Research on risk factors of human stampede in mass gathering activities considering organizational patterns by Ying Lu, Ying Lu, Jingwen Wang, Weihui Dai, Bingxue Zou, Xiaofang Lu, Weisheng Hong

“…However, this issue has not been sufficiently studied, which could lead to cognitive biases in understanding the risks associated with various mass gathering activities, thereby affecting the effectiveness of preventive measures.MethodsThis study investigates the risk factors of human stampede in mass gathering activities, with a particular focus on analyzing the influence of different organizational patterns on these risks and their implications for safety management. …”
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Numerical examination of the chemically reactive MHD flow of hybrid nanofluids over a two-dimensional stretching surface with the Cattaneo–Christov model and slip conditions by Algehyne Ebrahem A., Alamrani Fahad Maqbul, Seada M. M., Saeed Anwar, Bognár Gabriella

“…Keeping these important applications in mind, this work investigates the two-dimensional magnetohydrodynamic hybrid nanofluid flow on shrinking/stretching sheets under the impact of the Cattaneo–Christov model, suction/injection, thermal radiation, and slip effects. The hybrid nanofluid is formed by mixing nanoparticles of copper and alumina with a base fluid. …”
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Empirical Color Correction to MIST and PARSEC Isochrones on Gaia BR − RP and G − RP with Benchmark Open Clusters by Fan Wang, Min Fang, Xiaoting Fu, Yang Chen, Lu Li, Xiaoying Pang, Zhongmu Li, Jing Tang, Wenyuan Cui, Haijun Tian, Chao Liu

“…With our empirical corrections, isochrones provide age estimates consistent with literature values obtained through the spectral lithium depletion boundary method, validating the effectiveness of our approach. The corresponding metallicities with PARSEC 1.2S also show a good agreement with the spectroscopic results. …”
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Smart Traffic Management at Intersections by Gezim Hoxha, Piotr Gorzelanczyk, RameLikaj, Shaban Thaqi, Flori Cikaqi

“… Effective traffic control methods, whether at intersections or other nodes within the road network, play a critical role in ensuring traffic quality and safety. …”

Bridging the gap: a cross-sectional study on biomedical waste management education and compliance in dental institutions of Delhi National Capital Region by Mahesh, Shakila, Hemalata, Kruthiventi, Shanta, Ramya, Vashistha, Urvi, Krishnakumar, Kavya, Arora, Samridhi, Gupta, Alpa

“…Collaboration among healthcare professionals and improved training are vital for effective BMWM practices.…”
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Seabed Liquefaction Risk Assessment Based on Wave Spectrum Characteristics: A Case Study of the Yellow River Subaqueous Delta, China by Hongan Sun, Jishang Xu, Zhenhuan Tian, Lulu Qiao, Zhixing Luan, Yaxin Zhang, Shaotong Zhang, Xingmin Liu, Guangxue Li

“…The China Hydrological Code Spectrum (CHC Spectrum) effectively captured the wave characteristics in the study area, with parameterization grounded in measured data. …”
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MT-SCnet: multi-scale token divided and spatial-channel fusion transformer network for microscopic hyperspectral image segmentation by Xueying Cao, Hongmin Gao, Haoyan Zhang, Shuyu Fei, Peipei Xu, Peipei Xu, Zhijian Wang

“…IntroductionHybrid architectures based on convolutional neural networks and Transformers, effectively captures both the local details and the overall structural context of lesion tissues and cells, achieving highly competitive segmentation results in microscopic hyperspectral image (MHSI) segmentation tasks. …”
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Temporal and spatial pattern analysis and forecasting of methane: Satellite image processing by Fatima Elshukri, Noor Hussam Abusirriya, Nathan Joseph Braganza, Abdulkarem Amhamed, Odi Fawwaz Alrebei

“…This research not only advances the understanding of methane dynamics in arid regions but also illustrates the potential of remote sensing as a cost-effective alternative to traditional data-intensive approaches. …”
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Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model by Xiao Yu, Chengli She, Weimin Zhen, Nava Bruno, Dun Liu, Xinan Yue, Ming Ou, Jisheng Xu

“…The results show good performance of the GIMs-driven-NeQuick model with average 86% of vertical TEC error less than 10 TECU, when the global daily effective ionization indices (Az) versus modified dip latitude (MODIP) are constructed as a second order polynomial. …”
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Star Formation and Magnetic Field Amplification due to Galactic Spirals by Hector Robinson, James Wadsley, J. A. Sellwood, Ralph E. Pudritz

“…We use global MHD galaxy simulations to investigate the effects of spiral arms on the evolution of magnetic fields and star formation within a self-regulated interstellar medium. …”
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Facilitators and barriers to implement community engagement approaches in health promotion projects: A qualitative study in 13 projects in Spain by Viola Cassetti, María Victoria López-Ruiz, Ana Egea-Ronda, Dory Aviñó Juan Ulpiano, Carmen Belén Benedé Azagra

“…Results: Fourteen facilitators were identified, related to internal organization and strategies to work effectively; and seven barriers, related to lack of resources, dependence on external factors and not knowing how to evaluate. …”
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Adaptive Measurement and Parameter Estimation for Low-SNR PRBC-PAM Signal Based on Adjusting Zero Value and Chaotic State Ratio by Minghui Lv, Xiaopeng Yan, Ke Wang, Xinhong Hao, Jian Dai

“…Accurately estimating the modulation parameters of pseudorandom binary code–pulse amplitude modulation (PRBC–PAM) signals damaged by strong noise poses a significant challenge in emitter identification and countermeasure. …”
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Leveraging disruptive technologies for food security: A systematic review on agricultural supply chain resilience to climate change by Budi Harsanto, Yulistyne Kasumaningrum, M. Rifqi Arviansyah, Adiatma YM. Siregar, Dwi Purnomo, Freddy, Yusuf Iskandar, Iston Dwija Utama, Dian Inda Sari

“…This technology helps farmers make better decisions, enables effective and efficient resource management, and increases productivity.…”
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NNHMC: An Efficient Stokes Inversion Method Using a Neural Network (NN) Model Combined with the Hamiltonian Monte Carlo (HMC) Algorithm by Chong Xu, JinLiang Wang, Hao Li, ZiYao Hu, XianYong Bai, JiaBen Lin, Hui Liu, ZhenYu Jin, KaiFan Ji

“…A test on the same hardware and software platform shows a speed increase of up to 2.5 orders of magnitude with respect to the traditional Markov Chain Monte Carlo method (without the NN, using the M-E atmosphere model), establishing the NNHMC method as a highly effective tool for Stokes inversion based on Bayesian inference.…”
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Acceptability of a home-based visual field test (Eyecatcher) for glaucoma home monitoring: a qualitative study of patients’ views and experiences by David F Edgar, David P Crabb, Deanna J Taylor, Pete R Jones, Peter Campbell, Lee Jones, Tamsin Callaghan, Daniel S Asfaw

“…Transcripts were analysed using thematic analysis.Setting Participants were recruited in the UK through an advertisement in the International Glaucoma Association (now Glaucoma UK) newsletter.Participants Twenty adults (10 women; median age: 71 years) with a diagnosis of glaucoma were recruited (including open angle and normal tension glaucoma; mean deviation=2.5 to −29.9 dB).Results All participants could successfully perform VF testing at home. Interview data were coded into four overarching themes regarding experiences of undertaking VF home monitoring and attitudes towards its wider implementation in healthcare: (1) comparisons between Eyecatcher and Humphrey Field Analyser (HFA); (2) capability using Eyecatcher; (3) practicalities for effective wider scale implementation; (4) motivations for home monitoring.Conclusions Participants identified a broad range of benefits to VF home monitoring and discussed areas for service improvement. …”
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Challenges and management of venomous bites and scorpion stings in Lebanon: a qualitative study by Kamil Kadi, Tharwat El-Zahran, Mario Badr, Mohammad Mdaihly, Nesrine Ahmad, Atika Berri, Michelle E. E. Bauer, Samar Al-Hajj

“…Collaborative efforts are essential to enhance awareness, improve antivenom access, standardize treatment protocols, and promote effective management practices.…”
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Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels by Xiaoqiong Qin, Bintao Xu, Chenchen Wang, Lirui Liu, Linfu Xie, Rong Liu, Mingwei Hu, Xiangsheng Chen

“…Furthermore, considering the differences in luminaire brightness, their backgrounds, and regular spacing, an object brightness enhancement method based on a fixed threshold and an innovative distribution-guided optimization strategy are introduced to effectively reducing missed detections and false alarms while accurately correcting the detected luminaire positions. …”
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Korean dose coefficients for external exposures from air contamination by Bangho Shin, Chansoo Choi, Yumi Lee, Ji Won Choi, Yeon Soo Yeom

“…The DCs were calculated using the Geant4 radiation transport code, employing the same calculation methods and phase-space source data used to calculate the DCs in ICRP Publication 144. …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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Toward the calibration of 2D thermomechanical simulations of magma poor passive continental margins: method, validation and case example by Perron, Paul, Le Pourhiet, Laetitia, Jourdon, Anthony, Cornu, Tristan, Gout, Claude

“…Applied to Iberia–Newfoundland margins, the method demonstrates effectiveness in real-case scenarios, aligning with previous reconstructions by incorporating faults and lower crustal flow.…”
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