Exploration of Key Factors in the Preparation of Highly Hydrophobic Silica Aerogel from Rice Husk Ash Assisted by Machine Learning by Yun Deng, Ziyan Sha, Xingxing Wang, Ke Duan, Weijie Xue, Ian Beadham, Xiaolan Xiao, Changbo Zhang

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Research review on improving the efficiency of multimodal transportation based on technological solutions by M. I. Malyshev

“…Based on the theory of controlled networks and integer linear programming methods, the experts developed mathematical models for the distribution of cargo flows, the choice of the most favorable transportation routes, ideal loading of rolling stock, and transportation of goods using the best forwarding algorithm. …”
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Utilizing Novel Modular Static Synchronous Series Compensators for Increased RES Integration and Cross-Border Power Flows by Konstantinos F. Krommydas, Christos-Spyridon G. Karavas, Konstantinos A. Plakas, Edward Hanlon, Efthimia Chassioti, Ioannis Moraitis

“…Furthermore, the M-SSSC can offer real-time, granular control and coordination between multiple deployments is possible, to optimize system power flows.…”
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Maglev Derived Systems: An Interoperable Freight Vehicle Application Focused on Minimal Modifications to the Rail Infrastructure and Vehicles by Jesus Felez, Miguel A. Vaquero-Serrano, William Z. Liu, Carlos Casanueva, Michael Schultz-Wildelau, Gerard Coquery, Pietro Proietti

“…Target speed profiles were precomputed using dynamic programming, while a model predictive control algorithm determined the optimal train state and control trajectories. …”
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Construction Efficiency in Shear Strengthening of Pre-Cracked Reinforced Concrete Beams Using Steel Mesh Reinforced Strain Hardening Cementitious Composites by Sabry Fayed, Mohamed Ghalla, Ayman El-Zohairy, Ehab A. Mlybari, Rabeea W. Bazuhair, Mohamed Emara

“…Applying one, two, or three layers of SMFs within the strengthening layer led to increases of the ratios of 163, 334, and 426%, respectively, in the energy absorbed by the strengthened beams in comparison to the control beam. The shear strength of the strengthened beams was determined through analytical modeling by implementing a correction factor (α = 0.5) to take into consideration the debonding action between the SHCC layer and the beam sides. …”
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3D Printing of chewable oral tablets using drug nanosuspension inks: an experimental and machine learning study by Hang Truong, Nikki Rodriguez, Alperen Abaci, Gulenay Guner, Joshua Young, Ecevit A. Bilgili, Murat Guvendiren

“…3D printing enables precise control over tablet design and drug release, but challenges remain in optimising ink formulation, ensuring printability, and predicting final tablet properties. …”
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Small-Disturbance Stability Analysis of Doubly Fed Variable-Speed Pumped Storage Units by Xiangyang Yu, Yujie Cui, Hao Qi, Chunyang Gao, Ziming He, Haipeng Nan

“…The participation factor enhances flexibility, continuity, and efficiency in doubly fed variable-speed pumped storage by optimizing dynamic power paths and enabling multi-objective control coordination. …”
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Place of preoperative treatment of acromegaly with somatostatin analog on surgical outcome: a systematic review and meta-analysis. by Francisco Pita-Gutierrez, Sonia Pertega-Diaz, Salvador Pita-Fernandez, Lara Pena, Gloria Lugo, Susana Sangiao-Alvarellos, Fernando Cordido

“…We identified 286 studies, out of which 10 studies (3.49%) fulfilling the eligibility criteria were selected for analysis; five retrospective studies with a control group, two prospective non-randomized trials, and three prospective controlled trials. …”
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The Effect of Probiotics on Gut Microbiota Modulation and Its Role in Mitigating Diabetes-Induced Hepatic Damage in Wistar Rats by Alaa Talal Qumsani

“…This study evaluated the hepatoprotective effects of <i>Bifidobacterium bifidum</i> supplementation, both alone and in combination with metformin, in a rat model of diabetes-induced liver dysfunction. Rats were divided into six groups: control, probiotic only, metformin only, diabetic, diabetic with probiotic supplementation, and diabetic with combined probiotic and metformin treatment. …”
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Molecular Docking study, Synthesis and Preliminary Anti-inflammatory and Antimicrobial of New Conjugate of Quinolone-Phenolic Compounds by Tagreed N-A Omar, Shahad R. Abid-Alkhalik

“…In vivo, the anti-inflammatory effect of (IIa-Vb) compounds was estimated using a rat paw edema model and showed good activity for the end compounds IIa and IId, and their anti-inflammatory and antimicrobial effects were subsequently evaluated virtually-molecularly analyzed ; all prepared compounds show-interesting activity compared to the DMSO control group (solvent and control).in vitro, their antibacterial and antifungal activities were evaluated at concentrations: (12.5, 25 ,50 &100) mg. using well diffusion method ,for antibacterial activity compared to the reference drug (ciprofloxacin) the results showed significant activity from (IIa, IIb &IIIb) at 12.5 mg, (IIa, IIb ,IIIa ,IIIb,Iva & Vb) at 25 mg , IIIb at 50 mg in case of gram-negative bacteria (Escherichia coli); and (Staphylococcus aureus) (IIa, IIb &IIIb) at 12.5 mg, (IIa, IIb) at 25 mg , IIIb at 50 mg about gram-positive bacteria ,also they shown significant antifungal activity against (Candida albicans) compared with Fluconazole drug:(IIa, IIb and IVb) at (50 and 100) mg, (IIb) at 25 mg.  …”
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Collaborative quality improvement initiative to enhance adult asthma management by Ramona Sharma, Selina K Brandse, Terri L Riffle

“…The percentage of patients with optimal asthma control also increased from 40.0% (n=120) in February 2023 to 55.2% (n=165) in August 2023 and 66.4% (n=152) in January 2024.Conclusions This quality improvement project led to measurable improvements in asthma care, highlighting the effectiveness of a structured intervention in the primary care setting.…”
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The role of carbonate equilibrium in scale formation of calcium carbonate in a power plant open recirculating system by Pavlo Kuznietsov, Olha Biedunkova

“…The results emphasize the importance of data-driven modeling for optimizing water treatment and reducing operational costs in power plants by reducing CaCO3 scale formation.…”
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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

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Reliability and Quality of Complex Systems by D.N. Novomeisky, M.N. Piganov, E.T. Eskibaev

“…These results can be used when selecting the measuring part of the flare discharge processing control device, in the process of optimizing measurement procedures, as well as as input data for the development of an AIS for technological support of the processing of film structures.…”

Finite element study of the efficacy of three different loops for bodily protraction of the mandibular molar by Aditi Mehta, Alap Shah, Anisha Prasad, Bharvi Jani, Kinnari Shah, Anirudh Kulkarni, Nattapon Chantarapanich, Samroeng Inglam, Mohammad Fareed, Anand Marya

“…Abstract This study aimed to compare three different loops (T loop, Cherry loop, and Open helical loop) and optimal tip back angle (10°, 15°, 20°) for protraction of mandibular second molar using Finite Element Model (FEM). …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

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Rapid human movement and dengue transmission in Bangladesh: a spatial and temporal analysis based on different policy measures of COVID-19 pandemic and Eid festival by Jahirul Islam, Wenbiao Hu

“…Through the selection of an optimal Seasonal autoregressive integrated moving average model, we observed that the closure of public transport (β = − 1.66, P < 0.10) and restrictions on internal movement (β = − 2.13, P < 0.10) were associated with the reduction of dengue incidence. …”
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Clarifying the formation of equiaxed grains and microstructural refinement in the additive manufacturing of Ti-Cu by Alec I. Saville, Adriana Eres-Castellanos, Andrew B. Kustas, Levi Van Bastian, Donald F. Susan, Dale E. Cillessen, Sven C. Vogel, Natalie A. Compton, Kester D. Clarke, Alain Karma, Amy J. Clarke

“…Controlling microstructural evolution in metallic additive manufacturing (AM) is difficult, especially in producing refined as-built grains instead of coarse, directional grains. …”
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Computed Tomography-Based Radiomic Nomogram to Predict Occult Pleural Metastasis in Lung Cancer by Xiaoyi Zhao, Heng Zhao, Kongxu Dai, Xiangyu Zeng, Yun Li, Feng Yang, Guanchao Jiang

“…The optimal integrated model, which combined radiomic scores from the volume of interest (VOI) with the CEA and NLR, demonstrated an improved predictive performance, with AUCs of 0.890 in the training cohort and 0.855 in the validation cohort. …”
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A machine learning tool for identifying metastatic colorectal cancer in primary care by Eliya Abedi, Marcela Ewing, Elinor Nemlander, Jan Hasselström, Annika Sjövall, Axel C. Carlsson, Andreas Rosenblad

“…As new treatments become available for metastatic CRC (MCRC), it is important to accurately identify these patients.Aim To develop a predictive model for identifying MCRC in primary health care patients using diagnostic data analysed with machine learning.Design and setting A case-control study utilising data on primary health care visits for 146 patients >18 years old diagnosed with MCRC in the Västra Götaland Region, Sweden during 2011, and 577 sex-, age, and primary health care centre-matched controls.Method Stochastic gradient boosting was used to construct a model for predicting the presence of MCRC based on diagnostic codes from primary health care consultations during the year before index (diagnosis) date and number of consultations. …”
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