Forecasting financial services of a call center’s inbound volumes: A case study by Ahm Shamsuzzoha, Joonas Viitanen, Sujan Piya, Mohammad Khadem, Mohammad Shamsuzzaman

“…Quantitative methods’ reliance on numerical data and statistical techniques ensures accuracy, reliability, and the ability to generalize findings. …”
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Optimum conditions for Inulinase production by Aspergillus niger using solid state fermentation by Baghdad Science Journal

“…Thirty local fungal isolates according to Aspergillus niger were screened for Inulinase production on synthetic solid medium depending on inulin hydrolysis appear as clear zone around fungal colony. Semi-quantitative screening was performed to select the most efficient isolate for inulinase production. the most efficient isolate was AN20. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…These results highlight the transformative potential of IRS with discrete phase shifts in enhancing EH-CRN efficiency, particularly in improving energy harvesting and SU throughput under practical constraints.…”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…This study developed a quantitative trading system based on data mining methods. …”
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From life cycle assessment to grass‐based agriculture: A review and application by Yutong Li, Shu Jin, Xiaoping Xin, Yi An, Lili Huo, Changliang Shao, Lulu Wang, Xiaoyu Zhu

“…Abstract Life cycle assessment (LCA) serves as an essential tool for the quantitative evaluation of production efficiency, environmental impacts, and sustainability across the entire life cycle of grass‐based agricultural systems. …”
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Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching by Hui Zeng, Xiuqing Wang, Yu Gu

“…The CS-LMP operator has no exponential computations, so the CS-LMP descriptor can encode the differences of the local intensity values using multiply quantization levels without increasing the dimension of the descriptor. …”
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Deciphering antigen-specific T cell navigation tactics and cancer immune evasion in co-cultures by Xinyue Li, Taoli Jin, Lisha Wang, Senbin Wu, Yerong Liu, Ming Li, Weijing Han, Xuefei Li

“…In this study, we combined quantitative cell trajectory analysis, computational modeling, and bulk/single-cell RNA sequencing to systematically characterize the impact of cell interactions. …”
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The study of socio economic factors’ influence on the capacity dynamics of the pharmaceutical market in contracting conditions by А. А. Kotvitska, V. H. Kostiuk

“…In order to make the efficient product range of drugs in the pharmaceutical industrial enterprises the aim of our research was an analysis of the socio economic factors affecting the quantitative potential of the pharmaceutical market on the example of a group of dexketoprofen. …”
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Vector signal processing techniques for all-optical networks by Zhen XING, Hongxiang WANG, Yuefeng JI

“…The all-optical vector signal processing technology is of great significance in the evolution of optical network due to its low delay and high efficiency.Therefore,a comprehensive introduction to the technical background and application scheme of the current all-optical signal processing was given.The all-optical signal modulation format was firstly introduced,and the basic characteristics and receiving modes of each modulation format were described.Furthermore,the nonlinear optical effects,which were the basis of all-optical signal processing,were classified and introduced.The occurrence conditions,occurrence process,optical phenomena and common nonlinear media were also illustrated.The advantages of all-optical signal processing technology were briefly introduced and three typical research fields of all-optical signal regeneration,all-optical format conversion and all-optical phase quantization were introduced in detail.Finally,the application prospect of future all-optical vector signal processing technology was prospected.…”
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Pedagogical Use of ICTs in Public Teachers’ Training Colleges of Karachi by Sohail Ahmed, Hina Hussain Kazmi

“…Subsequent to f inding, feasible recommendations were suggested for the effective and efficient use of ICTs as an instruction tool. …”
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Does Gender Matter for Green Behaviour? An Empirical Investigation With Cross-Country Data From the Enterprise Surveys by Camilla Jensen

“…The traditional simple linear approach to the adoption of gender variables in quantitative studies is applied. Results demonstrate that women exhibit a higher propensity to act in ecopreneurial ways. …”
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Artificial Intelligence from Google Environment for Effective Learning Assessment by Sergio Miranda

“…A mixed-methods approach was adopted, combining quantitative psychometric evaluation with qualitative student feedback. …”
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Using Value Stream Maps To Treatment Waste Case study in Karbala Holy Health Department by Mohanad Hameed Al-Atwi, Fadhil Abbas Musa Al-Radhi

“…Some appropriate quantitative methods were used (total time to add value, total time not added value, service efficiency, improvement rate). …”
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Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP by YaFeng Li, XinGang Xu, WenBiao Wu, Yaohui Zhu, LuTao Gao, XiangTai Jiang, Yang Meng, GuiJun Yang, HanYu Xue

“…Hyperspectral techniques have been applied to LCC research. However, quantitative prediction of grape LCC using this technique remains challenging due to baseline drift, spectral peak overlap, and ambiguity in the sensitive spectral range. …”
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Silver-based plasmonic nanoparticles for biosensor organophosphate pesticides using a single film containing acetylcholinesterase/choline oxidase by D. Hermanto, N. Ismillayli, H. Muliasari, R. Wirawan, S.R. Kamali

“…BACKGROUND AND OBJECTIVES: To address the potential harm caused by the intensive use of pesticides in pest control in agriculture, there is a need for accurate and efficient methods to detect and monitor pesticide residues. …”
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Real-time fire and smoke detection system for diverse indoor and outdoor industrial environmental conditions using a vision-based transfer learning approach by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Sowmyashree H. Srinivasaiah, Harshel Malawade, Yash Kulkarni, Yash Desai

“…To enable deployment on edge devices, the baseline FP32 model is fine-tuned, pruned, and subsequently optimized using Quantization-Aware Training (QAT) to generate an INT8 precision inference model with its size reduced by 12.7%. …”
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DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning by Doston Khasanov, Halimjon Khujamatov, Muksimova Shakhnoza, Mirjamol Abdullaev, Temur Toshtemirov, Shahzoda Anarova, Cheolwon Lee, Heung-Seok Jeon

“…Our model, optimized for mobile deployment with quantization and TensorFlow Lite, enables rapid on-client computation and eliminates reliance on cloud-based processing. …”
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Framework nucleic acid-based linear amplification platform for sensitive detection of bladder cancer-related miRNAs by MAO Chenzhou, ZHANG Ruiyun, CHEN Haige, YIN Fangfei, ZUO Xiaolei

“…Five bladder cancer-related miRNAs were selected to construct standard curves for quantitative detection.Results·The efficient synthesis of tetrahedral monomer and dimer structures was verified by AFM. …”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…However, long-text inference faces challenges such as high memory consumption and latency. To improve the efficiency of LLMs in long-text inference, a comprehensive review and analysis of existing optimization techniques were conducted. …”
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