
Article
Physics, Particles & Fields
A. Airapetian, N. Akopov, Z. Akopov, E. C. Aschenauer, W. Augustyniak, R. Avakian, A. Bacchetta, S. Belostotski, V Bryzgalov, G. P. Capitani, E. Cisbani, G. Ciullo, M. Contalbrigo, W. Deconinck, R. De Leo, E. De Sanctis, M. Diefenthaler, P. Di Nezza, M. Dueren, G. Elbakian, F. Ellinghaus, A. Fantoni, L. Felawka, G. Gavrilov, V Gharibyan, D. Hasch, Y. Holler, A. Ivanilov, H. E. Jackson, S. Joosten, R. Kaiser, G. Karyan, E. Kinney, A. Kisselev, V Kozlov, P. Kravchenko, L. Lagamba, L. Lapikas, I Lehmann, P. Lenisa, W. Lorenzon, S. Manaenkov, B. Marianski, H. Marukyan, Y. Miyachi, A. Movsisyan, V Muccifora, Y. Naryshkin, A. Nass, G. Nazaryan, W-D Nowak, L. L. Pappalardo, P. E. Reimer, A. R. Reolon, C. Riedl, K. Rith, G. Rosner, A. Rostomyan, J. Rubin, D. Ryckbosch, A. Schaefer, G. Schnell, B. Seitz, T-A Shibata, V Shutov, M. Statera, A. Terkulov, M. Tytgat, Y. Van Haarlem, C. Van Hulse, D. Veretennikov, I Vilardi, S. Yaschenko, D. Zeiler, B. Zihlmann, P. Zupranski
JOURNAL OF HIGH ENERGY PHYSICS
(2020)
Review
Physics, Nuclear
A. Arbuzov, A. Bacchetta, M. Butenschoen, F. G. Celiberto, U. D'Alesio, M. Deka, I. Denisenko, M. G. Echevarria, A. Efremov, N. Ya. Ivanov, A. Guskov, A. Karpishkov, Ya. Klopot, B. A. Kniehl, A. Kotzinian, S. Kumano, J. P. Lansberg, Keh-Fei Liu, F. Murgia, M. Nefedov, B. Parsamyan, C. Pisano, M. Radici, A. Rymbekova, V. Saleev, A. Shipilova, Qin-Tao Song, O. Teryaev
Summary: The SPD is a future multipurpose experiment to study the gluon content of nucleons using various probes. It aims to investigate phenomena such as gluon helicity, Sivers functions, and Boer-Mulders functions, as well as measure single and double spin asymmetries.
PROGRESS IN PARTICLE AND NUCLEAR PHYSICS
(2021)
Article
Physics, Particles & Fields
N. A. Abdulov, A. Bacchetta, S. Baranov, A. Bermudez Martinez, V Bertone, C. Bissolotti, V Candelise, L. I. Estevez Banos, M. Bury, P. L. S. Connor, L. Favart, F. Guzman, F. Hautmann, M. Hentschinski, H. Jung, L. Keersmaekers, A. Kotikov, A. Kusina, K. Kutak, A. Lelek, J. Lidrych, A. Lipatov, G. Lykasov, M. Malyshev, M. Mendizabal, S. Prestel, S. Sadeghi Barzani, S. Sapeta, M. Schmitz, A. Signori, G. Sorrentino, S. Taheri Monfared, A. van Hameren, A. M. van Kampen, M. Vanden Bemden, A. Vladimirov, Q. Wang, H. Yang
Summary: TMDlib2 is a common library for TMDs and uPDFs, providing a 3D picture of partonic structure. TMDplotter tool allows web-based plotting of distributions, including collinear pdfs.
EUROPEAN PHYSICAL JOURNAL C
(2021)
Article
Astronomy & Astrophysics
Alessandro Bacchetta, Filippo Delcarro, Cristian Pisano, Marco Radici
Summary: We present the distribution of unpolarized quarks in a transversely polarized proton in three-dimensional momentum space. Our results are based on the extractions of the unpolarized and Sivers transverse momentum dependent parton distributions (TMDs) in a fully consistent TMD framework.
Article
Physics, Nuclear
Richard D. Ball, Jon Butterworth, Amanda M. Cooper-Sarkar, Aurore Courtoy, Thomas Cridge, Albert De Roeck, Joel Feltesse, Stefano Forte, Francesco Giuli, Claire Gwenlan, Lucian A. Harland-Lang, T. J. Hobbs, Tie-Jiun Hou, Joey Huston, Ronan McNulty, Pavel M. Nadolsky, Emanuele R. Nocera, Tanjona R. Rabemananjara, Juan Rojo, Robert S. Thorne, Keping Xie, C-P Yuan
Summary: This article presents an updated global PDF fit, PDF4LHC21, which combines the CT18, MSHT20, and NNPDF3.1 sets using Monte Carlo methods. The new combination shows modest uncertainties reduction for key LHC processes compared to its predecessor, PDF4LHC15. Extensive benchmark studies are performed to understand the differences between the three global PDF sets. The phenomenological implications of PDF4LHC21 for a selection of cross sections at the LHC are also studied.
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2022)
Article
Physics, Particles & Fields
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti, Giuseppe Bozzi, Matteo Cerutti, Fulvio Piacenza, Marco Radici, Andrea Signori
Summary: We present an accurate description of unpolarized transverse-momentum-dependent parton distribution and fragmentation functions based on a large number of experimental data points. Using the Monte Carlo replica method and resumming large logarithms at high accuracy, we achieve a very good fit to the data.
JOURNAL OF HIGH ENERGY PHYSICS
(2022)
Article
Astronomy & Astrophysics
Matteo Cerutti, Lorenzo Rossi, Simone Venturini, Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti, Marco Radici
Summary: This article investigates the pion as a fundamental entity and its differences from the nucleon, emphasizing the importance of studying its internal structure and its relation to strong interactions.
Article
Astronomy & Astrophysics
Aurore Courtoy, Joey Huston, Pavel Nadolsky, Keping Xie, Mengshi Yan, C. -P Yuan
Summary: In global QCD fits of parton distribution functions (PDFs), the uncertainty on the PDFs is greatly influenced by the choice of parameter functional forms and fitting methodology. This study proposes a new approach to quantify these uncertainties by viewing them as a sampling of allowed PDF solutions in a multidimensional parametric space. The use of statistical studies and quasi-Monte Carlo integration methods provide valuable insights for understanding and addressing these uncertainties.
Article
Astronomy & Astrophysics
Aurore Courtoy, Angel S. Miramontes, Harut Avakian, Marco Mirazita, Silvia Pisano
Summary: We present the first point-by-point extraction of a twist-3 PDF by analyzing the beam-spin asymmetry data for dihadron production in semi-inclusive DIS. The extracted scalar PDF provides insights into the physics of quark-gluon correlations and has implications for the scalar charge of the nucleon.
Article
Astronomy & Astrophysics
Aurore Courtoy, Pavel Nadolsky
Summary: Analytic functional forms for parton distribution functions (PDFs) cannot be uniquely determined solely based on discrete experimental measurements due to a mathematical property of mimicry of PDF parametrizations. Instead, predictions of nonperturbative QCD approaches for the x dependence of PDFs should be cast in a form that enables decisive comparisons against experimental measurements. Effective power laws of (1 - x) dependence of PDFs may play a key role in these comparisons.
Proceedings Paper
Astronomy & Astrophysics
Simone Rodini, Barbara Pasquini, Alessandro Bacchetta
27TH INTERNATIONAL NUCLEAR PHYSICS CONFERENCE (INPC2019)
(2020)
