Mathematical Modeling of Wave-Induced Pore Pressure Dynamics in Silty Seabeds by Changjing Fu, Baoer Wen, Ye Lu, Tianlong Zhao

“…These parameters were fitted using nonlinear optimization techniques. …”
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Use of Smartphone-Based Experimental Data for the Calibration of Biodynamic Spring-Mass-Damper (SMD) Pedestrian Models by Chiara Bedon, Martina Sciomenta, Alessandro Mazelli

“…The analysis of the experimental results shows a rather close match with previous findings in terms of key pedestrian parameters. This outcome poses the basis for a more generalised application of the smartphone-based strategy to a multitude of similar applications and configurations of practical interest. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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MATHEMATICAL (SEIRB) MODEL ANALYSIS FOR EVALUATING CHOLERA CONTROL STRATEGIES IN REMOTE DRY SEASON REGION by Zainab Olabisi DERE, Asimiyu Olalekan OLADAPO

“…Cholera, caused by the Vibrio cholerae bacterium, poses a significant public health threat in remote regions of Nigeria, especially during the dry season when access to treated water is limited. …”
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Mechanics of Space Debris Removal: A Review by Mohammad Bigdeli, Rajat Srivastava, Michele Scaraggi

“…The growing population of space debris poses a critical risk to space operations, requiring urgent removal strategies. …”
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Electrodeposition of Nickel onto Polymers: A Short Review of Plating Processes and Structural Properties by George W. Thompson, Mohammad J. Mahtabi

“…In addressing the unique challenges posed by non-conductive polymers, this review compares emerging methods like silver conductive paint, highlighting differences in deposition time, surface resistivity, and environmental impact. …”
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Construction of Benchmark Problems for Solution of Ordinary Differential Equations by Sangchul Lee, John L. Junkins

“…Using this special case exact solution, it is possible to directly investigate the relationship between global errors of a candidate numerical solution process and the associated tuning parameters for a given code and a given problem. Under the assumption that the original differential equation is well-posed with respect to the small perturbations, we thereby obtain valuable information about the optimal choice of the tuning parameters and the achievable accuracy of the numerical solution. …”
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High level of soluble tumor necrosis factor receptors is associated with lower residual diuresis volume in patients on hemodialysis: An exploratory study. by Gabriele Teixeira Gonçalves, Luciana Martins de Mello Santos, Pedro Henrique Scheidt Figueiredo, Jaqueline de Paula Chaves Freitas, Jousielle Márcia Santos, Joyce Noelly Vitor Santos, Fidelis Antônio da Silva Junior, Frederico Lopes Alves, Vanessa Gomes Brandão, Emílio Henrique Barroso Maciel, Maria Cecília S M Prates, Borja Sañudo, Redha Taiar, Mario Bernardo-Filho, Danúbia da Cunha de Sá-Caputo, Vanessa Pereira Lima, Henrique Silveira, Victor Lacerda Gripp, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda

“…This study aimed to explore the possible relationship between inflammatory parameters and residual diuresis volume in patients on hemodialysis.…”
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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…High effective efficiency and absence of control parameters are the key advantages of Coatis Optimization Algorithm. …”
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Dynamic synthetic-scanning photoacoustic tracking monitors hepatic and renal clearance pathway of exogeneous probes in vivo by Jing Lv, Hengrong Lan, Aoji Qin, Tong Sun, Dan Shao, Fei Gao, Junjie Yao, Kamran Avanaki, Liming Nie

“…Traditional techniques such as PET/CT pose radiation hazards, whereas optical imaging poses challenges in maintaining both depth penetration and high resolution. …”
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Developing a Concept for an OPC UA Standard to Improve Interoperability in Battery Cell Production: A Methodological Approach for Standardization in Heterogeneous Production Enviro... by Julia Sawodny, Simon Otte, Fabian Böttinger, Fabian Haag, Andreas Schlereth, Tom-Hendrik Hülsmann, Felix Tidde, David Roth, Arno Schmetz, Alexander Puchta, Sebastian Schabel, Thomas Bauernhansl, Jürgen Fleischer

“…Its high degree of heterogeneity and lack of domain-specific standards pose significant challenges for model development. …”
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Plant selection for semi-arid urban landscapes with an emphasis on climate change (case study: Tehran) by Malek Rabiei Sadeghabadi, Omid Nouri, Reza Deihimfard

“…After grouping plants, selection parameters have been defined for each plant group. Plant species were comparatively graded for each parameter by a group of eight specialists. …”
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Flexible ureteroscopic treatment of kidney stones: How do the new laser systems change our concepts? by Simin Yu, Linhu Liu, Ya Li, Liang Zhou, Jixiang Chen, Hong Li, Kunjie Wang

“…The ablation efficacy of high-pulse-frequency devices relies on precise targeting, which may pose practical challenges.…”
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Effects of tributyltin on placental and reproductive abnormalities in offspring by Charles S. da Costa, Hanin Alahmadi, Genoa R. Warner, Maria Tereza Nunes, Glaecir Roseni Mundstock Dias, Leandro Miranda-Alves, Jones B. Graceli

“…It can accumulate in the environment at various concentrations throughout the food chain in the ecosystem, posing a risk to human health, especially during critical periods such as gestation and fetal and offspring development. …”
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A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration by Xuanran Zhao, Yan Wu, Xin Hu, Zhikang Li, Ming Li

“…However, the inherent differences between the two modalities pose a challenge to the existing deep-learning algorithms that only depend on local features. …”
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FedRoute: A Multi-Server Federated Meta-DRL Routing Scheme for Tactical Air-Ground WSNs by Andrews A. Okine, Nadir Adam, Faisal Naeem, Georges Kaddoum

“…However, intelligent jamming attacks on the network’s links, coupled with the highly dynamic network topology, disrupt data communication and pose challenges for reliable routing. In this paper, we introduce a cross-layer (MAC-PHY) jamming framework that models the hostile characteristics of TAG-WSNs. …”
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Observer-Based Adaptive Neural Control of Quadrotor Unmanned Aerial Vehicles Subject to Model Uncertainties and External Disturbances by Rashin Mousavi, Arash Mousavi, Yashar Mousavi, Mahsa Tavasoli, Aliasghar Arab, Ibrahim Beklan Kucukdemiral, Afef Fekih

“…However, their inherent instability and underactuated dynamics pose significant challenges, particularly under external disturbances and parametric model uncertainties. …”
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Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort. by Norman Jonas Kyala, Innocent Mboya, Elichilia Shao, Francis Sakita, Kajiru Gadiel Kilonzo, Laura Shirima, Abid Sadiq, Elifuraha Mkwizu, Nyasatu Chamba, Annette Marandu, Sophia Muhali, Faryal Raza, Eliasa Ndale, Damas Bayo, Daniel Mujuni, Furaha Lyamuya

“…While there are various biomarkers to predict disease severity and outcomes, their accessibility and affordability pose challenges in resource-limited settings. We explored the potentiality of the neutrophil-to-lymphocyte ratio (NLR) as a cost-effective inflammatory marker to predict disease severity, clinical deterioration, and mortality in affected patients.…”
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Strategies for enhancing PHC accessibility through mobile and capsule clinics: a spatial location allocation study in China by Haopeng Liu, Chengyu Ma, Yanbin Yang, Weizhen Liao, Yi Wang

“…Abstract Background Shortages in the Primary Health Care (PHC) workforce, especially in remote areas, pose a major challenge to achieving universal health coverage. …”
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Review of machine learning applications for predicting the quality of biomass briquettes for sustainable and low-carbon energy solutions by Constance Nakato Nakimuli, Fred Kaggwa, Johan De Greef, David Kilama Okot, Julien Blondeau, Simon Kawuma

“…Traditional methods of assessment of briquette quality involve destructive laboratory experiments, do not favor sample reuse, are time-consuming, and labor-intensive, posing barriers to efficient production. This paper reviews literature on various Machine Learning models applied for predicting and optimizing briquette quality parameters, including combustion, physical, and emission properties. …”
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