Observation and Analysis of Deformation Control Performance of Hydraulic Servo Steel Support for a Soft Soil Pit—A Case Study of a Pit Project in Hangzhou by Chao Wang, Gang Lin, Hongliang Yao, Haibin Ding, Xiaolin Tang, Zhaorui Lin, Xuepeng Wang

“…Additionally, adjustments to the axial force of the internal supports affected the axial force of the adjacent supports, with a common occurrence of reverse pulling force in the first-layer supports due to the action of the HSSS. Therefore, further optimization of the HSSS is necessary to enhance control effectiveness.…”
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Current Insights into Weak Seed Dormancy and Pre-Harvest Sprouting in Crop Species by Angel J. Matilla

“…Mutants of Vp-1 exhibit an unpigmented aleurone cell layer and exhibit precocious germination due to decreased sensitivity to ABA. …”
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SPL-YOLOv8: A Lightweight Method for Rape Flower Cluster Detection and Counting Based on YOLOv8n by Yue Fang, Chenbo Yang, Jie Li, Jingmin Tu

“…However, detecting and counting rape flower clusters remains challenging in complex field conditions due to their small size, severe overlapping and occlusion, and the large parameter sizes of existing models. …”
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Deep Learning for Stomatal Opening Recognition in <i>Gynura formosana</i> Kitam Leaves by Xinlong Shi, Yanbo Song, Xiaojing Shi, Wenjuan Lu, Yijie Zhao, Zhimin Zhou, Junmai Chai, Zhenyu Liu

“…Additionally, enhancements to the P2 layer improve the feature extraction and scale adaptation. …”
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Materials for Gas-Thermal Spraying, Obtained by Diffusion Alloying from Powders Based on Austenitic Steels by F. I. Panteleenko, V. A. Okovity, A. F. Panteleenko

“…Creation of single-phase diffusion layers is possible only in the case of a minimum level of temperature-time characteristics during heat treatment. …”
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Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…The neural network model consists of a hidden layer of neurons with a sigmoidal activation function and an output neuron with a linear activation function, the input values of the dynamic time series, and the predicted value is removed from the output. …”
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Experimental and theoretical investigation of zwitterionic surfactant adsorption on calcite for enhanced oil recovery by Armin Bazyari, Abdolnabi Hashemi, Bahram Soltani Soulgani

“…The roles of different electrolytes (MgSO₄ and Na₂SO₄) were compared, showing that Mg²⁺ ions significantly reduced the CMC more effectively than Na⁺ ions due to stronger electrostatic double-layer compression and higher ion charge density. …”
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SoK: A Reality Check for DNP3 Attacks 15 Years Later by Juan David Parra Rodriguez, Kwasi Boakye-Boateng, Ratinder Kaur, Allyson Zhou, Rongxing Lu, Ali A. Ghorbani

“…., list fields at the link, transport, and application layer) without providing the rationale behind protocol features or how the features are used. …”
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Revealing zooplankton diversity in the midnight zone by Carolina E. González, Leocadio Blanco-Bercial, Rubén Escribano, Rubén Escribano, Igor Fernández-Urruzola, Reinaldo Rivera, Osvaldo Ulloa, Osvaldo Ulloa

“…Our study aimed to assess the zooplankton diversity among layers from the upper 1000 m to the ultra-deep abyssopelagic zone to test the hypothesis of decreasing diversity with depth resulting from limited carbon sources. …”
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Caspase-mediated pathways in retinal ganglion cell injury: a novel therapeutic target for glaucoma by Nisha Rajakrishna, Nisha Rajakrishna, Seok Ting Lim, Seok Ting Lim, Xiaomeng Wang, Xiaomeng Wang, Xiaomeng Wang, Tina T. Wong, Tina T. Wong, Tina T. Wong

“…Glaucoma is a complex disease of the optic nerve leading to vision loss and blindness, with high worldwide incidence and disproportionate prevalence in older populations. …”
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Research status of clinicopathologic studies of polypoidal choroidal vasculopathy by LI Miaoling, WEN Feng

“…In conclusion, the pathological features of PCV are complex, showing both similarities to neovascular AMD and characteristics of pachychoroid. …”
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Optimizing photovoltaic thermal systems with ternary hybrid nanofluids: Statistical and regression analysis by Ahmad Ayyad Alharbi, Ali Rashash Alzahrani

“…Atop this block sits a PV panel comprised of glass, a silicon layer, and a copper absorber. The study incorporates three nanomaterials—multi-walled carbon nanotubes (MWCNT), alumina, and copper—suspended in water, each with unique shapes. …”
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Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence by Zhuang Yin, Kun Zhang, ZengBao Zhang, Hongyue Chen, Lingyu Meng, Zhen Wang, Mingchao Du, Xiangpeng Hu, Defu Zhao, Dan Tian

“…Abstract The mining roadways of fully mechanized mining faces are susceptible to complex disturbances, leading to deformation of the surrounding rock, breaking the mechanical balance of the advanced support section of the mining roadway, and potential roof safety incidents and equipment damage. …”
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Optimizing transformer-based prediction of human microbe–disease associations through integrated loss strategies by Rong Zhu, Yong Wang, Junliang Shang, Ling-Yun Dai, Feng Li

“…Microorganisms play an important role in many complex diseases, influencing their onset, progression, and potential treatment outcomes. …”
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Scalable Hierarchical‐Colored Passive Cooling Metapaint for Outdoor Facility by Maiping Yang, Zikang Zhou, Mingxiang Liu, Jiawei Wu, Jiaxin Li, Jun Liang, Shiliang Zhang, Mingyue Chen, Hongtao Zeng, Xiaofeng Li, Hao Han, Chong Hou, Guangming Tao

“…The application of active cooling technology poses challenges due to its high energy consumption, especially in complex outdoor environments. Passive cooling devices with high solar reflection and thermal emission can continuously cool objects under sunlight. …”
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Unlocking Coastal Insights: An Integrated Geophysical Study for Engineering Projects—A Case Study of Thorikos, Attica, Greece by Stavros Karizonis, George Apostolopoulos

“…An integrated geophysical approach aims to address such complex challenges as sea level rise, sea water intrusion, shoreline erosion, landslides and previous anthropogenic activity in coastal settings. …”
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Segmentation Techniques Applied to CNNs for Cervical Cancer Classification by Ana Ortiz-Gonzalez, Raquel Martinez-Espana, Juan Morales-Garcia, Baldomero Imbernon, Jose Martinez-Mas, Mauricio A. Alvarez, Oscar David Romero, Juan Pedro Martinez-Cendan, Andres Bueno-Crespo

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A scaling methodology for the Hybrid-Lambda Rotor – characterization and validation in wind tunnel experiments by D. Ribnitzky, D. Ribnitzky, V. Petrović, V. Petrović, M. Kühn, M. Kühn

“…The strong gradients of axial induction along the blade span lead to complex three-dimensional flow structures, such as an increased radial flow component in the rotor plane. …”
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Individualized surgical treatment using decellularized fish skin transplantation after enzymatic debridement: A two years retrospective analysis by Gerrit Freund, Benedikt Schäfer, Justus P. Beier, Anja M. Boos

“…Over the past few years, treatment of burn injuries has evolved beyond primary surgical therapy with the development of enzymatic debridement and new types of skin replacement materials by providing complex personalized therapy concepts aimed at preserving and replacing the dermal layer of the skin.The aim of our study was to develop an individualized treatment algorithm for mixed depth burn wound and evaluate the outcomes of individualized combined treatment of mixed depth burn wounds with enzymatic debridement and decellularized fish skin.A total of 18 patients with a mean age of 34.8 years and mean follow-up of 447.6 days were included. …”
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CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond by Jinzhong Xu, Junyi Gao, Xiaoming Liu, Guan Yang, Jie Liu, Yang Long, Ziyue Huang, Kai Yang

“…Current methods often fail to effectively harness domain-specific causal insights, which are crucial for understanding and solving complex problems in low-resource domains.To address these challenges, we propose Causality-Aware, Parameter-Efficient Learning (CPEL), a novel framework that leverages domain-specific causal relationships to guide a multi-layer, parameter-efficient fine-tuning process for more effective domain adaptation. …”
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