Investigation of retinal microcirculation alterations following carotid artery angioplasty and stenting using optical coherence tomography angiography by Zehui Shi, Chunqiong Dong, Hanfei Tang, Hanfei Tang, Daqiao Guo, Daqiao Guo, Xianglian Li, Bing Xie, Xiao Tang, Xiao Tang, Xiuping Chen

“…A 6 × 6 mm OCTA scan was performed to analyze deep retinal vascular complex (DVC) blood flow density, foveal avascular zone area (FAZA), foveal density within a 300 μm-wide ring surrounding the FAZ (FD-300), and radial peripapillary capillary vessel density (RPC-VD). …”
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Highly efficient variable step-size binary search algorithm for ultra-compact cyclic three-mode converters by Yongchen Wang, Hangming Fan, Zhe Yuan, Junlin Pan, Xiaoyang Liu, Mengfan Cheng, Qi Yang, Deming Liu, Lei Deng

“…The chosen examples of cyclic mode converters serve as typical complex proof-of-concept structures. The simulation results demonstrate that this method not only maintains excellent manufacturability but also enhances design efficiency over three times and exhibits superior performance. …”
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Retinal and choroidal microvascular analysis by swept-source optical coherence tomography angiography in thyroid-associated ophthalmopathy (TAO) and hyperthyroidism without clinica... by Congbi Liang, Jingcheng Liu, Dihao Hua, Tianyue Cao, Yang Meng, Di Xiao, Hongmei Zheng, Zhen Chen, Changzheng Chen, Yishuang Xu

“…Vessel density (VD) of superficial capillary plexus (SCP), deep capillary plexus, radial peripapillary capillary and choriocapillaris (CC), choroidal vascularity index, foveal avascular zone area, macular thickness, macular ganglion cell complex thickness, choroidal thickness (CT), and retinal nerve fibre layer thickness were measured.Results Group A had significantly higher VD of SCP than group C (all p < 0.05), and group B had significantly lower VD of SCP than group C (all p < 0.05). …”
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Technology and understanding of post-fracturing coring in three-dimensional development zone of Fuling shale gas, Sichuan Basin, SW China by Huanquan SUN, Zhiyong LU, Li LIU, Jichao FANG, Aiwei ZHENG, Jiqing LI, Yuqiang ZHANG, Jialin XIAO

“…The results of the fracture tracing in the core sampling area confirm that the current fracturing technology can essentially achieve the differential transformation of the reservoir in the main area of Jiaoshiba block in Fuling. The three-layer three-dimensional development model can efficiently utilize shale gas reserves, although there is still room for improvement in the complexity and propagation uniformity of fractures. …”
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Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting by Muhammad Abbas, Yanbo Che, Sarmad Maqsood, Muhammad Zain Yousaf, Mustafa Abdullah, Wajid Khan, Saqib Khalid, Mohit Bajaj, Mohammad Shabaz

“…However, existing forecasting models, including statistical approaches and deep learning architectures such as multi-layer perceptron (MLP), struggle to capture complex nonlinear load variations while maintaining computational efficiency. …”
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Microcirculatory and functional changes in the retina and visual channels in multiple sclerosis by E. P. Lantukh, M. V. Zueva, I. V. Tsapenko, O. V. Zaitseva, M. N. Zakharova, N. M. Maglakelidze, T. O. Simaniv

“…A decrease in the thickness of the ganglion cells (GCC) complex correlated highly with reduced microcirculation in the superficial capillary plexus. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Feature extraction was performed with a global average pooling layer, and shallow neural networks were used for final classification. …”
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Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Jinchao Xiao, Jingfeng Yang

“…In conclusion, the automatic scheduling method presented represents a significant advancement in customs logistics, providing a robust solution for managing complex vehicle scheduling scenarios. Future research directions will focus on refining the algorithm to handle peak traffic periods and exploring predictive analytics for enhanced scheduling optimization. …”
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Leaf Morpho-Anatomy of Twelve <i>Cymbidium</i> (Orchidaceae) Species from China and Their Taxonomic Significance by Xiangke Hu, Lei Tao, Jialin Huang, Kaifeng Tao, Dong Ma, Lu Li

“…The mesophyll cells were homogeneous in 10 species, with the exception of a layer of parenchyma cells resembling palisade cells occurring in <i>C. lancifolium</i> and <i>C. qiubeiense</i>. …”
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Urban Built Environment as a Predictor for Coronary Heart Disease—A Cross-Sectional Study Based on Machine Learning by Dan Jiang, Fei Guo, Ziteng Zhang, Xiaoqing Yu, Jing Dong, Hongchi Zhang, Zhen Zhang

“…The relationship between coronary heart disease (CHD) and complex urban built environments remains a subject of considerable uncertainty. …”
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Characteristics of Flux Footprint over Typical Underlying Surface of Qinghai-Xizang Plateau by Zixin WANG, Lei ZHONG, Yaoming MA, Yunfei FU

“…The heterogeneity of the underlying surface affects the accuracy and representativeness of the land-atmosphere flux observation.The study on the flux footprint distribution of complex underlying surface over Qinghai-Xizang Plateau （QXP） is of great significance to the observation and simulation of land-atmosphere interaction and its influence on weather and climate.Flux footprint analysis plays a pivotal role in investigating the spatial representativeness of flux observation information.The Flux Footprint Prediction （FFP） model represents a proficient methodology for computing the flux footprint.Based on the observation data from multiple research stations， including the Qomolangma Atmospheric and Environmental Observation and Research Station， the Ngari Desert Observation and Research Station， the Nam Co Monitoring and Research Station for Multisphere Interactions， the Muztagh Ata Westerly Observation and Research Station， the Southeast Tibet Observation and Research Station for the Alpine Environment in 2013， the FFP model was utilized to investigate the sensitivity of model parameters concerning flux footprint distribution.Additionally， the spatiotemporal characteristics and specific influencing factors of flux footprint distribution at different stations were discussed， thereby providing valuable insights for the erection of future observing stations.The results reveal that the primary determinants of flux footprint are measurement height， wind speed and wind direction.Characterized by an underlying surface of evergreen coniferous forest， flux footprint at Linzhi station exhibits greater sensitivity to measurement height and planetary boundary layer depth compared to the other stations.In the QXP， the spatial extent of the flux footprint derived from the ultrasonic anemometer measurements ranges from approximately 250 m to 500 m.Among the five stations， Qomo station exhibited the lowest frequency of stable stratification times during daytime， representing 15.69% of the daytime data points， whereas Ali station had the lowest occurrence of unstable stratification times during nighttime， comprising for 13.32% of the nighttime data points.At these five stations on the TP， the nocturnal flux footprints demonstrate greater width and extent compared to their daytime counterparts.In summer， due to the influence of monsoon， the axis of flux footprint tends to be more consistent.Lake-land breeze at Nam Co station is the main factor affecting flux footprint， whereas glacier wind at Qomo station is the dominant factor.Linzhi station possesses the smallest footprint due to the smallest mean wind speed， thus demonstrating the highest level of representativeness among these five stations.Lowering the height of observation instruments at Qomo and Nam Co stations could potentially enhance the representativeness of in situ measurements.…”
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HSF-DETR: Hyper Scale Fusion Detection Transformer for Multi-Perspective UAV Object Detection by Yi Mao, Haowei Zhang, Rui Li, Feng Zhu, Rui Sun, Pingping Ji

“…Second, building upon features extracted by HPFNet, we develop MultiScaleNet, which enhances feature representation through dual-layer optimization and cross-domain feature learning, significantly improving the model’s capability to handle complex aerial scenarios with diverse object orientations. …”
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Impact of drainage on peatland soil environments and greenhouse gas emissions in Northeast China by Tao Yang, Jing Jiang, Qiang He, Fengxue Shi, Haibo Jiang, Haitao Wu, Chunguang He

“…Drainage alters peatland soil environments in complex ways, affecting factors such as water table, soil temperature, organic carbon (SOC), pH, and microbial communities. …”
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Nosological and Age and Gender Profile of the Vologda Oblast Population Mortality and the Associated Demographic Losses by A. V. Korolenko

“…Against the background of the coronavirus pandemic, the fact of a high contribution of young age groups (up to 45 years) to mortality from infectious and parasitic diseases is of great concern due to the likelihood of a sharp increase in the scale of human losses as a result of the layering of new premature deaths due to the consequences of COVID-19. …”
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Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information by Joshua W. Joseph, Evan L. Leventhal, Anne V. Grossestreuer, Matthew L. Wong, Loren J. Joseph, Larry A. Nathanson, Michael W. Donnino, Noémie Elhadad, Leon D. Sanchez

“…De‐identified triage information included structured (age, sex, initial vital signs) and textual (chief complaint) data, with critical illness (mortality or ICU admission within 24 hours) as the outcome. Four progressively complex deep‐learning models were trained and applied to triage information from all patients. …”
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Prophylactic administration of overproducing-abscisic acid Bacillus licheniformis attenuated DSS-induced colitis in mice by regulating the gut microbiota and immune activity by Zeyan Xu, Lijiang Zhao, Mengting Wu, Anqi Cui, Wei Chen, Guohao Zheng, Jingyi Zhou, Daqing Gao, Ruihua Shi

“…Abstract Background Inflammatory bowel disease (IBD) involves the complex interplay among the mucosal barrier, microbiota, immunity and genetic factors. …”
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Development of a Widely Accessible, Advanced Large-Scale Microfluidic Airway-on-Chip by Brady Rae, Gwenda F. Vasse, Jalal Mosayebi, Maarten van den Berge, Simon D. Pouwels, Irene H. Heijink

“…On-chip microfluidics are advanced in vitro models that simulate lung tissue’s native 3D environment more closely than static 2D models to investigate the complex lung architecture and multifactorial processes that lead to pulmonary disease. …”
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Spatial and Temporal Characterization of Near Space Temperature and Humidity and Their Driving Influences by Wenhui Luo, Jinji Ma, Miao Li, Haifeng Xu, Cheng Wan, Zhengqiang Li

“…This region is susceptible to surface and upper atmospheric disturbances, and the atmospheric temperature and humidity profiles can finely characterize its complex environment. To analyze the relationship between changes in temperature and humidity profiles and natural activities, this study utilizes 18 years of temperature and water vapor data from the TIMED/SABER and AURA/MLS instruments to investigate the variations in temperature and humidity with altitude, time, and spatial distribution. …”
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The diagnostic ability of peripapillary vessel density in primary open-angle glaucoma suspects by Lifang Liu, Yongdong Lin, Xiaoqin Xie, Jie Peng, Chukai Huang, Di Ma, Mingzhi Zhang

“…In the GS group, OCTA measurements of pVD (superior, inferior, nasal, temporal, and global), OCT measurements of retinal nerve fiber layer (RNFL) thickness, disc area, rim area and ganglion cell complex (GCC) thickness were examined. …”
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Intelligent recognition method for personnel intrusion hazardous area in fully mechanized mining face by Qinghua MAO, Jiao ZHAI, Xin HU, Yinan SU, Xusheng XUE

“…To address the problem of low accuracy of personnel recognition in fully mechanized mining face, the RFAConv-SE (Squeeze-and-Excitation with Receptive-Field Attention Convolution) and CCNet (Criss-Cross Attention Network) attention modules are introduced on the basis of the YOLOv8s model to improve the capture ability of the model for global and contextual information in complex background images. The multi-scale and small target personnel feature extraction ability of the model is improved by fusing the Res2Net network through the C2f module. …”
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