Mapping emotional intelligence and job performance: A bibliometric and thematic analysis by Tuan Tat Ho, Hai Phan Thanh, Thai-Ha Nguyen, Thuong Mai Thi

“…Additionally, the study’s findings suggest that the rapid advancement of science and technology, multicultural business environments, and the increasing complexity of workplace crises and conflict resolution underscore the necessity for continued exploration of emotional intelligence and its connection to job performance. …”
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On-Site and Sensitive Pipeline Oxygen Detection Equipment Based on TDLAS by Yanfei Zhang, Kaiping Yuan, Zhaoan Yu, Yunhan Zhang, Xin Liu, Tieliang Lv

“…By adopting a high-precision ADC and a high-resolution pulse-width modulation (PWM), the peak-to-peak value of the laser temperature control noise is reduced to 2 m°C, thereby reducing the detection noise of the sensor. …”
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Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm by Saantosh Saravanan, N. Aravindha Babu, Lakshmi T, Mukesh Kumar Dharmalingam Jothinathan

“…Through the synergy of scientists, clinicians, and policymakers, complexities in the utilization of high-tech solutions to the global effort in oral cancer can be eliminated and access can be paved to better health treatments worldwide.…”
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YOLOv7scb: A Small-Target Object Detection Method for Fire Smoke Inspection by Dan Shao, Yu Liu, Guoxing Liu, Ning Wang, Pu Chen, Jiaxun Yu, Guangmin Liang

“…These difficulties are amplified by the small size and low-resolution nature of fire and smoke targets in images captured from a distance, making it hard for models to extract relevant features. …”
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Calculation of borehole transient electromagnetic apparent resistivity and dip in anisotropic medium by ZHAO Ning, ZHANG Zhaoaoji, JIANG Liming, XIAO Zhanshan, HU Haitao

“…Transient electromagnetic remote detection fills the gap in geological assessment scale of conventional logging and seismic exploration in terms of detection depth and resolution. However，the current theoretical models based on isotropic media do not fully correspond to the actual development environment of most oil and gas fields in China， which is the fact of heterogeneous and anisotropic formations.ObjectivesConsidering the complexity and heterogeneity of subsurface media， it is of great significance to study borehole transient electromagnetic method in anisotropic formations.MethodsBased on borehole transient electromagnetic theory， the relationship between apparent resistivity and apparent dip angle of anisotropic formation borehole is derived through analytical calculation by studying the three component induction data.ResultsThe results indicate that for isotropic media models， the apparent resistivity and apparent dip angle effectively can better reflect the formation resistivity and dip angle within the model. …”
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Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model by Yongqiang Wang, Feng Liang, Shang Wang, Hang Chen, Qi Cao, Haisheng Fu, Zhenjiao Chen

“…However, the majority of these learned image compression (LIC) techniques are primarily CNN-based and transformer-based, often failing to balance the global ERF and computational complexity optimally. To alleviate this issue, we propose a learned remote sensing image compression network with visual state space model named VMIC to achieve a better trade-off between computational complexity and performance. …”
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Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security by Shanthi P, Manjula V

“…Such a combination enables the concurrent utilization of high-resolution spatial context information and rapid frame-wise predictions, thus making it well-suited for continuous video surveillance tasks. …”
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A Spatial Transformation Based Next Frame Predictor by Saad Mokssit, Daniel Bonilla Licea, Bassma Guermah, Mounir Ghogho

“…Notably, our approach significantly reduces the complexity typically associated with such models by requiring the estimation of only 14 parameters per moving object, independent of image resolution. …”
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Zonation of coastal geo-electrostratigraphic units via stratigraphic modified Lorenz plots and rock typing by Ndifreke I. Udosen

“…The characterization of aquifers presents hydrogeophysical challenges due to complexities inherent in their lithology and groundwater flow regimes. …”
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Differential bone and vessel type formation at superior and dura periosteum during cranial bone defect repair by Yuankun Zhai, Zhuang Zhou, Xiaojie Xing, Mark Nuzzle, Xinping Zhang

“…Abstract The cranial mesenchyme, originating from both neural crest and mesoderm, imparts remarkable regional specificity and complexity to postnatal calvarial tissue. While the distinct embryonic origins of the superior and dura periosteum of the cranial parietal bone have been described, the extent of their respective contributions to bone and vessel formation during adult bone defect repair remains superficially explored. …”
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Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

“…Accurate pose determination requires robust algorithms capable of handling these complexities while maintaining reliability under various environmental conditions. …”
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Experience of using unmanned aerial photography systems for mapping the territory of the Russian Federation by S. Nekhin, A. Rubenok

“…The features of photogrammetric processing of remote sensing data obtained with the help of UAS, the need to perform research tests of complexes of technical and software tools for digital aerial photography and photogrammetric processing based on the use of UAS are noted. …”
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A novel 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR. by Haiyan Zhang, Yang Liu, Guoyin Cai

“…However, the extensive imaging range of SAR, coupled with low spatial resolution and the complexity of surface features, results in significant variations in the information expressed by each pixel within the kernel. …”
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Impact of eye fundus image preprocessing on key objects segmentation for glaucoma identification by Sandra Virbukaitė, Jolita Bernatavičienė

“…The variety in images caused by different eye fundus cameras makes the complexity for the existing deep learning (DL) networks in OD and OC segmentation. …”
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TELAAH FUNGSI MAKNA LOGIS PADA CERITA RAKYAT TIMUN EMAS DAN TERJEMAHANNYA by Dimas Adika

“…The data sources are all clause complexes in the Timun Emas folkflore written by the best IKAPI writer and translated into English by the translator of Litte Serambi. …”
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Intraoperative diagnosis of rare pediatric internal hernias: A case series by Spencer E. Kim, William R. Johnston, Rosa Hwang, Gary W. Nace

“…This case series presents three patients with internal hernias of varying etiologies and complexity that were not diagnosed until intraoperative exploration. …”
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Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection by Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali

“…These sensors produce heterogeneous data due to differences in data format, spatial resolution, and environmental responsiveness. Existing review articles on object detection predominantly focus on the statistical analysis of fusion algorithms, often overlooking the complexities of aligning data from these distinct modalities, especially dynamic environment data alignment. …”
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DCT-Based White Blood Cell Image Enhancement for Recognition Using Deep Learning by Anh Quynh Vu, Hoan Quoc Bui, Long Tuan Nguyen, Tuyen Ngoc Le

“…White blood cell (WBC) recognition is still a challenging problem because of the high variability and complexity of blood cell images. Blood cell images can vary in quality, resolution, contrast, illumination, staining, and background. …”
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VMKLA-UNet: vision Mamba with KAN linear attention U-Net by Chenhong Su, Xuegang Luo, Shiqing Li, Li Chen, Juan Wang

“…KAN linear attention substantially mitigates computational complexity while enhancing the model’s capacity to focus on salient regions of interest, thereby facilitating efficient global context comprehension. …”
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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…Second, a Depth-Weighted Hierarchical Fusion Network (DWHF-Net) incorporates depthwise separable convolution to minimize computational complexity while preserving model performance, which is particularly effective for high-resolution SSS image processing. …”
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