Hematological parameters and immune response characteristics in canine chlamydiosis by V. V. Bisiuk, O. Ye. Galatiuk, V. L. Behas, Т. О. Romanishina, A. R. Lakhman

“…Clinical examinations assessed appetite, behavior, body condition, spatial positioning, tail and ear posture, gaze, coat and skin condition, pupil size, mucous membranes, dental arcade, respiratory movements, body temperature, and heart rate. Hematological parameters were measured using the MicroCC-20 plus analyzer. …”
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INTER-ILEAL-ABDOMINAL DISSECTION IN THE TREATMENT OF PATIENTS WITH LOCALLY ADVANCED BONY AND SOFT TISSUE SARCOMAS by V. A. Derzhavin, V. Yu. Karpenko, A. V. Bukharov, M. V. Ivanova

“…The overall 5-year survival rate of patients treated in the clinic by the treatment was 40%. …”
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Comprehensive surveillance and molecular detection of the Nipah virus in fruit bats (Pteropus vampyrus) across Indonesia: Insights from 2023 to 2024 by Reviany V. Nidom, Setyarina Indrasari, Dhani Prakoso, Astria N. Nidom, Balqis Afifah

“…Background and Aim: The Nipah virus (NiV), a highly pathogenic zoonotic paramyxovirus, presents a severe public health threat due to its high case fatality rate and potential for human-to-human transmission. …”
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A Comparative Study of Conventional Pap Smear and Liquid‐Based Cytology by Kldiashvili Ekaterina, Khuntsaria Irakli, Kekelia Elene, Mamiseishvili Ana, Abuladze Mariam

“…LBC showed a higher rate of satisfactory smears and better detection rates for negative for intraepithelial lesion or malignancy—NILM (89.4% vs. 80.3% for conventional Pap smear). …”
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Investigating the cost of mechanized unpaved road maintenance operations in Uganda by Obeti, Andrew Moses, Byaruhanga, Chris Bic, Muhwezi, Lawrence, Kakitahi, John Muhumuza

“…A USD to Ugx conversion rate of 3,800 was used. Two linear regression cost models with a 0.679 and 0.687 R 2 value were computed, and these can be used in preliminary road maintenance cost prediction. …”
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Analysis of Technologies for Applying High-Entropy Coatings by Physical Deposition Method by K. N. Polityko, I. V. Kolesnikov, D. S. Manturov

“…The conditions of existence of cathode spots, the influence of temperature on the erosion coefficient, and processes on the anode and substrate were noted. The dependence of the deposition rate on the value of the potential on the substrate was shown. …”
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The relationship between carotenoids and diabetic nephropathy: insights from NHANES by Lei Wang, Tianpu Feng, Ye Tan, Jue Zhang, Ting Zhang, Juan Huo, XiaoXue Song, Xi Lin, Man Li, Wenxue Liang, Qun Ding

“…After a four-stage screening process, baseline participants were selected by excluding individuals with lacking diabetes-related data, pregnant women, and those with incomplete carotenoid intake or DN diagnostic records. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…For example, what was the rate of morphological transformation from Rhynchotrema to Hiscobeccus? …”
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Global perspectives on the biodegradation of LDPE in agricultural systems by Jani E. Mendoza, Daniel Tineo, Beimer Chuquibala-Checan, Nilton Atalaya-Marin, Victor H. Taboada-Mitma, Josué Tafur-Culqui, Ever Tarrillo, Darwin Gómez-Fernández, Malluri Goñas, María Andrea Reyes-Reyes, María Andrea Reyes-Reyes

“…Due to its low recycling rate and slow degradation process, LDPE is a major source of pollution. …”
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“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…However, the cloud radar detects composite information about multiphase particles and lacks temperature data within cloud layers, leading to significant aliasing of phase state characteristics of cloud particles. …”
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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…Mortality was similar in both groups, with a 6.1% mortality rate by 30 days post surgery. The process evaluation found that patients and carers were unable to comment on receiving the intervention. …”
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Multi-Domain Multi-Level Optical Encryption Transmission Scheme Based on Memristor Rulkov Neuron Chaos by Zhiruo Guo, Bo Liu, Jianxin Ren, Qing Zhong, Yaya Mao, Xiangyu Wu, Wenchao Xia, Xiumin Song, Shuaidong Chen, Ying Li, Feng Wang, Yongfeng Wu

“…Among them, the memristor unit constructs a simple discrete map to capture the complex nonlinear neuronal behavior, and the generated masking factors encrypt the data in the digital modulation process. In addition, the proposed scheme introduces the encryption depth control parameters (EDCP), which can make up for the information damage caused by the complexity of encryption. …”
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The ALMA-CRISTAL Survey: Weak Evidence for Star-formation-driven Outflows in z ∼ 5 Main-sequence Galaxies by Jack E. Birkin, Justin S. Spilker, Rodrigo Herrera-Camus, Rebecca L. Davies, Lilian L. Lee, Manuel Aravena, Roberto J. Assef, Loreto Barcos-Muñoz, Alberto Bolatto, Tanio Diaz-Santos, Andreas L. Faisst, Andrea Ferrara, Deanne B. Fisher, Jorge González-López, Ryota Ikeda, Kirsten Knudsen, Juno Li, Yuan Li, Ilse de Looze, Dieter Lutz, Ikki Mitsuhashi, Ana Posses, Monica Relaño, Manuel Solimano, Ken-ichi Tadaki, Vicente Villanueva

“…This result holds for the subsample with the highest star formation rate surface density (Σ _SFR > 1.93 M _⊙ yr ^−1 kpc ^−2 ), but no such broad component is present in the composite of the lower-star-formation-rate density subsample. …”
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A Target to Combat Antibiotic Resistance: Biochemical and Biophysical Characterization of 3-Dehydroquinate Dehydratase from Methicillin-Resistant <i>Staphylococcus aureus</i> by Alfredo Téllez-Valencia, Jesús Oria-Hernández, Adriana Castillo-Villanueva, Erick Sierra-Campos, Mónica Valdez-Solana, Jorge Cisneros-Martínez, Claudia Avitia-Domínguez

“…Moreover, the activity of the enzyme was affected by the presence of ions, surfactants, and chelating agents. The thermodynamic data showed that the rate of inactivation of the enzyme was a temperature-dependent process. …”
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Incorporating the Acclimation of Photosynthesis and Leaf Respiration in the Noah‐MP Land Surface Model: Model Development and Evaluation by Yanghang Ren, Han Wang, Sandy P. Harrison, I. Colin Prentice, Giulia Mengoli, Long Zhao, Peter B. Reich, Kun Yang

“…These two processes systematically acclimate to long‐term environmental changes by adjusting photosynthetic and respiratory traits (e.g., the maximum photosynthetic capacity at 25°C (Vcmax,25) and the leaf respiration rate at 25°C (R25)) following increasingly well‐understood principles. …”
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Enhanced removal of the crystal violet dye from aqueous medium using tripolyphosphate–functionalized Zn–substituted magnetite nanoparticles by Lotfi Ben Tahar, Roaa Mogharbel, Yasmeen Hameed, Adel Noubigh, Mustafa Jaip Allah Abd Elmageed Abualreish, Ahmed Hamad Alanazi, Mohammad Rafe Hatshan

“…Additionally, modeling of the adsorption kinetics data showed that the third order Ritchie (R3) model kinetics mechanism prevails and that the overall rate of the dye adsorption onto Zn–Magn@STPP appeared to be controlled by the chemisorption process. …”
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Influence of redox cyclers on thiol oxidation in the presence of nanoparticles by Н. С. Кавок, Г. В. Дудецька, В. В. Семінько, П. О. Максимчук, В. К. Клочков, Ю. Г. Кот, Ю. В. Нікітченко, O. O. Сєдих

“…Background: An increase in metabolic rate interconnected with oxidative imbalance are major features of tumor process. …”
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Artificial intelligence and anti-cancer drugs' response by Xinrui Long, Kai Sun, Sicen Lai, Yuancheng Liu, Juan Su, Wangqing Chen, Ruhan Liu, Xiaoyu He, Shuang Zhao, Kai Huang

“…It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.…”
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Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China by Zhengtu Li, Yongming Li, Yijun Chen, Jing Li, Shaoqiang Li, Chenglong Li, Ye Lin, Wenhua Jian, Jingrong Shi, Yangqing Zhan, Jing Cheng, Jingping Zheng, Nanshan Zhong, Feng Ye

“…Aspergillosis (56.69%) was the most common PFI, but notably, the incidence rates of Talaromyces marneffei, which used to be considered uncommon, exhibited the most rapid increases. …”
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