bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of air pollutant concentrations based on TCN-BiLSTM-DMAttention with STL decomposition
Authors: Li Wenlin , Jiang Xuchu 
Published: March 2023

AbstractA model with high accuracy and strong generalization performance is conducive to preventing serious pollution incidents and improving the decision-making ability of urban planning. This paper proposes a new neural network structure based on seasonal–trend decomposition using locally weighted scatterplot smoothing (Loess) (STL) and a dependency matrix attention mechanism (DMAttention) based on cosine similarity to predict the concentration of air pollutants. This method uses STL for series decomposition, temporal convolution, a bidirectional long short-term memory network (TCN-BiLSTM) for feature learning of the decomposed series, and DMAttention for interdependent moment feature emphasizing. In this paper, the long short-term memory network (LSTM) and the gated recurrent unit network (GRU) are set as the baseline models to design experiments. At the same time, to test the generalization performance of the model, short-term forecasts in hours were performed using PM2.5, PM10, SO2, NO2, CO, and O3 data. The experimental results show that the model proposed in this paper is superior to the comparison model in terms of root mean square error (RMSE) and mean absolute percentage error (MAPE). The MAPE values of the 6 kinds of pollutants are 6.800%, 10.492%, 9.900%, 6.299%, 4.178%, and 7.304%, respectively. Compared with the baseline LSTM and GRU models, the average reduction is 49.111% and 43.212%, respectively.
AMMI-Bayesian perspective in the selection of pre-cultivars of carioca beans in Agreste-Sertão of Pernambuco, Brazil
Authors: de Melo Gérsia Gonçalves , de Oliveira Luciano Antonio , da Silva Carlos Pereira , da Silva Alessandra Querino , Nascimento Maxwel Rodrigues , de Sousa Gonçalves Ranoel José , dos Santos Paulo Ricardo , da Costa Antônio Félix , Queiroz Damião Ranieri , da Silva José Wilson 
Published: March 2023

AbstractThe productivity of beans is greatly influenced by the different edaphoclimatic conditions in the Agreste-Sertão region, requiring the identification of adapted and stable genotypes to minimize the effects of the interaction between genotypes per environments (GxE). The objective of this work was to analyze the adaptability and stability of carioca bean pre-cultivars in three municipalities in the Agreste-Sertão of Pernambuco using the AMMI model in its Bayesian version BAMMI and compare the results with the frequentist approach. According to the results, the BAMMI analysis showed better predictive capacity, as well as better performance in the study of adaptability and stability. The cultivar BRS Notável stood out in terms of main effect and stability. Adaptability of genotypes to specific locations was also observed, enabling the use of the positive effect of the GxE interaction, which was more evident with the BAMMI model. From this work, the flexibility of BAMMI model to deal with data resulting from multi-environmental experiments can be seen, overcoming limitations of the standard analysis of the AMMI model.
Admissible transformation approach to Roesser state‐space model realization of singular multidimensional systems
Authors: Zhao Dongdong , Huo Kaige , Xu Li , Galkowski Krzysztof , Sulikowski Bartlomiej , Yan Shi 
Published: March 2023

AbstractThe problem of the singular Roesser (state‐space) model realization of non‐causal multivariate transfer (function) matrices is investigated. Specifically, the notion of so‐called admissible transformation is introduced, which allows to introduce and investigate a novel invariant matrix relationship on polynomial matrices. The singular multidimensional Roesser model (SNDRM) realization is transformed to the problem of how to reduce an initial polynomial matrix associated with the given transfer matrix into the objective polynomial matrix with a specific structure. Construction procedures are developed to obtain SNDRMs by applying admissible transformations on the initial polynomial matrix. Moreover, a separated standard form is introduced for an SNDRM so that the proposed approach can effectively treat both the left and right matrix fractional descriptions of a non‐causal multivariate transfer matrix in a unified manner. Non‐trivial examples are provided to illustrate the details and effectiveness of the proposed approach.
A runaway T Tauri star leaving an extended trail
Authors: Martí Josep , Luque-Escamilla Pedro L. , Sánchez-Ayaso Estrella 
Published: March 2023

Aims.We address the problem of young stellar objects that are found too far away from possible star formation sites. Different mechanisms have been proposed before to explain this unexpected circumstance. The idea of high-velocity protostars is one of these mechanisms, although observational support is not always easy to obtain. We aim to shed light on this issue after the serendipitous discovery of a related stellar system.Methods.Following the inspection of archival infrared data, a peculiar anonymous star was found that apparently heads a long tail that resembles a wake-like feature. We conducted a multiwavelength analysis including photometry, astrometry, and spectroscopy. Together with theoretical physical considerations, this approach provided a reasonable knowledge of the stellar age and kinematic properties, together with compelling indications that the extended feature is indeed the signature of a high-velocity, or runaway, newborn star.Results.Our main result is the discovery of a low-mass young stellar object that fits the concept of a runaway T Tauri star that was hypothesized several decades ago. In this peculiar star, nicknamed UJT-1, the interaction of the stellar wind with the surrounding medium becomes extreme. Under reasonable assumptions, this unusual degree of interaction has the potential to encode the mass-loss history of the star on timescales of several ∼105years.
LUNA measurement found no evidence of a low-energy resonance in 6Li(p, γ)7Be reaction
Authors: Piatti D. 
Published: March 2023

The 6Li(p, γ)7Be reaction is mainly at work in three nucleosynthesis scenarios: Big Bang Nucleosynthesis, 6Li depletion in pre-main and in main sequence stars and cosmic ray interaction with interstellar matter. The 6Li(p, γ)7Be S-factor trend was poorly constrained at astrophysical energies because of conflicting experimental results reported in literature. A recent direct measurement, indeed, found a resonance-like structure at Ec.m. = 195 keV, corresponding to an excited state at Ex ∼ 5800 keV in 7Be which, however, has not been confirmed by either other direct measurements or predicted by theoretical calculations.
In order to clarify the existence of this resonance, a new experiment was performed at the Laboratory for Underground Nuclear Astrophysics (LUNA), located deep underground in Gran Sasso Laboratory. Thanks to the extremely low background environment, the 6Li(p, γ)7Be cross section was measured in the center-of-mass energy range E = 60-350 keV with unprecedented sensitivity.
No evidence for the alleged resonance was found. LUNA results was confirmed by latest published indirect determination of 6Li(p, γ)7Be S-factor and it is supported by a recent theoretical study.
KCNQ2-Related Epilepsy: Genotype–Phenotype Relationship with Tailored Antiseizure Medication (ASM)—A Systematic Review
Authors: Falsaperla Raffaele , Criscione Roberta , Cimino Carla , Pisani Francesco , Ruggieri Martino 
Published: March 2023

Abstract
Background Autosomal dominant mutations of the KCNQ2 gene can cause two epileptic disorders: benign familial neonatal seizures (BFNS) and developmental epileptic encephalopathy (DEE). This systematic review aims to identify the best reported therapy for these patients, relating to phenotype, neurodevelopmental outcome, and an eventual correlation between phenotype and genotype.
Methods We searched on PubMed using the search terms “KCNQ2” AND “therapy” and “KCNQ2” AND “treatment”; we found 304 articles. Of these, 29 met our criteria. We collected the data from 194 patients. All 29 articles were retrospective studies.
Results In all, 104 patients were classified as DEE and 90 as BFNS. After treatment began, 95% of BFNS patients became seizure free, whereas the seizures stopped only in 73% of those with DEE. Phenobarbital and sodium channel blockers were the most used treatment in BFNS. Most of the DEE patients (95%) needed polytherapy for seizure control and even that did not prevent subsequent developmental impairment (77%).Missense mutations were discovered in 96% of DEE patients; these were less common in BFNS (50%), followed by large deletion (16%), truncation (16%), splice donor site (10%), and frameshift (7%).
Conclusion Phenobarbital or carbamazepine appears to be the most effective antiseizure medication for children with a “benign” variant. On the contrary, polytherapy is often needed for DEE patients, even if it does not seem to improve neurological outcomes. In DEE patients, most mutations were located in S4 and S6 helix, which could serve as a potential target for the development of more specific treatment in the future.
Two-point optical manipulation reveals mechanosensitive remodeling of cell–cell contacts in vivo
Authors: Nishizawa Kenji , Lin Shao-Zhen , Chardès Claire , Rupprecht Jean-François , Lenne Pierre-François 
Published: March 2023

Biological tissues acquire reproducible shapes during development through dynamic cell behaviors. Most of these behaviors involve the remodeling of cell–cell contacts. During epithelial morphogenesis, contractile actomyosin networks remodel cell–cell contacts by shrinking and extending junctions between lateral cell surfaces. However, actomyosin networks not only generate mechanical stresses but also respond to them, confounding our understanding of how mechanical stresses remodel cell–cell contacts. Here, we develop a two-point optical manipulation method to impose different stress patterns on cell–cell contacts in the early epithelium of the
Drosophila
embryo. The technique allows us to produce junction extension and shrinkage through different push and pull manipulations at the edges of junctions. We use these observations to expand classical vertex-based models of tissue mechanics, incorporating negative and positive mechanosensitive feedback depending on the type of remodeling. In particular, we show that Myosin-II activity responds to junction strain rate and facilitates full junction shrinkage. Altogether our work provides insight into how stress produces efficient deformation of cell–cell contacts in vivo and identifies unanticipated mechanosensitive features of their remodeling.
3D infrared temperature maps measurements of ablative materials during plasma wind tunnel experiments
Authors: Fagnani Andrea , Helber Bernd , Hubin Annick , Chazot Olivier 
Published: March 2023

Abstract
Accurate surface temperature and recession measurements are crucial experimental data for plasma wind tunnel testing of ablative thermal protection materials. In this work we propose a novel methodology to reconstruct infrared temperature maps on 3D geometries undergoing surface recession. An optical calibration technique is used to extract 3D metric information from the 2D thermal images, thanks to a specific calibration target with control points. The evolution of the sample shape during the experiment is tracked from a side view, using a visual-range camera with dedicated image processing, and reconstructed in 3D under the assumption of axisymmetry. The surface temperature is projected on the time-varying 3D geometry from the calibrated thermograms. The technique is demonstrated on a graphite ablation experiment in air plasma. The reconstructed maps provide detailed multidimensional information about the transient temperature evolution, overcoming traditional approaches that are limited around the stagnation point. The technique allows to study ablation mechanisms with further detail, improving experimental data for material qualification and validation of simulation codes.
Spin pumping through nanocrystalline topological insulators
Authors: Burn David M , Lin Jheng-Cyuan , Fujita Ryuji , Achinuq Barat , Bibby Joshua , Singh Angadjit , Frisk Andreas , van der Laan Gerrit , Hesjedal Thorsten 
Published: March 2023

Abstract
The topological surface states (TSSs) in topological insulators (TIs) offer exciting prospects for dissipationless spin transport. Common spin-based devices, such as spin valves, rely on trilayer structures in which a non-magnetic layer is sandwiched between two ferromagnetic (FM) layers. The major disadvantage of using high-quality single-crystalline TI films in this context is that a single pair of spin-momentum locked channels spans across the entire film, meaning that only a very small spin current can be pumped from one FM to the other, along the side walls of the film. On the other hand, using nanocrystalline TI films, in which the grains are large enough to avoid hybridization of the TSSs, will effectively increase the number of spin channels available for spin pumping. Here, we used an element-selective, x-ray based ferromagnetic resonance technique to demonstrate spin pumping from a FM layer at resonance through the TI layer and into the FM spin sink.
Microwave generation from betatron oscillation of slow electron beam in DC cross-fields configuration
Authors: Lin H , Liu C P 
Published: March 2023

Abstract
A high-efficiency mechanism of microwave (MW) generation from slow electron beam (e-beam) is investigated in details. Space-inhomogeneous density profile of the e-beam enables its current vortex profile ∇ × j easy to be modified significantly by external fields. Suitable DC cross-fields configuration can modify time behavior of the ∇ × j of an e-beam from monotonically-varying to oscillatory. Under available not-too-severe values of beam peak density and beam drifting velocity, such a time-oscillatory current vortex can be tuned to have a narrow-spectrum around a desired central frequency within a broad range from MHz to Thz. The mechanism is applicable to slow non-relativistic e-beam and hence does not need bulky cooling component and high-voltage component. This favors the whole vacuum electron devices (VEDs) to be compact enough without at the cost of lower output power.
A new fractional-order complex chaotic system with extreme multistability and its implementation
Authors: Ren Lujie , Li Shu , Banerjee Santo , Mou Jun 
Published: March 2023

Abstract
In this paper, a new fractional-order complex chaotic system (FOCCS) is proposed and studied. Firstly, the dissipativity and stability are discussed. Secondly, the dynamical characteristics of the system with parameters and order changes are analyzed by using phase diagrams, Lyapunov exponent (LEs) and bifurcation diagrams, respectively. In addition, the dynamical behavior is discussed for q of integer and fractional orders. In particular, the attractor coexistence is found, such as the coexistence of chaotic attractor and chaotic attractor, and chaotic attractor and periodic attractor. Interestingly, the multiple attractors coexistence is found by changing the initial conditions with fixed parameters. Finally, it is implemented on the analog circuit and DSP platform. The study provide a reference for the research and application of chaos.
Radiation damage on the performance of a silicon photomultiplier-coupled Cs2LiYCl6:Ce3+ detector
Authors: Wang Q. , Luo Y. , Dai H. , Yang H. , Deng C. , Tuo X. , Niu J. , Xie B. 
Published: March 2023

Abstract
A silicon photomultiplier (SiPM) coupled
Cs2LiYCl6:Ce3+ (CLYC) detector was developed for
neutron detection in the narrow, mixed radiation field. Studies show
that the SiPM and scintillator will suffer a certain degree of
damage in high-intensity irradiation environments. To evaluate the
effects of the radiation damage, the detector was exposed to a
zero-power research reactor. The thermal neutron exposures ranged
from 0 up to 7.60 × 107 n/cm2. The performance
specifications on the gamma ray and thermal neutron pulses,
6Li(n, α)3H thermal neutron peaks, energy
resolutions, and pulse shape discrimination were analyzed. The
results showed that the standard gamma ray and thermal neutron
pulses were slightly altered, the thermal neutron peak centroid
reduced by 40%, the energy resolution of the
6Li(n, α)3H thermal neutron peak deteriorated from
15% to 21%, and the figure of merit of pulse shape discrimination
decreased from 1.41 to 1.16. These variation curves can be applied
to evaluate and correct the detector irradiation damage.
On the local finite separability of finitely generated associative rings
Authors: Kublanovskii S. 
Published: March 2023

It is proved that analogs of the theorems of M. Hall and N. S. Romanovskii are not true in the class of commutative rings. Necessary and sufficient conditions for the local finite separability of monogenic rings are established. As a corollary, it is proved that a finitely generated torsion-free PI-ring is locally finitely separable if and only if its additive group is finitely generated.
Nanotechnology and Artificial Intelligence: An Emerging Paradigm for Postoperative Patient Care
Authors: Del Vecchio Daniel , Stein Michael J , Dayan Erez , Marte Joseph , Theodorou Spero 
Published: March 2023

Abstract

Background
An increasing number of aesthetic surgery procedures are being performed in an ambulatory fashion in office-based settings. Postoperative monitoring of these patients has historically required paid private-duty nurses measuring vital signs, encouraging ambulation, and monitoring overall comfort level. Recently, advancements in nanotechnology have permitted high-acuity data acquisition of multiple clinical parameters that can be transmitted to the surgeon's mobile device in a continuous fashion.

Objective
The aim of this study was to describe the authors’ early experience with this emerging artificial intelligence technology in the postoperative setting.

Methods
Twenty-three consecutive patients underwent radiofrequency-assisted liposuction and Brazilian butt lift surgery, and were placed in a monitoring garment, SimpleSense (Nanowear Technologies, Brooklyn, NY) postoperatively. The primary outcome was device usability, reflected by compliance with wearing the device and completeness of data collection.

Results
During the first 48 hours, 91% of patients wore the device for more than 12 hours per day. Only 39% were compliant with postoperative positioning. No postoperative events were detected.

Conclusions
The quality of data collected enables detection of clinical derangements and can alert the surgeon in real time, prompting interventions such as drug administration, position changes, or presentation to the emergency room.

Level of Evidence: 4
Mitochondrial dysfunction and calcium dysregulation in COQ8A-ataxia Purkinje neurons are rescued by CoQ10 treatment
Authors: Manolaras Ioannis , Del Bondio Andrea , Griso Olivier , Reutenauer Laurence , Eisenmann Aurélie , Habermann Bianca H , Puccio Hélène 
Published: March 2023

Abstract
COQ8A-ataxia is a rare form of neurodegenerative disorder due to mutations in the COQ8A gene. The encoded mitochondrial protein is involved in the regulation of coenzyme Q10 biosynthesis. Previous studies on the constitutive Coq8a−/− mice indicated specific alterations of cerebellar Purkinje neurons involving altered electrophysiological function and dark cell degeneration. In the present manuscript, we extend our understanding of the contribution of Purkinje neuron dysfunction to the pathology.
By generating a Purkinje-specific conditional COQ8A knockout, we demonstrate that loss of COQ8A in Purkinje neurons is the main cause of cerebellar ataxia. Furthermore, through in vivo and in vitro approaches, we show that COQ8A-depleted Purkinje neurons have abnormal dendritic arborizations, altered mitochondria function and intracellular calcium dysregulation. Furthermore, we demonstrate that oxidative phosphorylation, in particular Complex IV, is primarily altered at presymptomatic stages of the disease. Finally, the morphology of primary Purkinje neurons as well as the mitochondrial dysfunction and calcium dysregulation could be rescued by CoQ10 treatment, suggesting that CoQ10 could be a beneficial treatment for COQ8A-ataxia.
Pre-stimulus gamma power in human posteromedial cortex shows supra-modal mechanisms in predicting the amplitude and latency of task-induced suppression
Authors: Ma Jie , Shen Lu , Song Li , Guo Qiang , Parvizi Josef , Han Biao , Chen Qi 
Published: March 2023

AbstractUpon repetitively performing the same well-practiced task on identical bottom-up stimuli, our performance still varies. Although it has been well documented that elevated pre-stimulus baseline activity in the human default-mode network impairs the subsequent task performance, it remains unknown (i) the fine-grained temporal dynamics and (ii) whether the underlying neural dynamics are supra-modal or modality-specific. We utilized intracranial recordings in the human posteromedial cortex (PMC) during a simple visual and an auditory detection task. Our findings suggested that the pre-stimulus gamma power in PMC predicted the subsequent task performance. Critically, the higher the pre-stimulus gamma power, the longer it took for it to be suppressed, and the less suppressed it was during the task performance, which eventually resulted in deleterious effects on task performance, i.e. longer reaction times. These fine-grained temporal dynamics were consistent between the visual and auditory simple detection task. In addition, a direct comparison between the visual and auditory modality showed that the between-modality difference emerged during the recovery period from the maximal gamma suppression back to the baseline. Taken together, the present results contribute novel spatio-temporal mechanisms in human PMC on how simple detection performance varies across multiple repetitions, irrespective of the sensory modality involved.
Development and Validation of Novel RP-HPLC Method for the Simultaneous Estimation of Capecitabine and Thymoquinone in the Biodegradable Nanoparticles using Full Factorial Design
Authors: Raikar Prasiddhi R , Dandagi Panchaxari M , Kazi Taufik 
Published: March 2023

Abstract
An innovative RP-HPLC technique was devised to simultaneously quantify thymoquinone (TQ) and capecitabine (CAP) in newly designed polymeric nanoparticles. A unique chromatographic approach was created, optimized and validated using Design-Expert® (design of experiment) in compliance with ICH requirements. A 24 factorial design examined the influence of variables on method responses. The method found linear between 0.25 and 16 μg/mL, with an R2 value of 0.999. The detection and quantification limits for CAP were 0.05 and 0.16 μg/mL, respectively, and 0.12 and 0.38 μg/mL for TQ, respectively, and 97–100% recovery in plain drug solution and 100–102% in nanoformulation were achieved. A purposeful modification examined by analysis of variance revealed that the experimental model was significant (P = 0.0001). The total drug content in nanoformulation was 8.68 mg, and the entrapment efficiency was 84.79%. Based on the findings, it is possible to infer that the use of the Quality by Design methodology resulted in the development of a more accurate technique capable of producing consistent, dependable, high-quality data and precise in quantifying CAP and TQ in bulk and nanoparticulate systems.