Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method by Harman Akbar Tullah, Muh Akbar, Alem Febri Sonni, Akbar Iskandar, Erwin Gatot Amiruddin, Kamaruddin, Asnimar

“…The findings of this research unequivocally highlight the enormous influence of Twitter on public sentiment related to CPNS selection, as demonstrated by the classification model's impressive accuracy rate of approximately 95.19%. In addition, this research successfully identifies the influential roles played by key actors, prominent accounts, and narratives in shaping public perceptions. …”
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

“…The AlexNet convolutional neural network uses the Adam algorithm with impulse and adaptive learning rate which can reduce the error oscillation and accelerate the convergence of neural networks during training. …”
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Assessing the impact of AI on physician decision-making for mental health treatment in primary care by Katie Ryan, Hyun-Joon Yang, Bohye Kim, Jane Paik Kim

“…There was no difference between the change-in-decision rate of physicians who received an AI recommendation to not treat, indicating that the direction of AI recommendations may influence physician decision-making, and raising important considerations for how physician decisions may be anticipated in the context of AI.…”
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Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

“…In the first stage, the effect of the construction on bus operation is evaluated based upon one indicator, namely the increased rate of bus turnaround time. The affected lines that need rerouting are sifted by the indicator. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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Imported and non-travel related cases of malaria in Europe – a ten-year analytic retrospective review by Ravishtaashini Vanitha, Franziska Abelein, Kalina P. Stoyanova

“…Results: Over the past decade, more than 70,000 cases of malaria have been reported in Europe with an average notification rate of 1.011 per 100,000 population. The highest incidence (8,662) registered in 2019 and the lowest (2,480) in 2020 reflect travel restrictions imposed during the COVID-19 pandemic. …”
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Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060 by Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto

“…We introduce a novel supply–demand balance score to quantify weekly and annual deviations between projected supply and demand curves, then use this metric to guide the machine-learning model in optimizing annual growth rate (AGR) and preventing supply demand imbalance. …”
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Smart Drug Delivery Systems Based on Single-Wall Carbon Nanotubes Loaded with Nanocurcumin Extract for Cancer Therapy and Toxicity by Marwa R. Jwameer, Sabah A. Salman, Farah T. M. Noori

“…After exposure to a variety of produced SWNTs and PEG-PEI-SWCNTs at concentrations ranging from 6.25 to 100 g/ml for 72 hours, the rate of growth inhibition in cancer cells including the liver cancer HepG2 cell line—was assessed. …”
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Physical activity simultaneously improves working memory and ripple-spindle coupling by Xinyun Che, Benedikt Auer, Paul Schmid, Christoph Reichert, Annemarie Scholz, Tom Weischner, Robert T. Knight, Stefan Dürschmid

“…Neurophysiologically, PA scaled the ripple rate with the number of items to be kept in WM and strengthened the coupling between ripple events and wake spindle events. …”
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Minimal genetic change in Vibrio cholerae in Mozambique over time: Multilocus variable number tandem repeat analysis and whole genome sequencing. by Marcelino Garrine, Inácio Mandomando, Delfino Vubil, Tacilta Nhampossa, Sozinho Acacio, Shan Li, Joseph N Paulson, Mathieu Almeida, Daryl Domman, Nicholas R Thomson, Pedro Alonso, Oscar Colin Stine

“…Our data raises important questions related to where these isolates persist and how identical isolates can be collected years apart despite our understanding of high change rate of MLVA loci and the V. cholerae molecular clock.…”
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Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm by Fatemeh Hataminia, Anahita Azinfar

“…These parameters serve as input variables for the model, while the relaxation rate R2 (s-1) is taken as the output variable. To develop this model, we employed a machine learning approach based on a neural network known as SA-LOOCV-GRBF (SLG). …”
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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Evaluation matrix is applied to test the performance of social sensor information dissemination model, such as event dissemination coverage, event delivery time, and event delivery rate. With the comparisons to epidemic model, social sensor information dissemination model shows excellent performance in improving the efficiency and accuracy of information transmission in disaster events.…”
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The effects of school holidays on transmission of varicella zoster virus, England and Wales, 1967-2008. by Charlotte Jackson, Punam Mangtani, Paul Fine, Emilia Vynnycky

“…<h4>Background</h4>Changes in children's contact patterns between termtime and school holidays affect the transmission of several respiratory-spread infections. …”
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Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

“…The study identified patterns in different flows of the Russian population in and from the North, the incidence rate (defined by the leading group of diseases) and its dynamics, characteristic of the territories equated to the Far North. …”
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Role of Genetic and Epigenetic Factors and Mechanisms Involved in the Occurrence of Congenital Heart Diseases (CHD) by Fateme Tabrizi, Mehri Khatami, Mohammad Mehdi Heidari

“…Conclusion: Due to modern surgical techniques, the survival rate of affected infants is increasing. Deeper insight into the exact causes of this disease is crucial for diagnosing and identifying high-risk patients and improving preventive and therapeutic strategies for CHD. …”
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The direction of stretch-induced cell and stress fiber orientation depends on collagen matrix stress. by Abhishek Tondon, Roland Kaunas

“…The extent of alignment was dependent on both strain rate and duration. Stretch-induced alignment on collagen gels was blocked by the myosin light-chain kinase inhibitor ML7, but not by the Rho-kinase inhibitor Y27632. …”
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Indentation Relaxation Behavior of the Austenitic Heat-Resistant Steel Sanicro25 by Lin Tong, Cao Tieshan

“…The results show that: the hardness/stress and time patterns of indentation relaxation at different depths are in accordance with the relationship similar to that proposed by Choi; the stress index is about 7 according to the power rate relationship, and the relaxation coefficient μ is about 0.3, whose inverse matches well with the stress index obtained from the indentation creep test; there is a pile-up phenomenon at the edges of the residual indentation on the surface of the specimen, which is caused by plastic flow of the material along the direction of the indenter after the formation of a completely plastic region at the bottom of the indenter. …”
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Experimental investigation on failure processes and characteristics of landslide dams with different inflow conditions by Zhaozhao Liu, Qun Chen, Chen Wang, Cheng Zhou, Xing Li, Chen Chen

“…In this study, different erosion patterns of landslide dam were achieved by controlling the water level through inflow conditions. …”
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Vaginal bacteria and cervical cancer: a bibliometric analysis of trends and themes by Xiaoxia Liu, Yinghui Zhao, Xianhua Meng, Zheng Gao, Xiaohong Wang, Fengyong Yang

“…Bibliometric analysis was performed using VOSviewer, CiteSpace, and R-bibliometrix to evaluate publication patterns, research collaboration networks, and emerging trends.ResultsA total of 372 publications were identified, showing an annual growth rate of 8.41%. …”
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An experimental study on seepage characteristics and grouting-induced permeability reduction of burnt rocks by Ziwei QIAN, Chunzhi TAN, Qiang SUN, Hai WANG, Gailing ZHANG

“…Within 14 days after grouting, the permeability reduction rate increased with time, eventually stabilizing. …”
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