Hamstring vs Peroneus Longus Tendon Autograft in Anterior Cruciate Ligament Reconstruction: A Comparative Study by Khadri M Khalid, Adarsh Vajrangi, Eswara Reddy, Nagesh Sherikar, Rakshith Chakravarthy Harish Yellappa, Ranganatha B Kurupati

“…Conclusion: With regard to its strength, larger graft diameter, satisfactory ankle function, and prevention of potential complications of HT autograft obtained from the knee region, the current study demonstrated that PLT autograft might be considered a safe and practical autograft source for arthroscopic ACLR.…”
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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

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A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis by Jung Hyun Kim, Jaeyong Shin, Man S Kim, Jae Hoon Moon

“… Abstract BackgroundThe integration of wearable technology for heart rate monitoring offers potential advancements in managing hyperthyroidism by providing a feasible way to track thyroid function. Although digital health solutions are gaining traction in various chronic conditions, their cost-effectiveness in hyperthyroidism management requires deeper investigation. …”
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Establishing the best step-up treatments for children with uncontrolled asthma despite inhaled corticosteroids: the EINSTEIN systematic review, network meta-analysis and cost-effec... by Sofia Cividini, Ian Sinha, Giovanna Culeddu, Sarah Donegan, Michelle Maden, Katie Rose, Olivia Fulton, Dyfrig Hughes, Stephen Turner, Catrin Tudur Smith

“…Secondary outcomes included quality of life, mortality, forced expiratory volume in 1 second (FEV1), adverse events (AEs), hospital admissions, costs, resource use and utilities to inform the economic model. …”
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A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network. by Shuai Zou, Jingpu Zhang, Zuping Zhang

“…Since the microbiome has a significant impact on human health and disease, microbe-disease associations can be utilized as a valuable resource for understanding disease pathogenesis and promoting disease diagnosis and prognosis. …”
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Epidemiology and regional variance of traumatic peripheral nerve injuries in Sweden: A 15-year observational study. by Martin Magnéli, Michael Axenhus

“…Understanding the incidence, trends, and anatomical distribution of such injuries is essential for targeted interventions and resource allocation.<h4>Methods</h4>This observational study utilized register-based data from the Swedish National Patient Register covering the period from 2008 to 2022. …”
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Unlocking iron: nutritional origins, metabolic pathways, and systemic significance by Zoha Imtiaz Malik, Muhammad Umer Ghafoor, Syed Hassan Bin Usman Shah, Juweria Abid, Umar Farooq, Abdul Momin Rizwan Ahmad, Abdul Momin Rizwan Ahmad

“…This review aims at providing a comprehensive analysis of iron’s dietary sources, metabolic role, physiological functioning, absorption enhancers and inhibitors, and systemic regulation, such as hepcidin’s role in iron homeostasis. …”
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Stacked ensemble model for accurate crop yield prediction using machine learning techniques by Ramesh V, Kumaresan P

“…Historically, such predictions have utilized diverse data sources, including agricultural, land, climatic, atmospheric, and other pertinent information. …”
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The potential habitat of Phlomoides rotata in Tibet was based on an optimized MaxEnt model by Jun-Wei Wang, Jun-Wei Wang, Min Xu, Norbu Ngawang, Yonghao Chen, Ngawang Bonjor, Xiaoyan Jia, Zhefei Zeng, Zhefei Zeng, La Qiong, La Qiong

“…These findings provide a theoretical foundation for the resource management, ecological conservation, and sustainable utilization of Tibetan medicinal plants while offering valuable references for the study of other alpine plants.…”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…Compared with traditional methods, this strategy has unique advantages in considering underwater space characteristics and can better adapt to the complex underwater environment. Secondly, a new utility function is constructed by integrating factors such as throughput, energy consumption, and load. …”
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Computational study of time-fractional non-linear Kawahara equations using Quintic B-spline and Galerkin’s method by Shams Ul Arifeen, Ihteram Ali, Imtiaz Ahmad, Sadaf Shaheen

“…This study presents two numerical methods focused on Quintic B-spline (QBS) and Galerkin finite element method (GFEM) for solving time-fractional Kawahara equations. The QBS is utilized as both the basis and test function in the FEM approach. …”
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On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition by Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado

“…Background: Robotic-based therapy has emerged as a prominent treatment modality for the rehabilitation of hand function impairment resulting from strokes. Aim: In this context, feature engineering becomes particularly important to estimate the intention of upper limb movements by utilizing machine learning models, especially when a hardware embedded-on-board implementation is expected, due to the strong computational, energy, and latency constraints. …”
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Meaning in Life Among Aged People: A Qualitative Study of an Institutionalized Elderly Sample by Lăcrămioara Cojocaru, Camelia Soponaru, Daniela Muntele-Hendreș, Ciprian Ceobanu

“…The research utilized thematic analysis within a qualitative methodology to investigate the subjective sources of meaning among elderly people living in Romanian institutional settings. …”
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Fruit quality evaluation of different mulberry varieties by Jie Tian, Haichao Wen, Bingxiang Liu, Xinyuan Tian, Yibo Wu, Jingyan Yang, Bingying Zhang, Hongjiao Li

“…The mulberry tree, as a plant resource that serves both medicinal and dietary purposes, contains rich nutritional components and various bioactive compounds. …”
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A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…The proposed method leverages NSBBO in two critical areas: backpropagation optimization within CNN&#x2019;s fully connected neural network layers and membership function optimization to refine fuzzy logic handling of uncertain or noisy information. …”
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Bioprospecting the Endophytic Fungus, <i>Lasiodiplodia theobromae</i> MMPI, for the Integrated Production of Mycoprotein and Exocellular (1→6)-β-Glucan by Marcelo Luis Kuhn Marchioro, Gabrielli Aline Pietro Bom Candeia, Luana Malaquias Bertoleti, Aneli M. Barbosa-Dekker, Robert F. H. Dekker, Mário Antônio Alves da Cunha

“…In response to the growing demand for alternative protein sources and functional biomolecules for industrial applications, this study investigated the production of mycoprotein and extracellular (1→6)-β-D-glucan (lasiodiplodan) by the fungus <i>Lasiodiplodia theobromae</i> MMPI, establishing an integrated biotechnological platform. …”
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Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling by K. A. Muller, P. Jiang, G. Hammond, T. Ahmadullah, H.-S. Song, R. Kukkadapu, N. Ward, M. Bowe, R. K. Chu, Q. Zhao, V. A. Garayburu-Caruso, A. Roebuck, X. Chen

“…Two test cases are provided to demonstrate the functionality of the Lambda-PFLOTRAN workflow. The first test case uses laboratory incubation data of temporal oxygen depletion to fit lambda parameters (i.e., maximum utilization rate and microbial carrying capacity). …”
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From Development to Regeneration: Insights into Flight Muscle Adaptations from Bat Muscle Cell Lines by Fengyan Deng, Valentina Peña, Pedro Morales-Sosa, Andrea Bernal-Rivera, Bowen Yang, Shengping Huang, Sonia Ghosh, Maria Katt, Luciana Andrea Castellano, Lucinda Maddera, Zulin Yu, Nicolas Rohner, Chongbei Zhao, Jasmin Camacho

“…These cells exhibit frequent spontaneous contractions, suggesting robust functional integrity at the neuromuscular junction. …”
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Dietary Black Soldier Fly Larvae Meal and Its Impact on the Growth Performance and Gut Health of Broilers Under an Intestinal Challenge by Yuri Katagiri Dalmoro, Guilherme Librelotto de Godoy, Jessica Cristina Agilar, Glauco Anderson Raddatz, Fernanda de Candido de Oliveira, Natieli Witt, Catarina Stefanello

“…Background/Objectives: The use of black soldier fly (BSF) larvae meal in poultry nutrition is gaining attention as a sustainable protein source with a high nutritional value, an efficient bioconversion of organic waste, and potential functional benefits for intestinal health. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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