Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network by Đurđica Vukić, Sanda Martinčić-Ipšić, Ana Meštrović

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Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach by Hongzeng He, Shufen Dai

“…In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. …”
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Coordinate Control of Power/Current for Grid-Connected Inverter Based on PCI Controller under Unbalanced Grid Conditions by Chencong Zhao, Jun Liu, Zhouhua Xie, Feihang Zhou

“…The proposed control is achieved by adjusting the weight coefficient of current reference values to change the current harmonic contents based on proportional complex integral (PCI) controller and proportional multiple complex integral (PMCI) controller. …”
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A Novel Synchronization-Based Approach for Functional Connectivity Analysis by Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella

“…The synchronization metric is also compared with Pearson’s correlation coefficient and the detected communities seem to better reflect the functional brain organization during the specific task.…”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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Construction of New Ion Selective Electrodes for Determination Fe(III) and Their Application in Pharmaceutical samples by Baghdad Science Journal

“…The best electrode was based on DBP plasticizer which gave a slope 19.79 mV/decade, correlation coefficient 0.9999, detection limit of 9×10-6 M, lifetime 37 day displayed good stability and reproducibility and used to determine iron(III) in pharmaceutical samples. …”
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Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…Aiming at the lack of accuracy and efficiency of the traditional detection methods and the existing deep learning-based detection methods, this study proposes a contour extraction model for bridge cracks at different scales based on the deep learning algorithm. …”
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Enhancement of optical chaos generator using double delayed feedback by Raghad Ibrahim

“… Chaotic lasers are widely used in secure communication, optical detection and other applications due to their noise-like randomness, excellent anti-jamming and other advantages. …”
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Ultra-precise quantification of mRNA targets across a broad dynamic range with nanoreactor beads. by Ivan Francisco Loncarevic, Susanne Toepfer, Stephan Hubold, Susanne Klingner, Lea Kanitz, Thomas Ellinger, Katrin Steinmetzer, Thomas Ernst, Andreas Hochhaus, Eugen Ermantraut

“…However digital assays are complex and require sophisticated microfluidic tools. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…A number of machine learning models are built from a combination of molecular and hotspot descriptors, with the best models achieving a Pearson's Correlation Coefficient of 0.79 with experimental off-rates and a Matthew's Correlation Coefficient of 0.6 in the detection of rare stabilizing mutations. …”
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Rapid simultaneous determination of organophosphorus pesticides in human serum and urine by liquid chromatography-mass spectrometry by Zlatković Milica, Jovanović Miodrag, Đorđević Dragana, Vučinić Slavica

“…The limits of detection (LOD) was between 0.007- 0.07 mg/L and the limits of quantitation (LOQ) ranged between 0.022-0.085 mg/L. …”
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Spectrophotometric Method for the Determination of Ciprofloxacin in Pure and Pharmaceutical Preparations: Development and Validation by Tariq Yassin Mahmoud, Isam Shaker Hamza, Aziz Latif Jarallah

“…Ciprofloxacin (Cip) is spectrophotometrically identified through the formation of a colored charge-transfer complex that exhibits a maximum absorbance at 440 nm. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…While significant progress has been made in areas such as path planning, obstacle detection, and navigation, relatively less focus has been placed on vehicle speed control, which plays a critical role in ensuring safe and efficient operation, especially in complex and dynamic road environments. …”
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Cathodic Stripping Voltammetric Determination of Dimenhydrinate by Raqi Shubietah, Ali Abu Zuhri‎‏

“…The peak height is increased largely (tripled) in presence of Cu2+, due to the formation of DMH-Cu (I) complex. The detection limit is as low as 5x10-9 M DMH. …”
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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

“…The model’s ability to analyze high-resolution images and capture complex features of skin lesions promises significant advancements in early detection and personalized treatment. …”
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Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…At the same time, the mIOU increased by 6.1%, and the Dice coefficient increased by 3.6%. It can be seen that the YOLO-BT algorithm is suitable for brain tumor detection and segmentation.…”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…With the increasingly complex marine environment, the propagation of underwater acoustic signals is often severely interfered by complex background noise, which seriously affects the signal quality and subsequently affects the detection and recognition ability of sensors for underwater targets. …”
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COLUMN PRECONCENTRATION OF URANIUM BY 1 -(2-PY RIDYLAZ0)-2-NAPHTHOL SUPPORTED ON NAPHTHALENE USING DIF'FERENTLAL PULSE POLAROGRAPHY

“…The detection limit is 1.5 µg ml (Signal to noise ratio = 2). …”
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Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms i... by Yue Chen, Weili Kou, Wenna Miao, Xiong Yin, Jiayue Gao, Weiyu Zhuang

“…This study aimed to accurately map burned forest areas and analyze the spatial distribution of forest fires under complex terrain conditions. This study integrates Landsat 8, Sentinel-2, and MODIS data to map burned forest areas in the complex terrain of western Yunnan. …”
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