bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning for sustainable organic waste treatment: a critical review
Authors: Gupta Rohit , Ouderji Zahra Hajabdollahi , Uzma  , Yu Zhibin , Sloan William T. , You Siming 
Published: April 2024

AbstractData-driven modeling is being increasingly applied in designing and optimizing organic waste management toward greater resource circularity. This study investigates a spectrum of data-driven modeling techniques for organic treatment, encompassing neural networks, support vector machines, decision trees, random forests, Gaussian process regression, andk-nearest neighbors. The application of these techniques is explored in terms of their capacity for optimizing complex processes. Additionally, the study delves into physics-informed neural networks, highlighting the significance of integrating domain knowledge for improved model consistency. Comparative analyses are carried out to provide insights into the strengths and weaknesses of each technique, aiding practitioners in selecting appropriate models for diverse applications. Transfer learning and specialized neural network variants are also discussed, offering avenues for enhancing predictive capabilities. This work contributes valuable insights to the field of data-driven modeling, emphasizing the importance of understanding the nuances of each technique for informed decision-making in various organic waste treatment scenarios.
Quantitative phase imaging with a compact meta-microscope
Authors: Wang Junyi , Yu Rongtao , Ye Xin , Sun Jiacheng , Li Jian , Huang Chunyu , Xiao Xingjian , Ji Jitao , Shen Wenjing , Tie Zuoxiu , Chen Chen , Zhu Shining , Li Tao 
Published: April 2024

AbstractQuantitative phase imaging (QPI) based on the transport-of-intensity equation (TIE) is a powerful technique in label-free microscopy. The image stack required for a successful TIE-QPI is traditionally obtained by translating the object or image plane, and the optical elements used in the conventional TIE-QPI systems are usually bulky and cumbersome. Stable and compact TIE-QPI methods capable of non-motion optical zooming can significantly facilitate applications that demand portability. Here, we propose a non-motion TIE-QPI method based on a dispersive metalens. The dispersive nature of the metalens is utilized to provide a spectral focal tuning. With fixed object and image planes, seven through-focus intensity images are captured by changing the illumination wavelength. The QPI performance is validated by retrieving the surface phase profiles of a microlens array and a phase resolution target, showing a high phase detection accuracy (deviation less than 0.03 wavelength). Subsequently, we established a compact meta-microscope by integrating the metalens with a commercially available CMOS image sensor, which shows good performance in microscopic imaging of unstained bio-samples. Our approach, based on the large-dispersive metalens, facilitates a compact and robust QPI system for optical metrology and label-free microscopy.
A missense mutation in human INSC causes peripheral neuropathy
Authors: Yeh Jui-Yu , Chao Hua-Chuan , Hong Cheng-Li , Hung Yu-Chien , Tzou Fei-Yang , Hsiao Cheng-Tsung , Li Jeng-Lin , Chen Wen-Jie , Chou Cheng-Ta , Tsai Yu-Shuen , Liao Yi-Chu , Lin Yu-Chun , Lin Suewei , Huang Shu-Yi , Kennerson Marina , Lee Yi-Chung , Chan Chih-Chiang 
Published: April 2024

AbstractPAR3/INSC/LGN form an evolutionarily conserved complex required for asymmetric cell division in the developing brain, but its post-developmental function and disease relevance in the peripheral nervous system (PNS) remains unknown. We mapped a new locus for axonal Charcot–Marie-Tooth disease (CMT2) and identified a missense mutation c.209 T > G (p.Met70Arg) in the INSC gene. Modeling the INSCM70R variant in Drosophila, we showed that it caused proprioceptive defects in adult flies, leading to gait defects resembling those in CMT2 patients. Cellularly, PAR3/INSC/LGN dysfunction caused tubulin aggregation and necrotic neurodegeneration, with microtubule-stabilizing agents rescuing both morphological and functional defects of the INSCM70R mutation in the PNS. Our findings underscore the critical role of the PAR3/INSC/LGN machinery in the adult PNS and highlight a potential therapeutic target for INSC-associated CMT2.
OSFS‐Vague: Online streaming feature selection algorithm based on vague set
Authors: Yang Jie , Wang Zhijun , Wang Guoyin , Liu Yanmin , He Yi , Wu Di 
Published: April 2024

AbstractOnline streaming feature selection (OSFS), as an online learning manner to handle streaming features, is critical in addressing high‐dimensional data. In real big data‐related applications, the patterns and distributions of streaming features constantly change over time due to dynamic data generation environments. However, existing OSFS methods rely on presented and fixed hyperparameters, which undoubtedly lead to poor selection performance when encountering dynamic features. To make up for the existing shortcomings, the authors propose a novel OSFS algorithm based on vague set, named OSFS‐Vague. Its main idea is to combine uncertainty and three‐way decision theories to improve feature selection from the traditional dichotomous method to the trichotomous method. OSFS‐Vague also improves the calculation method of correlation between features and labels. Moreover, OSFS‐Vague uses the distance correlation coefficient to classify streaming features into relevant features, weakly redundant features, and redundant features. Finally, the relevant features and weakly redundant features are filtered for an optimal feature set. To evaluate the proposed OSFS‐Vague, extensive empirical experiments have been conducted on 11 datasets. The results demonstrate that OSFS‐Vague outperforms six state‐of‐the‐art OSFS algorithms in terms of selection accuracy and computational efficiency.
Distributed optimal Volt/Var control in power electronics dominated AC/DC hybrid distribution network
Authors: Zhang Rufeng , Song Yiting , Qu Rui 
Published: April 2024

AbstractThe integration of large‐scale distributed power sources increases the voltage fluctuation in AC/DC hybrid distribution network (AD‐HDN). Power electronics devices such as photovoltaic (PV) inverters, soft open point (SOP), and voltage source converters (VSCs) can be utilized for voltage/var control (VVC) to alleviate the risk of voltage fluctuation and violation. This paper proposes a distributed optimal VVC method in power electronics dominated AD‐HDN. Firstly, the reactive power and voltage characteristics of PV inverters, SOP, and VSCs are analysed, and an optimal VVC optimization model for AD‐HDN to minimize node voltage deviation, PV curtailment, and network loss is proposed. Then, the second‐order cone (SOC) relaxation technique is used to re‐formulate the model into a convex optimization model. A distributed optimal VVC framework based on the alternating direction method of multipliers (ADMM) is constructed. Based on the residual balance principle and relaxation technique, an accelerated ADMM method is further proposed to solve the proposed model. Finally, case studies are conducted on the IEEE 33‐node and 85‐node systems to verify the superiority and effectiveness of the proposed method.
A game theoretic approach to wireless body area networks interference control
Authors: Alabdel Abass Ahmed A. , Alshaheen Hisham , Takruri Haifa 
Published: April 2024

AbstractIn this paper we consider a scenario where there are two wireless body area networks (WBANs) interfere with each other from a game theoretic perspective. In particular, we envision two WBANs playing a potential game to enhance their performance by decreasing interference to each other. Decreasing interference extends the sensors' batteries life time and reduces the number of re‐transmissions. We derive the required conditions for the game to be a potential game and its associated the Nash equilibrium (NE). Specifically, we formulate a game where each WBAN has three strategies. Depending on the payoff of each strategy, the game can be designed to achieve a desired NE. Furthermore, we employ a learning algorithm to achieve that NE. In particular, we employ the Fictitious play (FP) learning algorithm as a distributed algorithm that WBANs can use to approach the NE. The simulation results show that the NE is mainly a function of the power cost parameter and a reliability factor that we set depending on each WBAN setting (patient). However, the power cost factor is more dominant than the reliability factor according to the linear cost function formulation that we use throughout this work.
Reconstructing the near- to mid-infrared environment in the stellar merger remnant V838 Monocerotis
Authors: Mobeen Muhammad Zain , Kamiński Tomasz , Matter Alexis , Wittkowski Markus , Monnier John D. , Kraus Stefan , Le Bouquin Jean-Baptiste , Anugu Narsireddy , Ten Brummelaar Theo , Davies Claire L. , Ennis Jacob , Gardner Tyler , Labdon Aaron , Lanthermann Cyprien , Schaefer Gail H. , Setterholm Benjamin R. , Ibrahim Nour , Howell Steve B. 
Published: April 2024

Context. V838 Mon is a stellar merger remnant that erupted in a luminous red nova event in 2002. Although it has been well studied in the optical, near-infrared, and submillimeter regimes, its structure in the mid-infrared wavelengths remains elusive. Over the past two decades, only a handful of infrared interferometric studies have been performed, suggesting the presence of an elongated structure at multiple wavelengths. However, given the limited nature of these observations, the true morphology of the source has not yet been conclusively determined.
Aims. By performing image reconstruction using observations taken at the VLTI and CHARA, we aim to map out the circumstellar environment in V838 Mon.
Methods. We observed V838 Mon with the MATISSE (LMN bands) and GRAVITY (K band) instruments at the VLTI as well as the MIRCX/MYSTIC (HK bands) instruments at the CHARA array. We geometrically modelled the squared visibilities and the closure phases in each of the bands to obtain the constraints on the physical parameters. Furthermore, we constructed high-resolution images of V838 Mon in the HK bands using the MIRA and SQUEEZE algorithms to study the immediate surroundings of the star. Lastly, we also modelled the spectral features seen in the K and M bands at various temperatures.
Results. The image reconstructions show a bipolar structure that surrounds the central star in the post-merger remnant. In the K band, the super-resolved images show an extended structure (uniform disk diameter ~1.94 mas) with a clumpy morphology that is aligned along a north-west position angle (PA) of −40°. On the other hand, in the H band, the extended structure (uniform disk diameter ~1.18 mas) lies roughly along the same PA. Yet the northern lobe is slightly misaligned with respect to the southern lobe, which results in the closure phase deviations.
Conclusions. The VLTI and CHARA imaging results show that V838 Mon is surrounded by features resembling jets that are intrinsically asymmetric. This is further confirmed by the closure phase modelling. Further observations with VLTI can help to determine whether this structure shows any variations over time and also if such bi-polar structures are commonly formed in other stellar merger remnants.
globin: A spectropolarimetric inversion code for the coupled inference of atomic line parameters
Authors: Vukadinović D. , Smitha H. N. , Korpi-Lagg A. , van Noort M. , Castellanos Durán J. S. , Solanki S. K. 
Published: April 2024

Context. The reliability of physical parameters describing the solar atmosphere inferred from observed spectral line profiles depends on the accuracy of the involved atomic parameters. For many transitions, atomic data, such as the oscillator strength (log(gf)) and the central wavelength of the line, are poorly constrained or even unknown.
Aims. We present and test a new inversion method that infers atomic line parameters and the height stratification of the atmospheric parameters from spatially resolved spectropolarimetric observations of the Sun. This method is implemented in the new inversion code globin.
Methods. The new method employs a global minimization algorithm enabling the coupling of inversion parameters common to all pixels, such as the atomic parameters of the observed spectral lines. At the same time, it permits the optimum atmospheric parameters to be retrieved individually for each spatial pixel. The uniqueness of this method lies in its ability to retrieve reliable atomic parameters even for heavily blended spectral lines. We tested the method by applying it to a set of 18 blended spectral lines between 4015 Å and 4017 Å, synthesized from a 3D magnetohydrodynamic simulation containing a sunspot and the quiet Sun region around it. The results were then compared with a previously used inversion method where atomic parameters were determined for every pixel independently (pixel-by-pixel method). For the same spectral region, we also inferred the atomic parameters from the synthesized spatially averaged disc-centre spectrum of the quiet-sun.
Results. The new method was able to retrieve the log(gf) values of all lines to an accuracy of 0.004 dex, while the pixel-by-pixel method retrieved the same parameter to an accuracy of only 0.025 dex. The largest differences between the two methods are evident for the heavily blended lines, with the former method performing better than the latter. In addition, the new method is also able to infer reliable atmospheric parameters in all the inverted pixels by successfully disentangling the degeneracies between the atomic and atmospheric parameters.
Conclusions. The new method is well suited for the reliable determination of both atomic and atmospheric parameters and works well on all spectral lines, including those that are weak and/or severely blended. This is of high relevance, especially for the analysis of observations of spectral regions with a very high density of spectral lines. An example includes the future near-ultraviolet spectropolarimetric observations of the SUNRISE III stratospheric balloon mission.
The physical origin of the mass–size relation and its scatter for disk galaxies
Authors: Du Min , Ma Hong-Chuan , Zhong Wen-Yu , Ho Luis C. , Liao Shihong , Peng Yingjie 
Published: April 2024

Aims. In this study, we investigated the intricate interplay between internal (natural) and external (nurture) processes in shaping the scaling relationships between specific angular momentum (j⋆), stellar mass (M⋆), and the size of disk galaxies within the IllustrisTNG simulation.
Methods. Using a kinematic decomposition of simulated galaxies, we focus on galaxies with tiny kinematically inferred stellar halos indicative of weak external influences. We examined the correlation between the mass, size, and angular momentum of galaxies by comparing simulations with observations and the theoretical predictions of the exponential hypothesis.
Results. Galaxies with tiny stellar halos exhibit a large scatter in the j⋆ − M⋆ relation, which suggests that this scatter is inherently present in their initial conditions. Our analysis reveals that the disks of these galaxies adhere to the exponential hypothesis, resulting in a tight fiducial j⋆ − M⋆-scale length (size) relation that is qualitatively consistent with observations. The inherent scatter in j⋆ provides a robust explanation for the mass–size relation and its substantial variability. Notably, galaxies that are moderately influenced by external processes closely adhere to a scaling relation akin to that of galaxies with tiny stellar halos. This result underscores the dominant role of internal processes in shaping the overall j⋆ − M⋆ and mass–size relations, with external effects playing a relatively minor role in disk galaxies. Furthermore, the correlation between galaxy size and the virial radius of the dark matter halo exists but fails to provide strong evidence for a connection between galaxies and their parent dark matter halos.
Winds of change: The nuclear and galaxy-scale outflows and the X-ray variability of 2MASS 0918+2117
Authors: Baldini P. , Lanzuisi G. , Brusa M. , Merloni A. , Gkimisi K. , Perna M. , López I. E. , Bertola E. , Igo Z. , Waddell S. , Musiimenta B. , Aydar C. , Arcodia R. , Matzeu G. A. , Luminari A. , Buchner J. , Vignali C. , Dadina M. , Comastri A. , Cresci G. , Marchesi S. , Gilli R. , Tombesi F. , Serafinelli R. 
Published: April 2024

Context. In this work, we test feedback propagation models on the test case of 2MASS 0918+2117 (2M0918), a z = 0.149 X-ray variable AGN that shows tentative evidence for nuclear ultra-fast outflows (UFOs) in a 2005 XMM-Newton observation. We also investigate whether UFOs can be related to the observed X-ray variability.
Aims. We observed 2M0918 with XMM-Newton and NuSTAR in 2020 to confirm the presence of and characterize the UFOs. We performed a kinematic analysis of the publicly available 2005 SDSS optical spectrum to reveal and measure the properties of galaxy-scale ionized outflows. Furthermore, we constructed 20-year-long light curves of observed flux, line-of-sight column density, and intrinsic accretion rate from the spectra of the first four SRG/eROSITA all-sky surveys and archival observations from Chandra and XMM-Newton.
Methods. We detect UFOs with v ∼ 0.16c and galaxy-scale ionized outflows with velocities of ∼700 km s−1. We also find that the drastic X-ray variability (factors > 10) can be explained in terms of variable obscuration and variable intrinsic luminosity.
Results. Comparing the energetics of the two outflow phases, 2M0918 is consistent with momentum-driven wind propagation. 2M0918 expands the sample of AGN with both UFOs and ionized gas winds from 5 to 6 and brings the sample of AGN hosting multiscale outflows to 19, contributing to a clearer picture of feedback physics. From the variations in accretion rate, column density, and ionization level of the obscuring medium, we propose a scenario that connects obscurers, an accretion enhancement, and the emergence of UFOs.
Imaging spectroscopy of a spectral bump in a type II radio burst
Authors: Zhang Peijin , Morosan Diana E. , Zucca Pietro , Normo Sanna , Dabrowski Bartosz , Krankowski Andrzej , Vocks Christian 
Published: April 2024

Context. Observations of solar, type II radio bursts provide a unique opportunity to analyze the nonthermal electrons accelerated by coronal shocks and diagnose the plasma density distribution in the corona. However, there are very few high-frequency resolution interferometric observations of type II radio bursts that are capable of tracking these electrons.
Aims. Recently, more spatially resolved high-resolution observations of type II radio bursts have been recorded with the Low-Frequency Array (LOFAR). Using these observations, we aim to track the location of a type II radio burst that experienced a sudden spectral bump.
Methods. We present the first radio imaging observations of a type II burst with a spectral bump. We measured the variation in source location and frequency drift of the burst and deducted the density distribution along its propagation direction.
Results. We have identified a type II burst that experiences a sudden spectral bump in its frequency-time profile. The overall frequency drift rate is 0.06 MHz s−1, and this corresponds to an estimated speed of 295 km s−1. The projected velocity of the radio source obtained from imaging is 380 km s−1 toward the east. At the spectral bump, a deviation in the source locations of the type II split bands is observed. The band separation increases significantly in the north–south direction.
Conclusions. The spectral bump shows an 8 MHz deviation at 60 MHz, which corresponds to a 25% decrease in the plasma density. The estimated crossing distance during the spectrum bump was 29 mm, suggesting that this density variation occurs in a confined area. This indicates that the shock most likely encountered the upper extent of a coronal hole.
L’aviation, le tourisme et la décarbonation dans les décennies à venir : impasses, solutions et incertitudes
Authors: Ceron Jean-Paul , Peeters Paul , Dubois Ghislain 
Published: April 2024

Alors que le tourisme et le transport aérien se relèvent de l’impact de la Covid-19 et des problèmes structurels qu’elle a mis en lumière (conditions de travail, etc.), cela paraît être le moment de faire un bilan et une synthèse combinant les thématiques suivantes : les scénarios d’émissions de gaz à effet de serre du tourisme pour lesquels des travaux récents ont amélioré sensiblement la réflexion ; les émissions de l’aérien, dont 60 % selon le dernier rapport du GIEC sont hors CO2. On y voit maintenant plus clair sur les possibilités de diminuer ces dernières de façon significative ; les carburants et les motorisations alternatives pour l’aviation, sujets complexes et controversés sur lesquels la science a bien avancé ces dernières années. Les développements dans ces trois domaines offriraient-ils de nouvelles perspectives pour penser et atteindre une décarbonation du tourisme aérien ? La réponse est qu’elles peuvent apporter une contribution partielle, sans pour autant rendre caduques les réflexions antérieures sur les substitutions entre types de tourisme (proximité/longue distance), modes de transport (transport terrestre/aérien), etc. Dans le prolongement de cette analyse, l’article s’intéresse au positionnement des acteurs et aux types d’arguments qu’ils mobilisent. Le texte conclut sur la nécessité des choix stratégiques à effectuer pour éviter un gaspillage de moyens.
Un dispositif de formation initiale innovant sur la réflexivité des masseurs-kinésithérapeutes en situation clinique
Authors: Guyet Delphine , Saillot Eric 
Published: April 2024

Contexte et problématique : Cet article s’appuie sur l’analyse d’un dispositif de formation innovant, issu d’une recherche-action, mis en place en formation initiale de masso-kinésithérapie (MK), visant à stimuler la réflexivité des étudiants en situation clinique. Il s’inscrit dans l’ingénierie didactique professionnelle qui vise à articuler des analyses du travail pour la formation, et des analyses de la formation pour le travail. L’innovation pédagogique s’est notamment appuyée sur la modélisation systémique « penser-dire-faire-observer/écouter » qui vise l’analyse des activités d’ajustement. L’objectif pédagogique visé est l’analyse réflexive de situations vécues en stage et la mise en lumière des indicateurs sur lesquels les étudiants s’appuient pour réaliser leur activité professionnelle avec le patient. Objectif : Comprendre comment les étudiants en MK s’ajustent face aux patients qu’ils rencontrent en stage et quelles analyses réflexives ils en font, afin de favoriser des prises de conscience et l’émergence de stratégies d’action. Méthodes : Cette recherche appréhende une séquence pédagogique de quatre journées, dont l’une des originalités est le croisement de regards entre des cadres théoriques des sciences de l’éducation et de la formation (SDEF) et des cadres théoriques de la formation des masseurs-kinésithérapeutes. Les traces d’activités produites à l’issue de ce dispositif ont été étudiées à partir des productions écrites de travaux de groupes (enregistrement des diapositives), des supports des présentations orales ou des remarques dans les échanges (prises de notes des formateurs). Résultats : Le détour réalisé grâce à ce dispositif innovant d’analyse des co-ajustements permet d’amorcer un virage réflexif des étudiants et de les rendre sensibles et attentifs à des éléments singuliers transmis par le patient et produits au cours de la séance, que ce soit par le contact corporel ou par les interactions langagières. Conclusion : Avec l’intégration universitaire en cours, les deux approches « santé » et issues des sciences de l’éducation et de la formation se complètent et peuvent s’enrichir réciproquement de ces collaborations dans un rapport gagnant-gagnant.