Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers by Yifei Zhao, Hao Zhu, Changfei Dai, Wen Liu, Wenjin Yu, Bin Yan, Xiyang Ji, Lin Li, Dong Wei, Zhaopan Li, Ping Chen

“…However, the relationship between thrombin‐antithrombin complex (TAT), tissue plasminogen activator–inhibitor complex (t‐PAIC), plasmin‐α2 plasmin inhibitor complex (PIC), thrombomodulin (TM), and early neurological deterioration (END) remains unclear. …”
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Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…This research represents a corresponding and developed specialized impact factors reverse analysis method for software complexes’ support automation; it is intended for the analysis of impact factors affecting the supported software’s (or processes of its comprehensive support) subjective perception results, as one of the constituent tasks of the more complex problem of software complexes’ support automation. …”
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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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Design and performance investigation for substrate filler in protected horticulture by WEI Yuyong, LU Jun, SHENG Kuichuan, QIAN Xiangqun, SHEN Junfeng

“…Furthermore, automatic feeding device is complex and expensive in the fierce competition in the growing market. …”
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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 selectivity coefficient interferences of (K+, Na+, Cu+2, Mn+2, Zn2+, Al3+,Folic acid) were studied using separate and mixed methods for selectivity coefficient determination. …”
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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…The random walk technique, which has a reputation for excellent performance, is one method for complex networks sampling. However, reducing the input data size is still a considerable topic to increase the efficiency and speed of this algorithm. …”
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Multisensor-Weighted Fusion Algorithm Based on Improved AHP for Aircraft Fire Detection by Rui Wang, Yahui Li, Hui Sun, Kaixin Yang

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Ion-Pair Complex of Trimethoprim with Alizarin Yellow and its Determination and Extraction by LLE and DLLME by Araf I. Jabbar, Mohammed Z. Thani, Ali I. Khaleel

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Integrating Proteomics and GWAS to Identify Key Tissues and Genes Underlying Human Complex Diseases by Chao Xue, Miao Zhou

“…Background: The tissues of origin and molecular mechanisms underlying human complex diseases remain incompletely understood. Previous studies have leveraged transcriptomic data to interpret genome-wide association studies (GWASs) for identifying disease-relevant tissues and fine-mapping causal genes. …”
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Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…However, the complex preparation process makes it difficult to scale up. …”
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Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform by Zuoxun Wang, Liqiang Xu

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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits by Anthony Bernard, Juliette Bénéjam, Morgane Roth, Fabrice Lheureux, Elisabeth Dirlewanger

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Insights into the Silver Camphorimine Complexes Interactions with DNA Based on Cyclic Voltammetry and Docking Studies by Joana P. Costa, Gonçalo C. Justino, Fernanda Marques, M. Fernanda N. N. Carvalho

“…The formation of a light grey product adherent to the Pt electrode in the case of {Ag(OH)} and {Ag₂(µ-O)} complexes further corroborates the interaction of the complexes with CT-DNA detected by CV. …”
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Construction and validation of a test for the assessment of psychological complexes based on Jungian analytical psychology by Mohammad Khorsandi, Fatemeh Golshani, Fariba Hassani, Roya Koochak Entezar

“…Also, the correlation coefficient of the complex questionnaire with the list of positive and negative psychological emotions showed its desired criterion (simultaneous) validity. …”
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An investigation of organizational structure in selected hospitals of Tehran and its relationship with hospital performance indicators by B nejati zarnaqi, H Mohammad Ebrahimi, O khalilifar, S Shahraki

“…The data were analyzed by Mann-Whitney test, Kruskal-Wallis test, and Spearman correlation coefficients using SPSS software. Results: According to our results, among the dimensions of organizational structure, the complexity was in midrange, while centralization and formalization were in the high level. …”
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Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy by Antonio Cedillo-Hernandez, Lydia Velazquez-Garcia, Manuel Cedillo-Hernandez, Ismael Dominguez-Jimenez, David Conchouso-Gonzalez

“…Watermark bits are embedded selectively in blocks with high perceptual masking using a QIM strategy, and the corresponding DCT coefficients are estimated directly from the spatial domain to reduce complexity. …”
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Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…Abstract Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and challenging than traditional binary change detection tasks. …”
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A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

“…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…This research introduces a new model that leverages machine learning (ML) and deep learning (DL) to enhance detection effectiveness and ensure reliability. The approach optimizes data preprocessing by integrating SMOTE for effective data balancing and Pearson’s Correlation Coefficient (PCC) for feature selection. …”
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