News Item
Multidisciplinary Sciences
Elizabeth Gibney
Summary: Using emissions data from different locations can assist researchers in minimizing the environmental impact of machine-learning experiments.
Article
Multidisciplinary Sciences
Hsiu-Hui Hsu
Summary: This study explored the learning effectiveness of drawing makeup designs by computer graphic design and compared the learning differences between traditional hand-drawn and computer-assisted teaching in cosmetology students. The results showed that using computer tools improved overall student learning effectiveness and promoted students' interest in learning. The study also found that the mirror function in computer graphic design tools best met students' needs for makeup symmetry and design drawing speed, and improved their satisfaction with computer graphic makeup.
Article
Engineering, Electrical & Electronic
Saehyun Ahn, Jung-Woo Chang, Hyeon-Seok Yoon, Suk-Ju Kang
Summary: This paper highlights the importance of the multi-touch algorithm in touch screens and discusses the limitations of rule-based algorithms for detecting small and closely-spaced touch objects. Deep learning-based algorithms achieve higher accuracy but face challenges in hardware implementation due to computational complexity. The authors propose an efficient neural architecture search algorithm, TouchNAS, to find the optimal multi-touch algorithm.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Wonsuk Kim, Soojeong Kim, Minhyeok Lee, Junhee Seok
Summary: Efficiently designing structures with desired properties is a challenging task in engineering and scientific applications. Traditional methods involve experts designing structures and performing simulations to evaluate their properties. Inverse design framework allows for directly constructing structures with desired properties. This paper introduces a model based on a controllable generative adversarial network (ControlGAN) for generating nanophotonic devices with user-defined properties, which outperforms other GAN-based models in producing structures with maximum transmittance at specific wavelengths. The proposed inverse design model can accelerate device designs in the field of nanophotonics and other nanostructures.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Environmental
Abdulelah S. Alshehri, Fengqi You
Summary: The discovery of superior molecular solutions through computational methods is crucial for innovative technologies and addressing resource, health, and environmental issues. Deep learning in inverse molecular design has surpassed decades of theoretical efforts and shows promise in transforming current molecular design paradigms. This article provides an overview of computational inverse molecular design, identifies three main directions for each element, and analyzes their merits and relevant deep learning developments. The discussions aim to catalyze progress and interdisciplinary collaborations towards general-purpose inverse design frameworks.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Psychology, Experimental
Richard E. Mayer
Summary: This article examines evidence-based principles for designing effective instructional videos, drawing on research by Mayer (2020) and grounded in cognitive theories of learning and instruction. The principles include multimedia, coherence, signaling, redundancy, spatial contiguity, temporal contiguity, segmenting, pre-training, modality, personalization, voice, image, embodiment, and generative activity.
JOURNAL OF APPLIED RESEARCH IN MEMORY AND COGNITION
(2021)
Review
Biochemistry & Molecular Biology
Jaroslaw Polanski
Summary: The availability of computers has opened new possibilities in drug design, and neural networks have played an important role. However, with the recent success of deep learning, there has been a resurgence in the use of neural networks in deep chemistry. Self-organizing maps have been found to be highly efficient in molecular representation. While deep learning has shown efficiency in other areas, its application in deep chemistry still faces challenges.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Chemistry, Multidisciplinary
Eka Noviana, Tugba Ozer, Cody S. Carrell, Jeremy S. Link, Catherine McMahon, Ilhoon Jang, Charles S. Henry
Summary: Microfluidic paper-based analytical devices (muPADs) have gained significant interest as a promising analytical platform in the past decade, offering unique advantages over traditional microfluidics. This comprehensive Review highlights fabrication methods, device designs, and detection strategies, as well as the growing applications of muPADs, while discussing the field's need for further advancement to realize its full potential.
Article
Neurosciences
David X. Wang, Nicole Ng, Sarah E. Seger, Arne D. Ekstrom, Jennifer L. Kriegel, Bradley C. Lega
Summary: Successful neuromodulation approaches depend on effective brain state classification and closed-loop stimulation. This study develops a data-driven method using SVM classifiers to identify high-yield brain targets for episodic memory modulation. It also examines the effectiveness of conserved brain regions in classifying associative memory and explores unsupervised classification methods for clinical device implementation. The results provide insights into functional brain state classification and how it can inform the design of neuromodulation devices.
Editorial Material
Multidisciplinary Sciences
Miryam Naddaf
Summary: Two studies show significant improvements in technologies aimed at aiding communication for individuals with facial paralysis.
Article
Thermodynamics
Junwei Zhao, Wei Xu, Zhengfei Kuang, Rui Long, Zhichun Liu, Wei Liu
Summary: This study presents a seven-layer segmented thermoelectric generator with optimized material sequences for each semiconductor leg, resulting in improved electric power and energy conversion efficiency. Machine learning and ensemble-based regression model are employed to reveal the relationship between leg material sequences and the performance of the STEG. The results contribute to the rational design and fabrication of satisfactory STEGs.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Review
Chemistry, Inorganic & Nuclear
Huanhuan Liu, Xue Zhang, Haoran Xu, Wenzhao Ma, Lijuan Wang, Zhaohui Meng, Fei Wang
Summary: Spinel Li2ZnTi3O8 is a promising anode for electrochemical energy storage devices due to its zero volumetric change and high operating potentials. However, its low electronic conductivity hinders its electrochemical performance. In this review, material, electrode, and device designs for enhancing the performance of Li2ZnTi3O8-based energy storage and conversion devices are comprehensively summarized.
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Education & Educational Research
Mustafa Yildiz, Ran Shi, Mehmet Kara
Summary: Cluster randomized trials are commonly employed in educational research for methodological reasons. This study focuses on improving the efficiency of such trials in the context of computer/information literacy and computational thinking. By employing a two-level hierarchical linear model, the study estimates various factors' impact on the trials' outcomes and reveals that considering both student and teacher/school covariates leads to the most precise effect.
EDUCATION AND INFORMATION TECHNOLOGIES
(2022)
Article
Chemistry, Medicinal
Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio, Marwin Segler
Summary: De novo molecule design algorithms often generate chemically unfeasible or synthetically inaccessible compounds. Existing proxy methods still produce highly unrealistic compounds. This study proposes RetroGNN, a novel approach to estimate synthesizability using a graph neural network trained on synthesis planning data. RetroGNN improves generative molecule discovery pipelines and achieves state-of-the-art scores in QSAR-based benchmarks by finding synthesizable molecules.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2022)
Editorial Material
Multidisciplinary Sciences
Gemma Conroy
Summary: The use of AI in writing and reviewing could potentially revolutionize the nature of scientific papers.
Article
Chemistry, Multidisciplinary
Samer Gozem, Anna I. Krylov
Summary: A molecule's spectrum serves as a unique fingerprint encoding information about its structure and electronic properties, acting as a molecular ID. Quantum chemistry calculations play a crucial role in interpreting spectra, but modeling the spectra often requires additional steps considering electronic and nuclear degrees of freedom and experimental specifics. The ezSpectra suite, comprising ezFCF and ezDyson, offers tools for calculating Franck-Condon factors and absolute cross-sections for various processes.
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE
(2022)
Article
Chemistry, Physical
Astrid S. Tarleton, Jorge C. Garcia-Alvarez, Anah Wynn, Cade M. Awbrey, Tomas P. Roberts, Samer Gozem
Summary: Excited-state quantum chemical calculations usually report excitation energies and oscillator strengths for each electronic transition, while UV-visible spectrophotometric experiments measure energy-dependent molar extinction coefficients that give absorption band line shapes when plotted. The relation between these two quantities is complicated by broadening and solvation effects. This study compared the experimental and computed absorption strengths for solvated organic molecules, and found that the computed values tended to overestimate the experimental values. However, considering a solvent refractive index factor improved the agreement between the two.
JOURNAL OF PHYSICAL CHEMISTRY A
(2022)
Article
Biochemistry & Molecular Biology
Silvia Rinaldi, Giorgio Colombo, Antonella Paladino
Summary: In this study, we investigate the mechanism behind t1-dependent regulation and the impact of different t1 nucleotides on the conformational dynamics of hAgo2 and guide-target RNAs. Our findings demonstrate that t1-adenine plays a crucial role in the recognition and stabilization of the target, acting as a molecular switch. The results provide important insights into the regulation of gene expression.
Article
Chemistry, Physical
Laura Pedraza-Gonzalez, Leonardo Barneschi, Michal Marszalek, Daniele Padula, Luca De Vico, Massimo Olivucci
Summary: We propose a computational protocol, implemented through a general Python-based driver, for fast and automated screening of hybrid QM/MM models of rhodopsins as fluorescent probes. The protocol is benchmarked using experimentally measured absorption and emission spectra of different rhodopsin variants. We demonstrate that the protocol can reproduce observed trends in fluorescence and select potentially fluorescent rhodopsins, although it has limitations as a black-box tool. The protocol can also be used for mechanistic investigations of fluorescence enhancement effects associated with S1/S2 states or coupling of S0/S1 wave functions.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Chemistry, Physical
Giovanni Li Manni, Ignacio Fdez. Galvan, Ali Alavi, Flavia Aleotti, Francesco Aquilante, Jochen Autschbach, Davide Avagliano, Alberto Baiardi, Jie J. Bao, Stefano Battaglia, Letitia Birnoschi, Alejandro Blanco-Gonzalez, Sergey I. Bokarev, Ria Broer, Roberto Cacciari, Paul B. Calio, Rebecca K. Carlson, Rafael Carvalho Couto, Luis Cerdan, Liviu F. Chibotaru, Nicholas F. Chilton, Jonathan Richard Church, Irene Conti, Sonia Coriani, Juliana Cuellar-Zuquin, Razan E. Daoud, Nike Dattani, Piero Decleva, Coen de Graaf, Mickael G. Delcey, Luca De Vico, Werner Dobrautz, Sijia S. Dong, Rulin Feng, Nicolas Ferre, Michael Filatov (Gulak), Laura Gagliardi, Marco Garavelli, Leticia Gonzalez, Yafu Guan, Meiyuan Guo, Matthew R. Hennefarth, Matthew R. Hermes, Chad E. Hoyer, Miquel Huix-Rotllant, Vishal Kumar Jaiswal, Andy Kaiser, Danil S. Kaliakin, Marjan Khamesian, Daniel S. King, Vladislav Kochetov, Marek Krosnicki, Arpit Arun Kumaar, Ernst D. Larsson, Susi Lehtola, Marie-Bernadette Lepetit, Hans Lischka, Pablo Lopez Rios, Marcus Lundberg, Dongxia Ma, Sebastian Mai, Philipp Marquetand, Isabella C. D. Merritt, Francesco Montorsi, Maximilian Morchen, Artur Nenov, Vu Ha Anh Nguyen, Yoshio Nishimoto, Meagan S. Oakley, Massimo Olivucci, Markus Oppel, Daniele Padula, Riddhish Pandharkar, Quan Manh Phung, Felix Plasser, Gerardo Raggi, Elisa Rebolini, Markus Reiher, Ivan Rivalta, Daniel Roca-Sanjuan, Thies Romig, Arta Anushirwan Safari, Aitor Sanchez-Mansilla, Andrew M. Sand, Igor Schapiro, Thais R. Scott, Javier Segarra-Marti, Francesco Segatta, Dumitru-Claudiu Sergentu, Prachi Sharma, Ron Shepard, Yinan Shu, Jakob K. Staab, Tjerk P. Straatsma, Lasse Kragh Sorensen, Bruno Nunes Cabral Tenorio, Donald G. Truhlar, Liviu Ungur, Morgane Vacher, Valera Veryazov, Torben Arne Voss, Oskar Weser, Dihua Wu, Xuchun Yang, David Yarkony, Chen Zhou, J. Patrick Zobel, Roland Lindh
Summary: This article describes the developments of the open-source OpenMolcas chemistry software environment since spring 2020, focusing on the novel functionalities in the stable branch and interfaces with other packages. These developments cover a wide range of topics in computational chemistry and provide an overview of the chemical phenomena and processes that OpenMolcas can address.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Chemistry, Physical
Mohammad Pabel Kabir, Daniel Ouedraogo, Yoelvis Orozco-Gonzalez, Giovanni Gadda, Samer Gozem
Summary: To expand the application range of FbFPs, researchers explored different strategies to modify the absorption and emission wavelengths. By placing positively charged amino acids near the flavin cofactor, previous studies achieved spectral tuning. In this work, the researchers proposed an alternative strategy by placing negatively charged amino acids near the flavin's N1 atom. Computational predictions and experimental results confirmed that this strategy resulted in a slight red shift in the fluorescence of the mutant protein iLOV-Q430E, indicating its potential for further red shifting.
JOURNAL OF PHYSICAL CHEMISTRY B
(2023)
Article
Biochemistry & Molecular Biology
Ka Wa Fan, Hoi Ling Luk, David Lee Phillips
Summary: The 3-hydroxyflavone (3-HF) is a common fluorescence probe with two distinct fluorescence bands. However, it has poor performance in water due to hydrogen bonding perturbation. The use of supramolecular chemistry improves its fluorescence performance in water. This paper reviews the supramolecular chemistry of 3-hydroxyflavone with cyclodextrin and octa acid, showing that beta-cyclodextrin slightly improves the fluorescence intensity of the tautomer form, gamma-cyclodextrin enhances the green fluorescence intensity, and octa acid creates a dry environment for 3-hydroxyflavone to exist only in the tautomer form.
Article
Biochemistry & Molecular Biology
Britton K. Ody, Jing Zhang, Sydney E. Nelson, Yayun Xie, Ruochuan Liu, Cayden J. Dodd, Savannah E. Jacobs, Savannah L. Whitzel, Leighan A. Williams, Samer Gozem, Mark Turlington, Jun Yin
Summary: Target validation is crucial for the development of PROTACs, and this study demonstrated the effectiveness of HaloPROTACs in ubiquitinating and degrading protein targets tagged with HaloTag, by engaging the CRBN E3 ligase. Through screening, HaloPROTACs were identified that showed higher degradation activity towards EGFP-HaloTag fusion protein than VHL-engaging HaloPROTACs at low concentrations. Additionally, a bifunctional HaloPROTAC ligand was developed to recruit the CRBN E3 ligase for protein degradation in cells.
Article
Chemistry, Physical
E. Ikonnikov, M. Paolino, J. C. Garcia-Alvarez, Y. Orozco-Gonzalez, C. Granados, A. Roeder, J. Leonard, M. Olivucci, S. Haacke, O. Kornilov, S. Gozem
Summary: XUV photoelectron spectroscopy (XPS) is a powerful method for investigating the electronic structures of molecules. This study presents experimental aqueous-phase XPS of two organic biomimetic molecular switches, NAIP and p-HDIOP, and theoretical calculations using implicit and explicit solvent models. The results show that the explicit solvent model, ASEC-FEG, gives binding energies in good agreement with the experiment and reveals the contribution of counterions to solvation effects on the switches.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Chemistry, Analytical
Edoardo Farnesi, Silvia Rinaldi, Chen Liu, Jonas Ballmaier, Orlando Guntinas-Lichius, Michael Schmitt, Dana Cialla-May, Juergen Popp
Summary: Saliva, as a body fluid, plays an important role in point-of-care medicine for real-time health monitoring and personalized preventative therapy. The combination of SERS and MD simulations can verify the traceability of specific biomarkers in saliva, opening up a new pathway for precision medicine diagnostics.
Article
Virology
Maria Alfreda Stincarelli, Michael Quagliata, Andrea Di Santo, Lorenzo Pacini, Feliciana Real Fernandez, Rosaria Arvia, Silvia Rinaldi, Anna Maria Papini, Paolo Rovero, Simone Giannecchini
Summary: In order to combat SARS-CoV-2, researchers have studied the conserved amino acid region of the internal fusion peptide in the Spike glycoprotein of SARS-CoV-2 to design new inhibitory peptides. One of these peptides, PN19, showed powerful inhibitory activity against different SARS-CoV-2 variants without cytotoxicity. The inhibitory activity of PN19 was dependent on the conservation of specific amino acid residues and its binding ability to membrane-proximal region derived peptides. These findings suggest that the internal fusion peptide region is a promising target for developing peptidomimetic antivirals against SARS-CoV-2.
Review
Chemistry, Multidisciplinary
Yorrick Boeije, Massimo Olivucci
Summary: In the past few decades, conical intersections (CoIns) have evolved from theoretical curiosities to common features in photochemical reactions. They are responsible for the relaxation of electronically excited molecules to their ground state in regions where two electronic states have the same energy. This article reviews the factors controlling CoIn-mediated ultrafast photochemical reactions and highlights the importance of considering the phase matching of multiple molecular modes in the excited state reaction coordinate.
CHEMICAL SOCIETY REVIEWS
(2023)
Article
Chemistry, Physical
Giovanni Li Manni, Ignacio Fdez. Galvan, Ali Alavi, Flavia Aleotti, Francesco Aquilante, Jochen Autschbach, Davide Avagliano, Alberto Baiardi, Jie J. Bao, Stefano Battaglia, Letitia Birnoschi, Alejandro Blanco-Gonzalez, Sergey I. Bokarev, Ria Broer, Roberto Cacciari, Paul B. Calio, Rebecca K. Carlson, Rafael Carvalho Couto, Luis Cerdan, Liviu F. Chibotaru, Nicholas F. Chilton, Jonathan Richard Church, Irene Conti, Sonia Coriani, Juliana Cuellar-Zuquin, Razan E. Daoud, Nike Dattani, Piero Decleva, Coen de Graaf, Mickael G. Delcey, Luca De Vico, Werner Dobrautz, Sijia S. Dong, Rulin Feng, Nicolas Ferre, Michael Filatov(Gulak), Laura Gagliardi, Marco Garavelli, Leticia Gonzalez, Yafu Guan, Meiyuan Guo, Matthew R. Hennefarth, Matthew R. Hermes, Chad E. Hoyer, Miquel Huix-Rotllant, Vishal Kumar Jaiswal, Andy Kaiser, Danil S. Kaliakin, Marjan Khamesian, Daniel S. King, Vladislav Kochetov, Marek Krosnicki, Arpit Arun Kumaar, Ernst D. Larsson, Susi Lehtola, Marie-Bernadette Lepetit, Hans Lischka, Pablo Lopez Rios, Marcus Lundberg, Dongxia Ma, Sebastian Mai, Philipp Marquetand, Isabella C. D. Merritt, Francesco Montorsi, Maximilian Morchen, Artur Nenov, Vu Ha Anh Nguyen, Yoshio Nishimoto, Meagan S. Oakley, Massimo Olivucci, Markus Oppel, Daniele Padula, Riddhish Pandharkar, Quan Manh Phung, Felix Plasser, Gerardo Raggi, Elisa Rebolini, Markus Reiher, Ivan Rivalta, Daniel Roca-Sanjuan, Thies Romig, Arta Anushirwan Safari, Aitor Sanchez-Mansilla, Andrew M. Sand, Igor Schapiro, Thais R. Scott, Javier Segarra-Marti, Francesco Segatta, Dumitru-Claudiu Sergentu, Prachi Sharma, Ron Shepard, Yinan Shu, Jakob K. Staab, Tjerk P. Straatsma, Lasse Kragh Sorensen, Bruno Nunes Cabral Tenorio, Donald G. Truhlar, Liviu Ungur, Morgane Vacher, Valera Veryazov, Torben Arne Voss, Oskar Weser, Dihua Wu, Xuchun Yang, David Yarkony, Chen Zhou, J. Patrick Zobel, Roland Lindh
Summary: This article describes the recent developments in the open-source chemistry software environment, OpenMolcas, since spring 2020. It focuses on the new functionalities and interfaces with other packages. The article presents various topics in computational chemistry, including electronic structure theory, electronic spectroscopy simulations, molecular structure optimizations, ab initio molecular dynamics, and other new features. Overall, it highlights the capabilities of OpenMolcas in addressing chemical phenomena and processes, making it an attractive platform for advanced atomistic computer simulations.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Chemistry, Physical
Beverly Ru, C. Annie Hart, Richard Mabbs, Samer Gozem, Anna Krylov, Andrei Sanov
Summary: Photoelectron angular distributions (PADs) in SO- photodetachment were investigated using photoelectron imaging spectroscopy. The results show that the electron kinetic energy (eKE) has a similar trend with respect to the PADs as O-2(-), but with a smaller minimum value. The interaction between the departing electron and the dipole moment of the neutral SO core in the exit channel plays a crucial role in shaping the PADs.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Chemistry, Physical
Jia Wang, N. Fabian Kleimeier, Rebecca N. Johnson, Samer Gozem, Matthew J. Abplanalp, Andrew M. Turner, Joshua H. Marks, Ralf Kaiser
Summary: Pericyclic reactions have been crucial in advancing our understanding of cycloadditions, sigmatropic shifts, group transfer reactions, and electrocyclization reactions. However, the mechanisms of photochemically activated cheletropic reactions have been a topic of debate. This study reports on the simplest cheletropic reaction and provides evidence for the reaction pathways involved in the addition of O-18 carbon monoxide to photoexcited acetylene. The results demonstrate the power of combining experimental photolysis with theoretical calculations to unravel complex polyatomic reactions at the molecular level.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Review
Chemistry, Multidisciplinary
Yikuan Liu, Xiaona Liu, An Su, Chengtao Gong, Shenwei Chen, Liwei Xia, Chengwei Zhang, Xiaohuan Tao, Yue Li, Yonghe Li, Tulai Sun, Mengru Bu, Wei Shao, Jia Zhao, Xiaonian Li, Yongwu Peng, Peng Guo, Yu Han, Yihan Zhu
Summary: Covalent organic frameworks are crystalline porous materials with designable structures and functions, which can acquire multifunctionalities and have versatile applications in gas separation/storage, catalysis, and optoelectronic devices.
CHEMICAL SOCIETY REVIEWS
(2024)
Review
Chemistry, Multidisciplinary
Heyang Zhang, Jo Vandesompele, Kevin Braeckmans, Stefaan C. De Smedt, Katrien Remaut
Summary: Gene therapy has the potential to revolutionize the treatment of inherited and acquired diseases, but its success rate is currently limited. This review focuses on the obstacles faced by gene therapies in the human body, such as nucleic acid degradation by abundant nucleases, and discusses strategies to reduce degradation and methods to assess nucleic acid integrity.
CHEMICAL SOCIETY REVIEWS
(2024)
Review
Chemistry, Multidisciplinary
Chenxi Duan, Chunming Cui
Summary: Low valent group 14 compounds with diazaborolyl substituents exhibit unique structures and reactivity due to the combination of sigma-electron donation and steric hindrance. The modulation of the HOMO-LUMO gap by the diazaborolyl substituents results in novel reaction patterns in the activation of small molecules and inert chemical bonds.
CHEMICAL SOCIETY REVIEWS
(2024)
Review
Chemistry, Multidisciplinary
David E. Salazar Marcano, Nada D. Savic, Kilian Declerck, Shorok A. M. Abdelhameed, Tatjana N. Parac-Vogt
Summary: Metal-oxo clusters have great potential in various fields and can react with biomolecules, making them promising for applications in disease treatment and energy development. They can also be used in the development of inorganic drugs and bioanalytical tools.
CHEMICAL SOCIETY REVIEWS
(2024)
Review
Chemistry, Multidisciplinary
Lana K. Moree, Logan A. V. Faulkner, James D. Crowley
Summary: In this tutorial review, the general methods for synthesizing heterometallic metallosupramolecular architectures (MSAs), specifically heterometallic cages, are examined. The intrinsic properties and potential applications of these cages as host-guest systems and reaction catalysts are discussed.
CHEMICAL SOCIETY REVIEWS
(2024)