Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…Field validation, which was conducted at randomly generated locations within the relevancy map, yielded an accuracy of 98.33%. …”
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Reconstruction for Time-Domain In Vivo EPR 3D Multigradient Oximetric Imaging—A Parallel Processing Perspective by Christopher D. Dharmaraj, Kishan Thadikonda, Anthony R. Fletcher, Phuc N. Doan, Nallathamby Devasahayam, Shingo Matsumoto, Calvin A. Johnson, John A. Cook, James B. Mitchell, Sankaran Subramanian, Murali C. Krishna

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Comprehensive evaluation of the properties of camel bone gelatin: impact of the duration of pre-treatment and extraction by Meriem Imelhayene, Abdelkader Adamou, Samira Becila, Ayad Redjeb, Dahia Saidj, Abdelhakim Senoussi, Dimitris Sarris, Eleni Naziri

“… Background: The growing interest in innovative uses for slaughter by-products from camels could generate added value from this multipurpose animal. …”
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Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach by Pei Yang, Zeao Zhang, Jianan Wei, Lisha Jiang, Liqian Yu, Huawei Cai, Lin Li, Quan Guo, Zhen Zhao

“…Conclusion We propose a novel DL-based CT-free AC approach for cardiac SPECT, which can generate AC images without the need for a CT scan. …”
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Quantification of Volatile Acetone Oligomers Using Ion-Mobility Spectrometry by Tobias Hüppe, Dominik Lorenz, Felix Maurer, Tobias Fink, Ramona Klumpp, Sascha Kreuer

“…The calibration reference was pure acetone vaporized by a gas generator at concentrations from 5 to 45 ppbv (parts per billion by volume). …”
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Exploring the Impact of Homophily Attitude, Physical, and Social Attractiveness on Purchase Intentions by Honya Ghasemi, Ramin Bashir Khodaparasti, Hooshmand Bagheri Garbollagh

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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis by Hantian Dong, Biaokai Zhu, Xiaomei Kong, Xuesen Su, Ting Liu, Xinri Zhang

“…Results Four primary clinical imaging features in HRCT images, with a total of more than 1700 regions of interest (ROIs), were annotated, augmented, and used as a training set for tenfold cross-validation to generate the model. We selected DenseNet-Attention Net as the optimal model through assessing the performance of different classification algorithms, which yielded an average area under the ROC curve (AUC) of 0.98, and all clinical imaging features were classified with an AUC greater than 0.92. …”
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Extent, Distribution, and Causes of Soil Acidity under Subsistence Farming System and Lime Recommendation: The Case in Wolaita, Southern Ethiopia by Fanuel Laekemariam, Kibebew Kibret

“…A soil pH map, which is generated using geospatial analysis, demonstrates that 3.3, 78.0, and 18.7% of the total area were under strongly acidic, moderately acidic, and neutral soil reactions, respectively. …”
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Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes by Subin Lee, Alexander Giesen, Dimitrios Mouselimis, Loris Weichsel, Andreas A. Giannopoulos, Max Nunninger, Matthias Renker, Florian André, Norbert Frey, Grigorios Korosoglou

“…The number of high-risk plaques per patient provided the most robust prediction of the primary endpoint (HR = 2.74, 95%CI = 1.56–4.80, p < 0.001), whereas the composite CCTA score outperformed all other parameters (HR = 1.54, 95%CI = 1.19–1.98, p < 0.001). The Agatston score, CAD-RADS and high-risk plaque features may provide complementary prognostic information in patients with CCS. …”
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The Art and life of Alàgbà Fálétí – A Pic torial, Art and Artifacts Exhibition in Honor of Alàgbà Adébáyọ̀ Fálétí (1921- 2017) curated by Akinsola Adejuwon and Seyi Ogunjobi... by Akinsola Adejuwon

“… Alàgbà Adébáyọ Fálétí to generations both in “town and gown” is a Yorùbá ̀ iconic cultural statement. …”
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Impact of tumor position displacement during end-exhalation breath-hold condition on tumor dose in lung stereotactic body radiation therapy using volumetric modulated arc therapy by Tatsuya Kamima, Shunsuke Moriya, Takeji Sakae, Hikaru Miyauchi, Yasushi Ito, Kenji Tokumasu, Yasuo Yoshioka

“…VMAT-SBRT plans (3D dose) were generated using treatment planning CT images (reference CT) acquired during end-exhalation breath-hold. …”
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Enhancing doctor-patient communication using large language models for pathology report interpretation by Xiongwen Yang, Yi Xiao, Di Liu, Yun Zhang, Huiyin Deng, Jian Huang, Huiyou Shi, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, WeiJuan Tang, Chuan Xu

“…The study also found that patients scored higher on understanding levels when provided with AI-generated reports, from 5.23 points to 7.98 points (P < 0.001), with the use of IPRs. indicating an effective translation of complex medical information. …”
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Utilisation of Rosehip Waste Powder as a Functional Ingredient to Enrich Waffle Cones with Fibres, Polyphenols, and Carotenoids by Alexandra Raluca Borşa (Bogdan), Adriana Păucean, Melinda Fogarasi, Floricuța Ranga, Andrei Borșa, Anda Elena Tanislav, Vlad Mureșan, Cristina Anamaria Semeniuc

“…The solid waste generated from processing rosehip fruits into jam is valuable due to its rich content in fibres, polyphenols, and carotenoids; it could be valorised as a functional ingredient in a powder form to enrich food products. …”
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Investigating the Asymmetric Relationship between Investor Sentiments and Fluctuations in the Overall Index via the Markov Switching Method by keyvan Shahab Lavasani, Leila Shabani Rezvani, Mohammad Ebrahim Samavi

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Painting a portrait: Analysis of national health survey data for cancer genetic counseling by Monica H. Stamp, Ora K. Gordon, Christopher P. Childers, Kimberly K. Childers

“…Reason for (eg, doctor recommended) and focus of (eg, breast/ovarian) genetic counseling were also assessed. To generate nationally representative estimates, all analyses were adjusted for survey weights. …”
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Influence law and control mechanism of coal seam permeability on coal and gas outburst by Chaolin ZHANG, Mingliang LIU, Enyuan WANG, Peizhong WANG, Qiaozhen JIANG, Wei ZENG

“…The shock wave generated by the outburst two-phase flow migration exhibits a phased evolution characteristic. …”
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Assessing One Health integration in Somalia’s school curriculum for future pandemic preparedness by Ahmed Abdulkadir Hassan-Kadle, Aamir Muse Osman, Abas Mohamed Sharif

“…Among the 53 Somali teachers surveyed, there was moderate awareness (47.2%) and limited implementation (24.5%) of OH concepts, despite widespread support (98.1%) for integration. Challenges such as inadequate OH training and resources (86.8%) were cited, while 96.2% emphasized the importance of interdisciplinary collaboration. …”
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Particulate matter emission in agricultural biomass residue combustion by M.G. Nugraha, A. Sharfan, V.S.Y. Prakoso, M. Hidayat, H. Saptoadi

“…Meanwhile, the utilization of closed combustion systems has been demonstrated to decrease the emission factor within the range of 0.37 to 1.98 grams of particulate matter per kilogram of biomass. …”
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Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms by Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Ramin Jaberi, Reza Ghaderi, Bahram Mofid, Farzad Taghizadeh-Hesary

“…First, BT needles segmentation was accomplished through a pix2pix Generative Adversarial Neural network (pix2pix GAN). …”
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Joint effect of modifiable risk factors on Parkinson’s disease: a large-scale longitudinal study by Panlong Li, Xirui Zhu, Min Liu, Yanfeng Wang, Chun Huang, Junwei Sun, Shan Tian, Yuna Li, Yuan Qiao, Junting Yang, Shanshan Cao, Chaohua Cong, Lei Zhao, Jingjing Su, Dandan Tian

“…Risk scores of each domain for each participant were generated. The joint effects of modifiable and genetic risks assessed using Cox proportional hazards model. …”
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