bluuebunny/crossref_metadata_2025_split huggingface dataset:
There’s (not) an App for that: situating smartphones, Excel and the techno-political interfaces and infrastructures of digital solutions for COVID-19
Authors: Heemsbergen Luke , Bennett Catherine , Mann Monique 
Published: February 2025

Abstract
This paper focuses on the operational-infrastructural puzzles of mHealth via COVID-19 Contact Tracing Apps (CTA). Significant literature exists on user adoption of the platformisation of public health during the pandemic, but there has been limited consideration of how those responsible for implementing CTA design, deployment, and use of public health infrastructures did so. We redress this imbalance by exploring some of the politics and practicalities of offering CTA as technical ‘solutions’ to pandemic problems. Our work adds to previous comparative analyses of mHealth by drawing on data from key actors across government, industry, and civil society involved in designing and implementing CTA into public health across 5 jurisdictions: Australia, Canada, New Zealand, Singapore, and the United Kingdom. While CTA research often frames tensions around efficacy and adoption (e.g. privacy trade-off), we find hidden infrastructural tensions within a situation of political and technical constraints in the ‘back end’ of the platformisation of public health. The paper offers new insights to pandemic politics by shifting questions from digital contact tracing and pandemic surveillance interfaces to understanding CTA as infrastructures of public health. While CTA user-software interactions produce certain research questions, querying the infrastructural complexity of digital public health projects require and produce a different set of data and knowledge.
A high bandwidth and high transmission STM bias line for ESR and quantum stochastic resonance measurements at 0.4 K
Authors: Schwenk Johannes , Soulard Clément M. , Shan Shixuan , Patthey François , Brune Harald 
Published: February 2025

We present a scanning tunneling microscope operating in a 3He cryostat at a base temperature of 0.4 K, suitable for electron spin resonance (ESR) [S. Baumann, W. Paul, T. Choi, C. P. Lutz, A. Ardavan, and A. J. Heinrich, Science 350, 417 (2015)], quantum stochastic resonance (QSR) [M. Hänze, G. McMurtrie, S. Baumann, L. Malavolti, S. N. Coppersmith, and S. Loth, Sci. Adv. 7, eabg2616 (2021)], and electric pump–probe experiments. We achieve excellent signal transmission of −2 to −3 dB between 100 kHz and 100 MHz, −23 dB at 10 GHz, −35 to −40 dB between 25 and 35 GHz, and −45 dB at 40 GHz, using a combination of normal conducting and superconducting semi-rigid, as well as flexible RF cables. SMK type 2.92 mm and mini-SMP connectors are used to minimize reflections and losses over the entire frequency range. The ESR capability of our instrument is demonstrated on possibly hydrogenated titanium atoms adsorbed on two and three monolayers of MgO on Ag(100) at 0.4 and at 4.2 K. We further show QSR measurements for Fe/MgO/Ag(100) and compare the driven relaxation time with the intrinsic energy relaxation time T1 reported for that system [W. Paul, K. Yang, S. Baumann, N. Romming, T. Choi, C. P. Lutz, and A. J. Heinrich, Nat. Phys. 13, 403 (2017)] as a function of magnetic field and tunnel current.
A Ku-band phase-locked coaxial relativistic Cherenkov generator with low guiding magnetic field
Authors: Li Ying , Ju Jinchuan , Shu Ting , Zhang Wei , Zhou Yunxiao , Yao Hongtao 
Published: February 2025

A Ku-band phase-locked coaxial relativistic Cherenkov generator with a low guiding magnetic field is presented. Owing to the use of the combined periodic double-corrugation slow-wave structure, the quasi-TEM mode exhibits a strong axial electric field at the center of the beam tunnel. As a result, the electron beam can achieve effective beam–wave interaction without proximity to the SWS surfaces, allowing the electron beam with a larger envelope and, therefore, reducing the demand for strong guiding magnetic fields. Two single-gap cascaded pre-modulation cavities are used to reduce the demand for the injected signal and to improve the power ratio of the output microwave to the input signal. Particle-in-cell simulation results show that, under a guiding magnetic field of 0.65 T, an injected signal with a power of 5 kW can lock the frequency and phase of a 966 MW output microwave, where the bandwidth is about 60 MHz and the phase instability is within ±2°. In addition, the efficiency is about 40%, and the power ratio of the output microwave to the input signal is ∼53 dB.
Mixed methods research in L2 pragmatics
Authors: Youn Soo Jung 
Published: February 2025

Abstract
In this article, I discuss current research issues and practices in second language (L2) pragmatics research, focusing on how mixed methods are applied in the existing literature. The paper begins by introducing fundamental principles and three core mixed methods approaches, in each case synthesizing unique characteristics in terms of the integration of qualitative and quantitative methods and data interpretation. A critical review of different mixed methods approaches intends to help readers understand the strengths and weaknesses of each approach and make a principled decision. I then provide an overview of the recent trend in applying mixed methods in L2 pragmatics research, examining research purposes and the type of mixed methods designs utilized. I also offer an in-depth discussion of exemplary L2 pragmatics research that employed mixed methods focusing on underlying rationales for using the mixed methods and ways to achieve high degrees of integration at various stages of the study. The paper concludes with challenges in applying mixed methods and suggestions on how to advance the current practice of mixed methods in L2 pragmatics in future research.
“Why we are voting Biden-Harris”
Authors: Cabrejas-Peñuelas Ana Belén 
Published: February 2025

Abstract
The present study explores how text-image cohesion is achieved in a dataset of thirty-seven political ads in the
playlist “Why we are voting Biden-Harris,” which is part of the 2020 Biden for President Campaign. A further objective is to
analyze how multimodal cohesion contributes to persuasion in political campaign ads. Using methods from Systemic Functional
Linguistics (Halliday and Hasan 1976) and multimodal views of cohesion (Tseng 2013; Bateman 2014), both quantitative
and qualitative results are obtained. The quantitative results reveal that most cohesive types are of the lexical type, followed
by referential, conjunction, ellipsis, and substitution. Also, the visual and verbal chains outnumber the audio chains and, thus,
they are responsible for cohesion in the ads. The qualitative results show that multimodal cohesion is a powerful tool for
supporting persuasion in political campaigns by appealing to emotions, a hypothetical future, rationality, voices of expertise,
and altruism (Reyes 2011).
The status and unique characteristics of wetlands
Authors: Geze Wudu , Desta Takele Taye 
Published: February 2025

Abstract

Wetlands take various forms; accordingly, they may include artificial or natural water, permanent or temporary water, fresh, brackish, or salt water that is static or flowing, including seawater that is not deeper than 6 meters at low tide. We reviewed the status and unique attributes of wetlands. Wetland characteristics can differ spatially and temporally depending on climatical and topographical conditions. Wetlands are categorized based on species richness, water depth (deep or shallow), precipitation, pH, the concentration of dissolved oxygen, temporal and spatial variation, size (small, medium, or large), location, slope, and substrate composition. In developing countries like Ethiopia, the status of wetlands is poorly documented. Nevertheless, wetlands deliver various ecological and socio-economic services. There are three levels of lakes and wetlands in the global lakes and wetlands database. Level 1 (GLWD-1) wetland includes 3067 largest lakes with an area of ≥ 50 km
2
and 654 largest reservoirs with a storage capacity of ≥ 0.5 km
3
. Level 2 (GLWD-2) consists of permanent open water bodies having a surface area of at least 0.1 km
2
. Level 3 (GLWD-3) includes lakes, reservoirs, rivers, and various forms of wetlands. The public relies on wetlands, yet no attempts have been made to conserve or acknowledge their use values. Wetlands have degraded locally and globally because they have been converted to various land use types. For example, since the 1700s, almost 87% of the world’s wetlands have disappeared. Both natural and man-made factors contribute to the startling rate of wetland loss. Wetland loss and degradation result in the loss of biodiversity and ecosystem services they are providing. Thus, wetland preservation must be in the lead when dealing with ecosystem restoration.
Zinc ferrite nanoparticles as electrode material for supercapacitors
Authors: Pradhan Kousik , Singh Umisha , Shukla Shobha , Duttagupta Siddhartha P , Saxena Sumit 
Published: February 2025

Abstract
In the realm of sustainable and renewable nanotechnology, supercapacitors have appeared as the dominant solution for energy conversion and storage. Ferrites while being widely explored in magnetic, electronic and microwave devices, are now being explored for applications in energy storage devices due to possibilities of achieving fast and reversible surface Faradic reactions. In this perspective, a simple and inexpensive chemical co-precipitation method was used to synthesize ultra small ZnFe2O4 nanoparticles (NP). The ZnFe2O4 NP as electrode material show gravimetric capacitance of 186.6 Fg−1 at current density of 1 Ag−1 in 1M H2SO4. Furthermore, the ZnFe2O4 NP based electrode show exceptional capacitive retention of 98% over 1000 cycles at a current density of 3 Ag−1. An asymmetric ZnFe2O4 NP//NiO NP device was fabricated, which achieved a power density of 302.3 WKg−1 at current density of 1.5 Ag−1 and energy density of 14.85 WhKg−1. After 1500 cycles, the device demonstrated capacity retention of 99.4% at 1.5 Ag−1 in the long-term stability testing with 100% efficiency. Our study suggests that ZnFe2O4 NP are promising as a material for future energy storage applications.
Alternated two-particle discrete-time quantum walk on arbitrary graphs and its application on graph isomorphism testing
Authors: Li Panlong , Li Dan , Zhou Yuqian , Duan Bojia , Yang Yuguang 
Published: February 2025

Abstract
This paper introduces a novel alternated two-particle discrete-time quantum walk model on arbitrary graphs, overcoming the limitation that conventional shared coin schemes are confined to regular graphs. By employing a fixed-dimension coin operator and encoding the graph structural information into the shift operator, the new model becomes applicable to arbitrary graphs. Further, by adding interaction between the two particles, an extension is presented, which can enhance the model’s dynamic properties and facilitate more intricate quantum interference phenomena. Based on the new model, a kind of quantum graph isomorphism algorithm framework is proposed. It just need O(N
0.5*∣E∣) steps of quantum walk and O(N
2) dimensions of Hilbert space, which offers a significant reduction in complexity compared to other quantum walk based algorithms. The graph isomorphism testing is performed in the framework using non-interacting and interacting quantum walks respectively. Experimental results illustrate that the algorithm based on interacting particles achieves a 100% success rate in discriminating all test graphs. While the algorithm with non-interacting particles performs a 100% distinction success rate on general non-regular graphs, albeit being ineffective on strongly regular graphs. Due to the effectiveness of the algorithm on arbitrary graphs, the algorithm has broad application prospects in the identification and comparison of chemical molecular structures, the analysis of social networks and so on.
Hybrid Artificial Neural Network-Particle Swarm Optimization approach to investigate the Blood Flow through an Artery affected by Aneurysm
Authors: Chand Madhusmita , Tripathi Rajat 
Published: February 2025

Abstract
Weakening of the arterial wall leads to the formation of a sac-like structure called an aneurysm. Shear stress at the arterial walls can contribute to bulge initiation, growth, expansive arterial remodelling, and an increased risk of bulge rupture. This study aims to explore the variations in wall shear stress (WSS) and entropy generation in the context of irreversible blood flow through an artery affected by an aneurysm under magnetohydrodynamic conditions utilizing machine learning techniques. The Casson fluid model is employed to depict the non-Newtonian behaviour of blood. A model describing the above-considered blood flow problem with mild aneurysms is developed, and the obtained partial differential equations, along with the suitable conditions, have been numerically treated using an explicit finite difference scheme. In this study, it has been observed that an intensified heart pulse frequency results in lower wall shear stress on the aneurysm-affected arterial wall, while the wall shear stress is significantly reduced on the outer layer of the arterial wall affected by an aneurysm. Entropy generation and WSS are optimized using a machine learning approach, employing the Particle Swarm Optimization (PSO) algorithm along with an Artificial Neural Network (ANN). The network is trained using the Levenberg–Marquardt training procedure. Through the application of this machine learning approach, specific values for the Hartmann number, dimensionless temperature difference, heart pulse frequency, and amplitude of the pulsatile component of pressure gradient have been identified to achieve the minimum entropy generation.
First direction sensitive search for dark matter with a nuclear emulsion detector at a surface site
Authors: Umemoto A. , Naka T. , Shiraishi T. , Sato O. , Asada T. , De Lellis G. , Kobayashi R. , Alexandrov A. , Tioukov V. , D'Ambrosio N. , Rosa G. 
Published: February 2025

Abstract
Fine-grained nuclear emulsion films have been developed as a tracking detector with nanometric spatial resolution to be used in direction-sensitive dark matter searches, thanks to novel readout technologies capable of exploiting this unprecedented resolution. Emulsion detectors are time insensitive. Therefore, a directional dark matter search with such detector requires the use of an equatorial telescope to absorb the Earth rotation effect. We have conducted for the first time a directional dark matter search in an unshielded location, at the sea level, by keeping an emulsion detector exposed for 39 days on an equatorial telescope mount. The observed angular distribution of the data collected during an exposure equivalent to 0.59 g days agrees with the background model and an exclusion plot was then derived in the dark matter mass and cross-section plane: cross-sections higher than 9.2 × 10-29 cm2 and 1.2 × 10-31 cm2 were excluded for a dark matter mass of 10 GeV/c
2 and 100 GeV/c
2, respectively.
This is the first direction sensitive search for dark matter with a solid-state, particle tracking detector.
Experimental study on the damage characteristics of sol-gel antireflection coatings on large-aperture optical components by in-situ plasma cleaning
Authors: Shen Rongqi , Li Yuhai , Wang Zixu , Sun Laixi , Yuan Xiaodong , Dong Xiang , Xiang Xia , Li Bo , Liu Xujie , Xu Xueshi , Wang Tingting , Bai Qingshun 
Published: February 2025

Abstract
Low-pressure plasma cleaning technology is currently regarded as a highly promising method for the effective in-situ removal of surface contaminants from large-aperture optical components (LAOC) (⩾430 mm) in laser fusion facilities. After a long cleaning, irreversible damage can occur to the sol-gel antireflective (AR) coatings on the surface of the LAOCs. Hence, a study was conducted to analyze the surface damage characteristics of low-pressure plasma cleaning on optical components and implement in-situ plasma cleaning techniques in the laser fusion facility. Initially, the impact of organic contaminant levels on the performance of optical components was assessed by experiments. Subsequently, the correlation between plasma cleaning duration, transmittance, wavelength peak, and laser-induced damage threshold of sol-gel antireflection coating on the LAOCs was examined. Experimental findings from plasma cleaning trials revealed that prolonged plasma exposure had a cumulative detrimental influence on coating thickness and optical performance, gradually increasing surface pores. Ultimately, investigating the surface damage mechanism of sol-gel AR coatings during low-pressure plasma cleaning establishes a groundwork for achieving non-destructive in-situ cleaning of LAOCs in laser fusion facilities.
Analysis of the Cryogenic Structure of the Concentric HTS Cable Joint
Authors: Hu Liguang , Cheng Jian , Chen Tengbiao , Chen Cheng , Cheng Qi , Chen Chunlong , Wang Bangzhu 
Published: February 2025

Abstract
Due to merits of low loss, large capacity and compactness, concentric high-temperature superconducting (HTS) cable has become an ideal solution for the large-capacity power transmission in a narrow path. As the three phases in the concentric HTS cable are wounded one by one in the same former, the non-superconducting joints are concentrated in a short range. The same cooling method as the normal section will cause the local temperature to rise and subject to hot spot risks. This paper conducts a study on the cryogenic cooling structure design of the joint of the concentric HTS cable. The heat generation mechanism is analysed. Based on the heat transfer enhancement method and computational fluid dynamic (CFD) simulation, the optimal cryogenic structure is proposed. The results are of significance to the safe and stable operation of the joint in the engineering application of the concentric HTS power transmission.
Study on the Preparation Process Optimization and Adsorption Characteristics of Metallic Oxide Composite Modified Quartz Sand
Authors: Li Guohao 
Published: February 2025

Abstract
The conventional water treatment process is difficult to remove micropollutants. Meanwhile, filtration is the last barrier to this process. One of the important factors of the influence of effluent quality is adsorption and interception on the surface of the filter. The metallic oxide composite modified quartz sand (MCMS) is prepared with raw quartz sands (RQS) as the surface modification material, FeCl3, AlCl3, and ethanol solution of TiCl4 as the modifiers. Test results are as follows: (1) The preparation method is obtained. (2) The optimum preparation conditions are obtained by the method of SEM and EDS detection. (3) The surface characteristic of MCMS had been observed as a little ball shape. The composition of the surface metallic oxide is analyzed which consists of Fe2O3, TiO2, Al2O3, SiO2, and FeO(OH) or AlO(OH). (4) The specific surface area of MCMS is 39.10 times as RQS and 3.38 times as IOCS. The combination of metallic oxide which produces a large number of hydroxyl isα-Fe2O3, AlO(OH), and Anatase TiO2 by the detection of phase identification from XRD. Organic matter removal of MCMS is 1.5 times as IOCS. (5) The average of HA removal of MCMS can reach to 91.56%. The adsorption characteristics of MCMS are both physical adsorption and chemical adsorption, meanwhile being based on chemical adsorption.
Progress in Separation Technology for Retired Photovoltaic Modules and Suggestions for Recycling
Authors: Li Yanfeng , Liu Zilin , Lin Dehai , Zhang Enfu , Liu Zhan , Dong Yang , Sheng Xiaoming , Li Zihan , Li Li , He Faquan 
Published: February 2025

Abstract
With the “double carbon” target and energy structure upgrading, the PV industry in China is increasing rapidly, and retired PV modules are becoming one of the key limiting factors for the green development of new energy. The recycling of PV modules is becoming more and more important, and module separation is the focus of research at home and abroad. Based on the investigation of domestic and foreign literature, the principle, research progress, and development potential of separation technology by mechanical method, pyrolysis method, and chemical method are analyzed, which provides reference and suggestion for the development of PV module recycling from the direction of green cycle.
Simulation Study on the Operational Performance of Continuous Mixers Based on the Discrete Element Method (DEM)
Authors: Xiao Yaomeng , Zhang Zhaoyun , Gao Zhongxiang , Zhang Daixiang , Ma Guanguo 
Published: February 2025

Abstract
This study aims to systematically analyze the effects of various operational parameters on the continuous mixing process of concrete using the Discrete Element Method (DEM) combined with a wet mixing model, with the objective of optimizing mixing uniformity and material flow to improve concrete mixing quality and efficiency in practical engineering applications. The results indicate that an appropriate water addition rate (e.g., 10 m/s) and a moderate moisture content (e.g., 2:9) can significantly enhance the uniformity of concrete mixing. Additionally, a moderate rotational speed (e.g., 200 rpm) achieved good mixing effects in a short time, avoiding issues such as oversaturation and uneven mixing. This study provides theoretical support and a data foundation for optimizing concrete mixing processes, contributing to improvements in mixing quality and efficiency in engineering practice.
Optimization on the Preparation Conditions of Fe-N/BC Catalyst and its Pollution Removal Efficiency
Authors: Zhou Ting , Yang Yang , Du Tianxing , Dong Wenyi , Wang Hongjie 
Published: February 2025

Abstract
This study was aimed to optimize the preparation conditions of Fe-N/BC catalyst. Citric acid iron and melamine was used to co-doped modified selected biomass, optimized factors included biomass type, acid washing time, iron-nitrogen doping amount and pyrolysis temperature, with nitrobenzene as the targeted degradation object. The optimal preparation conditions for Fe-N/BC iron-nitrogen co-doped biochar catalyst were determined. The results showed that using onion as the biomass, after 8 hours of acid washing, immersed in an ultrasonic solution of citric acid iron with a concentration of 8 g/L for 30 minutes, followed by adding melamine at a doping ratio of 5 g/g biomass and another 30 minutes of ultrasonication, centrifuged, water washed, and dried, then pyrolyzed at 900°C under N2 atmosphere for 1 hour. The obtained Fe-N/BC iron-nitrogen co-doped biochar catalyst exhibited the best removal efficiency for nitrobenzene in a catalytic reduction system, with a removal rate of 96.6% after 15 minutes of reaction.