Interferometric techniques for virtual histology and staining: principles, techniques, and applications in biomedical imaging by Mohammadhossein Salimi, Bahman Vahidi

“…Background: Traditional histopathology relies on labor-intensive processes like tissue fixation, sectioning, and staining, which are time-consuming, costly, and prone to sample degradation. Virtual histology, leveraging advanced interferometric and optical imaging techniques, offers transformative potential by enabling real-time, non-invasive, and label-free tissue analysis. …”
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EDM-based analysis of Fe-based shape memory alloys using Cu-W electrodes with multiple output optimization and microstructural validation by Ranjit Singh, Sambit Satpathy, Dhirendra Kumar Shukla, Ravi Pratap Singh, Rajeev Trehan, Jibitesh Kumar Panda, Biplab Bhattacharjee

“…However, their complex machinability often leads to high costs and suboptimal surface quality when processed using traditional methods. …”
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Dynamic Evaluation of the Effect of Soil Analysis on Monocultures by Dayhanna S. Vargas, Luz K. Torres, Juan C. Osorio

“…The composting process reduces costs in terms of fertilization, labour and support for environmental enhancement by restoring physical, chemical and biological soil properties. …”
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Deep Reinforcement Learning-Graph Neural Networks-Dynamic Clustering triplet for Adaptive Multi Energy Microgrid optimization by T. Kaal, A. Rafiee

“…By learning from interactions with the environment, the DRL agent dynamically adjusts the power outputs of distributed energy resources, manages energy storage systems, and balances energy exchange between microgrid elements and with the main grid, aiming to minimize costs and ensure reliable power availability. However, incorporating spatial relationships into DRL action space significantly increases computational demands. …”
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MIMO-ISAC Precoding Design Toward Random Signals by Fan LIU, Shihang LU, Zihao CHEN

“…Integrated Sensing And Communications (ISAC) based on reusing random communication signals within the existing network architecture may drastically reduce implementation costs, thereby accelerating the integration of sensing functionalities into current communication networks. …”
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Problems of Public Service Personnel Potential Formation in the Context of New Public Management Realization* by E. V. Vasil’Eva, M. V. Mirzoyan

“…It is based on the conditions for assuring the transparency of public services, job restructuring to improve the efficiency and reduce costs. The current situation in the field of public service management in Russia is characterized by a number of problems. …”
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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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Standard RUTF vs. locally-made RUSF for acutely malnourished children: A quasi-experimental comparison of the impact on growth and compliance in a rural community of Pakistan. by Azza Sarfraz, Sheraz Ahmed, Sajid Muhammad, Najeeb Rehman, Sanam Iram Soomro, Khaliq Qureshi, Sadaf Jakhro, Fayaz Umrani, Adam Greene, Sana Syed, Sean R Moore, Syed Asad Ali

“…RUTF is primarily produced and patented in industrialized countries, raising supply challenges in resource-constrained regions with a high burden of acute malnutrition. RUSF minimizes costs by using locally-available ingredients while providing similar nutritional value. …”
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Ranibizumab versus bevacizumab for ophthalmic diseases related to neovascularisation: a meta-analysis of randomised controlled trials. by Bin Wu, Haixiang Wu, Xiaoyan Liu, Houwen Lin, Jin Li

“…The use of bevacizumab was associated with an increased risk of developing serious systemic events. Weighing the costs and health outcomes is necessary when selecting between bevacizumab and ranibizumab for ophthalmic diseases. …”
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Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends by Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan

“…Hence, it must be combined with optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii) maximize system performance using limited resources. …”
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Os protocolos das modernizações urbanas na história recente da cidade do Recife. // The protocols of urban modernization in the recent history of the city of Recife. by Luís Manuel Nascimento

“…Modernization which was designed by the activities of constituted public authority, associated with capital, coming from new opportunities allied with the wealthier classes interested in gainning money quickly, burdened the lower classes with the costs of this modernism, subsequently, expressed in literary narratives related to the period. …”
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Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…This work bridges the gap between computational efficiency and probabilistic robustness, with broader implications for automated machine learning in geoscientific applications.MethodThe key innovation lies in a subspace-accelerated GP surrogate model that precomputes low-rank approximations of covariance matrices offline, thereby decoupling the costly hyperparameter tuning from the online acquisition function evaluations. …”
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Trends in the application of chondroitinase ABC in injured spinal cord repair by Zhongqing Ji, Jiangfeng Zhu, Jinming Liu, Bin Wei, Yixin Shen, Yanan Hu

“…Moreover, the extensive and long-term medical care required for spinal cord injury significantly increases healthcare costs and resources, adding a substantial burden to the healthcare system and patients’ families. …”
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Analysis and Design of a Multiple-Driver Power Supply Based on a High-Frequency AC Bus by Qingqing He, Zhaoyang Tang, Wenzhe Zhao, Keliang Zhou

“…Meanwhile, achieving precise current sharing among channels without incurring high costs and system complexity is a significant challenge. …”
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Malreduction of Syndesmosis and Outcomes Following Trans-Syndesmotic Screw vs Suture Button Fixation Under Direct Visualization and Reduction Technique: A Prospective Randomized Co... by Chamnanni Rungprai MD, Yantarat Sripanich MD, Suthavee Pangkanon MD, Methasit Suksintharanon MD

“…While suture button fixation has demonstrated efficacy in reducing malreduction rates compared to trans-syndesmotic screw fixation, it incurs higher implant costs. However, the introduction of a direct visualization and reduction technique offers the possibility to mitigate the difference. …”
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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials by Vera Malheiro, Beatriz Santos, Ana Figueiras, Filipa Mascarenhas-Melo

“…The algorithms developed can predict the efficacy, toxicity, and possible adverse effects of new drugs, optimize the steps involved in clinical trials, reduce associated time and costs, and facilitate the implementation of innovative drugs in the market, making it easier to develop precise therapies tailored to the individual genetic profile of patients. …”
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A bioenergetic approach favors the preservation and protection of prey, not cooking, as the drivers of early fire by Miki Ben-Dor, Ran Barkai

“…., ~1,200 ca/h for meat), insufficient to offset fire maintenance costs, unlike preservation and protection.DiscussionThe substantial energetic disparity supports hunting as a dominant subsistence strategy, with fire enhancing efficiency by preserving meat and deterring predators. …”
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Prediction of Type 2 Diabetes Mellitus using a Logistic Regression Model by Olivia Altamirano Guerrero, Ronelsys Martínez Martínez, Jhonny Alejandro Rodríguez Gutiérrez

“…Detecting the disease at an early stage helps reduce medical costs and the risk of patients having more complicated health problems. …”
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A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

“…By establishing models of wind, solar, storage, and controllable load characteristics, an optimization model is constructed with objectives of resource allocation balance and minimization of call costs, subject to constraints such as power balance. …”
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Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models by Hirokazu Madokoro, Stephanie Nix

“…We consider that this research connects high-performance computing with energy-efficient hardware solutions, creating a practical framework for distributed environmental monitoring that reduces reliance on costly centralized monitoring systems. Our findings indicate that transformer-based multimodal models present a promising approach for mobile sensing applications, with opportunities for further improvement through seasonal data expansion and architectural refinements.…”
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