bluuebunny/crossref_metadata_2025 huggingface dataset:
Endogenous H2S-activated Ag nanoparticles embedded in programmed DNA-cubes for specific visualization of colorectal cancer cells
Authors: Chen Wenhui , Mao Wei , Yin Yuqi , Ma Ziyu , Song Meiqi , Ma Zixiao , Li Tingting , Zhu Jia , Liu Chang , Yu Hui , Tang Sheng , Shen Wei
Published: April 2024

A programmed DNA-cube as a carrier for silver nanoparticles (Ag NPs) to construct a specific hydrogen sulfide (H2S) responsive platform (Ag NP@DNA-cube) for diagnosing colorectal cancer (CRC) was proposed in this study.
A novel one-dimensional Y2(Zr0.6Ti0.4)2O7:Eu tube-in-tube nanostructure fabricated by a single-nozzle electrospinning technique and its low color drift property at high temperature
Authors: Cong Shanshan , Tian Zhuang , Yu Hongquan , Xu Sai , Cheng Lihong , Chen Baojiu , Liu Tianshuo
Published: April 2024

1D Y2(Zr0.6Ti0.4)2O7:Eu tube-in-tube nanostructures were fabricated by a simple single-nozzle electrospinning method. These materials exhibit excellent luminescent stability and lower color drift performance at high temperatures.
A tungsten-based metamaterial emitter for solar thermophotovoltaic systems
Authors: Cao Yuchun , Zhang Heng , Chen Ning , Liu Haotuo , Feng Yongtao , Wu Xiaohu
Published: April 2024

We propose a tungsten-only emitter with over 90% emissivity in the wavelength range of 950–1590 nm and lower emissivity in the wavelength range exceeding 2000 nm, which can effectively match GaSb cells for thermoelectric conversion.
Electronic structure and thermodynamic approaches to the prospect of super abundant vacancies in δ-Pu
Authors: Muñoz Alexander , Matanovic Ivana , Gifford Brendan , Rudin Sven , Holland Troy , Jones Travis
Published: April 2024

In this manuscript, we use density functional theory to develop thermodynamic models for super abundant vacancy (SAV) formation in delta-Pu. We find that the formation of a hydride phase will occur before reaching the H pressures needed to form a SAV phase.
Reactions of gas-phase uranyl formate/acetate anions: reduction of carboxylate ligands to aldehydes by intra-complex hydride attack
Authors: Bubas Amanda R. , Tatosian Irena J. , Iacovino Anna , Corcovilos Theodore A. , van Stipdonk Michael J.
Published: April 2024

Experiment and theory show that loss of acetaldehyde is favored over formaldehyde during intramolecular hydride attack in uranyl complexes with accetate and formate ligands.
Magnesium-porphyrin as an efficient photocatalyst for the transformation of CO2 to cyclic carbonates and oxazolidinones under ambient conditions
Authors: Meher Sushanta Kumar , Nayak Prakash , Dhala Sasmita , Tripathy Swetapadma , Venkatasubbaiah Krishnan
Published: April 2024

Herein, we report an efficient and simple photocatalytic system based on Mg-porphyrin for the synthesis of cyclic carbonates and oxazolidinones. As this reaction uses non-toxic, renewable, and widely available CO2, it promotes sustainability.
Chlorinated-Ti3C2TF as a dual-functional buried interface on SnO2 electron-transporting layers for 25.09% high-performance n–i–p perovskite solar cells
Authors: Cao Ji , Chen Qiaoyun , Wu Wenting , Fu Jianfei , Zhang Zelong , Chen Lei , Wang Rui , Yu Wei , Wang Lijie , Nie Xiaoting , Zhang Jing , Zhou Yi , Song Bo , Li Yongfang
Published: April 2024

Chlorinated-Ti3C2TF is used as dual functional buried-interface on SnO2 electron transporting layer for 25.09% high performance n–i–p perovskite solar cells.
In situ formed catalysts for active, durable, and thermally stable ammonia protonic ceramic fuel cells at 550 °C
Authors: Zhang Hua , Xu Kang , Xu Yangsen , He Fan , Zhu Feng , Sasaki Kotaro , Choi YongMan , Chen Yu
Published: April 2024

In situ formed hetero-structured catalysts are reported to enhance the activity, durability, and thermal stability of NH3-PCFC at low temperatures of 550 °C and/or below.
The composition of Tibetan kefir grain TKG-Y and the antibacterial potential and milk fermentation ability of S. warneri KYS-164 screened from TKG-Y
Authors: Guo Xing , He Yining , Cheng Yifan , Liang Jingyimei , Xu Pandi , He Wenwen , Che Jiayin , Men Jiexing , Yuan Yahong , Yue Tianli
Published: April 2024

This manuscript studied the microbial composition of kefir grains (TKG-Y) produced by Tibetan herders and screened out S. warneri KYS-164, which can produce bacteriocin-like inhibitory substances (BLIS), and demonstrated the potential of this strain in dairy fermentation.
Chitosan-based glycated polyampholyte nanogels for copper-catalysed Fenton-like reaction
Authors: Jung Yeonjoo , Lee Eunseo , Baek So-Lee , Lee Sang-Min
Published: April 2024

Chemically modified chitosan-based nanogel structures are prepared as nanocatalysts for Fenton-like reactions. The resulting Cu-chealted nanogels exhibit a characteristic catalytic activity due to the self-folded polysaccharide scaffolds.
Cutting-edge approaches for targeted drug delivery in breast cancer: beyond conventional therapies
Authors: Chaudhari Ramesh , Patel Vishva , Kumar Ashutosh
Published: April 2024

Discover the groundbreaking potential of nanotech-based targeted delivery in breast cancer therapy. Our review showcases how this innovative precision medicine approach can revolutionise treatment and improve patient outcomes.
Theoretical investigation of the effect of radical substituents on the open-shell character of polycyclic aromatic hydrocarbons
Authors: Shinozuka Tomohito , Shimizu Daiki , Matsuda Kenji
Published: April 2024

Radical substituents was found to significantly alter the open-shell character y of PAHs compared to non-radical substituents.
Boric acid-grafted biochar (BoAB) for the direct amidation of carboxylic acids and amines
Authors: Singh Adhish , Kapoor Mohit
Published: April 2024

Boric acid grafted biochar was developed and explored for its potential in the amidation of unactivated carboxylic acids and amines under mild conditions.
Evaluation of the antiepileptic activity of hesperidin by fluorescence imaging
Authors: Yin Yan , Song Wenhui , Ai Yinhu , Lin Weiying
Published: April 2024

Evaluation of the antiepileptic activity of hesperidin via near-infrared fluorescence imaging based on viscosity.
Rapid in situ generation of 2-(halomethyl)-5-phenylfuran and nucleophilic addition in a microflow reactor
Authors: Matsuura Yuma , Fuse Shinichiro
Published: April 2024

Various 2,5-disubstituted furans were synthesized via 5-substituted 2-halomethylfurans using microflow technology.
Formulating compatible non-flammable electrolyte for lithium-ion batteries with ethoxy (pentafluoro) cyclotriphosphazene
Authors: Liu Yutao , Lu Jiazheng , Gong Xuanlin , Liu Jingju , Chen Baohui , Wu Chuanping , Fang Zhen
Published: April 2024

Non-flammable electrolyte with superior cathode/anode compatibility is enabled with ethoxy (pentafluoro) cyclotriphosphazene additive.
A sequential lumped kinetic modelling approach for the co-pyrolysis of plastic mixtures with a heavy refinery intermediate product in a tubular reactor
Authors: Lorbach Sebastian-Mark , Lechleitner Andreas E. , Schubert Teresa , Lehner Markus
Published: April 2024

A novel sequential approach for the lumped kinetic modelling of a plastic pyrolysis process in a tubular reactor.
Surface charge density and induced currents by self-charging sliding drops
Authors: Bista Pravash , Ratschow Aaron D. , Stetten Amy Z. , Butt Hans-Jürgen , Weber Stefan A.L.
Published: April 2024

Sliding drops induce a bipolar current in subsurface electrodes beneath a hydrophobic substrate. We show how it depends on substrate properties and how it can be optimized for energy harvesting.
3D printing of customized bioceramics for promoting bone tissue regeneration by regulating sympathetic nerve behavior
Authors: Su Zixuan , Guo Chuan , Gui Xingyu , Wu Lina , Zhang Boqing , Qin Yuxiang , Tan Zhen , Zhou Changchun , Wei Wei , Fan Yujiang , Zhang Xingdong
Published: April 2024

Numerous studies have shown that there are multiple neural activities involved in the process of bone regeneration, and promoting osteogenesis by promoting neural network reconstruction is an effective strategy for repairing bone defects.
Introducing zinc ions into manganese-based Prussian blue for improving the structural stability of sodium-ion batteries
Authors: Cheng Hongyu , Qin Yinping , Liu Yi-Nuo , Yu Zhuo-Er , Li Ruyi , Chen Riming , Zhou Jingjing , Liu Yang , Guo Bingkun
Published: April 2024

The introduction of non-electrochemically active metal ions stabilizes the lattice channels of manganese-based Prussian blue.
Modeling and optimization of networked evolutionary game based on incomplete information with switched topologies
Authors: Gui Yalin , Gao Lixin , Li Zhitao
Published: April 2024

In the realm of evolutionary game theory, the majority of scenarios involve players with incomplete knowledge, specially regarding their opponents' actions and payoffs compounded by the ever‐shifting landscape of players' interactions. These dynamics present formidable challenges in both the analysis and optimization of game evolution. To address this, a novel model named the networked evolutionary game (NEG) is proposed based on incomplete information with switched topologies. This model captures situations where players possess limited insight into their opponents' benefits, yet make decisions based on their own payoffs while adapting to different networks and new players. To bridge the gap between incomplete and complete information games, R. Selten's transformation method is leveraged, a renowned approach that converts an incomplete information game into an interim agent game, thereby establishing the equivalence of pure Nash equilibria (NE) in both scenarios. Employing the semi‐tensor product (STP) of matrices, a powerful tool in logistic system, the evolution of the model is articulated through algebraic relationships. This enables to unravel the patterns of game evolution and identify the corresponding pure Nash equilibria. By introducing control players, strategically positioned within the game, optimized control is facilitated over the evolutionary trajectory, ultimately leading to convergence towards an optimal outcome. Finally, these concepts are illustrated with a practical example within the paper.
Modified interactive multiple model particle filter for terrain referenced navigation with classification error minimisation strategy
Authors: Han Kyung Jun , Park Chan Gook
Published: April 2024

The authors propose an innovative solution to address challenges in terrain‐referenced navigation (TRN). The suggested solution is the interactive multiple‐model particle filter with a classification error minimisation strategy (IMM‐CPF) based on decision theory. TRN is a technique that estimates position by comparing measured terrain altitude to the digital elevation model and critically depends on obtaining accurate altitude measurements. However, these measurements can be easily contaminated to not only from sensor errors but also from vegetation effects. The TRN measurement noise model is characterised as a multi‐modal density, and it reveals an overlap between two density functions, with the mixture weight parameter varying based on surface environmental conditions. This variability can potentially degrade estimation accuracy. The proposed approach integrates truncated likelihoods into the mode estimation process to enhance mode estimation capability using a classification error minimisation strategy. The proposed strategy is based on decision theory and has been modified to be suited in the IMMPF form. The effectiveness of the proposed IMM‐CPF method is verified through simulations conducted under diverse surface conditions, demonstrating significant improvements in estimation accuracy compared to conventional algorithms. Furthermore, the significance of this method is presented in terms of computational cost and robustness.
Polymer Matrix Nanocomposites for Sustainable Packaging: A Green Approach
Authors: Vafaeva Khristina Maksudovna , Chhetri Abhishek , Sudan Prerak , Mishra Mukul , Pakkiraiah B. , Mohan Chandra
Published: April 2024

This research examines the characteristics and ecological viability of polymer matrix nanocomposites used in sustainable packaging. Nanocomposites were produced by combining varied proportions of polymer and nanofiller material. Through mechanical testing, it was determined that nanocomposite formulation 3 had the maximum tensile strength of 55 MPa, as well as a Young’s modulus of 3.5 GPa, showing greater stiffness in comparison to the other formulations. The evaluation of barrier qualities revealed that nanocomposite formulation 2 exhibited the most minimal oxygen permeability at a rate of 8 cc/m²/day and the lowest water vapor transmission rate at 4.5 g/m²/day, showing very efficient performance in preventing the passage of gases and moisture. The environmental impact study showed that nanocomposite formulation 3 had the most efficient energy consumption during manufacture, with a rate of 1.8 kWh/kg. It also had the lowest waste creation, with just 0.08 kg/kg, and the lowest CO2 emissions, with only 0.4 kg/kg. Nanocomposite formulation 3 demonstrated substantial improvements in mechanical characteristics, barrier properties, and environmental impact indicators when compared to the reference formulations, as shown by the percentage change analysis. In summary, this study showcases the capabilities of polymer matrix nanocomposites, specifically formulation 3, as environmentally friendly packaging materials that offer improved mechanical properties, effective barrier performance, and reduced ecological footprint. These findings contribute to the development of sustainable packaging solutions across different industries.
Parametric Analysis of a Radiant Gas Heating System for Controlled-Environment Agriculture with Preheated Ventilation
Authors: Karpov Denis Fedorovich , Vafaeva Khristina Maksudovna , Pavlov Mikhail Vasilyevich , Dixit Saurav , Ravikanth P. , Nautiyal Rishi Dev , Punia Ankit , Madan Praney
Published: April 2024

This article explores the fundamental principles of the software method for calculating the gas-fired heating system of a cultivation structure, where the main source of heat is provided by ceiling-mounted gas infrared radiators. To maintain the required thermal regime within the premises, a gas air heater is utilized, designed to preheat the outdoor air to the necessary temperature before supplying it to the heated space.The calculation method is based on solving a system of interconnected equations of thermal and material balances for the cultivation structure, its enclosure, and the soil surface. Possible utilization of thermal energy from high-potential combustion products of gaseous fuel is taken into account.Using the example of the “Farmer 7.5” industrial greenhouse (Russian Federation), designed for year-round cultivation of plants in closed soil (in this case, cucumbers were the subject of study until the fruitbearing stage in the winter-spring cycle), the impacts of various factors are investigated: outside air temperature, thermal resistance of the enclosing structure on the heating system’s thermal power (in combination with the gas air heater), and variable parameters of the microclimate. The latter includes the enclosure temperature of the industrial greenhouse and the intake air temperature for general exchange ventilation needs. Specific conclusions and prospects for further scientific research are drawn based on the obtained results.
Enhancing Mechanical and Thermal Properties of Polymer Matrix Nanocomposites through Tailored Nanomaterial Architectures
Authors: Ingole Sunil B. , Sharma Prashant , Verma Rajan , Chowdhury Sohini , Patil Pravin P. , Dwivedi Shashi Prakash , Khan Akhilesh Kumar
Published: April 2024

This research explores the custom-made design of nanomaterial designs to improve the mechanical and thermal properties of polypropylene (PP) framework nanocomposites. Functionalized multiwalled carbon nanotubes (f-MWCNTs) and polyvinylpyrrolidone-modified nano-silica (PVP-SiO2) were deliberately consolidated into the PP matrix, illustrating improved scattering and interaction at the atomic level. Morphological examination uncovered a uniform dissemination of nanofillers, driving to upgrade mechanical properties. Tensile tests illustrated a dynamic increment in Young’s Modulus and Tensile Strength with higher concentrations of nanofillers, especially in definitions NC3 and NC4. Thermal analysis, counting differential checking calorimetry (DSC) and thermogravimetric analysis (TGA), demonstrated hoisted glass move temperatures and upgraded warm solidness. Comparative execution with related works highlighted the special commitments of this ponder, emphasizing green activities, sustainability, and progressions in multifunctionality. The nanocomposites display promising results, with NC3 appearing with a Young’s Modulus of 2.5 GPa and Tensile Strength of 35 MPa, whereas NC4 accomplished a Young’s Modulus of 3.0 GPa and Tensile Quality of 40 MPa. These discoveries emphasize the potential of tailored nanomaterial models for creating high-performance and environmentally capable polymer network nanocomposites.
Investigating the Synergistic Effects of Hybrid Nanofillers in Polymer Matrix Nanocomposites for Superior Mechanical and Electrical Performance
Authors: Bhong Mahesh , Nirsanametla Yadaiah , Gudainiyan Jitendra , Kumar Rahul , Patil Pravin P. , Yadav Vijay Kumar , Sankhyan Akhil
Published: April 2024

This research examines the synergistic impacts of hybrid nanofillers, particularly silica nanoparticles (SiO2) and multi-walled carbon nanotubes (MWCNTs), in polyethene (PE) network nanocomposites. The nanocomposites are methodically arranged and characterized for predominant mechanical and electrical execution. Tensile tests uncover a significant upgrade in mechanical properties, with test C showing a tensile quality of 83.2 MPa, flexible modulus of 3.6 GPa, and stretching at a break of 11.8%. Electrical conductivity estimations demonstrate an outstanding change, with test C coming to 1.1×10 −4 S/m Comparative investigation with related works exhibits the competitive points of interest of the crossover nanocomposites, adjusting with later improvements within the field. Morphological examination through checking and transmission electron microscopy affirms the successful scattering and interconnectivity of cross-breed nanofillers inside the polymer network. Affectability examinations emphasize the significance of preparing parameters in fitting nanocomposite properties, whereas recreation studies give hypothetical bits of knowledge into microstructural angles impacting by and large execution. This study contributes to the advancing scene of hybrid nanocomposite materials, advertising a promising road for the improvement of progressed materials with improved multifunctionality.
Effect of Hydrogen Gas on Titanium Dioxide using Heterostructure H2-TiO2: An ab-initio Study
Authors: Prasad Tara , Prabhakar Budigi , Bhavani A. Geetha , Wani Tanveer Ahmad , Ahuja Ravi Shanker
Published: April 2024

High significant importance in energy and environmental research, its non-toxic and non-flammable character and relatively abundance and environmental friendly nature, Titanium Dioxide is an interesting Transition Metal Oxide. With its good corrosion resistance property it is also used as pigment in paint colours and in the coatings. A potential candidate for high-temperature gas sensing applications bleveraging its nanoparticles due to its notable excellent sensitivity and stability. It is also attractive due to its significance as photocatalysts in solar cells as a semiconductor material. In this ab-initio study, we designed a 2D H2-TiO2 heterostructure considering rutile and anatase based and observed comparative variation in diverse properties of Titanium Dioxide due to Hydrogen Gas. In this ab-initio study, we designed a 2D both rutile and anatase based H2-TiO2 hetrostructure and observed comparative variation in diverse properties of Titanium Dioxide due to Hydrogen Gas considering potential application in Hydrogen Fuel based engine and container where TiO2 is used. In this study we presented its predicted impact under high pressure inside the border exertion of DFT exhausting Quantum ESPRESSO software using High Performance Computing and comparatively investigated and discussed various related properties of the heterostructure.
Impact of Environmental Factors on Indoor Air Temperature in Gas-Fired Radiant Heated Cultivated Structures
Authors: Pavlov Mikhail Vasilyevich , Vafaeva Khristina Maksudovna , Karpov Denis Fedorovich , Dixit Saurav , Kumar Prashanth , Joshi Abhishek , Mishra Rahul , Brar Manvinder
Published: April 2024

Ensuring the required microclimate parameters of a cultivation structure, including indoor air temperature, relative humidity, and soil surface temperature, plays a crucial role in obtaining a rich harvest of vegetables and fruits in the winter season. Creating favourable conditions for growing plants in the protected ground is possible only by using modern, high-tech heating systems that will compensate for heat energy losses and maintain a set temperature regime in the room. Gas-fired radiant heating is one such system. This heating method, using ceiling gas infrared emitters as heat sources, directs the required heat flux directly to the soil surface. At the same time, direct or indirect emissions of harmful substances into the environment are minimal, and due to the absence of heat losses during heat production and heat carrier transportation, this type of heating is effective from both energy-saving and economic points of view. The article investigates the influence of meteorological, aerodynamic, heat engineering, and other factors on the air temperature in a cultivation structure under gas-fired radiant heating conditions using a developed software calculation method. An analysis is performed, and explanations are given for the nature of the change in indoor air temperature depending on the changing environmental conditions—the example of the industrial greenhouse “Farmer 7.5” (Russian Federation).
Analyzing Thermal Images to Evaluate Thermal Protection in Residential Structures: Lessons from Russian Practices
Authors: Vafaeva Khristina Maksudovna , Karpov Denis Fedorovich , Pavlov Mikhail Vasilyevich , Dixit Saurav , Rao Davu Srinivasa , Duklan Nitin , Thakur Rahul , Mishra Abhinav
Published: April 2024

Building thermography is a non-destructive and effective method for diagnosing the thermal insulation of buildings with various purposes. Regardless of the specifics of conducting thermographic surveys, the obtained thermal images (thermograms) can be analyzed both qualitatively and quantitatively. The first method of analyzing thermal images is implemented using specialized software typically provided with the thermal imaging camera. The second method is carried out based on the results of thermographic surveys following the methodologies regulated by the country’s normative documents. Using the example of thermographic inspection of enclosing structures in a multi-story residential building constructed from reinforced concrete panels, a qualitative assessment of thermal images was conducted to identify potential thermal defects. Thermal bridges were detected in the area of vertical joints of panel plates, and excessive heat losses were identified in the region where the heating device niche is located.Quantitative assessment of thermal images revealed that the thermal resistance in the temperature anomaly area is nearly twice as low as the thermal resistance in the baseline section of the thermogram. One of the variations for evaluating the error of indirect measurements of relative thermal resistance is presented, taking into account the range of measuring instruments used. Verification of the thermal resistance of the enclosing structure of the external wall of the residential building was conducted to ensure compliance with sanitary and hygienic requirements. According to the results of in-situ measurements, it was determined that the temperature on the inner surface of the enclosure was lower than the specified value.
Nanomaterials for Precision Diagnostics and Therapeutic Interventions in Modern Healthcare
Authors: Kumar Himanshu , Kumar Gaurav , Kumari Soni , Raturi Anuj , Saraswat Manish , Khan Akhilesh Kumar
Published: April 2024

The investigation on “Shrewd Nanomaterials for Precision Diagnostics and Therapeutic Interventions in Present day Healthcare” explores the blend, characterization, and applications of temperatureresponsive, pH-responsive, and light-responsive nanomaterials. Results uncover the fruitful amalgamation of well-defined nanomaterials with cruel molecule sizes of 50 nm, 80 nm, and 60 nm, separately. Characterization illustrates their homogeneity with moo polydispersity records (PDIs) of 0.15, 0.20, and 0.18. In vitro studies exhibit the responsiveness of these nanomaterials to shifting physiological conditions, demonstrating their potential for temperature-sensitive diagnostics and controlled medicate discharge. In vivo thinks about illustrates a remarkable focus on productivity, with tall collection in particular target tissues, approving their potential for precise medicate conveyance. Computational modelling provides insights into the dynamic interaction between nanomaterials and biomolecules, thus improving our knowledge on how these materials behave under complex physiological conditions. This work adds to the general scene of nano medicine scope with focus on the competence of keen nanomaterials for customized and targeted therapeutic confessants. Their findings underscore their critical role in the achievement of improved clinical accuracy, targeted effective responses, and reduced side effects. The union parameters, characterization information, and in vitro/in vivo outcomes collectively emphasize the innovative future of these nanomaterials in developing the future of precision pharmaceuticals.
Machine Learning for Anomaly Detection in Electric Transportation Networks
Authors: Usanova Kseniia Iurevna , Rani G. Sandhya , Mishra Neeti , Kaur Savinder , Sidhu Jaspreet
Published: April 2024

This study introduces a sophisticated anomaly detection system based on machine learning. The system is specifically developed to enhance the dependability and safeguard the security of electric transportation networks, with a particular emphasis on the charging infrastructure for electric vehicles (EVs). Utilizing extensive datasets, the research examines several facets of charging stations, charging records, identified abnormalities, and following maintenance measures. The examination of the charging station demonstrates the system’s versatility in accommodating many charging circumstances, as seen by the range of power ratings, consumption patterns, and energy provided. Further examination of charging records provides comprehensive understanding of individual charging sessions, enabling the detection of irregularities such as atypical energy surges and extended charging durations. The machine learning system, having been trained and verified using this data, has a commendable degree of precision in identifying anomalies, as shown by the congruence between anticipated abnormalities and real results. The maintenance and repair measures carried out in reaction to identified abnormalities highlight the practical ramifications of the system, with proactive tactics utilized to reduce downtime and enhance charging station operations. The performance measures, including accuracy, recall, and F1 score, unequivocally validate the resilience of the anomaly detection system, guaranteeing precise identification while mitigating the occurrence of false positives and negatives. The seamless incorporation of machine learning into electric transportation networks, as shown by the results, not only amplifies the dependability and safeguarding of EV charging infrastructure but also establishes the system as an invaluable instrument for practical implementations. The research, in addition to offering a thorough examination of the system’s performance, elucidates forthcoming avenues for scalability, real-time monitoring, and interpretability, thereby making a valuable contribution to the wider discussion on the revolutionary capabilities of machine learning in the ever-changing realm of electric transportation.
Model Establishment and Detailed Design of Prefabricated Construction Using GSRevit
Authors: Lin Yongjiao , Wang Fengxia , Jiang Rengui , Guo Peili , Cao Cheng , Yang Yan
Published: April 2024

At present, the construction industry is changing the traditional architectural design mode and construction method, in order to ensure the quality of the project, save resources and reduce costs while building green buildings, energy saving and emission reduction. As a result, assembly building is becoming the mainstream of the current development of the construction industry. This paper takes an assembly residential building as an object to conduct an example study, discusses the assembly building construction process and its difficulties, and the results are favorable to provide reference for assembly building construction and related construction difficulties.
Research on Scheme Selection of Rapid Low-floor Light Rail Vehicle
Authors: Wu Na , Qiang Feng
Published: April 2024

At present, there is no rail transit in China that can directly connect the main urban areas and satellite cities without passengers transferring halfway. In addition to the problem of passenger transfer, the construction of transfer stations presents a challenge to an already land-scarce city. In order to solve this problem, this paper introduces the status quo of rapid light rail technology in China and other countries, compares and analyzes the technical characteristics of rapid LRV, and finally puts forward suggestions on the selection of China’s rapid LRV scheme in the future.
Economic Principle Analysis of High-speed Railway Station Setting
Authors: Guo Litian , Fu Jianfei , Li Hongli , Song Ye
Published: April 2024

China’s construction of high-speed rail has accomplished outstanding achievements that have drawn attention from around the world and have played a significant role in driving economic and social development. To investigate the reasons behind the competition between neighboring cities in the region during the process of setting up a high-speed railroad station, the economic principles of high-speed railway construction and operation station setup and its role effect are analyzed using the theories of investment multiplier, spatial spillover, and pole-axis. This is intended to solve the mystery surrounding the competition for the station between neighboring regions and offer theoretical support for the science of high-speed railway station setup. The result of the study demonstrates that the construction and operation of high-speed railway has significant spatial spillover effects that effectively enhance local employment levels and promote the coordinated development of the regional economy along the routes, in addition to having multiplier effects on national income that cause the regional economy to grow exponentially.
Container Scheduling considering Customer Satisfaction in the Context of Internal Circulation
Authors: Wang Xiangyue
Published: April 2024

As China’s foreign trade continues to progress, a trade surplus in inland container transportation has emerged. At the same time, businesses need to not only focus on transportation tasks but also prioritize customer service requirements. To address the issues of container supply shortages and inefficient empty container allocation, this article establishes a container truck scheduling model that includes multiple terminals and yards. With the objective of minimizing total costs and maximizing customer satisfaction during the allocation process, the model incorporates coupling constraints between vehicle flow and container flow. Instance verification using Cplex demonstrates that the proportions of different cost types and the range of expected time windows can impact the formulation of transportation plans and, consequently, total costs. Lastly, numerical experiments are conducted to analyze the cost variations and transportation plan preferences under different ranges of time windows and different weights assigned to transportation costs and fixed costs.
Study of a dual RIS-assisted beam assignment algorithm in a high-speed moving scenario
Authors: Yang Xinrui , Liu Hu , Chen Mengmeng , Qiao Wenlong
Published: April 2024

In order to improve the frequent Doppler bias in the high-speed mobile scenario, improve the communication quality on HSR (High-Speed Railway). An algorithm can improve communication performance through RIS (intelligent metasurface) phase optimization. The optimization process is modeled as a reinforcement learning task, where the agent in the channel learns to select the optimal RIS phase by interacting with the environment to reduce the effect of Doppler shift.The model covers characteristic parameters such as signal propagation path and frequency related to RIS, and the agent influences the beam direction by adjusting the phase, and learns the optimal phase configuration in the high-speed moving scene.The RIS phase optimization method implemented based on the deep reinforcement learning algorithm has high convergence and has significant advantages in improving the Doppler frequency shift problem. Compared with the traditional frequency bias estimation method, this method can significantly improve the transmission performance. The effectiveness of the proposed algorithm is verified by performing large-scale training and evaluation in the simulation environment.
Strong evidence for diffusion of point defects in GaInN/GaN quantum well structures
Authors: de Vasconcellos Lourenço R. , Horenburg P. , Farr P. , Bremers H. , Rossow U. , Hangleiter A.
Published: April 2024

The reduction of the defect density in quantum wells (QWs) is important to maximize the internal quantum efficiency. We investigate non-radiative recombination in GaInN/GaN single QWs (SQWs) grown on In-free and In-containing so-called underlayers (ULs). The non-radiative lifetime of SQWs increases with increasing UL thickness and decreases exponentially with increasing UL growth temperature. Moreover, the presence of low-temperature UL strongly increases the non-radiative lifetime of SQWs. As non-radiative recombination at threading dislocations is efficiently suppressed by means of V-pits, our results suggest that point defects diffuse from the high temperature buffer layer through the UL into the QW. The resulting point defect density in the QW is strongly influenced by the UL growth conditions.
Self-supervised learning of shedding droplet dynamics during steam condensation
Authors: Khodakarami Siavash , Kabirzadeh Pouya , Miljkovic Nenad
Published: April 2024

Knowledge of condensate shedding droplet dynamics provides important information for the characterization of two-phase heat and mass transfer phenomena. Detecting and segmenting the droplets during shedding requires considerable time and effort if performed manually. Here, we developed a self-supervised deep learning model for segmenting shedding droplets from a variety of dropwise and filmwise condensing surfaces. The model eliminates the need for image annotation by humans in the training step and, therefore, reduces labor significantly. The trained model achieved an average accuracy greater than 0.9 on a new unseen test dataset. After extracting the shedding droplet size and speed, we developed a data-driven model for shedding droplet dynamics based on condensation heat flux and surface properties such as wettability and tube diameter. Our results demonstrate that condensate droplet departure size is both heat flux and tube size dependent and follows different trends based on the condensation mode. The results of this work provide an annotation-free methodology for falling droplet segmentation as well as a statistical understanding of droplet dynamics during condensation.
Absolute density measurement of hydrogen radicals in XUV induced plasma for tin contamination cleaning via laser-induced fluorescence
Authors: Tanaka Nozomi , Zhu Baojun , Liu Chang , Wang Yubo , Nishihara Katsunobu , Hernandez James Edward , Johzaki Tomoyuki , Sunahara Atsushi , Kang Kyung Sik , Ueyama Shinji , Ozawa Ken , Fujioka Shinsuke
Published: April 2024

Effective cleaning of tin contamination on the collecting mirrors in extreme ultraviolet source is one of the key techniques to improve throughput and cost performance of extreme ultraviolet lithography. Hydrogen radicals produced in hydrogen plasma that is induced by wideband extreme ultraviolet radiation are expected to be utilized for in situ tin contamination cleaning in extreme ultraviolet sources. In this Letter, we clarified absolute density and cleaning ability of the hydrogen radicals produced by intense extreme ultraviolet pulse through ground state population density measurement by laser-induced fluorescence technique. The experimentally obtained radical parameters coincided well with simulation results and collisional radiative model. It was found that the extreme ultraviolet induced plasma was in quasi-steady state with abundant amount of hydrogen radicals in ground state. Further, it was found that the in situ tin contamination cleaning in extreme ultraviolet lithography source would become more practical with increase in operational parameters, such as extreme ultraviolet emission intensity, gas pressure, and radical production cross section.
THz spectroscopy on the amino acids L-serine and L-cysteine
Authors: Emmert Sebastian , Lunkenheimer Peter , Loidl Alois
Published: April 2024

We present a detailed study on the temperature-dependent THz spectra of the polycrystalline amino acids, L-serine and L-cysteine, for wavenumbers from 20 to 120 cm−1 and temperatures from 4 to 300 K. Even though the structure of these two amino acids is very similar, with a sulfur atom in the side chain of cysteine instead of an oxygen atom in serine, the excitation spectra are drastically different. Obviously, the vibrational dynamics strongly depend on the ability of cysteine to form sulfur–hydrogen bonds. In addition, cysteine undergoes an order–disorder type phase transition close to 80 K, documented by additional specific heat experiments, with accompanying anomalies in the THz results. On increasing temperatures, well-defined vibrational excitations exhibit significant shifts in the eigenfrequencies with concomitant line-broadening yielding partly overlapping modes. Interestingly, several modes completely lose all their dipolar strength and are unobservable under ambient conditions. Comparing the recent results to the published work utilizing THz, Raman, and neutron-scattering techniques, as well as with ab initio simulations, we aim at a consistent analysis of the results ascribing certain eigenfrequencies to distinct collective lattice modes. We document that THz spectra can be used to fine-tune the parameters of model calculations and as fingerprint properties of certain amino acids. In addition, we analyzed the low-temperature heat capacity of both the compounds and detected strong excess contributions compared to the canonical Debye behavior of crystalline solids, indicating soft excitations and a strongly enhanced phonon-density of states at low frequencies.
Partition of plastic work into heat and stored cold work in CoCrNi-based chemically complex alloys
Authors: Qiao Xin , Cao Fuhua , Su Mingyao , Yang Cheng , Li Tong , Ding Gan , Tan Yuanyuan , Chen Yan , Wang Haiying , Jiang Minqiang , Dai Lanhong
Published: April 2024

The Taylor–Quinney coefficient (TQC) stands as a critical parameter intricately linked to the thermomechanical coupling plastic deformation behavior, defined as the ratio of heat generation to plastic work. Combining experimental studies and atomistic simulations, the TQC is discussed in the context of three CoCrNi-based chemically complex medium/high-entropy alloys (CoCrNi, CoCrNiFe, and CoCrNiFeMn). Notably, the obtained TQC of these alloys hovers around 0.7, well below the generally assumed value of 0.9–1 in traditional metals associated with adiabatic shearing. The lower TQC implies that these alloys possess the much better capability of storing energy of cold-work. It is further found that immobile dislocations are the most effective carriers for storing the energy of cold-work. Among these three alloys, CoCrNiFeMn exhibits the highest TQC due to its relatively lower density of immobile dislocations and Lomer–Cottrell locks.
Research on the motion characteristics of the opening process of double joint folding wings
Authors: Lv Tiegang , Zhang Xiaowen , Junfu Qiao
Published: April 2024

The folding wing mechanism is a system developed for the miniaturization of missile wings to facilitate box (cylinder) storage, transportation, and launching, saving the storage and transportation space of the missile and improving the combat capability of the weapon system. In order to solve the stability problem of the dynamic opening process of wings during missile flight, a theoretical model of a double joint folding wing is proposed. Based on dynamic theory, this paper studies the dynamic process of the folding wing system undergoing rotational opening motion under different initial forces. The influence of the initial angular velocity required for folding wing deployment on the deployment process is analyzed through structural model simulation. Finally, the effect of the folding wing opening action on the flight motion of the full missile is studied, and the dynamic opening process of the folding wing system is simulated by physical experiments. The research results show that the opening motion of the folding wing is sensitive to the initial conditions; during the deformation process, a change in motion type was observed, and the aeroelastic response at certain folding angles may exhibit different motion types. The main impact on the flight motion of the full missile is the change in the aerodynamic force of the missile.
Multiple-time scale integration method based on an interpolated potential energy surface for ab initio path integral molecular dynamics
Authors: Zheng Jingjing , Frisch Michael J.
Published: April 2024

A new multiple-time scale integration method is presented that propagates ab initio path integral molecular dynamics (PIMD). This method uses a large time step to generate an approximate geometrical configuration whose energy and gradient are evaluated at the level of an ab initio method, and then, a more precise integration scheme, e.g., the Bulirsch–Stoer method or velocity Verlet integration with a smaller time step, is used to integrate from the previous step using the computationally efficient interpolated potential energy surface constructed from two consecutive points. This method makes the integration of PIMD more efficient and accurate compared with the velocity Verlet integration. A Nosé–Hoover chain thermostat combined with this new multiple-time scale method has good energy conservation even with a large time step, which is usually challenging in velocity Verlet integration for PIMD due to the very small chain mass when a large number of beads are used. The new method is used to calculate infrared spectra and free energy profiles to demonstrate its accuracy and capabilities.
Dynamical and statistical features of soliton interactions in the focusing Gardner equation
Authors: Zhang Xue-Feng , Xu Tao , Li Min , Zhu Xiao-Zhang
Published: April 2024

In this paper, the dynamical properties of soliton interactions in the focusing Gardner equation are analyzed by the conventional two-soliton solution and its degenerate cases. Using the asymptotic expressions of interacting solitons, it is shown that the soliton polarities depend on the signs of phase parameters, and that the degenerate solitons in the mixed and rational forms have variable velocities with the time dependence of attenuation. By means of extreme value analysis, the interaction points in different interaction scenarios are presented with exact determination of positions and occurrence times of high transient waves generated in the bipolar soliton interactions. Next, with all types of two-soliton interaction scenarios considered, the interactions of two solitons with different polarities are quantitatively shown to have a greater contribution to the skewness and kurtosis than those with the same polarity. Specifically, the ratios of spectral parameters (or soliton amplitudes) are determined when the bipolar soliton interactions have the strongest effects on the skewness and kurtosis. In addition, numerical simulations are conducted to examine the properties of multi-soliton interactions and their influence on higher statistical moments, especially confirming the emergence of the soliton interactions described by the mixed and rational solutions in a denser soliton ensemble.
Fractal networks: Topology, dimension, and complexity
Authors: Bunimovich L. , Skums P.
Published: April 2024

Over the past two decades, the study of self-similarity and fractality in discrete structures, particularly complex networks, has gained momentum. This surge of interest is fueled by the theoretical developments within the theory of complex networks and the practical demands of real-world applications. Nonetheless, translating the principles of fractal geometry from the domain of general topology, dealing with continuous or infinite objects, to finite structures in a mathematically rigorous way poses a formidable challenge. In this paper, we overview such a theory that allows to identify and analyze fractal networks through the innate methodologies of graph theory and combinatorics. It establishes the direct graph-theoretical analogs of topological (Lebesgue) and fractal (Hausdorff) dimensions in a way that naturally links them to combinatorial parameters that have been studied within the realm of graph theory for decades. This allows to demonstrate that the self-similarity in networks is defined by the patterns of intersection among densely connected network communities. Moreover, the theory bridges discrete and continuous definitions by demonstrating how the combinatorial characterization of Lebesgue dimension via graph representation by its subsets (subgraphs/communities) extends to general topological spaces. Using this framework, we rigorously define fractal networks and connect their properties with established combinatorial concepts, such as graph colorings and descriptive complexity. The theoretical framework surveyed here sets a foundation for applications to real-life networks and future studies of fractal characteristics of complex networks using combinatorial methods and algorithms.