bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of environmental factors on the coevolution of information–emotions–epidemic dynamics in activity-driven multiplex networks
Authors: Huo 霍 Liang’an 良安 , Liu 刘 Bingjie 炳杰 , Zhao 赵 Xiaomin 晓敏 
Published: September 2024

Abstract
During public health emergencies, the diffusion of negative information can exacerbate the transmission of adverse emotions, such as fear and anxiety. These emotions can adversely affect immune function and, consequently, influence the spread of the epidemic. In this study, we established a coupled model incorporating environmental factors to explore the coevolution dynamic process of information–emotions–epidemic dynamics in activity-driven multiplex networks. In this model, environmental factors refer to the external conditions or pressures that affect the spread of information, emotions, and epidemics. These factors include media coverage, public opinion, and the prevalence of diseases in the neighborhood. These layers are dynamically cross-coupled, where the environmental factors in the information layer are influenced by the emotional layer; the higher the levels of anxious states among neighboring individuals, the greater the likelihood of information diffusion. Although environmental factors in the emotional layer are influenced by both the information and epidemic layers, they come from the factors of global information and the proportion of local infections among surrounding neighbors. Subsequently, we utilized the microscopic Markov chain approach to describe the dynamic processes, thereby obtaining the epidemic threshold. Finally, conclusions are drawn through numerical modeling and analysis. The conclusions suggest that when negative information increases, the probability of the transmission of anxious states across the population increases. The transmission of anxious states increases the final size of the disease and decreases its outbreak threshold. Reducing the impact of environmental factors at both the informational and emotional levels is beneficial for controlling the scale of the spread of the epidemic. Our findings can provide a reference for improving public health awareness and behavioral decision-making, mitigating the adverse impacts of anxious states, and ultimately controlling the spread of epidemics.
Prospect of Detecting Magnetic Fields from Strong-magnetized Binary Neutron Stars
Authors: Tang Rundong , Zhong Xingyu , Jiang Ye , Shen Ping , Wang Yu 
Published: September 2024

Abstract
Binary neutron star mergers are unique sources of gravitational waves in multi-messenger astronomy. The inspiral phase of binary neutron stars can emit gravitational waves as chirp signals. The present waveform models of gravitational waves only considered the gravitational interaction. In this paper, we derive the waveform of the gravitational wave signal taking into account the presence of magnetic fields. We found that the electromagnetic interaction and radiation can introduce different frequency-dependent power laws for both the amplitude and frequency of the gravitational wave. We show from the results of the Fisher information matrix that the third-generation observation may detect magnetic dipole moments if the magnetic field is ∼1017 G.
Mesiri: Mephisto Early Supernovae Ia Rapid Identifier
Authors: Zhang Lun-Wei , Wang Zhen-Yu , Liu De-Zi , Fang Yuan , Kumar Brajesh , Chen Bing-Qiu , Er Xin-Zhong , Liu Xiao-Wei 
Published: September 2024

Abstract
The early time observations of Type Ia supernovae (SNe Ia) play a crucial role in investigating and resolving longstanding questions about progenitor stars and the explosion mechanisms of these events. Colors of supernovae (SNe) in the initial days after the explosion can help differentiate between different types of SNe. However, the use of true color information to identify SNe Ia at the early-time explosion is still in its infancy. The Multi-channel Photometric Survey Telescope (Mephisto) is a photometric survey telescope equipped with three CCD cameras, capable of simultaneously imaging the same patch of sky in three bands (u, g, i or v, r, z), yielding real-time colors of astronomical objects. In this paper, we introduce a new time-series classification tool named Mephisto Early Supernovae Ia Rapid Identifier (Mesiri), which, for the first time, utilizes real-time color information to distinguish early-time SNe Ia from core-collapse supernovae. Mesiri is based on the deep learning approach and can achieve an accuracy of 96.75% ± 0.79%, and AUC of 98.87% ± 0.53% in case of single epoch random observation before the peak brightness. These values reach towards perfectness if additional data points on several night observations are considered. The classification with real-time color significantly outperforms that with pseudo-color, especially at the early time, i.e., with only a few points of observations. The BiLSTM architecture shows the best performance compared to others that have been tested in this work.
Continuous cooling transformation behavior of V microalloyed hot-bent X80 pipeline steel
Authors: An Tao , Liu Wenyue , Li Tianyi , Zang Yan , Li Jiangwen 
Published: September 2024

Abstract
Continuous cooling transformation (CCT) behavior of a vanadium-microalloyed hot bent pipeline steel was studied by using Gleeble 3800 thermal simulation machine, and the hot-rolling technique of the tested steel was designed. Acicular ferrite and granular bainite can be observed with the cooling speeds ranging from 1~ 40 °C/s. Higher cooling speed leads to grain refinement. The yield strength is 570 MPa. The ultimate tensile strength (UTS) is 757 MPa. The fracture elongation is 22.50 %. The low temperature toughness at -40 °C is 325 J. The tested steel has both high strength and good low temperature toughness, and meets the mechanical performance requirement of API Spec 5L specification for X80 pipeline steel.
Study on solidification organization and phase formation of Fe-6.5wt.%Si high silicon steel by arc melting and heat treatment
Authors: Liu Yanxia , Pan Enbao , Zhang Zhiwang , Ji Qiuxin , Zhang Xinyao 
Published: September 2024

Abstract
The solidification microstructure and phase formation behavior of Fe-6.5wt.%Si high silicon steel was investigated using arc melting and heat treatment. The alloy phase composition and microstructure were analyzed by XRD and SEM. The magnetic performance was measured at a high- and low-temperature vibration sample magnetometer. The results show that the temperature gradient causes alloy ingot to be roughly divided into three layers. With the decrease in temperature, from the bottom to the top, the phase morphology is fine crystals, columnar internal dendrites, and isoaxial internal dendrites. In the annealing ring ingot, the inner dendrites disappeared, and from the bottom to the top of the sample, the microstructure changed from fine crystal, columnar crystal, and isoaxial crystal, to micro-cracks, which first increased and then reduced. The hysteresis loop curve width of the alloy is narrow, the slope is large, the hysteresis is 0.126 emu/g, and the magnetic utilization after annealing decreases to 0.0667 emu/g, but the coercive force increases to 2.8 Oe/g, and the annealed alloy is more sensitive to the magnetic field and has a high magnetic conductivity coefficient.
A model-adaptive compensation algorithm for additive-subtractive hybrid manufacturing
Authors: Wang Yin , Chen Yukai , Lu Yu , Wang Junyao , Zhang Qi 
Published: September 2024

Abstract
Additive-subtractive hybrid manufacturing (ASHM) is a manufacturing method that combines additive manufacturing (AM) with subtractive manufacturing (SM) techniques. Given that the surface accuracy of ASHM components primarily relies on numerical control (NC) machining, it is imperative to incorporate model compensation to preserve finishing allowances, thereby obtaining additive manufacturing (AM) models from design models. This paper proposes a model adaptive compensation algorithm capable of dynamically adjusting the design model based on both model characteristics and the AM process. This algorithm not only ensures the retention of suitable finishing allowances but also addresses part size errors arising from the AM process. Comparative analysis against traditional CAD reconstruction methods highlights the algorithm’s superior attributes in terms of accuracy, efficiency, and adaptability when confronted with intricate model compensation scenarios.
Bending stiffness analysis of regular polyhedron sandwich structures
Authors: Wang Yingjie , Cai Shenghang , Zhang Qin 
Published: September 2024

Abstract
As a new type of sandwich structure, regular polyhedron sandwich structure has excellent structure performances such as high bending resistance and energy-absorbing features. However, the current design process of regular polyhedron sandwich structures often ignores the influence of unit-cell parameters on structural bending stiffness. Based on origami geometry, this study analyzes the geometric characteristics of polyhedron unit-cell structures. A simulation model was established to analyze the bending performance of regular polyhedron sandwich structures. The influence of the number of polyhedron surfaces and similarity transformation parameters on bending stiffness was analyzed by finite element software. Through finite simulation analysis, the influence graph of bending performance in the impact of various parameters was obtained. This analysis provides valuable insights for the optimization design of regular polyhedron sandwich structures.
Working space planning for wheeled robot overturning stability
Authors: Xing Haoxin , Li Tiejun , Liu Jinyue 
Published: September 2024

Abstract
Mobile manipulators have been widely used in the field of building construction. Typical features of construction robots include crossing various rugged terrains in construction sites, carrying heavy payloads, and performing tasks in a large workspace, which may lead to unstable posture or overturning. The tipping of the mobile manipulator, especially when carrying a payload, will cause danger to the surrounding environment and staff, leading to the termination of the task. The purpose of this study is to establish a real-time tipping prediction system, which can be used to avoid tipping of mobile manipulators. By employing the CAD model of the robot and parameters such as the center of gravity and direction, we can ascertain and assess the instability of the robot and the overturning algorithm, thus providing early warning and averting any potential danger.
Injectable calcium phosphate cement integrated with BMSCs-encapsulated microcapsules for bone tissue regeneration
Authors: Yuan Yafei , Hu Jiangqi , Shen Lipei , He Lin , Zhu Yixuan , Meng Dan , Jiang Qingsong 
Published: September 2024

Abstract
Injectable calcium phosphate cement (CPC) offers significant benefits for the minimally invasive repair of irregular bone defects. However, the main limitations of CPC, including its deficiency in osteogenic properties and insufficient large porosity, require further investigation and resolution. In this study, alginate–chitosan–alginate (ACA) microcapsules were used to encapsulate and deliver rat bone mesenchymal stem cells (rBMSCs) into CPC paste, while a porous CPC scaffold was established to support cell growth. Our results demonstrated that the ACA cell microcapsules effectively protect the cells and facilitate their transport into the CPC paste, thereby enhancing cell viability post-implantation. Additionally, the ACA + CPC extracts were found to stimulate osteogenic differentiation of rBMSCs. Furthermore, results from a rat cranial parietal bone defect model showed that ACA microcapsules containing exogenous rBMSCs initially improved the in situ osteogenic potential of CPC within bone defects, providing multiple sites for bone growth. Over time, the osteogenic potential of the exogenous cells diminishes, yet the pores created by the microcapsules persist in supporting ongoing bone formation by recruiting endogenous cells to the osteogenic sites. In conclusion, the utilization of ACA loaded stem cell microcapsules satisfactorily facilitate osteogenesis and degradation of CPC, making it a promising scaffold for bone defect transplantation.
Nanobubble-mediated co-delivery of siTRIM37 and IR780 for gene and sonodynamic combination therapy against triple negative breast cancer
Authors: He Xiang , Zhang Shentao , Tian Yuhang , Dong Jialin , Yuan Yanchi , Jing Hui 
Published: September 2024

Abstract
Gene therapy often fails due to enzyme degradation and low transfection efficiency, and single gene therapy usually cannot completely kill tumor cells. Several studies have reported that tripartite motif-containing protein 37 (TRIM37) plays a significant role in promoting the occurrence and development of triple negative breast cancer (TNBC). Herein, we constructed siTRIM37 and IR780 co-loaded nanobubbles (NBs) to achieve the combination of gene therapy and sonodynamic therapy (SDT) against TNBC. On the one hand, ultrasound irradiation causes siRNA@IR780 NBs rupture to produce ultrasound targeted NB destruction effect, which promotes the entry of IR780 and siTRIM37 into cells, increasing the local concentration of IR780 and gene transfection efficiency. On the other hand, under the stimulation of ultrasound, IR780 generates reactive oxygen species to kill TNBC cells. Mechanism studies reveal that TRIM37 is an anti-apoptotic gene in TNBC, and inhibiting TRIM37 expression can induce cell death through the apoptotic pathway. And the combination of siTRIM37 and SDT can aggravate the degree of apoptosis to increase cell death. Therefore, siRNA@IR780 NBs-mediated combination therapy may provide a new treatment approach for TNBC in the future.
3D-printed magnesium-doped micro-nano bioactive glass composite scaffolds repair critical bone defects by promoting osteogenesis, angiogenesis, and immunomodulation
Authors: Dai Kun , Zhao Fujian , Zhang Wen , Chen Dafu , Hang Fei , Zou Xuenong , Chen Xiaofeng 
Published: September 2024

Abstract
Magnesium ions play an important immune-regulatory role during bone repair. For this study, we prepared micro-nano bioactive glass (MNBG) containing magnesium, which can release magnesium, silicon, and calcium ions and has a positive impact on osteogenic differentiation and vascular regeneration. In this study, MgMNBG was compounded and combined with poly(lactic-co-glycolic acid (PLGA) and polycaprolactone (PCL) for 3D printing. Afterwards, the physicochemical properties and bone repair performance of the scaffolds were evaluated through in vitro and in vivo experiments. We also investigated the effects of MgMNBG on osteogenic differentiation, immune regulation, and vascular regeneration. The results showed that MgMNBG can inhibit inflammation and promote osteogenesis and angiogenesis by regulating macrophages. PLGA/PCL/MgMNBG scaffolds have good osteogenic and angiogenic effects, and the composite scaffolds have excellent bone repair performance and potential application value.
Electrospun polyvinyl alcohol nanofiber scaffolds incorporated strontium-substituted hydroxyapatite from sand lobster shells: synthesis, characterization, and in vitro biological properties
Authors: Diputra Arian Hermawan , Dinatha I Kadek Hariscandra , Cahyati Nilam , Fatriansyah Jaka Fajar , Taufik Muhamad , Hartatiek  , Yusuf Yusril 
Published: September 2024

Abstract
The paper describes the synthesis of hydroxyapatite (HAp) and strontium-substituted hydroxyapatite (SrHAp) from sand lobster shells by a hydrothermal method. The HAp and SrHAp were incorporated into the polyvinyl alcohol (PVA) nanofiber scaffold through the eletrospinning method. The scaffolds were incorporated with 5 wt% of HAp, 5 wt%, 10 wt%, and 15% of SrHAp. The physicochemical, mechanical, and in vitro biological properties of the scaffold were evaluated. The incorporation of HAp or SrHAp was evidenced by the diffraction patterns and the phosphate functional groups related to HAp. The morphological results showed the decrement of fiber diameter in line with the increased SrHAp concentration. A tensile test was conducted to investigate the mechanical properties of the scaffolds, and the results showed that the scaffolds perform poorly at a higher SrHAp concentration because of exceeding agglomeration levels. The PVA/SrHAp15 performed the best antibacterial activity against E. coli and S. aureus with an inhibition zone of (15.2 ± 0.2) and (14.5 ± 0.8), respectively. The apatite formation was more abundant in PVA/SrHAp10 after immersion in a simulated body fluid. Cell viability results showed that the scaffold enabled the osteoblast cells to grow and proliferate. The biocompatibility of HAp and SrHAp resulted in the enhancement of cell adhesion. Based on all tests, the PVA/SrHAp 10 scaffold shows a strong candidate for further in vivo studies.
Assessing the Impact of ASEAN’s Harmonised Minimum Efficiency Performance Standards on AC Manufacturers
Authors: Jon Piter Silitonga Rio , Trong Anh Vu , Buntara Supendi Septia , Aplex Firstonda Katon Muhammad 
Published: September 2024

Abstract
The residential sector in ASEAN is highly dependent on cooling as a primary energy use along with cooking, making up about 82% of the sector’s demand in 2050. Air conditioner (AC) is one of the cooling appliances in ASEAN that will drive energy demand growth in ASEAN. Consequently, this surge in demand also contributes significantly to the region’s CO2 emissions. Recognizing the impact of AC utilisation, energy efficiency in AC is considered the most effective way to propose energy savings and environmental impacts. In order to improve energy efficiency in AC, ASEAN has committed to stringent Minimum Energy Performance Standards (MEPS) by achieving a target for a Cooling Seasonal Performance Factor (CSPF) of 3.7 by 2023 and 6.09 by 2025. However, an update of MEPS across the ASEAN region has key two challenges: Firstly, the financial investment required by manufacturers; and secondly, the development and evolution of AC technology. This study aims to utilise Techno-Economic Assessment (TEA) to evaluate the impact of increased MEPS on AC manufacturers in the ASEAN region, with MEPS levels forming the framework for the TEA. The findings from this study offer valuable insights to manufacturers and policymakers, particularly regarding the impact of increased MEPS on AC manufacturers.
ASEAN Financing Climate Policy: The Effect of Fossil Fuel Subsidies on CPI and GHGs
Authors: Boonyasana K , Ahmad M , Kenjegaliev A , Mora F M , Foabeh P A , Lina N P M , Lopez J B G 
Published: September 2024

Abstract
The Association of Southeast Asian Nations (ASEAN) employs fossil fuel subsidies to promote economic development, although such action may have a negative effect on the environment. This study employs panel data analysis to examine whether ASEAN’s fossil fuel (oil, gas, coal, and electricity) subsidies decrease the consumer price index (CPI; Model 1) and, on the other hand, increase greenhouse gas emissions (GHGs; Model 2) from energy levels, using yearly data of five ASEAN countries from 2010 to 2021. The findings demonstrate that ASEAN’s fossil fuel subsidies for oil, gas, coal and electricity do not reduce the CPI and, therefore, cannot be interpreted as reducing inflation. In addition, there is no effect of gas and coal subsidies on GHGs. This might be due to the small average of the five ASEAN countries from 2010 to 2021 in terms of gas and coal subsidies. Following the expectation, oil subsidy, which is the highest amount on average (4,635.44 real 2021 million USD), has a strong positive effect on GHGs. However, electricity subsidy, which is the second highest amount on average (1,963.22 real 2021 million USD), has a significant negative effect on GHGs.
Are long-term alcohol health harms overlooked in individuals with illicit drug problems? Alcohol-related morbidity and mortality in a Danish cohort of clients in residential rehabilitation for drug use disorders
Authors: Brummer Julie , Kvamme Timo Lehmann , Thylstrup Birgitte , Hesse Morten 
Published: September 2024

Abstract

Aims
This study described the burden of alcohol-related morbidity and mortality among those who had been enrolled in residential treatment for drug use disorders in Denmark and investigated whether self-reported information on alcohol use provided at treatment admission can be used to assess risk for future serious alcohol-related harms.

Methods
At baseline (entry in drug use disorder treatment during 2000–10), clients completed a European adaptation of the Addiction Severity Index-5. We tracked 4981 clients through 2018 using multiple national registers to identify fully (100%) alcohol-attributable hospital contacts and deaths.

Results
The death rate due to fully alcohol-attributable causes was 411 per 100 000 person-years, with an average of 0.18 fully alcohol-attributable hospital contacts per person-year. Using the Addiction Severity Index-5 alcohol composite score as a predictor in an adjusted competing risks regression model, a higher score was associated with a higher risk of alcohol-related death. The alcohol composite score was a significant predictor of alcohol-related hospital contacts in an adjusted recurrent events model.

Conclusions
A substantial proportion of people originally identified as experiencing drug use disorders have alcohol problems that need to be monitored and managed to prevent serious complications. By demonstrating the predictive power of self-reported data, our study concludes that the Addiction Severity Index-5 can be used to identify individuals with drug use disorders at risk for severe long-term alcohol-related health outcomes.
Atomistic simulations reveal impacts of missense mutations on the structure and function of SynGAP1
Authors: Ali Aliaa E , Li Li-Li , Courtney Michael J , Pentikäinen Olli T , Postila Pekka A 
Published: September 2024

Abstract
De novo mutations in the synaptic GTPase activating protein (SynGAP) are associated with neurological disorders like intellectual disability, epilepsy, and autism. SynGAP is also implicated in Alzheimer’s disease and cancer. Although pathogenic variants are highly penetrant in neurodevelopmental conditions, a substantial number of them are caused by missense mutations that are difficult to diagnose. Hence, in silico mutagenesis was performed for probing the missense effects within the N-terminal region of SynGAP structure. Through extensive molecular dynamics simulations, encompassing three 150-ns replicates for 211 variants, the impact of missense mutations on the protein fold was assessed. The effect of the mutations on the folding stability was also quantitatively assessed using free energy calculations. The mutations were categorized as potentially pathogenic or benign based on their structural impacts. Finally, the study introduces wild-type-SynGAP in complex with RasGTPase at the inner membrane, while considering the potential effects of mutations on these key interactions. This study provides structural perspective to the clinical assessment of SynGAP missense variants and lays the foundation for future structure-based drug discovery.
Thin-film fabrication of polythiophene block copolymer via friction transfer
Authors: Yamagishi Mizuho , Yamamoto Sonoka , Okano Kentaro , Koshiba Yasuko , Horike Shohei , Ishida Kenji , Horie Masaki , Mori Atsunori 
Published: September 2024

Abstract
A thin film of thiophene block copolymer composed of 3-dodecylthiophene and 3-benzenesulfonato–thiophene was fabricated by using the friction-transfer method. The benzenesulfonato moiety was transformed by heating to the corresponding sulfonic acid, which induced self-doping. The obtained friction-transfer film showed different morphology from the related cast film. It was also revealed that the film indicated anisotropy parallel/perpendicular toward the drawing direction, which induced absorption dichroism and anisotropy of electric conductivity.