Multi-element synergy in photocatalytic materials integrated mechanism-design-preparation strategies by Qi Zhanfeng, Li Guancheng, Guo Xiuli

“…It is emphasized that the precise regulation of elemental species, ratios and distributions, combined with the synergistic optimization of photocatalytic mechanism and preparation process, is the key path to achieve efficient photocatalytic performance. Finally, it is proposed that future research should focus on the quantitative analysis of the complex interactions between elements and the integrated design of low-cost materials, in order to promote the practical application of photocatalytic technology in the fields of environmental treatment and energy conversion.…”
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Precision medicine in oncology: role and prospects of mass spectrometry by E. S. Khmelevskaya, E. A. Perina, E. E. Buyko, A. A. Ufandeev, O. A. Kaidash, V. V. Ivanov, A. N. Baikov, E. V. Parochkina, E. V. Udut

“…Mass spectrometry is becoming an indispensable tool in basic and applied research due to its sensitivity, specificity, and accuracy. It allows for efficient analysis of complex biological compounds, even at low concentrations. …”
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AI-Powered Forecasting of Environmental Impacts and Construction Costs to Enhance Project Management in Highway Projects by Joon-Soo Kim

“…The accurate early-stage estimation of environmental load (EL) and construction cost (CC) in road infrastructure projects remains a significant challenge, constrained by limited data and the complexity of construction activities. To address this, our study proposes a machine learning-based predictive framework utilizing artificial neural networks (ANNs) and deep neural networks (DNNs), enhanced by autoencoder-driven feature selection. …”
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Bayesian spatio-temporal disease mapping of COVID-19 cases in Bangladesh. by Sefat-E- Barket, Md Rezaul Karim, Md Sifat Ar Salan

“…The spatio-temporal analysis considers interactions between space and time is essential for understanding the virus's transmission pattern and developing efficient mitigation strategies.<h4>Objective</h4>This study explicitly examines how meteorological, demographic, and vaccination with all doses of risk factors are interrelated with COVID-19's complex evolution and dynamics in 64 Bangladeshi districts over space and time.…”
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Exploring the Components of Green Hospitals Through an Accreditation-Based Approach: A Qualitative Study by Ghasem Abedi, Roya Malekzadeh, Seyedeh Fatemeh Alamdar

“…The identified main themes included management and leadership, hospital building design, green space, energy management, water efficiency, and waste management. The corresponding sub-themes were: environmentally preferable purchasing, strategic planning and policymaking, support from senior management, paper use optimization, appropriate site selection, innovative design, use of sustainable materials, selection of suitable vegetation, allocation of green space, efficient irrigation methods, energy efficiency, use of clean energy, promotion of green transportation, water conservation, wastewater management, non-infectious waste disposal, infectious waste disposal, and chemical waste management. …”
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Nitrate Content in Open Field Spinach, Applicative Case for Hyperspectral Reflectance Data by Walter Polilli, Angelica Galieni, Fabio Stagnari

“…Notably, stacked performed well also with models trained on 53 wavelengths, demonstrating strong potential for transferability as the required sensors would be less complex than those used in this study. Furthermore, a simulation of the practical application was conducted using Italian Ministry of Health official data with the scope of showing a potential use case in improving nitrate management and for advancing efficient farming practices in agriculture. …”
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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…Specifically, ANN models excel at detecting subtle, complex patterns that reflect battery health and performance, crucial for accurate SOC estimation. …”
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High yield enrichment law for tight sandstone gas reservoir: A case study of the second member of Xujiahe Formation gas reservoir in Xinchang-Hexinchang gas field of western Sichua... by YAN Huanrong,ZHAN Zedong,LI Yajing,BI Youyi,DENG Meizhou,FENG Ying

“…The tight sandstone gas reservoirs of the Xujiahe Formation in the western Sichuan Depression of the Sichuan Basin are characterized by thick sand bodies, poor physical properties, strong heterogeneity, and complex gas-water distribution. These factors significantly challenge the development evaluation and productivity zone selection for this gas reservoir. …”
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FAEM: Fast Autonomous Exploration for UAV in Large-Scale Unknown Environments Using LiDAR-Based Mapping by Xu Zhang, Jiqiang Wang, Shuwen Wang, Mengfei Wang, Tao Wang, Zhuowen Feng, Shibo Zhu, Enhui Zheng

“…To enhance exploration efficiency in large-scale unknown environments, we propose a Fast Autonomous Exploration Framework (FAEM) designed to enable efficient autonomous exploration and real-time mapping by UAV quadrotors in unknown environments. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…However, significant challenges remain in managing large, complex satellite imagery datasets, acquiring specialized datasets due to high costs and labor intensity, including a lack of comparative studies for the selection of optimal deep learning models. …”
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Rhizosphere-associated bacterial and fungal communities of two maize hybrids under increased nitrogen fertilization by Qing Liu, HongCui Dai, Hao Cheng, Guodong Shao, Liang Wang, Hui Zhang, Yingbo Gao, Kaichang Liu, Xiaomei Xie, Junhua Gong, Xin Qian, Zongxin Li

“…IntroductionThe selection and application of nitrogen-efficient maize hybrids have significantly bolstered contemporary food security. …”
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Application of plant extracts cosmetics in the field of anti-aging by Minghui Xie, Zibing Jiang, Xingyue Lin, Xingchuan Wei

“…Natural extract cosmetics are highly favored by consumers for their safety and efficacy, aligning with consumer preferences for natural, organic, efficient and sustainable skincare concepts. Numerous plant resources in nature possess superior properties like moisturizing, barrier repair, anti-oxidation, sunscreen whitening and anti-inflammatory properties after thousands of years of natural selection. …”
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Combining the analytical hierarchy process, fuzzy expert systems, and the exponential risk priority number for the holistic evaluation of innovation projects in manufacturing by Quirin Gärtner, Alessandro Bianchi, Harsh Mulrav, Gunther Reinhart

“…Manufacturing companies operate in a complex environment and need efficient manufacturing processes to remain competitive. …”
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Microbial biosensors for environmental monitoring by David VOGRINC, Maša VODOVNIK, Romana MARINŠEK-LOGAR

“…Although technologies, such as bioinformatics and genetic engineering, allow us to design complex and efficient microbial biosensors for environmental pollutants, the transfer of the laboratory work to the field still remains a problem to solve.…”
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The Role of CoLab and GAITS in Enabling the RADx Tech Program by John M. Collins, Marshall R. Collins, Tamara McKenzie, Mark Marino

“…These teams collaborated in complex workflows that needed to be carefully monitored and tracked. …”
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The Development of Building Materials Recommendation System Based on Feature Crosses by Hui-Ping Tserng, Chung-Cho Chang, Shu-Hsien Tai

“…Relying solely on traditional data often limits architects’ understanding, especially during early design, where material choices impact overall performance. This complexity highlights the need for an efficient recommendation system. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Consequently, researchers focus on identifying factors that influence the selection of portfolios with high returns and controlled risk. …”
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…To solve this problem, genetic algorithm is used to fine-tune SVM model parameters, and multi-level SVM classification architecture is constructed to enhance the accuracy of emotion recognition. In the feature selection stage, ACO algorithm is introduced to explore the optimal combination of emotion features, aiming at improving the efficiency and robustness of emotion recognition. …”
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Laser desorption/ionization mass spectrometry (LDI MS) of terbium(III) coordination compound with new bis-chelating carbacylamidophosphate (CAPh) ligand by I. P. Olyshevets, O. V. Severinovskaya, V. A. Ovchynnikov, V. M. Amirkhanov

“…-diketones and their derivatives have attracted increasing interest due to the possibility of using such compounds in biomedical research, as contrast reagents for NMR tomography studies and MOLED technology. That is why the selection of appropriate ligands, which are effective sensitizers of lanthanide luminescence and can form thermodynamically stable complexes, is especially important. …”
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Integrative Transcriptomic and Target Metabolite Analysis as a New Tool for Designing Metabolic Engineering in Yeast by Alejandro Lopez-Barbera, Nerea Abasolo, Helena Torrell, Nuria Canela, Salvador Fernández-Arroyo

“…Therefore, the use of multi-omics strategies can help in the design, selection and efficiency of genetic editing. In this study, we present a multi-omics approach based on targeted metabolite analysis and transcriptomics for the designing of CRISPR/Cas9 in baker’s yeast as a more efficient strategy to select editing regions. …”
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