PROBLEMS OF FORMATION OF FINANCIAL-INVESTMENT PROJECTION OF A BALANCED SCORECARD IN VALUE-BASED ENTERPRISES OF MINING-METALLURGICAL COMPLEX by S. Faizova, M. Ivanova, S. Sannikova, O. Varyanichenko

“…The criteria of strategic targeting, efficiency and functionality have been defined as key criteria in selecting the BSC metrics. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…We evaluate our model’s performance using rigorous quantitative measures, including accuracy, recall, precision, and F1-score, highlighting its effectiveness in early disease diagnosis and prevention of blindness. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…A key innovation in our method is the introduction of a novel strategy, quantitative augmentation, implemented through a plug-and-play module. …”
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Thermal Transport in Polyethylene Reinforced with H/CH₃/C₂H₅ Functionalized Graphene: A Molecular Dynamics Study by Nava Zarkhah, Mostafa Baghani, Daniel George, Ali Rajabpour, Majid Baniassadi, Mohammadreza Aghaei

“…These findings offer quantitative insights into optimizing polymer nanocomposites for thermal management applications, such as microelectronics and energy storage systems, where efficient heat dissipation is important.…”
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Thermal-mechanical coupled stress prediction of printed circuit heat exchanger in the supercritical CO2 Brayton cycle by Junlin Chen, Wenhai Du, Keyong Cheng, Xunfeng Li, Xiulan Huai, Jiangfeng Guo, Pengfei Lv, Hongsheng Dong

“…This study addresses a critical gap in the thermal-mechanical stress assessment of PCHE for SCO2 Brayton cycles by developing novel quantitative models to predict equivalent stresses at semicircular channel tips. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Consequently, an improved version of YOLO11, embedding attention mechanisms to allow the network to focus on the most relevant details in each image, was trained, tested, and validated on the provided dataset, showing an overall improvement of quantitative metrics such as precision and recall, while retaining enough computational efficiency to allow real-time implementation on constrained devices. …”
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Supply chain performance in the age of Industry 4.0 by Tahsina Khan, Md Mehedi Hasan Emon

“…Design/methodology/approach: A quantitative research design was employed, utilizing a structured questionnaire distributed to 570 manufacturing professionals in Bangladesh, with 350 valid responses collected. …”
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Reconfigurable acoustic streaming tweezers enabled portable liquid handler for nucleic acid extraction by Tiechuan Li, Rui You, Xiaotian Shen, Zhiwei Li, Yang Yang, Ziyu Han, Xuexin Duan

“…The extraction and purification of nucleic acids (NA) play a crucial role in biomedicine, as high-purity and efficient extraction are essential prerequisites for accurate molecular diagnosis. …”
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Spatial–Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement by Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

“…Experimental results on both synthetic and real-world remote sensing datasets show that the SFFNet achieves significant improvements in quantitative metrics and visual quality. Moreover, the SFFNet demonstrates strong practical potential in remote sensing object detection by improving accuracy and robustness.…”
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mtGrasp: Streamlined reference‐grade mitochondrial genome assembly and standardization to enhance metazoan mitogenome resources by Mark Louie D. Lopez, Cecilia L. Yang, Lauren Coombe, René L. Warren, Michael J. Allison, Jacob J. Imbery, Inanc Birol, Caren C. Helbing

“…The present study introduces the Mitochondrial Genome Reference‐grade Assembly and Standardization Pipeline (mtGrasp), a streamlined and memory‐efficient pipeline for assembling complete and standardized mitogenomes from short‐read metazoan DNA libraries (https://github.com/bcgsc/mtGrasp). …”
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Assessing the potential and suitability of geothermal resources using Monte Carlo simulation and game-based combination weighting method by Yixiang HE, Pengpeng DING, Shaohua LIU, Mingzhu WANG, Lei ZHU

“…Finally, this study conducted a quantitative suitability evaluation of the geothermal resources and verified the evaluation results based on the spatial distribution of geothermal wells. …”
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Quality and process improvement of the multidisciplinary Heart Team meeting using Lean Six Sigma by Stijn Schretlen, Paulien C Hoefsmit, Ronald J M M Does, Niels J Verouden, H Reinier Zandbergen

“…A quality improvement project to optimise the Heart Team was initiated after the merger of the cardiac centres of Amsterdam University Medical Centre.Methods Lean Six Sigma was applied with the purpose of improving efficiency and quality of care. Qualitative and quantitative analyses supported the multidisciplinary team during quality improvement sessions. …”
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Study on Boiling Performance of Multi-bubble Nucleation at Nanoscale by GAO Deyang, SUN Zhiyuan, LIU Zhanwei, BO Hanliang

“…This study provides a theoretical basis for optimizing the microstructural design in the boiling heat transfer process, offering valuable guidance for the design of efficient heat exchange systems such as nuclear reactors.…”

Evaluation of a digital entomological surveillance planning tool for malaria vector control: Three country mixed methods pilot study. by Charlotte Hemingway, Steven Gowelo, Mercy Opiyo, Dulcisaria Marrenjo, Mara Maquina, Blessings N Kaunda-Khangamwa, Lusungu Kayira, Teklu Cherkose, Yohannes Hailemichael, Neusa Torres, Estevao Mucavele, Muanacha Mintade, Baltazar Candrinho, Themba Mzilahowa, Endalamaw Gadisa, Allison Tatarsky, Élodie A Vajda, Emily Dantzer, Edward Thomsen, Michael Coleman, Neil F Lobo

“…<h4>Conclusions</h4>Interactive digital toolkits could be an engaging, efficient, and accessible way to build research and surveillance capacity within relevant organizations and local authorities. …”
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Health system determinants of access to essential medicines for children with cancer in Ghana by Avram Denburg, Sumit Gupta, Rhonda Boateng, Lorna Renner, Kadia Petricca

“…Stock-outs occurred for 88% of essential CCD, with a 70-day median stock-out duration; 32% had median price ratios above internationally-accepted efficiency thresholds. Drugs procured inefficiently were more susceptible to stock-outs (p=0.0003). …”
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Characterization of the transcriptional cellular response in midgut tissue of temephos-resistant Aedes aegypti larvae by Elisama Helvecio, Antonio Mauro Rezende, Maria J. R. Bezerra, Osvaldo Pompílio de-Melo-Neto, Maria Alice Varjal de Melo Santos, Tatiany Patrícia Romão, Constância Flávia Junqueira Ayres

“…Understanding the genetic and molecular basis of resistance is important not only to create strategies aimed at detecting and monitoring resistance in the field but also to implement efficient control measures and support the development of new insecticides. …”
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Gene Localization and Functional Validation of <i>GmPDH1</i> in Soybean Against Cyst Nematode Race 4 by Yuehua Dai, Yue Zhang, Chuhui Li, Kun Wan, Yan Chen, Mengen Nie, Haiping Zhang

“…<i>GmPDH1</i> was validated as a critical resistance gene using reverse transcription quantitative PCR (RT-qPCR) and Kompetitive Allele Specific PCR (KASP) marker M0526. …”
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Nanofabrication of superhydrophobic fluidic concentrators coupled with metallic plasmonic nano-antennas for SERS analysis in the sub-femtomolar range by Sofien Ramos, Victor Fabre, Mathieu Arribat, Aurélie Lecestre, Adrian Laborde, Frank Carcenac, Philippe Louarn, Emmanuelle Trevisiol, Christophe Vieu

“…Self-assembled silicon nanopillars decorated with metallic nanoparticles have emerged as efficient Surface Enhanced Raman Spectroscopy (SERS) substrates. …”
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Machine learning and deep learning in glioblastoma: a systematic review and meta-analysis of diagnosis, prognosis, and treatment by Hadja Fatima Tbahriti, Ali Boukadoum, Meriem Benbernou, Mohamed Belhocine

“…Conclusion Although AI techniques have demonstrated encouraging results in GBM studies for various clinical tasks, substantial challenges still preclude efficient clinical applicability. These developments can potentially improve medical practice with improved diagnosis, personalized treatment and fewer invasive procedures. …”
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Strontium-Doped Tin Oxide Nanofibers for Enhanced Visible Light Photocatalysis by Pranta Barua, Tan Thai, Kannoorpatti Krishnan, Naveen Kumar Elumalai

“…This work establishes a quantitative correlation between electrochemical characteristics and photocatalytic activity in Sr-doped SnO₂ nanofibers, revealing the fundamental mechanisms that transform the SnO₂ nanostructure from UV-dependent to efficient visible light-driven catalysts for organic pollutant degradation.…”
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