High-accuracy crRNA array assembly strategy for multiplex CRISPR by Xiangtong Zhao, Lixian Yang, Peng Li, Zijing Cheng, Yongshi Jia, Limin Luo, Aihong Bi, Hanchu Xiong, Haibo Zhang, Hongen Xu, Jinrui Zhang, Yaodong Zhang

“…Here, we present a novel, highly accurate, cost-, and time-saving strategy for CRISPR array assembly. Using this strategy, we efficiently assembled 12 CRISPR RNAs (crRNAs) (for AsCas12a) and 15 crRNAs (for RfxCas13d) in a single reaction. …”
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An Intelligent Optimization Strategy Based on Deep Reinforcement Learning for Step Counting by Zhoubao Sun, Pengfei Chen, Xiaodong Zhang

“…To solve the problems that the existing algorithms use threshold to filter noise, and the parameters cannot be updated in time, an intelligent optimization strategy based on deep reinforcement learning is proposed. …”
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Digitalization, as focal tactical strategy, within collaborativelearning; case study: Mathematics by Williams Basantes-Valverde, Daysi Astudillo-Condo, Katherine Tixi-Gallegos

“…Thus, digital connection isconsidered as the driving force of learning and its competencies are focus strategies. As muchas these serve as educational tools in the digital age, they promote knowledge and expose,as derivation, cognitive thinking; safeguarding, in the classroom universe, competencies as astandard and establishing digitalization as the foundation of learning. …”
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Degenerative Cervical Spondylosis: Natural History, Pathogenesis, and Current Management Strategies by Joseph S. Butler, F. Cumhur Öner, Ashley R. Poynton, John M. O'Byrne

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Pengolahan Rambut Jagung Untuk Teh Herbal Dan Strategi Pemasarannya by Leffy Hermalena, Herda Gusvita, Nita Yessirita, Bustari Badal, Rera Aga Salihat, Rera Agung Syukra, Inawaty Sidabalok, Henny Puspita Sari, Rina Febrinova

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Link optimization strategy based on spectral moment in wireless sensor network by Qing-song CAI, Xi-hou CHEN

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Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria by R. Vazov, R. Kanazireva, T.V. Grynko, O.P. Krupskyi

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Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network by Xue JIANG, Liang ZHAO

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Developing climate governance strategies in Nigeria: An emphasis on methane emissions mitigation by Onwusameka Sonny Ogbowuokara, Tambari Gladson Leton, John Nwenearizi Ugbebor, Ochuko Felix Orikpete

“… In the face of escalating global climate change concerns, nations, including Nigeria, are urged to enhance their climate governance strategies. Nigeria, a key player in Africa and particularly susceptible to climate change, confronts the critical task of addressing and mitigating its greenhouse gas emissions, with a significant focus on methane. …”
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Metacognitive strategies improve self-regulation skills in expert sports coaches by Stanislav Sabaliauskas, Donatas Gražulis, Nelė Žilinskienė, Tomas Kaukėnas

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The Ikat Weaving Industry in Kediri: Characteristics and Strategies for Development, 1966-2014 by Feri Sofiantoro, Endang Susilowati, Alamsyah Alamsyah

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Network slicing with spectrum sharing strategy in cognitive capacity harvesting network by Jie HUANG, Fan YANG, Yingzhao XIE, Xun ZUO, Tian QIU

“…To realizing the network slice with spectrum sharing in cognitive capacity harvesting network, a spectrum sharing strategy was proposed based on 4D conflict graph and opportunistic capacity.Firstly, a 4D conflict graph model for mesh network was built and a method to achieve the node sets with conflict free was proposed.Then, the opportunistic capacity model of spectrum sharing was established and the opportunistic capacity of the unlicensed channel was derived.Finally, the spectrum sharing strategy based on 4D conflict graph and opportunistic capacity was proposed for cognitive capacity harvesting network.The simulation results show that compared with existing algorithms, the proposed algorithm can effectively utilize opportunistic spectrum resources and further improve channel utilization.…”
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An Improved Integrated Scheduling Algorithm with Process Sequence Time-Selective Strategy by Zhen Wang, Xiaohuan Zhang, Gang Peng

“…The integrated scheduling algorithm of process sequence time-selective strategy (ISAOPSTSS) is an advanced algorithm in the field of integrated scheduling. …”
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Intelligent Recommendation of Multi-Scale Response Strategies for Land Drought Events by Lei He, Yuheng Lei, Yizhuo Yang, Bin Liu, Yuxia Li, Youcai Zhao, Dan Tang

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Design of strategies for the process of digitalisation and technological modernisation in social services organisations. by Aleix Morilla-Luchena, Teresa Gómez-Rasco, Rocío Muñoz Moreno, Octavio Vázquez-Aguado

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Insights into the enhancement of food flavor perception: strategies, mechanism and emulsion applications by Luyao Huang, Yujie Dai, Fan Zhang, Longtao Zhang, Baodong Zheng, Yi Zhang

“…The analysis of bibliometric results from 2002 to 2022 reveals that present flavor perception enhancement strategies (changing ingredient formulations, adding salt/sugar substitutes, emulsion delivery systems) are mainly carry out based on sweetness, saltiness and umami. …”
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Convertible Bonds with Higher Loan Rate: Model, Valuation, and Optimal Strategy by Haiyang Wang, Zhen Wu

“…By virtue of reflected BSDEs and Malliavin derivatives, we establish the formulae for the fair price of convertible bonds and the hedging portfolio strategy explicitly. We also obtain the optimal conversion time when there is no dividends-paying for underlying common stocks. …”
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Strategi Koping Stres Siswa SMA dalam Menghadapi UTBK 2021 by Salma Fa'izah, Ika Yuniar Cahyanti

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Adaptive Strategies Based on Differential Evolutionary Algorithm for Many-Objective Optimization by Yifei Sun, Kun Bian, Zhuo Liu, Xin Sun, Ruoxia Yao

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Wakeup strategy based on multi-objective optimization for fixed relay nodes by Xue-bin MA, Ai-li LI, Xiao-juan ZHANG

“…In order to deal with the “tidal effect” when people move in the city and solve the problem of high energy consumption of fixed relay nodes in opportunistic networks,a wakeup strategy of multi-objective optimization was proposed,which made use of the message forward ability and energy consumption of fixed relay nodes.This strategy used energy efficiency as the indicator to make the nodes awake,and deployed a network revenue-energy consumption model to resolve the contradiction between energy consumption and message forward ability.As the selection problem of awake relay nodes was a NP-hard problem,genetic algorithm was used to select proper fixed relay nodes to keep awake.In this process,selection operator was improved to make the algorithm converge to solution space quickly.Experiments show that the proposed wakeup strategy can guarantee the successful rate of message transmission and improve the average message forwarding capabilities of fixed relay nodes by consuming a unit energy.…”
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