28 research outputs found

    Table_1_Development of an Online and Offline Integration Hypothesis for Healthy Internet Use: Theory and Preliminary Evidence.DOCX

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    <p>The Internet has become an integral part of our daily life, and how to make the best use of the Internet is important to both individuals and the society. Based on previous studies, an Online and Offline Integration Hypothesis is proposed to suggest a framework for considering harmonious and balanced Internet use. The Integration Hypothesis proposes that healthier patterns of Internet usage may be achieved through harmonious integration of people’s online and offline worlds. An online/offline integration is proposed to unite self-identity, interpersonal relationships, and social functioning with both cognitive and behavioral aspects by following the principles of communication, transfer, consistency, and “offline-first” priorities. To begin to test the hypothesis regarding the relationship between integration level and psychological outcomes, data for the present study were collected from 626 undergraduate students (41.5% males). Participants completed scales for online and offline integration, Internet addiction, pros and cons of Internet use, loneliness, extraversion, and life satisfaction. The findings revealed that subjects with higher level of online/offline integration have higher life satisfaction, greater extraversion, and more positive perceptions of the Internet and less loneliness, lower Internet addiction, and fewer negative perceptions of the Internet. Integration mediates the link between extraversion and psychological outcomes, and it may be the mechanism underlying the difference between the “rich get richer” and social compensation hypotheses. The implications of the online and offline integration hypothesis are discussed.</p

    Preparation of Mesoporous Carbon from Sodium Lignosulfonate by Hydrothermal and Template Method and Its Adsorption of Uranium(VI)

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    A novel adsorbent of mesoporous carbon with high specific surface area was successfully prepared by hydrothermal and template method, using sodium lignosulfonate (LSs) as a raw material and cetyltrimethylammonium bromide (CTAB) as a template agent. The mesoporous carbon was characterized by SEM, TEM, BET, FTIR, and XPS. The formation mechanism of the mesoporous carbon was analyzed. The adsorption of uranium­(VI) on the mesoporous carbon from the simulated aqueous solution and actual radioactive wastewater was respectively investigated. The optimum conditions for U­(VI) adsorption were determined by studying experimental variables including pH, contact time, sorbent dose, initial concentration, and temperature. The results indicated that the maximum adsorption capacity of the mesoporous carbon for U­(VI) in the simulated aqueous solution and actual radioactive wastewater was respectively 109.46 mg/g at pH 5.5 and 328.15 K and 195.6 mg/g at pH 5.5 and the initial U­(VI) concentration of 189.75 mg/L. The adsorption data could be well described by the pseudo-second-order model and Freundlich isotherm model. The adsorption of U­(VI) on the mesoporous carbon was an endothermic and spontaneous process. The adsorption mechanism may be a complex chemical reaction between uranium and the oxygen-containing functional groups on the mesoporous carbon

    Adsorption of Uranium(VI) from a Simulated Saline Solution by Alkali-Activated Leather Waste

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    A porous adsorbent was prepared from leather waste by activation with alkali. The adsorbent, alkali-activated leather waste (AALW), was applied to adsorb uranium­(VI) and characterized by scanning electron microscopy, energy-dispersive X-ray detection, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy. The influence of the pH, initial uranium­(VI) concentration, temperature, and contact time on the adsorption of uranium­(VI) was systematically investigated. The adsorption of uranium­(VI) on AALW obeyed the Langmuir isotherm model and was attributed to ion exchange and complexation coordination. Thermodynamic and kinetic studies showed that the adsorption process was spontaneous and endothermic, and it reached adsorption equilibrium in 360 min. Moreover, the selective adsorption of uranium­(VI) from an aqueous solution containing coexisting ions and adsorption of trace uranium­(VI) from a simulated high-salinity environment showed that AALW had not only a strong affinity but a high selectivity for uranium­(VI)

    Stabilization of ssRNA on Graphene Oxide Surface: An Effective Way to Design Highly Robust RNA Probes

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    RNA probes constitute an important class of functional nucleic acids (FNAs). However, because of their notorious vulnerability to enzymatic degradation, extremely careful and special protocols must be followed when dealing with RNA probes. To fully use the large number of RNA FNAs available for bioanalysis and biomedicine, it is important to explore effective methods to protect RNA probes from enzymatic digestion. In this work, we systematically demonstrate that graphene oxide (GO) can effectively protect RNA probes from enzymatic digestion. Based on this finding, we propose an effective way to design robust RNA biosensors by simply mixing RNA probes with GO for analysis of nucleic acids, proteins, and small molecules. The entire assay is sensitive, selective, rapid, and more importantly, does not require any special protocols. The ability to protect ssRNA from enzymatic digestion by GO offers an exciting new way to stabilize ssRNA, which will not only provide new opportunities to utilize the large number of currently available, yet rarely explored, RNA FNAs for bioanalysis but also offer a new solution to protect important ssRNA molecules, such as microRNA and antisense ssRNA, for a great variety of biomedical applications

    Discovery of a Novel Ketohexokinase Inhibitor with Improved Drug Distribution in Target Tissue for the Treatment of Fructose Metabolic Disease

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    Excessive fructose absorption and its subsequent metabolisms are implicated in nonalcoholic fatty liver disease, obesity, and insulin resistance in humans. Ketohexokinase (KHK) is a primary enzyme involved in fructose metabolism via the conversion of fructose to fructose-1-phosphate. KHK inhibition might be a potential approach for the treatment of metabolic disorders. Herein, a series of novel KHK inhibitors were designed, synthesized, and evaluated. Among them, compound 14 exhibited more potent activity than PF-06835919 based on the rat KHK inhibition assay in vivo, and higher drug distribution concentration in the liver. Its good absorption, distribution, metabolism, and excretion and pharmacokinetic properties make it a promising clinical candidate

    LOOCV results for 913 monogenic diseases, based on symmetric disease phenotype networks processed with the logistic regression function.

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    <p>LOOCV results for 913 monogenic diseases, based on symmetric disease phenotype networks processed with the logistic regression function.</p

    Discovery of a Novel Ketohexokinase Inhibitor with Improved Drug Distribution in Target Tissue for the Treatment of Fructose Metabolic Disease

    No full text
    Excessive fructose absorption and its subsequent metabolisms are implicated in nonalcoholic fatty liver disease, obesity, and insulin resistance in humans. Ketohexokinase (KHK) is a primary enzyme involved in fructose metabolism via the conversion of fructose to fructose-1-phosphate. KHK inhibition might be a potential approach for the treatment of metabolic disorders. Herein, a series of novel KHK inhibitors were designed, synthesized, and evaluated. Among them, compound 14 exhibited more potent activity than PF-06835919 based on the rat KHK inhibition assay in vivo, and higher drug distribution concentration in the liver. Its good absorption, distribution, metabolism, and excretion and pharmacokinetic properties make it a promising clinical candidate

    Comparison of the LOOCV best results for 165 polygenic diseases, based on Tanimoto, mimMiner and their combination.

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    <p>The prioritization performance of Tanimoto, mimMiner and their combination is compared based on the evaluation criteria including mean rank ratio (MRR), number of the top-ranking genes, and True Positive Rate (TPR) in the top 5, 10 and 30 ranked genes. Totally, there were 427 disease-gene pairs in the 165 polygenic diseases. For the number of top-ranking genes shown in this figure, its percentage in 427 genes (i.e. TPR in the top 1) was calculated.</p

    Correlation between parameter <i>C</i> of the logistic function and the number of top-ranking genes.

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    <p>Correlation curve of parameter <i>C</i> of the logistic function and the number of top-ranking genes is plotted, and the slow peak value is presented for each of the six disease phenotype networks. The combination is an integration of mimMiner and Tanimoto in the respective proportion of 50%.</p
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