Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

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Numerical analysis of spectroscopic studies using supercontinuum generated by noise-like pulses by Christian A. Salcedo-Rodriguez, Eloisa Gallegos-Arellano, Julian M. Estudillo-Ayala, Juan M. Sierra-Hernandez, Jose D. Filoteo-Razo, Maximino R. Tapia-Garcia, Daniel A. Ramos-Gonzalez, Roberto Rojas-Laguna, Juan C. Hernandez-Garcia

“…Simulations were also performed for CH4, showing a visible absorption spectrum, thereby substantiating that these sources powered by NLPs can detect various gases with a high degree of selectivity.…”
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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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Multimessenger Signatures of a Deformed Magnetar in Gamma-Ray Bursts by Parisa Hashemi, Soroush Shakeri, Yu Wang, Liang Li, Rahim Moradi

“…We study the evolution of a newly formed magnetized neutron star (NS) as a power source of gamma-ray bursts (GRBs) in the light of both gravitational-wave (GW) and electromagnetic (EM) radiation. …”
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The Diversity of Cold Worlds: A Blended-light Binary Straddling the T/Y Transition in Brown Dwarfs by Daniella C. Bardalez Gagliuffi, Jacqueline K. Faherty, Genaro Suárez, Sherelyn Alejandro Merchan, Brianna Lacy, Ben Burningham, Klara Matuszewska, Rocio Kiman, Johanna M. Vos, Austin Rothermich, Jonathan Gagné, Caroline Morley, Melanie J. Rowland, Dan Caselden, Aaron Meisner, Adam C. Schneider, Marc J. Kuchner, Charles A. Beichman, Peter R. Eisenhardt, Christopher R. Gelino, Ehsan Gharib-Nezhad, Eileen C. Gonzales, Federico Marocco, Niall Whiteford, J. Davy Kirkpatrick

“…Carbon disequilibrium chemistry strongly shapes the mid-infrared spectra of these sources, as a complex function of the metallicity and surface gravity. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Identification of miRnas with possible prognostic roles for HAM/TSP by Daniela Raguer Valadão de Souza, Rodrigo Pessôa, Youko Nukui, Juliana Pereira, Rosa Nascimento Marcusso, Augusto César Penalva de Oliveira, Jorge Casseb, Alberto José da Silva Duarte, Patricia Bianca Clissa, Sabri Saeed Sanabani

“…The seven most deregulated miRs target genes have been associated with a variety of biological processes and molecular functions. The reactome pathways relevant to our findings provide a rich source of data and offer the opportunity to better understand sRNA regulation and function in HTLV-1 pathophysiology. …”
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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

“…Due to their insidious onset and impact on critical functional areas of the brain, these tumors often result in irreversible abnormalities in growth and development, as well as cognitive and motor impairments in affected children. …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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In Situ Analysis of Jupiter's Broadband Kilometric Auroral Radio Emissions With Juno by B. Collet, L. Lamy, C. K. Louis, V. Hue, T. K. Kim

“…Taking advantage of Juno in situ measurements within the auroral regions, we surveyed the Juno/Waves radio observations over the 60 first orbits to identify 7 bKOM source candidates. These were mostly detected during dawn storm auroral episodes (4/7) and three were found to be colocated with auroral cavities. …”
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Protocol Biopsies in Kidney Transplant Recipients: Current Practice After Much Discussion by Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Stamatia Stai, Georgios Lioulios, Efstratios Kasimatis, Asimina Fylaktou, Maria Stangou

“…Expert opinion and consensus acknowledge the benefits of protocol biopsies for early detection and tailored management but also highlight ongoing debates regarding their routine use in low-risk patients due to risks, costs, and resource considerations. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Abstract Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. …”
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Subclinical Aortic Root Pathology in Close Relatives of Patients with Bicuspid Aortic Valve by Ivaniv Y., Lozynska N., Ivaniv I.

“…However, the degree of dilation of the aorta does not correspond to the severity of the valve function disorder. In many studies, it is emphasized that in persons with BAV the elastic properties of the proximal aorta are significantly reduced. …”
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Comprehensive analysis of the NAC transcription factor gene family in Sophora tonkinensis Gagnep by Ximei Liang, Shuangshuang Qin, Guili Wei, Xiaoyun Guo, Shugen Wei, Fan Wei, Ying Liang

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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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The Dysregulation of Tuning Receptors and Transcription Factors in the Antennae of <i>Orco</i> and <i>Ir8a</i> Mutants in <i>Aedes aegypti</i> Suggests a Chemoreceptor Regulatory M... by Matthew M. Cooke, Michael S. Chembars, Ronald Jason Pitts

“…Individual tuning receptors in both families require co-receptors for functionality: <i>Orco</i> for all <i>Ors</i>, and <i>Ir8a</i> for many <i>Irs</i>, especially ones that are involved in carboxylic acid detection. …”
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Factors associated with contrast-associated acute kidney injury in an emergency department: A cohort study in Lebanon. by Moustafa Al Hariri, Sally Al Hassan, Malak Khalifeh, Hani Tamim, Imad El Majzoub, Tharwat El Zahran

“…<h4>Background</h4>Contrast-associated acute kidney injury (CA-AKI) is a common problem in hospitals, particularly in low-middle-income countries (LMIC), due to limited resources and a high prevalence of comorbidities. Kidney function evaluation using serum creatinine levels before contrast administration leads to increased length of stay and delayed patient care. …”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Applying advanced technologies in human resources can enable organizations to address these challenges effectively. …”
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Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images by Fariba Shaker, Zahra Baharlouei, Gerlind Plonka, Hossein Rabbani

“…In recent years, deep learning methods have excelled in Optical Coherence Tomography (OCT) image classification but demand high computational resources and extensive training data. We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal abnormalities. …”
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