Oil sources of the Krasnoleninskoe field by K. O. Osipov, M. A. Bolshakova, E. A. Ablya, E. A. Krasnova, R. S. Sautkin, A. A. Suslova, A. G. Kalmykov, M. S. Tikhonova

“…All these formations potentially contain SR layers. The purpose of the article is to determine the sources of oil in the Krasnoleninskoe field by comparing oils with SRs and to determine of the history of oil composition formation. …”
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Geospatial intelligence and multi-criteria analysis for mapping groundwater potential zones and sustainable resource management in Wadi Qena Basin, Eastern Desert, Egypt by El-Taher M. M. Shams, Rashad Sawires, Sahar N. E. Tawfiq, Hanaa R. Youssef, Wenzhao Li, Hesham El-Askary

“…The model's accuracy was confirmed by comparing the obtained groundwater potential map with the available borehole data and daily productivity from the groundwater aquifers within the valley (e.g., ROC curve with AUC = 0.94). …”
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Effectiveness of negative pressure wound therapy in treating deep surgical site infections after spine surgery: a meta-analysis of single-arm studies by Shiwei Ren, Huan Liu, Zhengqi Chang

“…Deep SSIs refer to infections that involve the deeper soft tissues of the incision, such as the fascia and muscle layers. This complication can lead to prolonged hospitalization, repeated surgeries, and even life-threatening conditions. …”
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Mapping the Discourse. Architecture Periodicals in/for the Teaching of Architecture History by Gaia Caramellino, Valeria Casali, Nicole De Togni

“…By dissecting the overall structure of each journal and scrutinizing their constituting elements - including undervalued parts, often considered at the peripheries of the discourse -, the multi-layered study of this printed network brings to the light the interconnections between a constellation of actors and agents involved in the production of knowledge. …”
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The evaluation of the macular and optic nerve head microvasculature in amblyopic and non-amblyopic patients with constant exotropia in comparison to healthy controls by Vahideh Manouchehri, Amir Eftekhari Milani, Raheleh Chegini, Amin Arasteh

“…Objective: To evaluate the retinal microvascular changes in strabismic amblyopia and compare them to the strabismic cases without amblyopia and controls. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…Conclusions MEGDTA is validated on three publicly available benchmark datasets, Davis, KIBA and Metz. A comparative study is conducted with other existing models. …”
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Isotopic composition of oxygen in snow-and-firn thickness on the Eastern peak of Elbrus, the Caucasus by Yu. N. Chizhova, V. N. Mikhalenko, Yu. K. Vasil’chuk, N. A. Budantseva, A. V. Kozachek, S. S. Kutuzov, I. I. Lavrentiev

“…It was revealed that snow layers with extremely low values of δ18О (down to -30 %) found on the eastern slope were absent on the western plateau. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…A sequential model architecture based on bi-directional long short-term memory (Bi-LSTM) layers was utilized. For DL models to predict HF hospitalizations and worsening HF events, we utilized two study designs: with and without a buffer window. …”
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Ultrasound and high frequency equipment efficacy for abdominal obesity reduction in women by Yeo Ju Sohn, Hyejin Chun

“…These consistent reductions in both absolute and relative terms underscore the robustness of the treatment effects on superficial fat layers. However, visceral fat area did not show statistically significant changes (absolute: -1.48 cm²; relative: -1.46%, p > 0.05). …”
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Postoperative Recovery in Thyroid Surgery: Evaluating Pain, Scar Quality, and Operative Efficiency with and without Platysma Suturing by Waqas Ahmad, Muhammad Shahid Farooq, Rana Muhammad Umar Rizwan, Bahzad Akram Khan, Muhammad Usman Siddique, Abdul Haseeb

“… Background: Often, thyroid surgery requires a layered closure, involving the suturing of the platysma muscle. …”
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Choroideremia with Mutation in CHM Gene. Clinical Cases with Literature Review by I. V. Zolnikova, S. V. Milash, V. V. Kadyshev, A. B. Chernyak, D. V. Levina, R. A. Zinchenko, I. V. Egorova, E. A. Eremeeva, S. Y. Rogova

“…High BCVA and subnormal MERG correlated with comparatively preserved foveal structure on OCT. There was the terminal stage of choroideremia: In 39 years old his mother’s sibs BCVA was 0,1 OU, constricted to 5 degrees in both eyes. …”
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The Composition and Stratigraphy of the Chang’e-6 Landing Mare by Pei Ma, Zhiyong Xiao, Yichen Wang, Yunhua Wu, Yizhen Ma, Fanglu Luo, Rui Xu, Qingyun Deng

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Cross-lineage 5-methylcytosine methylome profiling reveals methylated divergence among Toxoplasma gondii tachyzoites of the three major clonal lineages by Xiao-Nan Zheng, Hong-Yu Song, Hany M. Elsheikha, Chen-Ran Tian, Xing Tian, Qing Liu, Wen-Bin Zheng, Xing-Quan Zhu

“…Abstract Background Toxoplasma gondii is a globally widespread zoonotic parasite, infecting nearly one-third of the human population, often leading to chronic, latent infections. Among the emerging layers of gene regulation, 5-methylcytosine (m5C) has emerged as a pivotal post-transcriptional modification in eukaryotes. …”
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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative by Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai

“…Three deep learning unimodal models (InceptionV3, DIKO, and EfficientNetv2) were transformed into multi-modal architectures (MF_InceptionNet, MF_DIKO, and MF_Eff) to compare their diagnostic capabilities. The proposed multi-modal models share a common architecture, with unimodal models acting as image feature extraction backbones and separate embedding layers for demographic data. …”
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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

“…The model incorporates dedicated input pathways: fully connected layers for feature embedding and convolutional operations for high-dimensional feature extraction. …”
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Decoupling Urban Street Attractiveness: An Ensemble Learning Analysis of Color and Visual Element Contributions by Tao Wu, Zeyin Chen, Siying Li, Peixue Xing, Ruhang Wei, Xi Meng, Jingkai Zhao, Zhiqiang Wu, Renlu Qiao

“…Moderate road visibility may increase spatial layering and vibrancy, whereas overly dense building significantly degrades overall aesthetic quality. …”
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A Mobile AR Computer-Aided Diagnosis: 6 DoF Brain Tumor Pose Estimator Using a Fine-Tuned EfficientPose-Based Model by Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati, Shadi Atalla, Wathiq Mansoor, Naeem Ramzan

“…To evaluate the effectiveness of our approach, we employ a layering procedure and compare it with other recent virtual overlay techniques. …”
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Consumers’ acceptance of eggs as a function of hen genotype and rearing system by M. Castrica, G. Scappaticci, C. Balzaretti, R. Piscitelli, F. Sirri, C. Alamprese

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SCUBE3 Is Likely a Susceptibility Gene for Systemic Lupus Erythematosus for Chinese Populations by Yuan-yuan Qi, Ya-fei Zhao, Ya-ling Zhai, Xiao-xue Zhang, Xiao-yang Wang, Xina-ran Liu, Yan Cui, Xiang-hui Ning, Zhan-Zheng Zhao

“…A total of 2801 individuals (490 cases and 493 controls from GWAS cohort and 1003 cases and 815 controls from our cohort) were enrolled, and SNPs located 10 kb up- and downstream of SCUBE3 (chr6:35182190-35218609) were included in the genetic association study. Multiple layers of bioinformatics were conducted, and the levels of SCUBE3 expression were confirmed. …”
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The physiological comparison revealed the importance of focusing anti-oxidation function during the peak laying stage in hens based on multi-omics analysis by Yumeng Wang, Xi Sun, Xiaoying Liu, Chaohui Wang, Zhouzheng Ren, Xin Yang, Xiaojun Yang, Yanli Liu

“…With the increase in egg production rate and the coming of peak laying period, some metabolic disorders usually emerge in layers. The current study was conducted to compare the physiological difference between the early laying stage (around 30% laying rate) and peak laying stage (more than 95% laying rate) of laying hens based on hepatic transcriptome, serum metabolomics and caecal microbiota. …”
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