Engineering novel CRISPRi repressors for highly efficient mammalian gene regulation by Andrew Kristof, Krithika Karunakaran, Christopher Allen, Paula Mizote, Sophie Briggs, Zixin Jian, Patrick Nash, John Blazeck

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DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

“…This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. …”
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The Impact of the Preferential Attachment Level on the Innovation Network Structure and Innovation Efficiency by Lei Hua, Zhong Yang, Jiyou Shao, Dan Jin

“…In the formation process of innovation networks, the level of preferential attachment between agents has an important impact on the resulting structural and functional characteristics of a network. A simulation model of innovation networks with variable preferential levels of attachment is established to study these impacts. …”
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An innovative high-throughput genome releaser for rapid and efficient PCR screening by Guoliang Yuan, Aljon Salalila, Sungjoo Hwang, Zhiqun Daniel Deng, Zhiqun Daniel Deng, Shuang Deng

“…Additionally, we developed software to support its automated functions. Our results demonstrated that the specially engineered 96-well plate and HTGR effectively squash fungal spores, releasing sufficient genomic DNA for PCR screening with 100% efficiency. …”
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Experimental analysis of innovative perforated heat sinks for enhanced photovoltaic efficiency by Sebastian-Valeriu Hudișteanu, Nelu-Cristian Cherecheș, Florin-Emilian Țurcanu, Iuliana Hudișteanu, Marina Verdeș, Ana-Diana Ancaș

“…The experimental setup was placed on a roof terrace, exposing the panels to real-world weather and functional conditions. Each cooling solution, designed with variable characteristics, aimed to efficiently dissipate heat generated by the PV panels, particularly during warmer seasons. …”
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Short light/dark cycles favour photosynthetic efficiency and growth in grapevines by Mariana Gómez Tournier, Laurent Torregrosa, Jana Kändler, Angélique Christophe, Romain Boulord, Anna Medici, Anne Pellegrino

“…We evaluated photosynthetic efficiency, leaf growth, biomass production and partitioning, and resource use efficiency (water and light). …”
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EVALUATION OF SUBSOIL MASSIF STABILITY TAKING INTO ACCOUNT THE IRREGULARITY OF CONSTITUENT ROCKS ON THE BASIS OF A RANDOM SIZE AND FUNCTION MODEL by M. O. Allaev

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Arbitrary Random Variables and Wiman’s Inequality by Andriy Kuryliak, Oleh Skaskiv, Andriy Bandura

“…We study the class of random entire functions given by power series, in which the coefficients are formed as the product of an arbitrary sequence of complex numbers and two sequences of random variables. …”
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Plant growth regulators improve the yield of white lupin (Lupinus albus) by enhancing the plant morpho-physiological functions and photosynthesis under salt stress by Muhammad Zahid Ihsan, Shamshad Kanwal, Shah Fahad, Waqas Shafqat Chattha, Abeer Hashem, Elsayed Fathi Abd-Allah, Mumtaz Hussain, Ali Ahsan Bajwa

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Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…Applying the variables screening technique can enhance the efficiency of the airfoil optimization process under acceptable accuracy.…”
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Brain activation and heart rate variability as markers of autonomic function under stress by Annika Huber, Julian Koenig, Bastian Bruns, Martin Bendszus, Hans-Christoph Friederich, Joe J. Simon

“…Since the neural dynamics underlying brain–heart interactions remain poorly understood, this study investigated brain activation and heart rate variability (HRV) during stress and relaxation. Functional magnetic resonance imaging (fMRI) and peripheral heart rate assessment were used to assess brain–heart coupling during breathing-induced relaxation, psychosocial stress and stress recovery in 32 healthy participants. …”
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The analysis of the "Theory of functions of the complex variable" test with attraction of models Russia and Birnbaum by Lidia A. Muratova

“…In work the analysis of the "Theory of Functions of a Complex Variable" test is carried out. …”
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An Efficient Coupled Genetic Algorithm-NLP Method for Heat Exchanger Network Synthesis

“…Solving such problems leads to difficulties in the optimization of continuous and binary variables. This paper presents a new efficient and robust method in which structural parameters are optimized by genetic algorithm (G.A.) and continuous variables are handled due to a modified objective function for maximum energy recovery (MER). …”
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Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods by Yunxia He, Mingliang Luo, Hui Yang, Leichao Bai, Zhongsheng Chen

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Effects of adjustable and control parameters on performance characteristics of multi-controlled variable displacement pump by Duy-Dat Nguyen, Dinh-Vu Dang, Minh-Kha Nguyen, Van-Hai Trinh

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The Gini coefficient and discontinuity by Jens Peter Kristensen

“…This article reveals a discontinuity in the mapping from a Lorenz curve to the associated cumulative distribution function. The problem is of a mathematical nature—based on an analysis of the transformation between the distribution function of a bound random variable and its Lorenz curve. …”
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Evaluation of the Efficiency of Metaheuristic Algorithms in the Optimal Design of Pile Wall Retaining Systems by Farshad Taiyari

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An efficient eigenvector-based crossover for differential evolution: Simplifying with rank-one updates by Tae Jong Choi

“…We propose a new approach to enhancing the efficiency of the differential evolution (DE) algorithm, specifically targeting rotational invariance. …”
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Photocatalytic Efficiency of TiO2-Biomass Loaded Mixture for Wastewater Treatment by Devagi Kanakaraju, Soon Pang Wong

“…The objective of this study was to assess the efficiency of a novel TiO2/modified sago bark (TiO2/MSB) mixture for the degradation of sago wastewater effluent by employing response surface methodology (RSM) using chemical oxygen demand (COD) removal as the target parameter. …”
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Demonstrating Efficient and Robust Bosonic State Reconstruction via Optimized Excitation Counting by Tanjung Krisnanda, Clara Yun Fontaine, Adrian Copetudo, Pengtao Song, Kai Xiang Lee, Ni-Ni Huang, Fernando Valadares, Timothy C.H. Liew, Yvonne Y. Gao

“…In this work, we introduce an efficient and robust technique of optimized reconstruction with excitation-number sampling (ORENS) based on the idea of the generalized Q function. …”
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