qBiCo: a method to assess global DNA conversion performance in epigenetics via single-copy genes and repetitive elements by Faidra Karkala, Roy B. Simons, Floor Claessens, Vivian Kalamara, Manfred Kayser, Athina Vidaki

“…Depending on the starting DNA quantity, bisulfite-converted DNA recoveries ranged from 8.5 to 100%, conversion efficiencies from 78 to 99.9%, while certain kits highly fragment DNA, demonstrating large variability in their performance. …”
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Nonsense-mediated mRNA decay and loss-of-function of the protein underlie the X-linked epilepsy associated with the W356× mutation in synapsin I. by Maila Giannandrea, Fabrizia C Guarnieri, Niels H Gehring, Elena Monzani, Fabio Benfenati, Andreas E Kulozik, Flavia Valtorta

“…Given that the NMD efficiency is highly variable among individuals and cell types, we investigated also the effects of expression of the mutant protein and found that it is expressed at lower levels compared to wild-type synapsin I, forms perinuclear aggregates and is unable to reach presynaptic terminals in mature hippocampal neurons grown in culture. …”
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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…The Taguchi design of experiments and desirability function analysis were employed to establish a baseline. …”
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Eficiência técnica na suinocultura: efeitos dos gastos com meio ambiente e da renúncia fiscal Technical efficiency in swine breeding: effect of the expenses with the environment an... by Benedito D. Pereira, João C. de S. Maia, Rosalina Camilot

“…After estimating the technical efficiency indices with data of ten properties situated in Mato Grosso from production functions, whose dependent variable is represented by the production of swine and the independent ones are the consumption of water, electricity and the amount of workers directly tied with the productive process. …”
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Methodology for assessing the spherical plain bearings durability by V. K. Harina, O. A. Ratenko, G. B. Vardanyan

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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. …”
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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
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Study on Operation Control Strategy for Campus Public Building Heating Systems in Severe Cold Areas by Chuntian Lu, Shourui Xue, Yuetong Zhang, Songqing Wang

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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

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Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL MODEL BASED ON ADAPTIVE SURROGATE MODEL by LIU YuZhuo, CAO LiXiong, WU JianGuo, LI HaiBo

“…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters，the Reliability-Based Design Optimization （RBDO） can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive agent model was proposed.This method solves the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion，and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally，the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt by Jiquan Chen, Ranjeet John, Venkatesh Kolluru, Elizabeth A Mack, Peilei Fan, Jing Yuan, Zutao Ouyang, Jingyan Chen, Pavel Groisman, Changliang Shao, Amarjargal Amartuvshin, Garik Gutman

“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
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West Nile Virus Vaccine Design by T Cell Epitope Selection: In Silico Analysis of Conservation, Functional Cross-Reactivity with the Human Genome, and Population Coverage by Frances M. Waller, Pedro A. Reche, Darren R. Flower

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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

“…Methods of formalizing material flows created in certain knots of structure-and-functional diagram of the mixture producing aggregate are considered, that are founded on transforming one-dimensional initial flow signals into multi-dimensional ones. …”
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Multiobjective optimization of Murta (Ugni molinae Turcz) juice lactic acid fermentation with monocultures and cocultures of Lactobacillus acidophilus and Lactiplantibacillus plant... by C.J. Gomes-Lobo, R. Luna, A. Rodríguez-Machado, J.R. Pérez-Correa, W. Franco

“…These findings highlight the practical utility of MOO-MCDM for designing efficient multiobjective fermentation processes in functional food development.…”
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Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

“…However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. Traditional decision-making approaches often struggle with this uncertainty, leading to suboptimal choices that can reduce efficiency and increase operational costs. …”
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Community re-entry program on global functioning and medication adherence among bipolar affective disorder patients- A randomized controlled trial pilot study by Jaishri, Sreevani Rentala, Preethy Kathiresan, Mukesh Swami

“…This quantitative study to explores the effectiveness of community re-entry program on global functioning and medication adherence for patients with bipolar affective disorder. …”
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