Neurological post-COVID syndrome is associated with substantial impairment of verbal short-term and working memory by Jeyanthan Charles James, Hannah Schulze, Nadine Siems, Christian Prehn, Daniel R. Quast, Nadine Trampe, Ralf Gold, Simon Faissner

“…The present results should be considered to optimize treatment algorithms for therapy and rehabilitation programs of PCS patients with neurologic symptoms.…”
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MFFCI–YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information by Sheng Xu, Lin Song, Junru Yin, Qiqiang Chen, Tianming Zhan, Wei Huang

“…There is a growing need for lightweight algorithms in certain remote sensing devices. Moreover, remote sensing images (RSIs) often contain numerous small, densely distributed targets, which pose significant detection challenges. …”
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Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis by Ennio Idrobo-Avila, Gergo Bognar, Dagmar Krefting, Thomas Penzel, Peter Kovacs, Nicolai Spicher

“…<italic>Methods:</italic> We applied widely known algorithms entitled &#x201C;signal quality indicators&#x201D; to the common biosignals in both datasets, namely electrocardiography, electroencephalography, and respiratory signals split in segments of 10 s duration. …”
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Dysregulation of innate and adaptive lymphoid immunity may have implications for symptom attribution and predict responses to targeted therapies in neuropsychiatric systemic lupus... by Julius Lindblom, Guillermo Barturen, Lorenzo Beretta, Daniel Toro-Domínguez, Elena Carnero-Montoro, Maria Orietta Borghi, Jessica Castillo, Ellen Iacobaeus, Yvonne Enman, Chandra Mohan, Marta E. Alarcón-Riquelme, Dionysis Nikolopoulos, Ioannis Parodis, Jacques-Olivier Pers, Alain Saraux, Valérie Devauchelle-Pensec, Sandrine Jousse-Joulin, Bernard Lauwerys, Julie Ducreux, Anne-Lise Maudoux, Ana Tavares, Isabel Almeida, Miguel Angel Gonzalez-Gay Mantecón, Ricardo Blanco Alonso, Alfonso Corrales Martínez, Ignasi Rodríguez-Pintó, Gerard Espinosa, Rik Lories, Nicolas Hunzelmann, Doreen Belz, Niklas Baerlecken, Michael Zauner, Michaela Lehner, Eduardo Collantes, Ma Angeles Aguirre-Zamorano, Alejandro Escudero-Contreras, Ma Carmen Castro-Villegas, Norberto Ortego, María Concepción Fernández Roldán, Enrique Raya, Inmaculada Jiménez Moleón, Enrique de Ramon, Isabel Díaz Quintero, Pier Luigi Meroni, Tommaso Schioppo, Carolina Artusi, Carlo Chizzolini, Aleksandra Zuber, Donatienne Wynar, Attila Balog, Magdolna Deák, Márta Bocskai, Sonja Dulic, Gabriella Kádár, Falk Hiepe, Silvia Thiel, Manuel Rodriguez Maresca, Antonio López-Berrio, Rocío Aguilar-Quesada, Héctor Navarro-Linares

“…In silico prediction algorithms demonstrated a greater anticipated response to anifrolumab, C3 inhibitors, and calcineurin inhibitors for patients in CNS lupus subgroup 1 compared with subgroup 2. …”
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Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin

“…To fill this research gap, this study developed 15 models comprising five machine learning methods: regression trees, support vector regression, Gaussian process regression, bagged trees, and boosted trees, and three optimization algorithms: random search, grid search, and Bayesian optimization. …”
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Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T sol... by Tao Hai, Ali Basem, As’ad Alizadeh, Kamal Sharma, Dheyaa J. jasim, Husam Rajab, Abdelkader Mabrouk, Lioua Kolsi, Wajdi Rajhi, Hamid Maleki, Narinderjit Singh Sawaran Singh

“…The obtained models are integrated into the multi-objective particle swarm optimization (MOPSO) and multi-objective thermal exchange optimization (MOTEO) algorithms, forming a three-objective optimization problem. …”
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Predictive factors and nomogram for the risk of cytokine release syndrome with anti-CD3 × CD20 bispecific antibodies for Chinese patients by Peng Sun, Cui Chen, Bai-Tian Zhao, Bo-Yan Zhang, Hang Yang, Yu Wang, Fei Xu, Kang-Ming Huang, Yin-Ting Liu, Mei-Shuo Ouyang, Jia-Jia Huang, Pan-Pan Liu, Ying Guo, Zhi-Ming Li

“…Clinical data were collected, and various methods including machine learning algorithms were introduced. Results The median age of the patients was 55 years, and the median number of previous treatment lines was 2. …”
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Exploring potential targets and mechanisms of PCB52-induced cardiotoxicity: Integration of network toxicology and zebrafish experimental evidence by Linhao Zong, Xiaoyang Lu, Yuxin Yang, Jing Zhao, Ziqi Tang, Dake Cao, Linxia Sun, Miao Guan, Shixia Xu

“…Twelve hub genes (STAT1, FN1, TP53, CCL2, ACE, PARP1, NFKB1, MTOR, HDAC2, RELA, ATM, and APP) were identified from the network using 7 algorithms from cytoHubba plugin in Cytoscape. Molecular docking was employed to validate the interactions between PCB52 and hub targets. …”
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Double‐row suture‐bridge technique does not yield better clinical and radiological results than single‐row technique in patients older than 55 years at 2 years minimum follow‐up: A... by Vito Gaetano Rinaldi, Sassoli Iacopo, Federico Coliva, Antongiulio Favero, Alberto Bazzocchi, Marco Miceli, Stefano Di Paolo, Stefano Zaffagnini, Giulio Maria Marcheggiani Muccioli

“…Further research, including randomized controlled trials with long‐term follow‐up, is needed to refine treatment algorithms and improve patient outcomes in rotator cuff surgery. …”
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Combined endodontic treatment: microbiological aspects by using scanning electronical microscopy by V. N. Tsarev, A. V. Mitronin, M. S. Podporin, D. A. Ostanina, E. V. Ippolitov, V. A. Mitronin

“…To determine possible alternative algorithms for root canal disinfection through the combined use of chemical and physiotherapeutic irrigation techniques under in vitro conditions.Materials and methods. …”
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Plasma FGF2 and YAP1 as novel biomarkers for MCI in the elderly: analysis via bioinformatics and clinical study by Yejing Zhao, Yejing Zhao, Xiang Wang, Jie Zhang, Yanyan Zhao, Yi Li, Ji Shen, Ying Yuan, Jing Li

“…To address this gap, datasets GSE29378 and GSE12685 were selected to screen differentially expressed genes (DEGs), and hub genes were identified by different algorithms. A total of 350 DEGs were identified in bioinformatics data mining. …”
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Nonlinear Model Predictive Yaw Moment Control Through Electric Axle and Friction Brake Torque Distribution by Carmine Caponio, Gaetano Tavolo, Davide Tavernini, Ahu Ece Hartavi Karci, Javad Ahmadi, Basilio Lenzo, Giulio Reina, Giacomo Mantriota, Pietro Perlo, Aldo Sorniotti

“…A broad literature deals with torque-vectoring (TV) algorithms based on direct yaw moment control (DYC), which continuously generate longitudinal tire forces that are different on the left and right vehicle sides. …”
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Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs by Wei Huang, Wei Huang, Wei Huang, Wei Huang, Jun Zhao, Mingjie Li, Mingjie Li, Mingjie Li, Quansheng Lou, Quansheng Lou, Nanyang Yan, Nanyang Yan, Nanyang Yan, Shaojie Sun

“…These include short-wave infrared band Glint Correction (GC), DeGlint (DG), and near-infrared band intercept (DG865) algorithms to enhance glint correction after the DSF processor. …”
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Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign by K. Dana Chadwick, Frank Davis, Kimberley R. Miner, Ryan Pavlick, Mark Reynolds, Philip A. Townsend, Philip G. Brodrick, Christiana Ade, Jean Allen, Leander Anderegg, Yoseline Angel, Indra Boving, Kristin B. Byrd, Petya Campbell, Luke Carberry, Katherine C. Cavanaugh, Kyle C. Cavanaugh, Kelly Easterday, Regina Eckert, Michelle Gierach, Kaitlin Gold, Erin Hestir, Fred Huemmrich, Maggie Klope, Raymond F Kokaly, Piper Lovegreen, Kelly Luis, Conor McMahon, Nicholas Nidzieko, Francisco Ochoa, Anna Jiselle Ongjoco, Elsa Ordway, Madeleine Pascolini‐Campbell, Natalie Queally, Dar A. Roberts, Clare M. Saiki, Fabian D. Schneider, Alexey N. Shiklomanov, Germán D. Silva, Jordan Snyder, Michele Thornton, Anna T. Trugman, Nidhi Vinod, Ting Zheng, Dulcinea M. Avouris, Brianna Baker, Latha Baskaran, Tom Bell, Megan Berg, Michael Bernas, Niklas Bohn, Renato K. Braghiere, Zach Breuer, Andrew J. Brooks, Nolan Burkard, Julia Burmistrova, Kerry Cawse‐Nicholson, John Chapman, Johana Chazaro‐Haraksin, Joel Cryer, K. C. Cushman, Kyla Dahlin, Phuong D. Dao, Athena DiBartolo, Michael Eastwood, Clayton D. Elder, Angela Giordani, Kathleen Grant, Robert O. Green, Alexa Hanson, Brendan Heberlein, Mark Helmlinger, Simon Hook, Daniel Jensen, Emma Johnson, Marie Johnson, Michael Kiper, Christopher Kibler, Jennifer Y. King, Kyle R. Kovach, Aaron Kreisberg, Daniel Lacey, Evan Lang, Christine Lee, Amanda M. Lopez, Brittany Lopez Barreto, Andrew Maguire, Elliott Marsh, Charles Miller, Dieu My T. Nguyen, Cassandra Nickles, Jonathan P. Ocón, Elijah P. Papen, Maria Park, Benjamin Poulter, Ann Raiho, Porter Reim, Timothy H. Robinson, Fernando E. Romero Galvan, Ethan Shafron, Brenen R. Skalitzky, Sydney Stroschein, Niky C. Taylor, David R. Thompson, Kate Thompson, Cecily Tye, Joelie Van Beek, Cecilia Vanden Heuvel, Jonathan Vellanoweth, Evert Vermeer, Claire Villanueva‐Weeks, Kristen Zumdahl, David Schimel

“…However, the full value of repeat spectroscopy, the information embedded within different temporal scales, and the reliability of existing algorithms across diverse ecosystem types and vegetation phenophases have remained elusive due to the absence of suitable sub‐seasonal spectroscopy data. …”
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Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach by Huali Jiang, Weijie Chen, Benfa Chen, Tao Feng, Heng Li, Dan Li, Shanhua Wang, Weijie Li

“…Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify significant module genes associated with AMI. Machine learning algorithms (Support Vector Machine (SVM), Random Forest (RF) and Least Absolute Shrinkage and Selection Operator (LASSO)) were applied to identify hub genes. …”
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The potential &amp; limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

“…This research proposes an alternative CVGL solution, a series of algorithmic operations which can completely automate the calculation of target camera pose via a less common photogrammetry method known as monoplotting, also called single camera resectioning. …”
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Dynamic Dwell Time Adjustment in Wire Arc-Directed Energy Deposition: A Thermal Feedback Control Approach by Md Munim Rayhan, Abderrachid Hamrani, Fuad Hasan, Tyler Dolmetsch, Arvind Agarwal, Dwayne McDaniel

“…Future work should focus on integrating multi-axis thermal sensors, extending the framework to multi-material deposition scenarios and implementing machine learning algorithms for predictive thermal modeling.…”
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Optimisation tools for meeting nutrient requirements of Indian children and adults at optimal cost by Fathima Ayoob, Jawahar R. Manivannan, Ashikh Ahmed, Afsal K. Murikkanchery, Abhishek Kumar, Santu Ghosh, Patrick Webb, Anura V. Kurpad, Tinku Thomas

“…Design: Linear-programming algorithms were adapted into two web-based tools: a Food Optimisation for Population (FOP) tool and a Diet Optimisation Tool (DOT). …”
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MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

“…The proposed solution also outperformed several other state-of-the-art algorithms exists in the literature.…”
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Proteomic analysis of blood plasma as a tool for personalized diagnosis of lung adenocarcinoma by D. N. Korobkov, A. S. Kononikhin, S. D. Semenov, H. L. Kordzaya, A. G. Brzhozovskiy, A. E. Bugrova, E. Yu. Vasilieva, D. Yu. Kanner, E. N. Nikolaev, A. A. Komissarov

“…The data obtained were analyzed using modern methods of biological statistics, including machine learning algorithms.Results. Based on the quantitative analysis of 118 proteins in blood plasma between the experimental groups, we proposed a panel of 12 significant proteins that are specific markers of LAC. …”
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