bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diaphragmatic and Rectus Femoris Muscles Ultrasonography in Relation to Motor and Respiratory Functions in Ambulatory Boys with Duchenne Muscular Dystrophy
Authors: Hassanein Sahar M.A. , Elagouza Iman , Sakr Hossam , Mohammed Maha Z. , Rihan Ahmed , Deifalla Shaymaa 
Published: June 2023

AbstractOur aim was to establish correlations between GSGC (Gait, Stairs, Gower, Chair) scores and ultrasonographic (US) findings of rectus femoris muscle (RF) and to study correlation between pulmonary function tests (PFT) and diaphragmatic muscles thickness in ambulatory boys with Duchenne muscular dystrophy (DMD). Twenty-four ambulatory boys with DMD were included. Their motor functions were assessed using GSGC scale. All the participants underwent PFT. US was used to assess RF quantitatively (gray scale analysis) and semiquantitatively (modified Heckmatt score) besides assessment of diaphragmatic muscle thickness. Patients with grade IV modified Heckmatt scale had the worst functional performance compared with grade III and II evidenced by having the highest total GSGC score (p < 0.01), worst gait, stairs climbing, chair rising scores, and the longest time for rising from floor (p < 0.05). A significant positive correlation was detected between forced expiratory volume in 1s/ forced vital capacity and right diaphragmatic muscle thickness. GSGC score positively correlated with RF US findings (quantitative gray scale analysis). GSGC score is a successful tool that could be used for clinical evaluation of patients with DMD. Diaphragmatic US introduces an option for screening and monitoring of restrictive respiratory pattern in patients with DMD after determining the reference values of diaphragmatic muscle thickness in different ages.
The Effect of the COVID-19 Pandemic on the Frequency and Course of Inflammatory Bowel Disease in Children
Authors: Güler Selen , Aksoy Betül , Appak Yeliz Ç. , Kahveci Sinem , Karabağ Şenay O. , Baran Maşallah 
Published: June 2023

Abstract
Objective Inflammatory bowel disease is a chronic inflammatory disease of the gastrointestinal tract. Some difficulties and differences were experienced during the coronavirus disease 2019 (COVID-19) pandemic period for monitoring of chronic diseases. In this study, the effect of the COVID-19 pandemic on the frequency and course of inflammatory bowel disease in children was evaluated.
Methods The first severe acute respiratory syndrome coronavirus 2 case in Türkiye was diagnosed on March 11, 2020. The pandemic period was defined as the year following this date, and the pre-pandemic period as the preceding year. The number of patients newly diagnosed with inflammatory bowel disease and their clinical presentations during the pandemic period and pre-pandemic period was compared. In addition, the clinical features of previously diagnosed inflammatory bowel disease patients in the pandemic period and pre-pandemic period were compared.
Results Eighty-six patients in a pediatric gastroenterology clinic between 2009 and 2021 were included. The number of newly diagnosed patients was higher during the pandemic period (n = 14) compared with the pre-pandemic period (n = 18; p = 0.017). Fifty-four patients were follow-up patients diagnosed before 2019: the mean number of outpatient clinic visits, disease attacks, and hospitalizations was lower pandemic period than pre-pandemic period (p < 0.01).
Conclusion The changes experienced during pandemic period may have triggered more cases of inflammatory bowel disease. However, we found no evidence that either less face-to-face follow-up of, or life changes in, existing inflammatory bowel disease patients during the pandemic period adversely affected their clinical outcomes.
The Effect of Body Mass Index on Free Flap Breast Reconstruction
Authors: Sudduth Jack D. , Marquez Jessica L. , Samlowski Erika E. , Bautista Catie , Eddington Devin , Agarwal Jayant P. , Kwok Alvin C. 
Published: June 2023

Abstract
Background Literature addressing the risks associated with increasing body mass index (BMI) for patients undergoing free flap breast reconstruction is limited. Often, an arbitrary BMI cutoff (i.e., BMI of 30 kg/m2) is used to determine candidacy for a free flap without substantial backing evidence. This study utilized a national multi-institutional database to analyze outcomes of free flap breast reconstruction and stratified complications by BMI class.
Methods Using the 2010 to 2020 National Surgical Quality Improvement Program database, patients who underwent free flap breast reconstruction were identified. Patients were divided into six cohorts based on the World Health Organization BMI classes. Cohorts were compared by basic demographics and complications. A multivariate regression model was created to control for age, diabetes, bilateral reconstruction, American Society of Anesthesiologists class, and operative time.
Results Surgical complications increased with each BMI class, with the highest rates occurring in class I, II, and III obesity, respectively. In a multivariable regression model, the risk for any complication was significant for class II and III obesity (odds ratio [OR]: 1.23, p < 0.004; OR: 1.45, p < 0.001, respectively). Diabetes, bilateral reconstruction, and operative time were independently associated with an increased risk of any complication (OR: 1.44, 1.14, 1.14, respectively, p < 0.001).
Conclusion This study suggests that the risks of postoperative complications following free flap breast reconstruction are highest for patients with a BMI greater than or equal to 35 kg/m2, having nearly 1.5 times higher likelihood of postoperative complications. Stratifying these risks by weight class can help guide preoperative counseling with patients and help physicians determine candidacy for free flap breast reconstruction.
Impact of Latency Variations on the Predictive Value of Facial Nerve Proximal-to-Distal Amplitude Ratio during Vestibular Schwannoma Surgery
Authors: Ashram Yasmine A. , Zohdy Youssef M. , Garzon-Muvdi Tomas 
Published: June 2023

Abstract
Introduction This study highlights the relation between compound muscle action potential (CMAP) latency variations and the predictive value of facial nerve (FN) proximal-to-distal (P/D) amplitude ratio measured at the end of vestibular schwannoma resection.
Methods Forty-eight patients underwent FN stimulation at the brainstem (proximal) and internal acoustic meatus (distal) using a current intensity of 2 mA. The proximal latency and the P/D amplitude ratio were assessed. House–Brackmann grades I & II indicated good FN function, and grades III to VI were considered fair/poor function. A P/D amplitude ratio > 0.6 was used as a cutoff to indicate a good FN function, while a ratio of ≤ 0.6 indicated a fair/poor FN function.
Results The P/D amplitude ratio was measured for all patients, and the calculated sensitivity (SE), specificity (SP), positive predictive value (PPV), and negative predictive value (NPV) were 85.2, 85.7, 88.5, and 81.8%, respectively. The CMAPs from the mentalis muscle were then classified based on their proximal latency into group I (< 6 ms), group II (6–8 ms), and group III (> 8 ms). The SE, SP, PPV, and NPV became 90.5, 90.9, 95, and 83.3%, respectively, in group II. In group I, SE and NPV increased, whereas SP and PPV decreased. While in group III, SP and PPV increased, whereas SE and NPV decreased.
Conclusion At a latency between 6 and 8 ms, the P/D amplitude ratio was predictive of outcomes with high SE and SP. When latency was < 6 ms or > 8 ms, the same predictive ability was not observed. Knowing the strengths and limitations is important for understanding the predictive value of the P/D amplitude ratio.
EU resilience in times of COVID? Polity maintenance, public support, and solidarity
Authors: Oana Ioana-Elena , Ronchi Stefano , Truchlewski Zbigniew 
Published: June 2023

AbstractThis introduction presents the theoretical framework, aims, and summary of this special issue. We want to explain the European Union’s (EU) response to the COVID crisis from a ‘polity perspective’ (Kriesi 2021; Ferrera 2005). We conceptualize the EU as a compound ‘experimental’ polity which develops along three dimensions: binding (capacity building and sovereignty), bounding (bordering), and bonding (solidarity and loyalty). We structure the contributions around the following themes:polity building and polity maintenance(how did COVID affect policymaking in the EU?);reactions to polity building: public support, populism, and emergency politics(did the European public perceive emergency politics as illegitimate? did the EU’s policy response spur populism?); andsolidarity and bonding(to what extent did the crisis stimulate cross-national solidarity?). We show that, overall, the EU weathered the COVID storm better than expected for a potentially fragile multilevel polity. The crisis triggered unprecedented institutional innovation, underpinned by pan-European solidarity, and EU citizens did not backlash against emergency politics.
Distractions, analytical thinking and falling for fake news: A survey of psychological factors
Authors: Kwek Adrian , Peh Luke , Tan Josef , Lee Jin Xing 
Published: June 2023

AbstractAnalytical thinking safeguards us against believing or spreading fake news. In various forms, this common assumption has been reported, investigated, or implemented in fake news education programs. Some have associated this assumption with the inverse claim, that distractions from analytical thinking may render us vulnerable to believing or spreading fake news. This paper surveys the research done between 2016 and 2022 on psychological factors influencing one’s susceptibility to believing or spreading fake news, considers which of the psychological factors are plausible distractors to one’s exercise of analytical thinking, and discusses some implications of considering them as distractors to analytical thinking. From these, the paper draws five conclusions: (1) It is not analytical thinking per se, but analytical thinking directed to evaluating the truth that safeguards us from believing or spreading fake news. (2) While psychological factors can distract us from exercising analytical thinking and they can also distract us in exercising analytical thinking. (3) Whether a psychological factor functions as a distractor from analytical thinking or in analytical thinking may depend on contextual factors. (4) Measurements of analytical thinking may not indicate vulnerability to believing or spreading fake news. (5) The relevance of motivated reasoning to our tendency to believe fake news should not yet be dismissed. These findings may be useful to guide future research in the intersection of analytical thinking and susceptibility to believing or spreading fake news.
Structural modulation and spin glassiness upon oxidation in oxygen storage material LnFeMnO4+x for Ln = Y, Lu, and Yb
Authors: Li Tianyu , Liou Sz-Chian , Hong Stephanie J. , Zhang Qiang , Mandujano H. Cein , Rodriguez Efrain E. 
Published: June 2023

The mixed valence multiferroic LnFe2+Fe3+O4 (where Ln = Y, Lu, and Yb) can reversibly uptake oxygen into its lattice, which is evidenced by a crystallographic phase transition along with the appearance of structural modulations. In this study, we show that the Mn-substituted version of this multiferroic can also be readily oxidized to LnFe3+Mn3+O4.5 revealing similar oxygen storage behavior. Through neutron, electron, and synchrotron x-ray diffraction studies, we observe a structural modulation that we attribute to a displacement wave in the fully oxidized compound. This wave exhibits commensurability with a wavevector q = (−2/7, 1/7, 0). Bond valence summation analysis of plausible interstitial oxygen positions suggests that oxygen insertion likely occurs at the middle of the Fe/Mn–O bipyramid layers. The structural modulation of LnFeMnO4.5 is two-dimensional, propagates along the ab-plane, and is highly symmetric as 12 identical modulation vectors are observed in the diffraction patterns. The nature of the lanthanide, Ln3+, does not seem to influence such modulations since we observe identical satellite reflections for all three samples of Ln = Y, Lu, and Yb. Both LnFeMnO4 and LnFeMnO4.5 display spin glassy behavior with 2D short-range magnetic ordering being observed in LnFeMnO4. Analysis of the neutron diffraction data reveals a correlation length of ∼10 nm. Upon oxidation to LnFeMnO4.5, the short-range magnetic order is significantly suppressed.
Investigation on a coaxial HPM generator with low magnetic field
Authors: Tan Weibing , Chen Changhua , Li Xiaoze , Teng Yan , Zhang Ligang , Zhu Xiaoxin , Yang Dewen 
Published: June 2023

A Ku band coaxial high power microwave generator with a low magnetic field was investigated without mode competition in this paper. Mode competition is avoided physically by adopting a two-cavity extractor instead of a three-cavity extractor to eliminate the resonance between the modulation slow wave structure and the extractor slow wave structure at any unexpected frequency except the working frequency. Moreover, the efficiency of the device increases due to the separation process of energy extraction and electron collection by adopting the inner conductor collecting structure. Particle simulation results showed that when the magnetic flux density is 0.6 T, the diode voltage is 560 kV, and the diode current is 8 kA, we get 1.55 GW microwaves with an efficiency of 35% and a frequency of 14.7 GHz. Experimental investigation is carried out based on the physical design and simulation results. 1.0 GW microwaves are obtained, and the frequency is 14.8 GHz in the experiment when the magnetic flux density is 0.64 T, the diode voltage is 590 kV, and the diode current is 8.5 kA. No obvious hint of electron emission or bombardment is observed at the surface of the generator after 10 thousand pulses, and the advantage of this kind of generator working in a low magnetic field is proved.
Detecting dipolarity of the geomagnetic field in the paleomagnetic record
Authors: Lhuillier Florian , Shcherbakov Valeriy P. , Sycheva Natalia K. 
Published: June 2023

Recovering the geomagnetic field strength in the past is key to understanding deep Earth dynamics and detecting potential geodynamo regimes throughout the history of Earth. To better constrain the predictive power of the paleomagnetic record, we propose an approach based on the analysis of the dependency between geomagnetic field strength and inclination (angle made by the horizontal with the field lines). Based on the outcomes of statistical field models, we show that these two quantities should correlate for a wide range of Earth-like magnetic fields, even with enhanced secular variation, persistent nonzonal components, and severe noise contamination. Focusing on the paleomagnetic record, we show that the correlation is not significant for the Brunhes polarity chron, what we ascribe to inadequate spatiotemporal sampling. In contrast, the correlation is significant for the 1 to 130 Ma interval, whereas it only marginally succeeds prior to 130 Ma when strict filters on both paleointensities and paleodirections are applied. As we cannot detect significant variations in the strength of the correlation over the 1 to 130 Ma interval, we conclude that the Cretaceous Normal Superchron may not be associated with enhanced dipolarity of the geodynamo. The strong correlation obtained prior to 130 Ma when strict filters are applied indicates that the ancient field may not be on average so different from the present-day field. If long-term fluctuations nevertheless existed, detecting potential geodynamo regimes during the Precambrian is currently impeded by the sparsity of high-quality data passing strict filters in both paleointensities and paleodirections.
EMI and its sociolinguistic entanglement with local languages
Authors: De Soete Alexander 
Published: June 2023

Abstract
Against the backdrop of inter-institutional competition and transnational ambitions, the prevalence of
English-medium instruction (EMI) programs in higher education and their relative distribution across various national, regional,
and institutional contexts is rapidly growing. When studying the increasingly globalized phenomenon of EMI, there is a tendency to
adopt macro-pedagogical perspectives, with comparatively little attention being devoted to disciplinary differences which may
warrant intra-institutional differentiation through situationally adaptable approaches to EMI policy and implementation
strategies. The present study attempts to further enhance and nuance our understanding of the influence of disciplinary knowledge
structures and literacies on lecturers’ and students’ linguistic needs in EMI courses. This article reports on linguistic
ethnographic fieldwork at a Belgian higher education institution in which graduate students in international bio-science
engineering and industrial design engineering programs were observed during the 2021–2022 academic year. Differences in
disciplinary knowledge structures and literacies are explored through means of survey, interview, and classroom observation
data. Results corroborate earlier findings on the interplay between disciplinary knowledge structures and attitudes towards EMI.
Additionally, the data illustrate how the active inclusion of local languages alongside English can be considered disciplinarily
relevant in certain programs.
Inverse problems for mean field games
Authors: Liu Hongyu , Mou Chenchen , Zhang Shen 
Published: June 2023

Abstract
The theory of mean field games (MFGs) studies the limiting behaviors of large systems where the agents interact with each other in a certain symmetric way. The running and terminal costs are critical for the agents to decide the strategies. However, in practice they are often partially known or totally unknown for the agents, while the total cost is known at the end of the game. To address this challenging issue, we propose and study several inverse problems for MFGs. When the Lagrangian is a kinetic energy, we first establish unique identifiability results, showing that one can recover either the running cost or the terminal cost from knowledge of the total cost. If the running cost is limited to the time-independent class, we can further prove that one can simultaneously recover both the running and the terminal costs. Finally, we extend the results to the setup with general Lagrangians.
Relative estimation of scattering noise and electronic noise of a radiation detector
Authors: Kumari Kajal , Goswami Mayank 
Published: June 2023

Abstract
This study investigates two unavoidable noise factors: electronic noise (EN) and radiation scattering, associated with detectors and their electronics. This study proposes a novel methodology to estimate electronic and scattering noise separately. It utilizes mathematical tools, namely, Kanpur theorem-1 (KT-1), standard deviation, similarity dice coefficient parameters, and experimental computerized tomography technique. Four types of gamma detectors: CsI (Tl),

LaB

r

3

Ce

, NaI (Tl) and HPGe are used with their respective electronics. A detector with integrated circuit electronics imparts significantly less (∼33% less) EN in data than detectors with distributed electronics. KT-1 signature is proposed as a scattering error estimate. The developed empirical expression shows that scattering noise depends strongly on the mass attenuation coefficients of detector crystal material and weakly on their active area. The difference between predicted and estimated relative scattering is 14.6%. The methodology presented in this study will assist the related industry in selecting the appropriate detector of optimal diameter, thickness, material composition and hardware as per requirement.
Robust solution of coordinate transformation parameters with a high breakdown point
Authors: Liu Zhonghe , Li Zongchun , He Hua , Fu Yongjian , Ran Jiahuan 
Published: June 2023

Abstract
Because the M estimation method may lead to poor robustness or even failure owing to excessive outliers, a robust algorithm with a high breakdown point was proposed and applied to the estimation of coordinate transformation parameters. Firstly, the sampling method was used to calculate multiple sets of model parameters, and some sampling results were sifted according to posterior information. Then, the samples were sorted according to their number in the sampling results, and the F-test was adopted to screen and reserve valid information. Finally, the initial values of the reliable parameters were computed using the valid information, and the final parameters were obtained by the Institute of Geodesy and Geophysics III scheme. Monte Carlo method was adopted for the simulation test, and a case analysis was chosen for verification. The results show that the proposed method can identify and process outliers more accurately than those of Rousseeuw and Hubert (2011 Wires Data Min. Knowl.
1 73–79) and Tao et al (2016 Acta Geod. Cartogr. Sin.
45 297–301). When the proportion of outliers exceeded 50%, the proposed algorithm maintained a strong robustness and had a high breakdown point.
Normalized solutions of L
2-supercritical NLS equations on noncompact metric graphs with localized nonlinearities
Authors: Borthwick Jack , Chang Xiaojun , Jeanjean Louis , Soave Nicola 
Published: June 2023

Abstract
In this paper we are concerned with the existence of normalized solutions for nonlinear Schrödinger equations on noncompact metric graphs with localized nonlinearities. In a L
2-supercritical regime, we obtain the existence of solutions for any prescribed mass. This result is obtained through an approach which could prove successful to treat more general equations on noncompact graphs.
Deep learning enhanced ultra-fast SPECT/CT bone scan in patients with suspected malignancy: quantitative assessment and clinical performance
Authors: Qi Na , Pan Boyang , Meng Qingyuan , Yang Yihong , Feng Tao , Liu Hui , Gong Nan-Jie , Zhao Jun 
Published: June 2023

Abstract

Objectives. To evaluate the clinical performance of deep learning-enhanced ultrafast single photon emission computed tomography/computed tomography (SPECT/CT) bone scans in patients with suspected malignancy. Approach. In this prospective study, 102 patients with potential malignancy were enrolled and underwent a 20 min SPECT/CT and a 3 min SPECT scan. A deep learning model was applied to generate algorithm-enhanced images (3 min DL SPECT). The reference modality was the 20 min SPECT/CT scan. Two reviewers independently evaluated general image quality, Tc-99m MDP distribution, artifacts, and diagnostic confidence of 20 min SPECT/CT, 3 min SPECT/CT, and 3 min DL SPECT/CT images. The sensitivity, specificity, accuracy, and interobserver agreement were calculated. The lesion maximum standard uptake value (SUVmax) of the 3 min DL and 20 min SPECT/CT images was analyzed. The peak signal-to-noise ratio (PSNR) and structure similarity index measure (SSIM) were evaluated. Main results. The 3 min DL SPECT/CT images showed significantly superior general image quality, Tc-99m MDP distribution, artifacts, and diagnostic confidence than the 20 min SPECT/CT images (P < 0.0001). The diagnostic performance of the 20 min and 3 min DL SPECT/CT images was similar for reviewer 1 (paired X
2 = 0.333, P = 0.564) and reviewer 2 (paired X
2 = 0.05, P = 0.823). The diagnosis results for the 20 min (kappa = 0.822) and 3 min DL (kappa = 0.732) SPECT/CT images showed high interobserver agreement. The 3 min DL SPECT/CT images had significantly higher PSNR and SSIM than the 3 min SPECT/CT images (51.44 versus 38.44, P < 0.0001; 0.863 versus 0.752, P < 0.0001). The SUVmax of the 3 min DL and 20 min SPECT/CT images showed a strong linear relationship (r = 0.991; P < 0.0001). Significance. Ultrafast SPECT/CT with a 1/7 acquisition time can be enhanced by a deep learning method to achieve comparable image quality and diagnostic value to those of standard acquisition.