A simple and highly efficient protocol for 13C-labeling of plant cell wall for structural and quantitative analyses via solid-state nuclear magnetic resonance by Tasleem Javaid, Akshayaa Venkataraghavan, Matrika Bhattarai, Debkumar Debnath, Wancheng Zhao, Tuo Wang, Ahmed Faik

“…Abstract Background Plant cell walls are made of a complex network of interacting polymers that play a critical role in plant development and responses to environmental changes. …”
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Pressure-Related Discrepancies in Landsat 8 Level 2 Collection 2 Surface Reflectance Products and Their Correction by Santosh Adhikari, Larry Leigh, Dinithi Siriwardana Pathiranage

“…To quantify these discrepancies, ground truth SR measurements from the Radiometric Calibration Network (RadCalNet) and Arable Mark 2 sensors were compared with the Landsat 8 SR. …”
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Ways to increase the inter-maitenance period of roads by A. A. Lytkin, G. V. Dolgikh, A. S. Prolygin

“…Introduction. Currently, more than 96% of the roads in our country are built with non-rigid pavements with bases made of dispersed materials of crushed stone, sand-gravel mixtures, sand, etc. …”
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Analisis Pengaruh Citra Terhadap Kombinasi Kriptografi RSA dan STEGANOGRAFi LSB by Agus Rakhmadi Mido, Erik Iman Heri Ujianto

“…Abstract Data and information security are currently an important aspect in the process of exchanging messages through the internet network. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Results show Gaussian process regression and artificial neural networks excel in accuracy, though all models’ performance declines with increased soiling. …”
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Training for dementia care and support in rural and remote Australia: appraisals from a nationwide workforce survey by John A. Woods, Jessica Valentine, Kira Gusterson, Kathryn W. Fitzgerald, Katrina P. Fyfe, Myles Clarkson Fletcher, Mohammad Hamiduzzaman, Pascale Dettwiller, Anthony B. Fallon, Clare Dal Bon, Sarah E. Miles, Jo-Anne W. Rayner, Sandra C. Thompson

“…Methods After piloting, the online survey was promoted to rural and remote organisations and professional networks nationwide. The instrument included multiple-choice and ordered-scale items on respondents’ dementia care self-rating and appraisal of their current workplace dementia care training, as well as items categorising their demographic characteristics, main work role, main workplace setting, and geographical site. …”
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A Systematic Review of Pretrained Models in Automated Essay Scoring by Ahmed M. Elmassry, Nazar Zaki, Negmeldin Alsheikh, Mohammed Mediani

“…From the comprehensive analysis of 354 studies, this review shortlisted 22 key papers and identified five distinct focus areas within the current AES research landscape: holistic scoring, trait scoring, cross-domain and generalization, model fairness, and robustness. …”
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Ensuring the unity of the federal system of scientific and methodological support for teacher professional development: Opportunities and risks by A. V. Zolotareva, L. V. Bayborodova, M. V. Gruzdev, I. G. Kharisova

“…Introduction. Currently, the creation of conditions for the continuing professional development of teaching staff is one of the most relevant and discussed problems in international studies. …”
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RNA editing-based biomarker blood test for the diagnosis of bipolar disorder: protocol of the EDIT-B study by Andrea Miranda-Mendizabal, Diana Vetter, Juan Zambrano, Jeff Zarp, Victor Chavarría, Anna Giménez-Palomo, Meritxell Gonzalez-Campos, Marc Valenti, Lara Walczer Baldinazzo, Sara Siddi, Maurizio Ferrari, Dinah Weissmann, Chantal Henry, Josep Maria Haro, Lars Vedel Kessing, Eduard Vieta

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A Survey on Anti-Money Laundering Techniques in Blockchain Systems by Leyuan Liu, Xiangye Li, Tian Lan, Yakun Cheng, Wei Chen, Zhixin Li, Sheng Cao, Weili Han, Xiaosong Zhang, Hongfeng Chai

“…It categorizes existing AML techniques into three primary approaches: rule-based methods, such as transaction parameter threshold setting, address-entity association analysis, and cross-chain association analysis; machine learning-based approaches, including support vector machines, logistic regression, decision trees, random forests, k-means clustering, and combining off-chain information; and deep learning-based methodologies, encompassing convolutional neural networks, recurrent neural networks, graph neural networks, and transformer-based models. …”
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Think globally, act locally: Phylodynamic reconstruction of infectious bronchitis virus (IBV) QX genotype (GI-19 lineage) reveals different population dynamics and spreading patter... by Giovanni Franzo, Paola Massi, Claudia Maria Tucciarone, Ilaria Barbieri, Giovanni Tosi, Laura Fiorentini, Massimo Ciccozzi, Antonio Lavazza, Mattia Cecchinato, Ana Moreno

“…In the present work, these phenomena were evaluated by implementing a Bayesian phylodynamic approach to reconstruct the epidemiological patterns and population history of the QX genotype (currently renamed GI-19 lineage), the most relevant IBV lineage of the Old-World. …”
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Simplified Physical Stability Assessment of Chilean Mine Waste Storage Facilities Using GIS and AI: Application in the Antofagasta Region by Gabriel Hermosilla, Gabriel Villavicencio, Giovanni Cocca-Guardia, Vicente Aprigliano, Manuel Silva, Juan Carlos Quezada, Pierre Breul, Vinicius Minatogawa, Jaime Morales

“…The National Service of Geology and Mining (SERNAGEOMIN) requires assessment of the physical stability (PS) of these facilities, but current methods are hindered by data scarcity and resource constraints. …”
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The AP-1 factor JUNB correlates with poor survival of patients with esophageal adenocarcinoma by Nikolai Schleussner, Karl Knipper, Ella Leugner, Christian Goddemeier, Uraz Yasar, Naita M. Wirsik, Jin-On Jung, Hans F. Fuchs, Lars M. Schiffmann, Alexander Quaas, Christiane J. Bruns, Thomas Schmidt

“…Our findings have translational implications as targeting JUN might complement current available multimodal treatment approaches.…”
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In Vitro Effects of Vanadate Erbium/Silver Oxide (ErVO4/AgO) and Vanadate Iron/Silver Oxide (FeVO4/AgO) Nanoparticles on the Adult of Fasciola hepatica by Arbabi Mohsen, Esmaili Monireh, Hooshyar Hossein, Delavari Mahdi, Sobhani Nasab Ali, Nejati Majid

“…FeVO4/AgO showed more lethal effects on F. hepatica than on ErVO4/AgO and triclabendazole. SEM analysis of treated F. hepatica by both nanoparticles at a concentration of 6 mg/mL showed that the tegument surface of fasciola is swollen in some parts, the pores on the tegument surface are completely visible, the sensory papillae are lost, the tegument is severely damaged and the prominent network structure and its vesicles have completely disappeared. …”
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Lightweight patch-level attention for efficient pig behavior detection: A novel dataset and approach by Shuo Wan, Zhongqiang Huang, Tao Han, Ying Sha

“…Pig behavior detection involves the automatic recognition and classification of pig behaviors in farm images using computer vision and deep learning techniques. Currently, mainstream approaches for pig behavior detection utilize neural networks for image analysis and recognition, however, deep neural network architectures are inherently complex and computationally intensive, with potential for further accuracy enhancement. …”
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Advancing symbolic regression for earth science with a focus on evapotranspiration modeling by Qingliang Li, Cheng Zhang, Zhongwang Wei, Xiaochun Jin, Wei Shangguan, Hua Yuan, Jinlong Zhu, Lu Li, Pingping Liu, Xiao Chen, Yuguang Yan, Yongjiu Dai

“…In Earth sciences, the emphasis extends beyond mere accuracy, striving for groundbreaking discoveries with distinct physical properties essential for driving advancements through thorough analysis. Here, we introduce a novel knowledge-guided deep symbolic regression model (KG-DSR) incorporating prior knowledge of physical process interactions into the network. …”
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Digitalization of Business Development Marketing Tools in the B2C Market by Nataliia Savytska, Vitalina Babenko, Hanna Chmil, Olha Priadko, Iryna Bubenets

“…An important trend of the current development stage of the consumer market is the usage of business Internet platforms designed for mass dissemination of information. …”
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Post‐Translational Modifications of RNA‐Modifying Proteins in Cellular Dynamics and Disease Progression by Yunfan Lin, Pei Lin, Ye Lu, Jiarong Zheng, Yucheng Zheng, Xiangyu Huang, Xinyuan Zhao, Li Cui

“…This review addresses these gaps by offering a comprehensive analysis of the roles PTMs play in regulating RNA‐modifying proteins. …”
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Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology by Yinhu Gao, Peizhen Wen, Yuan Liu, Yahuang Sun, Hui Qian, Xin Zhang, Huan Peng, Yanli Gao, Cuiyu Li, Zhangyuan Gu, Huajin Zeng, Zhijun Hong, Weijun Wang, Ronglin Yan, Zunqi Hu, Hongbing Fu

“…However, the scale and quality of data across different studies vary widely, and the generalizability of models to multi-center, multi-device environments remains to be verified. In pathological analysis, using convolutional neural networks, multimodal pre-training models, etc., automatic tissue segmentation, tumor grading, and assisted diagnosis can be achieved, showing good scalability in interactive question-answering. …”
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Prevalence, Molecular Characterization, and Antimicrobial Resistance Profile of Enterotoxigenic <i>Escherichia coli</i> Isolates from Pig Farms in China by Jiajia Zhu, Zewen Liu, Siyi Wang, Ting Gao, Wei Liu, Keli Yang, Fangyan Yuan, Qiong Wu, Chang Li, Rui Guo, Yongxiang Tian, Danna Zhou

“…Among these isolates, 95.8% were MDR, with alarming resistance to quinolones and aminoglycosides. Geospatial analysis identified region-specific AMR gene clusters, notably <i>oqxB-aac(3)</i> co-occurrence networks in 79% of ETEC isolates. …”
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