Miracle-dz/UniFAR-FTUs huggingface dataset:
What Factors Contribute to Chest Symptoms during Exercise in Patients with Vasospastic Angina

Objective: Chest symptoms in patients with vasospastic angina (VSA) typically occur during rest. However, we have occasionally experienced patients with VSA who have had chest symptoms even during exercise. However, factors contributing to the chest symptoms during exercise in patients with VSA remain unclear. Therefore, we investigated this relationship. Methods: We investigated 101 patients with VSA (mean age: 67 years, 51 males and 50 females). We completed detailed chest symptom examinations at rest (n=85), during exercise (n=2), and both at rest and during exercise (n=14). Patients were divided into the two groups: Group I consisted of patients with VSA whose chest symptoms occurred only at rest (n=85, 84%) and Group II consisted of patients with VSA whose chest symptoms occurred during exercise (n=16, 16%). On a coronary angiography, the presence of atherosclerosis (% stenosis>25%), significant coronary stenosis (% stenosis>50%), and myocardial bridging (MB), defined as the narrowing of the coronary artery during systole, were checked. Clinical parameters, including angiographic findings, were assessed in the two groups. Results: There were no significant differences in coronary risk factors between the two groups. The presence of atherosclerosis (Group I: 58% vs. group II: 75%) and significant coronary stenosis (Group I: 10% vs. group II: 25%) did not differ between-groups. The presence of MB was significantly higher in Group II (50%) than in Group I (12%, p=0.0002). Logistic regression analysis showed that the presence of MB was associated with patients in Group II. Conclusions: MB, rather than coronary atherosclerosis or significant coronary stenosis, may contribute to chest symptoms during exercise in patients with VSA.
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification

Remote sensing scene classification aims to assign automatically each aerial image a specific sematic label. In this letter, we propose a new method, called self-attention-based deep feature fusion (SAFF), to aggregate deep layer features and emphasize the weights of the complex objects of remote sensing scene images for remote sensing scene classification. First, the pretrained convolutional neural network (CNN) model is applied to extract the abstract multilayer feature maps from the original aerial imagery. Then, a nonparametric self-attention layer is proposed for spatial-wise and channel-wise weightings, which enhances the effects of the spatial responses of the representative objects and uses the infrequently occurring features more sufficiently. Thus, it can extract more discriminative features. Finally, the aggregated features are fed into a support vector machine (SVM) for classification. The proposed method is experimented on several data sets, and the results prove the effectiveness and efficiency of the scheme for remote sensing scene classification.
Oral and Masticatory Rehabilitation Using Osseointegrated Dental Implants After Resective Treatment of Multicystic Ameloblastoma in the Lower Jaw with a Fibula Graft – A Case Report

Aim: Ameloblastoma is an aggressive odontogenic tumor which typically occurs between third and fourth decade of life, that often needs resective approach. Immediate reconstruction may show better results. Methods: The treatment of multicysticameloblastoma in the mandible, being a rare case that occurred in the late second decade of life, which was surgically removed along with the affected teeth with safety margins and the region was immediately reconstructed using a vascularized graft, removed from the fibula. Results: Its integration, in combination with osseointegrated dental implants and fixed implant-supported prostheses, restored chewing function and aesthetics. Conclusion: After 7 years from fibular graft and 36 months of dental implants, an excellent outcome was observed, with oral health and normal functions properly restored and the immediate reconstruction of the mandible in resective cases, associated with oral rehabilitation with dental implants, may be considered a suitable treatment option.
Applied Mathematics and Computation

Theoretical description of epidemics of plant diseases is an invaluable resource for their eﬃcient management. Here we propose a mathematical model for describing the dispersal by wind of fungal pathogens in plant populations. The dispersal of pathogen spores was modelled using a non-local diffusion equation which took into account variations in wind velocity components and contained a threshold in the convolution kernel deﬁning the non-local diffusion term. The model was analyzed and the epidemic levels and patterns of the plant disease were derived, based upon deﬁned assumptions of the time and space variables (i.e., represented by continuous parameters), and the host population (i.e., ﬁxed population size). Numerical applications were then performed using reported characteristic values for wheat leaf rust, stripe rust and stem rust. © 2020 Elsevier Inc
DEVELOPING STAKEHOLDER ARCHETYPES FOR ENHANCED LANDFILL MINING

Understanding the perspectives of different stakeholders on emerging technological concepts is an important step towards their implementation. Enhanced Landfill Mining (ELFM) is one of these emerging concepts. It aims at valorizing past waste streams to higher added values in a sustainable manner. Yet, assessment of ELFM mainly focusses on environmental and private economic issues, and societal impacts are rarely analyzed. This study uses semi-structured interviews to build understanding for different ELFM practitioners and researchers and develops five stakeholder archetypes for ELFM implementation: the engaged citizen, the entrepreneur, the technology enthusiast, the visionary and the skeptic. The archetypes outline major differences in approaching ELFM implementation. The stakeholder perceptions are put into context with existing literature, and implications for ELFM implementation and future research are discussed. Results show that differences in regulatory changes and technology choices are affected by different stakeholder perspectives and more research is needed to balance inner- and inter-dimensional conflicts of ELFM’s sustainability. The developed archetypes can especially be helpful when evaluating social impacts, whose perception often depends on opinion and is difficult to quantify.
DIVERSE FORMS OF GINGIVAL ENLARGEMENT - REPORT OF TWO CASES

Gingival hyperplasia (GH) is an increase in the gingival height or mass due to proliferation and thickening of gingiva. Gingival hyperplasia represents an over-exuberant response to certain inflammatory and genetic factors, drugs, systemic diseases, neoplasms. Hereditary gingival fibromatosis (HGF) is a rare oral disease, affecting only one in 750,000 people. It is characterized by a slow and progressive enlargement of both maxilla and mandibular gingiva. It usually develops as an isolated disorder, but can be one feature of a syndrome. Drug induced gingival enlargement is frequently observed as a side effect with the use of several medications in the susceptible patients. These reports address the diagnosis, treatment and follow up of two separate cases of gingival enlargement.
INTERPLAY BETWEEN DEFICIT IDEOLOGIES AND LEADERS’ SELF-EFFICACY IN DROPOUT PREVENTION: A CASE STUDY OF U.S. URBAN HIGH SCHOOL PRINCIPALS

Researchers examined principals’ perceptions of their abilities and efforts to prevent dropouts in their diverse high schools. Two concepts, self-efficacy and deficit thinking, were used to frame principals’ beliefs. A large urban school district in the southwest region of the country served as the backdrop. The student population was exceptionally diverse. Three high school principals having diverse backgrounds participated. However, in general, the principals interpreted the problem through the lens of their personal background. A sense of empathy was noted throughout their commentaries. A sense of empathy emerged throughout their commentary. Implications for school leaders are discussed
Malignant pleural effusion survival prognostication in an Asian population

LENT and PROMISE scores prognosticate survival in patients with MPE. Prognostication guides the selection of interventions and management. However, the predictive value of these scores and their refinements (modified‐LENT) in Asians remain unclear. We aim to evaluate the performance of LENT, modified‐LENT and clinical PROMISE scores; identify predictors of survival; and develop an alternative prognostication tool should current scores lack accuracy.
Existence and Uniqueness of Solutions to Singular p-Laplace Equations of Kirchhoff Type

Abstract In this paper, we study both the existence and uniqueness of nonnegative solutions for the nonlocal $p$-Laplace equation with singular term $$\begin{eqnarray}\left\{\begin{array}{@{}ll@{}}-B\Bigl(\frac{1}{p}\int _{\unicode[STIX]{x1D6FA}}|\unicode[STIX]{x1D6FB}u|^{p}\text{d}x\Bigr)\unicode[STIX]{x1D6E5}_{p}u=\frac{h(x)}{u^{\unicode[STIX]{x1D6FE}}}+k(x)u^{q},\quad & x\in \unicode[STIX]{x1D6FA},\\ u>0,\quad & x\in \unicode[STIX]{x1D6FA},\\ u=0,\quad & x\in \unicode[STIX]{x2202}\unicode[STIX]{x1D6FA},\end{array}\right. \end{eqnarray}$$ where $\unicode[STIX]{x1D6FA}\subset \mathbb{R}^{N}(N\geqslant 1)$ is a bounded domain with smooth boundary $\unicode[STIX]{x2202}\unicode[STIX]{x1D6FA}$, $h\in L^{1}(\unicode[STIX]{x1D6FA})$, $h>0$ almost everywhere in $\unicode[STIX]{x1D6FA}$, $k\in L^{\infty }(\unicode[STIX]{x1D6FA})$ is a non-negative function, $B:[0,+\infty )\rightarrow [m,+\infty )$ is continuous for some positive constant $m$, $p>1$, $0\leqslant q\leqslant p-1$, and $\unicode[STIX]{x1D6FE}>1$. A “compatibility condition” on the couple $(h(x),\unicode[STIX]{x1D6FE})$ will be given for the problem to admit at least one solution. To be a little more precise, it is shown that the problem admits at least one solution if and only if there exists a $u_{0}\in W_{0}^{1,p}(\unicode[STIX]{x1D6FA})$ such that $\int _{\unicode[STIX]{x1D6FA}}h(x)u_{0}^{1-\unicode[STIX]{x1D6FE}}\text{d}x<\infty$. When $k(x)\equiv 0$, the weak solution is unique.
Migrants leaving mega-cities: Where they move and why prices matter

Traditional economic models predict rural to urban migration during the structural transformation of an economy. In middle-income countries, it is less clear which direction of migration to expect.In this paper I show that in Brazil as many people move out of as into metropolitan cities, and they mostly move to mid-sized towns.I estimate the determinants of out-migrantsA¢â‚¬â„¢ destination choice, accounting for differences in earnings, living costs, and amenities, and I test whether the migrants gain economically by accepting lower wages but enjoying lower living costs.The findings suggest that the destination choice of out-migrants minimizes the costs of moving. On average, city-leavers realize higher real wages, including lowskilled migrants who would lose out in nominal terms.The paper thus provides evidence on economic incentives to leave big cities in a middle-income country.
Numerical Simulation and Experiment of AC Loss in Quasi-Isotropic Superconducting Strand

With the development of REBCO coated conductor (CC), the high temperature superconducting (HTS) strand with high current capacity and quasi-isotropic performance is expected to have a wide application. However, the alternating current (AC) loss is one of the major obstacles. This paper aims to study the AC loss of the quasi-isotropic strand stacked by the second generation (2G) HTS tapes and copper tapes at 77 K. In order to fully understand AC loss characteristics of the stacked-tape conductor, an efficient 3D finite element method (FEM) model based on T–A formulation was adopted in this simulation. The transport AC loss was measured by four-probe method using SR-830 lock-in amplifier at liquid nitrogen (LN2) bath. Moreover, the amplitude and frequency of transport current were also varied in this experiment. The simulation results are consistent with the experiment which is helpful for studying the AC loss of the quasi-isotropic strand.
Experimental Study of Slamming Effects on Wedge and Cylindrical Surfaces

Slamming is a very significant phenomenon that occurs in marine structures operating under extreme conditions. Slamming significantly reduces the design life of floating offshore wind turbines, as well as marine structures, and causes structural damage. Thus, the slamming load should be considered sufficiently during the design phase of the structure, and the results of experiments of good quality should be incorporated. The phenomenon of slamming should be analyzed using peak pressure, width, duration, and dynamic loads that depend on the design and natural frequency of the structure. In the case of a slamming experiment, the deadrise angle shows the greatest pressure between 3° to 10°. In this study, pressure values were compared using a model with a deadrise angle of 10° and a cylinder model most commonly used for the fabrication and installation of offshore structures. The peak pressure of the cylindrical model is greater than those of the flat model and the wedge model with a 10° deadrise angle. Pressure and strain were measured using free drops from heights of 1.0 and 1.7 m from the water surface, and the elastic effects were studied accordingly. Also, the peak pressure due to a slamming impact occurs several times depending on the natural frequency of the structure. In order to understand the behavior of the structure against the elastic effect, the second peak in the experimental results was theoretically and experimentally analyzed. The second pressure peak is greater than the first pressure peak due to the elastic behavior effects based on the natural frequency of models used in the slamming test. Also, a single slamming results in several peak pressures and it greatly deteriorates the fatigue strength. Experiments and simulations were carried out to derive the effects of repeated slamming loads on the structure. In the structural design considering the slamming loads, information on the elastic effect of the structure and accumulated loads is very important. This can be an important variable in the design of the floater and can play an important role in assessing the impact on the floater. These results raise questions as to the extent that slamming pressures are replaced with equivalent hydrostatic pressures in most design rules of the recognized certification society.
RETRACTED ARTICLE: The intelligent method of public opinion polarisation modelling and simulation analysis based on multi-dimensional and multi-level evaluation

We, the Editors and Publisher of the journal Behaviour & Information Technology, have retracted the following article which was part of the Special Issue on Behaviour Monitoring and Management of Customers, People and Organizations using Deep Learning: Chunhua Ju, Jie Wang & Jiawen Shi (2020) The intelligent method of public opinion polarisation modelling and simulation analysis based on multi-dimensional and multi-level evaluation, Behaviour & Information Technology, DOI: 10.1080/0144929X.2019. 1708972 After publication it came to our attention that the person named as the Guest Editor of the Special Issue was impersonated by a fraudulent entity and the articles were not reviewed fully in line with the journal’s peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract the articles. The authors have been informed of this decision. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.
Devosia ginsengisoli sp. nov., isolated from ginseng cultivation soil.

A Gram-stain-negative, strictly aerobic, motile, ivory-coloured and rod-shaped bacterium (designated Gsoil 520T) isolated from ginseng cultivation soil was characterized by using a polyphasic approach to clarify its taxonomic position. Strain Gsoil 520T was observed to grow optimally at 30 °C and pH 7.0 on Reasoner's 2A agar medium. The results of phylogenetic analysis, based on 16S rRNA gene sequence similarities, indicated that Gsoil 520T belongs to the genus Devosia of the family Hyphomicrobiaceae and was most closely related to Devosia epidermidihirudinis E84T (98.0 %), Devosia yakushimensis Yak96BT (97.7 %), Devosia neptuniae J1T (97.7 %) and Devosia chinhatensis IPL18T (96.8 %). The complete genome of strain Gsoil 520T is a presumptive circular chromosome of 4 480 314 base pairs having G+C content of 63.7 mol%. A total of 4 354 genes, 4 303 CDS and 43 rRNA genes were assigned a putative function. The major isoprenoid quinone was Q-10. The main polar lipids were phosphatidylglycerol, diphosphatidylglycerol and two unidentified aminolipids (AL1 and AL3). The predominant fatty acids of strain Gsoil 520T were C18 : 1ω7c 11-methyl, C16 : 0 and C18 : 1ω7c/C18 : 1ω6c (summed feature 8) supporting the affiliation of strain Gsoil 520T to the genus Devosia. The low values of DNA-DNA hybridization distinguished strain Gsoil 520T from the recognized species of the genus Devosia. Thus, the novel isolate represents a novel species of the genus Devosia, for which the name Devosia ginsengisoli sp. nov. is proposed, with the type strain Gsoil 520T (=KACC 19440T=LMG 30329T).
Terahertz field–induced ferroelectricity in quantum paraelectric SrTiO[subscript 3]

“Hidden phases” are metastable collective states of matter that are typically not accessible on equilibrium phase diagrams. These phases can host exotic properties in otherwise conventional materials and hence may enable novel functionality and applications, but their discovery and access are still in early stages. Using intense terahertz electric field excitation, we show that an ultrafast phase transition into a hidden ferroelectric phase can be dynamically induced in the quantum paraelectric SrTiO 3 . The induced lowering in crystal symmetry yields dramatic changes in the phonon excitation spectra. Our results demonstrate collective coherent control over material structure, in which a single-cycle field drives ions along the microscopic pathway leading directly to their locations in a new crystalline phase on an ultrafast timescale.
Erfahrungen mit Rivaroxaban bzw. Dabigatran

Die Behandlung mit Phenprocumon und Protein C bot einer Patientin mit schwerem angeborenem Protein-C-Mangel lange Zeit sicher den sichersten Schutz vor thromboembolischen Ereignissen. Die nachlassende Wirksamkeit von Phenprocumon führte zu Purpura-fulminans-ähnlichen Erscheinungen. Rivaroxaban und Dabigatran wurden deshalb alternativ eingesetzt. In normaler Dosierung konnten sie die Patientin nicht ausreichend schützen. Aktuell erfolgt ihre Behandlung mit Protein C und Enoxaparin.
The identification and related application of kinetically efficient patterns in jazz guitar improvisation

Since the release of ‘Kind of Blue’ in 1959 by Miles Davis, various approaches to jazz improvisation have become more modal. Scales and their various modes has become a welldocumented topic in music education. Through my own teaching I have noticed that learners do understand the theory and various applications of chord scales on harmonic structures but often fall short in the practical implementation on their instrument during improvisation. Lack of quick visualization of the various scale patterns by learners has proved to be more of a physical than musical issue. This leads to the research question: How do kinetically efficient actions and patterns interact to enable an improvising guitarist to navigate the fretboard most effectively? Pat Martino (1983) introduced a reduction concept where five master areas of activity based around minor patterns across the fretboard were identified. These five minor patterns were moved through various keys with slight fingering variations. Through my studies with John Fourie we explored the Martino reduction concept from a Dorian point of view. By recycling these Dorian patterns and application of a set of formulas, all seven modes of the major scale could be implemented in any key on the fretboard. Martino’s minor concept provided the foundation for this project, as well as further exploration under guidance of Johnny Fourie from 1998-2007. Five skilled participants performed various tasks from memory in the practical execution of master scale patterns and their intervallic formulas. Economy and efficiency were tested through vertical as well as horizontal movement across the fretboard by means of IPA, video recordings of semi-structured interviews and active research. This project finds that the standard tuning system of the guitar bids affordance to the improviser through implementation of a reduction concept with chunking of master scale patterns and their various intervallic applications. Through effective practice, repetition and practical application of these master scale patterns and intervallic formulas, effectivities become available during improvisation. It was found that the affordances of the instrument remain the same for various participants in the research undertaking, but their effectivities are variable and directly influenced by the participants’ individual perceptions and practical competencies.
Automatic Face and Hijab Segmentation using Convolutional Network

: Taking pictures and Selfies are now very common and frequent between people. People are also interested in enhancing pictures using different image processing techniques and sharing them on social media. Accurate image segmentation plays an important role in portrait editing, face beautification, human identification, hairstyle identification, airport Surveillance system and many other computer vision problems. One specific functionality of interest is automatic face and veil segmentation as this allows processing each separately. Manual segmentation can be difficult and annoying especially on smartphones small screen. In this paper, the proposed model uses fully convolutional network (FCN) to make semantic segmentation into skin, veil and background. The proposed model achieved an outperforming result on the dataset which consists of 250 images with global accuracy 92% and mean accuracy 92.69.
A hybrid stabilization approach for reduced‐order models of compressible flows with shock‐vortex interaction

Model order reduction approaches, such as proper orthogonal decomposition (POD)‐Galerkin projection, provide a systematic manner to construct Reduced‐Order Models (ROM) from pregenerated high‐fidelity datasets. The current study focuses on the stabilization of ROMs built from high‐fidelity simulation data of a supersonic flow passing a circular cylinder, which features strong interactions between shockwaves and vortices. As shown in previous literatures and the current study, an implicit subspace correction (ISC) method is efficient in the stabilization of similar problems, but its accuracy is not consistent when applied on different ROMs; on the other hand, an eigenvalue reassignment (ER) method delivers superb accuracy when the mode number is small, but becomes too expensive and less robust as the number increases. A Hybrid method is proposed here to balance the computational cost while improving the overall robustness/accuracy in ROM stabilization. The Hybrid method first handles the majority of the modes using the ISC method and then applies the ER method to fine tune a smaller number of modes under a constraint for accuracy. Furthermore, when the typical L2 inner product is changed to a symmetry inner product in both POD computation and Galerkin projection, the performance of the stabilized ROMs is substantially improved for all methods.