Background:Military operation personnel often suffer from sleep difficulty because of their work requirements.In this study,we investigated the efficacy of zaleplon at two doses to induce afternoon-sleep under noise i...Background:Military operation personnel often suffer from sleep difficulty because of their work requirements.In this study,we investigated the efficacy of zaleplon at two doses to induce afternoon-sleep under noise interference and its effects on psychomotor performance and vestibular function; we subsequently established the optimal dosage regimen for military operation personnel.Methods:Twenty-two healthy young male volunteers were recruited for the study.Eight subjects took 10 mg or 15 mg of zaleplon and placebo alternately and then were exposed to noise.Changes in polysomnography(PSG) indices,including sleep latency(SL),sleep efficiency(SE) and sleep structure,were recorded after drug administration.After awakening,the volunteers' subjective judgments of sleep quality and sleepiness were measured.Eight volunteers underwent 3 psychomotor performance tests at a one-week interval,and the psychomotor performance tests were conducted before and after taking zaleplon and placebo.Six volunteers participated in the vestibular function test session,and parameters,including optokinetic nystagmus(OKN),vestibular ocular reflex(VOR),visualvestibular ocular reflex(VVOR) and vestibular ocular reflex fixation suppression(VOR-Fix),were detected by the same experimental design as described above.The data of sleep observations were subjected to one-way variance analysis.Results:Compared with the placebo group,SL was shortened significantly,and the scores of subjective sleep quality and sleep depth were clearly increased in the zaleplon 10 mg group(P<0.05).Moreover,the SE and the percent of REM(rapid eye movement) sleep were increased remarkably in the zaleplon 15 mg group(P<0.01).Furthermore,the SE,percent of REM sleep and scores of subjective sleep depth in the zaleplon 15 mg group were significantly higher than in the zaleplon 10 mg group(P<0.05).The psychomotor performance did not change significantly after ingestion of 10 mg or 15 mg of zaleplon,whereas the OKN and VOR gains were lower in the two dose groups of zaleplon(P<0.05) and restored to normal 3h after drug ingestion.Conclusion:Zaleplon is an ideal hypnotic for military personnel,and its hypnotic efficiency is dose-related under noise interference; a 15 mg dose of zaleplon could provide significantly better sleep than a 10 mg dose of zaleplon.展开更多
Inhibiting the side reactions while promoting hydrogenation are the main target for the production of functional anilines from nitroarenes;consequently,the preparation of an ideal catalyst to improve chemical selectiv...Inhibiting the side reactions while promoting hydrogenation are the main target for the production of functional anilines from nitroarenes;consequently,the preparation of an ideal catalyst to improve chemical selectivity is one of the hot issues.In this work,we provided an easy-to-prepare catalyst with Ndoped carbon layers,where the Fe_(x)O_(y)nanoparticles were encapsulated and distributed uniformly.The structural features of catalyst were characterized by several techniques,and the selected catalyst was next applied to the hydrogenation of nitrobenzene under varied conditions,involving temperature,holding period and H2 pressure.Subsequently,we conducted the synthesis of more than 16 substrates for the corresponding anilines with varied functional groups.The hydrogenation protocol to gram-scale synthesis as well as lifecycle performance were also demonstrated in the batch reactor,together with the explanation of its catalytic mechanisms.Overall,the present work provides an available preparation of simple but highly efficient catalysts for the production or aromatic amines,which will be benefit for the sustainable development of this field in near future.展开更多
Objective To establish a new method with near-infrared（NIR） spectroscopy to determine the total content of emodin, chrysophanol, rhein, aloeemodin, and physcion. NIR was used in this study to provide rapid and nonde...Objective To establish a new method with near-infrared（NIR） spectroscopy to determine the total content of emodin, chrysophanol, rhein, aloeemodin, and physcion. NIR was used in this study to provide rapid and nondestructive analysis results. Methods In the first place, HPLC was used to measure the total content of emodin, chrysophanol, rhein, aloe-emodin and physcion in Rhei Radix et Rhizoma（RR） as a reference. In the second place, the spectral regions, regression methods, pretreatment methods, and partial least squares（PLS） factors were compared to increase the feasibility of the model. In the last, the root mean square error of calibration（RMSEC）, root mean square error of cross validation（RMSECV）, root mean square error of prediction（RMSEP）, and correlation coefficient（r） were used as assessment parameters. Results PLS with first derivative pretreatment in the ranges of 4242-5581 cm^（-1）, 5885-6233 cm^（-1） and 6394-7011 cm^（-1） provided the best results. The RMSEC and RMSEP obtained were 0.134 and 0.226 respectively. The according determination coefficients of the quantitative model were 0.99 and 0.94. Conclusion NIR spectroscopy as a quick and nondestructive analytical method may be used to determine the total content of emodin, chrysophanol, rhein, aloeemodin, and physcion for the quality control of RR.展开更多
Quantum computing is seeking to realize hardware-optimized algorithms for application-related computational tasks.NP(nondeterministic-polynomial-time)is a complexity class containing many important but intractable pro...Quantum computing is seeking to realize hardware-optimized algorithms for application-related computational tasks.NP(nondeterministic-polynomial-time)is a complexity class containing many important but intractable problems like the satisfiability of potentially conflict constraints(SAT).According to the well-founded exponential time hypothesis,verifying an SAT instance of size n requires generally the complete solution in an O(n)-bit proof.In contrast,quantum verification algorithms,which encode the solution into quantum bits rather than classical bit strings,can perform the verification task with quadratically reduced information about the solution in O~(Õ−−√n)qubits.Here we realize the quantum verification machine of SAT with single photons and linear optics.By using tunable optical setups,we efficiently verify satisfiable and unsatisfiable SAT instances and achieve a clear completeness-soundness gap even in the presence of experimental imperfections.The protocol requires only unentangled photons,linear operations on multiple modes and at most two-photon joint measurements.These features make the protocol suitable for photonic realization and scalable to large problem sizes with the advances in high-dimensional quantum information manipulation and large scale linear-optical systems.Our results open an essentially new route toward quantum advantages and extend the computational capability of optical quantum computing.展开更多
Biochar produced from pyrolysis of biomass has been developed as a platform carbonaceous material that can be used in various applications.The specific surface area(SSA)and functionalities such as N-containing functio...Biochar produced from pyrolysis of biomass has been developed as a platform carbonaceous material that can be used in various applications.The specific surface area(SSA)and functionalities such as N-containing functional groups of biochar are the most significant properties determining the application performance of biochar as a carbon material in various areas,such as removal of pollutants,adsorption of CO_(2)and H2,catalysis,and energy storage.Producing biochar with preferable SSA and N functional groups is among the frontiers to engineer biochar materials.This study attempted to build machine learning models to predict and optimize specific surface area of biochar(SSA-char),N content of biochar(N-char),and yield of biochar(Yield-char)individually or simultaneously,by using elemental,proximate,and biochemical compositions of biomass and pyrolysis conditions as input variables.The predictions of Yield-char,N-char,and SSA-char were compared by using random forest(RF)and gradient boosting regression(GBR)models.GBR outperformed RF for most predictions.When input parameters included elemental and proximate compositions as well as pyrolysis conditions,the test R^(2) values for the single-target and multi-target GBR models were 0.90-0.95 except for the two-target prediction of Yield-char and SSA-char which had a test R^(2) of 0.84 and the three-target prediction model which had a test R^(2) of 0.81.As indicated by the Pearson correlation coefficient between variables and the feature importance of these GBR models,the top influencing factors toward predicting three targets were specified as follows:pyrolysis temperature,residence time,and fixed carbon for Yield-char;N and ash for N-char;ash and pyrolysis temperature for SSA-char.The effects of these parameters on three targets were different,but the trade-offs of these three were balanced during multi-target ML prediction and optimization.The optimum solutions were then experimentally verified,which opens a new way for designing smart biochar with target properties and oriented application potential.展开更多
基金supported by a grant from the Military Medical Research Foundation of PLA,China (AWS14J011)
文摘Background:Military operation personnel often suffer from sleep difficulty because of their work requirements.In this study,we investigated the efficacy of zaleplon at two doses to induce afternoon-sleep under noise interference and its effects on psychomotor performance and vestibular function; we subsequently established the optimal dosage regimen for military operation personnel.Methods:Twenty-two healthy young male volunteers were recruited for the study.Eight subjects took 10 mg or 15 mg of zaleplon and placebo alternately and then were exposed to noise.Changes in polysomnography(PSG) indices,including sleep latency(SL),sleep efficiency(SE) and sleep structure,were recorded after drug administration.After awakening,the volunteers' subjective judgments of sleep quality and sleepiness were measured.Eight volunteers underwent 3 psychomotor performance tests at a one-week interval,and the psychomotor performance tests were conducted before and after taking zaleplon and placebo.Six volunteers participated in the vestibular function test session,and parameters,including optokinetic nystagmus(OKN),vestibular ocular reflex(VOR),visualvestibular ocular reflex(VVOR) and vestibular ocular reflex fixation suppression(VOR-Fix),were detected by the same experimental design as described above.The data of sleep observations were subjected to one-way variance analysis.Results:Compared with the placebo group,SL was shortened significantly,and the scores of subjective sleep quality and sleep depth were clearly increased in the zaleplon 10 mg group(P<0.05).Moreover,the SE and the percent of REM(rapid eye movement) sleep were increased remarkably in the zaleplon 15 mg group(P<0.01).Furthermore,the SE,percent of REM sleep and scores of subjective sleep depth in the zaleplon 15 mg group were significantly higher than in the zaleplon 10 mg group(P<0.05).The psychomotor performance did not change significantly after ingestion of 10 mg or 15 mg of zaleplon,whereas the OKN and VOR gains were lower in the two dose groups of zaleplon(P<0.05) and restored to normal 3h after drug ingestion.Conclusion:Zaleplon is an ideal hypnotic for military personnel,and its hypnotic efficiency is dose-related under noise interference; a 15 mg dose of zaleplon could provide significantly better sleep than a 10 mg dose of zaleplon.
基金supported financially by the National Natural Science Foundation of China(Nos.52236010,51876209,51876210 and 51906247)the Fundamental Research Funds for the Central Universities(No.2242022R10058)。
文摘Inhibiting the side reactions while promoting hydrogenation are the main target for the production of functional anilines from nitroarenes;consequently,the preparation of an ideal catalyst to improve chemical selectivity is one of the hot issues.In this work,we provided an easy-to-prepare catalyst with Ndoped carbon layers,where the Fe_(x)O_(y)nanoparticles were encapsulated and distributed uniformly.The structural features of catalyst were characterized by several techniques,and the selected catalyst was next applied to the hydrogenation of nitrobenzene under varied conditions,involving temperature,holding period and H2 pressure.Subsequently,we conducted the synthesis of more than 16 substrates for the corresponding anilines with varied functional groups.The hydrogenation protocol to gram-scale synthesis as well as lifecycle performance were also demonstrated in the batch reactor,together with the explanation of its catalytic mechanisms.Overall,the present work provides an available preparation of simple but highly efficient catalysts for the production or aromatic amines,which will be benefit for the sustainable development of this field in near future.
基金Special Fund of the National Bureau of TCM(No.201407003)
文摘Objective To establish a new method with near-infrared（NIR） spectroscopy to determine the total content of emodin, chrysophanol, rhein, aloeemodin, and physcion. NIR was used in this study to provide rapid and nondestructive analysis results. Methods In the first place, HPLC was used to measure the total content of emodin, chrysophanol, rhein, aloe-emodin and physcion in Rhei Radix et Rhizoma（RR） as a reference. In the second place, the spectral regions, regression methods, pretreatment methods, and partial least squares（PLS） factors were compared to increase the feasibility of the model. In the last, the root mean square error of calibration（RMSEC）, root mean square error of cross validation（RMSECV）, root mean square error of prediction（RMSEP）, and correlation coefficient（r） were used as assessment parameters. Results PLS with first derivative pretreatment in the ranges of 4242-5581 cm^（-1）, 5885-6233 cm^（-1） and 6394-7011 cm^（-1） provided the best results. The RMSEC and RMSEP obtained were 0.134 and 0.226 respectively. The according determination coefficients of the quantitative model were 0.99 and 0.94. Conclusion NIR spectroscopy as a quick and nondestructive analytical method may be used to determine the total content of emodin, chrysophanol, rhein, aloeemodin, and physcion for the quality control of RR.
基金This work was supported by the National Key Research and Development Program of China(Grant Nos.2019YFA0308700,2017YFA0303703 and 2018YFB1003202)the National Natural Science Foundation of China(Grant Nos.61972191,11690032,61975077 and 91836303)+1 种基金the Fundamental Research Funds for the Central Universities(Grant No.020214380068)P.Y.acknowledges financial support by Anhui Initiative in Quantum Information Technologies(Grant No.AHY150100).
文摘Quantum computing is seeking to realize hardware-optimized algorithms for application-related computational tasks.NP(nondeterministic-polynomial-time)is a complexity class containing many important but intractable problems like the satisfiability of potentially conflict constraints(SAT).According to the well-founded exponential time hypothesis,verifying an SAT instance of size n requires generally the complete solution in an O(n)-bit proof.In contrast,quantum verification algorithms,which encode the solution into quantum bits rather than classical bit strings,can perform the verification task with quadratically reduced information about the solution in O~(Õ−−√n)qubits.Here we realize the quantum verification machine of SAT with single photons and linear optics.By using tunable optical setups,we efficiently verify satisfiable and unsatisfiable SAT instances and achieve a clear completeness-soundness gap even in the presence of experimental imperfections.The protocol requires only unentangled photons,linear operations on multiple modes and at most two-photon joint measurements.These features make the protocol suitable for photonic realization and scalable to large problem sizes with the advances in high-dimensional quantum information manipulation and large scale linear-optical systems.Our results open an essentially new route toward quantum advantages and extend the computational capability of optical quantum computing.
基金the National Key Research and Development Program of China(2021YFE0104900)the National Natural Science Foundation of China(51906247)+1 种基金Hunan Provincial Natural Science Foundation of China(2022JJ20064)the Science and Technology Innovation Program of Hunan Province(2021RC4005).
文摘Biochar produced from pyrolysis of biomass has been developed as a platform carbonaceous material that can be used in various applications.The specific surface area(SSA)and functionalities such as N-containing functional groups of biochar are the most significant properties determining the application performance of biochar as a carbon material in various areas,such as removal of pollutants,adsorption of CO_(2)and H2,catalysis,and energy storage.Producing biochar with preferable SSA and N functional groups is among the frontiers to engineer biochar materials.This study attempted to build machine learning models to predict and optimize specific surface area of biochar(SSA-char),N content of biochar(N-char),and yield of biochar(Yield-char)individually or simultaneously,by using elemental,proximate,and biochemical compositions of biomass and pyrolysis conditions as input variables.The predictions of Yield-char,N-char,and SSA-char were compared by using random forest(RF)and gradient boosting regression(GBR)models.GBR outperformed RF for most predictions.When input parameters included elemental and proximate compositions as well as pyrolysis conditions,the test R^(2) values for the single-target and multi-target GBR models were 0.90-0.95 except for the two-target prediction of Yield-char and SSA-char which had a test R^(2) of 0.84 and the three-target prediction model which had a test R^(2) of 0.81.As indicated by the Pearson correlation coefficient between variables and the feature importance of these GBR models,the top influencing factors toward predicting three targets were specified as follows:pyrolysis temperature,residence time,and fixed carbon for Yield-char;N and ash for N-char;ash and pyrolysis temperature for SSA-char.The effects of these parameters on three targets were different,but the trade-offs of these three were balanced during multi-target ML prediction and optimization.The optimum solutions were then experimentally verified,which opens a new way for designing smart biochar with target properties and oriented application potential.
