bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioactivity and characterization of Wollastonite-Li-silicate glass
Authors: Aldawsari Sarah , Eldera Samah S , El-Bassyouni Gehan T , Hamzawy Esmat M A 
Published: November 2023

Abstract
Glasses were prepared from nominal wollastonite-lithium silicate in the ratios of 87.5/12.5, 75/25, 50/50, 25/75, and glasses respectively. However, the glass of 25/75 ratio run through devitrification into lithium silicate and little quartz whereas, the other three ratios formed transparent glasses. The thermal behavior of glasses shows a decrease in the main exothermic temperature; which goes along with an increase in the lithium silicate content. Sintering of such glasses at the crystallization temperature given by differential thermal analysis (at 607 °C + 705 °C and at 661 °C) or at one step at 1000 °C, indicates the formation of three phases of pseudowollastonite [Ca3(Si3O9)], wollastonite (CaSiO3), and lithium silicate (Li2SiO3). The results of the in-vitro test by means of soaking in SBF for two weeks tracked by scanning the sample's surface and measuring the calcium and phosphorous ions using induced coupled plasma (ICP) in the SBF, exhibited that samples had improved talent to accelerate the mineralization of calcium phosphate and that the ratio of Ca/P declined from 2.55 to 1.86 upon increment of the Li2O ratio. The X-ray analysis shows the formation of hydroxyapatite on the sample’s surfaces. The biocompatibility and thermal properties of the premeditated glass ceramics secure exceptional properties and can be used to impress different biomedical applications.
Modelling and optimization of bovine serum albumin adsorption on calcium bentonite using box-behnken experimental design method
Authors: Duranoğlu Dilek , Kumcu Yün Maya 
Published: November 2023

Abstract
The purpose of this study is to investigate and optimize the process parameters for bovine serum albumin (BSA) adsorption onto calcium bentonite (CaB) using the Box-Behnken experimental design method. Calcium bentonite was characterized using FT-IR, SEM, XRD, zeta potential measurements, and Boehm titration methods. The BSA adsorption capacity of calcium bentonite was modelled with respect to pH (2.8, 4.8, and 6.8), temperature (25 °C, 32.5 °C, and 40 °C), and initial protein concentration (0.1–1.2 mg ml−1) using the Box-Behnken experimental design method. The Design Expert 13.0 software was used to optimize the process conditions and obtain three-dimensional response surface graphs. A regression model, which gives the relationship between the process parameters and BSA adsorption capacity, was obtained using Design Expert software. The developed model showed that the most effective parameter on adsorption was the initial protein concentration followed by pH and temperature. The maximum adsorption capacity was obtained about 171 mg/g under optimal conditions (pH 4.8, 40 °C, and 1 mg ml−1 of initial BSA concentration). BSA adsorption onto CaB fit the pseudo-second order kinetic model. This study showed that process parameters for BSA adsorption can be effectively investigated and optimized using the Box-Behnken experimental design method with a fewer number of experiments.
A significantly enhanced magnetic moment due to an electric dipole moment
Authors: Fang Zhening , Jiang Jian-Hua , Fang Haiping 
Published: November 2023

Abstract
We demonstrate via first-principle calculations based on the density functional theory that the magnetic moment of a helium atom under a given magnetic field has a positive correlation with the electric dipole moment when an external electric field is applied to the system. Our calculation shows that the enhancement of the magnetic moment is significant due to the reduction of the triplet-singlet splitting. We argue that this finding can be generalized to organic molecules, especially to macromolecules where the structure induced an electric dipole moment which may give rise to significantly enhanced responses to the external magnetic field. These results suggest that considerable magnetic responses prevail, particularly in bio-molecules without an inversion center.
Enhancing EEG-based cross-day mental workload classification using periodic component of power spectrum
Authors: Ke Yufeng , Wang Tao , He Feng , Liu Shuang , Ming Dong 
Published: November 2023

Abstract

Objective. The day-to-day variability of electroencephalogram (EEG) poses a significant challenge to decode human brain activity in EEG-based passive brain-computer interfaces (pBCIs). Conventionally, a time-consuming calibration process is required to collect data from users on a new day to ensure the performance of the machine learning-based decoding model, which hinders the application of pBCIs to monitor mental workload (MWL) states in real-world settings. Approach. This study investigated the day-to-day stability of the raw power spectral density (PSD) and their periodic and aperiodic components decomposed by the Fitting Oscillations and One-Over-F algorithm. In addition, we validated the feasibility of using periodic components to improve cross-day MWL classification performance. Main results. Compared to the raw PSD (69.9% ± 18.5%) and the aperiodic component (69.4% ± 19.2%), the periodic component had better day-to-day stability and significantly higher cross-day classification accuracy (84.2% ± 11.0%). Significance. These findings indicate that periodic components of EEG have the potential to be applied in decoding brain states for more robust pBCIs.
Analysis of beam ion driven Alfvén eigenmode stability induced by Tungsten contamination in EAST
Authors: Wang X.H. , Huang J. , Varela J. , Zhao H.L. , Spong D.A. , Xu L.Q. , Shen W. , Chang J.F. , Fu J. , Sun Y.X. , Shi C. , Wang S.S. ,   the EAST Team
Published: November 2023

Abstract
Alfvén eigenmodes (AE) activity is observed in the EAST high β

N
and low BT
discharge 93910, operation scenario dedicated to explore the ITER baseline scenario. AEs are triggered after the plasma is contaminated by Tungsten that causes an abrupt variation of the thermal plasma and energetic particles (EPs) profiles. The aim of the present study is to analyze the AE stability in the 93910 discharge using the gyro-fluid code FAR3d, identifying the AE stability trends by comparing the plasma before and after the Tungsten contamination. Tungsten contamination causes the destabilization of Toroidal AEs (TAE) and Energetic particle modes (EPMs) in the same frequency range and radial location with respect to the experimental observation and M3D-K/GTAW code results. Next, a set of parametric studies are performed to analyze the effect of the thermal plasma and EP parameters on the AE stability. The analysis indicates a lower EP β threshold for the AEs destabilization if the EP energy increases, an improved AE stability of on-axis NBI configurations due to the stronger continuum damping in the inner plasma region as well as a large enhancement of the EP drive as the thermal ion density increases due to a higher ratio of the EP and Alfven velocities. Consequently, the simulations indicate the increment of the thermal ion density after the Tungsten contamination could be the main cause of the AE/EPM destabilization.
Heat transfer analysis and thermo-mechanical property of M-shape metal-rubber at high-temperature
Authors: Chen Y L , Hu F , Chen X C , Xue X 
Published: November 2023

Abstract
Particular attention is given to the M-shape metal-rubber (MMR), which is a porous material with cushioning characteristics and excellent heat resistance coated in pipelines. The heat transfer characteristics and thermo-mechanical property of MMR has not been clear due to its complicated micro-porous structures and the coupling effect between structure and performance. In this work, the influence of different parameters (emissivity, density and gap distance) on the equivalent thermal conductivity of MMR were considered at the mesoscopic model level. In addition, thermal stress at different temperatures was used as predefined fields for thermal-mechanical coupling to analyze the transformations of performance. The results indicate that surface emissivity and cavity emissivity during heat transfer exhibit an inverse relationship with MMR thermal conductivity. Furthermore, it is observed that natural convection has the most significant impact on thermal conductivity. And, the thermal conductivity is negative correlation with density and gap distances. Under cyclic loading, stress concentration and plastic strain occur in MMR, and residual thermal stress is generated. The secant stiffness exhibits a positive correlation with temperature, while the loss factor demonstrates a negative correlation, primarily due to thermal expansion.
Study on the physicochemical properties of Chinese PVA fibers: Toward low-cost cement-based composites
Authors: Sun J X , Qiu W , Yuan Y H , Fan Z H , Li A 
Published: November 2023

Abstract
Engineered Cementitious Composites (ECC) reinforced by Japanese Polyvinyl Alcohol (PVA) fiber showed excellent tensile ductility, which attracted much attention in the field of civil engineering in recent years, but the application was still limited by cost. There were quite a few kinds of low-priced PVA fibers in China, with a tremendous difference in physical and chemical properties. In this paper, a variety of typical PVA fibers produced in different regions in China were compared with the products imported from Japan to analyze the performance differences, especially the dispersion and enhancement effect in fiber reinforced cement matrix composites. Combining with the physical and chemical characteristics of each fiber, the relationship between the characteristics of fibers and the properties of composites was summarized. The experimental results illustrated the strength and interface characteristics of PVA fibers were the dominating influencing factors to the bending and tensile properties of PVA-ECC, while hardly affected the compressive strength. Insufficient intrinsic strength of fibers significantly decreased bending resistance and tensile strength. Excessive oil agent treated PVA fibers performed lower interfacial reaction with the cement matrix, meanwhile original PVA fiber with high hydrophilicity was not conducive to the dispersion and bridging function. The appropriate interface treatment approach could guarantee the fibers to achieve the sliding pull out bridge connection, and also meet the high slip strengthening effect, leading to the multi-seam cracking and strain hardening characteristics of ECC material. This work provided the preparation of low-cost cement-based composites, guiding the selection of fiber raw materials in ECC.
Research on Failure Cause and Mechanism of High Temperature Protective Coatings
Authors: Zhu Lijuan 
Published: November 2023

Abstract
In the aerospace industry, engines are exposed to extreme stress during long-term operation in high-temperature oxidation atmospheres and gas-corrosive environments. To extend the engine’s service life, it is often necessary to apply high-temperature protective coatings to enhance their resistance to high-temperature oxidation and thermal corrosion. However, in harsh, highly corrosive, and high-temperature environments, such as medium environments, as well as high vibrations and flow rates, these protective coatings can often suffer from damage and failure. This research work aims to summarize the causes of failure in high-temperature protective coatings, discuss the failure mechanisms in detail, and address issues such as interdiffusion, matching of thermal expansion coefficients, wear resistance, and erosion resistance in the design of these coatings. The findings will provide theoretical support for failure analysis, life prediction, and new material design of high-temperature protective coatings.
Buckling stability of variable stiffness composite cylinder shell based on automated fiber placement technology
Authors: Wei Yuxuan , Liu Jia , Zhu Dalei , He Cheng , Luo Jintao , Xu Ting , Li Bo , Li Xiao 
Published: November 2023

Abstract
Automated fiber placement technology (AFP) is the key technology to realize variable-stiffness design that have fiber orientation variation across its in-plane. However, defects such as fiber angle deviation and overlap are inevitable during AFP manufacturing. A finite element model has been developed for variable-stiffness cylinder shell that can investigate the effect of the overlap areas and fiber angle deviation on the buckling stability of variable stiffness cylinder shell. Furthermore, the influence of the design parameters of the curved fiber path and the process parameters such as the tow width, the number of tow feeding, and the overlapping strategies on the buckling performance of the structure was studied by parametric analysis. The results showed under the condition of compression-bending coupling, the buckling performance is improved by the variable stiffness design in which the fiber angle varies along the circumferential direction, the maximum critical buckling load factor of optimal variable-stiffness design [0 /〈30|80〉/ 90 /−〈30|80〉]
s
is 10771, which is 21.1% higher than that of the optimal normal stiffness design. It is found that increasing the course width reduces the buckling performance of the variable stiffness structure, when the tow width is kept constant. When the course width is kept constant, the buckling performance of the variable stiffness structure increases with the increase of the tow width.
Optimization of power feedback control system for HCN interferometer on EAST Tokamak
Authors: Zhang J.B. , Liu H.Q. , Zhang Y. , Jie Y.X. , Wei X.C. , Xie J.X. , Wang S.X. , Lian H. 
Published: November 2023

Abstract
The Hydrogen Cyanide (HCN) interferometer stands as an indispensable diagnostic tool,
designated to measure the line-integrated electron density on the Experimental Advanced
Superconducting Tokamak (EAST), thereby offering essential density feedback signals for EAST
operation. The HCN laser used in the interferometer is a continuous glow discharge gas
laser. However, owing to variations in external ambient temperature, the HCN laser exhibits output
power instability. The current power automatic feedback control system for the HCN laser
interferometer exhibits low actuator adjustment precision, thereby limiting its ability to achieve
maximum output power. Moreover, the system may cause a temporary power drop to zero during
adjustment, while EAST operation requires the HCN laser interferometer to maintain high power
continuously. In order to solve the issues, this paper developed an innovative actuator that
ingeniously amalgamates the virtues of piezoelectric ceramic and stepper motor. This novel
actuator, demonstrating a broad adjustment range and high precision, is intended to replace the
present one in the HCN interferometer power control system. While the stepper motor executes
coarse adjustment, the piezoelectric ceramic enables precise adjustment, thus enhancing the
adjustment accuracy of the automatic power control system to a sub-micrometer level and an
adjustment range greater than 5 mm. Accurate determination of the regulator's adjustment direction
can significantly improve the efficiency of adjustment. The slope of the laser output power peak
decreases as it approaches the maximum value, and increases as it moves away from the maximum
value. Therefore, this system replaces the original threshold algorithm with a slope algorithm. By
correctly judging the adjustment direction, the efficiency of adjustment is improved. Furthermore,
this algorithm can keep the output power stable on a power peak. There will be no instances of
zero power output during the adjustment, allowing the power to remain stable above the set
threshold for a long time. Currently, this system has been successfully applied to the HCN
interferometer, and testing has found that the system can maintain stability for at least 16 hours. Furthermore, even when the laser output power was intentionally reduced to below the set
threshold, the system was able to respond quickly and adjust the output, rapidly restoring it to
above the predefined threshold. Multiple tests have shown the strong robustness of the system,
indicating it meets the stringent demands of the EAST's complex environment.
Personal Morality and Political Justice
Authors: Levinson Daryl J 
Published: November 2023

Abstract
This chapter examines the moral and legal frameworks that have been used to assess state wrongdoing. For this purpose, as well, the state is commonly imagined as a personified Leviathan whose (mis)behavior can be evaluated by the standards we routinely apply to ordinary persons. That certainly appears to be the approach of constitutional law, which has borrowed principles of personal morality and legality for purposes of adjudicating when the state has violated constitutional rights. The result is that constitutional law myopically focuses on small-scale harms to individuals while blinding itself to big-picture, systemic injustices, from racial and economic inequality and subordination to the degradation of democracy. Internationalists, in contrast, have joined moral and political philosophers in recognizing that normative frameworks and principles developed to govern the conduct of regular persons are a poor fit for the peculiar creature of Leviathan. We should demand more and different from the state.
Odes
Authors: Morgan Llewelyn 
Published: November 2023

Abstract
This chapter tackles Horace’s lyric poetry, the four books of the Odes and the Carmen Saeculare, on which his high reputation mainly rests. The nature of ancient lyric is discussed (and how it differs from modern notions), and its kinship with and difference from iambic poetry, and, above all, how central to Horace’s lyric the symposium and notions of male bonding are that it brings with it. The implications for Rome enjoying a still fragile peace, as it then was, are clear of a poetry that brings the male elite of Rome together, metaphorically, to drink. Attention is given to the meticulous compositional habits required of lyric form, and Horace’s achievement in naturalizing Greek forms to the Latin language: the flexibility of Horace’s word order in fact represents Horace’s triumphant exploitation of the potential of Latin to forge a stunningly expressive mode of poetry. The middle-aged tone of the poetry is emphasized, how the poet presents his time of life, and how that shapes the voice of the poetry, its attitude to love and its authority for sharing the worldly wisdom (carpe diem, etc.) that is a prominent feature of these collections. The Carmen Saeculare, a poem requested of Horace by the Emperor Augustus and, unlike his other lyric poems, designed to be sung to music is discussed, a striking reframing of his lyric style to meet the requirements of a public prayer to the gods for a new epoch of prosperity.
Horace after Horace
Authors: Morgan Llewelyn 
Published: November 2023

Abstract
This chapter illustrates the afterlife of Horace in antiquity, the Middle Ages, and beyond, identifying salient features of his tradition such as the emphasis on his Odes and Epistles, the strong association of the poet with notions of intellectual retirement, the memorability of much of his poetry, and the international, though broadly European, extent of his popularity. Attempts to set his poetry to music are also considered, and the particular use made of the Carmen Saeculare by the Fascist regime in Italy. The overwhelmingly masculine character of Horace’s poetry and tradition is partly corrected, and the point made more forcefully that a tradition inevitably misshapes a Classical poet, emphasizing some aspects, suppressing others—but in that resides much of the vitality of his afterlife.
Critical features of multifactorial interventions for effective falls reduction in residential aged care: a systematic review, intervention component analysis and qualitative comparative analysis
Authors: Suen Jenni , Kneale Dylan , Sutcliffe Katy , Kwok Wing , Cameron Ian D , Crotty Maria , Sherrington Catherine , Dyer Suzanne 
Published: November 2023

Abstract

Background
Multifactorial fall prevention trials providing interventions based on individual risk factors have variable success in aged care facilities. To determine configurations of trial features that reduce falls, intervention component analysis (ICA) and qualitative comparative analysis (QCA) were undertaken.

Methods
Randomised controlled trials (RCTs) from a Cochrane Collaboration review (Cameron, 2018) with meta-analysis data, plus trials identified in a systematic search update to December 2021 were included. Meta-analyses were updated. A theory developed through ICA of English publications of trialist’s perspectives was assessed through QCA and a subgroup meta-analysis.

Results
Pooled effectiveness of multifactorial interventions indicated a falls rate ratio of 0.85 (95% confidence interval, CI, 0.65–1.10; I2 = 85%; 11 trials). All tested interventions targeted both environmental and personal risk factors by including assessment of environmental hazards, a medical or medication review and exercise intervention. ICA emphasised the importance of co-design involving facility staff and managers and tailored intervention delivery to resident’s intrinsic factors for successful outcomes. QCA of facility engagement plus tailored delivery was consistent with greater reduction in falls, supported by high consistency (0.91) and coverage (0.85). An associated subgroup meta-analysis demonstrated strong falls reduction without heterogeneity (rate ratio 0.61, 95%CI 0.54–0.69, I2 = 0%; 7 trials).

Conclusion
Multifactorial falls prevention interventions should engage aged care staff and managers to implement strategies which include tailored intervention delivery according to each resident’s intrinsic factors. Such approaches are consistently associated with a successful reduction in falls, as demonstrated by QCA and subgroup meta-analyses. Co-design approaches may also enhance intervention success.
CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation
Authors: Li Peilong , Wei Junfeng , Zhu Ying 
Published: November 2023

Abstract
Interpreting the function of genes and gene sets identified from omics experiments remains a challenge, as current pathway analysis tools often fail to consider the critical biological context, such as tissue or cell-type specificity. To address this limitation, we introduced CellGO. CellGO tackles this challenge by leveraging the visible neural network (VNN) and single-cell gene expressions to mimic cell-type-specific signaling propagation along the Gene Ontology tree within a cell. This design enables a novel scoring system to calculate the cell-type-specific gene-pathway paired active scores, based on which, CellGO is able to identify cell-type-specific active pathways associated with single genes. In addition, by aggregating the activities of single genes, CellGO extends its capability to identify cell-type-specific active pathways for a given gene set. To enhance biological interpretation, CellGO offers additional features, including the identification of significantly active cell types and driver genes and community analysis of pathways. To validate its performance, CellGO was assessed using a gene set comprising mixed cell-type markers, confirming its ability to discern active pathways across distinct cell types. Subsequent benchmarking analyses demonstrated CellGO’s superiority in effectively identifying cell types and their corresponding cell-type-specific pathways affected by gene knockouts, using either single genes or sets of genes differentially expressed between knockout and control samples. Moreover, CellGO demonstrated its ability to infer cell-type-specific pathogenesis for disease risk genes. Accessible as a Python package, CellGO also provides a user-friendly web interface, making it a versatile and accessible tool for researchers in the field.