Miracle-dz/UniFAR-FTUs huggingface dataset:
Overlapping Community Discovery for Identifying Key Research Themes

Identifying key research themes is an effective way to chart knowledge structures in a field of research and, in turn, stimulate new ideas and innovation. Most thematic analyses of a research field are based on some form of network analysis, e.g., citations and cowords, and most of these networks are made up of cohesive, highly overlapping groups of nodes. Based on the suggestion that the “universal features” of networks are to be found in these overlapping communities, we argue that these same communities in a keyword network should reveal the key research themes in a field of study. With no traditional method with which to test our theory, we combined a cluster percolation algorithm with a Word2Vec model, and in a case study on information science, we were not only able to detect the overlapping communities in a keyword similarity network, but we also found a new perspective on the importance of overlapping communities as a way to identify a field's key research themes.
MONKEY (MACACA MULATTA) SURVIVAL TIMES AFTER PULSED GAMMA-NEUTRON IRRADIATION,

Abstract : Fifty monkeys (Macaca mulatta) were irradiated at midline tissue doses of 405 to 1540 rads of pulsed gamma-neutron radiations from a TRIGA reactor. The study was performed to obtain lethality data and to record the clinical behavior of the monkey in this dose range. At doses of 500 rads or less, most of the deaths could be attributed to hematopoietic damage, although some animals displayed evidence of gastrointestinal involvement. Survival time was found to be independent of dose in the range of 800 to 1500 rads where deaths appeared due to gastrointestinal injury. A survival-time curve for doses ranging from 336 to 73,000 rads was completed by combining these data with results of previous studies at the AFRRI. From the combined survival-time curve, survival times in the monkey consistent with the CNS syndrome predominate at doses of 4300 rads and above. Postirradiation observations including weight change, food and water consumption, vomiting, diarrhea, and necropsy findings are discussed. (Author)
Durability of Fabric-Reinforced Cementitious Matrix (FRCM) Composites: A Review

Strengthening and rehabilitation of masonry and concrete structures by means of externally bonded fabric-reinforced cementitious matrix (FRCM) (also referred to as textile reinforced mortar (TRM)) composites was proposed as an alternative to the use of fiber-reinforced polymer (FRP) composites due to their good mechanical properties and compatibility with the substrate. However, quite limited studies are available in the literature regarding the long-term behavior of FRCM composites with respect to different environmental conditions. This paper presents a thorough review of the available researches on the long-term behavior of FRCM composites. Namely, (i) test set-ups employed to study the FRCM durability, (ii) conditioning environments adopted, and (iii) long-term performance of FRCM and its component materials (mortar and fiber textile) subjected to direct tensile and bond tests, are presented and discussed. Based on the available results, some open issues that need to be covered in future studies are pointed out.
In silico toxicology: From structure–activity relationships towards deep learning and adverse outcome pathways

In silico toxicology is an emerging field. It gains increasing importance as research is aiming to decrease the use of animal experiments as suggested in the 3R principles by Russell and Burch. In silico toxicology is a means to identify hazards of compounds before synthesis, and thus in very early stages of drug development. For chemical industries, as well as regulatory agencies it can aid in gap‐filling and guide risk minimization strategies. Techniques such as structural alerts, read‐across, quantitative structure–activity relationship, machine learning, and deep learning allow to use in silico toxicology in many cases, some even when data is scarce. Especially the concept of adverse outcome pathways puts all techniques into a broader context and can elucidate predictions by mechanistic insights.
Spatial and temporal patterns of recent forest encroachment in montane grasslands of the Valles Caldera, New Mexico, USA

Aim Recent forest encroachment into montane and subalpine grasslands has occurred in the Rocky Mountains and many other mountain ranges globally. The timing, rate, and extent of tree invasion can depend on interactions among topography, positive spatial feedbacks, and temporally variable factors (especially climate, grazing, and fire). Here we examine spatial and temporal patterns of tree invasion in the Valles Caldera of the Jemez Mountains.
Effect of relative humidity and incubation time on the O‐methylation of chlorophenols in fibreboard by Paecilomyces variotii

The effect of relative humidity and incubation time on the extent of O-methylation of 2,4,6-trichlorophenol, 2,3,4,6-tetrachlorophenol and pentachlorophenol by Paecilomyces variotii as studied ith fibreboard as the groth medium. Over a 10-eek incubation period the yields of 2,4,6-trichloroanisole and 2,3,4,6-tetrachloroanisole ere greater the higher the relative humidity; hoever, the degree of methylation of pentachlorophenol as almost negligible. At 30°C and 98% relative humidity, the methylation of the tri- and tetrachlorophenols ceased after the fourth eek; maximum chloroanisole concentrations ere observed at this time. The results indicated that methylation as the principal mechanism by hich P variotii detoxified 2,4,6-trichlorophenol and 2,3,4,6-tetrachlorophenol in fibreboard.
Studying the electromechanical system of a series/parallel HEV with planetary gearbox dynamics

This study presents a complex electromechanical model for the simulation of a hybrid electric vehicle which is the Toyota Prius THS-II. The electromechanical model comprises the electrical subsystem, as it is developed and adopted in the past in several research activities, however, the interest in this study is focused on the application of a mathematical model for the power split device (planetary gearbox) of the mechanical subsystem in order to take into account full dynamic interaction between the subsystems by taking into account gear dynamics, in comparison with previous studies which implement simple algebraic models. The differential equations of the mechanical subsystem are solved with the aid of a dimensionless system in order to deal with the ‘stiffness’ problem. The relevant simulations which have been performed considered two cases. In the first case, the power split device is modelled with a simple algebraic model, while in the second case, the mathematical model for the power split device is the model discussed in this study. The developed source code is compiled by employing the MPI module in order to render the relevant simulations capable of running very fast. Finally, a comparison between the results of the two cases is demonstrated.
Spatial-spectral classification of hyperspectral images based on multiple fractal-based features

Abstract Hyperspectral images are efficient tools for discriminating different types of earth's surface materials. Spectral features traditionally perform classification of hyperspectral images, but different studies have proved the efficiency of spatial features as complementary information in increasing the classification accuracy. The fractal geometry can be regarded as a potent tool for spatial data modeling. This study proposes a new classification method based on the integration of fractal and spectral features. For this purpose, three groups of fractal features, including mono-fractal, lacunarity and multi-fractal features are generated from the first few principal components of the hyperspectral image in different window sizes. These features are later stacked with spectral features and then fed to support vector machines classifier. The experiments are conducted on two real hyperspectral images Indian Pines, Pavia University. Final classification accuracy proved the superiority of the proposed classification method against the other competitive spatial-spectral methods.
Patients with metabolic syndrome have a greater rate of complications after arthroplasty

Aims Patients with metabolic syndrome (MetS) are known to be at increased risk of postoperative complications, but it is unclear whether MetS is also associated with complications after total hip arthroplasty (THA) or total knee arthroplasty (TKA). Here, we perform a systematic review and meta-analysis linking MetS to postoperative complications in THA and TKA. Methods The PubMed, OVID, and ScienceDirect databases were comprehensively searched and studies were selected and analyzed according to the guidelines of the Meta-analysis of Observational Studies in Epidemiology (MOOSE). We assessed the methodological quality of each study using the Newcastle-Ottawa Scale (NOS), and we evaluated the quality of evidence using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Data were extracted and meta-analyzed or qualitatively synthesized for several outcomes. Results Ten cohort studies involving 1,352,685 patients were included. Qualitative analysis suggested that MetS was associated with a higher incidence of cardiovascular events, and meta-analysis showed that MetS increased the risk of all-cause complications (risk ratio (RR) 1.55, 95% confidence interval (CI) 1.28 to 1.89), surgical site infection (SSI; RR 2.99, 95% CI 1.30 to 6.90), urinary tract infection (UTI; RR 2.58, 95% CI 1.03 to 6.43), and 30-day readmission (RR 1.45, 95% CI 1.33 to 1.59). There was insufficient evidence for assessing an association between MetS and venous thromboembolism events, pulmonary or gastrointestinal complications, or mortality. Conclusion Patients with MetS undergoing THA and TKA are at increased risk of all-cause complications, cardiovascular complications, SSI, UTI, and 30-day readmission. Surgeons should be aware of the increased risk of these complications in MetS, and presurgical protocols for these complications should give special consideration to MetS patients. Cite this article: Bone Joint Res. 2020;9(3):120–129.
Neutrosophic structured element

This paper presents a new concept in neutrosophic sets (NS) called neutrosophic structured element (NSE). Based on this concept, we define the operational laws, score function, and some aggregation operators of NS. Finally, as an application of this concept, we propose a decision‐making method for a multi‐attribute decision making (MADM) problem under NSE information. The results indicate that this concept is a useful tool for dealing with neutrosophic decision problems.
Green technologies and firms’ market value: a micro-econometric analysis of European firms

This paper investigates the impact of the generation of green (environmental) technologies on the market value (MV) of a sample of listed companies. The analysis is grounded on the combination of two different theoretical approaches, that is the one focusing on the relationship between MV and innovation and the one pertaining to the economic effects of eco-innovation. Environmental regulation, based on the regulatory push–pull effect, induces firms to cope with more stringent rules through innovation efforts, and this eventually leads to the emergence of new markets for the suppliers of green technologies (GTs). Our main hypothesis is that firms able to generate GTs can be expected to show better stock market performances in this framework, because of the prospects of regulation-driven profitability gains. The empirical analysis has been carried out on a sample of listed firms from France, Germany, Italy, the Netherlands, and the UK observed over the 1985–2011 time span, and it is based on the implementation of the most recent version of the MV equation, corrected for selection bias. Results are consistent with those of previous literature and highlight the positive impact of innovation on MV. When narrowing the focus to firms operating in sectors with a high propensity to generate GTs, we have found that the stringency of the environmental regulatory framework also yields a positive a significant impact, as does the stock of GTs vis-à-vis non-GTs. Moreover, environmental regulatory framework positively moderates the positive effect of the stock of GTs. Lastly, the quality of firms’ own knowledge stocks is also found to positively influence firms’ MV.
Enhancing the CRI and lumen output for the 6600 K WLED with convex-dual-layer remote phosphor geometry by applying red-emitting MGSR3SI2O8:EU2+,MN2+ phosphor

The traditional white LED product established with a single chip and a single phosphor results in a low color rendering index (CRI). The upgrade of LED package is comprised of two chips and one phosphor material and gives the higher CRI while keeping high luminous efficiency. Based on previous findings, the research paper performs the application of the two chips and two phosphors to enhance the color tunability of LEDs with different amounts and intensities of the two employed phosphors. Additionally, a color design model is built to serve the purpose of bettering the color fine-tuning of the white-light LED module. The maximum value of the difference between the measured CIE 1931 color coordinates and that of the simulated model is approximately 0.0063 around the 6600 K correlated color temperature (CCT). From the results, this study offers a quick approach to achieve the color fine tuning of a white-light LED module with a high CRI and luminous efficiency.
Modulated self-assembly of metal–organic frameworks

Exercising fine control over the synthesis of metal–organic frameworks (MOFs) is key to ensuring reproducibility of physical properties such as crystallinity, particle size, morphology, porosity, defectivity, and surface chemistry. The principle of modulated self-assembly – incorporation of modulator molecules into synthetic mixtures – has emerged as the primary means to this end. This perspective article will detail the development of modulated synthesis, focusing primarily on coordination modulation, from a technique initially intended to cap the growth of MOF crystals to one that is now used regularly to enhance crystallinity, control particle size, induce defectivity and select specific phases. The various mechanistic driving forces will be discussed, as well as the influence of modulation on physical properties and how this can facilitate potential applications. Modulation is also increasingly being used to exert kinetic control over self-assembly; examples of phase selection and the development of new protocols to induce this will be provided. Finally, the application of modulated self-assembly to alternative materials will be discussed, and future perspectives on the area given.
Liver regeneration and alcoholic liver disease

Alcoholic liver diseases (ALD) are a wide spectrum of liver diseases caused by excessive alcohol consumption, from steatosis to cirrhosis. The pathogenesis of ALD is insufficiently understood, but mainly involves oxidative stress, inflammation, bacterial translocation, cell death, and impaired regeneration. Despite numerous attempts to improve patient prognosis, the treatment of advanced ALD is still based on abstinence, brief exposure to corticosteroids, or liver transplantation. However, poor response to corticosteroids and the shortage of liver donors leaves patients helpless towards the end stages. Advances in basic research have contributed to a better understanding of ALD pathophysiology, which offers new options for treatment. In recent years, several therapies related to liver regeneration have been tested with promising prospects, including molecule-induced liver regeneration, stem cell transplantation, and full-function 3D artificial liver assembly. This review discusses mechanisms underlying ALD that can be considered therapeutic targets for regeneration-based treatments.
Sparse CSP Algorithm via Joint Spatio-Temporal Filtering

Common spatial pattern (CSP) is widely used in motor imagery classification tasks. Classical CSP depends only on spatial filters. To improve its performance, a novel and efficient spatio-temporal filtering strategy is proposed in this paper to extract discriminative features. Common temporal filters are shared among all the spatial channels, so as to reduce the overfitting risk in the case of a small sample size. An efficient alternating optimization algorithm is also developed to optimize coefficients of spatial and temporal filters. To alleviate adverse effects of noise and artifacts and improve implementation efficiency, an ℓ1-norm-based sparsity regularization term is further introduced. The resulting problem is tackled by the reweighting technique. The effectiveness of the proposed algorithm is validated by the experiments using open datasets of BCI Competition.
Modelling as a mitigation strategy for harmful algal blooms

Abstract: This chapter reviews the efforts that have been made to develop dynamic models of phycotoxin accumulation in bivalves. The different processes involved in the accumulation are described and their corresponding models are explained. The chapter includes a discussion about the advantages of using models both for research and to increase the safety of marine bivalves, and some information about modelling and modelling tools.
Performance analysis of discrete wavelet transform for downlink non-orthogonal multiple access in 5G networks

Non-orthogonal multiple access (NOMA) has been considered a key technology to address the increasing traffic demands for fifth-generation (5G) cellular wireless communication networks and internet of things. The NOMA technique offers efficient bandwidth utilisation, low latency, and support for the massive connectivity of devices in 5G networks. In the conventional NOMA system, orthogonal frequency division multiplexing (OFDM) is used as a pulse-shaping technique that causes high peak to average power ratio (PAPR) due to the superposition of signals of multiple users after passing through inverse fast Fourier transform and spectral inefficiency due to the cyclic prefix insertion. Therefore, an alternate methodology using wavelet OFDM is proposed in this research work, as a pulse-shaping technique for NOMA-based communication systems to improve spectral efficiency and system capacity The main contribution of this study is the analysis of the bit error rate (BER) performance and the effect of carrier frequency offset on system performance of wavelet NOMA (W-NOMA) technique in 5G networks. The simulation results demonstrate that W-NOMA outperforms the conventional NOMA with reference to PAPR and BER.
Density functional theory study on the donating strength of donor systems in dye-sensitized solar cells

The electron-donating strengths of donor (D) moieties in thirteen donor–π–acceptor systems (D1–π–A to D13–π–A wherein –π– and A represent butadiene and cyanoacrylic acid units, respectively) have been studied using B3LYP/cc-pVDZ level density functional theory (DFT) calculations. The selected D moieties are encountered as a part of an organic sensitizer molecule in dye-sensitized solar cell (DSSC) applications. When the D moiety is joined with π–A, a certain amount of electron donation from D to A occurs leading to an increase in electron density at the A site of D–π–A compared to the A site of π–A. This electron reorganization is quantified in terms of a change in molecular electrostatic potential (MESP) minimum (ΔVmA) at the acceptor site, the CN group of the cyanoacrylic acid. The ΔVmA is always negative, in the range of −11.0 to −2.6 kcal mol−1 which provides a quick assessment of the rank order of the electron-donating nature of the D moieties in the ground state of D–π–A. The optical and photovoltaic properties of D and D–π–A systems are also determined at the TD-CAM-B3LYP/cc-pVDZ//B3LYP/cc-pVDZ level. An absorption red shift (Δλmax) in the range of 81–242 nm is observed when D moieties change to D–π–A systems. The ground state property ΔVmA showed a strong linear correlation with the excited state property Δλmax. Furthermore, ΔVmA is found to be proportional to the open-circuit voltage (VOC). The resemblance of highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies of the D–π–A system with the respective energies of donor and π–A systems shows that the donor tunes the HOMO, while π–A tunes the LUMO. Among the thirteen D–π–A systems, N,N-dialkylaniline, and julolidine are rated as the best donors for the photovoltaic applications. This study shows that the MESP based assessment of the donating strength of donor systems offers a powerful rational design strategy for the development of efficient dyes for DSSC applications.
In situ hybridization: a practical approach

"In situ" hybridization is used to reveal the location of specific nucleic acids sequences on chromosomes or in tissues. Visualization of the location of genes on chromosomes or of specific mRNAs or viruses in tissues is crucial for understanding the organization, regulation, and function of genes. It is a therefore a core technique in all areas of biomedical research. This edition has been thoroughly updated to contain protocols detailing the major techniques of "in situ" hybridization currently in use in the late 1990s: "in situ" hybridization to mRNA with oligonucleotide and RNA probes (radiolabelled and hapten labelled); analysis using light and electron microscopes; whole mount "in situ" hybridization; double detection of RNAs, and RNA plus protein; and fluorescent "in situ" hybridization to detect chromosomal sequences. This book is intended for all biomedical researchers at any level who use "in situ" hybridization.
A novel α‐amylase gene is transiently upregulated during low temperature exposure in apple fruit

An α-amylase gene product was isolated from apple fruit by reverse-transcriptase PCR using redundant primers, followed by 5′ and 3′ RACE. The gene is a member of a small gene family. It encodes a putative 46.9 kDa protein that is most similar to an α-amylase gene from potato (GenBank accession M79328). In apple fruit this new gene was expressed at low levels, as detected by reverse-transcriptase PCR, in a number of plant tissues and during fruit development. Highest levels of mRNA for this transcript were observed 3 to 9 days after placing apple fruit at 0.5 °C. Phylogenetic analysis of amino acid sequence places the potato and apple proteins as a distinct and separate new subgroup within the plant α-amylases, which appears to have diverged prior to the split between monocotyledonous and dicotyledonous plants. These two divergent α-amylases lack the standard signal peptide structures found in all other plant α-amylases, and have sequence differences within the B-domain and C-domain. However, comparisons with structures of known starch hydrolases suggest that these differences are unlikely to affect the enzymatic α-1,4-amylase function of the protein. This is the first report of upregulation of a dicotyledonous α-amylase in response to low temperature, and confirms the presence of a new family of α-amylases in plants.