bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of morphing wing for aerodynamic performance considering the wing flexibility effects
Authors: Navrátil J , Hostinský V , Sodja J 
Published: March 2024

Abstract
This paper provides an insight into ongoing research aimed at designing a morphing wing with the ability to continuously adapt its aerodynamic shape. The wing is targeted at a general purpose unmanned aerial vehicle. The morphing wing concept outlined in the paper is based on continuous camber changes of the wing leading and trailing edges, allowing optimal performance in different flight regimes. The aeroelastic tailoring method is used to design the load carrying structure of the wing in order to define the optimal stiffness and strength of the structure, which are considered as fixed in subsequent design steps. The research proposes a novel modular design approach that combines aerodynamic shape optimisation and aeroelastic considerations for designing morphing wing surfaces.
Commissioning and operation of the transverse collimation system at the RCS of CSNS
Authors: Xu Shouyan , Zhou Kai , Chen Jianliang , Huang Mingyang , Wang Sheng 
Published: March 2024

Abstract
In high-intensity proton synchrotrons, controlling beam loss during machine operation is
crucial to prevent radiation damage. Uncontrolled beam loss poses a significant challenge in
achieving higher beam intensity and power in these synchrotrons. The beam collimation system plays
a vital role in removing halo particles and localizing beam loss, serving as a critical tool for
controlling uncontrolled beam loss in high-intensity proton accelerators. To address the issue of
uncontrolled beam loss, a two-stage transverse collimation system was designed at the rapid
cycling synchrotron (RCS) of China Spallation Neutron Source (CSNS). However, during the beam
commissioning, it was found that the collimation efficiency was compromised due to the small ratio
of the physical acceptance to the collimator acceptance and insufficient phase advances between
the primary and secondary collimators. To address this issue, the designed two-stage collimator
was modified to a one-stage collimator. Through optimization of the collimation system, the beam
loss was effectively localized within the collimator area. As a result, CSNS achieved the design
power of 100 kW with minimal uncontrolled beam loss.
Effect of porosity and crystallinity of activated carbons for electrochemical capacitors
Authors: Park Jung Eun , Kang Da Jung , Lee Gi Bbum , Hong Bum Ui , Hwang Sang Youp 
Published: March 2024

Abstract
Activated carbons (ACs) are usually utilized for the electrochemical capacitor due to their inherent properties, such as large surface area, high chemical stability, and good electrical conductivity. In this study, the commercial and chemically activated ACs with various surface areas were prepared and evaluated for their capacitance. The capacitances were generally increased as increasing the surface areas, but the highest surface area always did not lead to the highest capacitance. The Brunauer–Emmett–Teller specific surface area of chemically activated coconut-ACs (2,209 m2/g) was lower than chemically activated wood-ACs (2,903 m2/g), but the capacitance was higher. It was found that the major factor for the capacitance was not only the surface area, but also the electrical conductivity. The electrical conductivity is usually associated with crystallinity, which is represented by the nanographitic domain size and crystalline thickness along the c-axis (Lc). The crystalline structure enhances the electron mobility, increasing the capacitance. The conductivities of prepared ACs were measured at different pressures, and their crystalline structure was confirmed by Raman spectroscopy and x-ray diffraction.
Comparative study on the influence of additives on interfacial adhesion strength between fibres and extruded polymer core via peel-off test
Authors: Balan G Sakthi , Aravind Raj S 
Published: March 2024

Abstract
Various peel-off experiments can be used to determine the adhesion strength of various fibres. Among them was the ‘T’ type peel-off test, which measures the adhesions between fibres. The use of organic and inorganic fillers in flake or powder form will alter the adhesive properties of the binders as well as the adhesive strength between the fibres. In this study, the adhesion strength between three different varieties of glass fibres (C-Glass, E-Glass, and S-Glass fibres) with a PLA core has been investigated. As a binder, an epoxy resin was used, and the resin was modified with inorganic additives such as alumina, bentonite, and silicon carbide. Peel-off testing was used to examine the effect of additives on the bonding strength between a thermoplastic core and a synthetic fibre. The addition of inorganic compounds was found to reduce the adhesion strength between the fibres and the core. In order to evaluate the initial adhesion between the filaments and the core, nine specimens were fabricated without the addition of any additives and their strengths were determined. Maximum adhesion strength of 71.8 MPa was recorded for the neat resin. The adhesive strength after inclusion of additives was observed to decrease by 18.14%, and recorded maximum peel-off strength of 58.2 MPa. Also, the inclusion percentages of the additives were found to be the most influential factor in determining the composites’ adhesive properties. Validation tests were also conducted with the optimized results which demonstrated that the predicted and experimental results were in excellent agreement. Macro and micro approaches were employed to analyze the deformation mechanisms in order to gain a comprehensive understanding of how the additives affected the adhesion strength.
Reconfigurable (4, 62) and (4, 82) Archimedean plasma photonic crystals in dielectric barrier discharge
Authors: LI 李 Rui 蕊 , WANG 王 Qihan 启晗 , LIU 刘 Fucheng 富成 , GAO 高 Kuangya 匡雅 , (侯笑含) Xiaohan HOU , JIA 贾 Mengmeng 萌萌 , LI 李 Qing 庆 , FAN 范 Weili 伟丽 
Published: March 2024

Abstract
Archimedean photonic crystal has become a research area of great interest due to its various unique properties. Here, we experimentally demonstrate the realization of reconfigurable (4, 62) and (4, 82) Archimedean plasma photonic crystals (APPCs) by use of dielectric barrier discharges in air. Dynamical control on both the macrostructures including the lattice symmetry and the crystal orientation, and the microstructures including the fine structures of scattering elements has been achieved. The formation mechanisms of APPCs are studied by time-resolved measurements together with numerical simulations. Large omnidirectional band gaps of APPCs have been obtained. The tunable topology of APPCs may offer new opportunities for fabricating multi-functional and highly-integrated microwave devices.
Research on a deconvolution algorithm for laser-induced fluorescence diagnosis based on the maximum entropy principle
Authors: LEI 雷 Qingyun 清雲 , YANG 杨 Xiong 雄 , CHENG 程 Mousen 谋森 , ZHANG 张 Fan 帆 , GUO 郭 Dawei 大伟 , LI 李 Xiaokang 小康 , XIAO 肖 Wenjie 文杰 
Published: March 2024

Abstract
Laser-induced fluorescence (LIF) spectroscopy is employed for plasma diagnosis, necessitating the utilization of deconvolution algorithms to isolate the Doppler effect from the raw spectral signal. However, direct deconvolution becomes invalid in the presence of noise as it leads to infinite amplification of high-frequency noise components. To address this issue, we propose a deconvolution algorithm based on the maximum entropy principle. We validate the effectiveness of the proposed algorithm by utilizing simulated LIF spectra at various noise levels (signal-to-noise ratio, SNR = 20–80 dB) and measured LIF spectra with Xe as the working fluid. In the typical measured spectrum (SNR = 26.23 dB) experiment, compared with the Gaussian filter and the Richardson–Lucy (R-L) algorithm, the proposed algorithm demonstrates an increase in SNR of 1.39 dB and 4.66 dB, respectively, along with a reduction in the root-mean-square error (RMSE) of 35% and 64%, respectively. Additionally, there is a decrease in the spectral angle (SA) of 0.05 and 0.11, respectively. In the high-quality spectrum (SNR = 43.96 dB) experiment, the results show that the running time of the proposed algorithm is reduced by about 98% compared with the R-L iterative algorithm. Moreover, the maximum entropy algorithm avoids parameter optimization settings and is more suitable for automatic implementation. In conclusion, the proposed algorithm can accurately resolve Doppler spectrum details while effectively suppressing noise, thus highlighting its advantage in LIF spectral deconvolution applications.
Fabrication of RC filters from a single printed Zn layer by reactive inkjet printing
Authors: Radwan Aziz , Sui Yongkun , Zorman Christian A 
Published: March 2024

Abstract
This paper presents the development of planar zinc (Zn) resistor–capacitor (RC) filters from a single printed layer that are both printed and treated at room temperature. The fabrication process involves screen printing the resistor, capacitor and interconnects in a single patterned layer on kraft paper substrates using a Zn microparticle ink. In order to form a distinct resistor and capacitor in the patterned structure, reactive inkjet printing (RIJ) was performed to selectively dispense acetic acid on the RC filter pattern to achieve regions with highly contrasting resistance. The required high degree of spatial contrast was achieved using the positional control of the inkjet printer combined with the number of print passes and drop spacing used to dispense the acetic acid droplets. X-ray diffraction and scanning electron microscopy showed the crystal structure and grain size of Zn microparticles remained unchanged with increasing acetic acid exposure while the prominence of cold-welding increased with increasing exposure. Zn-based RC filters sharing a common set of dimensions but with a wide range of corner frequencies were successfully fabricated using this process. For a fixed filter geometry, the corner frequencies could be tuned from ∼7 kHz to ∼1 MHz as the number of print passes used to form the resistor increased in a stepwise manner. To the best of our knowledge, this is the first room temperature printing process to produce side-by-side resistors and conductors from the same printed layer and the first printing process of any type to produce RC filters with such a wide range of corner frequencies.
Changes in Self-Measured Blood Pressure Monitoring Use in 14 States From 2019 to 2021: Impact of the COVID-19 Pandemic
Authors: Fang Jing , Zhou Wen , Hayes Donald K , Wall Hilary K , Wozniak Gregory , Chung Alina , Loustalot Fleetwood 
Published: March 2024

Abstract

BACKGROUND
Self-measured blood pressure monitoring (SMBP) is an important out-of-office resource that is effective in improving hypertension control. Changes in SMBP use during the Coronavirus Disease 2019 (COVID-19) pandemic have not been described previously.

METHODS
Behavioral Risk Factor Surveillance System (BRFSS) data were used to quantify changes in SMBP use between 2019 (prior COVID-19 pandemic) and 2021 (during the COVID-19 pandemic). Fourteen states administered the SMBP module in both years. All data were self-reported from adults who participated in the BRFSS survey. We assessed the receipt of SMBP recommendations from healthcare professionals and actual use of SMBP among those with hypertension (n = 68,820). Among those who used SMBP, we assessed SMBP use at home and sharing BP readings electronically with healthcare professionals.

RESULTS
Among adults with hypertension, there was no significant changes between 2019 and 2021 in those reporting SMBP use (57.0% vs. 55.7%) or receiving recommendations from healthcare professionals to use SMBP (66.4% vs. 66.8%). However, among those who used SMBP, there were significant increases in use at home (87.7% vs. 93.5%) and sharing BP readings electronically (8.6% vs. 13.1%) from 2019 to 2021. Differences were noted by demographic characteristics and residence state.

CONCLUSIONS
Receiving a recommendation from the healthcare provider to use SMBP and actual use did not differ before and during the COVID-19 pandemic. However, among those who used SMBP, home use and sharing BP readings electronically with healthcare professional increased significantly, although overall sharing remained low (13.1%). Maximizing advances in virtual connections between clinical and community settings should be leveraged for improved hypertension management.
MINDG: a drug–target interaction prediction method based on an integrated learning algorithm
Authors: Yang Hailong , Chen Yue , Zuo Yun , Deng Zhaohong , Pan Xiaoyong , Shen Hong-Bin , Choi Kup-Sze , Yu Dong-Jun 
Published: March 2024

Abstract

Motivation
Drug–target interaction (DTI) prediction refers to the prediction of whether a given drug molecule will bind to a specific target and thus exert a targeted therapeutic effect. Although intelligent computational approaches for drug target prediction have received much attention and made many advances, they are still a challenging task that requires further research. The main challenges are manifested as follows: (i) most graph neural network-based methods only consider the information of the first-order neighboring nodes (drug and target) in the graph, without learning deeper and richer structural features from the higher-order neighboring nodes. (ii) Existing methods do not consider both the sequence and structural features of drugs and targets, and each method is independent of each other, and cannot combine the advantages of sequence and structural features to improve the interactive learning effect.

Results
To address the above challenges, a Multi-view Integrated learning Network that integrates Deep learning and Graph Learning (MINDG) is proposed in this study, which consists of the following parts: (i) a mixed deep network is used to extract sequence features of drugs and targets, (ii) a higher-order graph attention convolutional network is proposed to better extract and capture structural features, and (iii) a multi-view adaptive integrated decision module is used to improve and complement the initial prediction results of the above two networks to enhance the prediction performance. We evaluate MINDG on two dataset and show it improved DTI prediction performance compared to state-of-the-art baselines.

Availability and implementation
https://github.com/jnuaipr/MINDG.
Enhanced production of hydrogen via catalytic methane decomposition on a Pt7-Ni (110) substrate: a reactive molecular dynamics investigation
Authors: Arifin Rizal , Zulkarnain  , Abdurrouf  , Winardi Yoyok , Riyanto Didik , Darminto  
Published: March 2024

Abstract
Numerous researchers in the energy field are engaged in a competitive race to advance hydrogen as a clean and environmentally friendly fuel. Studies have been conducted on the different aspects of hydrogen, including its production, storage, transportation and utilization. The catalytic methane decomposition technique for hydrogen production is an environmentally friendly process that avoids generating carbon dioxide gas, which contributes to the greenhouse effect. Catalysts play a crucial role in facilitating rapid, cost-effective and efficient production of hydrogen using this technique. In this study, reactive molecular dynamics simulations were employed to examine the impact of Pt7 cluster decoration on the surface of a Ni (110) catalyst, referred to as Pt7-Ni (110), on the rates of methane dissociation and molecular hydrogen production. The reactive force field was employed to model the atomic interactions that enabled the formation and dissociation of chemical bonds. Our reactive molecular dynamics simulations using the Pt7-Ni (110) catalyst revealed a notable decrease in the number of methane molecules, specifically ~11.89 molecules per picosecond. The rate was approximately four times higher than that of the simulation system utilizing a Ni (110) catalyst and approximately six times higher than that of the pure methane, no-catalyst system. The number of hydrogen molecules generated during a simulation period of 150 000 fs was greater on the Pt7-Ni (110) surface than in both the Ni (110) and pure methane systems. This was due to the presence of numerous dissociated hydrogen atoms on the Pt7-Ni (110) surface.
Direct formation of single crystalline molecular clusters with disulfide bonding from thiol-containing triptycene derivatives
Authors: Fukui Tomoya , Saitou Riku , Tomi Fumiaki , Kubo Shoichi , Shishido Atsushi , Fukushima Takanori 
Published: March 2024

Abstract
When a DMF solution of 1,8,13-trimercaptotriptycene is allowed to stand under an inert atmosphere, a single crystalline molecular cluster with disulfide bonding results. Likewise, several thiol-containing triptycene derivatives yield single crystalline disulfide-containing clusters with different structural patterns. One of these clusters featuring a densely arranged tetrapod-like disulfide moiety exhibits a particularly high refractive index of 1.75, much higher than that of the others, although the sulfur contents of these clusters are comparable.
Effects of periodic heat events on the reproduction and longevity of female and male Agasicles hygrophila (Coleoptera: Chrysomelidae)
Authors: Jin Jisu , Zhao Meiting , Lv Chen , Wan Fanghao , Guo Jianying 
Published: March 2024

Abstract
Alternanthera philoxeroides (Amaranthaceae), commonly known as alligator weed, is a globally invasive and detrimental perennial weed. Agasicles hygrophila serves as an important biocontrol agent for alligator weeds. However, during mid-summer, when temperatures increase, A. hygrophila populations experience a significant decline, leading to ineffective weed control. This study has examined the impact of periodic heat events on the reproduction and survival of A. hygrophila females and males using various mating combinations and durations of temperature treatments. The results demonstrated significant effects on all of the studied parameters across mating combinations when compared with the control. Under the same temperature combination, the fecundity and survival rates of females, as well as the egg-hatching rate, decreased significantly with increasing repeated heat exposure. Furthermore, the egg-hatching rate varied significantly among different temperatures and time-interval combinations. In addition, the females displayed greater sensitivity to heat stress than males in terms of fecundity. These findings enhance our understanding of A. hygrophila population dynamics during summer and provide insights into the release of biocontrol agents in diverse regions with varying climates.
Lactococcuscell envelope proteases enable lactococcal growth in minimal growth media supplemented with high molecular weight proteins of plant and animal origin
Authors: Christensen Lise Friis , Laforce Ida Nynne , Wolkers-Rooijackers Judith C M , Mortensen Martin Steen , Smid Eddy J , Hansen Egon Bech 
Published: March 2024

AbstractLactic acid bacteria (LAB) have evolved into fastidious microorganisms that require amino acids from environmental sources. Some LAB have cell envelope proteases (CEPs) that drive the proteolysis of high molecular weight proteins like casein in milk. CEP activity is typically studied using casein as the predominant substrate, even though CEPs can hydrolyze other protein sources. Plant protein hydrolysis by LAB has rarely been connected to the activity of specific CEPs. This study aims to show the activity of individual CEPs using LAB growth in a minimal growth medium supplemented with high molecular weight casein or potato proteins. Using Lactococcus cremoris MG1363 as isogenic background to express CEPs, we demonstrate that CEP activity is directly related to growth in the protein-supplemented minimal growth media. Proteolysis is analyzed based on the amino acid release, allowing a comparison of CEP activities and analysis of amino acid utilization by L. cremoris MG1363. This approach provides a basis to analyze CEP activity on plant-based protein substrates as casein alternatives and to compare activity of CEP homologs.
A reference genome of Commelinales provides insights into the commelinids evolution and global spread of water hyacinth (Pontederia crassipes)
Authors: Huang Yujie , Guo Longbiao , Xie Lingjuan , Shang Nianmin , Wu Dongya , Ye Chuyu , Rudell Eduardo Carlos , Okada Kazunori , Zhu Qian-Hao , Song Beng-Kah , Cai Daguang , Junior Aldo Merotto , Bai Lianyang , Fan Longjiang 
Published: March 2024

Abstract
Commelinales belongs to the commelinids clade, which also comprises Poales that includes the most important monocot species, such as rice, wheat, and maize. No reference genome of Commelinales is currently available. Water hyacinth (Pontederia crassipes or Eichhornia crassipes), a member of Commelinales, is one of the devastating aquatic weeds, although it is also grown as an ornamental and medical plant. Here, we present a chromosome-scale reference genome of the tetraploid water hyacinth with a total length of 1.22 Gb (over 95% of the estimated size) across 8 pseudochromosome pairs. With the representative genomes, we reconstructed a phylogeny of the commelinids, which supported Zingiberales and Commelinales being sister lineages of Arecales and shed lights on the controversial relationship of the orders. We also reconstructed ancestral karyotypes of the commelinids clade and confirmed the ancient commelinids genome having 8 chromosomes but not 5 as previously reported. Gene family analysis revealed contraction of disease-resistance genes during polyploidization of water hyacinth, likely a result of fitness requirement for its role as a weed. Genetic diversity analysis using 9 water hyacinth lines from 3 continents (South America, Asia, and Europe) revealed very closely related nuclear genomes and almost identical chloroplast genomes of the materials, as well as provided clues about the global dispersal of water hyacinth. The genomic resources of P. crassipes reported here contribute a crucial missing link of the commelinids species and offer novel insights into their phylogeny.
BSAlign: A Library for Nucleotide Sequence Alignment
Authors: Shao Haojing , Ruan Jue 
Published: March 2024

Abstract
Increasing the accuracy of the nucleotide sequence alignment is an essential issue in genomics research. Although classic dynamic programming (DP) algorithms (e.g., Smith–Waterman and Needleman–Wunsch) guarantee to produce the optimal result, their time complexity hinders the application of large-scale sequence alignment. Many optimization efforts that aim to accelerate the alignment process generally come from three perspectives: redesigning data structures [e.g., diagonal or striped Single Instruction Multiple Data (SIMD) implementations], increasing the number of parallelisms in SIMD operations (e.g., difference recurrence relation), or reducing search space (e.g., banded DP). However, no methods combine all these three aspects to build an ultra-fast algorithm. In this study, we developed a Banded Striped Aligner (BSAlign) library that delivers accurate alignment results at an ultra-fast speed by knitting a series of novel methods together to take advantage of all of the aforementioned three perspectives with highlights such as active F-loop in striped vectorization and striped move in banded DP. We applied our new acceleration design on both regular and edit distance pairwise alignment. BSAlign achieved 2-fold speed-up than other SIMD-based implementations for regular pairwise alignment, and 1.5-fold to 4-fold speed-up in edit distance-based implementations for long reads. BSAlign is implemented in C programing language and is available at https://github.com/ruanjue/bsalign.