Atmospheric Transport Modeling of CO2 With Neural Networks by Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

“…Both, stable predictions for longer time horizons and mass conservation throughout need to be achieved, while IO plays a larger role compared to computational costs. In this study we explore four different deep neural networks (UNet, GraphCast, Spherical Fourier Neural Operator and SwinTransformer) which have proven as state‐of‐the‐art in weather prediction to assess their usefulness for atmospheric tracer transport modeling. …”
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White coat effect in patients with hypertension by G. F. Andreeva, V. M. Gorbunov, D. N. Antipushina, E. V. Platonova

“…In addition, BP increase in these patients during a doctor’s visit may lead to additional prescription of antihypertensive drugs, increasing costs and side effects. To identify WCE, a large number of methods are used, which can be divided into following groups: I – data from clinical and daytime ambulatory blood pressure measurement, II – clinical and home BP assessment, III – only ambulatory BP measurement, IV – clinical and laboratory BP data, and V – only clinical BP measurement. …”
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A review of phenolic compounds in water bodies of grazing areas by Monde Rapiya, Mhlangabezi Slayi, Wayne Truter

“…Detecting and monitoring phenolic compounds require sensitive techniques like high-performance liquid chromatography (HPLC) and microextraction methods, which can be costly and complex. Seasonal changes, land use, and pollution from fertilizers, pesticides, and animal waste influence phenolic levels in water bodies. …”
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Methodology of Strategic Planning For the Development of Educational Ecosystems by O. E. Permyakov, E. A. Kitin

“…The methodology of strategic planning for the development of educational ecosystems allows: to create better models for the development than the generally accepted models of managing the educational process; develop an “ecosystem” strategy for the development of an educational organization; avoid costs and waste of resources in the context of digital transformation and dynamic changes in social relations.…”
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Defining ‘therapeutic value’ of medicines: a scoping review by Kerstin N Vokinger, Camille E G Glaus, Andrina Kloeti

“…Frequently mentioned determinants for value were quality of life, therapeutic alternatives and side effects (all patient perspective), prevalence/incidence and clinical endpoints (all public health perspective), and costs (socioeconomic perspective).Conclusions Multiple determinants have been developed to define the therapeutic value of medicines, most of them focusing on cancer disorders and rare diseases. …”
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function. by Weilin Cao, Liqiang Zhang

“…Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of equipment, reduce maintenance costs, and improve production efficiency. However, the noise interference in the industrial field often hides the original characteristics of the bearing fault signal, leading to the deep learning-based fault diagnosis model's lack of diagnostic reliability in the strong industrial noise background. …”
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Data Biases in Geohazard AI: Investigating Landslide Class Distribution Effects on Active Learning and Self-Optimizing by Jing Miao, Zhihao Wang, Tianshu Ma, Zhichao Wang, Guoming Gao

“…While active learning (AL) offers promise for mitigating annotation costs and addressing data biases, the interplay between landslide class proportions and AL efficiency remains poorly quantified; additionally, self-optimizing mechanisms to adaptively manage class imbalances are underexplored. …”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…Moreover, comparative performance shows that it incurs the lowest energy and computation costs at relatively low communication overheads.…”
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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…The findings underscore the importance of developing diverse models to predict diseases like CCVD, which have high medical costs and incidence rates, thus informing the development of healthcare policies.…”
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Modeling sustainable development pathways by Leonardo Schultz, Chris Cosner, José Maria Cardoso da Silva

“…Critically, increasing education investment to 8 % of GDP eliminates the economic costs associated with conservation policies. This study demonstrates that apparent trade-offs between environmental protection and socioeconomic development can be resolved through strategic policy integration. …”
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TRENDS IN THE MILLING AND BAKING INDUSTRY IN THE EU-28 AND ROMANIA IN THE PERIOD 2015-2019 by Agatha POPESCU, Toma Adrian DINU, Elena STOIAN, Valentin SERBAN

“…The milling and bakery industry has to continue to modernize infrastructure, to look for healthier ingredients in the recipes, to diversify production, to keep under control production costs reducing energy expenses, to increase product quality and assure a good ratio between product quality and price.…”
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column:Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast Error by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…On this basis, a mid-term complementary scheduling model for hydro-wind-solar systems was developed with the objective of minimizing total operational costs. The original model was transformed into a mixed-integer linear programming (MILP) model through the linearization of both objective functions and constraints. …”
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Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning by Jinlin Liao, Guilian Wu, Jia Lin

“…Furthermore, ISAC exhibits outstanding performance in dynamic scenarios, reducing total costs by 20.63% and 15.25% compared to Deep Q-Network (DQN) and Deep Deterministic Policy Gradient (DDPG), respectively.…”
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Review Review Review: Protein Subunit and DNA Vaccines Key Research, Development & Future Directions by Hafiz Mirza Muhammad Shahab

“…Scaling up manufacturing and high production costs are challenges. The advantages of DNA vaccines include improved efficacy because of developments in delivery technologies, such as lipid nanoparticles, and rapid development and economical manufacture (e.g., ZyCoV-D). …”
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Use of sugarcane industrial by-products for improving sugarcane productivity and soil health by M. L. Dotaniya, S. C. Datta, D. R. Biswas, C. K. Dotaniya, B. L. Meena, S. Rajendiran, K. L. Regar, Manju Lata

“…If all the press mud is recycled through agriculture about 32,464, 28,077, 14,038, 3434, 393, 1030, and 240 tonnes (t) of N, P, K, Fe, Zn, Mn, and Cu, respectively, can be available and that helps in saving of costly chemical fertilizers. Conclusions Application of sugarcane industries by-products reduces the recommended dose of fertilizers and improves organic matter of soil during the crop production. …”
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Scrub-and-Learn: Category-Aware Weight Modification for Machine Unlearning by Jiali Wang, Hongxia Bie, Zhao Jing, Yichen Zhi

“…However, existing methods often struggle with high computational costs, such as estimating the inverse Hessian, or require access to the original training data, limiting their practicality. (2) Methods: In this work, we introduce Scrub-and-Learn, which is a category-aware weight modification framework designed to remove class-level knowledge efficiently. …”
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TRIDENT: Text-Free Data Augmentation Using Image Embedding Decomposition for Domain Generalization by Yoonyoung Choi, Geunhyeok Yu, Hyoseok Hwang

“…However, these methods rely on domain-specific textual inputs and require costly fine-tuning, which limits their scalability. …”
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Organo-mineral fertilizers for sustainable agriculture by Katarzyna Chojnacka, Jonas Baltrusaitis

“…Precise nutrient management reduces input costs, improves yields, and reduces chemical residues in crops. …”
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Inefficiencies and Patient Burdens in the Development of the Targeted Cancer Drug Sorafenib: A Systematic Review. by James Mattina, Benjamin Carlisle, Yasmina Hachem, Dean Fergusson, Jonathan Kimmelman

“…Our evaluation of sorafenib development suggests many opportunities for reducing costs and unnecessary patient burden in cancer drug development.…”
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Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers by Eros Fani, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

“…Our empirical evaluation on real-world cross-device datasets shows that <monospace>Fed3R</monospace>, combined with <monospace>OLL</monospace>, significantly improves performance and reduces training costs in heterogeneous FL and PFL scenarios.…”
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