MSTN knockout enhances the production of MYOD1-mediated steak-type cultivated meat by Kyeong-Hyeon Eom, Dayi Jeong, Jae-Yoon Choi, Gyeong-Min Gim, Soo-Young Yum, Sumin Jin, Hojae Bae, Goo Jang

“…This study aimed to enhance the productivity of cultivated meat through optimization of the cell source and organization process. …”
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Nanoscale Porphyrin-Based Metal–Organic Frameworks for Enhanced Radiotherapy–Radiodynamic Therapy: A Comprehensive Review by Bin Gong, Qiuyun Zhang, Yijie Qu, Xiaohua Zheng, Weiqi Wang

“…The phototherapeutic applications of porphyrin-based nanoscale metal–organic frameworks (nMOFs) are limited by the poor penetration of conventional excitation light sources into biological tissues. Radiodynamic therapy (RDT), which directly excites photosensitizers using X-rays, can overcome the issue of tissue penetration. …”
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Expression and purification of recombinant human granulocyte colony‐stimulating factor (rG‐CSF) from Pichia pastoris by Enny Rimita Sembiring, Asrul Muhammad Fuad, Herman Suryadi

“…Overall, the study results indicated that the production and purification of rG‐CSF was successful, although optimization was required. The long‐term goal of this research is to discover alternative methods and sources for producing biosimilars of the therapeutic protein rG‐CSF, which can be utilized in the pharmaceutical industry to support health programs, particularly cancer treatment.…”
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China's CCUS technology challenges and countermeasures under “double carbon” target by YE Xiaodong,CHEN Jun,CHEN Xi,WANG Haimei,WANG Huijun

“…These countermeasures are as follows: ①Diversified integration of different carbon capture methods to achieve cost reduction at the source based on the characteristics of different emission sources; ②Tackling multi-objective optimization techniques, coordinating and optimizing oil recovery efficiency and CO2 storage rate; ③Continuously developing new catalysts to accelerate the conversion reaction of CO2 and improve conversion efficiency; ④Fully draw on the carbon tax policies of countries such as the United States and Australia, explore fiscal and tax incentive policies suitable for China's CCUS industry, increase economic benefits, and enhance enterprise enthusiasm; ⑤Establish a series of standard specifications covering all aspects of the CCUS entire chain, guide the implementation of engineering construction, and reduce enterprise risks from a standardized perspective. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…The EM problem tackled involves optimizing the scheduling of multiple energy sources, including diesel generators, PV units, and batteries, within a smart building context. …”
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Current status and prospects of research on the pollution and treatment technologies of per- and polyfluoroalkyl substances by Xuejiao Tang, He Yang, Xinya Li, Cuiping Wang

“…Additionally, it provides a forward-looking perspective on future research directions, compares the principles, applications, efficiency, and cost-effectiveness of different technologies, and proposes a novel evaluation framework to guide technology selection and optimization. Compared to previous studies, this article offers a more comprehensive and systematic review of PFAS treatment technologies, aiming to serve as a valuable reference for developing advanced PFAS removal methods.…”
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Digital Marketing Tools in an Advertising Campaign in Foreign Markets by Rozhko Viktor I., Shchelkova Anna V.

“…The efficiency of each tool was evaluated on the basis of information obtained from scientific sources, using observational and abstract methods, as well as comparative analysis. …”
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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Automated Bell inequality violation searches for estimating entanglement quality in fiber by Evan Dowling, Gerald Baumgartner, Richard Brewster, Mark Morris, Anne Marie Richards, Rajarshi Roy, Thomas E. Murphy

“…The iterative methods used within our experiment are the Nelder–Mead optimization method, stochastic gradient descent, and Bayesian optimization. …”
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Production and biochemical characterization of freeze-dried blueberry juice from enzymatically processed berries by E. A. Alekseenko, N. Yu. Karimova, G. V. Semenov, I. S. Krasnova, O. E. Bakumenko

“…This direction allows complex problem solving regarding seasonality of berry processing with optimization of logistics costs, extension of the geography of sources of raw material supply while preserving high sensory properties of a freeze-dried product. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The region truncation-based optimization method is employed to simplify the computational process in stochastic model updating. …”
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Problems in measurement of integrated sensitivity of photodetectors by I. V. Doktorovich, V. N. Hodovaniouk, V. G. Yuryev, V. G. Zhytaryuk

“…The research work deals with the problems in measurement of integral sensitivity of photodetectors, which arise while using them in standard methods of visible and infrared radiation of the sources of radiation with different spectral composition of the flow. …”
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A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal, Ayan Kumar Bandyopadhyay, Chaitali Koley, Debasish Pal, Taha Selim Ustun, Ahmet Onen

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. …”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…Different dynamics related to the energy sources can affect the design and operation of the integrated systems. …”
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Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
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Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches by Fatemeh Mohammadinia, Ali Ranjbar, Fatemeh Ghazi, Seyyed Taha Hosseini

“…Abstract Accurately estimating the Rate of Penetration (ROP) in drilling operations remains a significant challenge due to the limitations of traditional approaches, which are often characterized by low accuracy and reliance on empirical equations with assumed coefficients. These methods, while optimized for specific fields, often fail to generalize across different geological contexts. …”
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Hydrochemical Characteristics and Formation Mechanism of Strontium-Rich Groundwater in Shijiazhuang, North China Plain by Duo Li, Shuang Gan, Junfeng Li, Zihan Dong, Qi Long, Shuwei Qiu, Yahong Zhou, Changyu Lu

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Providing a Robust Dynamic Pricing Model and Comparing It with Static Pricing in Multi-level Supply Chains Using a Game Theory Approach by Sara Mehrjoo, Hanan Amoozad Mahdirji, Jalil Heidary Dahoei, Seyyed Hossein Razavi Haji Agha, Mahnaz Hosseinzadeh

“…Ultimately, the outcomes of the two pricing methods were compared.   Results This article introduces the development of a stochastic demand function utilizing genetic algorithms and particle optimization. …”
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Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

“…In the exploitation stage, overutilization of optimal solution information led to premature convergence. …”
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