Understanding the Complexity of the Food System: Differences and Commonalities between Two Optimization Models by Samantha N. Heerschop, Renee P. M. Cardinaals, Sander Biesbroek, Argyris Kanellopoulos, Johanna M. Geleijnse, Pieter van ‘t Veer, Hannah H. E. van Zanten

“…Methods: we compared the Circular Food System (CiFoS) model with the Sustainable, Healthy, Acceptable, Realistic, and Preferable diets (SHARP) model. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.ConclusionThe purpose of this research was to design an entrepreneurship ecosystem model in a university. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…MethodsThis study comprehensively evaluated 7 NER models—hidden Markov models, conditional random fields, BERT for Biomedical Text Mining, Big Transformer Models for Efficient Long-Sequence Attention, Decoding-enhanced BERT with Disentangled Attention, Robustly Optimized BERT Pretraining Approach, and Gemma—across 3 medical datasets: Revised Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA), BioCreative V CDR, and Anatomical Entity Mention (AnatEM). …”
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Selecting Single Model in Combination Forecasting Based on Cointegration Test and Encompassing Test by Chuanjin Jiang, Jing Zhang, Fugen Song

“…Combination forecasting takes all characters of each single forecasting method into consideration, and combines them to form a composite, which increases forecasting accuracy. …”
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GMPC Material Surface Bonded with FBG Magnetic Field Sensing Technology by LIU Chi, SHEN Tao, YANG Tianyu, FENG Yue, LIU Xin, LI Yunqiang, YUAN Yue

“…In this process, the finite element analysis method is used to establish the material simulation model under the magnetic field environment to realize the qualitative analysis of the material. …”
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Probiotic potential of Phocaeicola coprocola in modulating learning and memory behaviors in the honeybee model by Mengqi Xu, Mengqi Xu, Xiaohan Zhang, Xiaohan Zhang, Xi Luo, Guanzhou Zhou, Guanzhou Zhou, Nana Zhang, Xiaoyan Chi, Xiaoyan Chi, Rongrong Ren, Lihua Peng, Gang Sun, Yunsheng Yang, Yunsheng Yang

“…However, its functional roles and underlying mechanisms remain poorly understood.MethodsWe evaluated the effects of P. coprocola on cognitive performance using the honeybee (Apis mellifera) as a novel model for the microbiota–gut–brain axis. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…In order to solve the problems of high energy consumption and high reliance on manual annotation data of traditional intelligent attack detection methods in UAV networks, a lightweight UAV network online anomaly detection model based on a double-layer memory-enhanced autoencoder integrated architecture was proposed. …”
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Statistical Modeling of Environmental Factors on Microbial Urea Hydrolysis Process for Biocement Production by Hamed Khodadadi Tirkolaei, Huriye Bilsel

“…Variation in conductivity of the solution versus logarithmic scale of time was depicted as microbial ureolysis characteristic curve (MUCC) through which lag duration, specific rate, and potential of urea hydrolysis at each condition were obtained. Central composite face-centered (CCF) design, which is one of the response surface methodologies, was employed to statistically fit polynomial models explaining the bacterial growth and the characteristics obtained from MUCCs in terms of the environmental factors and their interactions. …”
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Slug Self-Propulsion in a Capillary Tube Mathematical Modeling and Numerical Simulation by M. I. Khodabocus, M. Sellier, V. Nock

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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…For the design of mobile phases for the separation of mixtures of BAS of plant origin, in a thin layer of sorbent, the following approaches are used: literary sources; standard mobile phases; spot elution method; the scheme proposed by the firm Camag (Switzerland); model "PRISMA"; variocameras and others. …”
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An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction by Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo

“…Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. To improve model interpretability, the SHapley Additive Explanations (SHAP) method was applied to assess feature importance. …”
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Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model by Yishan Chen, Harison Kiplagat Kipkulei, Zhiqiang Xie, Stefan Sieber

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THE METHOD OF CALCULATION AND ANALYSIS OF HEAT TRANSFER COEFFICIENT OF BIMETALLIC FINNED TUBES OF AIR COOLING UNITS WITH IRREGULAR EXTERNAL CONTAMINATION by V. V. Dudarev, S. O. Filatаu, T. B. Karlovich

“…Under such conditions the thickness of the pollution layer at the base of the fins becomes much greater than at the rest of the finned surface. The suggested method is based on a mathematical model developed with the use of the method of electrothermal analogy, whereby the heat flow through the wall of the finned tube is considered as divided into two components, viz. through the annular layer of outside contamination adjacent to the base of the ribs, and through the remaining part of the external ribbed surface covered with a thin layer of pollution. …”
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Three-Dimensional Mesoscopic DEM Modeling and Compressive Behavior of Macroporous Recycled Concrete by Yupeng Xu, Fei Geng, Haoxiang Luan, Jun Chen, Hangli Yang, Peiwei Gao

“…The mesoscopic-scale discrete element method (DEM) modeling approach demonstrated high compatibility with macroporous recycled concrete (MRC). …”
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A Global Systematic Review and Meta‐Analysis of Methods Used to Evaluate Predation and Diet of Domestic Cats (Felis catus) by Hannah L. Lockwood, Maren Huck

“…Domestic cats (Felis catus) can cause declines in select prey species around the world, and multiple methods are employed to monitor cat diet and predatory habits. …”
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Efficient Phosphorus capture from treated sanitary wastewater using a waste-derived SiO2@FeOOH composite: Robustness, Ca2+ interactions, and recovery perspectives by Renan S. Nunes, Gabriela T.M. Xavier, Alessandro L. Urzedo, Pedro S. Fadini, Marcio Romeiro, Wagner A. Carvalho

“…As a result, the behavior of the adsorbent under controlled conditions was successfully modeled, and relevant interactions between the material and Ca2+ ions were identified under simulated conditions. …”
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Comparative effectiveness of glucagon-like peptide-1 receptor agonists on body composition and anthropometric indices: A protocol for a systematic review and network meta-analysis... by Nuttaya Wachiraphansakul, Thanawat Vongchaiudomchoke, Worapaka Manosroi, Surapon Nochaiwong

“…Based on a random-effects model, we will employ a two-step approach of traditional pairwise meta-analysis and network meta-analysis for quantitative synthesis. …”
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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

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Influence of a structured, 1-year-long dietary intervention regarding body composition and cardiovascular risk (ARCTIC) in coeliac disease: a protocol of a multicentre randomised c... by Zsolt Szakács, Nelli Farkas, Judit Bajor, Nándor Faluhelyi, Krisztina Hagymási, Zsófia Vereczkei, Míra Zsófia Peresztegi, Klára Lemes, Sarolta Dakó, Eszter Dakó, Szilvia Lada, Gábor Szekeres, Gyula Pásztor, Gabriella Pár, Emese Mezősi

“…Outcomes include anthropometric parameters (body composition analysis including weight, Body Mass Index, fat mass, per cent body fat, skeletal muscle mass, visceral fat area and total body water) and CV risk-related metabolic parameters (eg, lipid profile, homocysteine, fasting glucose, haemoglobin A1c, Homeostatic Model Assessment Index, metabolic hormones, waist circumference, blood pressure, liver function tests, liver steatosis rate and diet composition). …”
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Multi-Physics Field Based Simulation on the Response and Saturation Properties of Hg_1-xCd_xTe Based Photovoltaic Detectors With Composition Gradients by Jiahui Chen, Wangyong Chen, Linlin Cai, Haifeng Chen, Pengling Yang, Dahui Wang, Manling Shen, Xiangyang Li, Hui Qiao

“…The IF structure has the best current response at illumination intensities below 20 W/cm², with the peak responsivity of the nonlinear model exceeding 2.8 A/W. The VF structure has the best current response at illumination intensities above 20 W/cm² and exhibits the best saturation characteristics, with its saturation threshold consistently above 15 W/cm², while the PF structure with nonlinear increasing (nInc) compositional gradient exhibits excellent linearity of response under conditions of high illumination intensity. …”
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