Effects of electron beam irradiation on microbial loads, physicochemical properties, stability of active ingredients, and antioxidant activity in Angelica sinensis Radix by Yunxia Hu, Haijun Wang, Zhijun Xin, Wensheng Gou, Zhuanzi Wang, Xiao Liu, Xihong Lu, Aimei Yang, Xuehu Li, Libin Zhou

“…As the demand for safe, wholesome, and high-quality food continues to rise, more research is being done on innovative food processing technologies that maximize efficiency while reducing negative effects on food quality. …”
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Presenting a model of political behavior based on the theory of shadow management in the public sector with a hybrid method by Ghorbanali Khazaei Pool, davood kiakojouri, Mohammad Javad Tghipourian

“…This research, using the ISM method, has identified and analyzed six causal and strategic variables including individual, environmental and structural factors. …”
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Peroral endoscopic myotomy for complex achalasia and the POEM difficulty score: An update by Carmen Ching Hui Yee, Michael Youssef, Matthew Woo, Robert Bechara

“…Demographic and procedural variables were compared using descriptive and inferential statistics. …”
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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

“…This study aims to develop an efficient and accurate segmentation method for renal pathological tissues to support intelligent diagnostic workflows. …”
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Integrating multi-dimensional data to reveal the mechanisms and molecular targets of baikening granules for treatment of pediatric influenza by Zhaoyuan Gong, Qianzi Che, Mingzhi Hu, Tian Song, Lin Chen, Haili Zhang, Ning Liang, Huizhen Li, Guozhen Zhao, Lijiao Yan, Xuefei Zhang, Bin Liu, Jing Guo, Nannan Shi

“…The high risk of viral variability, drug resistance, and drug development leads to a scarcity of therapeutic drugs. …”
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Adaptive Stochastic Approach for Evaluating Service Level Using a (SIM-ESL) Module Developed for Optimizing Product Availability and Order Accuracy by Aufy Samah A., Jabbar Rasha, Shiaa Waad Q.

“…It is structured with two models are: Evaluation Dynamic Maximum Economic Order Quantity (EDEOQ) model developed Artificial Neural Network (ANN) to evaluate the optimum inventory level of finished goods as a function of product varied demand and lead time. The second one, Variability Between-Among Dynamic Economic Order Quantity (VB-ADEOQ) is modeled a fuzzy logic to estimate the performance measures (AOP and AOO) that make sure the required order is being processed and delivered on time. …”
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Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes by M. Vaitilingom, M. Vaitilingom, C. Bernard, M. Ribeiro, C. Verhaege, C. Verhaege, C. Gourbeyre, C. Berthod, A. Bianco, L. Deguillaume, L. Deguillaume

“…<p>In situ cloud studies are fundamental to study the variability in cloud chemical and biological composition as a function of environmental conditions and assess their potential for transforming chemical compounds. …”
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PARAMETER ANALYSIS AND OPTIMIZATION OF MAGNETIC ADSORPTION UNIT FOR CRAWLER WALL-CLIMBING ROBOT (MT) by ZHAO ZhiHao, TAO YouRui, PEI JiaXin, HU JunYu

“…The length, the width, the height of the permanent magnet, the thickness of the yoke and the distance between the permanent magnet and the wall are selected as the design variables. After the optimized design, the adsorption efficiency of the MAU is increased from 2.029 7 to 3.938 1.…”
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أثر كفاءة الجھاز التنفسي في ألانجاز الرقمي لعدائي ( -5001500 للشباب بأعمار دون( 20 )سنة by عباس فاضل جابر, ماهر عبداللطيف عارف

“… A study conducted on a sample of runners ran (1500 m -5000 m) youth Reconstruction without (20) years to know the effect of the efficiency of the respiratory tract in the achievement digital The study aimed to identify the impact of the efficiency of the respiratory system of delivery for digital hostile (1500-5000) meters for youth ages without 20 years old and to identify the relationship between some of the functions of breath and time ran 1,500 meters and 5,000 meters for young people under the age of 20 years and get the equation predictive time-ran 1,500 meters and 5,000 meters for young people under the age of 20 years have been identified measurements that will be used in the research is vital capacity of the lungs VC)) and vital capacity rapid ( FVC) and the volume of exhaled air after the first second (FEV1) and the percentage of the volume of exhaled air after the first second (FEV1%) and the average maximum speed of exhalation (MMF) and compression force exhaled air - rate the passage of exhaled air (PEF) has concluded the researchers to some of the findings, including the existence of correlation between some of the functions of breath and time ran (1500-5000) meters for youth and appeared vital capacity of the lungs during rest (VCr) preference efficiency Respiratory to hostile five thousand meters on the hostile thousand and five hundred meters clearly. emerged as functions of breathing contribute to the time he ran (1500) m is the rate of passage of exhaled air PEF and jointly by (41.55%), followed by vital capacity maximum (FVC) by (5.71%) and the volume exhaled air after the first second (FEV1) increased by 3.55% and the three variables contribute by 49.11% at the time ran the 1,500 meters. …”
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Comparative Evaluation of Vibratory Physiotherapy Methods in the Early Period after Cardiac Surgery by А. А. Eremenko, T. P. Zyulyaeva, D. V., Ryabova, А. P. Аlferova

“…Mechanical respiratory therapy procedures led to significant improvement in gas exchange variables, as evidenced by an increase in SpO2 in Groups 1 and 2 (p = 0.000009 and 0.000001, respectively) and a decrease in the proportion of patients with impaired oxygenating lung function (SpO2 below 92%) by 11 and 12 times, respectively (p &lt; 0.01). …”
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Closed-Form Solutions to Differential Equations via Differential Evolution by L. Mex, Carlos A. Cruz-Villar, F. Peñuñuri

“…First, the problem is stated as an optimization problem where the independent variables are elementary functions. Second, as the domain of DE is real numbers, we propose a grammar that assigns numbers to functions. …”
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Inference of Impulse Responses via Bayesian Graphical Structural VAR Models by Daniel Felix Ahelegbey

“…Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models. …”
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Developments in the study of the role of lactate metabolism in the genesis and progression of thyroid cancer by Lei Shi, Lei Shi, Lei Shi, Xuyang Zhong, Jiafeng Liu, Yong Ying, Zibing Liao, Jin Liu, Liwen Zhao, Jianing Zhong, Jianing Zhong, Xiangtai Zeng, Xiangtai Zeng

“…We systematically dissect the multifaceted regulatory circuits governing lactate metabolism by integrating three pivotal dimensions: (i) canonical signaling cascades; (ii) tumor-microenvironmental variables, most notably hypoxia and acidosis; and (iii) the emerging epigenetic paradigm of lactylation, which dynamically reprograms the catalytic efficiency of rate-limiting enzymes and reshapes the transcriptional landscape of metabolic genes, thereby precisely coordinating lactate homeostasis. …”
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Perinatal bisphenol A exposure impairs gut microbial colonization: Implications for offspring obesity and neurodevelopment by Ana López-Moreno, Alfonso Torres-Sánchez, Antonio Suárez, Alicia Ruiz-Rodríguez, Margarita Aguilera

“…Toxicological approaches in animal models have revealed complex effects, using variable doses of BPA, on reproduction, development, obesity, immune function, metabolic and systemic toxicity. …”
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The Role of the Gut Microbiome in Exercise-Induced Inflammation and Recovery: A Narrative Review by Stanisław Dudek, Weronika Koziak, Aleksandra Bętkowska, Agata Kornacka, Kamila Szostak, Rafał Tomaka, Michalina Makieła, Wojciech Dudek, Anna Byra

“…While moderate exercise enhances immune function and microbial diversity, excessive training can lead to gut dysbiosis, increased intestinal permeability, and chronic inflammation. …”
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Evaluation of the efficacy of hydrated sodium calcium aluminosilicate at mitigating the negative impact of aflatoxicosis on nutrient digestibility and other production- and health-... by Ahmed Ali Saleh, Rashed A. Alhotan, Mohammed A.A. Al-Badwi, Elsayed Osman Hussein, Livio Galosi, Giuseppe Crescenzo, Mahmoud Alagawany, Walied Abdo, Sara Mahmoud Omar, Claudia Zizzadoro

“…Interestingly, some of the production- and health-related variables investigated showed significant improvement even when compared with control chickens. …”
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A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin el... by Manning Li, Sixun Jia, Han Wu, Chunyi Shou, Xiaolu Song, Ye Peng, Huafang Wang, Ying Wang, Xiangmin Tong, Yirui Chen

“…Laboratory indicators, including complete blood count, biochemistry, coagulation function, and immunoglobulin markers, were collected. …”
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New Patient PROMIS Scores of Patients Presenting with Low Back Pain Predict Time to Elective Spine Surgery by Justin E. Kung, Chase Gauthier, Yianni Bakaes, Michael Spitnale, Richard A. Bidwell, David G. Edelman, Heidi C. Ventresca, J. Benjamin Jackson, Shari Cui, Gregory Grabowski

“…A chart review was conducted to collect sociodemographic variables, clinic visit details, and PROMIS domain scores (PF [Physical Function], PI [Pain Interference], Depression, and Global Health―Physical and Global Health―Mental). …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…The predictive outputs of these models may serve as surrogate biomarkers of the aging process, capturing functional decline.…”
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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
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