End-of-life hospitality? A preamble for supply-side notions of suicide tourism by Aaron Tham, Hayley Stainton

“…Implications: End-of-life hospitality necessitates a timely and coordinated approach to its undertaking, as there is still a significant variation of medically assisted dying globally. Having an integrated and systematic framing of the issues and stakeholders mitigates the likelihood of misuses and abuses of end-of-life experiences and enables all participants to have the necessary assurances to make informed decisions. …”
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Research and simulation of key bending parameters of suitable diameter oil and gas pipeline cleaning robots by DAI Yaonan, HE Xinhu, LIU Ke, YANG Peiyan, ZHANG Jiakang, ZHENG Xiaotao, GONG Cheng

“…ObjectiveTo improve the internal (variable diameter, bending) passage ability of oil and gas pipeline cleaning robots, a multi-segment adaptive wheel-type pipeline cleaning robot was proposed.MethodsThe robot was designed with a two-segment structural configuration to reduce its turning radius. …”
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Multiscale Pore Architecture and Its Influence on Porosity, Permeability, and Fluid Flow in Tight Gas Reservoirs of the Shihezi H8 Formation, Ordos Basin by Muhammad Toseef Adnan, Guishan Zhang, Bin Chang, Hu Wei, Ren Peng, Wang Chang, Liang Wang

“…The optimized insights from this integrated study provide a framework to guide development strategies and field appraisal methods for maximizing recovery from unconventional tight gas formations.…”
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Differences in Coronary Heart Disease and Stroke Incidence Among Single‐Race and Multiracial Asian and Pacific Islander Subgroups in Hawaii and California: A Retrospective Cohort S... by Yihe G. Daida, Ana Gabriela Rosales, Timothy B. Frankland, Adrian Matias Bacong, Beth Waitzfelder, Jiang Li, Joseph Keawe'aimoku Kaholokula, Latha Palaniappan, Stephen P. Fortmann

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Depth-aware unpaired image-to-image translation for autonomous driving test scenario generation using a dual-branch GAN by Donghao Shi, Donghao Shi, Donghao Shi, Chenxin Zhao, Chenxin Zhao, Chenxin Zhao, Cunbin Zhao, Cunbin Zhao, Cunbin Zhao, Zhou Fang, Zhou Fang, Zhou Fang, Chonghao Yu, Chonghao Yu, Chonghao Yu, Jian Li, Jian Li, Jian Li, Minjie Feng, Minjie Feng, Minjie Feng

“…Experimental results demonstrate that DAB-GAN outperforms existing unpaired image-to-image translation methods, achieving superior visual fidelity and maintaining depth-aware structural integrity. …”
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Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort s... by Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…Abstract Background This study aims to develop and validate a multi-modal machine learning model for preoperative risk stratification in papillary thyroid carcinoma (PTC), addressing limitations of current systems that rely on postoperative pathological features. Methods We analyzed 974 PTC patients from three medical centers in China using a multi-modal approach integrating: (1) clinical indicators, (2) immunological indices, (3) ultrasound radiomics features, and (4) CT radiomics features. …”
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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Abstract Background Variation in perioperative care persists globally. …”
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Educational Interventions to Promote Self-Regulated Learning in Vocational Schools - A Systematic Review by Mathias Mejeh, Corinne Grieder

“…and (2) What is the quality of these interventions in terms of their impact on promoting SRL?  Methods: To address these questions, we conducted a systematic review of intervention studies focused on fostering SRL in the context of vocational education. …”
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Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network by Jihwan Kim, Youngdo Kim, Hyo Seung Lee, Eunseok Seo, Sang Joon Lee

“…However, existing phase retrieval methods have technical limitations in 3D morphology reconstruction from single-shot holograms of biological cells. …”
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Using EEG technology to enhance performance measurement in physical education by Zhaofeng Zhai, Zhaofeng Zhai, Lu Han, Wei Zhang

“…Traditional approaches often fail to provide real-time, objective insights into individual variations in mental health symptom responses.MethodsTo address these gaps, we propose an Adaptive Physical Education Optimization (APEO)model integrated with EEG analysis to monitor and optimize the mental health symptom impacts of physical education programs. …”
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Cross-Domain Feature Fusion Network: A Lightweight Road Extraction Model Based on Multi-Scale Spatial-Frequency Feature Fusion by Lin Gao, Tianyang Shi, Lincong Zhang

“…Existing road extraction methods primarily leverage spatial domain features of remote sensing images, often neglecting the valuable information contained in the frequency domain. …”
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Face Anti-Spoofing Based on Adaptive Channel Enhancement and Intra-Class Constraint by Ye Li, Wenzhe Sun, Zuhe Li, Xiang Guo

“…To address these issues, we propose a jointly optimized framework integrating the Enhanced Channel Attention (ECA) mechanism and the Intra-Class Differentiator (ICD). …”
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RDW-YOLO: A Deep Learning Framework for Scalable Agricultural Pest Monitoring and Control by Jiaxin Song, Ke Cheng, Fei Chen, Xuecheng Hua

“…Due to target diversity, life-cycle variations, and complex backgrounds, traditional pest detection methods often struggle with accuracy and efficiency. …”
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Analyzing meteorological risks to highway infrastructure in Saskatchewan by Monirul Islam, Golam Kabir, Muhammad Rehan Anis

“…Seasonal variations were also addressed by generating separate risk layers for winter and summer conditions. …”
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Water hammer protection and pump-valve linkage optimization for combined pump-pressurized and gravity flow water delivery systems by Xuyun Chen, Jian Zhang, Xiaodong Yu

“…Combined pump-pressurized and gravity flow are increasingly relevant in large-scale water delivery methods, yet the transient control strategies for such integrated configurations remain insufficiently addressed. …”
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CLMT: graph contrastive learning model for microbe-drug associations prediction with transformer by Liqi Xiao, Junlong Wu, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…By integrating multi-view contrastive learning and Transformer-based encoding, CLMT effectively mitigates data sparsity issues, significantly outperforming existing methods. …”
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Eco-cultural perspectives on plant diversity and NDVI in mountain pastures: a comparative study of Finail Valley (Italy) and Vercenik Valley (Turkey) by Oguz Kemal Basar, Emin Ugurlu, Camilla Wellstein

“…The findings highlight the significance of integrating traditional ecological knowledge with remote sensing and ecological field methods to support sustainable pasture management and inform alpine policy frameworks. …”
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<p><strong>Seasonal activity and spatial distribution pattern of <em>Eotetranychus frosti</em> (Acari: Tetranychidae) </strong><strong>in an unsprayed apple orchard of Kermanshah,... by Maryam Darbemamieh, Yaghoub Fathipour, Karim Kamali

“…On each sample date 130 leaves were selected, with a relative variation of 4.31%. Different methods of indices of dispersion, regression models (Taylor and Iwao), Morisita’s index and Lloyd’s mean crowding to mean was used to determine the spatial distribution pattern of this mite. …”
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Molecular Marker Techniques and Genotypic Characterization Approaches in Plant Breeding by İsmail Karakaş

“…Because there are multiple steps required in producing new plant varieties, including hybridization, selection, and testing, the process of creating a new variation takes several years. However, it is important to rapidly develop plant varieties with desirable characteristics to meet the increasing food demand of the rapidly growing world population, so the application of biotechnological methods integrated into plant breeding and combined with traditional methods can help reduce food shortages. …”
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Hybrid sequence learning with interpretability for multi-class quality prediction in injection molding by Varathorn Punyangarm, Supatchaya Chotayakul

“…Ensuring consistent quality in injection molding remains a critical challenge due to dynamic process variations and the limitations of traditional rule-based inspection methods. …”
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