Stem Cell Therapies in Canine Cardiology: Comparative Efficacy, Emerging Trends, and Clinical Integration by Ahmed Farag, Hanan Hendawy, Mahmoud H. Emam, Mizuki Hasegawa, Ahmed S. Mandour, Ryou Tanaka

“…Challenges such as low cell retention, differentiation efficiency, and variability in therapeutic responses are also discussed. …”
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Changes in Race Performance During the Underwater Phases of a 200 m Bi-Fins Race Simulation After Application of Respiratory Muscle Training—A Case Study in the Current World Recor... by Tomáš Michalica, Jakub Březina, Marek Polach, Dennis-Peter Born, Jiří Mališ, Zbyněk Svozil, Eva Kociánová

“…Maximal athletic performance can be limited by various factors, including restricted respiratory function. These limitations can be mitigated through targeted respiratory muscle training, as supported by numerous studies. …”
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Diversity and interdomain networks of bacterial, pico-protist and nano-protist communities in a marine ranching by Xinyi Zheng, Xin Guo, Xin Guo, Xiaoqing Lin, Cheng Huang, Lingfeng Huang

“…Although seasonal fluctuations in environmental variables generally influence microbial community dynamics, our comprehension of interdomain microbial co-occurrence patterns remains incomplete. …”
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Mechanical Properties and Statistical Damage Constitutive Model of Rock under a Coupled Chemical-Mechanical Condition by Yun Lin, Feng Gao, Keping Zhou, Rugao Gao, Hongquan Guo

“…To investigate the mechanical damage evolution process of rock under a coupled chemical-mechanical (CM) condition, an improved statistical damage constitutive model was established using the Drucker-Prager (D-P) strength criterion and two-parameter Weibull distribution. The damage variable correction coefficient and chemical damage variable which was determined by porosity were also considered in the model. …”
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Some New Connection Relations Related to Classical Orthogonal Polynomials by Wathek Chammam, Wasim Ul-Haq

“…In this paper, we deal with a problem of positivity of linear functionals in the linear space ℙ of polynomials in one variable with complex coefficients. …”
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Optimal Design Method of Integrated Energy Systems Considering Staged Planning and Equipment Replacement by Lei ZOU, Yiming TANG, Zhuping LIU, Zhengyong WU, Chao FANG, Chaoqun WANG, Fushuan WEN

“…Then, with the whole project cycle as the optimization time scale, the relationship between the equipment installation year and the current remaining life is modeled by introducing the equipment selection and operation decision variables. Finally, considering the influence of economic factors such as nominal interest rates and inflation rates, an objective function, involving investment costs, operating costs, and equipment residual value income, is constructed, with the optimal economical performance as the goal. …”
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Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

“…Due to the spectral overlap of the crops in some time periods, network training was associated with a relatively high loss and therefore, for the test area, the overall classification accuracy was 69% (percent) and the kappa coefficient was 0.55. In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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Interval Economic Dispatch for Commercial Campus Integrated Energy System with Demand Response Considering Multiple Uncertainties by Xuan Sheng, Shunjiang Lin, Weikun Liang, Yue Pan, Mingbo Liu

“…Test results from actual CCIES demonstrate that the DR can improve the economy and reduce the uncertain fluctuation range of both the objective function and state variables. The ED result can maintain an economical and secure operation under multiple uncertain fluctuations.…”
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Decoding the role of serum cholinesterase among type 2 diabetes mellitus patients at RIMS, Ranchi – A hospital-based study by Avijit Saha, Abha Kumari, Santosh Kumar, Abhay Kumar, Chandrakanta Munni

“…This condition is characterized by variable levels of insulin resistance, impaired insulin secretion, and elevated glucose production. …”
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Association between Oral Health Status and Diabetic Nephropathy-Related Indices in Japanese Middle-Aged Men by Masami Yoshioka, Yoshifumi Okamoto, Masahiro Murata, Makoto Fukui, Shizuko Yanagisawa, Yasuhiko Shirayama, Kojiro Nagai, Daisuke Hinode

“…Logistic regression analysis using eGFR as a dependent variable and age, CPI score, body mass index, HbA1c, and neutral fat as independent variables suggested that low eGFR (<60) could be attributed to CPI score (OR=3.169, 95% CI: 1.031–9.742, p=0.044). …”
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Androgen receptor co-regulation in prostate cancer by Dhirodatta Senapati, Sangeeta Kumari, Hannelore V. Heemers

“…Novel therapeutic strategies are being explored that involve targeting other critical AR domains such as those that mediate its constitutively active transactivation function, its DNA binding ability, or its interaction with co-operating transcriptional regulators. …”
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Construction Concrete Price Prediction Based on a Double-Branch Physics-Informed Neural Network by Kaier Shi, Ruiqing Han, Zhipeng Li, Pan Guo

“…Traditional price prediction of construction material concrete often adopts macroeconomic indicators as independent variables. However, since there is often a closer relationship between the raw materials of construction concrete and the production of construction materials, the price prediction of construction concrete based on raw material prices can more directly ensure the prediction accuracy. …”
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Peak Arm Current Reduction of Modular Multilevel Converter Based on Particle Swarm Optimizer for Circulating Current Injections by Riyadh Toman Thahab, Tahani Hamodi Al-Mhana

“…The magnitude and phase of the injected components are treated as variables in the optimisation process, with the goal of minimising the peak arm current as the cost function. …”
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Selection of Superior Lentil (Lens esculenta M.) Genotypes by Assessing Character Association and Genetic Diversity by U. K. Nath, Santona Rani, M. R. Paul, M. N. Alam, B. Horneburg

“…However, discriminant function analysis revealed a progressive increase in the efficiency of selection and BM-70 ranked as the best followed by the genotypes BM-739, BM-680, BM-185, and BM-513. …”
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A study of the effects of situational strength on self-efficacy and happiness: comparing individualist and collectivist cultures by Young Hyun Yeo, Ju Ho Lee, Keon-Hyung Lee

“…While this may enhance organizational efficiency by minimizing variability in individual performance, it can also suppress self-expression and elevate stress—particularly for individuals in collectivist cultures who face stronger normative control. …”
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L-arginine Supplementation in Endurance Athletes: A Systematic Review of Recovery Mechanisms and Performance Enhancement by Łukasz Karoń, Anna Ewa Zygmunt, Karolina Karoń, Wojciech Grabowski, Grzegorz Drapała, Emilia Pedrycz, Daria Pedrycz

“…Recognized for its multifaceted roles in cardiovascular, immune, and metabolic functions, L-arginine serves as a precursor to biologically active molecules, including nitric oxide (NO), creatine, and polyamines, which are integral to muscle function and recovery. …”
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Unraveling novel variants in the NF1 gene and investigating potential therapeutic strategies by Jianmei Huang, Ke Yang, Yaoping Wang, Xinrui Ma, Wenke Yang, Xiaodong Huo, Jie Bai, Hongjie Zhu, Jinming Wang, Yibing Lv, Shixiu Liao

“…A retrospective analysis of 49 clinical trials over the past 20 years revealed that NF1 therapies predominantly target neurofibromin’s GTPase function. Gene therapies aiming to restore neurofibromin by transducing the truncated NF1-GRD gene have been developed but faced pre-clinical challenges, including cloning capacity, transduction efficiency, and immunogenicity caused by gene delivery. …”
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Synergistic co-metabolism enhancing the crude oil degradation by Acinetobacter oleivorans DR1 and its metabolic potential by Lairenjam Paikhomba Singha, Renuka Kumari, Keisam Malabika Singha, Piyush Pandey, Pratyoosh Shukla

“…ABSTRACT Bacterial degradation of hydrocarbons during co-metabolism with glucose often resulted in variable degradation efficiency. This study explored the mechanistic understanding of the metabolic response during co-metabolism in Acinetobacter oleivorans DR1 using a metabolomics approach. …”
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Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance by Hayat Ait Dahmad, Hassan Ayad, Alfonso García Cerezo, Hajar Mousannif

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Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…A Physics-Data Learning (PDL) model is first formed by adding a complementary physical variable generated by Penman–Monteith (PM) equation to a deep learning (DL) model along with driving variables to regress latent heat flux. …”
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