bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robotic exoskeleton embodiment in post-stroke hemiparetic patients: an experimental study about the integration of the assistance provided by the REFLEX knee exoskeleton
Authors: Lora-Millan Julio Salvador , Sanchez-Cuesta Francisco José , Romero Juan Pablo , Moreno Juan C. , Rocon Eduardo 
Published: December 2023

AbstractHemiparetic gait is the most common motor-disorder after stroke and, in spite of rehabilitation efforts, it is persistent in 50% of community dwelling stroke-survivors. Robotic exoskeletons have been proposed as assistive devices to support impaired joints. An example of these devices is the REFLEX knee exoskeleton, which assists the gait of hemiparetic subjects and whose action seems to be properly embodied by stroke survivors, who were able to adapt the motion of their non-assisted limbs and, therefore, reduce their compensation mechanisms. This paper presents an experimental validation carried out to deepen into the effects of REFLEX’s assistance in hemiparetic subjects. Special attention was paid to the effect produced in the muscular activity as a metric to evaluate the embodiment of this technology. Significant differences were obtained at the subject level due to the assistance; however, the high dispersion of the measured outcomes avoided extracting global effects at the group level. These results highlight the need of individually tailoring the action of the robot to the individual needs of each patient to maximize the beneficial outcomes. Extra research effort should be done to elucidate the neural mechanisms involved in the embodiment of external devices by stroke survivors.
Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
Authors: Biswas Antara , Sahoo Sarthak , Riedlinger Gregory M. , Ghodoussipour Saum , Jolly Mohit K. , De Subhajyoti 
Published: December 2023

AbstractIntra-tumor heterogeneity contributes to treatment failure and poor survival in urothelial bladder carcinoma (UBC). Analyzing transcriptome from a UBC cohort, we report that intra-tumor transcriptomic heterogeneity indicates co-existence of tumor cells in epithelial and mesenchymal-like transcriptional states and bi-directional transition between them occurs within and between tumor subclones. We model spontaneous and reversible transition between these partially heritable states in cell lines and characterize their population dynamics. SMAD3, KLF4 and PPARG emerge as key regulatory markers of the transcriptional dynamics. Nutrient limitation, as in the core of large tumors, and radiation treatment perturb the dynamics, initially selecting for a transiently resistant phenotype and then reconstituting heterogeneity and growth potential, driving adaptive evolution. Dominance of transcriptional states with low PPARG expression indicates an aggressive phenotype in UBC patients. We propose that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.
Noninvasive measurement of 13Carbon turnover for evaluation of porcine renal grafts during ex vivo machine perfusion
Authors: Minor Thomas , Malkus Laura , Zlatev Hristo , Lüer Bastian , von Horn Charlotte 
Published: December 2023

Abstract
Background
Kidney transplantation suffers from a shortage of donor organs. Despite this, a lot of grafts are discarded due to inadequate quality. As many kidneys are afflicted by transient filtration failure early after preservation, classical renal function tests are not applicable to differentiate between prospective recovery or continuing deficit of renal function.

Methods
Using normothermic machine perfusion as a platform for pre-implantation evaluation of the graft, we present a novel evaluative approach based on the metabolic turnover of 13C-acetate during isolated perfusion. After injection of the tracer, 13CO2 as a metabolic end-product can be quantified by high-precision laser-based spectroscopy in the gas outflow of the oxygenator. Three groups of porcine kidneys with graduated ischemic injury were investigated.

Results
This quantitative approach is able to discriminate acceptable quality kidneys, most likely to recover within days from poor kidney grafts that are unlikely to regain notable glomerular function with high discriminatory power (area under the ROC curve 0.91; P < 0.001 By contrast, conventional renal function tests are rather ineffective under these circumstances.

Conclusions
This assessment method offers the potential to quantitatively assess donor kidney quality using a measurable output, salvaging donors that would otherwise have been discarded.
Preparation, properties and biomedical applications progress of 1D magnetic nanomaterials with iron
Authors: Huang Zhongbing , Wang Juan , Pu Ximing , Yin Guangfu 
Published: December 2023

Abstract1D magnetic nanomaterials with iron, with the special physical properties and biological behaviour, have been found to possess the great promising applications in many fields. In this review, the components, structure, physicochemical properties, biocompatibility and in vitro and in vivo biomedical functions of magnetic nanowires (MNWs), nanorods (MNRs) with iron are summarised, especially their anisotropy shape and magnetism result in their many applications in biodetections and medical treatment fields. The potential future functions of these 1D magnetic nanomaterials compared to magnetic nanoparticles also is discussed by highlighting the possibility of integration with other metal‐compositions or bio‐compositions and with existing biotechnology as well as by pointing out their specific properties. Current limitations in the property improvement and issues related with the outcome of the MNRs in the body are also summarised in order to address the remaining challenge for the extended biomedical functions of MNRs in the clinical application field.
Exploring power system flexibility regulation potential based on multi‐base‐station cooperation self‐optimising sleep strategy for 5G base stations
Authors: Ma Xiaoyan , Mu Yunfei , Jia Hongjie , Li Ming , Long Yu , Huang Qifeng , Jiang Xinyang 
Published: December 2023

Abstract5G base stations (BSs) are potential flexible resources for power systems due to their dynamic adjustable power consumption. However, the ever‐increasing energy consumption of 5G BSs places great pressure on electricity costs, and existing energy‐saving measures do not fully utilise BS wireless resources in accordance with dynamic changes in communication load, resulting in flexible resource waste and seriously limiting electricity cost savings for 5G BSs. A multi‐BS cooperation self‐optimising sleep strategy for 5G BSs that consists of an initial user association stage based on multi‐BS cooperation (MBSC) and a self‐optimising variable‐threshold sleep stage (SVTS). First, a heterogeneous cellular network (HCN) model is established. Then, a 5G BS economic optimisation model is constructed, which aims at minimising the electricity cost of the BSs and takes the BS and user equipment (UEs) states in the HCN model as constraints to clarify the optimisation objective and constraints for the proposed strategy. Furthermore, BSs are initially associated with UEs through MBSC, and idle and lightly loaded BSs are then maximally put to sleep through SVTS to reduce power and energy consumption and thereby realise economic optimisation of the BSs. Finally, simulations are conducted to validate the proposed strategy and illustrate the ability of 5G BSs to provide flexible resource regulation for power systems.
Squeeze‐film damping model of perforated plate considering border effect
Authors: Lu Cunhao , Zhang Zeyuan , Liu Wei , Chen Jian 
Published: December 2023

AbstractThe squeeze‐film damping (SQFD) is an important dissipation mechanism of Micro‐Electro‐Mechanical Systems resonators. The current SQFD models of perforated plates treat borders of plate and holes as the constant pressure boundary, without considering border effect. In this paper, the border effect on SQFD is studied by expanding simulation area. At the same time, based on the research of non‐perforated plate border effect, the calculation size of the perforated plate hole cell is modified, and the modified SQFD model of the perforated plate has been built. Compared with simulation results, it shows the border effect has a great influence on SQFD of perforated plate. The precision of the modified model is higher than that of recent models. For a rectangular plate, the maximum error of the modified model is 12%, while for the recent model it is 40%. For a circular plate, the modified model is 38%, while the recent model is 58%.
Predicting the magnitude and timing of peak electricity demand: A competition case study
Authors: Donaldson Daniel L. , Browell Jethro , Gilbert Ciaran 
Published: December 2023

AbstractAs weather dependence of the electricity network grows, there is an increasing need to predict the time at which the network peak load will occur. Improving forecasts of peak hour can lead to more accurate scheduling of generation as well as the ability to use flexibility to improve system utilisation or defer capital investment. While there are extensive benchmark models for forecasting electricity demand, their efficacy at forecasting the time or shape of the peak remains to be seen. Global forecasting competitions provide a unique opportunity to compare multiple methodologies under common performance criteria and incentives. The methodology and results are detailed from the Big Data and Energy Analytics Laboratory Challenge 2022 used by the team ‘peaky‐finders’ and investigates the suitability of using hourly methods to forecast daily peak magnitude, time, and shape. The resulting approach provides a reproducible ensemble benchmark against which to evaluate more complex methods. Results indicate that simple regression techniques can perform well and outperform more complicated methods during seasons with low hourly variability, however ensemble methods show higher accuracy overall. The results also highlight the significant impact of extreme weather on forecast accuracy, demonstrating the importance of forecasting processes that are resilient to extreme weather.
A novel blind detection algorithm for successive interference cancellation in non‐orthogonal multiple access system
Authors: Liu Jia , Zhang Hao , Wang Bo 
Published: December 2023

AbstractThis paper considers a Non‐Orthogonal Multiple Access (NOMA) network, in which base station transmits a data packet by multi‐user superposition to a destination. In this system, Successive Interference Cancellation (SIC) receiver is used to eliminate the co‐channel interference. Some physical layer parameters, such as modulation order and precoding matrix indicator (PMI), are required for the SIC receiver to separate the overlapped signals. However, an abundance of parameters would bring a large number of signalling overhead. To reduce the signalling overhead, some of these parameters can be blindly detected instead of signalling notification. To detect these kinds of parameters, a novel blind detection algorithm is proposed in this paper. Firstly, feature extraction based on wavelet cluster is introduced to obtain feature information from received data. Then a filter is designed to reduce the interference among these features. Theoretical analysis and simulation results show that the proposed algorithm achieves high detection performance under the computation complexity of approximate the max‐log likelihood algorithm.
Identification of new nearby white dwarfs using Gaia DR3
Authors: Golovin Alex , Reffert Sabine , Vani Akash , Bastian Ulrich , Jordan Stefan , Just Andreas 
Published: December 2023

Context. A volume-complete sample of white dwarfs is essential for statistical studies of the white dwarf population. The sample of nearby white dwarfs is the only one that allows the faint end of the luminosity function to be probed and thus is the only one that covers the entire range of white dwarf ages. However, due to their intrinsic faintness, even nearby white dwarfs are difficult to identify.
Aims. Our work focuses on improving the completeness and purity of the white dwarf census within 50 pc of the Sun. To accomplish this, we used Gaia Data Release 3 (Gaia DR3) to identify and characterise new and previously overlooked white dwarfs in the solar neighbourhood. We also identify objects with spurious astrometric solutions in Gaia DR3 but claimed as high-confidence white dwarfs in the Gaia Catalogue of White Dwarfs (GCWD21) by Gentile Fusillo et al. (2021, MNRAS, 508, 3877).
Methods. Based on the astrometry and photometry in Gaia DR3, we identified new nearby white dwarfs and validated those that had been missed from recent white dwarf catalogues despite being previously documented. To ensure the reliability of their astrometric solutions, we used a cut on just two parameters from Gaia DR3: the amplitude of the image parameter determination goodness-of-fit and the parallax-over-error ratio. In addition, we imposed photometric signal-to-noise requirements to ensure the reliable identification of white dwarfs when using the colour-magnitude diagram.
Results. We have identified nine previously unreported white dwarfs within the local population of 50 pc, and validated 21 previously reported white dwarfs missing from the GCWD21 and other recent volume-limited white dwarf samples. A few of these objects belong to the rare class of ultra-cool white dwarfs. Four white dwarfs in our sample have an effective temperature of Teff ≤ 4000 K within the 1σ interval, and two of them have an absolute magnitude of MG > 16.0 mag. The identified white dwarfs are predominantly located in crowded fields, such as near the Galactic plane or in the foreground of the Large Magellanic Cloud. We also find that 20 of these white dwarfs have common proper motion companions with angular separations ranging from 1.1″ to 7.1″ and brightness differences between the components of up to 9.8 magnitudes. One of these systems is a triple system consisting of a white dwarf and two K dwarfs, while another is a double white dwarf system. The identified white dwarfs represent a 1.3% improvement in the completeness of the 50 pc sample, resulting in a new total of 2265 known white dwarfs located within 50 pc of the Sun. We have identified 103 contaminants among the 2338 high-confidence white dwarfs in the 50 pc subsample of the GCWD21 and have found that their astrometric solutions in Gaia DR3 are spurious, improving the purity by 4.4%.
KiDS-1000 cosmology: Combined second- and third-order shear statistics
Authors: Burger Pierre A. , Porth Lucas , Heydenreich Sven , Linke Laila , Wielders Niek , Schneider Peter , Asgari Marika , Castro Tiago , Dolag Klaus , Harnois-Déraps Joachim , Hildebrandt Hendrik , Kuijken Konrad , Martinet Nicolas 
Published: December 2023

Aims. In this work, we perform the first cosmological parameter analysis of the fourth release of Kilo Degree Survey (KiDS-1000) data with second- and third-order shear statistics. This paper builds on a series of studies aimed at describing the roadmap to third-order shear statistics.
Methods. We derived and tested a combined model of the second-order shear statistic, namely, the COSEBIs and the third-order aperture mass statistics 〈ℳap3〉 in a tomographic set-up. We validated our pipeline with N-body mock simulations of the KiDS-1000 data release. To model the second- and third-order statistics, we used the latest version of HMCODE2020 for the power spectrum and BIHALOFIT for the bispectrum. Furthermore, we used an analytic description to model intrinsic alignments and hydro-dynamical simulations to model the effect of baryonic feedback processes. Lastly, we decreased the dimension of the data vector significantly by considering only equal smoothing radii for the 〈ℳap3〉 part of the data vector. This makes it possible to carry out a data analysis of the KiDS-1000 data release using a combined analysis of COSEBIs and third-order shear statistics.
Results. We first validated the accuracy of our modelling by analysing a noise-free mock data vector, assuming the KiDS-1000 error budget, finding a shift in the maximum of the posterior distribution of the matter density parameter, ΔΩm < 0.02 σΩm, and of the structure growth parameter, ΔS8 < 0.05 σS8. Lastly, we performed the first KiDS-1000 cosmological analysis using a combined analysis of second- and third-order shear statistics, where we constrained Ωm = 0.248−0.055+0.062 and S8 = σ8√(Ωm/0.3 )= 0.772 ± 0.022. The geometric average on the errors of Ωm and S8 of the combined statistics decreases, compared to the second-order statistic, by a factor of 2.2.
Updates zur chronisch nichtbakteriellen Osteomyelitis (CNO)
Authors: Hahn Gabriele , Hedrich Christian M. 
Published: December 2023

ZUSAMMENFASSUNGDie chronisch nichtbakterielle Osteomyelitis (CNO) ist eine nicht infektiöse, (auto)-inflammatorische Knochenerkrankung, die zumeist Kinder und Jugendliche betrifft. Das klinische Bild reicht von singulären, manchmal selbstlimitierten Knochenherden bis zu chronisch aktiven oder rekurrierenden multifokalen Verläufen mit Hyperostosen und/oder Frakturen. Wichtige Differenzialdiagnosen beinhalten Infektionen, maligne und benigne Tumoren sowie Stoffwechselerkrankungen. In den letzten Jahren wurden signifikante Fortschritte im Verständnis der molekularen Pathophysiologie gemacht, die das Ansprechen auf Therapien erklären und neue therapeutische Ansatzpunkte ins Spiel bringen. Dieser Artikel fasst neueste Erkenntnisse zusammen und diskutiert das diagnostische und therapeutische Herangehen der Autoren im Kontext der vorliegenden Literatur.
Therapierefraktäre Verläufe beim juvenilen systemischen Lupus erythematodes
Authors: Tenbrock Klaus 
Published: December 2023

ZUSAMMENFASSUNGDie Behandlung des juvenilen systemischen Lupus erythematodes ist komplex und abhängig von der Organmanifestation. Es gibt keine konsentierten Empfehlungen, was die Definition einer therapierefraktären Erkrankung betrifft. Insofern ist es zunächst sinnvoll, Therapieziele zu definieren, die man z. B. im Sinne eines Treat-to-Target (T2T)-Konzeptes erreichen möchte und ausgehend von diesen dann die Refraktärität zu definieren. In diesem Artikel wird das Konzept der Therapierefraktärität diskutiert, das T2T-Konzept erläutert und es werden aktuelle und zukünftige Therapieoptionen diskutiert, die bei Nichterlangen des Therapieziels eingesetzt werden können.
Surgical Management of Pachyonychia Congenita in a 3-Year-Old
Authors: Sudduth Jack D. , Clinker Christopher , Holdaway Matthew , Marquez Jessica L. , Veith Jacob , Wright Thomas , Rockwell W. Bradford 
Published: December 2023

AbstractPachyonychia congenita is a rare genetic disorder characterized by hypertrophic nail plates, hyperkeratotic nail beds, and thickened hyponychium of the fingers and toes, impairing manual dexterity and resulting in poor aesthetics. The current body of literature describes various treatment modalities, but no singular approach has been defined as the gold standard. In this case, the authors employed different surgical techniques for treating pachyonychia congenita to evaluate the most effective approach. A 3-year-old boy presented with hypertrophic nail growth involving all digits of both hands and feet. Three surgical procedures were performed on the patient's fingers and toes using germinal matrix excision (GME) alone, GME plus partial sterile matrix excision (pSME), or GME plus complete sterile matrix excision (cSME). The digits treated with GME + cSME exhibited no recurrence of nail growth. Those treated with GME alone exhibited recurrence of hypertrophic nail growth, although their growth slowed. Excision of GME + cSME prevented recurrence of hypertrophic nails, while GME alone or with pSME led to slower-growing hypertrophic nails. Complete excision of the germinal and sterile matrices with skin graft closure may be a definitive treatment for pachyonychia congenita, but further studies are needed to validate these findings.
Recontextualizing Nouvelle Vague cinema in Québec
Authors: Díaz-Cintas Jorge , Mus Francis 
Published: December 2023

Abstract
In this contribution, we examine the relationship between text and context in multimodal translation practices by
focusing on the Québécois film À tout prendre (1963; directed by Claude Jutra) and its English version,
Take It All (translated by Leonard Cohen). The first two sections provide contextual information, while Section 3 is dedicated to a comparative analysis, in which a more central role is given to the
film itself and to the archival documents (such as draft versions of the French script and the English translation). On the whole,
Take It All results from a complex interplay of factors: the overuse of reduction (condensation and deletion)
despite the absence of spatial or temporal limitations; Cohen’s limited translation experience, combined with his influential
profile as an artist; and the assumed intended target audience. The subtitles serve as an ancillary device, offering a minimalist
representation of the original dialogue. Regarding the linguistic transfer itself, no misunderstandings have been encountered,
although the translation can be said to diverge substantially from the original in numerous respects. Consequently, the English
version exhibits a less intricate network of interrelationships and it can be argued that the subtitles have not significantly
contributed to the film’s internationalization journey.
Mentor initialed multiparty hierarchical joint remote preparation of an arbitrary n-qudit state via generalized Bell states
Authors: Jing Rui-Heng , Huang Yu-Bin , Bi An-An , Luo Wen-Wen , Zhou Ping , Lan Qi 
Published: December 2023

Abstract
We propose a protocol to Mentor initiated hierarchical joint remote prepare the arbitrary n-qudit state with generalized Bell states.The agents share generalized Bell states with the Mentor. The Mentor performs five-qudit projective measurements on his entangled particles to initiate the quantum channel shared by the agents. All the senders share the information of the prepared state and make quantum measurements on their particles based on the state to be prepared. The agent in the upper grade needs only the assistance of one of the agents in the lower grade to reconstruct the original state, while the agents in the lower grade need the assistance of all the other agents to recover the original state. It is more convenient in application than others since the agents in the protocol only requires two-particle entanglement for Mentor initiated hierarchical joint remote preparation of an arbitrary n-qudit state.
ZnS nanocrystallites as fluorescent probe for selective detection of bilirubin
Authors: Jibin P O , Jose Manjusha Rose , Ann Mary K A 
Published: December 2023

Abstract
Selective determination of bilirubin is much essential to identify neonatal hyperbilirubinemia. Herein, we present a simple and precise method for quantitative measuring of bilirubin levels using polyvinylpyrrolidone (PVP) capped ZnS nanocrystallites (ZSP). The crystalline structure and purity are studied from x-ray diffraction (XRD) patterns and the transmission electron microscope (TEM) images. The optical characteristics are analyzed using UV-visible absorption and photoluminescence spectra. For ZSP, the estimated value for the optical band gap is 4.06 eV, surpassing the band gap value of uncapped ZnS (3.89 eV). Upon 265 nm excitation, ZSP nanocrystallites exhibits blue emission peaked at 371 nm wavelength. The fluorescence intensity shows a consistent reduction as the bilirubin concentration rises from 3.0 μM to 80 μM. The spectral overlap between the emission spectrum of ZSP and the absorption spectrum of bilirubin, results in fluorescence attenuation due to the inner filter effect (IFE). The ZnS nanocrystallites exhibit remarkable fluorescence properties and demonstrate high sensitivity in detecting bilirubin, achieving a limit of detection (L.O.D) as low as 56 nM. The selectivity of bilirubin over certain co-existing biomolecules is also analyzed. The utility of the fluorescence probe for practical use is confirmed in spiked human serum and urine samples.