Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction of hollow structure cobalt iron selenide polyhedrons for efficient hydrogen evolution reaction

The development of highly active, robust and cost‐effective noble metal‐free electrocatalysts for hydrogen evolution reaction (HER) in alkaline solution remains a severe challenge. In this work, a hollow structure CoSe2‐FeSe2 heterojunction electrocatalyst (denoted by “(Co,Fe)Se2”) was designed by a simple anion exchange reaction and selenization. Benefiting from the unique hollow structure, the (Co,Fe)Se2 catalyst accelerates diffusion of electrolyte, besides, the CoSe2‐FeSe2 heterojunction could provide rapid interfacial charge transportation and more active sites for the HER reaction. The (Co,Fe)Se2 electrode material exhibits good performance for HER in 1 M KOH electrolyte. It needs an overpotential of 124 mV to obtain a current density of 10 mA cm−2, and the Tafel slope is 65 mV dec−1. Besides, (Co,Fe)Se2 has a smaller charge transfer resistance compared with CoSe2. At the same time, it has relatively large electrochemical active surface area due to the porosity. Most importantly, the (Co,Fe)Se2 electrode displays good stability in alkaline conditions for 15 hours, the linear sweep voltammetry curves are almost coincident before and after 1000 cycles, the overpotential with current density of 10 mA cm−2 increased by only 9.76% after 5000 cycles of CV. It shows great application potential in HER.
Exploring the Power of Multimodal Features for Predicting the Popularity of Social Media Image in a Tourist Destination

Social media platforms are widely used nowadays by various businesses to promote their products and services through multimedia content. Instagram is one of those platforms, which is used not only by companies to promote their products but also by local governments to promote tourist destinations. Predicting the popularity of the promotional tourist destination images helps marketers to plan strategically. However, given the abundance of images posted on Instagram daily, identifying the factors that determine the popularity of an image is a big challenge, due to informal and noisy visual content, frequent content evolution, a lack of explicit visual elements, and people’s informal behavior in liking, commenting on, and viewing the images. We present an approach to identify the factors most responsible for the popularity of tourist destinations-related images on Instagram. Our approach provides a proof of concept for an artificial intelligence (AI)-based real-time content management system, which will help to promote a tourist destination. The experiments on a collection of posts crawled from the official Instagram account of Jeju Island, which is one of the most popular tourist destinations in Korea, show that the recency of the post is the most important predictor of the number of likes and comments it will receive. Moreover, the combination of visual content and context features is an excellent predictor of popularity. The number of likes and comments are found to be complementary to each other for predicting image popularity.
Surgical Myocardial Revascularization in Patients with Severe Left Ventricular Dysfunction: Experience in the Cardiac Surgery Department of the Military Hospital Mohammed V of Rabat

Patients with coronary artery disease associated with severe left ventricular dysfunction, candidates for surgical myocardial revascularization, are with high operative risk. The aim of this study was to assess short and long-term morbidity and mortality and to identify their predictive factors. Methods: We conducted a retrospective study in the cardiac surgery department of the Military Instruction Hospital Mohammed V- Rabat, between 2000 and 2015. The statistical analysis was executed by SPSS. There were 74 patients (mean age 74±10 years, ejection fraction [FE]: 30.07%±4 .5, Euroscore: 6.6±2.9). Results: Hospital mortality was 9.5%, with a follow up time of 59.2 ± 36 months. The survival rate at 10 years was 57%. There was also an improvement in their clinical symptoms and echocardiographic parameters (postoperative FE: 40.36%±11.2). Conclusion: In this group of patients with high operative risk, the long-term results of several studies demonstrate the superiority of surgical treatment on medical treatment.
Automatic Speech Recognition using Recurrent Neural Network

— Speech recognition is one of the major developing field in computer science, more people now focusing on speech recognition as like others. Automatic Speech recognition or speech to text conversion is nothing but converting the given input speech of the user into the text or query format depending upon the usage of where the speech action takes place. Nowadays more over every people is using this technology instead of typing or using buttons to give a specific command. Speech to text is an very intriguing task as the sounds of different word hear similar and same word has different sounds depends on the people. So its hard to do the speech to any form of conversion. We have proposed a system which is a simple query processing system for the railways where the input is speech and an output is a text being displayed. The process is converting the input speech into the query for processing the railway system queries.
Study of Performance Measures and Energy Consumption for Cloud Computing Centers Based on Queueing Theory

Cloud computing, as an effective method to provide computing resource and service to users on demand, is attracting more and more attention. This paper establishes a GI/G/m queue to characterize the cloud computing centers with general arrival process and service times. We analyze the main performance measures such as the mean waiting queue length and average waiting time of service requests in the cloud computing system. Besides, the energy consumption model of the cloud computing center is established. The results show that increasing the service rate can reduce the average waiting time, the quantity of running servers needs to be varied with the arrival rates of service requests to meet the satisfaction of users. The total energy consumption is connected with the arrival rate, service rate and the quantity of servers in the cloud computing center, but it has nothing to do with the coefficient of variation squared of the interarrival times and service times.
Gene Expression and miRNA Regulation Changes in Leaves of Rice Backcross Introgression Lines

High-throughput sequencing was used to distinguish the gene and miRNA expression profiles in the leaves of three progenies from a rice backcross introgression line (BC2F12) and their parents (Oryza sativa and wild rice, O. longistaminata). A total of 33,419 genes and 513 miRNAs were identified in two parents and three lines, and the majority of the genes and miRNAs were commonly expressed. The results show that 10.23% to 17.94% of the genes were differentially expressed genes (DEGs) in the progenies compared with those of the two parents, and the majority of them were up-regulated. Of the miRNAs, 12.56% to15.43% were differentially expressed in the progeny/O. sativa comparisons and the majority of which were up-regulated, while 42.02% to 45.21% of miRNAs were differentially expressed in the progeny/O. longistaminata comparisons, of which nearly half were down-regulated. Most of the DEGs and differentially expressed miRNAs showed expression levels close to that of O. sativa, indicating that the expression of genes and miRNAs in progenies was closely related to their chromosome complements and that the miRNAs were more susceptible than the genes to the effects of genomic composition. Furthermore, a larger number of target genes were predicted in the progeny/O. longistaminata comparisons. Finally, we found that the expression of some genes and miRNAs might increase the possibility for abiotic stress responses and adaptation in progenies. Together, our findings increase the understanding of the molecular mechanisms of hybridization and backcrossing on the expression levels of genes and miRNAs in rice leaves.
The microbiome comes to cosmetics

“Love your bacteria. ” That’s the tagline for Yun Probiotherapy’s line of skin cosmetics directed at those who have acne or athlete’s foot or who just want to keep their skin looking healthy. Yun’s product line, now entering the personal care market, incorporates “friendly” bacteria to help correct skin microbe imbalances. Scientists have known for some time that the skin, like the human gut, is teeming with bacteria, fungi, yeast, and viruses, all actors in what is known as the microbiome. Some are beneficial, others are not, and some considered “good” may become harmful under the right conditions. There’s also long-standing evidence of a connection between a healthy gut and the consumption of Lactobacillus-containing supplements and foods such as yogurt. Research firm Global Market Insights estimates that the food market for the beneficial microorganisms known as probiotics exceeded $36 billion in 2015. However, little was known about the diversity of the
Trinucleotide Repeats in Transgenic Mice: New Insights

Abnormal expansions of trinucleotide repeats causing changes in protein structure or altered gene expression constitute a still growing class of human genetic disease (1). The curious apparent absence of expanded repeats and associated diseases in mice and other mammals has raised the possibilities that factors causing repeat instability are not present in other mammals or, even if present, that manifestations of expanded repeats may be largely species specific. The development of transgenic mice carrying disease gene null-mutations and trinucleotide repeatcontaining human transgenes has been eagerly anticipated by investigators studying these and other fundamental repeat disease issues. An overview of reports describing the first dozen of such transgenic models points to emerging novel insights into the mechanisms of trinucleotide repeat disease. The expansion of the trinucleotide CAG repeats within protein coding sequences has been of particular interest because it constitutes the largest group of these dominantly transmitted diseases, including Huntington's disease (HD); Kennedy's disease (spinobulbar muscular atrophy); dentatorubropallidoluysian atrophy; Machado-Joseph disease (MJD); and spinocerebellar atrophies 1,2, 6, and possibly 7. The presence of an expanded CAG-encoded polyglutamine tract in the proteins encoded by these genes indicates that these conditions might share common pathophysiological mechanisms. Current hypotheses postulate that expanded polyglutamine tracts lead to the gain of a deleterious function, such as aberrant protein-protein interactions. The puzzle of whether toxic functions are intrinsic to the expanded polyglutamine tract itself or a property of the altered protein-polyglutamine structure remains unresolved but can now be addressed using transgenic technology. In myotonic dystrophy (DM), CTG repeats (CAG in the antisense) occur in the 3' untranslated region of the gene encoding myotonin protein kinase (Dmpk). Expansions in this noncoding region might interfere with Dmpk expression, DMPK protein processing, or expression of nearby genes. The question of whether decreased expression of Dmpk is a causative factor in the DM phenotype has been difficult to answer in human studies. The murine models described in Table 1 below are beginning to address these important questions.
Опыт привлечения молодых ученых в качестве рецензентов в научно-технический журнал

This article describes the work of the Editorial Board of the Journal of “Almaz - Antey” Air and Defence Corporation during the period 2013-2020. The aim of this study was to evaluate the expediency of involving young researchers (aged below 40 years old) in reviewing manuscripts submitted to the journal, as well as to analyse the quality of their work. It is shown that young researchers conduct reviews with a sufficient level of quality and in a timely manner. An analysis of 642 reviews allowed a dependence of the average review time by scientists up to 40 and those older than 40 years to be constructed. As a result, the expediency of attracting young researchers as reviewers was confirmed, since both the quality of the work and the review time was comparable for young and experienced researchers.
Meat quality characteristics of Beltsville Small White broiler and spent hen turkeys (Meleagris gallopavo)

A study was conducted to assess the physico chemical, proximate and sensory characteristics of meat from Beltsville Small White turkey (Meleagris gallopavo) broilers and turkey spent hens. Significantly (P< 0.05) higher pH, water holding capacity and moisture content values were observed in Beltsville Small White turkey broiler meat as compared to Beltsville Small White turkey spent hen meat. However, cooking loss, drip loss, shear force value, fragmentation index and collagen, protein and fat content values were significantly (P< 0.05) lower in Beltsville Small White turkey broiler meat then Beltsville Small White turkey spent hen meat. Sensory attributes scores for appearance and colour, flavour, juiciness, tenderness, oiliness and overall acceptability scores were significantly (P<0.05) higher in Beltsville Small White turkey broiler meat as compared to Beltsville Small White turkey spent hen meat. Turkey meat from Beltsville Small White turkey broiler had highly favourable physico – chemical characteristics and highly acceptable sensory characteristics then Beltsville Small White turkey spent hen meat.
Proposed reference dose for toxaphene carcinogenicity based on constitutive androstane receptor-mediated mode of action

ABSTRACT Toxaphene is a liver tumor promoter in B6C3F1 mice but not in F344 rats or hamsters. Recent studies demonstrate that key events leading to the mouse liver tumor response for toxaphene are mediated by activation of the constitutive androstane receptor (CAR). Benchmark dose modeling was conducted on available data for five endpoints in B6C3F1 mouse liver tissue or cultured liver cells (tumor response, cytotoxicity, proliferation, gap junction intercellular communication inhibition, and CAR-mediated CYP2B10 induction) and for CAR activation in human HepG2 cells, all reported in previous studies. The available evidence supports a nonlinear CAR-mediated mode of action (MOA) for toxaphene-induced mouse tumors including demonstration of a J-shaped dose-response pattern for human CAR activation, indicating that linear risk extrapolation at low doses is not supported for this MOA. Based on analysis of benchmark dose lower confidence limits at 10% response (BMDL10) and no observed effect levels (NOELs) for potential key events in the mouse liver tumor MOA for toxaphene, an RfD of 0.13 mg/kg-d is proposed based on a the BMDL10 for human CAR activation in human HepG2 cells. This value is below candidate RfD values based on BMDL10 estimates for both mouse liver tumors and mouse hepatocyte proliferation and therefore can be considered protective for human risk of liver tumor promotion and other CAR-mediated adverse health effects based on available data.
Amphibians in Czech zoological gardens — trends and implications for conservation

Abstract The alarming pace of loss of global biodiversity gets major attention worldwide, and amphibians are by far the most endangered group of vertebrates. IUCN estimates that 41% of amphibian species are threatened. The year 2008 was named as “The Year of the Frog” to raise both awareness and funding of mainly ex situ programs needed to mitigate the amphibian extinction crisis. Zoos and aquariums are expected to participate in ex situ conservation breeding programs of endangered species. Number of publications documents the increasing concern in amphibian captive breeding programs. In this paper, we reviewed the current effort of public zoological gardens in Czech Republic on amphibian keeping and breeding. Our results show that species collections reflect combination of the availability of species in the pet trade and the availability of surplus animals from other zoos, but not the needs of amphibian conservation.
Proteomic and mechanistic analysis of Auxin Response Factors in the Arabidopsis embryo

Auxin is a phytohormone that is crucial for many aspects of plant development. The processes in which this hormone has been implicated span from embryo development to flower transition, defense, tropic responses, and many other processes during plant life. A key question in auxin biology is how this molecule is able to elicit such diverse responses. Auxin regulates the transcriptional activation or repression of genes through the AUXIN RESPONSE FACTOR (ARF) family of transcription factors. In my studies I focus in the ARF transcription factors as a likely source of variation in output specificity. We consider three levels at which ARFs differ. First, ARFs differ in their ability to interact with different Aux/IAA (antagonistic family of transcription factors), or to form homo- or heterodimers. Second, ARFs assemble into different protein complexes, transcription factors interact with other transcriptional regulators or other proteins to form transcription complexes. These, when different, may contribute to different functions of ARF complexes. Thirdly, ARFs bind to and regulate different target genes. My work offers a plausible explanation how specific auxin responses are generated and through which genes the developmental responses to auxin are generated.
Database of Storm Time Equatorial Ion Temperatures in Earth's Magnetosphere Calculated From Energetic Neutral Atom Data

Ion temperature is a key parameter that influences dynamics in the magnetosphere, such as particle transport and wave‐particle interactions. Measurements of ion heating and energization yield information about phenomena such as magnetic reconnection, bursty bulk flows, and ion injections. Taking advantage of the global view provided by energetic neutral atom imaging, a database of ion temperature maps during geomagnetic storms occurring throughout the National Aeronautics and Space Administration (NASA) Two Wide‐angle Imaging Neutral atom Spectrometers (TWINS) mission has been created. These ion temperature maps and relevant metadata are publicly available on CDAWeb to facilitate comparison to in situ measurements and model output, for use as boundary conditions for simulations, and for other relevant studies. A preliminary study of average plasma sheet ion temperatures calculated from these maps has revealed a common occurrence of decreasing ion temperature, and a case study for one storm is presented.
Control of egg and neonate larvae of Xylotrechus arvicola (Coleoptera: Cerambycidae), a new vineyard pest, under laboratory conditions

Background and Aims Xylotrechus arvicola (Coleoptera: Cerambycidae) is a new vineyard pest. Six insecticides were tested on X. arvicola eggs arranged in Petri dishes and in two parts of the vine: branch and trunk. Method and Results According to the Abbott formula, on Petri dishes, chlorpyrifos had total ovicidal control, significantly different from that of pyriproxyfen (88.3%), Beauveria bassiana (84.3%) and imidacloprid (80.9%). On branches, chlorpyrifos (91.6%), pyriproxyfen (79.1%) and flufenoxuron (75.0%) showed improved toxic effect, and on trunks, chlorpyrifos (83.3%) gave the best control, significantly different from that of imidacloprid (50.0%), pyriproxyfen (45.8%) and flufenoxuron (37.5%). Larval mortality was registered from the seventh to the fourteenth day after treatment: spinosad (50.0%), imidacloprid (45.8%) and B. bassiana (33.3%) were the insecticides that showed greater larval mortality on branches. These insecticides also showed greater larval mortality on trunks, but only B. bassiana (50.0%) had a greater residual effect on trunks than on branches. Conclusions All insecticides evaluated gave better ovicidal control when applied directly on Petri dishes than when applied on branches and trunks, where all insecticides (except chlorpyrifos and imidacloprid) show greater toxic effect when applied on branches. Spinosad and B. bassiana have the best larval residual mortality, when applied, respectively, on branches and on trunks. Significance of the Study Beauveria bassiana is the best insecticide with residual effect on neonate larvae on trunks, where the greater thickness of the rhytidome and cracks favoured the development of this fungus to invade actively the larvae through their shell and proliferate inside.
Planar nonlinear metasurface optics and their applications

Metasurfaces are artificial two-dimensional (2D) planar surfaces that consist of subwavelength ‘meta-atoms’ (i.e. metallic or dielectric nanostructures). They are known for their capability to achieve better and more efficient light control in comparison to their traditional optical counterparts. Abrupt and sharp changes in the electromagnetic properties can be induced by the metasurfaces rather than the conventional gradual accumulation that requires greater propagation distances. Based on this feature, planar optical components like mirrors, lenses, waveplates, isolators and even holograms with ultrasmall thicknesses have been developed. Most of the current metasurface studies have focused on tailoring the linear optical effects for applications such as cloaking, lens imaging and 3D holography. Recently, the use of metasurfaces to enhance nonlinear optical effects has attracted significant attention from the research community. Benefiting from the resulting efficient nonlinear optical processes, the fabrication of integrated all-optical nano-devices with peculiar functionalities including broadband frequency conversions and ultrafast optical switching will become achievable. Plasmonic excitation is one of the most effective approaches to increase nonlinear optical responses due to its induced strong local electromagnetic field enhancement. For instance, continuous phase control on the effective nonlinear polarizability of plasmonic metasurfaces has been demonstrated through spin-rotation light coupling. The phase of the nonlinear polarization can be continuously tuned by spatially changing the meta-atoms’ orientations during second and third harmonic generation processes, while the nonlinear metasurfaces also exhibit homogeneous linear properties. In addition, an ultrahigh second-order nonlinear susceptibility of up to 104 pm V−1 has recently been reported by coupling the plasmonic modes of patterned metallic arrays with intersubband transition of multi-quantum-well layered substrate. In order to develop ultra-planar nonlinear plasmonic metasurfaces, 2D materials such as graphene and transition metal dichalcogenides (TMDCs) have been extensively studied based on their unique nonlinear optical properties. The third-order nonlinear coefficient of graphene is five times that of gold substrate, while TMDC materials also exhibit a strong second-order magnetic susceptibility. In this review, we first focus on the main principles of planar nonlinear plasmonics based on metasurfaces and 2D nonlinear materials. The advantages and challenges of incorporating 2D nonlinear materials into metasurfaces are discussed, followed by their potential applications including orbital angular momentum manipulating and quantum optics.