Reorientation of hydraulic fractures and stress-shadow effect in double-well fracturing of hydrocarbon reservoirs: 3D numerical model and analysis by Yang Ju, Yang Li, Yongming Yang, Yongliang Wang

“…In this study, based on the geological information from the Shengli oilfield, we applied a hybrid finite element-discrete element method to analyze engineering-scale three-dimensional fracture propagation and reorientation by altering well spacings and fracturing strategies. …”
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Accuracy of segment anything model for classification of vascular stenosis in digital subtraction angiography by Vagner Navasardyan, Maria Katz, Lukas Goertz, Vazgen Zohranyan, Hayk Navasardyan, Iram Shahzadi, Jan Robert Kröger, Jan Borggrefe

“…Its ability to deliver rapid and consistent evaluations may contribute to earlier detection of disease and the optimization of treatment strategies. …”
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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…Existing methods often inadequately address these issues, highlighting the need for a more effective solution. …”
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Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming by Afif Saifuddin, Wiratmoko Ardan, Nugroho Andri Prima, Okayasu Takashi, Sutiarso Lilik

“…The calibration result is analyzed using statistical methods such as MAPE. The system will apply various advanced analysis techniques such as time domain, frequency domain, and machine learning methods. …”
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Cloning, expression of carboxylesterase BioH and improvement of its hydrolysis activity by directed evolution by XU Hongna, YU Hongwei

“…It shows great significance to get the protein and optimize its functions.In this study, BioH gene from E. coli K12 was cloned into pET30a (+) using double digestion method by Bam HI and Hind Ⅲ and was overexpressed in E. coli BL21 (DE3) induced by isopropyl-β-D-thiogalactoside (IPTG). …”
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Route of Application and Dose Evaluation of Dental Pulp Stem Cells for the Treatment of Sialadenitis Caused by Sjögren’s Syndrome: A Preclinical Study by Zhihao Du, Lifang Feng, Yu Zhang, Xin Peng, Shan Zhang, Rui Zhao, Jia Lei, Xiaotong Li, Guangyan Yu, Chong Ding

“…Tumor necrosis factor-alpha (TNF-α) and interferon-gamma (IFN-γ) in the glandular tissues were also quantitatively detected. <b>Results:</b> Compared with untreated and PBS-injected controls, different-dose groups of the two administration methods showed an increased saliva flow rate of <i>NOD</i> mice to varying degrees, reduced infiltration of lymphocytes and CD4⁺ T cells in the SMG, and decreased IFN-γ/TNF-α levels. …”
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Multipotent mesenchymal stromal cell therapy for a neonate with congenital diaphragmatic hernia and adhesive small bowel obstruction by Şükran Yıldırım, Aliye Kandırıcı

“…Although MSC treatment is very promising for pulmonary hypoplasia and adhesive small bowel disease of congenital diaphragmatic hernia, much more needs to be learned about potential side effects, appropriate dosage, and the optimal method of administration. …”
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Inhibiting the Production of Polychlorinated Organic Pollutants in the Hydrolysis Oxidation Process of 1,2-Dichlorobenzene by Yuqing Li, Bisi Lv, Na Li, Yingjie Li, Wenjie Song, Jiahui Zhou

“…The hydrolysis oxidation of 1,2-chlorobenzene (1,2-DCB) over Pd-Ti-Ni/ZSM-5(25) catalysts has been investigated as a safe and environmentally friendly method for the removal of chlorinated aromatic organic compounds. …”
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Changes in the Recovery Efficiency, Nutritional and Safety Quality of Dried Sergestid Shrimp (Acetes species) during Commercial Production by Ngoc Duc Vu, Nguyen Hong Khoi Nguyen, Thanh Truc Tran, Tran Bach Long, Lam Van Tan, Tran Thi Yen Nhi

“…The sun-dried method is popular for producing dried Sergestid shrimp in Vietnam, but maintaining consistent product quality across seasons is challenging due to its dependence on weather conditions. …”
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Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…ConclusionGiven the current emphasis on multi-technology integration in digital modeling with 3D spatial visualization for pipelines, developers should select appropriate methods based on specific requirements to ensure the applicability of their systems. …”
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Effects of 8-week complex and resistance training on strength and power in adolescent long jumpers by Xiang Shen, Han Li, Kui Yan, Shasha Zhang, Linan Li

“…The combination of resistance and plyometric exercises in complex training leads to better performance outcomes, making it an optimal training method for long jumpers.…”
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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…The results indicate the optimal efficiency of the proposed analysis method. …”
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Some Aspects of the Accommodative Function Condition and Binocular Vision in Adult Patients with Hypermetropia, with Complex Hypermetropic and Mixed Astigmatism by O. A. Klokova, S. N. Sakhnov, O. A. Shelikhova, M. S. Geydenrikh

“…A significant percentage of detected latent sensory-motor disorders determines the need for a detailed study of these functions to choose the optimal correction method.…”
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Majority clustering for imbalanced image classification by Keshav Sharma, Jyoti Arora, Pooja Kherwa, Zainab Alansari

“…The proposed technique, Majority Clustering for Imbalanced Image Classification (MCIIC) improves the traditional binary classification problems by converting it into multi-class problem, thereby creating the more balanced classification solution to the problems where one need to detect rare samples present in the dataset. By utilizing the elbow method, we determine the optimal number of clusters for the majority class and assign each cluster a new class label. …”
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Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts by Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola

“…To accurately and efficiently handle recurring concepts with minimum computational overheads, we propose a novel and evolving ensemble method called Recurrent Adaptive Classifier Ensemble (RACE). …”
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Application of Glass Fiber-Based N-Doped Titania under Visible-Light Exposure for Photocatalytic Degradation of Aromatic Pollutants by Wan-Kuen Jo, Seung-Ho Shin, Ho-Hwan Chun

“…Flexible glass fiber-supported nitrogen-doped titanium dioxide (GF-N-TiO2) photocatalysts with different N/Ti ratio were prepared using a dip-coating method followed by a low-temperature heat-treatment process. …”
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Mo-Doped Co₃O₄ Nanostructures for Enhanced N-Butanol Sensing Performance by Yanping Chen, Guangfeng Zhang, Jing Ren, Haoyang Xu, Yonghui Jia

“…In this work, Mo-doped Co₃O₄ nanostructures were synthesized through a simple solvothermal method. To characterize the structures of the pure Co₃O₄ and Mo-doped Co₃O₄ samples, a variety of analytical techniques, such as XRD, SAED, TEM, SEM and XPS, were utilized. …”
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Double-reverse-signal ratiometric fluorescence probe for residual determination of chlorpyrifos pesticide in surface water based on scalable upcycling of rice straw to luminescent... by Rania El-Shaheny, Lateefa Al-Khateeb, Mahmoud El-Maghrabey, Galal Magdy, Heba M. Hashem

“…A smart, green, practical, and simple method has been developed for the preparation of blue emissive carbon dots (RS-CDs). …”
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Creating Chemiluminescence Signature Arrays Coupled with Machine Learning for Alzheimer’s Disease Serum Diagnosis by Biyue Zhu, Yanbo Li, Shi Kuang, Huizhe Wang, Astra Yu, Jing Zhang, Jun Yang, Johnson Wang, Shiqian Shen, Xuan Zhai, Jiajun Xie, Chongzhao Ran

“…Finally, we employed the top 12 array to conduct tests on serum samples and utilized machine learning methods to optimize detection performance. We successfully distinguished AD serums, achieving the highest area under the curve of 90.24% with the random forest method. …”
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AFENet: An Attention-Focused Feature Enhancement Network for the Efficient Semantic Segmentation of Remote Sensing Images by Jiarui Li, Shuli Cheng

“…Experimental results across diverse scenarios demonstrate that AFENet achieves superior performance in building structure detection, exhibiting enhanced segmentation connectivity and completeness compared to state-of-the-art methods.…”
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