Miracle-dz/UniFAR-FTUs huggingface dataset:
International trends in pulmonary neuroendocrine cancer studies:a scientometric study

ABSTRACT Introduction Pulmonary neuroendocrine tumors account for approximately 20% of all primary lung tumors. Few studies summarize the current body of pulmonary neuroendocrine tumors studies worldwide. Objective A quantitative scientometric analysis was conducted to evaluate the development of applications and innovations and to analyze their contribution to various areas of improvement in treatment and diagnosis of pulmonary neuroendocrine tumors. Methods We searched for studies published in the last 20 years in the databases United States National Library of Medicine (PubMed), Scientific Electronic Library Online (SciELO), Scopus, and Web of Science, using the terms ‘pulmonary neuroendocrine tumors’, ‘bronchial neuroendocrine tumors’, ‘bronchial carcinoid tumors’, ‘pulmonary carcinoid’, ‘typical pulmonary carcinoid’, ‘atypical pulmonary carcinoid’, ‘pulmonary carcinoid and diagnosis’, ‘pulmonary carcinoid and treatment’, ‘pulmonary carcinoid and epidemiology’ and ‘pulmonary carcinoid and prognosis’. Results Our results showed the number of publications increased significantly over the study period and was strongly associated with the economic or financial situation of the publications’ countries of origin. We observed a predominance of studies on histological diagnosis compared to treatment, and among the studies related to treatment, a predominance of retrospective studies relative to prospective studies was found. Conclusion Based on the published literature, we concluded research on pulmonary neuroendocrine tumors still seems to be incipient, because it favors studies related to histological characterization of the disease, and therapeutic studies are still predominantly of a retrospective nature.
SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images

Symmetry is ubiquitous in everyday objects. Humans tend to grasp objects by recognizing the symmetric regions. In this letter, we investigate how symmetry could boost robotic grasp detection. To this end, we present a learning-based method for detecting grasp from single-view RGB-D images. The key insight is to explicitly incorporate symmetry estimation into grasp detection, improving the quality of the detected grasps. Specifically, we first introduce a new grasp parameterization in grasp detection for parallel grippers based on symmetry. Based on this representation, a symmetry-aware grasp detection network method is present to simultaneously estimate object symmetry and detect grasp. We find that the learning of grasp detection greatly benefits from symmetry estimation, improving the training efficiency and the grasp quality. Besides, to facilitate the cross-instance generality of grasping unseen objects, we propose Principal-directional scale-Invariant Feature Transformer (PIFT), a plug-and-play module, that allows spatial deformation of points during the feature aggregation. The module essentially learns feature invariance to anisotropic scaling along the shape principal directions. Extensive experiments demonstrate the effectiveness of the proposed method. In particular, it outperforms previous methods, achieving state-of-the-art performance in terms of grasp quality on GraspNet-1-Billion and success rate on a real robot grasping experiment.
A univalence criterion for meromorphic functions

A sufficient univalence condition for meromorphic functions is given. 1. Let f denote a meromorphic and locally univalent function in E = {z : |z| > 1}, that is, f ′(z) 6= 0 and any pole of f is simple. In this note we give a univalence criterion for f in terms of the Schwarz derivative defined by Sf (z) = ( f ′′(z) f ′(z) )′ − 1 2 ( f ′′(z) f ′(z) )2 . Epstein (see for example [4]) gives the following univalence criterion for meromorphic and locally univalent functions in the unit disk D = {z : |z| < 1}. Theorem E. Let f be meromorphic and g holomorphic in D. If both functions are locally univalent in D and if ∣∣∣12(1− |z|)(Sf (z)− Sg(z)) + (1− |z|)z g′′(z) g′(z) ∣∣∣∣ ≤ 1 , z ∈ D , then f is univalent in D. In this section we transfer Theorem E to the exterior of the unit disk, which cannot be obtained immediately from Theorem E. Theorem 1. Let f and g be meromorphic and locally univalent functions in E and let g(ζ) = bζ+b0 +b1/ζ+. If there exists a holomorphic function h in E with Reh ≥ 1/2 in E and h(ζ) = 1 + h2/ζ + . such that (1) ∣∣∣12(|ζ|2 − 1)(Sf (ζ)− Sg(ζ))ζζ̄ h(ζ) −(|ζ| − 1) ( ζh′(ζ) h(ζ) + ζg′′(ζ) g′(ζ) ) − h(ζ)− 1 h(ζ) |ζ| ∣∣∣∣ ≤ 1, ζ ∈ E , 1991 Mathematics Subject Classification: 30A36.
A Large Convective-Core Overshoot in \textit{Kepler} Target KIC 11081729

The frequency ratios $r_{01}$ and $r_{10}$ of KIC 11081729 decrease firstly and then increase with the increase in frequency. For different spectroscopic constraints, all models with overshooting parameter $\delta_{\mathrm{ov}}$ less than 1.7 can not reproduce the distributions of the ratios. However, the distributions of the ratios can be directly reproduced by models with $\delta_{\mathrm{ov}}$ in the range of about $1.7-1.8$. The estimations of mass and age of the star can be affected by spectroscopic results, but the determination of the $\delta_{\mathrm{ov}}$ is not dependent on the spectroscopic results. A large overshooting of convective core may exist in KIC 11081729. The characteristics of $r_{01}$ and $r_{10}$ of KIC 11081729 may result from the effects of the large overshooting of convective core. The distributions of $r_{01}$ and $r_{10}$ of different stars with a convective core can be reproduced by the function $B(\nu_{n,1})$. If the value of the critical frequency $\nu_{0}$ is larger than the value of frequency of maximum oscillation power $\nu_{max}$, a star may have a small convective core and $\delta_{\rm ov}$. But if the value of $\nu_{0}$ is less than that of $\nu_{max}$, the star may have a large convective core and $\delta_{\mathrm{ov}}$. The function aids in determining the presence of convective core and the size of the convective core including overshooting region from observed frequencies. The determination is not dependent on the calculation of stellar models.
Efficiency Analysis for Inductive Power Transfer Using Segmented Parallel Line Feeder

SUMMARY Parallel line feeder (PLF) consisting of a two-wire transmission line operating in the MHz band has been proposed as a wide-coverage short-distance wireless charging. In the MHz band, a PLF of several meters su ﬀ ers from standing wave e ﬀ ect, resulting in ﬂuctuation in power transfer e ﬃ ciency accordingly to the receiver’s position. This paper studies a modiﬁed version of the system, where the PLF is divided into individually compensated segments to mitigate the standing wave e ﬀ ect. Modelling the PLF as a lossy transmission line, this paper theoretically shows that if the segments’ lengths are properly determined, it is able to improve and stabilize the e ﬃ ciency for all positions. Experimental results at 27.12 MHz conﬁrm the theoretical analysis and show that a fairly high e ﬃ ciency of 70% can be achieved.
A spatial analysis of happiness

In this study, the differences in the spatial pattern of happiness will be revealed and the distribution of the relationship between happiness and economic variables between countries will be discussed. When the distribution pattern is examined, it can be observed that happy and unhappy countries are concentrated in certain areas. Therefore, the concept of happiness has been evaluated from a geographical point of view. From the analysis of 147 countries in this study, it was found that economic freedom and GDP have a positive effect on happiness whereas inflation and unemployment have a negative effect. A striking result was that in addition to the relevant economic variables, location is also effective in the interpretation of happiness. One of the significant results of the study was that geography is a factor to consider in investigating the relationship between economic variables and happiness.
Phenolic Acid Patterns in Different Plant Species of Families Asteraceae and Lamiaceae: Possible Phylogenetic Relationships and Potential Molecular Markers

Nowadays, investigations of some specific secondary metabolites estimated near 10,000 various compounds of phenolic nature in different plant species. The interest in natural compounds is not only due to their antioxidant potential, but also to their economic impact, as most of them may be extracted from underexploited plant species. The presented research work presents an extended analysis of the most important phenolic acids of the selected known and underexploited plant species from the families Asteraceae and Rosaceae with the development of phylogenic tree analysis according to the nonparametric rate smoothing (NPRS) methods. HPLC-UV analysis revealed the original spectrum of phenolic acids in selected known and underexploited plant species of the families Rosaceae and Asteraceae. The analysis of phenolic acid’s contribution from their total amount in the methanolic extract in Asteraceae found the high percentage of syringic acid in leaves varied between 64.13% and 95.13%. The detected high contribution of syringic acid among estimated phenolic acids in Asteraceae leaves suggests its possible prevalence in the representatives of the family Asteraceae. The content of draconic acid in the leaves of most representatives of the family Rosaceae which represented more than 30% of total phenolic acid content. The high presence of such phenolic acids may relate to the antioxidant activity of the studied herbal extracts.
Hardness Assessment Considering Nitrided Layers Based on Tempering Tests for Numerical Wear Prediction for Forging Processes

The nitriding of forging tools is an industrially established standard used to increase the hardness of the tool surface layer and reduce wear. However, this modification of the tool surface layer, as well as the microstructural changes that occur during this operation due to the thermo-mechanical load, cannot be considered during wear calculations with the widely used Archard wear model in the context of FE simulations. Based on previous work, this study further develops two tempering tests for the investigation of the hardness evolution of two nitride profiles based on H11 tool steel. Here, significant tempering effects could be observed depending on temperature, mechanical stress superposition and time. The results are used for setting up a new material model that is implemented in an existing numerical wear model. The validation is carried out in two laboratory forging test series. The evaluation shows that the hardness development in terms of tempering effects of a nitrided forging tool can be numerically predicted, especially for high forging cycles. However, due to the unexpected occurrence of adhesion effects, only limited applicability of the wear prediction then carried out is achieved.
Potential Correlation between Microbial Diversity and Volatile Flavor Compounds in Different Types of Korean Dry-Fermented Sausages

The microbial community in fermented sausages plays an important role in determining their quality characteristics. The objective of this study was to investigate the correlation between microbial diversity and volatile compounds in dry-fermented sausages procured from different regions of Korea. Results from metagenomics analysis showed that Lactobacillus and Staphylococcus were the predominant bacterial genera, and Penicillium, Debaryomyces, and Candida were the predominant fungal genera. Twelve volatile compounds were detected using an electronic nose. Leuconostoc exhibited a positive correlation with esters and volatile flavor, whereas Debaryomyces, Aspergillus, Mucor, and Rhodotorula exhibited a negative correlation with methanethiol, thus revealing the involvement of the microorganisms in flavor formation. The results of this study may help in understanding the microbial diversity of dry-fermented sausages in Korea and provide a rationale and quality control guideline through potential correlation with volatile flavor analysis.
Application of Graphene Nanoplatelets in Supercapacitor Devices: A Review of Recent Developments

As worldwide energy consumption continues to increase, so too does the demand for improved energy storage technologies. Supercapacitors are energy storage devices that are receiving considerable interest due to their appealing features such as high power densities and much longer cycle lives than batteries. As such, supercapacitors fill the gaps between conventional capacitors and batteries, which are characterised by high power density and high energy density, respectively. Carbon nanomaterials, such as graphene nanoplatelets, are being widely explored as supercapacitor electrode materials due to their high surface area, low toxicity, and ability to tune properties for the desired application. In this review, we first briefly introduce the theoretical background and basic working principles of supercapacitors and then discuss the effects of electrode material selection and structure of carbon nanomaterials on the performances of supercapacitors. Finally, we highlight the recent advances of graphene nanoplatelets and how chemical functionalisation can affect and improve their supercapacitor performance.
KNOWLEDGE DISCOVERY AND VISUAL ANALYTICS IN A DATA-DRIVEN BUSINESS ENVIRONMENT

Nowadays, becoming data centric and insights driven is a critical strategy for nearly all businesses. Data can be regarded today as oxygen, which is needed in order to thrive in the data-driven business environment, as they conceal ample opportunities for business organizations for discovering new insights and knowledge. Visual analytics has become an indispensable part of business, as it enables analysts to explore data via visualizations and discover knowledge in innovative ways. Visual representations of information reduce complex cognitive efforts required to perform certain tasks. However, converting data into meaningful visualizations is not a trivial task and it cannot necessarily be automatically improved by continuously increasing computational capacity. The purpose of this study is to examine why visualization is critical in today’s business organizations for innovative knowledge discovery and what drives knowledge discovery in the context of visual culture in organizations. The study attempts to explain what facilitates the process of knowledge discovery from the holistic perspective including the role of an analyst (human discourse), the tool-based viewpoint in terms of features and the organizational perspective in terms of the visual culture concept. It also encompasses the notion of visual discovery by design and endeavors to contemplate its implications in the knowledge discovery process. In order to fulfil the purpose of the study, an appropriate theoretical background was built initially. Further, mixed research methods were applied to the study. The qualitative data were collected in the form of semi-structured interviews. Afterwards, a survey was conducted to collect quantitative data. The target group for both qualitative and quantitative data collections comprised business analysts. Finally, the thesis provides evaluations of the findings while comparing the literature review results in a discussion form and giving concluding points.
‘Molecular Beam Epitaxy’ on Organic Semiconductor Single Crystals: Characterization of Well-Defined Molecular Interfaces by Synchrotron Radiation X-ray Diffraction Techniques

Epitaxial growth, often termed “epitaxy”, is one of the most essential techniques underpinning semiconductor electronics, because crystallinities of the materials seriously dominate operation efficiencies of the electronic devices such as power gain/consumption, response speed, heat loss, and so on. In contrast to already well-established epitaxial growth methodologies for inorganic (covalent or ionic) semiconductors, studies on inter-molecular (van der Waals) epitaxy for organic semiconductors is still in the initial stage. In the present review paper, we briefly summarize recent works on the epitaxial inter-molecular junctions built on organic semiconductor single-crystal surfaces, particularly on single crystals of pentacene and rubrene. Experimental methodologies applicable for the determination of crystal structures of such organic single-crystal-based molecular junctions are also illustrated.
Developing Process for Selecting Research Techniques in Urban Planning and Urban Design with a PRISMA-Compliant Review

Choosing the proper research methods can pose a challenge for novice urban planners and designers. This study aimed to develop a more effective process for assisting urban planners and designers in selecting appropriate research techniques. The study used bibliometrics, systematic reviews, meta-analyses, and storytelling techniques as examples of urban planning and urban design research techniques. The results of this study provide techniques and procedures that can help urban planners and designers to conduct research reviews and follow the previous documented works published in the field. By utilizing suggested techniques and procedures, conclusive conclusions in urban planning and design research can be formed on the basis of compelling evidence. This study recommends developing a further innovative research methodology based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses by improving documentation and dissemination of research reviews.
Elastic anomaly and aging of new type of incommensurate phase transition in ferroelectric barium sodium niobate

The lattice instability of the incommensurate (IC) phase transition of uniaxial ferroelectric Ba2NaNb5O15 (BNN) was investigated by micro-Brillouin scattering. Spectra of the longitudinal acoustic (LA) mode were observed from room temperature to 750 K. In the vicinity of the IC phase transition temperature TIC = 573 K, elastic anomalies in the form of a sharp peak in the sound velocity and thermal hysteresis during the heating and cooling cycle were observed. During this transition, the crystal point group changed from tetragonal 4mm to orthorhombic 2mm along with the IC modulation. In order to deepen our understanding of the thermal hysteresis, aging experiment in the IC phase was conducted. We can conclude that the appearance of thermal hysteresis related to the relaxation of ferroelastic strain is related to the feature of the new type III IC phase transition mechanism of BNN.
Design and Analysis of Techniques for Multiple-Instance Learning in the Presence of Balanced and Skewed Class Distributions

With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, the Internet, and finance, it becomes critical to advance the fundamental understanding of knowledge discovery and analysis from raw data to support decision-making processes. Existing knowledge discovery and data analyzing techniques have shown great success in many real-world applications such as applying Automatic Target Recognition (ATR) methods to detect targets of interest in imagery, drug activity prediction, computer vision recognition, and so on. Among these techniques, Multiple-Instance (MI) learning is different from standard classification since it uses a set of bags containing many instances as input. The instances in each bag are not labeled — instead the bags themselves are labeled. In this area many researchers have accomplished a lot of work and made a lot of progress. However, there still exist some areas which are not covered. In this thesis, we focus on two topics of MI learning: (1) Investigating the relationship between MI learning and other multiple pattern learning methods, which include multi-view learning, data fusion method and multi-kernel SVM. (2) Dealing with the class imbalance problem of MI learning. In the first topic, three different learning frameworks will be presented for general MI learning. The first uses multiple view approaches to deal with MI problem, the second is a data fusion framework, and the third framework, which is an extension of the first framework, uses multi-kernel SVM. Experimental results show that the approaches presented work well on solving MI problem. The second topic is concerned with the imbalanced MI problem. Here we investigate the performance of learning algorithms in the presence of underrepresented data and severe class distribution skews. For this problem, we propose three solution frameworks: a data re-sampling framework, a cost-sensitive boosting framework and an adaptive instanceweighted boosting SVM (with the name IB SVM) for MI learning. Experimental results — on both benchmark datasets and application datasets — show that the proposed frameworks are proved to be effective solutions for the imbalanced problem of MI learning.
Widespread SiO Emission in NGC 1333

We have mapped the IRAS 4-SVS 13 region in the NGC 1333 star-forming complex in the SiO v=0 lines at 3, 2, and 1.3 mm using the IRAM 30 m telescope. In addition to high-velocity components associated with protostellar activity in IRAS 4 and other sources, we report the detection of an extended layer of gas at ambient velocities, traced by an extremely narrow and fairly bright component (Δv=0.4-1.2 km s-1, TB=2 K). The SiO abundance in that layer is typically 1-3×10−10. This is 2 orders of magnitude lower than in the high-velocity flows but about 2 orders of magnitude higher than the abundance in quiescent clouds. Several mechanisms that could account for such emission are briefly discussed: high-temperature chemical reactions in the gas surrounding the protostellar wind of SVS 13 and interaction between the neighboring protostellar outflows and local small gas condensations in the vicinity of IRAS 4.
Rapid Microstructure Homogenization of a Laser Melting Deposition Additive Manufactured Ti-6.5Al-3.5Mo-1.5Zr-0.3Si Alloy by Electropulsing

The typical microstructure of the laser melting deposition (LMD) additive-manufactured Ti-6.5Al-3.5Mo-1.5Zr-0.3Si alloy (TC11) contains the heat-affected bands (HABs), the narrow bands (NBs) and the melting pools (MPs) that formed due to the reheating and superheating effects during the layer-by-layer manufacturing process. Characterization results indicated that the coarse primary α lath (αp) and transformed β (βt) structures were located in the HABs, while the fine basketweave structure was formed inside the MPs. The rapid modifications of microstructure and tensile properties of the LMD-TC11 via electropulsing treatment (EPT) were investigated. The initial heterogeneous microstructure transformed into a complete basketweave structure and the HABs vanished after EPT. Thus, a more homogeneous microstructure was achieved in the EPT sample. The ultrafast microstructural changes were mainly attributed to the solid state phase transformation during electropulsing. The tensile properties of the sample were basically stable, except that the yield strength decreased as EPT voltage increased. This study suggests that EPT could be a promising method to modify the microstructure and mechanical properties of the additive-manufactured alloys in a very short time.