bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impaired flexibility in patients with tropical spastic paraparesis/HTLV-associated myelopathy: evaluation via pendulum fleximeter
Authors: Landim Caroline , Dias Cristiane Maria Carvalho Costa , Nascimento Celso , Goes Ana Lucia Barbosa , Araújo Thessika Hialla Almeida , Ribeiro Adriele , Oliveira Francisco Tiago de , Castro-Lima Humberto , Boa-Sorte Ney , Galvão-Castro Bernardo 
Published: April 2023

Abstract
Background Flexibility is crucial to the harmonious execution of joint movements. While skeletal muscle dysfunction in patients with HTLV-1 can interfere with mobility, it is unclear whether these patients experience reduced flexibility.
Objective To evaluate the differences in flexibility between HTLV-1-infected individuals with and without myelopathy compared with uninfected controls. We also investigated whether age, sex, body mass index (BMI), physical activity level, or lower back pain influence flexibility in HTLV-1-infected individuals.
Methods The sample consisted of 56 adults, of which 15 did not have HTLV-1, 15 had HTLV-1 without myelopathy, and 26 had TSP/HAM. Their flexibility was assessed using the sit-and-reach test and a pendulum fleximeter.
Results No differences in flexibility were observed between the groups with and without myelopathy and controls without HTLV-1 infection using the sit-and-reach test. The pendulum fleximeter results of individuals with TSP/HAM presented the lowest flexibility among the groups with respect to trunk flexion, hip flexion and extension, knee flexion, and ankle dorsiflexion, even after adjusting for age, sex, BMI, level of physical activity, and lower back pain using multiple linear regression models. Additionally, HTLV-1-infected individuals without myelopathy demonstrated reduced flexibility in movements: knee flexion, dorsiflexion, and ankle plantar flexion.
Conclusions Individuals with TSP/HAM demonstrated reduced flexibility in most of the movements evaluated by the pendulum fleximeter. Additionally, HTLV-1-infected individuals without myelopathy demonstrated reduced knee and ankle flexibility, potentially representing a marker of myelopathic development.
Specificity and sensitivity of the SeLECT score in predicting late seizures in patients undergoing intravenous thrombolytic treatment and the effect of diabetes mellitus and leukoaraiosis
Authors: Dinç Yasemin , Demir Aylin Bican , Özkaya Güven , Bakar Mustafa 
Published: April 2023

AbstractBackground Seizures after stroke can negatively affect the prognosis of ischemic stroke and cause a decrease in quality of life. The efficacy of intravenous (IV) recombinant tissue plasminogen activator (rt-PA) treatment in acute ischemic stroke has been demonstrated in many studies, and IV rt-PA treatment has been increasingly used around the world. The SeLECT score is a useful score for the prediction of late seizures after stroke and includes the severity of stroke (Se), large artery atherosclerosis (L), early seizure (E), cortical involvement (C), and the territory of the middle cerebral artery (T). However, the specificity and sensitivity of the SeLECT score have not been studied in acute ischemic stroke patients that received IV rt-PA treatment.Objective In the present study, we aimed to validate and develop the SeLECT score in acute ischemic stroke patients receiving IV rt-PA treatment.Methods The present study included 157 patients who received IV thrombolytic treatment in our third-stage hospital. The 1-year seizure rates of the patients were detected. SeLECT scores were calculated.Results In our study, we found that the SeLECT score had low sensitivity but high specificity for predicting the likelihood of late seizure after stroke in patients administered IV rt-PA therapy. In addition to the SeLECT score, we found that the specificity and sensitivity were higher when we evaluated diabetes mellitus (DM) and leukoaraiosis.Conclusion We found that DM was an independent risk factor for late seizures after stroke in a patient group receiving thrombolytic therapy, and late seizures after stroke were less frequent in patients with leukoaraiosis.
Subjective impacts of computerized cognitive training for healthy older adults in the context of the COVID-19 pandemic
Authors: Viviani Cristiane Benedita Rodrigues da Mota Antunes , Ordonez Tiago Nascimento , Pereira Andreia Rodrigues , Jardim Karen de Souza , Borges Jonatas da Hora , Mota Lais Aparecida Pereira , Santos Gabriela dos , Moreira Ana Paula Bagli , Verga Cássia Elisa Rossetto , Ishibashi Graciela Akina , Silva Guilherme Alves da , Moraes Luiz Carlos de , Lessa Patrícia Prata , Gutierrez Beatriz Aparecida Ozello , Brucki Sonia Maria Dozzi , Silva Thais Bento Lima da 
Published: April 2023

Abstract
Background Computerized cognitive training programs may have benefited the self-assessment of memory, quality of life, and mood among older adults during the coronavirus disease 2019 (COVID-19) pandemic.
Objective To determine the subjective impacts of computerized cognitive training on mood, frequency of forgetfulness, memory complaints, and quality of life in the elderly using an online platform.
Methods In total, 66 elderly participants of USP 60 + , a program for the elderly offered by Universidade de São Paulo, who voluntarily enrolled in the study were selected and randomized with an allocation ratio of 1:1 into 2 groups: the training group (n = 33) and the control group (n = 33). After signing the free and informed consent form, they answered a protocol which included a sociodemographic questionnaire, the Memory Complaints Questionnaire (MAC-Q), the McNair and Kahn's Frequency of Forgetfulness Scale, the Geriatric Depression Scale (GDS-15), the Geriatric Anxiety Inventory (GAI), and the Control, Autonomy, Self-Realization, and Pleasure (CASP-19) questionnaire. The training cognitive game platform aimed to stimulate various cognitive aspects, including memory, attention, language, executive functions (reasoning, logical thinking), and visual and spatial skills.
Results The participants of the training group showed a reduction in the MAC-Q, MacNair and Kahn, and GAI scores in the pre- and posttest comparison. Significant differences were identified between the groups regarding the total scores of the MAC-Q in the post-test, which was also evidenced by the logistic regression.
Conclusion Participation in a computerized cognitive intervention promoted reductions in memory complaints, frequency of forgetfulness, and anxiety symptoms, in addition to improving self-reported quality of life.
Economic and legal approaches to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG Finance
Authors: Kazachenok Olesya P. , Stankevich Galina V. , Chubaeva Natalia N. , Tyurina Yuliya G. 
Published: April 2023

AbstractThe purpose of the article is to study the current experience and prospects of the humanization of FinTech in the economy of artificial intelligence. The research methodology is based on the use of the method of structural equation modeling (SEM). The study analyzes statistics for 2021–2022 (annual indicators). The sample included 118 countries. As a result, the modern international experience of FinTech humanization in the economy of artificial intelligence has been studied and the causal relationships of FinTech humanization in the economy of artificial intelligence through the integration of blockchain into ESG finance have been identified. The article proposes an economic and legal approach to the humanization of FinTech in the economy of artificial intelligence by integrating blockchain into ESG finance to ascertain the economic and political implications. The article contributes to the literature by clarifying the scientific provisions of the concept of the humanization of the economy. The theoretical significance of the obtained results is that the developed model (SEM) and the detailed regression equations have formed a comprehensive understanding of the patterns of humanization of FinTech. The resulting econometric model can be used to predict prospects for the development of blockchain-based ESG finance, as well as high-precision planning of state economic policy. The practical significance of the authors’ conclusions and recommendations is that they have formed a clear idea of modern barriers (“market failures” and “institutional traps”) and prospects (improvement of the institutional environment through the application of an economic and legal approach) to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG finance.
Notes in English retranslations of Mikhail Bulgakov’s The Master and Margarita
Authors: Vid Natalia Kaloh 
Published: April 2023

Abstract
This paper focuses on paratextual elements in the form of endnotes and footnotes in four annotated English
translations of Mikhail Bulgakov’s most famous novel, The Master and Margarita. The paper aims to analyze the
translators’ perception of the reader’s cultural knowledge, what the translators believe the audience might not know that they
consider important, and the translators’ ability to recognize Bulgakov’s allusions and references. The paper explores the thematic
categories and the content of the notes to evaluate how they introduce the readers to a different cultural environment and to what
extent the notes are helpful to the reader. The empirical section is based on an analysis of more than five hundred footnotes and
endnotes divided into thematic categories. The importance of notes in understanding translators’ decisions based on assumptions
about what may be unfamiliar to the target audience has been extensively researched (Toledano-Buendia 2013; Landers 2001; Sanchez Ortiz 2015; Pellatt 2013). No scholarly
attention has so far been paid to any paratextual material connected to the English translations of Bulgakov’s The Master
and Margarita, which is one of the most often retranslated works of fiction of Russian classics.
Bilateral comparison of 1.018 V and 10 V standards between DEFNAT (Tunisia) and the BIPM, April to June 2022 (part of the ongoing BIPM key comparison BIPM.EM-K11.a and b)
Authors: Solve Stephane , Chayramy Regis , Stock Michael , Zouaoui Jihène 
Published: April 2023

Main text
As part of the ongoing BIPM key comparison BIPM.EM-K11.a and b, a comparison of the 1.018 V and 10 V voltage reference standards of the BIPM and the Laboratoire de Métrologie Électrique, DEFNAT (Tunisia), was carried out from April to June 2022. Two BIPM Zener diode-based travelling standards (Fluke 732B), BIPM_E (ZE) and BIPM_F (ZF), were transported by freight to DEFNAT to be measured and back to the BIPM for checking the stability of the traveling standards. At DEFNAT, the reference standard for DC voltage is a Josephson Voltage Standard (JVS). The output EMF (Electromotive Force) of each travelling standard was measured by direct comparison with the primary standard.
The final result of the comparison is presented as the difference between the values assigned to DC voltage standards by DEFNAT, at the level of 1.018 V and 10 V, at DEFNAT, U
DEFNAT, and those assigned by the BIPM, at the BIPM, U
BIPM, at the reference date of the 15th of May 2022.

U
DEFNAT - U
BIPM = 0.03 μV; u
c = 0.03 μV, at 1.018 V

U
DEFNAT - U
BIPM = 0.44 μV; u
c = 0.12 μV, at 10 V
where u
c is the combined standard uncertainty associated with the measured difference, including the uncertainty of the representation of the volt at the BIPM and at DEFNAT, based on K
J, and the uncertainty related to the comparison.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCEM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Final report on the EURAMET key comparison EURAMET AUV.V-K5
Authors: Winther J H , Bruns Th , Schiavi A , Bilgic E , Prasil Milan , Hynek Stanislav , Siejda Z , Ruiz S , Canu A , Alsubaey F N , Hof C , Andersson H 
Published: April 2023

Main text
The results of the fifth EURAMET key comparison in the area of primary vibration calibration of the complex sensitivity, here concerning sinusoidal acceleration, are presented. This regional key comparison followed the previous CCAUV comparison over the extended frequency range from 10 Hz to 20 kHz. Measurement results reported by 11 participants for magnitude and phase shift of complex charge sensitivity of single ended and back-to-back accelerometers were compared. A link to the CCAUV.V-K5 with the respective Degrees of Equivalence is reported.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Fast D
M,M calculation in LDR brachytherapy using deep learning methods
Authors: Berumen Francisco , Enger Shirin A , Beaulieu Luc 
Published: April 2023

Abstract

Objective. The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However, long computation times limit the clinical implementation of MC-based treatment planning solutions. This work aims to apply deep learning (DL) methods, specifically a model trained with MC simulations, to predict accurate dose to medium in medium (D
M,M) distributions in LDR prostate brachytherapy. Approach. To train the DL model, 2369 single-seed configurations, corresponding to 44 prostate patient plans, were used. These patients underwent LDR brachytherapy treatments in which 125I SelectSeed sources were implanted. For each seed configuration, the patient geometry, the MC dose volume and the single-seed plan volume were used to train a 3D Unet convolutional neural network. Previous knowledge was included in the network as an r
2 kernel related to the first-order dose dependency in brachytherapy. MC and DL dose distributions were compared through the dose maps, isodose lines, and dose-volume histograms. Features enclosed in the model were visualized. Main results. Model features started from the symmetrical kernel and finalized with an anisotropic representation that considered the patient organs and their interfaces, the source position, and the low- and high-dose regions. For a full prostate patient, small differences were seen below the 20% isodose line. When comparing DL-based and MC-based calculations, the predicted CTV D
90 metric had an average difference of −0.1%. Average differences for OARs were −1.3%, 0.07%, and 4.9% for the rectum D
2cc, the bladder D
2cc, and the urethra D
0.1cc. The model took 1.8 ms to predict a complete 3D D
M,M volume (1.18 M voxels). Significance. The proposed DL model stands for a simple and fast engine which includes prior physics knowledge of the problem. Such an engine considers the anisotropy of a brachytherapy source and the patient tissue composition.
The electrical, and photosensitive behavior of diodes with rare earth elements (Yb and Er) doped sodium yttrium fluoride interfacial layer
Authors: Yiğit Evin , Sevgili Ömer , Orak İkram 
Published: April 2023

Abstract
This study presents the morphological, electrical, and photosensitive behavior properties of the Al/(NaYF

4

:Yb,Er)/p-Si structure. The (NaYF

4

:Yb,Er) used as an interfacial layer was deposited on a p-Si semiconductor using the thermal evaporation method. The surface morphological properties of the evaporated interfacial layer were examined using scanning electron microscopy and atomic force microscopy. The ideality factor of the structure increases from 3.58 at 320 K to 8.16 at 100 K with decreasing temperature, while the barrier height decreases from 0.80 eV at 320 K to 0.31 at 100 K with decreasing temperature in the same temperature range. The photosensitive behavior of the fabricated structure were investigated using UV-A lamp with 350 nm wavelength. The spectral responsivity, photosensitivity, and detectivity values for the Al/(NaYF

4

:Yb,Er)/p-Si structure were found to be 0.525 A.W−1, 2841.38, and 2.16 × 1011 Jones, respectively.
Multifunctional dielectric metasurface for independent holographic imaging and polarization imaging
Authors: Feng Junlang , Chen Wenqiong , Liu Rui , Mei Zhonglei 
Published: April 2023

Abstract
Holography is regarded as a promising imaging technology that reconstructs vivid images utilizing the principles of diffraction and interference of light. Meanwhile, grayscale imaging based on Malus’s law have been realized by manipulating polarization properties of scattering light. In this paper, we report a novel multiplexing imaging method by totally and independently controlling phase and polarization of light, which has the advantages of achieving totally independent imaging channels and being easier to be realized compared with the existing publications. As a proof of concept, a dielectric metasurface consisting of subwavelength nanobricks is designed and simulated, which operates at the wavelength of 850 nm. The simulation results indicate that when the metasurface is illuminated by a x-polarized plane wave, one grayscale image based on Malus’s law is projected on a plane 800 nm away from the metasurface, and another phase-only holographic image is reconstructed on a distant plane 8.4 um away. This method could be further applied in the fields of information encryption, multiplexing and anti-counterfeiting due to the two totally independent imaging channels.
The reconstructed CMB lensing bispectrum
Authors: Kalaja Alba , Orlando Giorgio , Bowkis Aleksandr , Challinor Anthony , Meerburg P. Daniel , Namikawa Toshiya 
Published: April 2023

Abstract
Weak gravitational lensing by the intervening large-scale structure (LSS) of the Universe is the leading non-linear effect on the anisotropies of the cosmic microwave background (CMB). The integrated line-of-sight mass that causes the distortion — known as lensing convergence — can be reconstructed from the lensed temperature and polarization anisotropies via estimators quadratic in the CMB modes, and its power spectrum has been measured from multiple CMB experiments. Sourced by the non-linear evolution of structure, the bispectrum of the lensing convergence provides additional information on late-time cosmological evolution complementary to the power spectrum. However, when trying to estimate the summary statistics of the reconstructed lensing convergence, a number of noise-biases are introduced, as previous studies have shown for the power spectrum. Here, we explore for the first time the noise-biases in measuring the bispectrum of the reconstructed lensing convergence.
We compute the leading noise-biases in the flat-sky limit and compare our analytical results against simulations, finding excellent agreement. Our results are critical for future attempts to reconstruct the lensing convergence bispectrum with real CMB data.
Numerical stochastic inflation constrained by frozen noise
Authors: Tomberg Eemeli 
Published: April 2023

Abstract
Stochastic inflation can resolve strong inflationary perturbations, which seed primordial
black holes. I present a fast and accurate way to compute these perturbations in typical black
hole producing single-field models, treating the short-wavelength Fourier modes beyond the de
Sitter approximation. The squeezing and freezing of the modes reduces the problem to one
dimension, and the resulting new form of the stochastic equations, dubbed `constrained stochastic
inflation,' can be solved efficiently with semi-analytical techniques and numerical importance
sampling. In an example case, the perturbation distribution is resolved in seconds deep into its
non-Gaussian tail, a speed-up of factor 109 compared to a previous study. Along the way, I
comment on the role of the momentum constraint in stochastic inflation.
Parametric resonances in axionic cosmic strings
Authors: Blanco-Pillado Jose J. , Jiménez-Aguilar Daniel , Queiruga Jose M. , Urrestilla Jon 
Published: April 2023

Abstract
In this letter we uncover a new parametric resonance of axionic cosmic strings.
This process is triggered by the presence on the string of internal mode excitations
that resonantly amplify the amplitude of transverse displacements of the string.
We study this process by running numerical simulations that demonstrate
the existence of this phenomenon in a (3+1) dimensional lattice field theory and
compare the results with the analytic expectations for the effective Lagrangian
of the amplitude of these modes and their interactions. Finally, we also analyze the
massless and massive radiation produced by these excited strings and
comment on its relevance for the interpretation of the results of current numerical
simulations of axionic cosmic string networks.
Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction
Authors: Guo Zhenpeng , Zheng Huixian , Wu Hanrui , Zhang Jia , Zhou Guoxu , Long Jinyi 
Published: April 2023

Abstract

Objective. The gait phase and joint angle are two essential and complementary components of kinematics during normal walking, whose accurate prediction is critical for lower-limb rehabilitation, such as controlling the exoskeleton robots. Multi-modal signals have been used to promote the prediction performance of the gait phase or joint angle separately, but it is still few reports to examine how these signals can be used to predict both simultaneously. Approach. To address this problem, we propose a new method named transferable multi-modal fusion (TMMF) to perform a continuous prediction of knee angles and corresponding gait phases by fusing multi-modal signals. Specifically, TMMF consists of a multi-modal signal fusion block, a time series feature extractor, a regressor, and a classifier. The multi-modal signal fusion block leverages the maximum mean discrepancy to reduce the distribution discrepancy across different modals in the latent space, achieving the goal of transferable multi-modal fusion. Subsequently, by using the long short-term memory-based network, we obtain the feature representation from time series data to predict the knee angles and gait phases simultaneously. To validate our proposal, we design an experimental paradigm with random walking and resting to collect data containing multi-modal biomedical signals from electromyography, gyroscopes, and virtual reality. Main results. Comprehensive experiments on our constructed dataset demonstrate the effectiveness of the proposed method. TMMF achieves a root mean square error of

0.090
±
0.022

s in knee angle prediction and a precision of

83.7
±
7.7

% in gait phase prediction. Significance. We demonstrate the feasibility and validity of using TMMF to predict lower-limb kinematics continuously from multi-modal biomedical signals. This proposed method represents application potential in predicting the motor intent of patients with different pathologies.