bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technology development pathways: enigmas of appropriate technology choice
Authors: Bera Subhasis , Rahut Dil 
Published: March 2024

AbstractThe quest for technological development as a solution for sustainable development is the genesis of the multidimensional conflict between sustainability, competitive innovation and technological progress. Albeit persistent cognisance for appropriate technology solutions for a specific issue, the debate on the choice between short-run solutions and sustainability, local or global development, awareness and consumption, political gains, and citizens’ benefits remains inconclusive. This paper argues that the debate stems from misunderstanding the term sustainability and the strategic misrepresentation of technology for political gain. Concurrently, the inability of the market failure rationale to choose appropriate technology to minimise the divergence between the private and social benefit makes the policy formulation problem more intricate. Furthermore, despite increasing awareness regarding the environmental status, failure to alter their consumption pattern to reduce the energy requirement exacerbates the issues. These multidimensional aspects can obscure possibilities for true sustainability and socially deliberate technological futures.
MKTN: Adversarial-Based Multifarious Knowledge Transfer Network from Complementary Teachers
Authors: Zhang Xiaobing , Chang Heyu , Hao Yaohui , Chang Dexian 
Published: March 2024

AbstractWith the demands for light deep networks models in various front-end devices, network compression has attracted increasing interest for reducing model sizes yet without sacrificing much model accuracy. This paper presents a multifarious knowledge transfer network (MKTN) that aims to produce a compact yet powerful student network from two complementary teacher networks. Instead of learning homogeneous features, the idea is to pre-train one teacher to capture generative and low-level image features under a reconstruction objective, and another teacher to capture discriminative and task-specific features under the same objective as the student network. During knowledge transfer, the student learns multifarious and complementary knowledge from the two teacher networks under the guidance of the proposed adversarial loss and feature loss respectively. Experimental results indicate that the proposed training losses can effectively guide the student to learn spatial-level and pixel-level information as distilled from teacher networks. On the other hand, our study over a number of widely used datasets shows that transferring multifarious features from complementary teachers equipped with different types of knowledge helps to teach a compact yet powerful student effectively.
Beyond “Geological Nature,” Fatalistic Determinism and Pop‐Anthropocene: Social, Cultural, and Political Aspects of the Anthropocene
Authors: Żuk Piotr , Żuk Paweł 
Published: March 2024

AbstractThe commentary encourages supplementing the geological and natural concept of the Anthropocene with a cultural and political aspect. These two perspectives are not mutually exclusive but are complementary. This approach can facilitate its transition from the language of academic debate to practical and necessary actions at the societal level. According to the authors, the slightly abstract and impersonal Anthropocene should be shown in the context of cultural, economic and political dependencies and choices that created it and continue to reproduce its logic. This turn also opens up a new area for analyzing the Anthropocene from the perspective of a critique of political economy (an analysis of the costs of economic policies that reproduce and accelerate successive stages of the ecological catastrophe) as well as of civic culture (research “anthropocentric awareness” or “anthropocentric citizenship” in entire societies). Thus, the authors suggest rejecting the fatalistic determinism of the Anthropocene as a process that, although originally caused by abstract (devoid of historical, economic and political contexts) humans, is now often treated as a phenomenon beyond the reach of social action.
A Sub‐relativistic Electron Three‐Belt Event in the Earth's Radiation Belts: Observation and Explanation
Authors: Chen Jia‐Li , Zou Hong , Hao Yi‐Xin , Ye Yu‐Guang , Miyoshi Yoshizumi , Matsuoka Ayako , Shinohara Iku , Teramoto Mariko , Xu Shi‐Ge 
Published: March 2024

AbstractThe Van Allen Probes mission contributed to the discovery of the relativistic (∼500 keV–2 MeV) and ultra‐relativistic (∼>2 MeV) electron three‐belt structure in Earth's radiation belts. This structure results from the partial depletion of the preexisting outer belt and the replenishment of a new outer belt. Ultra‐low frequency and very‐low frequency waves are believed to play important roles in these processes, and substorm injections are usually not responsible for the formation of the external outer belt. In this study, based on observations from the Arase and NOAA‐18 (National Oceanic and Atmospheric Administration‐18) satellites, we report an electron three‐belt event in the energy range of ∼100–200 keV (i.e., sub‐relativistic electrons). According to the evolution of the phase space density and the dawn‐dusk asymmetric flux enhancement during this event, we conclude that the depletion of the upper part of the original outer belt was due to outward radial diffusion accompanied by magnetopause shadowing effect and convection, and the formation of the external outer belt was due to increased electron flux from convection as well as substorm injections. This discovery and its preliminary explanation may help understand the electron three‐belt structure in radiation belts more comprehensively.
Formation of In‐Cloud Aqueous‐Phase Secondary Organic Matter and Related Characteristic Molecules
Authors: Sun Wei , Zhang Guohua , Guo Ziyong , Fu Yuzhen , Peng Xiaocong , Yang Yuxiang , Hu Xiaodong , Lin Juying , Jiang Feng , Jiang Bin , Liao Yuhong , Chen Duohong , Chen Jianmin , Ou Jie , Wang Xinming , Peng Ping'an , Bi Xinhui 
Published: March 2024

AbstractThe formation process of in‐cloud aqueous‐phase secondary organic matter (aqSOM) and its characteristics are unclear. Herein, water‐soluble inorganic ions, oxalate, and water‐soluble organic carbon (WSOC) were determined in cloud water and aerosol (PM2.5) samples simultaneously collected at a remote mountain site in southern China during spring 2018 and winter 2020. The molecular compositions of water‐soluble organic matter (WSOM) in cloud water and aerosols were analyzed by a Fourier transform ion cyclotron resonance mass spectrometer in negative electrospray ionization (ESI‐) mode. The results showed that the mean concentration of WSOC was 6.27–8.54 mg C L−1 in cloud water and 0.60–1.37 μg C m−3 in aerosols. The strong correlation observed between WSOM and aqueous secondary matter (e.g., NO3− and oxalate), the positive matrix factorization results, and the elevated WSOM/K+ ratios observed in cloud water suggested enhanced aqSOM formation in cloud water. According to random forest analysis, the factors related to in‐cloud WSOM variation mainly included secondary ions, K+, cloud water pH, and atmospheric NOx. Additionally, 37 characteristic in‐cloud aqSOM molecules, classified as ‐Ox, ‐NOx, ‐N2Ox, and ‐N1‐2OxS, mainly consisting of dicarboxylic acids, nitrophenols, and dinitrophenols, were identified using linear discriminant analysis effect size (LefSe). The characteristic N‐ and S‐containing molecules in in‐cloud aqSOM with carbon numbers >10 had low or extremely low volatility; therefore, they might contribute to secondary organic aerosol formation after droplet evaporation. The results revealed the modifying effects of in‐cloud processes on aerosol organic composition at the molecular level and could improve our understanding of aerosol–cloud interactions.
Climate Model Simulations of the Effects of Orbital Parameters on Glacier Equilibrium Line Altitude
Authors: O’Neill G. R. , Broccoli A. J. 
Published: March 2024

AbstractThe effects of obliquity and precession on conditions favorable for Northern Hemisphere glaciation are explored using an energy balance and mass balance model of equilibrium line altitude (ELA), the height on a glacier where accumulation and ablation are in balance annually. Climate forcing for the ELA model is obtained from idealized single‐forcing orbital simulations with two atm‐ocean general circulation models, Geophysical Fluid Dynamics Laboratory (GFDL) CM2.1 and National Center for Atmospheric Research (NCAR) Community Earth System Model version 1.2. Over Scandinavia and Baffin Island, the respective locations in which the Scandinavian and Laurentide ice sheets are thought to have originated, low obliquity and perihelion at the boreal winter solstice are associated with lower ELA values, as would be expected from the orbital theory of the ice ages. Linear reconstructions of ELA variations over the past 800 kyr indicate that precession dominated ELA variations in Scandinavia and Baffin Island in the GFDL model, and in Scandinavia in the NCAR model. Obliquity and precession played equal roles in Baffin Island in the NCAR model. A decomposition of the ELA responses finds that the effects of ablation on ELA are much larger than the effects of precipitation. Overall, the findings of this study point to precession being a more important factor in glacial inception than obliquity, which contrasts with previous findings in which obliquity had a slightly larger effect on positive degree days (PDDs), a simple metric for ablation. This is likely due to differences in seasonality of melt from the ELA model and PDDs.
Cross‐Polarization Gain Calibration of Linearly Polarized VLBI Antennas by Observations of 4C 39.25
Authors: Jaron F. , Martí‐Vidal I. , Schartner M. , González‐García J. , Albentosa‐Ruiz E. , Bernhart S. , Böhm J. , Gruber J. , Modiri S. , Nothnagel A. , Pérez‐Díez V. , Savolainen T. , Soja B. , Varenius E. , Xu M. H. 
Published: March 2024

AbstractRadio telescopes with dual linearly polarized feeds regularly participate in Very Long Baseline Interferometry. One example is the VLBI Global Observing System (VGOS), which is employed for high‐precision geodesy and astrometry. In order to achieve the maximum signal‐to‐noise ratio, the visibilities of all four polarization products are combined to Stokes I before fringe‐fitting. Our aim is to improve cross‐polarization bandpass calibration, which is an essential processing step in this context. Here we investigate the shapes of these station‐specific quantities as a function of frequency and time. We observed the extra‐galactic source 4C 39.25 for 6 hours with a VGOS network. We correlated the data with the DiFX software and analyzed the visibilities with PolConvert to determine the complex cross‐bandpasses with high accuracy. Their frequency‐dependent shape is to first order characterized by a group delay between the two orthogonal polarizations, in the order of several hundred picoseconds. We find that this group delay shows systematic variability in the range of a few picoseconds, but can remain stable within this range for several years, as evident from earlier sessions. On top of the linear phase‐frequency relationship there are systematic deviations of several tens of degrees, which in addition are subject to smooth temporal evolution. The antenna cross‐bandpasses are variable on time scales of ∼1 hr, which defines the frequency of necessary calibrator scans. The source 4C 39.25 is confirmed as an excellent cross‐bandpass calibrator. Dedicated surveys are highly encouraged to search for more calibrators of similar quality.
Macrophage migration inhibitory factor blockade reprograms macrophages and disrupts prosurvival signaling in acute myeloid leukemia
Authors: Spertini Caroline , Bénéchet Alexandre P. , Birch Flora , Bellotti Axel , Román-Trufero Mónica , Arber Caroline , Auner Holger W. , Mitchell Robert A. , Spertini Olivier , Smirnova Tatiana 
Published: March 2024

AbstractThe malignant microenvironment plays a major role in the development of resistance to therapies and the occurrence of relapses in acute myeloid leukemia (AML). We previously showed that interactions of AML blasts with bone marrow macrophages (MΦ) shift their polarization towards a protumoral (M2-like) phenotype, promoting drug resistance; we demonstrated that inhibiting the colony-stimulating factor-1 receptor (CSF1R) repolarizes MΦ towards an antitumoral (M1-like) phenotype and that other factors may be involved. We investigated here macrophage migration inhibitory factor (MIF) as a target in AML blast survival and protumoral interactions with MΦ. We show that pharmacologically inhibiting MIF secreted by AML blasts results in their apoptosis. However, this effect is abrogated when blasts are co-cultured in close contact with M2-like MΦ. We next demonstrate that pharmacological inhibition of MIF secreted by MΦ, in the presence of granulocyte macrophage-colony stimulating factor (GM-CSF), efficiently reprograms MΦ to an M1-like phenotype that triggers apoptosis of interacting blasts. Furthermore, contact with reprogrammed MΦ relieves blast resistance to venetoclax and midostaurin acquired in contact with CD163+ protumoral MΦ. Using intravital imaging in mice, we also show that treatment with MIF inhibitor 4-IPP and GM-CSF profoundly affects the tumor microenvironment in vivo: it strikingly inhibits tumor vasculature, reduces protumoral MΦ, and slows down leukemia progression. Thus, our data demonstrate that MIF plays a crucial role in AML MΦ M2-like protumoral phenotype that can be reversed by inhibiting its activity and suggest the therapeutic targeting of MIF as an avenue towards improved AML treatment outcomes.
Development of beat-by-beat blood pressure monitoring device and nocturnal sec-surge detection algorithm
Authors: Kokubo Ayako , Kuwabara Mitsuo , Tomitani Naoko , Yamashita Shingo , Shiga Toshikazu , Kario Kazuomi 
Published: March 2024

AbstractThe nocturnal blood pressure (BP) surge in seconds (sec-surge) is defined as a brief, acute transient BP elevation over several tens of seconds, triggered by obstructive sleep apnea (OSA) and sympathetic hyperactivity. Sec-surge imposes a significant strain on the cardiovascular system, potentially triggering cardiovascular events. Quantitative evaluation of sec-surge level could be valuable in assessing cardiovascular risks. To accurately measure the detailed sec-surge, including its shape as BP rises and falls, we developed a beat-by-beat (BbB) BP monitoring device using tonometry. In addition, we developed an automatic sec-surge detection algorithm to help identify sec-surge cases in the overnight BbB BP data. The device and algorithm successfully detected sec-surges in patients with OSA. Our results demonstrated that sec-surge was associated with left ventricular hypertrophy and arterial stiffness independently of nocturnal BP level or variability. Sec-surge would be worth monitoring for assessing cardiovascular risks, in addition to nocturnal BP level.
Manufacturing supported loose-nanofiltration polymeric membranes with eco-friendly solvents on an R2R System
Authors: Lu David , Jung Kwangjun , Shim Ju Young , Harris Tequila A. L. , Escobar Isabel C. 
Published: March 2024

AbstractIn this study, loose nanofiltration membranes made of polysulfone dissolved in co-solvents PolarClean and gamma-Valerolactone were prepared via slot die coating (SDC) on a roll-to-roll (R2R) system by directly coating them onto a support layer or free standing. A solution flow rate of 20 mL/min, substrate speed of 17.1 mm/s, and coating gap of 0.1 mm resulted in the formation of membranes without structural defects. Pre-wetting the support layer with dope solution minimized shrinkage of membrane layer thickness and improved interfacial adhesion. Membrane samples produced using SDC exhibited properties and performance consistent with bench-scale doctor blade extruded samples; pre-wetted and uncompressed samples (SDC-3) exhibited the highest rejection of bovine serum albumin (99.20% ± 1.31%) and along with adequate mean permeability during filtration (70.5 ± 8.33 LMH/bar). This study shows that combining sustainable materials development with SDC provides a holistic approach to membrane separations to bridge materials discovery and membrane formation.
Brain metabolism response to intrahospital transfers in neurocritical ill patients and the impact of microdialysis probe location
Authors: Pedrosa Leire , Hoyos Jhon , Reyes Luis , Mosteiro Alejandra , Zattera Luigi , Topczewski Thomaz , Rodríguez-Hernández Ana , Amaro Sergio , Torné Ramon , Enseñat Joaquim 
Published: March 2024

AbstractIntrahospital transfer (IHT), a routine in the management of neurocritical patients requiring imaging or interventions, might affect brain metabolism. Studies about IHT effects using microdialysis (MD) have produced conflicting results. In these studies, only the most damaged hemisphere was monitored, and those may not reflect the impact of IHT on overall brain metabolism, nor do they address differences between the hemispheres. Herein we aimed to quantify the effect of IHT on brain metabolism by monitoring both hemispheres with bilateral MD. In this study, 27 patients with severe brain injury (10 traumatic brain injury and 17 subarachnoid hemorrhage patients) were included, with a total of 67 IHT. Glucose, glycerol, pyruvate and lactate were measured by MD in both hemispheres for 10 h pre- and post-IHT. Alterations in metabolite levels after IHT were observed on both hemispheres; although these changes were more marked in hemisphere A (most damaged) than B (less damaged). Our results suggest that brain metabolism is altered after an IHT of neurocritical ill patients particularly but not limited to the damaged hemisphere. Bilateral monitorization may be more sensitive than unilateral monitorization for detecting metabolic disturbances not directly related to the course of the disease.
Thermal performance augmentation in a pipe employing hybrid nanofluid and a plate as turbulator with V-shaped double-winglet ribs
Authors: Fan Zhongmian , Wang Lingxiao , Liu Changjun , Abdollahi Seyyed Amirreza 
Published: March 2024

AbstractThis article employs a plate with V-shape ribs inside a tube as turbulator to augment the heat transfer rate. The utilized vortex generators are double-winglets arranged in a V-shape placed on both sides of the plate. The proposed system’s suggested working fluids are water-based hybrid nanofluids, including Al2O3–Cu/water, Cu–CuO/water, and Cu–TiO2/water. This work involves a numerical evaluation of the effects of the type and volume concentration of the examined hybrid nanofluids on the enhancement of heat transfer. The experimental results are used to validate the numerical model. It is worth mentioning that all the obtained numerical results are compared with the simple tube, without any turbulator (vortex generator) and in the presence of water instead of the hybrid nanofluids. Based on the numerical results, it can be concluded that all employed hybrid nanofluids showed improved thermal performance compared to pure water. Furthermore, the differences between the models are more substantial for higher Reynolds numbers than for lower Reynolds numbers. In Re = 30,000, the Cu–TiO2/water exhibits the lowest thermal performance improvement (augmentation of about 0.3%), while the Cu–CuO/water at Re = 50,000 exhibits the largest thermal performance improvement (augmentation of approximately 5.7%), in the case of ∅1 = ∅2 = 0.5%. For ∅1 = ∅2 = 1%, the Cu–TiO2/water at Re = 30,000 has the lowest thermal performance improvement (augmentation of around 1.1%), while the Cu–CuO/water at Re = 50,000 has the most thermal performance improvement (augmentation of roughly 8.7%). According to the augmentation of around 2.8% at Re = 30,000 for Cu–TiO2/water and approximately 10.8% at Re = 50,000 for Cu–CuO/water, the thermal performance increase in the scenario of ∅1 = ∅2 = 1.5% is the lowest. In Conclusion, the Cu–CuO/water hybrid nanofluid with a volume concentration of ∅1 = ∅2 = 1.5% has the greatest thermal performance value of all the hybrid nanofluids studied.
Automatic analysis of the continuous edges of stone tools reveals fundamental handaxe variability
Authors: Muller Antoine , Sharon Gonen , Grosman Leore 
Published: March 2024

AbstractThe edges of stone tools have significant technological and functional implications. The nature of these edges–their sharpness, whether they are concave or convex, and their asymmetry–reflect how they were made and how they could be used. Similarly, blunt portions of a tool’s perimeter hint at how they could have been grasped or hafted and in which directions force could be applied. However, due to the difficulty in accurately measuring the complex 3D geometry of tool edges with traditional methods, their attributes are often overlooked. When they are analyzed, they have traditionally been assessed with visual qualitative categories or unreliable physical measurements. We introduce new computational 3D methods for automatically and repeatably measuring key attributes of stone tool edges. These methods allow us to automatically identify the 3D perimeter of tools, segment this perimeter according to changes in edge angles, and measure these discrete edge segments with a range of metrics. We test this new computational toolkit on a large sample of 3D models of handaxes from the later Acheulean of the southern Levant. Despite these handaxes being otherwise technologically and morphologically similar, we find marked differences in the amount of knapped outline, edge angle, and the concavity of their edges. We find many handaxes possess blunt portions of perimeter, suitable for grasping, and some handaxes even possess more than one discrete sharp edge. Among our sample, sites with longer occupations and more diverse toolkits possessed handaxes with more diverse edges. Above all, this paper offers new methods for computing the complex 3D geometry of stone tool edges that could be applied to any number of artifact types. These methods are fully automated, allowing the analysis and visualization of entire assemblages.
Brain temperature and free water increases after mild COVID-19 infection
Authors: Sharma Ayushe A. , Nenert Rodolphe , Goodman Adam M. , Szaflarski Jerzy P. 
Published: March 2024

AbstractThe pathophysiology underlying the post-acute sequelae of COVID-19 remains understudied and poorly understood, particularly in healthy adults with a history of mild infection. Chronic neuroinflammation may underlie these enduring symptoms, but studying neuroinflammatory phenomena in vivo is challenging, especially without a comparable pre-COVID-19 dataset. In this study, we present a unique dataset of 10 otherwise healthy individuals scanned before and after experiencing mild COVID-19. Two emerging MR-based methods were used to map pre- to post-COVID-19 brain temperature and free water changes. Post-COVID-19 brain temperature and free water increases, which are indirect biomarkers of neuroinflammation, were found in structures functionally associated with olfactory, cognitive, and memory processing. The largest pre- to post-COVID brain temperature increase was observed in the left olfactory tubercle (p = 0.007, 95% CI [0.48, 3.01]), with a mean increase of 1.75 °C. Notably, the olfactory tubercle is also the region of the primary olfactory cortex where participants with chronic olfactory dysfunction showed the most pronounced increases as compared to those without lingering olfactory dysfunction (adjusted pFDR = 0.0189, 95% CI [1.42, 5.27]). These preliminary insights suggest a potential link between neuroinflammation and chronic cognitive and olfactory dysfunction following mild COVID-19, although further investigations are needed to improve our understanding of what underlies these phenomena.