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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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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Serrated Lesions of the Colon-Rectum: A Focus on New Diagnostic Tools and Current Management by Gianluca Cassese, Alfonso Amendola, Francesco Maione, Mariano Cesare Giglio, Gianluca Pagano, Marco Milone, Giovanni Aprea, Gaetano Luglio, Giovanni Domenico De Palma

“…The high risk of incomplete resection, together with the high rate of postcolonoscopy interval cancers, suggests the need of an extra care when facing this kind of lesions. …”
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DArTseq-based silicoDArT and SNP markers reveal the genetic diversity and population structure of Kenyan cashew (Anacardium occidentale L.) landraces. by Dennis Wamalabe Mukhebi, Pauline Wambui Gachanja, Diana Jepkoech Karan, Brenda Muthoni Kamau, Pauline Wangeci King'ori, Bicko Steve Juma, Wilton Mwema Mbinda

“…A total of 27,495 silicoDArT and 17,008 SNP markers were reported, of which 1340 silicoDArT and 824 SNP markers were used for analyses after screening, with > 80% call rate, > 95% reproducibility, polymorphism information content (PIC ≥  0.25) and one ratio (>0.25). …”
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Behavioral effects in time preference for losses depend on direction of delay discounting and level of data analysis by Zhuoyi Fan, Xuhui Zhang, Yue Shen, Junyi Dai

“…For each effect, opposite changes in discount rate were found in data suggesting positive versus negative discounting. …”
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Daily night-time lights reveal prolonging global electric power system recovery times following tropical cyclone damage by Yu Mo, Fred Thomas, Jianan Rui, Jim W Hall

“…We also found that blackout durations have significantly ( P < 0.05) increased over the study period across all levels of urbanization, at a similar rate of 0.9 ± 0.1 d per decade. The temporal variations (i.e. annual means) of blackout duration of high and low density urban clusters negatively correlated with storm travel speed, while those of low density urban clusters and rural areas positively correlated with pre-storm NTL ( P ⩽ 0.05 in all cases). …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…In particular, accuracy improved by 5% using MDBM, the false positive rate reduced by 15% with MVAE, a more than 10% improvement in the F1-score with the attentive fusion network, a 20% reduction in reconstruction error with Deep Convolutional Autoencoder (DCA), detection precision improved by 12% using Adversarially Learned Inference (ALI) and a gain of 8% in Area Under the Curve (AUC) using Deep InfoMax (DIM) operations.…”
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Preferences for life-sustaining treatments in advance decisions: a cross-sectional survey of Taiwanese general public by Daniel Fu-Chang Tsai, Yu-Chen Juang, Chun-Tung Kuo, Ping-Hsueh Lee, Duan-Rung Chen

“…However, given the low completion rate and prevalent preference patterns, policymakers should increase efforts to ensure that those in need have access to appropriate resources and consider implementing a tiered signing process.…”
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Association between sleep quality and blood pressure control among hypertensive patients at a rural tertiary hospital in Southern Nigeria: a cross-sectional study by Tijani Idris Ahmad Oseni, Ndifreke Ekpo Udonwa, Afiong Oboko Oku, Moyosore Taiwo Makinde, Felix Archibong

“…Sleep patterns were categorised as restorative (healthy) or non-restorative (unhealthy). …”
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Subgroup analysis of treatment pathways and clinical outcomes in Hodgkin lymphoma in Latin America from the retrospective B-HOLISTIC study by Alvaro Hernandez-Caballero, Ruben Salazar, Marta Zerga, Silvia Rivas-Vera, Zhongwen Huang, Amado Karduss

“…Median PFS and OS in the RRHL group was 20.2 and 87 months, respectively; the 5-year PFS rate was 27.1%. Survival outcomes were improved in patients who underwent SCT than those without SCT. …”
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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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