Adherence to and factors moderating the implementation of childhood TB contact tracing guidelines in selected facilities in Ndola District, Zambia: a cross-sectional study by Elizabeth Kashindi, Patricia Maritim, Adam Silumbwe, Joseph M. Zulu, Gershom Chongwe, Patrick Kaonga, Choolwe Jacobs

“…A multivariable logistic regression with robust standard errors was used to control for confounding, potential clustering and determining the variables associated with adherence at a 95% confidence level. …”
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Approach to automating viral genome assembly by Ms Anastasiia Paremskaia, Dr Andrei Deviatkin, Dr Pavel Volchkov

“…At the same time the initial analysis of these data currently is not routine procedure and requires substantial computational resources to process and interpret the vast amounts of data generated. …”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…This paper provides a comprehensible comparative analysis of DDPG and SAC, including their optimal hyperparameter configurations for PV MPPT control. …”
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Population-level impact of COVID-19 on thyroid function tests: Results from a repeated cross-sectional study by Gabriel Berkebile, Françoise Barbé, Catherine Malaplate, Lauriane Le Collen, Jean-Louis Guéant, Marc Klein, Abderrahim Oussalah

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Research on Hybrid Architecture Neural Networks for Time Series Prediction by Fujin Zhuang, Xiao Chen, Punyaphol Horata, Khamron Sunat

“…Through comparative analysis of various optimization algorithms’ convergence performance and prediction accuracy, this study found that the AdamW optimizer, with its effective weight decay mechanism and adaptive learning rate, demonstrated superior performance in training stability and generalization capability, with MSE and R2 metrics outperforming traditional optimizers. …”
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Investigating the Mechanisms of Hyperspectral Remote Sensing for Belowground Yield Traits in Potato Plants by Wenqian Chen, Yurong Huang, Wei Tan, Yujia Deng, Cuihong Yang, Xiguang Zhu, Jian Shen, Nanfeng Liu

“…Efficient methods for assessing yield and quality are essential for policy-making and optimizing production. Traditional yield assessment techniques remain destructive, labor-intensive, and unsuitable for large-scale monitoring. …”
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Accuracy of Rhythm Diagnostic Systems’ MultiSense^® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and De... by Charles Evrard, Amina El Attaoui, Cristina Pistea, Irina Enache, Mark Marriott, Louis Mayaud, Anne Charloux, Bernard Geny

“…The average root mean square error (ARMS) of SpO₂ for Multisense^® placed on the back and chest was 2.94% and 2.98%, respectively, with permutation testing confirming a significant ARMS below 3.5% for both positions and no statistically significant difference in the ARMS between patch placements. …”
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Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

“…This predictive capability allows for optimized filtration cycles, reduced downtime, and improved process efficiency. …”
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Focus on reflective competence: A triangulation to examine youth soccer coaches' reflective competence by Max Danner, Mareike Ahns, Günter Amesberger

“…Discussion Coaches focused primarily on optimizing practices rather than examining issues in depth. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

“…Feature selection and optimization of input scenarios were achieved using a combination of particle swarm optimization (PSO) and manual methods. …”
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Experimental Study on Axial Compression Behaviour of Ultra-high-performance Concrete-filled Duplex Stainless Steel Tube Stub Rectangular Columns by TANG Hongyuan, WANG Huixiang, LIU Ye

“…The proposed modified formula addresses rectangular section non-uniform confinement effects, achieving less than 7% prediction error across a wide range of material parameters. …”
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Diagnostic accuracy of the A-test and cutoff points for assessing outcomes and planning acute and post-acute rehabilitation of patients surgically treated for hip fractures and ost... by Vukomanović Aleksandra, Đurović Aleksandar, Brdareski Zorica

“…For measurements we used the A-test and the University of Iowa Level of Assistance Scale (ILAS) as the gold standard. For statistical analysis we used the receiver operating characteristic (ROC) curve and the area under the curve (AUC) with 95% confidence interval for the results of A-test from the first to the fifth day of rehabilitation, sensitivity, specificity, the rate of false positive and false negative errors, positive and negative predictive value, ratio of positive and negative likelihood ratio, accuracy, point to the ROC curve closest to 0.1 and Youden index for all the cutoff points. …”
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A thermal-electrical-mechanical coupling framework solving the deformation characterized by extreme adiabatic heating and geometric non-uniformity by H.C. Sun, J.S. Yan, S. Yang, Y. Li, L.L. Zhu, H. Zhang, N. Ueshima, Y.X. Liu, K. Oikawa, L. Jiang, J.J. Ruan

“…The coupled framework achieved high accuracy, with simulated load-stroke curves aligning closely with experimental data (<10 % error) and temperature control within ±2 °C of targets. …”
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Determination of Total Boron in Soil by Alkaline Fusion-Inductively Coupled Plasma Mass Spectrometry by Jia-shu CHEN, Xiong XIONG, Jin-mei DUAN, Ying-lin CHEN, Jia-jun JIANG, Hong-hui ZHU

“…The precision (RSD, n=6) is 1.92%-3.79%, with the relative error (RE) ranging from −0.32% to 3.69%, and the relative standard deviation (RSD, n=6) of the actual sample is 0.99%-1.82%. …”
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Accelerated discovery and testing of Fe–Co–Cr–Ni–Mo ferrous medium-entropy alloys: advanced in-situ alloying via direct energy deposition by Jae Heung Lee, Ji Yeong Lee, Bon Woo Koo, Dae-Kyeom Kim, Jungwan Lee, Eun Seong Kim, Hyojeong Ha, Taek-Soo Kim, Hyoung Seop Kim

“…Traditional trial-and-error alloy design methods have reached their limitations due to the growing complexity of alloy systems such as high-entropy alloys (HEAs). …”
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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

“…Incorporating these MFs into subsequent regression models demonstrated improved performance, with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mover><mi>R</mi><mo>¯</mo></mover><mn>2</mn></msup></semantics></math></inline-formula> values higher than 0.9 for MF Grad Boost M3, MF GradientBoost M5, and all kNN MFs and reduced error margins compared to field-measured yield values. …”
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Design and Prototype Verification of a 3-meter Aperture Wrap-rib Reflector by ZHANG Han, YAN Zhongxi, XIANG Ping, WU Minger

“…To solve this problem, the shape of the flexible wrap-rib reflector was determined through form-finding analysis. The shape of the lenticular tube wrap-rib was optimized by combining the form-finding analysis of the flexible reflector with the genetic algorithm. …”
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The Chicago–Carnegie Hubble Program: The JWST J-region Asymptotic Giant Branch Extragalactic Distance Scale by Abigail J. Lee, Wendy L. Freedman, Barry F. Madore, In Sung Jang, Kayla A. Owens, Taylor J. Hoyt

“…Therefore, we can leverage it to both cross-check Cepheid and TRGB distances for systematic errors and use it to measure an independent local H _0 . …”
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Attitudes of pharmacy students towards patient safety: a cross-sectional study from six developing countries by Abdallah Y Naser, Hassan Alwafi, Zahra Khalil Alsairafi, Ahmed Awaisu, Oriana Awwad, Eman Zmaily Dahmash, Salman Hussain, Hamad S Alyami, Alaa Alsharif, Avinash Kumar Singh, Fatima B Jeragh-Alhaddad, Angga Prawira Kautsar, Amal Khaleel AbuAlhommos

“…The subscale with the lowest score was ‘internalising errors regardless of harm’, 49.2%. Female students had significantly better attitudes towards patient safety scores compared with male students (p=0.001). …”
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Research on Atlantic surface pCO2 reconstruction based on machine learning by Jiaming Liu, Jie Wang, Xun Wang, Yixuan Zhou, Runbin Hu, Haiyang Zhang

“…This indicates that the model can accommodate environmental data errors induced by abrupt changes in marine environments. …”
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