bluuebunny/crossref_metadata_2025_split huggingface dataset:
Encoding Thiol Metabolite Information into a DNA Sequence by Disulfide Exchange Reaction on Oligodeoxynucleotides for Parallel Analysis of the Metabolite and mRNA
Authors: Motohashi Yuto , Moritani Shuhei , Nishihara Tatsuya , Tanabe Kazuhito 
Published: August 2023

AbstractWe designed a methodology to encode the thiol metabolite information into a DNA sequence. Thiol metabolites, such as glutathione (GSH) significantly contributes to regulating redox balance in the cells. We constructed a molecular system to quantify GSH by releasing DNA from magnetic beads upon the disulfide exchange reaction. We designed the molecular system as follows: for the conversion of thiol metabolite information into DNA sequence, we used a disulfide exchange reaction between the disulfide (reaction site) tethered oligonucleotide and thiol group of target metabolites. GSH and mRNA in the cell extract were successfully quantified from the samples obtained by DNA encoding and reverse transcription. The present protocol allowed parallel analysis of thiol metabolite and mRNA.
Terephthalic Acid Intercalated CoNi‐LDH Materials for Improved Li–O2 Battery
Authors: Lin Yuran , Zhang Yu , Bao Jindi , Qiu Jiachen , Guo Donghua , Zhang Shuting , Yuan Mengwei , Sun Genban , Nan Caiyun 
Published: August 2023

AbstractCoNi‐LDH (layered CoNi double hydroxides) hollow nanocages with specific morphology are obtained by Ni ion etching of ZIF‐67 (Zeolitic imidazolate framework‐67). The structure of the layered materials is further modified by molecular intercalation. The original interlayer anions are replaced by the ion exchange effect of terephthalic acid, which helps to increase the interlayer distance of the material. The intercalated cage‐like structures not only benefit for the storage of oxygen, and the discharge product reaction, but also have more support between the material layers. The experimental results show that the excessive use of intercalation agent will affect structural stability of the intercalated CoNi‐LDH. By adjusting the amount of terephthalic acid, the intercalated CoNi‐LDH‐2 (with 0.02 mmol terephthalic acid intercalated) is not easy to collapse after 209 cycles and shows the best electrochemical performance in Li–O2 battery.
Hierarchical 3D Electrode Design with High Mass Loading Enabling High‐Energy‐Density Flexible Lithium‐Ion Batteries
Authors: Han Dong‐Yeob , Son Hye Bin , Han Sang Hyun , Song Chi Keung , Jung Jaeho , Lee Sangyeop , Choi Su Seok , Song Woo‐Jin , Park Soojin 
Published: August 2023

AbstractFlexible lithium‐ion batteries (LIBs) have attracted significant attention owing to their ever‐increasing use in flexible and wearable electronic devices. However, the practical application of flexible LIBs in devices has been plagued by the challenge of simultaneously achieving high energy density and high flexibility. Herein, a hierarchical 3D electrode (H3DE) is introduced with high mass loading that can construct highly flexible LIBs with ultrahigh energy density. The H3DE features a bicontinuous structure and the active materials along with conductive agents are uniformly distributed on the 3D framework regardless of the active material type. The bicontinuous electrode/electrolyte integration enables a rapid ion/electron transport, thereby improving the redox kinetics and lowering the internal cell resistance. Moreover, the H3DE exhibits exceptional structural integrity and flexibility during repeated mechanical deformations. Benefiting from the remarkable physicochemical properties, pouch‐type flexible LIBs using H3DE demonstrate stable cycling under various bending states, achieving a record‐high energy density (438.6 Wh kg−1 and 20.4 mWh cm−2), and areal capacity (5.6 mAh cm−2), outperforming all previously reported flexible LIBs. This study provides a feasible solution for the preparation of high‐energy‐density flexible LIBs for various energy storage devices.
Effectiveness of keigairengyoto in patients with chronic rhinosinusitis after endoscopic sinus surgery
Authors: Ikemiyagi Hidetaka , Hatakeyama Hiromitsu , Isono Yasuhiro , Kuwahara Tatsu , Oki Yamato , Ninomiya Hiroaki , Yaguchi Ayaka , Fukui Kenta , Oridate Nobuhiko 
Published: August 2023

AbstractAimThis study sought to investigate the efficacy of keigairengyoto (KRT, TJ‐50), a Japanese traditional medicine, in the regulation of bacterial infections and treatment of chronic rhinosinusitis.MethodsPatients undergoing endoscopic sinus surgery (ESS) were randomized into two groups: one receiving low‐dose macrolide (n = 13) and the other concurrent KRT (n = 9) for 12 weeks. They were evaluated by Sino‐Nasal Outcome Test‐22 (SNOT‐22), an olfactory survey based on a visual analog scale and bacteria survey. The type of bacteria and number of colony‐forming units were examined 12 weeks after the ESS.ResultsBoth groups showed improvement in the total SNOT‐22 score and olfactory survey. The increase in the number of bacteria was clearly suppressed in the KRT group as compared with the non‐KRT group.ConclusionKRT appears to be a promising agent for the regulation of bacterial growth during postoperative treatment for chronic sinusitis.
Temporally gene knockout using heat shock–inducible genome‐editing system in plants
Authors: Liang Zhen , Wei Sha , Wu Yuqing , Guo Yingjie , Zhang Ben , Yang Honghu 
Published: August 2023

AbstractClustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR‐associated nuclease 9 (Cas9) has emerged as a powerful tool to generate targeted loss‐of‐function mutations for functional genomic studies. As a next step, tools to generate genome modifications in a spatially and temporally precise manner will enable researchers to further dissect gene function. Here, we present two heat shock–inducible genome‐editing (IGE) systems that efficiently edit target genes when the system is induced, thus allowing us to target specific developmental stages. For this conditional editing system, we chose the natural heat‐inducible promoter from heat‐shock protein 18.2 (HSP18.2) from Arabidopsis thaliana and the synthetic heat–inducible promoter heat shock–response element HSE‐COR15A to drive the expression of Cas9. We tested these two IGE systems in Arabidopsis using cyclic or continuous heat‐shock treatments at the seedling and bolting stages. A real‐time quantitative polymerase chain reaction analysis revealed that the HSP18.2 IGE system exhibited higher Cas9 expression levels than the HSE‐COR15A IGE system upon both cyclic and continuous treatments. By targeting brassinosteroid‐insensitive 1 (BRI1) and phytoene desaturase (PDS), we demonstrate that both cyclic and continuous heat inductions successfully activated the HSP18.2 IGE system at the two developmental stages, resulting in highly efficient targeted mutagenesis and clear phenotypic outcomes. By contrast, the HSE‐COR15A IGE system was only induced at the seedling stage and was less effective than the HSP18.2 IGE system in terms of mutagenesis frequencies. The presented heat shock–IGE systems can be conditionally induced to efficiently inactivate genes at any developmental stage and are uniquely suited for the dissection and systematic characterization of essential genes.
Bayesian Inversion of a Non-linear Dynamic Model for Stockbridge Dampers
Authors: Campos Damián , Ajras Andrés , Goytiño Lucas , Piovan Marcelo 
Published: August 2023

AbstractStockbridge dampers are the most widely used in wind induced vibration control of overhead power transmission lines. This dynamic absorber comprises a carrier cable with a mass at each end and a bolted clamp that can be attached to a conductor or a guard wire, with the purpose of supplementing the energy dissipated by the cable related to its self-damping. The maximum response of this type of absorber is associated with the frequencies of its different oscillation modes. The masses are designed in such a way to obtain moments of inertia and location of their center of gravity such that, with the vibration of the clamp, their various characteristic bending and torsional modes are excited. In this work, the calibration of a nonlinear finite element model using Bayesian inference is presented to evaluate the dynamic behavior of the damper for all excitation frequencies and displacement amplitudes. To this end, an inverse problem was posed in which the probability distributions of the parameters of interest are obtained from backward uncertainty propagation of experimental measurements performed in laboratory tests. Finally, the uncertainty of the calibrated model was propagated and contrasted with the experimental data. The developed model is a powerful tool when defining the quantity and distribution of dampers in the span of a line.
Thermo-mechanical Stress Modeling of La(Fe,Co,Si)13 Thin Films Deposited on Porous Structures
Authors: Rodríguez-Méndez Francisco , Chiné Bruno , Meneses-Guzmán Marcela 
Published: August 2023

AbstractThe thermo-mechanical behavior of a La(Fe,Co,Si)13 thin film deposited on a porous aluminum structure with a uniform geometry has been studied. Computational simulation techniques have been applied to the magnetocaloric material to model the thin film as a material with visco-plastic properties for thermal cycling at room temperature. The values obtained for stress, equivalent strain and cycles necessary for the material failure show a significant improvement in the mechanical stability and fatigue resistance of the metallic porous structure with the La(Fe,Co,Si)13 thin film, when compared to a model with the same geometry, but made entirely of La(Fe,Co,Si)13. These encouraging results prove the potential that this approach may have in the design and manufacture of magnetocaloric materials for magnetic refrigeration applications.
Development of Virtual Tools for the Validation Study of Rigid Catenary Installations
Authors: de Dios Sanz Bobi Juan , Calvo Álvaro , Fernández Javier Gómez , Reyes Miguel Ríos , Schoenherr Uwe 
Published: August 2023

AbstractElectrification systems in the railway field have evolved over time, adapting to the new needs that have arisen as technology advanced. The applicable standards seem to leave the systems in which the overhead contact rail is implemented so far in the background, resulting in references to it that are clearly insufficient, even in the most recent revisions of technical requirements. Simulation tools allow a path for the development of studies related to the contact dynamics between pantograph and contact line, focused mainly on improving the exploitation capacities while guaranteeing a correct quality in the process of the current collection. This work contains a procedure for generating a simulation tool. The results are mainly focused on the rigid electrification system and represent a broad knowledge base to introduce a multitude of challenges when it comes to improving the capacity of these railway facilities under operational conditions, to improve the strategies of maintenance and to calculate the life cycle. It can also be verified that the standards applicable to this environment makes possible to clearly identify the fields on which research efforts can be focused, so that a common framework can be established for all the agents involved from the design to the operational phase. This work has been produced under development of UIC-IRS 70,020.
Assessment of Lower Limb Muscle Activation During Gait Assisted by a Cable-Actuated Exoskeleton
Authors: Bermejo-García Javier , Rodríguez-Jorge Daniel , Jayakumar Ashwin , Ortiz Rafael Agujetas , Romero-Sánchez Francisco , Alonso-Sánchez Francisco Javier 
Published: August 2023

AbstractThis study aims to evaluate the modifications that occur in the neuromuscular system during a walking assistance device through a wearable exoskeleton or exosuit. We propose to study the muscle activations and forces obtained by inverse dynamic analysis at different levels of exosuit actuation and anchor points, with the aim of obtaining an actuation map that will allow us to optimize both the design and the actuation of the exosuit. In addition, metabolic probes were calculated to estimate the influence of the exosuit on energy consumption. The results suggest a reduction in the muscle activations and forces exerted by the hamstring muscles of the actuated leg, especially the semitendinosus muscle and biceps femoris, compared to a non-actuated gait. In contrast, the muscle strength of the other muscles remains unchanged. Our results suggest that the configuration at 70% of femur length shows better results in reducing metabolic cost compared to the other configurations.
Development of a Modular Test Bench for Cable-Driven Synergy-Based Exosuit Actuation and Control Strategies
Authors: Jayakumar Ashwin , Jorge Daniel Rodríguez , García Javier Bermejo , Ortiz Rafael Agujetas , Sánchez Francisco Romero , Sánchez Francisco Javier Alonso 
Published: August 2023

AbstractIn their survey dated 2019, the UN predicts that the population above the age of 65 will increase from 9%, to 16% by the year 2050 [1]. Ageing results in the eventual loss of muscle mass and strength, joint problems and overall slowing of movements with a greater risk of suffering falls or other such accidents. Gait assist exoskeletons can help promote active ageing in this segment of the population. Since these devices are user specific in terms of the mechanics and control required, the facility to test different parameters becomes indispensable. This work details the design and construction of a modular test bench to implement synergies in an exosuit using motors and cables, and the optimization of the control scheme to better adapt it to specific patients.
A Comparative Study of the Recent A&F Model with Conventional Thermoeconomic Methodologies in the Waste Treatment in a Regenerative Gas Turbine Cogeneration System
Authors: dos Santos Rodrigo Guedes , Lourenço Atilio Barbosa , de Faria Pedro Rosseto , Belisario Igor Chaves , Barone Marcelo Aiolfi , Santos José Joaquim C. S. 
Published: August 2023

AbstractThermoeconomics is a science that reconciles thermodynamic and economic concepts. It can be divided into three fields of action: cost allocation, diagnosis and optimization. Most thermoeconomicists agree that exergy is the most appropriate thermodynamic magnitude to associate with cost. In some applications, exergy disaggregation is required. Literature shows several thermoeconomic methodologies. Despite the wide use and their respective fields of action, all models have limitations in the dissipative equipment isolation and waste treatment or an increase in complexity in thermoeconomic modeling. In order to fill part of this scientific gap in thermoeconomics, a recent methodology, the A&F Model, is proposed. This new approach disaggregates physical exergy into just two terms, namely Helmholtz energy and flow work. This work presents for the first time the use of this new approach, through a cost allocation, in a cogeneration system with regenerative gas turbine, and compares it with conventional thermoeconomic methodologies.
Exergetic Analysis of a Double Flash Geothermal Plant Integrated with a Central Solar Receiver
Authors: Anaya-Reyes Orlando , Rodriguez-Alejandro David A. , Zaleta-Aguilar Alejandro , Cano-Andrade Sergio 
Published: August 2023

AbstractA double-flash geothermal Rankine cycle integrated with a central solar receiver is proposed. The solar field is analyzed by optimizing the radiation flux in the receiver, reaching values of 555.40 kW/m2 for a 44.32 m tower, with a receiver of 3.90 m high by 4.99 m in diameter, and a total of 417 heliostats. The cycle is analyzed by optimizing its power delivered, based on the separation pressures of both flash chambers, reaching a power of 25734 kW when the pressures are 8.668 and 2.768 bar, respectively. Results show that this type of systems are a good alternative to reduce the dependence on fossil fuels.
Three-Stage Combustion Modeling of a Binary Mixture-Fueled CI CRDI Engine
Authors: Tipanluisa Luis , López-Martínez José , Casanova Jesús , Fonseca Natalia 
Published: August 2023

AbstractThe global trend towards stricter vehicle emission standards requires more knowledge about the use of renewable fuels to design strategies to reduce the use of non-renewable fossil fuels and the environmental impacts of road transport vehicles equipped with Diesel engines. In this study, a simple phenomenological model with three combined Wiebe functions is used to describe the main injection heat release rate of an unmodified heavy-duty diesel engine fueled with binary blends of n-butanol (up to 20% by volume) with diesel fuel. Conventional diesel was used as the reference fuel to compare combustion characteristics with the binary blends (DBu5, DBu10 and DBu20). The results show that the apparent heat release rate ($$AHRR$$) calculated from the model is in good agreement (RMSE ≤ 3.80 J/°CA) with the experimental values. The maximum $$AHRR$$ values (J/°CA) for the fuel blends DBu5, DBu10, DBu20 and the reference diesel were 220.7, 219.1, 211.8 and 217.7 respectively.
Novel Methodology for Optimization Energy of Heat Treatment Furnaces
Authors: Restrepo-Barrientos Pablo , Maya Juan C. , Muñoz Amariles María E. 
Published: August 2023

AbstractIn this work, a new optimization methodology for heat treatment furnaces based on the variation of the geometric distribution of the heating elements is developed. For this, it is implemented a heat transfer model for simulating the homogenization periods during the treatment, which leads to the appearance of an objective function that allows simultaneously optimizing thermal homogeneity and heat transfer to the piece. In this way, it is possible to avoid the use of multi-objective optimization schemes that require the use of arbitrary criteria for the determination of an absolute optimum. Finally, the proposed methodology is applied to a radiant tube heat treatment furnace, with which it is possible to reduce fuel consumption by around 10%.
Modeling and Simulation of Heat Transfer in a Cold Wall Vacuum Furnace Considering Geometric Optimization of Heating Elements
Authors: Restrepo-Barrientos Pablo , Maya Juan C. , Muñoz Amariles María E. 
Published: August 2023

AbstractThis work proposes the thermal sizing of a furnace, starting from a review of the state of the art of furnaces with similar characteristics and thus defining the general concept. Then, a transient state analytical model is developed that allows to know the necessary power for the heating elements, the temperature profile on the walls of the furnace, the amount of insulation needed to protect internal components, and other related specifications. Due to the parameterization of the model, it is possible to perform sensitivity analyses to verify the behavior of the system with the variations of thermophysical properties of interest.
Development and Processing of Inconel 718 Tools for Friction Stir Welding Additively Manufactured by Laser Metal Deposition
Authors: Alvarez-Leal Marta , Rodriguez-Alabanda Oscar , Romero Pablo E. , Molero Esther , Ureña Julia 
Published: August 2023

AbstractThis work investigates the feasibility of processing the nickel superalloy INCONEL 718 using Laser Metal Deposition (LMD) additive manufacturing technology (with filament) for the processing of Friction Stir Welding (FSW) tools. The FSW tools must have a specific design and characteristics adapted to the material to be welded, so new fast, dynamic and cheaper manufacturing techniques are required. Different heat treatments were performed to achieve optimum properties of the manufactured IN718 compared to forged and cast IN718. The densification analysis showed a material free of major defects and high densification. In addition, excellent mechanical behavior was obtained, with a maximum strength (UTS) of 1256 MPa, which is an improvement over conventional IN718 and could validate the use of LMD technology for FSW tooling.
Development of Powder Bed Laser 3D Printing in Polar Coordinates and Its Comparison with Conventional Cartesian Laser 3D Printing
Authors: Ramos-Grez Jorge Andrés , Norambuena Maximiliano López , Pérez Ignacio Jeria , Saavedra Domingo Gallardo , Aguilera Matías González 
Published: August 2023

AbstractPowder bed laser 3D printing performed using polar coordinates, called Spiral Growth Manufacturing (SGM), allows manufacturing axisymmetric revolution parts in less time compared to conventional cartesian laser printing or Selective Laser Melting (SLM). In this work, a device to perform SGM operating under polar coordinates is presented. The study considered the manufacture of rings by 3D laser printing, both polar (SGM) and cartesian (SLM), from AISI 316L steel powder. These were compared dimensionally and with regards to density and build rate efficiency of the process. The rings have a nominal outer diameter of up to 75 mm and inner one of 45 mm. Results indicate that geometric dimensional precision, specific and nominal density of the polar rings are very close to those obtained through cartesian process. Build rate efficiency of rings by polar printing is on average 5% higher than for cartesian obtained rings.
Micro Cutting Tool Tip Tracking with a Piezoelectric Matrix
Authors: Fajardo-Pruna Marcelo , López-Estrada Luis , Tutivén Christian , Gualoto-Cóndor Santos , Vizán Antonio 
Published: August 2023

AbstractIn search of an alternative to micro-milling, a new micromachining technology based on the principles of single-edge cutting has been successfully developed. To have full control of the cutting process, an artificial vision system has been developed, which is able to locate the tip of the cutting tool and thus calculate the forces that develop along the programmed cutting path. As a complementary measuring system, a piezoelectric matrix sensor has been developed that through the composition of the forces in each of the axes of the cutting micro machine can locate the tip of the tool. Preliminary tests yield results that agree with the artificial vision system, the use of this matrix force sensor is a competent complement to the artificial vision system when it does not have the right conditions for its operation.
AI Training for Application to Industrial Robotics: Trajectory Generation for Neural Network Tuning
Authors: Merino Mikel , Ibarrola Javier , Aginaga Jokin , Hualde Mikel 
Published: August 2023

AbstractIn the present work robot trajectories are generated and kinematically simulated. Different data (joint coordinates, end effector position and orientation, images, etc.) are obtained in order to train a neural network suited for applications in robotics. The neural network has the goal of automatically generating trajectories based on a set of images and coordinates. For this purpose, trajectories are designed in two separate sections which are conveniently connected using Bezier curves, ensuring continuity up to accelerations. In addition, among the possible trajectories that can be carried out due to the different configurations of the robot, the most suitable ones have been selected avoiding collisions and singularities. The designed algorithm can be used in multiple applications by adapting its different parameters.