bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dedo em gatilho ou tenossinovite de De Quervain após tratamento cirúrgico da síndrome do túnel do carpo
Authors: Kavalco Caroline Mayara , Leonel Letícia de Freitas , Andrade Fernanda Ruiz , Cagnolati Amanda Favaro , Rezende Luis Guilherme Rosifini Alves , Mazzer Nilton 
Published: July 2023

Resumo
Objetivo Avaliar o tratamento cirúrgico aberto da síndrome do túnel do carpo como fator de risco para o desenvolvimento das tenossinovites estenosantes formadoras do dedo em gatilho e da doença de De Quervain.
Materiais e Métodos Estudo retrospectivo com análise dos prontuários de pacientes submetidos a liberação cirúrgica aberta da síndrome do túnel do carpo entre 2010 e 2021 em hospital de níveis secundário e terciário. Os seguintes dados foram coletados: histórico patológico, tempo de acompanhamento após o tratamento cirúrgico da síndrome do túnel do carpo, desenvolvimento de dedo em gatilho ou tenossinovite de De Quervain, dedos acometidos, e tempo decorrido entre o fim da cirurgia e o aparecimento dos sintomas.
Resultados Foram avaliados 802 pacientes de ambos os sexos com média de idade de 50,1 (±12,6) anos. O tempo médio de seguimento foi de 13 (±16,4) meses. O tempo médio de desenvolvimento de dedo em gatilho foi de 61,4 meses, e o da doença de De Quervain, de 73,7 meses. A incidência de desenvolvimento da doença de De Quervain foi de 4,12% e a de dedo em gatilho, de 10,2%. Os dedos mais acometidos foram o polegar (47,6%), o médio (24,4%) e o anular (8,54%). A idade foi único fator que demonstrou associação com o risco de desenvolvimento de dedo em gatilho, com aumento de 2% a cada ano a mais de idade.
Conclusão As taxas de incidência de desenvolvimento de doença de De Quervain (4,12%) e de dedo em gatilho (10,2%) após tratamento cirúrgico da síndrome do túnel do carpo foram semelhantes às descritas na literatura. Apenas a idade se apresentou como fator influenciador no desenvolvimento de dedo em gatilho.
Colorectal Cancer Risk between Mendelian and Non-Mendelian Inheritance
Authors: Hibler Elizabeth A. , Szymaniak Brittany , Abbass Mohammad Ali 
Published: July 2023

AbstractHereditary colorectal cancer has been an area of focus for research and public health practitioners due to our ability to quantify risk and then act based on such results by enrolling patients in surveillance programs. The wide access to genetic testing and whole-genome sequencing has resulted in identifying many low/moderate penetrance genes. Above all, our understanding of the family component of colorectal cancer has been improving. Polygenic scores are becoming part of the risk assessment for many cancers, and the data about polygenic risk scores for colorectal cancer is promising. The challenge is determining how we incorporate this data in clinical care.
Liver Interventions in Children
Authors: Srinviasan Abhay , Acord Michael , Lambert Gonzalo , Sierre Sergio , Escobar Fernando 
Published: July 2023

AbstractThis review provides a comprehensive summary of the role of the interventional radiologist in managing liver disorders in children. Interventions are discussed with focus on indications for procedure, technical aspects, and patient management. Recommendations are supported by the most recent evidence and practice experience of the authors in the four subtopics, such as interventions in the post–liver transplant setting, for portal hypertension, for liver tumors, and for vascular anomalies of the liver, with emphasis on congenital portosystemic shunts.
Polymorphous Low-Grade Neuroepithelial Tumor of the Young (PLNTY): A Newly Described Entity of Special Radiological Significance
Authors: Barretto Brendon B. , Mani Jayanti , Venkatraman S. , Kumar Abhaya , Rao Shilpa , Kale Hrishikesh 
Published: July 2023

AbstractIntracranial granulomas are a major cause of seizures in India, the most common etiologies being neurocysticercosis and tuberculosis. However, other pathologies including rare low-grade tumors may mimic these granulomas on imaging. In this article, we presented the case of a young woman patient with drug-resistant epilepsy. On imaging, there was a small calcified lesion in the brain parenchyma. In view of concordant electroclinical and imaging data on presurgical evaluation, the lesion was excised and the patient was seizure free. On histopathological evaluation, it was found to be a polymorphous low-grade neuroepithelial tumor of the young (PLNTY) – a rare, recently reported entity that can mimic an intracranial granuloma on imaging.
Hematological and Extra-Hematological Manifestations of Parvovirus B19 Disease
Authors: Zeybek Cengiz , Bolat Ahmet , Gürsel Orhan , Eker İbrahim , Kürekçi Ahmet Emin 
Published: July 2023

Abstract
Objective Parvovirus B19 (PVB19) is a virus that can present with many hematological and extra-hematological findings. Its prognosis is relatively good in immunocompetent patients, but severe disease may develop in immunocompromised patients. We retrospectively reviewed a series of children who presented with PVB19 during a 6-year period at our institution.
Methods Nine children with positive polymerase chain reaction and serological test results for PVB19 were studied. Their demographic data, atypical clinical and laboratory findings, treatment regiments, clinical course, and prognosis were noted.
Results The hematological abnormalities associated with PVB19 were anemia, neutropenia, and thrombocytopenia, and the extra-hematological abnormalities were systemic lupus erythematosus-like syndrome, hemophagocytic lymphohistiocytosis, and acute kidney injury. All patients had good outcomes with no significant sequelae.
Conclusion This case review suggests that clinicians should not consider PVB19 only as a cause of hematological events; they should also be alert to the possibility that it may cause extra-hematological diseases.
Spatial double dividend from China’s main grain-producing areas policy: total factor productivity and the net carbon effect
Authors: Ye Deping , Zhen Shangsong , Wang Wei , Liu Yunqiang 
Published: July 2023

AbstractBecause of the reductions in China’s cultivated land area and the significant impact on the agricultural market, the main grain-producing areas (MGPA) policy has become vitally important for ensuring China’s food security. However, guaranteed food security and sustainability require ecological security, which raises the question of whether food production should come at the expense of the environment. This study used 1998–2020 panel data from 30 Chinese provinces and a spatial difference-in-differences model (SDID) to explore the MGPA policy effects and mechanism paths on agricultural total factor productivity (ATFP) and the net carbon effect (NCS). It was found that economically, the MGPA policy promoted local ATFP improvements and had positive spillover effects on surrounding provinces through factor diffusion, and environmentally, the MGPA policy had a positive effect in the MGPA policy implementation areas but inhibited the NCS in surrounding provinces. Further explorations of the environmental performances revealed that the MGPA policy promoted growth in agricultural carbon sinks and agricultural carbon emissions, with the environmental performances being primarily reflected in an increase in carbon sinks and a decline in the carbon emissions density. The mechanism test showed that the MGPA policy’s local environmental performance was achieved through economic performance. The ATFP was refined into technical innovation (TI), technology adoption (TA), and business scale (OS), with the mechanistic roles of these three refining paths being OS > TI > TA. A further mechanism test revealed that the MGPA policy effects on the ATFP were influenced by the various adjustment of production support, government support, and collaborative support. Based on the above analysis, this study gives policy recommendations to ensure food security and the realization of China’s dual carbon target.
Interpreter visibility in press conferences: a multimodal conversation analysis of speaker–interpreter interactions
Authors: Li Ruitian , Liu Kanglong , Cheung Andrew K. F. 
Published: July 2023

AbstractThis study offers a novel perspective on interpreter visibility by exploring speaker references to interpreters, which differs from previous research that primarily focused on interpreter visibility through their own discourse contributions. Employing a multimodal conversation analysis approach, the study examined the verbal and nonverbal resources utilized by speakers and interpreters in 98 selected excerpts taken from press conference interpreting sessions at the American Institute in Taiwan (AIT). The analysis revealed six distinct topics that denoted the ways in which interpreters were rendered noticeable to the audience through the speaker’s references. These references were context dependent, leading to subsequent speaker–interpreter interactions where interpreters became highly visible. In addition to verbal cues, nonverbal semiotics played a crucial role in demonstrating how interpreters working in rigidly structured press conferences could function as active co-participants of discourse, and how the speaker and interpreter could collaborate to facilitate the interpreter’s visibility and promote a relaxed communicative environment. These findings shed new light on the interpreter’s role, underscoring that it is a dynamic phenomenon requiring analysis in relation to the specific communicative context. This study demonstrated the efficacy of utilizing multimodal conversation analysis as a methodology to explore interactions between speakers and interpreters and to gain a deeper understanding of the complex and nuanced aspects of conference interpreting.
Hydrology education at Chinese universities: a comparative case study between Hohai University and the University of Arizona
Authors: Ke Xintong , Fang Zhongzheng , Wang Fang 
Published: July 2023

AbstractHydrology education for hydrological professionals is an important field due to the complex and multifaceted water issues that hydrologists face. Currently, hydrology education at Chinese universities is mainly focused on hydrological engineering, which leads to inadequate scientific and professional training from the perspective of an interdisciplinary educational framework. In this context, the knowledge and skills of future hydrologists cannot be systematically prepared. In this study, we explore the challenges and constraints that hinder the advancement of hydrology education at Chinese universities by conducting an inductive analysis in which we compare the hydrology education that occurs in China with that of the United States. The result suggests that a lack of adequate financial support is the main constraint and that it leads to inevitable problems such as a high student-teacher ratio, insufficiently qualified educators, and poor teaching materials and equipment. To address this issue, financial support for this program should be increased. In addition, collaborative programs based on online learning can effectively resolve the inadequacy of teaching resources. Assessing the hydrological education system in American universities carries a certain significance for Chinese universities in creating a reasonable interdisciplinary hydrological educational system by emulating traditional engineering hydrological education.
Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study
Authors: Wu Peiyan , Jiang Yan , Xing Hanshuo , Song Wenbo , Cui Xinwu , Wu Xing long , Xu Guoping 
Published: July 2023

Abstract

Background. Breast cancer is the most prevalent cancer diagnosed in women worldwide. Accurately and efficiently stratifying the risk is an essential step in achieving precision medicine prior to treatment. This study aimed to construct and validate a nomogram based on radiomics and deep learning for preoperative prediction of the malignancy of breast cancer (MBC). Methods. The clinical and ultrasound imaging data, including brightness mode (B-mode) and color Doppler flow imaging, of 611 breast cancer patients from multiple hospitals in China were retrospectively analyzed. Patients were divided into one primary cohort (PC), one validation cohort (VC) and two test cohorts (TC1 and TC2). A multimodality deep learning radiomics nomogram (DLRN) was constructed for predicting the MBC. The performance of the proposed DLRN was comprehensively assessed and compared with three unimodal models via the calibration curve, the area under the curve (AUC) of receiver operating characteristics and the decision curve analysis. Results. The DLRN discriminated well between the MBC in all cohorts [overall AUC (95% confidence interval): 0.983 (0.973–0.993), 0.972 (0.952–0.993), 0.897 (0.823–0.971), and 0.993 (0.977–1.000) on the PC, VC, test cohorts1 (TC1) and test cohorts2 TC2 respectively]. In addition, the DLRN performed significantly better than three unimodal models and had good clinical utility. Conclusion. The DLRN demonstrates good discriminatory ability in the preoperative prediction of MBC, can better reveal the potential associations between clinical characteristics, ultrasound imaging features and disease pathology, and can facilitate the development of computer-aided diagnosis systems for breast cancer patients. Our code is available publicly in the repository at https://github.com/wupeiyan/MDLRN.
Nonlinear microtearing modes in MAST and their stochastic layer formation
Authors: Giacomin M , Dickinson D , Kennedy D , Patel B S , Roach C M 
Published: July 2023

Abstract
First nonlinear gyrokinetic simulations of microtearing modes in the core of a MAST case are performed on two surfaces of the high-collisionality discharge used in Valovič et al (2011 Nucl. Fusion
51 073045) to obtain the favorable energy confinement scaling with collisionality,

τ
E

∝

ν
∗

−
1

. On the considered surfaces microtearing modes dominate linearly at binormal length scales of the order of the ion Larmor radius. While the effect of electron collision frequency is moderate in linear simulations, a strong dependence on this parameter is found in nonlinear simulations at

r

/

a
=
0.5

, where r and a are the surface and tokamak minor radius, respectively. The dynamics of magnetic islands generated by microtearing modes is analysed, showing that the radial extent of the stochastic region caused by islands overlapping plays an important role in determining the saturation level of the microtearing mode driven heat flux. Local nonlinear gyrokinetic simulations show that the microtearing mode driven heat flux,

Q
e

M
T
M

, is largely dominated by magnetic flutter and depends strongly on the magnetic shear,

s
ˆ

. Comparing two surfaces,

r

/

a
=
0.5

and

r

/

a
=
0.6

, reveals that

Q
e

M
T
M

is negligible at

r

/

a
=
0.5

(

s
ˆ

=
0.34

), with the electron temperature gradient (ETG) driven heat flux,

Q
e

E
T
G

, comparable to the experimental electron heat flux,

Q
e

e
x
p

, while

Q
e

M
T
M

is significantly larger and comparable to

Q
e

E
T
G

and

Q
e

e
x
p

at

r

/

a
=
0.6

(

s
ˆ

=
1.1

). Microtearing modes cause more experimentally significant transport in higher

s
ˆ

regions and may influence (together with ETG modes) the observed scaling of energy confinement time with collisionality (Valovič et al 2011 Nucl. Fusion
51 073045).
Boost the photocatalytic hydrogen production of the nanocomposites conducting polypyrrole modified with metal oxide (CuO)
Authors: Atta A , Abdeltwab E , Negm H , Alshammari Alhulw H , Abdelhamied M M , Ahmed Ashour M , Rabia Mohamed 
Published: July 2023

Abstract
This study explores the use of a PPy/CuO nanocomposite films for photocatalytic hydrogen production from wastewater, which is a significant avenue for solar energy applications. The photocatalyst is prepared using a simple in situ polymerization method on a glass substrate, and is found to exhibit high photocatalytic H2 evolution activity without the need for any co-catalyst. The structure of the PPy and CuO components is confirmed through XRD, TEM, FTIR and XPS analyses. The SEM indicates that CuO nanoparticles cause a homogenous PPy morphology due to the reduction of the accumulation by incorporation of CuO in PPy. The composite is found to have optical absorption spectra covering the UV, Vis, and near IR regions, with a band gap of 1.92 eV making it suitable as a photoelectrode for hydrogen production. The effect of light/dark, on/off chopped light, and monochromatic wavelengths on the photocatalytic activity is studied, and the electrode is found to exhibit a strong response to light under different monochromatic wavelengths that match its optical absorbance behavior. The photocurrent density values obtained are 3.7, 3.4, 2.9, and 0.45 μA cm−2 under 340, 440, 540, and 730 nm, respectively. The study is low-cost and holds promise for the production of hydrogen gas from wastewater.
Surface modification and helium release of tungsten irradiated by 40 keV helium ions
Authors: Xia Tongjun , Jiang Zhenyu , Shi Yongzhi , Ren Xinyu , Zhang Wenjie , Wang Meiqi , Liang Lisha , Zhu Kaigui 
Published: July 2023

Abstract
The effects of grain boundaries and surface roughness on tungsten irradiated by 40 keV He ions with a flux of 1.6 × 1017 He+/(m2s) to a fluence of 6.6 × 1021 He m−2 at room temperature were investigated. It was found that rough surfaces can suppress the surface blistering on tungsten. This may be due to the grooves appeared on rough tungsten limiting crack growth, resulting in the release of helium. However, the influence of grain boundaries on denseness of blistering was not obvious except the difference in blistering cap. The number of blister with detached cap on large grain tungsten samples (LGW, with the grain size of ∼50 μm) is more than that on small grain tungsten samples (SGW, with the grain size of ∼5 μm). In addition, the effect of grain boundaries on helium retention in tungsten cannot be ignored. The total He release from SGW was 2.56 × 1021 He m−2, which was smaller than the value (4.10 × 1021 He m−2) of LGW.
Dynamical friction in gravitational atoms
Authors: Tomaselli Giovanni Maria , Spieksma Thomas F.M. , Bertone Gianfranco 
Published: July 2023

AbstractDue to superradiant instabilities, clouds of ultralight bosons can spontaneously grow around rotating black holes, creating so-called “gravitational atoms”. In this work, we study their dynamical effects on binary systems. We first focus on open orbits, showing that the presence of a cloud can increase the cross section for the dynamical capture of a compact object by more than an order of magnitude. We then consider closed orbits and demonstrate that the backreaction of the cloud's ionization on the orbital motion should be identified as dynamical friction. Finally, we study for the first time eccentric and inclined orbits. We find that, while ionization quickly circularizes the binary, it barely affects the inclination angle. These results enable a more realistic description of the dynamics of gravitational atoms in binaries and pave the way for dedicated searches with future gravitational wave detectors.
First H- beam extracted from the non-caesiated external RF-coil ion source at ISIS
Authors: Lawrie S. , Abel R. , Cahill C. , Faircloth D. , Macgregor J. , Speed J. , Tarvainen O. 
Published: July 2023

Abstract
A high power, high duty-cycle, non-caesiated negative hydrogen ion source is in
development at the ISIS pulsed spallation neutron and muon facility. Stable operation of an
inductively-coupled plasma pulsing at 50 Hz, 1 ms, 70 kW has been perfected with no apparent
lifetime issues. Novel features compared to similar H- sources include a very low power
microwave ignition gun, an adjustable permanent magnet filter field and multiple large 3D-printed
components. This paper details the initial commissioning efforts required to generate a beam. An
H- beam current of 10 mA was extracted on the first try in pure volume-production
mode. Parameter sweeps and optimisation to reach the required 35 mA were put on hold to address
ancillary equipment problems. Mitigation of RF pickup required major mechanical changes such as
additional screening and magnetic shielding. Extraction voltage holding capabilities were
investigated to cope with co-extracted electron current loading in excess of 0.7 A. Preliminary
studies of the biased plasma electrode current showed that co-extracted electrons could be
suppressed by increasing the magnetic filter field and gas flow.
Extended characterization of alpha particles via laser-induced p-11B fusion reaction in silicon hydrogenated boron-doped thin targets
Authors: Milluzzo G. , Belloni F. , Petringa G. , Scuderi V. , Giuffrida L. , Velyhan A. , Verona C. , Picciotto A. , Rosinski M. , Catalano R. , Crivellari M. , Dostal J. , Dudzak R. , Juha L. , Krasa J. , Krupka M. , Krůs M. , Lanzalone G. , Leanza R. , Litrico C.G. , Pfeizer M. , Schillaci F. , Tudisco S. , Margarone D. , Cirrone G.A.P. 
Published: July 2023

Abstract
The nuclear fusion channel of the p-11B reaction producing α particles with
multi-MeV kinetic energies was induced by a sub-nanosecond laser pulse focused onto 10 μm
thick boron-doped thin targets at intensities of ∼ 1016 W/cm2. A full
characterization in terms of α particle flux and angular distribution was performed thanks
to the simultaneous use of several diagnostics (time-of-flight detectors, nuclear track detectors,
and Thomson Parabola spectrometers), which enabled to measure key features of particles produced
both in the backward (target front side) and forward (target rear side) directions. Maximum
α particle flux and cut-off energy were recorded at small detection angles with respect to
the target normal in the backward direction. The maximum kinetic energy shown by the
α-particles produced in the nuclear fusion reaction was ascribable to a post-accelerating
transient electric field present in the laser-generated plasma, in agreement with our previous
preliminary results.
Predicting Particulate Matter (PM10) during High Particulate Event (HPE) using Quantile Regression in Klang Valley, Malaysia
Authors: Rahim N A A A , Noor N Mohamed , Jafri I A Mohd , Ramli N , Kamaruddin M A , Deák G 
Published: July 2023

Abstract
Particulate matter (PM10) is the key indicator of air quality index (API) during high particulate event (HPE). The presence of PM10 is believed to have an adverse effect on human health and environment. Therefore, the prediction of future PM10 concentration is very important because it can aid the local authorities to implement precautionary actions to limit the impact of air pollution. This study aims to compare the performances of two predictive models, which include Multiple Linear Regression (MLR) and Quantile Regression (QR) in predicting the next-day PM10 concentration during HPE. The hourly dataset of PM10 concentration with other trace gases and weather parameters at Kelang and Petaling Jaya from the year of historic haze event in Malaysia (1997, 2005, 2013 and 2015) were obtained from Department of Environment (DOE) Malaysia. Three performance measures namely Mean Absolute Error (MAE), Normalised Absolute Error (NAE) and Root Mean Squared Error (RMSE) were calculated to evaluate the performances of the predictive models. From the results, QR model at quantile 0.3 and 0.6 was chosen as the best predictive tools for predicting the next day PM10 concentration during haze event in Kelang and Petaling Jaya, respectively. showed better performance for the prediction of next-day PM10 concentration in Kelang. These results indicate that QR can be used as one of predictive tool to forecast air pollution concentration especially during unusual condition of air quality.