SERF magnetometer array using concurrent amplitude-stabilized optical modulation by Ziqian Yue, Yueyang Zhai, Yuhao Wang, Xiangjin Xu, Junjian Tang

“…Moreover, the array shows high measurement consistency within 10–100 pT, with measurement errors below 0.76 pT and non-linear errors less than 2 %. …”
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Anti-inflammatory effect of chamomile from randomized clinical trials: a systematic review and meta-analyses by Jason Valmy, Stephanie Greenfield, Satoru Shindo, Toshihisa Kawai, Jorge Cervantes, Bo-Young Hong

“…The mean difference, confidence intervals, and standard error from the extracted means and standard deviations for relevant outcomes were calculated. …”
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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

“…The controller combines sliding mode (SM) control with fractional calculus (FC) to exploit the benefits of both methods. SM control, known for its effectiveness in controlling nonlinear systems, stabilizes the system and ensures finite-time convergence to the desired state. …”
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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…We used end-point dilution (ED) RT-QuIC assays to determine αSynD seed concentrations in patient biospecimens and tested the influence of various assay variables such as serial dilution factor, replicate number and data processing methods. The use of 2-fold versus 10-fold dilution factors and 12 versus 4 replicate reactions per dilution reduced ED-RT-QuIC assay error by as much as 70%. …”
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Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

“…Our results demonstrate that assessing haplotype variation in these regions is possible given sufficiently accurate long-read and associated data. Continued reductions in the cost of these technologies will enable application of these methods to larger samples and provide a broader catalogue of germline structural variation at these loci, an important step toward making these regions accessible to large-scale genetic association studies.…”
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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

“…ObjectiveThis study aimed to describe the attempts, strategies, and methods used to mitigate bias in AI models within primary health care, to identify the diverse groups or protected attributes considered, and to evaluate the results of these approaches on both bias reduction and AI model performance. …”
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The Influence of Running Technique Modifications on Vertical Tibial Load Estimates: A Combined Experimental and Machine Learning Approach in the Context of Medial Tibial Stress Syn... by Taylor Miners, Jeremy Witchalls, Jaquelin A. Bousie, Ceridwen R. Radcliffe, Phillip Newman

“…Vertical ground reaction force (vGRF) and axial tibial acceleration (TA) are the most common methods of estimating tibial loads, yet clinical recommendations for technique modification to reduce these metrics are not well documented. …”
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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

“…<italic>Goal:</italic> Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral joint (GH) digital surfaces and reliable clinical staging. <italic>Methods:</italic> xCEL-UNet was designed as a dual-task deep network for humerus and scapula bone reconstruction in CT scans, and assessment of three GH joint clinical conditions, namely osteophyte size (OS), joint space reduction (JS), and humeroscapular alignment (HSA). …”
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Assessment the Effects of Climate Change on the Degree of Heating and Cooling Days of Iran by Hasan Zolfaqari, Hamid Rahimi, Rohollah Oji

“…If the average air temperature is less than 18 degrees Celsius threshold, on that day will need to warm the environment. 2- Materials and Methods The quality controlled daily temperatures data of 44 synoptic stations across the country (1976-2005), as well as RCM simulations over the CORDEX were explored to evaluate the potential changes in heating and cooling degree-days due to climate change on Iran. …”
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Estimating the Within-Person Change in Dental Service Access Measures during the COVID-19 Pandemic in the United States by Jason Semprini

“…From 2019 to 2020, adults reported a 4.6%-point reduction in the probability of visiting the dentist (p<0.001). …”
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RATIONING OF FUEL CONSUMPTION WITH THE USE OF INFORMATION TECHNOLOGY by V. M. Kurganov, A. N. Dorofeev, M. V. Gryaznov

“…However, the normalization of fuel consumption is difficult due to the high probability of errors by the manual calculation. Currently, there is no methodology for determining the correction factors for taking into account the existing operating conditions for the stock of vehicles.Materials and methods. …”
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Two-Year Post-Market Surveillance of iStent inject&amp;reg; W Combined with Phacoemulsification in Japanese Open-Angle Glaucoma Eyes by Inatani M, Kohama I, Chu A

“…At M24, the estimated reductions in mean (standard error) IOP and number of medications were 2.0 (0.5) mmHg and 1.9 (0.4), respectively, in the cohort. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

“…UNet-based models were explored using two strategies: one incorporating all 25 km-scale convection-permitting ensemble forecast simulations as input, and another applying dimensionality reduction techniques to reduce input complexity. These models were compared to traditional benchmarks like the Censored Shifted Gamma Distribution (CSGD) with Ensemble Model Output Statistics (EMOS), the Analog Ensemble method and deep learning strategies through MLP architectures. …”
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Geometric line-of-sight guidance law with exponential switching sliding mode control for marine vehicles’ path following by Chengren Yuan, Chengren Yuan, Changgeng Shuai, Changgeng Shuai, Zhanshuo Zhang, Zhanshuo Zhang, Buyun Li, Buyun Li, Yuqiang Cheng, Yuqiang Cheng, Jianguo Ma, Jianguo Ma

“…It adapts to diverse compound paths by dynamically adjusting according to cross-track errors and local path curvature. Then, to enhance control performance, we present an improved exponential switching law for sliding mode control, enabling rapid convergence, disturbance rejection, and chatter reduction. …”
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MNPM: research on metabolic neural network prediction model for predicting carbon emission accuracy by Entao Luo, Li Shi, Jiyan Liu, Zheng Wu, Guoyun Duan, Lingxuan Zeng, Tangsen Huang

“…To optimize the nonlinear characteristics of the data and overcome the limitations of grey models, we utilize dynamic iterative time series training to address errors due to data inaccuracies effectively. Experimental results demonstrate that our approach outperforms other methods in filtering out irrelevant data, achieving an average relative residual of 0.055 and an average ratio bias of 0.049, translating to more precise prediction accuracy.…”
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From data to decision: Alleviating poverty and promoting development through measuring the unmeasurable economic numbers by Emmanuel A. Onsay, Jomar F. Rabajante

“…Since poverty is multifaceted and considered unmeasurable in social science, it is notoriously difficult to measure. The methods currently used to measure poverty require a significant amount of time, money, and labor. …”
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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

“…Traditional fault diagnosis methods often require extensive data and struggle with real-time applications. …”
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Medical VR Simulator for Pediatric Strabismus Treatment by Artem Obukhov, Elena Kutimova, Julia Matrosova, Daniil Teselkin, Maxim Shilcin

“…In terms of exercise quality metrics, a selected subgroup of participants who have been training for a long time have shown positive dynamics in terms of improved accuracy and a reduction in their average number of errors. In summary, virtual reality technologies demonstrated a statistically significant improvement in the metrics used to evaluate orthoptic treatment in the control group and the superiority of this approach over standard treatment.…”
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Pro-cognitive efficacy of Prospekta in a rat model of age-associated cognitive impairment by Elena Kardash, Nataliya Petrova, Ksenia Ganina, Sergey Tarasov, Oleg Epstein

“…The drug also decreased the number of omission errors at the beginning of the acquisition phase, which indicated the influence of treatment on attention and decision-making process. …”
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Depressive symptoms and overwork among physicians employed at a university hospital in Japan by Toru Maruyama

“…Methods: This study used a questionnaire recommended by the Japanese Ministry of Health for hospital physicians working overtime, administered through an interview carried out by an occupational physician during the health surveillance to evaluate: 1) the severity of chronic fatigue; 2) the burden of work; 3) an overwork score derived from these two measures; and 4) presence of depressive symptoms. …”
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