Despite advances in current anti-cancer therapies,challenges such as drug resistance,toxicity,and tumor heterogeneity persist.The limitations of traditional single-target drugs and simple combination therapies are bec...Despite advances in current anti-cancer therapies,challenges such as drug resistance,toxicity,and tumor heterogeneity persist.The limitations of traditional single-target drugs and simple combination therapies are becoming increasingly apparent1.To address these issues,a novel treatment strategy,the artificially intelligent synergistic engineered drug(AISED)paradigm,merits further exploration.This paradigm is based on the systematic engineered integration of multiple active ingredients into a unified single entity through artificial intelligence(AI).This strategy is aimed at developing new anti-cancer drug designs involving multiple ingredients,multiple molecular targets,and multiple biological effects,for multiple cancer types,thereby providing a novel theoretical paradigm for overcoming existing treatment bottlenecks.展开更多
Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability,and the system frequency stability is facing unprecedented challenges.In order to solve rapid frequency fluct...Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability,and the system frequency stability is facing unprecedented challenges.In order to solve rapid frequency fluctuation caused by new energy units,this paper proposes a new energy power system frequency regulation strategy with multiple units including the doubly-fed pumped storage unit(DFPSU).Firstly,based on the model predictive control(MPC)theory,the state space equations are established by considering the operating characteristics of the units and the dynamic behavior of the system;secondly,the proportional-differential control link is introduced to minimize the frequency deviation to further optimize the frequency modulation(FM)output of the DFPSU and inhibit the rapid fluctuation of the frequency;lastly,it is verified on theMatlab/Simulink simulation platform,and the results show that the model predictive control with proportional-differential control link can further release the FM potential of the DFPSU,increase the depth of its FM,effectively reduce the frequency deviation of the system and its rate of change,realize the optimization of the active output of the DFPSU and that of other units,and improve the frequency response capability of the system.展开更多
AIM To report the results of the International Nosocomial Infection Control Consortium(INICC)study conducted in Quito,Ecuador.METHODS A device-associated healthcare-acquired infection(DAHAI)prospective surveillance st...AIM To report the results of the International Nosocomial Infection Control Consortium(INICC)study conducted in Quito,Ecuador.METHODS A device-associated healthcare-acquired infection(DAHAI)prospective surveillance study conducted from October 2013 to January 2015 in 2 adult intensive care units(ICUs)from 2 hospitals using the United States Centers for Disease Control/National Healthcare Safety Network(CDC/NHSN)definitions and INICC methods.RESULTS We followed 776 ICU patients for 4818 bed-days.The central line-associated bloodstream infection(CLABSI)rate was 6.5 per 1000 central line(CL)-days,the ventilator-associated pneumonia(VAP)rate was 44.3 per 1000 mechanical ventilator(MV)-days,and the catheterassociated urinary tract infection(CAUTI)rate was 5.7 per 1000 urinary catheter(UC)-days.CLABSI and CAUTI rates in our ICUs were similar to INICC rates[4.9(CLABSI)and 5.3(CAUTI)]and higher than NHSN rates[0.8(CLABSI)and 1.3(CAUTI)]-although device use ratios for CL and UC were higher than INICC and CDC/NSHN's ratios.By contrast,despite the VAP rate was higher than INICC(16.5)and NHSN's rates(1.1),MV DUR was lower in our ICUs.Resistance of A.baumannii to imipenem and meropenem was 75.0%,and of Pseudomonas aeruginosa to ciprofloxacin and piperacillin-tazobactam was higher than 72.7%,all them higher than CDC/NHSN rates.Excess length of stay was 7.4 d for patients with CLABSI,4.8 for patients with VAP and 9.2 for patients CAUTI.Excess crude mortality in ICUs was 30.9%for CLABSI,14.5%for VAP and 17.6%for CAUTI.CONCLUSION DA-HAI rates in our ICUs from Ecuador are higher than United States CDC/NSHN rates and similar to INICC international rates.展开更多
Transferring patients with critical illnesses from general wards to intensive care units (ICUs) is a crucial and time-sensitive process. This article presents strategies for improving the efficiency of patient transfe...Transferring patients with critical illnesses from general wards to intensive care units (ICUs) is a crucial and time-sensitive process. This article presents strategies for improving the efficiency of patient transfers, particularly in hospitals where intensive care units are located in buildings separate from general wards. Patient transfers comprise several steps: physicians issue orders, relatives are notified, equipment is prepared, and medical staff coordinate. We identified three factors that influence transfer time: preparation time for bed transfer, time required for shift handovers, and time required for between-ward patient movement. Unfamiliarity with transfer routes and long elevator wait times were factors that also influenced transfer time. The following strategies were proposed: develop a standardized material checklist, design key notes for patient transfers, and optimize transfer routes. These strategies reduced transfer times by 40% to 43%. This study demonstrates that by addressing logistical challenges and streamlining relevant procedures, hospitals can enhance safety and quality of care during patient transfers.展开更多
Novel stable high spin molecules possessing three different arranged fashions are designed with - · N-N< as a spin-containing(SC) fragment, phenylene as an end group and various aromatic molecules, such as ben...Novel stable high spin molecules possessing three different arranged fashions are designed with - · N-N< as a spin-containing(SC) fragment, phenylene as an end group and various aromatic molecules, such as benzene(1), 2,6-pyridine(2), 3,5-pyridine(3), pyridazine(4), 4,6-pyrimidine(5), 2,6-pyrimidine(6), pyrazine(7) and triazine(8), as a ferromagnetic coupling(FC) unit. The effects of the different coupling units on the spin multiplicities of the ground states and their stabilities were investigated by means of AM1-CI approach. It has been found that the spin densities on the two atoms of the SC fragment are different from delocalization results in the specific stability of - · N-N<. In these molecules, the stabilities of the triplet states decrease when the distance between the atoms of central SC(-N-) increases. It is shown that the heterocycles as the coupling units have influence on the stabilities of the high-spin ground states. That the heteroatom lying in m -phenyl can improve ferromagnetic coupling, while the heteroatom lying in o -phenyl or p -phenyl is not in favor of the ferromagnetic coupling.展开更多
Enhancement of the nonlinear optical(NLO)output power of lasers requires urgent development of an NLO crystal with a significant second-harmonic generation(SHG)response and sufficient birefringence for phase-matching ...Enhancement of the nonlinear optical(NLO)output power of lasers requires urgent development of an NLO crystal with a significant second-harmonic generation(SHG)response and sufficient birefringence for phase-matching capability;however,simultaneously optimizing these two key parameters remains a great challenge.In contrast to traditional single-anion units,the stereochemically-active lone pair Sb^(3+)ion is coordinated by S^(2-)and I^(-) ions to yield the mixed-anionic Sb SI chalcohalide that can enhance hyperpolarizability and anisotropic polarizability concurrently.As anticipated,Sb SI exhibited the largest SHG response(5.7×Ag Ga S_(2)@1.91μm)among phase-matching Sb-based sulfides,the favorable laser-induced damage threshold(LIDT,2.3×Ag Ga S_(2)@2.09μm),and the giant calculated birefringence(0.62@1.91μm).Structural analysis and computational simulations indicate that the highly polarizable mixed anion determine the enormous SHG response and birefringence.展开更多
The donor-acceptor hydrogen bonding strategy has been proposed to enforce coplanar packing of anisotropic π-conjugated units, thereby maximizing the material's achievable birefringence. Herein, employing this str...The donor-acceptor hydrogen bonding strategy has been proposed to enforce coplanar packing of anisotropic π-conjugated units, thereby maximizing the material's achievable birefringence. Herein, employing this strategy, we successfully obtain two highly coplanar birefringent crystals, FAHC_(2)O_(4) and FAH_(2)C_(3)N_(3)S_(3) (FA+: CH5N2, for-mamidinium). FAHC_(2)O_(4) shows a wide bandgap (4.20 eV), while FAH_(2)C_(3)N_(3)S_(3) exhibits a narrower bandgap (2.96 eV) due to the involvement of sulfur atom. Both crystals display notable birefringence in their respective material classes: 0.275@546 nm and 0.504@546 nm, respectively. X-ray crystallography and computational studies attribute the pronounced birefringence to their π-conjugated moieties and their near-coplanar configu-rations. Comparative analysis of FAHC_(2)O_(4) and FAH_(2)C_(3)N_(3)S_(3) further establishes that the hydrogen bond strength directly influences the molecular coplanarity degree. These findings provide new insights for applying the donor-acceptor hydrogen bonding strategy in the rational design of high-performance birefringent materials.展开更多
Load deviations between the output of ultra-supercritical(USC)coal-fired power units and automatic generation control(AGC)commands can adversely affect the safe and stable operation of these units and grid load dispat...Load deviations between the output of ultra-supercritical(USC)coal-fired power units and automatic generation control(AGC)commands can adversely affect the safe and stable operation of these units and grid load dispatching.Data-driven diagnostic methods often fail to account for the imbalanced distribution of data samples,leading to reduced classification performance in diagnosing load deviations in USC units.To address the class imbalance issue in USC load deviation datasets,this study proposes a diagnostic method based on the multi-label natural neighbor boundary oversampling technique(MLNaNBDOS).The method is articulated in three phases.Initially,the traditional binary oversampling strategy is improved by constructing a binary multi-label relationship for the load deviations in coal-fired units.Subsequently,an adaptive adjustment of the oversampling factor is implemented to determine the oversampling weight for each sample class.Finally,the generation of new instances is refined by dynamically evaluating the similarity between new cases and natural neighbors through a random factor,ensuring precise control over the instance generation process.In comparisons with nine benchmark methods across three imbalanced USC load deviation datasets,the proposed method demonstrates superior performance on several key evaluation metrics,including Micro-F1,Micro-G-mean,and Hamming Loss,with average values of 0.8497,0.9150,and 0.1503,respectively.These results substantiate the effectiveness of the proposed method in accurately diagnosing the sources of load deviations in USC units.展开更多
Coking at the fractionating tower bottom and the decant oil circulation system disrupts the heat balance,leading to unplanned shutdown and destroying the long period stable operation of the Fluid Catalytic Cracking Un...Coking at the fractionating tower bottom and the decant oil circulation system disrupts the heat balance,leading to unplanned shutdown and destroying the long period stable operation of the Fluid Catalytic Cracking Unit(FCCU).The FCCU operates through interconnected subsystems,generating high-dimensional,nonlinear,and non-stationary data characterized by spatiotemporally correlated.The decant oil solid content is the crucial indicator for monitoring catalyst loss from the reactor-regenerator system and coking risk tendency at the fractionating tower bottom that relies on sampling and laboratory testing,which is lagging responsiveness and labor-intensive.Developing the online decant oil solid content soft sensor using industrial data to support operators in conducting predictive maintenance is essential.Therefore,this paper proposes a hybrid deep learning framework for soft sensor development that combines spatiotemporal pattern extraction with interpretability,enabling accurate risk identification in dynamic operational conditions.This framework employs a Filter-Wrapper method for dimensionality reduction,followed by a 2D Convolutional Neural Network(2DCNN)for extracting spatial patterns,and a Bidirectional Gated Recurrent Unit(BiGRU)for capturing long-term temporal dependencies,with an Attention Mechanism(AM)to highlight critical features adaptively.The integration of SHapley Additive exPlanations(SHAP),Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN),2DCNN,and expert knowledge precisely quantifies feature contributions and decomposes signals,significantly enhancing the practicality of risk identification.Applied to a China refinery with processing capacity of 2.80×10^(6) t/a,the soft sensor achieved the R^(2) value of 0.93 and five-level risk identification accuracy of 96.42%.These results demonstrate the framework's accuracy,robustness,and suitability for complex industrial scenarios,advancing risk visualization and management.展开更多
The Wufeng-Longmaxi marine shale in the Eastern Sichuan Basin is the key target for shale gas exploration in China.Based on logging response and lithofacies type,three paleo-geomorphological units are identified in th...The Wufeng-Longmaxi marine shale in the Eastern Sichuan Basin is the key target for shale gas exploration in China.Based on logging response and lithofacies type,three paleo-geomorphological units are identified in the deep-water shelf during the Wufeng-Longmaxi deposition:subaqueous slope(SS),subaqueous plain(SP),and subaqueous sub-sag(SSS).Using methods such as mercury intrusion porosimetry(MIP),field emission scanning electron microscopy(FE-SEM),nuclear magnetic resonance(NMR),and X-ray diffraction(XRD),the differences of environmental conditions,mineral composition,organic matter(OM)content,and pore structure in different units are determined,and the factors controlling the differences in shale reservoirs are discussed.The results show that redox conditions of bottom water and productivity of surface water affect OM enrichment,resulting in SSS being the most organic-rich unit.Terrigenous detrital input affects mineral composition in different units,and SSS is the most quartz-rich unit.From SS to SSS shale,the proportion of OM pores gradually increased,while the proportion of inorganic pores and microfractures gradually decreased.The pore size distribution dominated by mesopores in SP and SSS shale is generally consistent,much higher than in SS.The differences in sedimentary environments result in differences in reservoir quality.The OM and brittle mineral content in SSS are relatively high,which is beneficial for reservoir development.SSS has the best environmental conditions;therefore,the quality of the marine shale reservoirs formed is the best.展开更多
By analyzing the bus operation environment and accounting for prediction uncertainties,a bus arrival interval prediction model was developed utilizing a gated recur-rent unit(GRU)neural network.To reduce the impact of...By analyzing the bus operation environment and accounting for prediction uncertainties,a bus arrival interval prediction model was developed utilizing a gated recur-rent unit(GRU)neural network.To reduce the impact of irrelevant data and boost prediction accuracy,an attention mechanism was integrated into the point model to concen-trate on important input sequence information.Based on the point predictions,the lower upper bound estimation(LUBE)method was used,providing a range for the bus interval times predicted by the model.The model was vali-dated using data from 169 bus routes in Nanchang,Jiangxi Province.The results indicated that the attention-GRU model outperformed neural network,long short-term memory and GRU models.Compared with the Bootstrap method,the LUBE method has a narrower average interval width.The coverage width-based criterion(CWC)was reduced by 8.1%,2.2%,and 5.7%at confidence levels of 85%,90%,and 95%,respectively,during the off-peak period,and by 23.2%,26.9%,and 27.3%at confidence levels of 85%,90%,and 95%,respectively,during the peak period.Therefore,it can accurately describe the fluctuation range in bus arrival times with higher accuracy and stability.展开更多
In January 2025,the United States issued executive orders that could potentially curtail lesbian,gay,bisexual,transgender,queer,and other sexual and gender minorities(LGBTQ+)rights and federal aid to developing countr...In January 2025,the United States issued executive orders that could potentially curtail lesbian,gay,bisexual,transgender,queer,and other sexual and gender minorities(LGBTQ+)rights and federal aid to developing countries,such as public health programs under the United States Agency for International Development(USAID)[1,2].In the Philippines,USAID has played an important role in funding and supporting initiatives to address the country’s local HIV epidemic[2,3].展开更多
The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mo...The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mode,conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints,limiting their effectiveness.This paper presents an innovative primary frequency control strategy for double-fed pumped storage units(DFPSUs)operating in pumpingmode,integrating an adaptive parameter calculation method.This method is constrained by operational speed and power limits,addressing key performance factors.A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations into coordinated adjustments in speed and power during pumping operations.The research thoroughly analyzes the influence of control parameters on the frequency response dynamics.Additionally,the paper introduces a deep reinforcement learning(DRL)-based optimization framework,which enables real-time tuning of control parameters in response to changing rotor speed and frequency states.This method strategicallymanages the utilization of kinetic energy while ensuring compliance with operational safety constraints.The effectiveness of the proposed strategy is validated through simulation studies conducted on a four-machine,two-area DFPSU system.These studies demonstrate the strategy’s potential for improving frequency regulation performance under a variety of operating conditions,highlighting its effectiveness in optimizing energy storage and frequency control in power grids.展开更多
In high-renewable-energy power systems,the demand for fast-responding capabilities is growing.To address the limitations of conventional closed-loop frequency control,where the integral coefficient cannot dynamically ...In high-renewable-energy power systems,the demand for fast-responding capabilities is growing.To address the limitations of conventional closed-loop frequency control,where the integral coefficient cannot dynamically adjust the frequency regulation command based on the state of charge(SoC)of energy storage units,this paper proposes a secondary frequency regulation control strategy based on variable integral coefficients for multiple energy storage units.First,a power-uniform controller is designed to ensure that thermal power units gradually take on more regulation power during the frequency regulation process.Next,a control framework based on variable integral coefficients is proposed within the secondary frequency regulation model,along with an objective function that simultaneously considers both Automatic Generation Control(AGC)command tracking performance and SoC recovery requirements of energy storage units.Finally,a gradient descent optimization method is used to dynamically adjust the gain of the energy storage integral controller,allowingmultiple energy storage units to respond in real-time to AGC instructions and SoC variations.Simulation results confirmthe effectiveness of the proposedmethod.Compared to traditional strategies,the proposed approach takes into account the SoCdiscrepancies amongmultiple energy storage units and the duration of system net power imbalances.It successfully implements secondary frequency regulation while achieving dynamic power allocation among the units.展开更多
BACKGROUND Parental presence in neonatal units(NUs)is essential for infant development and family well-being.A deeper understanding of the factors influencing parental presence is vital and will contribute to the deve...BACKGROUND Parental presence in neonatal units(NUs)is essential for infant development and family well-being.A deeper understanding of the factors influencing parental presence is vital and will contribute to the development of targeted interventions and policies that enhance parental engagement in neonatal care,thereby improving outcomes for infants and their families.AIM To identify and analyze primary factors influencing parental involvement in their child’s care in a neonatal intensive care unit(NICU).METHODS A literature search was conducted using the PubMed,MEDLINE,and Cochrane Library for systematic reviews databases,with the following search terms:“parental presence neonatology”,“couplet care”,“zero separation neonatal care”,“family integrated care”,“couplet care intervention”,“mother-child separation”,“parents newborn togetherness”,“mother-baby care”,“closeness and separation NICU”,“mother-infant interaction NICU”,“kangaroo care”,“dyad mother-infant”,and“newborn integrated care”.The database search for this literature review began on December 10,2024,with the final search conducted on April 10,2025.RESULTS The literature search yielded 281 articles,out of which 23 were selected for a detailed review.The factors associated with parental presence in NUs were grouped into five main categories:Parents’socio-demographic and cultural traits;the physical layout and care model of the NUs;the quality of parents’relationships with the healthcare staff;their active involvement in neonatal care;and the newborn’s health status.CONCLUSION The identification of factors that affect parental presence in NUs is critical for developing effective strategies aimed at encouraging increased parental involvement and ultimately improving neonatal and family outcomes.展开更多
Turnout is one of the important signal infrastructure equipment,which will directly affect the safety and efficiency of driving.Base on analysis of the power curve of the turnout,we extract and select the time domain ...Turnout is one of the important signal infrastructure equipment,which will directly affect the safety and efficiency of driving.Base on analysis of the power curve of the turnout,we extract and select the time domain and Haar wavelet transform characteristics of the curve firstly.Then the correlation between the degradation state and the fault state is established by using the clustering algorithm and the Pearson correlation coefficient.Finally,the convolutional neural network(CNN)and the gated recurrent unit(GRU)are used to establish the state prediction model of the turnout to realize the failure prediction.The CNN can directly extract features from the original data of the turnout and reduce the dimension,which simplifies the prediction process.Due to its unique gate structure and time series processing features,GRU has certain advantages over the traditional forecasting methods in terms of prediction accuracy and time.The experimental results show that the accuracy of prediction can reach 94.2%when the feature matrix adopts 40-dimensional input and iterates 50 times.展开更多
Apparel exports China:The decline in exports widened from January to September(-2.4%,compared to-0.2%in January-June).Exports to the EU increased(+5.9%),though the growth rate moderated.Exports to the US saw a larger ...Apparel exports China:The decline in exports widened from January to September(-2.4%,compared to-0.2%in January-June).Exports to the EU increased(+5.9%),though the growth rate moderated.Exports to the US saw a larger contraction(January-June:-1.6%,January-September:-8.2%).While exports to ASEAN countries still fell by over 10%(-17.7%),shipments to the Philippines(+6.9%),Indonesia(+19.0%),and Cambodia(+64.9%)demonstrated stronger growth performance within the year.Regarding tariffs,on October 30,China and the US agreed to lower the rates on goods subject to additional duties(effectively reducing the average tariff rate on Chinese imports to the US from about 57%to approximately 47%,though this remains significantly higher than the 19.5%overall average rate applied to other countries).展开更多
As a public basic course and the core general course of undergraduate education,moral education(ME)in College English is imperative.It is necessary to design specific teaching programs flexibly and creatively on the b...As a public basic course and the core general course of undergraduate education,moral education(ME)in College English is imperative.It is necessary to design specific teaching programs flexibly and creatively on the basis of fully understanding the ideas,objectives and tasks,basic principles and implementation methods of ME.This paper tries integrating literature reading into unit topic teaching as a new approach to ME in College English.The specific pathways of integration include:expansion of literary reading content,diversified teaching of literary reading,diversified media of literary reading,and diversified assessment system of literary quality.The integration of literature reading and unit topic teaching is conducive to the realization of the teaching goal of cultivating students’language ability,humanistic quality,and correct values.展开更多
文摘Despite advances in current anti-cancer therapies,challenges such as drug resistance,toxicity,and tumor heterogeneity persist.The limitations of traditional single-target drugs and simple combination therapies are becoming increasingly apparent1.To address these issues,a novel treatment strategy,the artificially intelligent synergistic engineered drug(AISED)paradigm,merits further exploration.This paradigm is based on the systematic engineered integration of multiple active ingredients into a unified single entity through artificial intelligence(AI).This strategy is aimed at developing new anti-cancer drug designs involving multiple ingredients,multiple molecular targets,and multiple biological effects,for multiple cancer types,thereby providing a novel theoretical paradigm for overcoming existing treatment bottlenecks.
基金supported by the National Natural Science Foundation of China(Project No.52377082)the Scientific Research Program of Jilin Provincial Department of Education(Project No.JJKH20230123KJ).
文摘Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability,and the system frequency stability is facing unprecedented challenges.In order to solve rapid frequency fluctuation caused by new energy units,this paper proposes a new energy power system frequency regulation strategy with multiple units including the doubly-fed pumped storage unit(DFPSU).Firstly,based on the model predictive control(MPC)theory,the state space equations are established by considering the operating characteristics of the units and the dynamic behavior of the system;secondly,the proportional-differential control link is introduced to minimize the frequency deviation to further optimize the frequency modulation(FM)output of the DFPSU and inhibit the rapid fluctuation of the frequency;lastly,it is verified on theMatlab/Simulink simulation platform,and the results show that the model predictive control with proportional-differential control link can further release the FM potential of the DFPSU,increase the depth of its FM,effectively reduce the frequency deviation of the system and its rate of change,realize the optimization of the active output of the DFPSU and that of other units,and improve the frequency response capability of the system.
文摘AIM To report the results of the International Nosocomial Infection Control Consortium(INICC)study conducted in Quito,Ecuador.METHODS A device-associated healthcare-acquired infection(DAHAI)prospective surveillance study conducted from October 2013 to January 2015 in 2 adult intensive care units(ICUs)from 2 hospitals using the United States Centers for Disease Control/National Healthcare Safety Network(CDC/NHSN)definitions and INICC methods.RESULTS We followed 776 ICU patients for 4818 bed-days.The central line-associated bloodstream infection(CLABSI)rate was 6.5 per 1000 central line(CL)-days,the ventilator-associated pneumonia(VAP)rate was 44.3 per 1000 mechanical ventilator(MV)-days,and the catheterassociated urinary tract infection(CAUTI)rate was 5.7 per 1000 urinary catheter(UC)-days.CLABSI and CAUTI rates in our ICUs were similar to INICC rates[4.9(CLABSI)and 5.3(CAUTI)]and higher than NHSN rates[0.8(CLABSI)and 1.3(CAUTI)]-although device use ratios for CL and UC were higher than INICC and CDC/NSHN's ratios.By contrast,despite the VAP rate was higher than INICC(16.5)and NHSN's rates(1.1),MV DUR was lower in our ICUs.Resistance of A.baumannii to imipenem and meropenem was 75.0%,and of Pseudomonas aeruginosa to ciprofloxacin and piperacillin-tazobactam was higher than 72.7%,all them higher than CDC/NHSN rates.Excess length of stay was 7.4 d for patients with CLABSI,4.8 for patients with VAP and 9.2 for patients CAUTI.Excess crude mortality in ICUs was 30.9%for CLABSI,14.5%for VAP and 17.6%for CAUTI.CONCLUSION DA-HAI rates in our ICUs from Ecuador are higher than United States CDC/NSHN rates and similar to INICC international rates.
文摘Transferring patients with critical illnesses from general wards to intensive care units (ICUs) is a crucial and time-sensitive process. This article presents strategies for improving the efficiency of patient transfers, particularly in hospitals where intensive care units are located in buildings separate from general wards. Patient transfers comprise several steps: physicians issue orders, relatives are notified, equipment is prepared, and medical staff coordinate. We identified three factors that influence transfer time: preparation time for bed transfer, time required for shift handovers, and time required for between-ward patient movement. Unfamiliarity with transfer routes and long elevator wait times were factors that also influenced transfer time. The following strategies were proposed: develop a standardized material checklist, design key notes for patient transfers, and optimize transfer routes. These strategies reduced transfer times by 40% to 43%. This study demonstrates that by addressing logistical challenges and streamlining relevant procedures, hospitals can enhance safety and quality of care during patient transfers.
基金Supported by the National Natural Science Foundation of China( No.2 980 4 0 0 2,2 0 2 74 0 0 6 ) ,FokYingTungEducationFoundation( No.710 13) and Foundation of Northeast Normal University( No.1114 34)
文摘Novel stable high spin molecules possessing three different arranged fashions are designed with - · N-N< as a spin-containing(SC) fragment, phenylene as an end group and various aromatic molecules, such as benzene(1), 2,6-pyridine(2), 3,5-pyridine(3), pyridazine(4), 4,6-pyrimidine(5), 2,6-pyrimidine(6), pyrazine(7) and triazine(8), as a ferromagnetic coupling(FC) unit. The effects of the different coupling units on the spin multiplicities of the ground states and their stabilities were investigated by means of AM1-CI approach. It has been found that the spin densities on the two atoms of the SC fragment are different from delocalization results in the specific stability of - · N-N<. In these molecules, the stabilities of the triplet states decrease when the distance between the atoms of central SC(-N-) increases. It is shown that the heterocycles as the coupling units have influence on the stabilities of the high-spin ground states. That the heteroatom lying in m -phenyl can improve ferromagnetic coupling, while the heteroatom lying in o -phenyl or p -phenyl is not in favor of the ferromagnetic coupling.
基金supported by the National Natural Science Foundation of China(Nos.21921001,22075283,92161125,22175172,21827813,U21A20508)the Youth Innovation Promotion Association of Chinese Academy of Sciences(Nos.2020303,2021300)the Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China(No.2020ZZ108)。
文摘Enhancement of the nonlinear optical(NLO)output power of lasers requires urgent development of an NLO crystal with a significant second-harmonic generation(SHG)response and sufficient birefringence for phase-matching capability;however,simultaneously optimizing these two key parameters remains a great challenge.In contrast to traditional single-anion units,the stereochemically-active lone pair Sb^(3+)ion is coordinated by S^(2-)and I^(-) ions to yield the mixed-anionic Sb SI chalcohalide that can enhance hyperpolarizability and anisotropic polarizability concurrently.As anticipated,Sb SI exhibited the largest SHG response(5.7×Ag Ga S_(2)@1.91μm)among phase-matching Sb-based sulfides,the favorable laser-induced damage threshold(LIDT,2.3×Ag Ga S_(2)@2.09μm),and the giant calculated birefringence(0.62@1.91μm).Structural analysis and computational simulations indicate that the highly polarizable mixed anion determine the enormous SHG response and birefringence.
基金the National Natural Science Foundation of China(22193043).
文摘The donor-acceptor hydrogen bonding strategy has been proposed to enforce coplanar packing of anisotropic π-conjugated units, thereby maximizing the material's achievable birefringence. Herein, employing this strategy, we successfully obtain two highly coplanar birefringent crystals, FAHC_(2)O_(4) and FAH_(2)C_(3)N_(3)S_(3) (FA+: CH5N2, for-mamidinium). FAHC_(2)O_(4) shows a wide bandgap (4.20 eV), while FAH_(2)C_(3)N_(3)S_(3) exhibits a narrower bandgap (2.96 eV) due to the involvement of sulfur atom. Both crystals display notable birefringence in their respective material classes: 0.275@546 nm and 0.504@546 nm, respectively. X-ray crystallography and computational studies attribute the pronounced birefringence to their π-conjugated moieties and their near-coplanar configu-rations. Comparative analysis of FAHC_(2)O_(4) and FAH_(2)C_(3)N_(3)S_(3) further establishes that the hydrogen bond strength directly influences the molecular coplanarity degree. These findings provide new insights for applying the donor-acceptor hydrogen bonding strategy in the rational design of high-performance birefringent materials.
基金supported by the National Natural Science Foundation of China(Grant No.62173050)Shenzhen Municipal Science and Technology Innovation Committee(Grant No.KCXFZ20211020165004006)+3 种基金Natural Science Foundation of Hunan Province of China(Grant No.2023JJ30051)Hunan Provincial Graduate Student Research Innovation Project(Grant No.QL20230214)Major Scientific and Technological Innovation Platform Project of Hunan Province(2024JC1003)Hunan Provincial University Students’Energy Conservation and Emission Reduction Innovation and Entrepreneurship Education Center(Grant No.2019-10).
文摘Load deviations between the output of ultra-supercritical(USC)coal-fired power units and automatic generation control(AGC)commands can adversely affect the safe and stable operation of these units and grid load dispatching.Data-driven diagnostic methods often fail to account for the imbalanced distribution of data samples,leading to reduced classification performance in diagnosing load deviations in USC units.To address the class imbalance issue in USC load deviation datasets,this study proposes a diagnostic method based on the multi-label natural neighbor boundary oversampling technique(MLNaNBDOS).The method is articulated in three phases.Initially,the traditional binary oversampling strategy is improved by constructing a binary multi-label relationship for the load deviations in coal-fired units.Subsequently,an adaptive adjustment of the oversampling factor is implemented to determine the oversampling weight for each sample class.Finally,the generation of new instances is refined by dynamically evaluating the similarity between new cases and natural neighbors through a random factor,ensuring precise control over the instance generation process.In comparisons with nine benchmark methods across three imbalanced USC load deviation datasets,the proposed method demonstrates superior performance on several key evaluation metrics,including Micro-F1,Micro-G-mean,and Hamming Loss,with average values of 0.8497,0.9150,and 0.1503,respectively.These results substantiate the effectiveness of the proposed method in accurately diagnosing the sources of load deviations in USC units.
基金supported by the Innovative Research Group Project of the National Natural Science Foundation of China(22021004)Sinopec Major Science and Technology Projects(321123-1)。
文摘Coking at the fractionating tower bottom and the decant oil circulation system disrupts the heat balance,leading to unplanned shutdown and destroying the long period stable operation of the Fluid Catalytic Cracking Unit(FCCU).The FCCU operates through interconnected subsystems,generating high-dimensional,nonlinear,and non-stationary data characterized by spatiotemporally correlated.The decant oil solid content is the crucial indicator for monitoring catalyst loss from the reactor-regenerator system and coking risk tendency at the fractionating tower bottom that relies on sampling and laboratory testing,which is lagging responsiveness and labor-intensive.Developing the online decant oil solid content soft sensor using industrial data to support operators in conducting predictive maintenance is essential.Therefore,this paper proposes a hybrid deep learning framework for soft sensor development that combines spatiotemporal pattern extraction with interpretability,enabling accurate risk identification in dynamic operational conditions.This framework employs a Filter-Wrapper method for dimensionality reduction,followed by a 2D Convolutional Neural Network(2DCNN)for extracting spatial patterns,and a Bidirectional Gated Recurrent Unit(BiGRU)for capturing long-term temporal dependencies,with an Attention Mechanism(AM)to highlight critical features adaptively.The integration of SHapley Additive exPlanations(SHAP),Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN),2DCNN,and expert knowledge precisely quantifies feature contributions and decomposes signals,significantly enhancing the practicality of risk identification.Applied to a China refinery with processing capacity of 2.80×10^(6) t/a,the soft sensor achieved the R^(2) value of 0.93 and five-level risk identification accuracy of 96.42%.These results demonstrate the framework's accuracy,robustness,and suitability for complex industrial scenarios,advancing risk visualization and management.
基金the National Natural Science Foundation of China,China(No.42272171)National Natural Science Foundation of China,China(No.42302166)Science and Technology Cooperation Project of the CNPCSWPU Innovation Alliance Q3(Grant No.2020CX030101)。
文摘The Wufeng-Longmaxi marine shale in the Eastern Sichuan Basin is the key target for shale gas exploration in China.Based on logging response and lithofacies type,three paleo-geomorphological units are identified in the deep-water shelf during the Wufeng-Longmaxi deposition:subaqueous slope(SS),subaqueous plain(SP),and subaqueous sub-sag(SSS).Using methods such as mercury intrusion porosimetry(MIP),field emission scanning electron microscopy(FE-SEM),nuclear magnetic resonance(NMR),and X-ray diffraction(XRD),the differences of environmental conditions,mineral composition,organic matter(OM)content,and pore structure in different units are determined,and the factors controlling the differences in shale reservoirs are discussed.The results show that redox conditions of bottom water and productivity of surface water affect OM enrichment,resulting in SSS being the most organic-rich unit.Terrigenous detrital input affects mineral composition in different units,and SSS is the most quartz-rich unit.From SS to SSS shale,the proportion of OM pores gradually increased,while the proportion of inorganic pores and microfractures gradually decreased.The pore size distribution dominated by mesopores in SP and SSS shale is generally consistent,much higher than in SS.The differences in sedimentary environments result in differences in reservoir quality.The OM and brittle mineral content in SSS are relatively high,which is beneficial for reservoir development.SSS has the best environmental conditions;therefore,the quality of the marine shale reservoirs formed is the best.
基金The National Natural Science Foundation of China(No.52162042)General Science and Technology Project of Jiangxi Provincial Department of Transportation(No.2024YB039).
文摘By analyzing the bus operation environment and accounting for prediction uncertainties,a bus arrival interval prediction model was developed utilizing a gated recur-rent unit(GRU)neural network.To reduce the impact of irrelevant data and boost prediction accuracy,an attention mechanism was integrated into the point model to concen-trate on important input sequence information.Based on the point predictions,the lower upper bound estimation(LUBE)method was used,providing a range for the bus interval times predicted by the model.The model was vali-dated using data from 169 bus routes in Nanchang,Jiangxi Province.The results indicated that the attention-GRU model outperformed neural network,long short-term memory and GRU models.Compared with the Bootstrap method,the LUBE method has a narrower average interval width.The coverage width-based criterion(CWC)was reduced by 8.1%,2.2%,and 5.7%at confidence levels of 85%,90%,and 95%,respectively,during the off-peak period,and by 23.2%,26.9%,and 27.3%at confidence levels of 85%,90%,and 95%,respectively,during the peak period.Therefore,it can accurately describe the fluctuation range in bus arrival times with higher accuracy and stability.
文摘In January 2025,the United States issued executive orders that could potentially curtail lesbian,gay,bisexual,transgender,queer,and other sexual and gender minorities(LGBTQ+)rights and federal aid to developing countries,such as public health programs under the United States Agency for International Development(USAID)[1,2].In the Philippines,USAID has played an important role in funding and supporting initiatives to address the country’s local HIV epidemic[2,3].
文摘The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency.While doubly-fed pumped storage units(DFPSUs)offer frequency regulation potential in pumping mode,conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints,limiting their effectiveness.This paper presents an innovative primary frequency control strategy for double-fed pumped storage units(DFPSUs)operating in pumpingmode,integrating an adaptive parameter calculation method.This method is constrained by operational speed and power limits,addressing key performance factors.A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations into coordinated adjustments in speed and power during pumping operations.The research thoroughly analyzes the influence of control parameters on the frequency response dynamics.Additionally,the paper introduces a deep reinforcement learning(DRL)-based optimization framework,which enables real-time tuning of control parameters in response to changing rotor speed and frequency states.This method strategicallymanages the utilization of kinetic energy while ensuring compliance with operational safety constraints.The effectiveness of the proposed strategy is validated through simulation studies conducted on a four-machine,two-area DFPSU system.These studies demonstrate the strategy’s potential for improving frequency regulation performance under a variety of operating conditions,highlighting its effectiveness in optimizing energy storage and frequency control in power grids.
文摘In high-renewable-energy power systems,the demand for fast-responding capabilities is growing.To address the limitations of conventional closed-loop frequency control,where the integral coefficient cannot dynamically adjust the frequency regulation command based on the state of charge(SoC)of energy storage units,this paper proposes a secondary frequency regulation control strategy based on variable integral coefficients for multiple energy storage units.First,a power-uniform controller is designed to ensure that thermal power units gradually take on more regulation power during the frequency regulation process.Next,a control framework based on variable integral coefficients is proposed within the secondary frequency regulation model,along with an objective function that simultaneously considers both Automatic Generation Control(AGC)command tracking performance and SoC recovery requirements of energy storage units.Finally,a gradient descent optimization method is used to dynamically adjust the gain of the energy storage integral controller,allowingmultiple energy storage units to respond in real-time to AGC instructions and SoC variations.Simulation results confirmthe effectiveness of the proposedmethod.Compared to traditional strategies,the proposed approach takes into account the SoCdiscrepancies amongmultiple energy storage units and the duration of system net power imbalances.It successfully implements secondary frequency regulation while achieving dynamic power allocation among the units.
文摘BACKGROUND Parental presence in neonatal units(NUs)is essential for infant development and family well-being.A deeper understanding of the factors influencing parental presence is vital and will contribute to the development of targeted interventions and policies that enhance parental engagement in neonatal care,thereby improving outcomes for infants and their families.AIM To identify and analyze primary factors influencing parental involvement in their child’s care in a neonatal intensive care unit(NICU).METHODS A literature search was conducted using the PubMed,MEDLINE,and Cochrane Library for systematic reviews databases,with the following search terms:“parental presence neonatology”,“couplet care”,“zero separation neonatal care”,“family integrated care”,“couplet care intervention”,“mother-child separation”,“parents newborn togetherness”,“mother-baby care”,“closeness and separation NICU”,“mother-infant interaction NICU”,“kangaroo care”,“dyad mother-infant”,and“newborn integrated care”.The database search for this literature review began on December 10,2024,with the final search conducted on April 10,2025.RESULTS The literature search yielded 281 articles,out of which 23 were selected for a detailed review.The factors associated with parental presence in NUs were grouped into five main categories:Parents’socio-demographic and cultural traits;the physical layout and care model of the NUs;the quality of parents’relationships with the healthcare staff;their active involvement in neonatal care;and the newborn’s health status.CONCLUSION The identification of factors that affect parental presence in NUs is critical for developing effective strategies aimed at encouraging increased parental involvement and ultimately improving neonatal and family outcomes.
基金National Natural Science Foundation of China(Nos.61863024,71761023)Funding for Scientific Research Projects of Colleges and Universities in Gansu Province(Nos.2018C-11,2018A-22)Natural Science Fund of Gansu Province(No.18JR3RA130)。
文摘Turnout is one of the important signal infrastructure equipment,which will directly affect the safety and efficiency of driving.Base on analysis of the power curve of the turnout,we extract and select the time domain and Haar wavelet transform characteristics of the curve firstly.Then the correlation between the degradation state and the fault state is established by using the clustering algorithm and the Pearson correlation coefficient.Finally,the convolutional neural network(CNN)and the gated recurrent unit(GRU)are used to establish the state prediction model of the turnout to realize the failure prediction.The CNN can directly extract features from the original data of the turnout and reduce the dimension,which simplifies the prediction process.Due to its unique gate structure and time series processing features,GRU has certain advantages over the traditional forecasting methods in terms of prediction accuracy and time.The experimental results show that the accuracy of prediction can reach 94.2%when the feature matrix adopts 40-dimensional input and iterates 50 times.
文摘Apparel exports China:The decline in exports widened from January to September(-2.4%,compared to-0.2%in January-June).Exports to the EU increased(+5.9%),though the growth rate moderated.Exports to the US saw a larger contraction(January-June:-1.6%,January-September:-8.2%).While exports to ASEAN countries still fell by over 10%(-17.7%),shipments to the Philippines(+6.9%),Indonesia(+19.0%),and Cambodia(+64.9%)demonstrated stronger growth performance within the year.Regarding tariffs,on October 30,China and the US agreed to lower the rates on goods subject to additional duties(effectively reducing the average tariff rate on Chinese imports to the US from about 57%to approximately 47%,though this remains significantly higher than the 19.5%overall average rate applied to other countries).
文摘As a public basic course and the core general course of undergraduate education,moral education(ME)in College English is imperative.It is necessary to design specific teaching programs flexibly and creatively on the basis of fully understanding the ideas,objectives and tasks,basic principles and implementation methods of ME.This paper tries integrating literature reading into unit topic teaching as a new approach to ME in College English.The specific pathways of integration include:expansion of literary reading content,diversified teaching of literary reading,diversified media of literary reading,and diversified assessment system of literary quality.The integration of literature reading and unit topic teaching is conducive to the realization of the teaching goal of cultivating students’language ability,humanistic quality,and correct values.
