bluuebunny/crossref_metadata_2025_split huggingface dataset:
An inclined tower crane suited to bridge tower construction
Authors: Zhang Kun , Wang Hui , Zhou Yong , Wang Kaiqiang , Fang Xiaolin , Chen Baiben , Mu Dongdong 
Published: December 2022

AbstractA new type of tower crane which could transform its tower body is presented. The inclined tower crane body can be tilted at some angle, which suits the construction of buildings with inclined architectural outlines, especially for the construction of bridge towers. The working principle and the design of the critical components are presented, two adjustable anchorages could pull the tower body section beneath the top anchorage closer to the construction region, and the related section of the tower body could change from vertical to inclined, while the free section of the tower body remains vertical. Finite element analysis is performed to compare with the traditional tower crane, the difference of the reaction force of the top anchorage is minor. Kinematic and dynamic analysis is carried out to simulate the working process of tilting, mechanical and kinematic parameters of key parts are obtained. At last, the experiment of a full-scale tower crane which could tilt 6° is carried out, and the experimental data validate the feasibility of this new type of tower crane.
Associations of leptin and corticostriatal connectivity in bipolar disorder
Authors: Wei Shyh-Yuh , Tseng Huai-Hsuan , Chang Hui Hua , Chang Wei Hung , Yang Yen Kuang , Chen Po See 
Published: December 2022

AbstractBipolar disorder (BD) and metabolic disturbance represent a chronic state of low-grade inflammation and corticostriatal circuitry alterations. Herein, we aimed to investigate whether plasma leptin, an adipokine that plays a key role in the interplay of metabolism and inflammation, is associated with corticostriatal connectivity in patients with BD. Twenty-eight BD I patients, 36 BD II patients and 66 healthy controls were enrolled and completed the Hamilton Depression Rating Scale, the Young Mania Rating Scale, and the Recent Life Change Questionnaire. Fasting plasma leptin and C-reactive protein (CRP) levels were measured, and corticostriatal connectivity was examined using functional magnetic resonance imaging (fMRI). The relationships between leptin, CRP and body mass index (BMI) identified in the controls and BD II patients were absent in the BD I patients. We did not find a significant group difference in the leptin level; nevertheless, the negative correlation between leptin level and corticostriatal connectivity (ventrolateral prefrontal cortex and inferior temporal gyrus) observed in the healthy controls was absent in the BD patients. The disproportionate increase in leptin level with increasing BMI in BD indicated a potential inflammatory role of white adipose tissue in BD. Furthermore, higher CRP levels in BD I patients might induce leptin resistance. Collectively, our results implied vulnerability to inflammatory and metabolic diseases in patients with BD, especially BD I.
Low-energy shock wave therapy ameliorates ischemic-induced overactive bladder in a rat model
Authors: Kimura Shingo , Kawamorita Naoki , Kikuchi Yoku , Shindo Tomohiko , Ishizuka Yuichi , Satake Yohei , Sato Takuma , Izumi Hideaki , Yamashita Shinichi , Yasuda Satoshi , Shimokawa Hiroaki , Ito Akihiro 
Published: December 2022

AbstractThis study was to evaluate whether Low-energy shock wave therapy (LESW) improves ischemic-induced overactive bladder in rats and investigate its therapeutic mechanisms. Sixteen-week-old male Sprague–Dawley rats were divided into three groups: arterial injury (AI), AI with LESW (AI-SW), and control groups. LESW was irradiated in AI-SW during 20–23 weeks of age. At 24 weeks of age, conscious cystometry was performed (each n = 8). The voiding interval was shortened in AI (mean ± SEM: 5.1 ± 0.8 min) than in control (17.3 ± 3.0 min), whereas significant improvements were observed in AI-SW (14.9 ± 3.3 min). The bladder blood flow was significantly increased in AI-SW than in AI. Microarray analysis revealed higher gene expression of soluble guanylate cyclase (sGC) α1 and β1 in the bladder of AI-SW compared to AI. Protein expression of sGCα1 and sGCβ1 was higher in AI-SW and control groups than in AI. Cyclic guanosine monophosphate (cGMP) was elevated in AI-SW. As an early genetic response, vascular endothelial growth factor and CD31 were highly expressed 24 h after the first LESW. Suburothelial thinning observed in AI was restored in AI-SW. Activation of sGC-cGMP may play a therapeutic role of LESW in the functional recovery of the bladder.
Brunner syndrome caused by point mutation explained by multiscale simulation of enzyme reaction
Authors: Prah Alja , Pregeljc Domen , Stare Jernej , Mavri Janez 
Published: December 2022

AbstractBrunner syndrome is a disorder characterized by intellectual disability and impulsive, aggressive behavior associated with deficient function of the monoamine oxidase A (MAO-A) enzyme. These symptoms (along with particularly high serotonin levels) have been reported in patients with two missense variants in MAO-A (p.R45W and p.E446K). Herein, we report molecular simulations of the rate-limiting step of MAO-A-catalyzed serotonin degradation for these variants. We found that the R45W mutation causes a 6000-fold slowdown of enzymatic function, whereas the E446K mutation causes a 450-fold reduction of serotonin degradation rate, both of which are practically equivalent to a gene knockout. In addition, we thoroughly compared the influence of enzyme electrostatics on the catalytic function of both the wild type MAO-A and the p.R45W variant relative to the wild type enzyme, revealing that the mutation represents a significant electrostatic perturbation that contributes to the barrier increase. Understanding genetic disorders is closely linked to understanding the associated chemical mechanisms, and our research represents a novel attempt to bridge the gap between clinical genetics and the underlying chemical physics.
Optimization of spring parameters by using the Bees algorithm for the foldable wing mechanism
Authors: Sahin Murat , Kulunk Zafer 
Published: December 2022

AbstractIn this study, the design of the torsion and compression springs of the foldable wing mechanism used in the missile is considered an optimization problem. After the missile leaves the tube, the wings waiting in a closed state must be opened and fixed within a specific time. The study it is aimed to maximize the energy stored by the springs so that the wing can be opened in a minimum time. In this context, the energy equation in both publications is defined as the objective function in the optimization process. Wire diameter, coiling diameter, coiling number, and deflection parameters required for spring design were determined as optimization variables. There are geometrical constraints for the variables due to the dimensions of the mechanism and there are also safety factor constraints due to the loads to which the springs are exposed. The Bees Algorithm (BA) was used to solve this optimization problem and perform the spring design. The energy values obtained with BA were better than the values obtained with the Design of Experiment (DOE) study before. The springs and mechanism designed with the parameters obtained from the optimization were first analyzed in the ADAMS program. Afterward, experimental tests carried out by integrating the produced springs into the actual mechanism. As a result of the tests, it was observed that the wing opened at approximately 90 ms. This value is well below the project target of 200 ms. In addition, there is only a 16 ms difference between the analysis and the experimental results.
Auto-correlations of microscopic density fluctuations for Yukawa fluids in the generalized hydrodynamics framework with viscoelastic effects
Authors: Dhaka Ankit , Subhash P. V. , Bandyopadhyay P. , Sen A. 
Published: December 2022

AbstractThe present work develops a theoretical procedure for obtaining transport coefficients of Yukawa systems from density fluctuations. The dynamics of Yukawa systems are described in the framework of the generalized hydrodynamic (GH) model that incorporates strong coupling and visco-elastic memory effects by using an exponentially decaying memory function in time. A hydrodynamic matrix for such a system is exactly derived and then used to obtain an analytic expression for the density autocorrelation function (DAF)—a marker of the time dynamics of density fluctuations. The present approach is validated against a DAF obtained from numerical data of Molecular Dynamics (MD) simulations of a dusty plasma system that is a practical example of a Yukawa system. The MD results and analytic expressions derived from the model equations are then used to obtain various transport coefficients and the latter are compared with values available in the literature from other models. The influence of strong coupling and visco-elastic effects on the transport parameters are discussed. Finally, the utility of our calculations for obtaining reliable estimates of transport coefficients from experimentally determined DAF is pointed out.
Pullulanase with high temperature and low pH optima improved starch saccharification efficiency
Authors: Niu Dandan , Cong Huihui , Zhang Yanan , Mchunu Nokuthula Peace , Wang Zheng-Xiang 
Published: December 2022

AbstractPullulanase, a starch debranching enzyme, is required for the preparation of high glucose/maltose syrup from starch. In order to expand its narrow reaction conditions and improve its application value, Bacillus naganoensis pullulanase (PulA) was mutated by site-directed mutagenesis and the biochemical characteristics of the mutants were studied. The mutant PulA-N3 with mutations at asparagine 467, 492 and 709 residues was obtained. It displayed the activity maximum at 60 °C and pH 4.5 and exceeded 90% activities between 45 and 60 °C and from pH 4.0 to pH 5.5, which was improved greatly compared with wild-type PulA. Its thermostability and acidic pH stability were also remarkably improved. Its catalytic rate (kcat/Vmax) was 2.76 times that of PulA. In the preparation of high glucose syrup, the DX (glucose content, %) values of glucose mediated by PulA-N3 and glucoamylase reached 96.08%, which were 0.82% higher than that of PulA. In conclusion, a new pullulanase mutant PulA-N3 was successfully developed, which has high debranching activity in a wide range of temperature and pH, thereby paving the way for highly efficient starch saccharification.
A soft sensing method of billet surface temperature based on ILGSSA-LSSVM
Authors: Liu Jun , Yang Luying , Nan Xinhao , Liu Yifan , Hou Qingming , Lan Kun , Yang Feng 
Published: December 2022

AbstractIt is difficult to measure the surface temperature of continuous casting billet, which results in the lack of important feedback parameters for further scientific control of the billet quality. This paper proposes a sparrow search algorithm to optimize the Least Square Support Vector Machine (LSSVM) model for surface temperature prediction of the billet, which is further improved by Logistic Chaotic Mapping and Golden Sine Algorithm (Improve Logistic Golden Sine Sparrow Search Algorithm LSSVM, short name ILGSSA-LSSVM). Using the Improved Logistic Chaos Mapping and Golden Sine Algorithm to find the optimal initial sparrow population, the value of penalty factor $$\gamma$$
γ
and kernel parameter $$\sigma$$
σ
for LSSVM are calculated. Global optimization method is adopted to find the optimal parameter combination, so that the negative influence of randomly initializing parameters on the prediction accuracy would be reduced. Our proposed ILGSSA-LSSVM soft sensing model is compared respectively with traditional Least Square Support Vector Machine, BP neural network and Gray Wolf optimized Least Square Support Vector Machine, results show that proposed model outperformed the others. Experiments show that the maximum error of ILGSA-LSSVM soft sensing model is 3.85733 °C, minimum error is 0.0174 °C, average error is 0.05805 °C, and generally outperformed other comparison models.
Analysis of merged transcriptomic and genomic datasets to identify genes and pathways underlying residual feed intake in growing pigs
Authors: Ibragimov Emil , Pedersen Anni Øyan , Xiao Liang , Cirera Susanna , Fredholm Merete , Karlskov-Mortensen Peter 
Published: December 2022

AbstractImprovement of feed efficiency (FE) in pigs is an important milestone in order to reduce the economic and environmental impact of pig production. The goal of finding biomarkers for FE has persisted for decades. However, due to the complexity of the FE trait, these goals have still not been met. Here, we search for quantitative trait loci (QTL), candidate genes, and biological pathways associated with FE using both genotype and RNA-seq data. We obtained genotype and colon epithelium RNA-seq data for 375 and 96 pigs, respectively. In total, a genome-wide association study (GWAS) and differential expression (DE) analysis led to detection of three QTL on SSC9 and 17 DE-genes associated with FE. Possible intersection points between genes located in QTL and DE-genes were found on levels of transcription factor-target interaction. Moreover, cis-eQTL analysis revealed associations between genotype and expression levels of three DE-genes and three genes located in the GWAS QTLs, which may establish the connection between genotype and phenotype through DE. Finally, single nucleotide polymorphism calling using RNA-seq data for genes located in GWAS QTLs revealed 53 polymorphisms of which eleven were missense variants.
Water motion and pH jointly impact the availability of dissolved inorganic carbon to macroalgae
Authors: James Rebecca K. , Hepburn Christopher D. , Pritchard Daniel , Richards Derek K. , Hurd Catriona L. 
Published: December 2022

AbstractThe supply of dissolved inorganic carbon to seaweeds is a key factor regulating photosynthesis. Thinner diffusive boundary layers at the seaweed surface or greater seawater carbon dioxide (CO2) concentrations increase CO2 supply to the seaweed surface. This may benefit seaweeds by alleviating carbon limitation either via an increased supply of CO2 that is taken up by passive diffusion, or via the down-regulation of active carbon concentrating mechanisms (CCMs) that enable the utilization of the abundant ion bicarbonate (HCO3−). Laboratory experiments showed that a 5 times increase in water motion increases DIC uptake efficiency in both a non-CCM (Hymenena palmata, Rhodophyta) and CCM (Xiphophora gladiata, Phaeophyceae) seaweed. In a field survey, brown and green seaweeds with active-CCMs maintained their CCM activity under diverse conditions of water motion. Whereas red seaweeds exhibited flexible photosynthetic rates depending on CO2 availability, and species switched from a non-CCM strategy in wave-exposed sites to an active-CCM strategy in sheltered sites where mass transfer of CO2 would be reduced. 97–99% of the seaweed assemblages at both wave-sheltered and exposed sites consisted of active-CCM species. Variable sensitivities to external CO2 would drive different responses to increasing CO2 availability, although dominance of the CCM-strategy suggests this will have minimal impact within shallow seaweed assemblages.
New insights into the antibacterial mode of action of quercetin against uropathogen Serratia marcescens in-vivo and in-vitro
Authors: Kannan Suganya , Balakrishnan Jeyakumar , Govindasamy Ambujam , Arunagiri R. 
Published: December 2022

AbstractIn the course of a quest for therapeutic agents inhibiting uropathogens, the rise and universal blowout of antibiotic-resistant organisms is a wide problem. To overcome this matter, exploration of alternative antimicrobials is necessary. The antimicrobial potential of quercetin has been widely described against some pathogenic microorganisms, but to the best of our knowledge, no report exists against the pathogenicity of uropathogenic Serratia marcescens. Hence, the present study focused on the antibacterial mechanism of action of quercetin, a flavonoid against the uropathogen Serratia marcescens. Quercetin was evaluated for its anti-QS activity, and the attained outcomes showed that quercetin inhibited QS-mediated virulence factors such as biofilm formation, exopolysaccharides, swarming motility and prodigiosin in Serratia marcescens. The proposed mechanism of action of quercetin greatly influences cell metabolism and extracellular polysaccharide synthesis and damages the cell membrane, as revealed through global metabolome profiling. In vivo experiments revealed that treatment with quercetin prolonged the life expectancy of infected Caenorhabditis elegans and reduced the colonization of Serratia marcescens. Hence, the current study reveals the use of quercetin as a probable substitute for traditional antibiotics in the treatment of uropathogen infections driven by biofilms.
Interfacial properties of SiCf/SiC minicomposites with a scheelite coating
Authors: Ni Na , Wu Binbin , Shi Yinchun , Fan Xiaohui , Li Chuanwei 
Published: December 2022

AbstractUnidirectional SiCf/SiC minicomposite with a scheelite (CaWO4) interphase coating was fabricated through the precursor infiltration and pyrolysis method. Fractography of the SiCf/SiC minicomposites indicated that weak fiber/matrix bonding can be provided by the CaWO4 interphase. Furthermore, interfacial debonding stress of SiCf/CaWO4/SiC minicomposite was evaluated through the fiber push-out test, and estimated to be 80.7 ± 4.6 MPa. In-situ tensile SEM observation of SiCf/CaWO4/SiC minicomposite after oxidation at 1000–1100 °C was carried out, and thermal compatibility between CaWO4 interphase coating and SiC fiber or matrix after heat treatment at 1300 °C was investigated.
Computational mass spectrometry accelerates C = C position-resolved untargeted lipidomics using oxygen attachment dissociation
Authors: Uchino Haruki , Tsugawa Hiroshi , Takahashi Hidenori , Arita Makoto 
Published: December 2022

AbstractMass spectrometry-based untargeted lipidomics has revealed the lipidome atlas of living organisms at the molecular species level. Despite the double bond (C = C) position being a crucial factor in biological system, the C = C defined structures have not yet been characterized comprehensively. Here, we present an approach for C = C position-resolved untargeted lipidomics using a combination of oxygen attachment dissociation and computational mass spectrometry to increase the annotation rate. We validated the accuracy of our platform as per the authentic standards of 85 lipids and the biogenic standards of 52 molecules containing polyunsaturated fatty acids (PUFAs) from the cultured cells fed with various fatty acid-enriched media. By analyzing human and mice-derived samples, we characterized 648 unique lipids with the C = C position-resolved level encompassing 24 lipid subclasses defined by LIPIDMAPS. Our platform also illuminated the unique profiles of tissue-specific lipids containing n-3 and/or n-6 very long-chain PUFAs (carbon $$\ge$$
≥
28 and double bonds $$\ge$$
≥
4) in the eye, testis, and brain of the mouse.
Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data
Authors: Bach Eric , Schymanski Emma L. , Rousu Juho 
Published: December 2022

AbstractStructural annotation of small molecules in biological samples remains a key bottleneck in untargeted metabolomics, despite rapid progress in predictive methods and tools during the past decade. Liquid chromatography–tandem mass spectrometry, one of the most widely used analysis platforms, can detect thousands of molecules in a sample, the vast majority of which remain unidentified even with best-of-class methods. Here we present LC-MS2Struct, a machine learning framework for structural annotation of small-molecule data arising from liquid chromatography–tandem mass spectrometry (LC-MS2) measurements. LC-MS2Struct jointly predicts the annotations for a set of mass spectrometry features in a sample, using a novel structured prediction model trained to optimally combine the output of state-of-the-art MS2scorers and observed retention orders. We evaluate our method on a dataset covering all publicly available reversed-phase LC-MS2data in the MassBank reference database, including 4,327 molecules measured using 18 different LC conditions from 16 contributors, greatly expanding the chemical analytical space covered in previous multi-MS2scorer evaluations. LC-MS2Struct obtains significantly higher annotation accuracy than earlier methods and improves the annotation accuracy of state-of-the-art MS2scorers by up to 106%. The use of stereochemistry-aware molecular fingerprints improves prediction performance, which highlights limitations in existing approaches and has strong implications for future computational LC-MS2developments.
Research on data transmission system of acoustic wave while drilling based on OFDM
Authors: Zheng Zhong , Geng Yanfeng 
Published: December 2022

AbstractLogging while drilling is to transmit down‐hole measurement data to the surface timely and accurately to ensure the normal production. Drilling data transmission system includes mud pulse and electromagnetic wave. The transmission rate of these methods is only tens of bits per second. To solve the problems of slow transmission rate, low accuracy and long waiting time for drilling data, an acoustic wireless communication system based on orthogonal frequency division multiplexing (OFDM) is developed. The hardware and software design of the acoustic wireless communication system has been completed, and experiments have been carried out. The communication channel is drilling fluid, a frequency selective fading channel with Gaussian white noise and obvious multipath effect. OFDM can be used to solve the adverse effects of these problems on signal transmission. Schmidl–Cox algorithm is used for signal synchronization. Error control coding adopts CRC32 algorithm. The experimental results show that the transmission rate of BPSK mapped OFDM signal can reach 250 kbit/s when the bit error rate is 10−3. Compared with the traditional wireless communication system, an acoustic wireless communication system based on drilling fluid has the advantages of high data transmission rate, low bit error rate and strong anti‐multi‐path fading ability.
A priority‐based congestion avoidance scheme for healthcare wireless sensor networks
Authors: Mazloomi Neda , Gholipour Majid , Zaretalab Arash 
Published: December 2022

AbstractOne of the most important challenges of wireless sensor networks is controlling network congestion and transmitting data in a way that improves the quality of service (QoS) parameters. Thus, it increases network performance and reduces energy consumption. Energy consumption increases due to various reasons, such as unsuccessful delivery of packets to the receiver, congestion in the network, retransmission of packets, delay in delivering packets to the base station, and so on. Given the importance of some data in the field of health, congestion should be avoided and secure data transmission should be ensured. This study divides the collected data into two groups based on their intrinsic characteristics by presenting a congestion management protocol: (1) critical data and (2) non‐critical data. The proposed protocol provides a dynamic routing algorithm based on the TOPSIS model for non‐critical data transmission. In addition, an algorithm for transmitting critical data through the shortest possible path is also provided based on support vector machines (SVMs). This improves the network performance through using multi‐classification that is obtained from SVMs. The simulation results indicate that the proposed method works better than other methods and leads to better performance in delay, network performance, and power consumption.