Financial repression policy: Latin America and Spain’s lessons for Russia by Farid Akhmed Abu Bakr

“…However, recent studies dedicated to the phenomenon ambiguously assess the role of financial repression in achieving more efficient results of internal regulation. This article contributes to further quantitative analysis of a joint effect of financial repression measures. …”
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Modeling Sunflower Productivity and Profitability in Relation to Adequate and Limited Sulphur Availability under Semiarid Irrigated Conditions by Parvender Sheoran, O. P. Sheoran, Virender Sardana

“…Sustainable production requires efficient use of inputs maintaining optimum yield and high quality product. …”
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Specific Management of IT-Projects by Y. V. Lyandau, A. S. Butkevich

“…Agile-methods take into account all specific features of project management for developing and introducing information technologies. Efficiency of flexible methodologies of IT-project management was proved by a number of qualitative and quantitative investigations.…”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…In the training and deployment phase of the algorithm, the first-stage object detection algorithm uses pruning and quantization techniques to reduce the model size, which is suitable for running in mobile devices or embedded systems with limited resources. …”
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Deploying AI on Edge: Advancement and Challenges in Edge Intelligence by Tianyu Wang, Jinyang Guo, Bowen Zhang, Ge Yang, Dong Li

“…Although edge intelligence methods have been proposed to alleviate the computational and storage burdens, they still face multiple persistent challenges, such as large-scale model deployment, poor interpretability, privacy and security vulnerabilities, and energy efficiency constraints. This article systematically reviews the current advancements in edge intelligence technologies, highlights key enabling techniques including model sparsity, quantization, knowledge distillation, neural architecture search, and federated learning, and explores their applications in industrial, automotive, healthcare, and consumer domains. …”
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Adaptive Lossy Color Image Compression System Based on Hybrid Algorithm by Husam Khalid Khammas, Ayça Kurnaz Türkben

“…To implement this proposed method three experiments were performed by using images of varying dimensions, namely (256 * 256), (512 * 512), and (1024 * 1024) and four different quantization coefficients. For efficiency performance measurement of the proposed system, three metrics were used: Peak signal-to-noise ratio (PSNR), Structural similarity index (SSIM), and compression ratio (CR). …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…First- and second-order angular independent statistical approaches and rotation invariant local phase quantization (RI-LPQ) were utilized to quantify texture information. …”
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Management Control System and Financial Performance of Micro Finance Institutions in Central Region Uganda by Arthur, Sunday, Caleb, Tamwesigire, Caroline Masiko, Murezi, George Stanley, Kinyata, Godfrey, Barigye, Keneth, Nuwagira, Moses, Agaba

“…The study confirmed efficient control system factor structure of observed variables and the latent variables. …”
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Maximizing Performance of Geopolymer Mortar: Optimizing Basalt and Carbon Fiber Content Composition by Katarzyna Ewa Buczkowska, Petr Louda, Artem Sharko, Oleksandr Sharko, Dmitry Stepanchikov, Ludek Jancik, Piotr Los, Kinga Plawecka, Van Su Le

“…Markov chains are employed to address the quantitative aspects of loosely structured tasks and process performance evaluation. …”
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Analysis of injured-skin SS-OCT images based on combined attention UNet. by Xiyu Zheng, Jingyuan Wu, Qiong Ma, Diantao Luo, Qingyu Cai, Haiyang Sun, Hongxing Kang

“…This study presents an efficient and reliable method for the quantitative assessment of laser-induced skin damage using OCT imaging. …”
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Environmental DNA surveys can determine in-stream dominance of non-native brook charr Salvelinus fontinalis over native brown trout Salmo trutta by Andreas Broman, William F. Englund, Niclas Gyllenstrand, Joacim Näslund

“…Here we evaluate the usage of quantitative single-species eDNA analyses to find sites where brook charr dominates over brown trout. …”
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Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

“…To address this, we propose a novel token-guided transition control based on CPNs theory, enabling precise and efficient simulation of AMT systems. Furthermore, we develop a multicriteria evaluation method to quantitatively assess and compare the therapeutic efficacy of various AMT protocols, providing a structured approach for evidence-based decision-making. …”
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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…The proposed model provides a clear trajectory and quantitative foundation for promoting an efficient and intelligent cloud computing ecosystem in the power sector.…”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…To address the limitations of traditional methods without resorting to the high costs associated with laser scanning, this study explores NeRF and GS as cost-effective and efficient alternatives. A comprehensive experimental framework was established, incorporating ground-truth data obtained using a metrological articulated arm and a rigorous quantitative evaluation based on root mean square (RMS) error, Chamfer distance, and point cloud density. …”
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Predicting porosity in tight sandstone reservoirs based on logging while drilling engineering parameters by Dongyang Xue, Ligang Zhang, Zhaoyi Liu, Hao Li, Junru Li, Chenxu Jiang

“…Currently, it is primarily obtained through core testing or logging interpretation, but the lack of quantitative evaluation methods during drilling limits the timeliness and efficiency of porosity acquisition. …”
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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. …”
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Bridging the Gap Between hiPSC-CMs Cardiotoxicity Assessment and Clinical LVEF Decline Risk: A Case Study of 21 Tyrosine Kinase Inhibitors by Zhijie Wan, Chenyu Wang, Shizheng Luo, Jinwei Zhu, Hua He, Kun Hao

“…Incorporating critical drug exposure factors obviously improved qualitative and quantitative extrapolation accuracy. <b>Conclusions</b>: This study established a framework for predicting in vivo cardiotoxicity from in vitro parameters, enabling efficient translation of preclinical data into clinical risk assessment. …”
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Financial Management and Performance of SACCOS in Kisoro District: A Case Study of Chahi Dukore SACCO in Chahi Sub County. by Tuyambaze, Medad

“…The study employed a positivist orientation since it was not purely quantitative-based, with a need for qualitative data. …”
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Fuzzy AHP TOPSIS Methodology for Multicriteria ABC Inventory Classification by Andrés Mauricio Paredes Rodríguez, Juan José Bravo Bastidas, Juan Carlos Osorio Gómez, Diego León Peña Orozco, Jesús González Feliu

“…Products’ classification according to their importance has been a topic addressed by academia and industry for many years, mainly due to the great importance of this process to obtain efficient inventory policies that reduce lost sales while reducing inventory maintenance costs. …”
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A Comprehensive Characterization Procedure for Resonant MEMS Scanning Mirrors by Clement Fleury, Markus Bainschab, Gianluca Mendicino, Roberto Carminati, Pooja Thakkar, Dominik Holzmann, Sara Guerreiro, Adrien Piot

“…We demonstrate an experimental assessment of a high-Q, high-angle piezoelectric (2 µm PZT) MEMS scanning micromirror featuring distributed backside reinforcement, suitable for applications demanding energy-efficient and high-quality image projection. Frequency response measurements at 10 different vacuum levels ranging from atmospheric pressure to 10⁻⁶ mbar allow for the quantitative separation of damping mechanisms (air and structural). …”
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