bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural resource governance and strategic economic resources: The perspective of Indonesia Raya Incorporated
Authors: Trihatmoko Roderikus Agus , Susilo Yuvensius Sri 
Published: March 2024

AbstractThe study aims to identify and describe the theory of economic development according to the thinking of Indonesia Raya Incorporated (IRI) in managing the interest of natural resources included in strategic economic resources. This study used a qualitative method through a grounded theory approach with constructivism and criticism as the interpretation approach. The data collected through the Focus Group Discussion (FGD) technique was processed using a componential analysis approach. The study results reveal the content of the main variables of economic development, namely the role and function of the government and state enterprises, namely State-Owned Enterprises (SOEs) and Regional-Owned Enterprises (ROEs), related to the potential of managing natural resources and other strategic economic resources which are determinants of the economic strata of population or for improving the welfare of the people. These novel findings highlights the significance of natural resource governance and strategic economy, namely the IRI’s perspective on economic development. The theory and conception contribute to deepening knowledge previously proposed in IRI and Murakabi economics. So, this knowledge has implications for natural resources management practices by the government and corporate strategies within the body of SOEs and ROEs in Indonesia and the global world. This includes the possibility of strategies for national and multinational private companies whose main business positions are based on natural resources and strategic economics.
Investigating neighborhood adaptability using mobility networks: a case study of the COVID-19 pandemic
Authors: Boz Hasan Alp , Bahrami Mohsen , Balcisoy Selim , Bozkaya Burcin , Mazar Nina , Nichols Aaron , Pentland Alex 
Published: March 2024

AbstractWhat predicts a neighborhood’s adaptability to essential public health policies and shelter-in-place regulations that prevent the harmful spread of COVID-19? To answer this question, we present a novel application of human mobility patterns and human behavior in a network setting. We analyze 2 years of mobility data (January 2019 to December 2020) from New York City and construct weekly mobility networks between census block groups based on aggregated point-of-interest visit patterns. Our results indicate that neighborhoods’ socioeconomic and geographic characteristics play a significant role in predicting their adaptability to active shelter-in-place policies. Our simulation outcomes reveal that, alongside factors such as race, education, and income, the geographical attributes of neighborhoods, such as access to amenities that satisfy community needs are equally important factors in predicting neighborhood adaptability to public health policies. These findings offer valuable insights that can enhance urban planning strategies, thereby aiding pandemic mitigation efforts and fostering increased adaptability of urban areas in the face of exogenous shocks like the COVID-19 pandemic.
Representations of 5G in the Chinese and British press: a corpus-assisted critical discourse analysis
Authors: Pei Jiamin , Cheng Le 
Published: March 2024

AbstractThis study employs a corpus-assisted critical discourse analysis to demystify the dominant patterns of representations around 5G in the Chinese and British press. Keyword analyses identify four thematic categories around the representation of 5G: the nature of 5G, social actors in 5G discourse, actions around 5G and timing in 5G discourse. Findings suggest that the Chinese press tends to use positive evaluative expressions to depict 5G as a trustworthy and beneficial issue and stress China’s strong support for 5G development. In contrast, the British press prefers to frame 5G as a product of geopolitical rivalry and an issue with scientific uncertainties and controversies by repeatedly employing negative language patterns related to 5G risks and conspiracy theories. Besides, a subtle but varying “self versus other” schema is constructed by the two presses. The Chinese press is inclined to use positive predication strategies to construct a positive self-representation, whereas the British press tends to adopt negative predication strategies to portray China as an outgroup and meanwhile use scapegoating strategies to profile Britain as a positive self by using recurrent patterns denoting the pressure exerted on Britain by the United States. Such differences could result from their journalistic ideologies and values and the contrasting socio-political contexts where the two presses are situated.
Influence of social determinants of health in the evolution of the quality of life of older adults in Europe: A comparative analysis between men and women
Authors: Llorens-Ortega Rafael , Bertran-Noguer Carmen , Juvinyà-Canals Dolors , Garre-Olmo Josep , Bosch-Farré Cristina 
Published: March 2024

AbstractPopulation aging is a global phenomenon due to declining birth rates and increased life expectancy. This demographic shift poses a challenge to society, requiring adaptation of policies, economies, and healthcare systems to safeguard the well-being of older individuals. Health inequalities, influenced by social determinants such as education, economic status, and place of residence, impact this population group, with notable differences between men and women. Several studies have demonstrated that social determinants of health (SDH) affect the quality of life (QoL) of older individuals, especially women. In general, women report lower quality of life indicators, lower educational levels, and poorer health compared to men. This study aims to examine how social determinants of health can influence the quality of life of the population aged 50 or older in different European countries, from a sex perspective, through a longitudinal approach. The main SDHs associated with poorer QoL were female sex advanced age, economic hardship, educational level, and geographic location within Europe. Depression in women and men in Southern Europe was associated with a decrease in QoL scores.
How do cancer research scientists deal with machines and consumables? Exploring research ethics from an inductive ethnographic perspective
Authors: Mnasri Salaheddine , Jaber Fadi 
Published: March 2024

AbstractThis paper started from an inductive ethnography conducted within a cancer research lab in Belgium. The primary objective was to explore how researchers make decisions and rationalize their scientific practices. Through data collected from participant observation, interviews, and analysis of research protocols, the study exposes serious knowledge gaps that compromise research ethics. Specifically, the findings reveal the scientists’ need for more understanding of the validity of their lab machines and the readymade consumables procured from external providers. Moreover, without questioning this dependency, our participants (scientists) rely heavily on machines and consumables for almost all their research protocols. The findings suggest that cancer researchers place unjustifiable trust in the lab’s machines and the external providers’ reliability; this compromises the following three fundamental ethical principles: research integrity, responsible conduct, and the responsibility of using resources and technologies.
Single-shot fast cinematic imaging during merging process of multiple electron filaments in electrostatic potential well
Authors: Okada T. , Himura H. , Nakajima Y. , Sanpei A. 
Published: March 2024

For the first time, details of the spatial and temporal acceptable evolution of the merging process of co-rotating electron vortices in a potential well are successfully captured using a “single-shot method” with a high temporal resolution of 10 µs. Four-electron filaments are trapped inside the Beam eXperiment-Upgrade linear trap [H. Himura, Nucl. Instrum. Methods Phys. Res. A 811, 100 (2016)] with a uniform axial magnetic field and co-axial multi-ring electrodes. Images of non-emitting electron filaments are captured using a high-speed camera with up to 1 000 000 fps, a microchannel plate, a fast-decay phosphor screen of which fluorescence duration is 0.15 µs, and a super fine metallic mesh with an open area ratio of 89%. Images captured every 10 µs clearly show the growth of multiple short-wave instabilities in the wing trailing electron vortices. The experimental methods and measurement techniques presented in this paper can contribute to revealing exactly how small vortices evolve into a large structure or turbulence in a potential well through complex processes.
Rapid generation of massive thermodynamic datasets using frequency comb spectroscopy
Authors: Karim Faisal , Scholten Sarah K. , Perrella Christopher , Luiten Andre N. 
Published: March 2024

We demonstrate massively parallel spectroscopic measurements of 12C2H2 using an optical frequency comb. This allows for the rapid and simultaneous estimation of self-broadening and self-shifting of more than 50 optical transitions between 1512 and 1538 nm. The use of a temperature-controlled sealed gas cell allows us to measure both pressure- and temperature-mediated broadening and shifting. We present the results for the pressure-mediated self-broadening and self-shifting coefficients for 59 optical lines that make up the v1 + v3 combination band and a selection of hot bands. Our ability to measure the broadening of numerous transitions allows for the confirmation of prior work that shows that there is no measurable vibrational dependence across all acetylene bands, despite the strong dependence of the broadening coefficient on the rotational number. We also present an extensive measurement of the temperature dependence of the self-broadening for each of these 59 lines. This work shows the revolutionary power afforded by the frequency combs for rapid generation of large datasets related to thermodynamic variations of the key spectroscopic parameters of important gases.
Reproductive dynamics of striped marlin (Kajikia audax) in the central North Pacific
Authors: Humphreys Robert L. , Brodziak Jon K. T. 
Published: March 2024

Context Within the western and central North Pacific Ocean stock of striped marlin (Kajikia audax), reproductive information is lacking for the central North Pacific. Aims To derive estimates of sex-specific functional maturity ogives, eye-to-fork length at 50% maturity, reproductive phase composition, spawning season and sex ratios by sampling the Hawaii-based pelagic longline fishery. Methods Gonad histology was exclusively used to confirm sex and estimate all reproductive life history traits. Key results Females spawn in May–July; males are capable of spawning year-round. Best length at 50% maturity estimates were based on datasets restricted to the female spawning season (eye–fork length for females 152.2 cm and for males 109.0 cm). Length distributions and sex ratios are seasonally dynamic around Hawaii and differ from those in other Pacific regions. Conclusions Length-at-maturity estimates for the central North Pacific are lower than all sex-specific estimates reported from other Pacific regions. Implications The new maturity estimates will improve determinations of stock resilience and productivity in upcoming international assessments.
Nonlinear dynamics study of freestanding triboelectric nanogenerator system
Authors: Cao Jingyu , Bao Jiusheng , Yin Yan , Cao Ting 
Published: March 2024

Abstract
As a nonlinear dynamic system, the dynamic equation of triboelectric nanogenerator system is not only difficult to accurately establish, but also difficult to solve. The output signals of triboelectric nanogenerator system depends on the initial conditions of the system, which reflects the dynamic behavior of the system. Currently, there is little research on using the output signals to study the dynamic behavior of triboelectric nanogenerator system. Therefore, a dynamic simulation model of a freestanding triboelectric nanogenerator (F-TENG) system was established using COMSOL software. The mathematical model of the F-TENG system was fitted. Using chaos theory and its phase-space reconstruction technology, the phase-space trajectories of the F-TENG system were reconstructed through voltage signals under external factors, and the dynamic behavior of the F-TENG system was discussed and studied. Finally, validation experiments were carried out. The research shows that with the variation of internal factors and operating frequency, the mathematical model of the F-TENG system remains basically unchanged, and the variation law of output characteristics also remains basically unchanged. The F-TENG system is in periodic motion; with the variation of external factors such as resistance and friction layer spacing, the mathematical model of the F-TENG system will evolve in a complex direction, and the output characteristics will gradually distort. The F-TENG system will evolve from periodic motion to chaotic motion. The research results not only reveal the dynamic behavior and enrich the nonlinear dynamic theory of triboelectric nanogenerator system, but also provide theoretical guidance for increasing the working bandwidth and stability of triboelectric nanogenerator system.
Magnetization reversal of ferromagnetic nanosample by circularly polarized radiation pulse under resonance condition
Authors: Lobachev Andrew V , Ye Zhuravlev Mikhail , Vedyayev Anatoly V 
Published: March 2024

Abstract
We consider the problem of the magnetization dynamics of a nanosized ferromagnetic sample caused by the spin–orbit interaction of electrons arising in the field of an incident electromagnetic wave. We discuss the case when the frequency of the incident electromagnetic radiation is close to the frequency of the interband transitions. We show that with the use of high-power lasers, this mechanism causes the appearance of a magnetization component perpendicular to the initial magnetization of the sample. This component shows oscillations with a frequency lower than that of incident electromagnetic waves. These dynamics make possible the magnetization reversal of the sample.
Underwater wideband coherent signals DOA estimation using sparse representation and deconvolution
Authors: Fan Jingjing , Tao Quan , Qian Zhiwen , Fu Xiaomei 
Published: March 2024

Abstract
The beamforming-based direction of arrival (DOA) estimation method is widely used because of its advantages of robustness, which requires a large array aperture to ensure high spatial resolution. The deconvolution beam-forming method has high-resolution DOA estimation without increasing the array aperture. However, it is based on the assumption of incoherent narrowband signals. When the signals are coherent, the high cross-term sidelobes result in large estimation errors. In this paper, a new sparse deconvolution beamforming is proposed to estimate the DOA of wideband coherent signals. First, extend the deconvolution beamforming method to the wideband case by matrix transformation. Second, solve the problem that the traditional deconvolution algorithm is not applicable to coherent signals by sparse representation. Numerical simulations and underwater experiments are presented to verify the effectiveness of the proposed method. The results show that even at low signal-to-noise ratio and blind environment parameters, the proposed method can obtain better performance compared with other coherent signals DOA estimation algorithms.
Multisource elevations strategy obtaining robust seed points and reference surfaces for ground points extraction in complex terrain area
Authors: Li Jingyu , Wang Lei , Sun Liying , Zou Xin 
Published: March 2024

Abstract
The appearance of unmanned aerial vehicle photogrammetry and airborne lidar makes it possible to obtain measurement data for complex terrains such as gullies and mountainous regions. However, extracting ground points from these abundant and massive measurement datasets is challenging. In traditional extractions, their essence is to determine the surfaces that can describe the terrain from the seed points in the grid and use them as the basis for separating non-ground points. For effective extraction, this study proposes a multisource elevations strategy (MES) obtaining robust seed points and reference surfaces. First, two-level extended grids were constructed as the basic units. Then, to select more robust values between measurement and interpolation elevations, an elevation-determination rule was established for seed points. After, based fitting and interpolation elevations of grid nodes, the correction range is determined and the elevation is corrected for reference surfaces. In two representative complex terrain areas, when non-ground points were marked as seed points, the MES effectively reduced the phenomenon of seed points moving away from the ground. Reference surfaces can also accurately represent the global change trend and local elevation of the ground in areas where the terrain changes rapidly. This strategy provides a new thinking for ground point extraction from point cloud.
Numerical study of the Serre–Green–Naghdi equations in 2D
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Authors: Gavrilyuk Sergey , Klein Christian 
Published: March 2024

Abstract
A detailed numerical study of solutions to the Serre–Green–Naghdi (SGN) equations in 2D with vanishing curl of the velocity field is presented. The transverse stability of line solitary waves, 1D solitary waves being exact solutions of the 2D equations independent of the second variable, is established numerically. The study of localized initial data as well as crossing 1D solitary waves does not give an indication of existence of stable structures in SGN solutions localized in two spatial dimensions. For the numerical experiments, an approach based on a Fourier spectral method with a Krylov subspace technique is applied.
IWNeXt: an image-wavelet domain ConvNeXt-based network for self-supervised multi-contrast MRI reconstruction
Authors: Yan Yanghui , Yang Tiejun , Jiao Chunxia , Yang Aolin , Miao Jianyu 
Published: March 2024

Abstract

Objective. Multi-contrast magnetic resonance imaging (MC MRI) can obtain more comprehensive anatomical information of the same scanning object but requires a longer acquisition time than single-contrast MRI. To accelerate MC MRI speed, recent studies only collect partial k-space data of one modality (target contrast) to reconstruct the remaining non-sampled measurements using a deep learning-based model with the assistance of another fully sampled modality (reference contrast). However, MC MRI reconstruction mainly performs the image domain reconstruction with conventional CNN-based structures by full supervision. It ignores the prior information from reference contrast images in other sparse domains and requires fully sampled target contrast data. In addition, because of the limited receptive field, conventional CNN-based networks are difficult to build a high-quality non-local dependency. Approach. In the paper, we propose an Image-Wavelet domain ConvNeXt-based network (IWNeXt) for self-supervised MC MRI reconstruction. Firstly, INeXt and WNeXt based on ConvNeXt reconstruct undersampled target contrast data in the image domain and refine the initial reconstructed result in the wavelet domain respectively. To generate more tissue details in the refinement stage, reference contrast wavelet sub-bands are used as additional supplementary information for wavelet domain reconstruction. Then we design a novel attention ConvNeXt block for feature extraction, which can capture the non-local information of the MC image. Finally, the cross-domain consistency loss is designed for self-supervised learning. Especially, the frequency domain consistency loss deduces the non-sampled data, while the image and wavelet domain consistency loss retain more high-frequency information in the final reconstruction. Main results. Numerous experiments are conducted on the HCP dataset and the M4Raw dataset with different sampling trajectories. Compared with DuDoRNet, our model improves by 1.651 dB in the peak signal-to-noise ratio. Significance. IWNeXt is a potential cross-domain method that can enhance the accuracy of MC MRI reconstruction and reduce reliance on fully sampled target contrast images.
3D whole heart k-space-based super-resolution cardiac T1 mapping using rotated stacks
Authors: Hufnagel Simone , Schuenke Patrick , Schulz-Menger Jeanette , Schaeffter Tobias , Kolbitsch Christoph 
Published: March 2024

Abstract

Objective. To provide three-dimensional (3D) whole-heart high-resolution isotropic cardiac T1 maps using a k-space-based through-plane super-resolution reconstruction (SRR) with rotated multi-slice stacks. Approach. Due to limited SNR and cardiac motion, often only 2D T1 maps with low through-plane resolution (4–8 mm) can be obtained. Previous approaches used SRR to calculate 3D high-resolution isotropic cardiac T1 maps. However, they were limited to the ventricles. The proposed approach acquires rotated stacks in long-axis orientation with high in-plane resolution but low through-plane resolution. This results in radially overlapping stacks from which high-resolution T1 maps of the whole heart are reconstructed using a k-space-based SRR framework considering the complete acquisition model. Cardiac and residual respiratory motion between different breath holds is estimated and incorporated into the reconstruction. The proposed approach was evaluated in simulations and phantom experiments and successfully applied to ten healthy subjects.Main results. 3D T1 maps of the whole heart were obtained in the same acquisition time as previous methods covering only the ventricles. T1 measurements were possible even for small structures, such as the atrial wall. The proposed approach provided accurate (P > 0.4; R
2 > 0.99) and precise T1 values (SD of 64.32 ± 22.77 ms in the proposed approach, 44.73 ± 31.9 ms in the reference). The edge sharpness of the T1 maps was increased by 6.20% and 4.73% in simulation and phantom experiments, respectively. Contrast-to-noise ratios between the septum and blood pool increased by 14.50% in in vivo measurements with a k-space compared to an image-space-based SRR. Significance. The proposed approach provided whole-heart high-resolution 1.3 mm isotropic T1 maps in an overall acquisition time of approximately three minutes. Small structures, such as the atrial and right ventricular walls, could be visualized in the T1 maps.