Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals

PurposeThis paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals.Design/methodology/approachBased on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading.FindingsIt is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn.Originality/valueThis study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.
Sparse depth map reconstruction from image sequences of the buildings

This paper presents an improved cooperative matching algorithm based on feature regions. The proposed algorithm uses normal vector in each pixel position of the whole images to extract the feature regions of image sequences of buildings. In order to obtain a sparse depth map, matching areas are limited to feature regions rather than whole images. The image similarity of each pixel is defined as match value. Iteratively update match values and make the match values convergent. For each pixel, the pixel and disparity which the maximum match value corresponds to are regarded as matching results. By using feature regions extraction of image sequences, not only can the reconstruction process be further simplified, the running speed can also be increased. The experimental results show that our method is effective and can avoid mismatching in some regions which are texture-less or have sparse texture. Meanwhile, the problem of large computation is solved by pruning unnecessary matching regions.
An OT Approach on the Word Order of Hakka Focus and Topic Constructions

This paper adopts an Optimality Theoretic approach to analyze the basic word orders of Hakka involving the subject, verb, object, and additional PPs. As argued in this paper, in Hakka the sentence-initial constituent should be identified as the topic, and the second preverbal position is associated with the focus position. Here a set of constraint ranking consisting of three generalized alignment constraints is proposed, which successfully accounts for the association of the word order variants with their pragmatic functions. This paper also discusses VP constructions that involve a complement or an adjunctive PP. While the positioning of adjunct PPs follows the general word order predictions; contrastively, it is specifically argued that a complement PP is incompatible with extraposition; in other words, a complement PP is never topicalized or focalized in sentences. With a separate OT analysis being applied on the pragmatic level, this paper uses a syntactic restriction against preverbal complement PPs to explain this phenomenon in Hakka.
Application of the mineral-binding protein fetuin-A for the detection of calcified lesions

Rationale: Calcium plays an essential role in the biology of vertebrates. Calcium content in body fluids is maintained within a narrow physiologic range by feedback control. Phosphate is equally important for metabolism and is likewise controlled, albeit over a wider range. This results in a nearly supersaturated state of calcium phosphate in body liquids driving mineral precipitation in soft tissues, which is actively prevented by calcification inhibitors. The hepatic plasma protein fetuin-A is a circulating mineralization inhibitor regulating calcium phosphate crystal growth and calcified matrix metabolism. Ectopic mineralization is associated with many pathological conditions aggravating their outcome. Current diagnostic methods lack sensitivity towards microcalcifications representing the initial stages of the process. Given the irreversibility of established calcifications, novel diagnostic tools capable of detecting nascent calcium phosphate deposits are highly desirable. Methods: We designed fluorescent fusion proteins consisting of fetuin-A coupled to a green or red fluorescent protein derivate, mEmerald or mRuby3, respectively. The proteins were expressed in mammalian cell lines. Sequence optimization resolved folding issues and increased sensitivity of mineral binding. Chimeric proteins were tested for their ability to detect calcifications in cell cultures and tissue sections retrieved from calcification-prone mice. Results: We employed novel genetically labeled fetuin-A-based fluorescent proteins for the detection of ectopic calcifications. We show that fetuin-A-based imaging agents are non-toxic and suitable for live imaging of microcalcifications beyond the detection limit of conventional staining techniques. The ability of fetuin-A to preferentially bind nascent calcium phosphate crystals allowed the resolution of histopathological detail of early kidney damage that went previously undetected. Endogenous expression of fetuin-A fluorescent fusion proteins allowed extended live imaging of calcifying cells with unprecedented sensitivity and specificity. Conclusion: Ectopic microcalcifications represent a major clinical concern lacking effective diagnostic and treatment options. In this paper, we describe novel highly sensitive fetuin-A-based fluorescent probes for imaging microcalcifications. We show that fusion proteins consisting of a fetuin-A mineral binding moiety and a fluorescent protein are superior to the routine methods for detecting calcifications. They also surpass in continuous live cell imaging the chemically fluorescence labeled fetuin-A, which we established previously.
Cell-free DNA in maternal blood and artiﬁcial intelligence: accurate prenatal detection of fetal congenital heart defects

BACKGROUND: DNA cytosine nucleotide methylation (epigenomics and epigenetics) is an important mechanism for controlling gene expression in cardiac development. Combined artiﬁcial intelligence and whole-genome epigenomic analysis of circulating cell-free DNA in maternal blood has the potential for the detection of fetal congenital heart defects. OBJECTIVE: This study aimed to use genome-wide DNA cytosine methylation and artiﬁcial intelligence analyses of circulating cell-free DNA for the minimally invasive detection of fetal congenital heart defects. STUDY DESIGN: In this prospective study, whole-genome cytosine nucleotide methylation analysis was performed on circulating cell-free DNA using the Illumina Inﬁnium MethylationEPIC BeadChip array. Multiple artiﬁcial intelligence approaches were evaluated for the detection of congenital hearts. The Ingenuity Pathway Analysis program was used to identify gene pathways that were epigenetically altered and important in congenital heart defect pathogenesis to further elucidate the pathogenesis of isolated congenital heart defects. RESULTS: There were 12 cases of isolated nonsyndromic congenital heart defects and 26 matched controls. A total of 5918 cytosine nucleotides involving 4976 genes had signiﬁcantly altered methylation, that is, a P value of < . 05 along with (cid:1) 5% whole-genome cytosine nucleotide methylation difference, in congenital heart defect cases vs controls. Artiﬁcial intelligence analysis of the methylation data achieved excellent congenital heart defect predictive accuracy (areas under the receiver operating characteristic curve, (cid:1) 0.92). For example, an artiﬁcial intelligence model using a combination of 5 whole-genome cytosine nucleotide markers achieved an area under the receiver operating characteristic curve of 0.97 (95% conﬁdence interval, 0.87 e 1.0) with 98% sensitivity and 94% speciﬁcity. We found epigenetic changes in genes and gene pathways involved in the following important cardiac developmental pro-cesses: “cardiovascular system development and function,” “cardiac hypertrophy,” “congenital heart anomaly,” and “cardiovascular disease. ” This lends biologic plausibility to our ﬁndings. CONCLUSION: This study reported the feasibility of minimally invasive detection of fetal congenital heart defect using artiﬁcial intelligence and DNA methylation analysis of circulating cell-free DNA for the prediction of fetal congenital heart defect. Furthermore, the ﬁndings supported an important role of epigenetic changes in congenital heart defect development.
Audio-Based Wildﬁre Detection on Embedded Systems

: The occurrence of wildﬁres often results in signiﬁcant fatalities. As wildﬁres are notorious for their high speed of spread, the ability to identify wildﬁre at its early stage is essential in quickly obtaining control of the ﬁre and in reducing property loss and preventing loss of life. This work presents a machine learning wildﬁre detecting data pipeline that can be deployed on embedded systems in remote locations. The proposed data pipeline consists of three main steps: audio preprocessing, feature engineering, and classiﬁcation. Experiments show that the proposed data pipeline is capable of detecting wildﬁre effectively with high precision and is capable of detecting wildﬁre sound over the forest’s background soundscape. When being deployed on a Raspberry Pi 4, the proposed data pipeline takes 66 milliseconds to process a 1 s sound clip. To the knowledge of the author, this is the ﬁrst edge-computing implementation of an audio-based wildﬁre detection system.
A systematic survey for distant galaxy clusters

A photographic survey for faint clusters of galaxies has been carried out with fine-grained photographic emulsions using the 1.2 m Schmidt and 5 m Hale telescopes, as well as the 4 m Mayall telescope. A total of 418 clusters have been found with redshifts mostly in the range from 0.15 to 0.92. The survey was planned to minimize distance-dependent selection effects in the resulting catalog. In areas of sky where the deepest search was made, the sample is complete to about z = 0.50; there are 11 clusters per square degree at this limit. At a redshift of 1.0 there should be 63 or 45 clusters per square degree depending on whether q0 is 0.0 or 0.5, provided there is no evolution.
Theranostic Cancer Treatment Using Lentinan-Coated Selenium Nanoparticles and Label-Free CEST MRI

Selenium nanoparticle (SeNP)-based nanotherapeutics have become an emerging cancer therapy, while effective drug delivery remains a technical hurdle. A theranostic approach, through which imaging companions are integrated with SeNPs, will allow image-guided drug delivery and, therefore, is highly desirable. Traditional methods require the chemical conjugation of imaging agents to the surface of nanoparticles, which may impede the later clinical translation. In this study, we developed a label-free strategy in which lentinan-functionalized SeNPs (LNT-SeNPs) are detected using MRI by the hydroxyl protons carried on LNT molecules. The in vitro phantom study showed that LNT and LNT-SeNPs have a strong CEST signal at 1.0 ppm apart from the water resonance, suggesting an in vivo detectability in the µM concentration range. Demonstrated on CT26 colon tumor cells, LNT-SeNPs exert a strong anticancer effect (IC50 = 4.8 μM), prominently attributed to the ability to generate intracellular reactive oxygen species. However, when testing in a mouse model of CT26 tumors, administration of LNT-SeNPs alone was found unable to deliver sufficient drugs to the tumor, leading to poor treatment responses. To improve the drug delivery, we co-injected LNT-SeNPs and TNF-α, a previously reported drug that could effectively damage the endothelial cells in the tumor vasculature, thereby increasing drug delivery to the tumor. Our results revealed a 75% increase in the intratumoral CEST MRI signal, indicating a markedly increased delivery efficiency of LNT-SeNPs when combined with TNF-α. The combination therapy also resulted in a significantly enhanced treatment outcome, as revealed by the tumor growth study. Taken together, our study demonstrates the first label-free, SeNP-based theranostic system, in which LNT was used for both functional surface coating and CEST MRI signal generating. Such a theranostic LNT-SeNP system is advantageous because it requires chemical labeling and, therefore, has high biocompatibility and low translatable barriers.
Long-term variability in 12.2-GHz 20 – 3-1 E-methanol masers and new detections towards 6.6-GHz 51 – 60 A+-methanol masers

Five bright 12.2-GHz E-methanol masers monitored in 1987 have been reobserved four years later. During this interval, the masers varied internally by less than 15-20 per cent, with the exception of single components in two sources. 14 star-forming regions with the brightest 6.6-GHz A + -methanol masers (≥ 100 Jy), but without known 12.2-GHz counterparts, were searched in the 12.2-GHz E-methanol transition, and 10 new masers were detected. These data support the hypothesis that 6.6-GHz A-methanol and 12.2-GHz E-methanol masers are always found together
Rotation curves from baryonic infall : dependence on disk-to-halo ratio, initial angular momentum, and core radius, and comparison with data

Using a simple analytic model of the response of dark matter halos to the dissipative infall of the luminous material to form an exponential disk, we explore the dependence of the final rotation curves on all the relevant parameters: the ratio F≡M b /M of the dissipative baryonic mass M b to the total galaxy mass M including dark matter; the ratio b/R of the disk exponential scale length b to the truncation radius R (beyond which infall can be neglected); the core radius r core of the isothermal halo in the absence of dissipation; and the dimensionless angular momentum parameter λ≡J|E| 1/2 G −1 M −5/2 (where J and E are the total angular momentum and energy of the galaxy)
Proof that ? E /? n i =e in density-functional theory

It is shown that the variation of the total energy, as constructed in density-functional theory, with respect to an orbital occupation is equal to the eigenvalue of that orbital, independent of the detailed form of the exchange-correlation functional. This leads to a rigorous connection between the ground-state energies of $N$- and ($N+1$)-particle systems, which is useful in the calculation of certain excitation energies.
Formation of Fermi Arcs at T T c in the Vicinity of d -Wave Nodes of Structurally Inhomogeneous YBa 2 Cu 3 O 6.92 HTSCs

—The influence of structural inhomogeneity on a superconducting gap near d -wave nodes is considered for optimally doped YBa 2 Cu 3 O 6.92 HTSCs. To this aim, specific heat in the temperature range of T = 2‒10 K at magnetic fields H = 0–9 T is analyzed for a series of fine-crystalline samples with different degrees of controlled structural disorder. Information about specific features of the superconducting gap near d -wave nodes in structurally disordered samples is obtained. It is shown that d -wave nodes (typical of an ideal crystal structure) change under the influence of structural disorder with the formation of small Fermi arcs, which are not covered by the superconducting gap, in the vicinity of the nodal point at T T c . Note that the gap is retained at T ≤ T c in other directions of the Brillouin zone and coexists with Fermi arcs. This transfor-mation is accompanied by an increase in the nodal slope, a decrease in the Volovik effect, and creation of the metal-type linear term γ (0) T in the temperature dependence of the specific heat, which should not exist for superconductors with an ideal crystal structure; its nature has not yet been established.
Magnetohydrodynamic Control on Hypersonic Aircraft Under "Ajax" Concept

The scramjet with magnetohydrodynamic control being developed in the framework of the "Ajax" concept is considered. Model of magnetohydrodynamic generator with nonequilibrium conductivity is discussed. Simple relations for calculation of electron concentration in air plasma sustained by electron beam are proposed. A model of scramjet with magnetohydrodynamic control is considered in the one-dimensional approach. A model of inlet with magnetohydrodynamic control is considered in two-dimensional approach. It is shown that magnetohydrodynamic interaction allows one to increase specific impulse of scramjet and modify flowfield in inlet.
SEVENTH DAVID KLYSHKO MEMORIAL SEMINAR

A phenomenological Hamiltonian of photons in single mode stochastic fiber depending on the vector of random parameters is proposed. The time dynamics of single photon density matrix in the basis of states with orthogonal polarizations is considered. The fiber parameter averaged quantum bit error rate (QBER) in a sifted quantum key distributed over the BB84 protocol using entangled polarization states of biphotons is found. It is shown that QBER can be significantly reduced even at large dispersions of random fiber parameters. To this end, identically fabricated fibers must be used for quantum channels A and B. The choice of pairs of fiber segments must be correlated, with a correlation coefficient close to unity. This approach is based on a remarkable property of the singlet biphoton state, which is “free of collective decoher ence. ” A correlated choice of fiber segments for channels A and B reduces significantly QBER, making its value below critical (i.e., equal to 0.11, a level below which a distributed key is accepted for cryptographic pur poses). DOI: 10.1134/S0030400X12030137
Hamiltonian reformulation and pairing of Lyapunov exponents for Nose-Hoover dynamics

The Nose Hamiltonian is adapted, leading to a derivation of the Nose-Hoover equations of motion which does not involve time transformations, and in which the degree of freedom corresponding to the external reservoir is treated on the same footing as those of the rest of the system. In this form it is possible to prove the conjugate pairing rule for Lyapunov exponents of this system.
LoRaWAN based early flood alert system using CoAP Protocol

Flood monitoring is important to reduce the impact of disaster to save lives of people and animals. At present existing systems lack in providing autonomous and infrastructure independent services to stakeholders. Therefore, Alerting flood early gaining interest among nations worldwide to prevent the loss of human life and economic losses. To gather more sensor data for predicting floods with advanced networking standards are important. At present flood alert systems mostly depend on the satellite based or infrastructure based communication systems. As a result, cost and complexity of the system increases. In this paper an idea to implement a flood warning system based on LoRaWAN and non-proprietary hardware and protocol was proposed. Our proposed project overcomes existing infrastructure based dependent services to self-made autonomous services for miles.
Regional disparities in Dementia-free Life Expectancy in Japan: An ecological study, using the Japanese long-term care insurance claims database

Background The number of people with dementia increases in an aging society; therefore, promoting policies for dementia throughout the community is crucial to creating a dementia-friendly society. Understanding the status of older adults with dementia in each region of Japan will be a helpful indicator. We calculated Dementia-free Life Expectancy and aimed to examine regional disparities and their associated factors. Methods We calculated Dementia-free Life Expectancy and Life Expectancy with Dementia for each secondary medical area in Japan based on the Degree of Independence in Daily Living for the Demented Elderly, using data extracted from the Japanese long-term care insurance claims database. We then conducted a partial least squares regression analysis, the objective variables being Dementia-free Life Expectancy and Life Expectancy with Dementia for both sexes at age 65, and explanatory regional-level variables included demographic, socioeconomic, and healthcare resources variables. Results The mean estimated regional-level Dementia-free Life Expectancy at age 65 was 17.33 years (95% confidence interval [CI] 17.27-17.38) for males and 20.05 years (95% CI 19.99-20.11) for females. Three latent components identified by partial least squares regression analysis represented urbanicity, socioeconomic conditions, and health services-related factors of the secondary medical areas. The second component explained the most variation in Dementia-free Life Expectancy of the three, indicating that higher socioeconomic status was associated with longer Dementia-free Life Expectancy. Conclusions There were regional disparities in secondary medical area level Dementia-free Life Expectancy. Our results suggest that socioeconomic conditions are more related to Dementia-free Life Expectancy than urbanicity and health services-related factors.