Chemical exchange saturation transfer magnetic resonance imaging is an advanced imaging technique that enables the detection of compounds at low concentrations with high sensitivity and spatial resolution and has been...Chemical exchange saturation transfer magnetic resonance imaging is an advanced imaging technique that enables the detection of compounds at low concentrations with high sensitivity and spatial resolution and has been extensively studied for diagnosing malignancy and stroke.In recent years,the emerging exploration of chemical exchange saturation transfer magnetic resonance imaging for detecting pathological changes in neurodegenerative diseases has opened up new possibilities for early detection and repetitive scans without ionizing radiation.This review serves as an overview of chemical exchange saturation transfer magnetic resonance imaging with detailed information on contrast mechanisms and processing methods and summarizes recent developments in both clinical and preclinical studies of chemical exchange saturation transfer magnetic resonance imaging for Alzheimer’s disease,Parkinson’s disease,multiple sclerosis,and Huntington’s disease.A comprehensive literature search was conducted using databases such as PubMed and Google Scholar,focusing on peer-reviewed articles from the past 15 years relevant to clinical and preclinical applications.The findings suggest that chemical exchange saturation transfer magnetic resonance imaging has the potential to detect molecular changes and altered metabolism,which may aid in early diagnosis and assessment of the severity of neurodegenerative diseases.Although promising results have been observed in selected clinical and preclinical trials,further validations are needed to evaluate their clinical value.When combined with other imaging modalities and advanced analytical methods,chemical exchange saturation transfer magnetic resonance imaging shows potential as an in vivo biomarker,enhancing the understanding of neuropathological mechanisms in neurodegenerative diseases.展开更多
Segmentation of demonstration trajectories and learning the contained motion primitives can effectively enhance the assistive robot's intelligence to flexibly reproduce learnt tasks in an unstructured environment....Segmentation of demonstration trajectories and learning the contained motion primitives can effectively enhance the assistive robot's intelligence to flexibly reproduce learnt tasks in an unstructured environment.With the aim to conveniently and accurately segment demonstration trajectories,a novel demonstration trajectory segmentation approach is proposed based on the beta process autoregressive hidden Markov model(BP-ARHMM)algorithm and generalised time warping(GTW)algorithm aiming to enhance the segmentation accuracy utilising acquired demonstration data.This approach first adopts the GTW algorithm to align the multiple demonstration trajectories for the same task.Then,it adopts the BP-AR-HMM algorithm to segment the demonstration trajectories,acquire the contained motion primitives,and establish the related task library.This segmentation approach is validated on the 6-degree-of-freedom JACO robotic arm by assisting users to accomplish a holding water glass task and an eating task.The experimental results show that the motion primitives within the trajectories can be correctly segmented with a high segmentation accuracy.展开更多
Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has bec...Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.展开更多
Selecting the embryo with the highest implantation potential is a top priority in in-vitro fertilization(IVF)centers.Few studies have explored the relationship between day 5 blastocyst morphokinetics and implantation ...Selecting the embryo with the highest implantation potential is a top priority in in-vitro fertilization(IVF)centers.Few studies have explored the relationship between day 5 blastocyst morphokinetics and implantation outcomes[1].Despite numerous time-lapse studies,the findings often conflict due to differences in patient demographics,lab conditions,and protocols,such as oxygen concentration[2].Thus,there is ongoing debate regarding which parameters are most predictive of implantation.展开更多
Robots are increasingly expected to replace humans in many repetitive and high-precision tasks,of which surface scanning is a typical example.However,it is usually difficult for a robot to independently deal with a su...Robots are increasingly expected to replace humans in many repetitive and high-precision tasks,of which surface scanning is a typical example.However,it is usually difficult for a robot to independently deal with a surface scanning task with uncertainties in,for example the irregular surface shapes and surface properties.Moreover,it usually requires surface modelling with additional sensors,which might be time-consuming and costly.A human-robot collaboration-based approach that allows a human user and a robot to assist each other in scanning uncertain surfaces with uniform properties,such as scanning human skin in ultrasound examination is proposed.In this approach,teleoperation is used to obtain the operator's intent while allowing the operator to operate remotely.After external force perception and friction estimation,the orientation of the robot endeffector can be autonomously adjusted to keep as perpendicular to the surface as possible.Force control enables the robotic manipulator to maintain a constant contact force with the surface.And hybrid force/motion control ensures that force,position,and pose can be regulated without interfering with each other while reducing the operator's workload.The proposed method is validated using the Elite robot to perform a mock Bultrasound scanning experiment.展开更多
Obstructive sleep apnea(OSA)and coronary artery disease(CAD)frequently coexist,forming a bidirectional pathophysiological loop that amplifies cardiovascular risk.Intermittent hypoxemia in OSA patients promotes endothe...Obstructive sleep apnea(OSA)and coronary artery disease(CAD)frequently coexist,forming a bidirectional pathophysiological loop that amplifies cardiovascular risk.Intermittent hypoxemia in OSA patients promotes endothelial dysfunction,systemic inflammation,oxidative stress,and sympathetic activation,thereby accelerating atherogenesis,whereas myocardial ischemia and ventricular dysfunction in CAD patients can further destabilize upper-airway patency and exacerbate OSA.Continuous positive airway pressure(CPAP)is the standard therapy for OSA and reliably restores sleep architecture;however,large randomized trials have reported inconsistent effects on major adverse cardiovascular events,particularly in patients with established CAD.This mini review synthesizes contemporary data on CPAP across diverse OSA–CAD clinical scenarios,delineates patient phenotypes most likely to achieve cardiovascular benefit and identifies contexts in which CPAP provides limited protection.On the basis of these findings,we propose pragmatic recommendations for patient selection,adherence monitoring and optimization of CPAP therapy and highlight key research priorities,including extended follow-up,adherence-enhancing strategies and multimodal interventions.Clarifying the circumstances under which CPAP is cardioprotective will enable more precise management of patients with OSA,with or without concomitant CAD.展开更多
In-hand manipulation is a fundamental ability for multi-fingered robotic hands that interact with their environments.Owing to the high dimensionality of robotic hands and intermittent contact dynamics,effectively prog...In-hand manipulation is a fundamental ability for multi-fingered robotic hands that interact with their environments.Owing to the high dimensionality of robotic hands and intermittent contact dynamics,effectively programming a robotic hand for in-hand manipulations is still a challenging problem.To address this challenge,this work employs deep reinforcement learning(DRL)algorithm to learn in-hand manipulations for multi-fingered robotic hands.A reward-shaping method is proposed to assist the learning of in-hand manipulation.The synergy of robotic hand postures is analysed to build a low-dimensional hand posture space.Two additional rewards are designed based on both the analysis of hand synergies and its learning history.The two additional rewards cooperating with an extrinsic reward are used to assist the in-hand manipulation learning.Three value functions are trained jointly with respect to their reward functions.Then they cooperate to optimise a control policy for in-hand manipulation.The reward shaping not only improves the exploration efficiency of the DRL algorithm but also provides a way to incorporate domain knowledge.The performance of the proposed learning method is evaluated with object rotation tasks.Experimental results demonstrated that the proposed learning method enables multi-fingered robotic hands to learn in-hand manipulation effectively.展开更多
Surgical sperm retrieval(SSR)is currently one of the most common procedures in in vitro fertilization(IVF).However,a gap between the guidelines and routine clinical practice regarding antibiotic use in sSR,which might...Surgical sperm retrieval(SSR)is currently one of the most common procedures in in vitro fertilization(IVF).However,a gap between the guidelines and routine clinical practice regarding antibiotic use in sSR,which might lead to antibiotic resistance,is a challenging problem worldwide.A cross-sectional survey was conducted from May 1,2021,to July 15,2021,to investigate antibiotic usage by medical professionals when performing SSR in IVF centers in Vietnam.The confidential questionnaire comprised 12 items,including characteristics of the study population,awareness of antimicrobial resistance,attitude toward prescribing antibiotics,and current practice of prescribing antibiotics when performing SSR.Surveys were completed by 30 of 45 registered IVF centers(66.7%).Among 67 physicians working at those centers,the age and work-experience years(mean±standard deviation[s.d.])were 38.6±6.6 years and 11.2±7.0 years,respectively.Over 60%of them held a degree in Obstetrics and Gynecology,and over four-fifths were men.Most respondents"often/very often/always"raised awareness of antimicrobial resistance to their patients(83.3%),but only half of them"often/occasionally"prescribed antibiotics to patients with SSR in cases where the prescription would be optional.About one-tenth of respondents followed the recommendation from the American Urological Association using"prophylaxis only"for SSR patients.For more invasive SSR,physicians tended to prescribe more complicated and sometimes inappropriate regimens.In conclusion,antibiotic usage in SSR was not always appropriate among IVF centers.Further studies may define specific recommendations for regimens,intervention strategies,and programs to promote appropriate antibiotic use for SSR patients among IVF specialists.展开更多
Currently X-ray images are clinically graded by experienced clinicians using the Kellgren and Lawrence(KL)scoring method.However,individual scoring is subjective and error prone.This study proposes an approach for aut...Currently X-ray images are clinically graded by experienced clinicians using the Kellgren and Lawrence(KL)scoring method.However,individual scoring is subjective and error prone.This study proposes an approach for automated knee osteoarthritis classification based on deep neural networks.The knee X-ray images are first preprocessed with frequency-domain filtering and histogram normalisation,making the trabecular bone texture more obvious and benefiting the subsequent classification task.Then,a two-step classification strategy is proposed by extracting the joint centre based on the VGG network and classifying osteoarthritis grades based on the ResNet-50 network.In addition,a rebalance operation is proposed to deal with the dataset unbalance problem,and a quick search technique is proposed to improve the iterative search efficiency for the joint centre.With all of these techniques,a classification accuracy of 81.41%is obtained,which is higher compared to the state-of-the-art approaches.展开更多
Objective:To determine the relationship between the early embryo viability assessment(EEVA)and blastocyst morphological parameters and pregnancy outcomes.Methods:This retrospective cohort study was conducted on 291 in...Objective:To determine the relationship between the early embryo viability assessment(EEVA)and blastocyst morphological parameters and pregnancy outcomes.Methods:This retrospective cohort study was conducted on 291 intracytoplasmic sperm injection cycles including 2522 embryos with indications of prolonging embryo culture to the blastocyst stage in the Genea embryo review incubator,and 511 single vitrified-warmed blastocyst transfer cycles from January 2020 to June 2023.The EEVA system produced an EEVA score from E1(best)to E5(worse)for the potential of blastocyst formation.Blastocyst morphology was evaluated.The association between the EEVA score and each type of blastocyst morphology,implantation rate,clinical pregnancy,and ongoing pregnancy were assessed using generalized estimating equations.Results:The inner cell mass A(ICM A),trophectoderm A(TE A),blastocoele expansion degree of 3,4,5,6,7 rates were higher with lower the EEVA score.The adjusted odd ratio(aOR)(E5 vs E1)was 0.3 for ICM A,0.174 for TE A and 0.210 for BL3,4,5,6,7(all P<0.001),suggesting a significant association between lower EEVA scores and improved embryo quality.The implantation,clinical pregnancy,and ongoing pregnancy rate were also higher with lower the EEVA score.The aOR of E5 vs E1 was 0.245 for implantation,0.185 for clinical pregnancy and 0.200 for ongoing pregnancy rate(P<0.001).Conclusions:There were associations between blastocyst morphology,pregnancy outcome and EEVA scores.The good blastocyst morphology and pregnancy outcomes are higher with lower the EEVA score.展开更多
Infection of Escherichia coli in piglets is identified as one of major problems in pig husbandry.Data were collected from different experiments conducted at farm levels and results showed that the percentage of piglet...Infection of Escherichia coli in piglets is identified as one of major problems in pig husbandry.Data were collected from different experiments conducted at farm levels and results showed that the percentage of piglets infected with E.coli was very high.E.coli infected healthy piglets were up to 48.9%and E.coli infected diarrhea piglets accounted for 88.3%.Using Betel Bokashi and antibiotics in treatment brings about different results.Out of 48 infected piglets,15 piglets were selected for three groups treatment with five each group.Results showed that 92.3%diarrhea piglets treated with Betel Bokashi recovered in 3.85 d,while 100%and 88.23%treated with antibiotics were cured in 4 d and 4.01 d,respectively.Post-treatment piglets in group 3 grew up faster than group 1 and group 2,with gains 231,218 and 212 g,respectively.展开更多
A Mobile Ad-hoc NETwork(MANET)contains numerous mobile nodes,and it forms a structure-less network associated with wireless links.But,the node movement is the key feature of MANETs;hence,the quick action of the nodes ...A Mobile Ad-hoc NETwork(MANET)contains numerous mobile nodes,and it forms a structure-less network associated with wireless links.But,the node movement is the key feature of MANETs;hence,the quick action of the nodes guides a link failure.This link failure creates more data packet drops that can cause a long time delay.As a result,measuring accurate link failure time is the key factor in the MANET.This paper presents a Fuzzy Linear Regression Method to measure Link Failure(FLRLF)and provide an optimal route in the MANET-Internet of Things(IoT).This work aims to predict link failure and improve routing efficiency in MANET.The Fuzzy Linear Regression Method(FLRM)measures the long lifespan link based on the link failure.The mobile node group is built by the Received Signal Strength(RSS).The Hill Climbing(HC)method selects the Group Leader(GL)based on node mobility,node degree and node energy.Additionally,it uses a Data Gathering node forward the infor-mation from GL to the sink node through multiple GL.The GL is identified by linking lifespan and energy using the Particle Swarm Optimization(PSO)algo-rithm.The simulation results demonstrate that the FLRLF approach increases the GL lifespan and minimizes the link failure time in the MANET.展开更多
AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational stu...AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational study included patients with OGIs treated between June 2023 and June 2024.Data on demographics,injury features,and clinical findings were extracted from medical records.Poor visual outcome was defined as final best-corrected visual acuity(BCVA)worse than 20/400 or no light perception.Multivariable logistic regression was performed to identify independent risk factors.RESULTS:Among 509 patients(636 eyes),the mean age was 35.13y(range 20–51y),and 67.6%were male.After treatment,the proportion of eyes achieving≥20/40 increased from 12.6%to 42.1%,while no light perception decreased from 29.1%to 9.4%.Independent predictors of poor visual outcomes included delayed admission[>4h,odds ratio(OR)=3.33,95%confidence intervals(CI):1.76–6.33,P<0.001],Zone III injury(OR=5.90,95%CI:2.85–12.24,P<0.001),wound length>10 mm(OR=2.59,95%CI:1.60–4.18,P<0.001),relative afferent pupillary defect(RAPD,OR=1.65,95%CI:1.03–2.64,P=0.039),endophthalmitis(OR=1.75,95%CI:1.01–3.03,P=0.047),retinal detachment(OR=3.32,95%CI:2.02–5.45,P<0.001),and eyelid lacerations(OR=1.94,95%CI:1.13–3.33,P=0.016)associated with OGIs.Vitreous hemorrhage(OR=0.44,95%CI:0.22–0.89,P=0.023)was associated with better outcomes,and female gender appeared protective.CONCLUSION:Poor visual outcomes remain common after OGIs,despite improve visual acuity in many cases.Several clinical and injury-related factors are strongly associated with prognosis.Early recognition of these predictors can support risk stratification and improve trauma care in similar settings.展开更多
Cross-modal integration processes are essential for service robots to reliably perceive relevant parts of the partially known unstructured environment, We demonstrate how multimodal integration on different abstractio...Cross-modal integration processes are essential for service robots to reliably perceive relevant parts of the partially known unstructured environment, We demonstrate how multimodal integration on different abstraction levels leads to reasonable behavior that would be difficult to achieve with unimodal approaches. Sensing and acting modalities are composed to multimodal robot skills via a fuzzy multisensor fusion approach. Single modalities constitute basic robot skills that can dynamically be composed to appropriate behavior by symbolic planning. Furthermore, multimodal integration is exploited to answer relevant queries about the partially known environment. All these approaches are successfully implemented and tested on our mobile service robot platform TASER,展开更多
The measurement of the optical transmission matrix(TM)of an opaque material is an advanced form of space-variant aberration correction.Beyond imaging,TM-based methods are emerging in a range of fields,including optica...The measurement of the optical transmission matrix(TM)of an opaque material is an advanced form of space-variant aberration correction.Beyond imaging,TM-based methods are emerging in a range of fields,including optical communications,micro-manipulation,and computing.In many cases,the TM is very sensitive to perturbations in the configuration of the scattering medium it represents.Therefore,applications often require an up-to-the-minute characterisation of the fragile TM,typically entailing hundreds to thousands of probe measurements.Here,we explore how these measurement requirements can be relaxed using the framework of compressive sensing,in which the incorporation of prior information enables accurate estimation from fewer measurements than the dimensionality of the TM we aim to reconstruct.Examples of such priors include knowledge of a memory effect linking the input and output fields,an approximate model of the optical system,or a recent but degraded TM measurement.We demonstrate this concept by reconstructing the full-size TM of a multimode fibre supporting 754 modes at compression ratios down to∼5%with good fidelity.We show that in this case,imaging is still possible using TMs reconstructed at compression ratios down to∼1%(eight probe measurements).This compressive TM sampling strategy is quite general and may be applied to a variety of other scattering samples,including diffusers,thin layers of tissue,fibre optics of any refractive profile,and reflections from opaque walls.These approaches offer a route towards the measurement of high-dimensional TMs either quickly or with access to limited numbers of measurements.展开更多
Background:Resting heart rate(RHR)is considered as a strong predictor of total mortality and hospitalization due to heart failure in hypertension patients.Bisoprolol fumarate,a second-generation beta-adrenoreceptor bl...Background:Resting heart rate(RHR)is considered as a strong predictor of total mortality and hospitalization due to heart failure in hypertension patients.Bisoprolol fumarate,a second-generation beta-adrenoreceptor blockers(β-blocker)is commonly prescribed drug to manage hypertension.The present study was to retrospectively evaluate changes in the average RHR and its association with cardiovascular outcomes in bisoprolol-treated coronary artery disease(CAD)patients from the CAD treated with bisoprolol(BISO-CAD)study who had comorbid hypertension.Methods::We performed ad-hoc analysis for hypertension sub-group of the BISO-CAD study(n=866),which was a phase IV,multination,multi-center,single-arm,observational study carried out from October 2011 to July 2015 across China,South Korea,and Vietnam.Multivariate regression analysis was used to identify factors associated with incidence of composite cardiac clinical outcome(CCCO),the results were presented as adjusted odds ratio(OR)along with 95%confidence interval(CI)and adjusted P value.Results::A total of 681 patients(mean age:64.77±10.33 years)with hypertension from BISO-CAD study were included in the analysis.Bisoprolol improved CCCOs in CAD patients with comorbid hypertension,with RHR<65 and<70 beats/min compared with RHR≥65 and≥75 beats/min,respectively,in the efficacy analysis(EA)set.In addition,it lowered RHR in both intent-to-treat(ITT)and EA groups after 6,12,and 18 months of treatment.Further,RHR 70 to 74 beats/min resulted in significantly higher risk of CCCOs EA set of patients(adjusted OR:4.34;95%CI:1.19-15.89;P=0.03).Also,events of hospitalization due to acute coronary syndrome were higher when RHR 69 to 74 beats/min compared to RHR<69 beats/min in ITT patients.Conclusion::Bisoprolol can effectively reduce RHR in Asian CAD patients with comorbid hypertension and hence,improve CCCO without affecting their blood pressure.展开更多
This article deals with boundary layer analysis of magnetohydrodynamics on an unsteady chemically reactive micropolar rotating fluid flow past a semi-infinite vertical plate with been developed under Boussinesq approx...This article deals with boundary layer analysis of magnetohydrodynamics on an unsteady chemically reactive micropolar rotating fluid flow past a semi-infinite vertical plate with been developed under Boussinesq approximation.The governing partial differential equations are transformed into a set of coupled partial differential equations using suitable dimensionless quantities.The resultant equations are solved numerically using variational finite element method.A parametric study illustrating the influence of different pertinent parameters is performed and the numerical results for translational velocity,microrotation velocity,temperature and concentration distributions near the boundary layers are discussed and presented graphically for the parametric variations.Finally,the skin-friction,wall couple stress,surface heat transfer and mass transfer rate dependency on the emerging thermo-physical parameters are also tabulated.The finite element code is benchmarked with the results reported in the literature to check the validity and accuracy under some limiting cases and excellent agreement with published solutions is achieved.展开更多
By using the daily-14 year(1983—1996)NCEP/NCAR 2.5°×2.5° reanalysis data,we carefully study in each pentad the advance and retreat of the summer monsoon in China and given to it a new definition.This d...By using the daily-14 year(1983—1996)NCEP/NCAR 2.5°×2.5° reanalysis data,we carefully study in each pentad the advance and retreat of the summer monsoon in China and given to it a new definition.This definition considered the intensity of southwesterly winds at 850 hPa together with its degree in temperature and moisture.The result revealed that: (1)The advance of the summer monsoon in China shows three abrupt northward shifts and four relatively stationary stays.The four stable stages correspond to the peak of the pro-summer rainy period in South China,the“Meiyu”season in the Changjiang(Yangtze)-Huaihe River Valleys.the rainy season in the downstream of the Huanghe(Yellow)Riyer Valleys and the rainy season in northern China.The retreat of the summer monsoon is so fast that it totally retreats from the mainland at about the mid-August. (2)The northward advance of summer monsoon in China is basically controlled by the seasonal variation latitudinally of the upper level planetary westerlies.It is in roughly accord with the temporal variation in the position of 15 m s^(-1) isotaeh at 200 hPa.The fast retreat of the summer monsoon is mainly due to the blocking effect of the Tibetan Plateau. (3)The advance of 500 hPa subtropical high of the western Pacific is also in aecordanee with the advance of the summer monsoon in China.During the advancement of the summer monsoon, the eastward movement of the subtropical high shows great meaning that it creates the essential condition for the convergence of southward intrusion cold airs with the warm and humid southwesterly winds,which result in precipitation.There are three manifest eastward movements of the subtropical high during its northward advancement.They coincide correspondingly to the beginning of the peak of the pre-summer rainy period in South China,the“Meiyu”season in the Changjiang(Yangtze)-Huaihe River Valleys and finally the rainy season in northern China.The western part of the subtropical high moves eastward to the region of Japan in late July and the beginning of August.It then stays there for quite a long time which results in the straight movement of cold airs intruding from the north to the east of Tibetan Plateau,i.e.the eastern region of China.This provides good condition for the fast southward retreat of the summer monsoon. (4)The intensifieation and development of the Tibetan high at 200 hPa are closely related to the eastward movement of the subtropical high,they often occur simultaneously.展开更多
基金supported by The University of Hong Kong,China(109000487,109001694,204610401,and 204610519)National Natural Science Foundation of China(82402225)(to JH).
文摘Chemical exchange saturation transfer magnetic resonance imaging is an advanced imaging technique that enables the detection of compounds at low concentrations with high sensitivity and spatial resolution and has been extensively studied for diagnosing malignancy and stroke.In recent years,the emerging exploration of chemical exchange saturation transfer magnetic resonance imaging for detecting pathological changes in neurodegenerative diseases has opened up new possibilities for early detection and repetitive scans without ionizing radiation.This review serves as an overview of chemical exchange saturation transfer magnetic resonance imaging with detailed information on contrast mechanisms and processing methods and summarizes recent developments in both clinical and preclinical studies of chemical exchange saturation transfer magnetic resonance imaging for Alzheimer’s disease,Parkinson’s disease,multiple sclerosis,and Huntington’s disease.A comprehensive literature search was conducted using databases such as PubMed and Google Scholar,focusing on peer-reviewed articles from the past 15 years relevant to clinical and preclinical applications.The findings suggest that chemical exchange saturation transfer magnetic resonance imaging has the potential to detect molecular changes and altered metabolism,which may aid in early diagnosis and assessment of the severity of neurodegenerative diseases.Although promising results have been observed in selected clinical and preclinical trials,further validations are needed to evaluate their clinical value.When combined with other imaging modalities and advanced analytical methods,chemical exchange saturation transfer magnetic resonance imaging shows potential as an in vivo biomarker,enhancing the understanding of neuropathological mechanisms in neurodegenerative diseases.
基金Doctoral Research Start-up Fund of Shandong Jiaotong University,Grant/Award Number:BS2024009Natural Science Foundation of Shandong Province of China,Grant/Award Number:ZR2022ME087+1 种基金State Key Laboratory of Robotics and Systems(HIT),Grant/Award Number:SKLRS-2024-KF-09Open Access Publication Fund of Universität Hamburg。
文摘Segmentation of demonstration trajectories and learning the contained motion primitives can effectively enhance the assistive robot's intelligence to flexibly reproduce learnt tasks in an unstructured environment.With the aim to conveniently and accurately segment demonstration trajectories,a novel demonstration trajectory segmentation approach is proposed based on the beta process autoregressive hidden Markov model(BP-ARHMM)algorithm and generalised time warping(GTW)algorithm aiming to enhance the segmentation accuracy utilising acquired demonstration data.This approach first adopts the GTW algorithm to align the multiple demonstration trajectories for the same task.Then,it adopts the BP-AR-HMM algorithm to segment the demonstration trajectories,acquire the contained motion primitives,and establish the related task library.This segmentation approach is validated on the 6-degree-of-freedom JACO robotic arm by assisting users to accomplish a holding water glass task and an eating task.The experimental results show that the motion primitives within the trajectories can be correctly segmented with a high segmentation accuracy.
基金National Key R&D Program of China,Grant/Award Numbers:2018YFE0203900,2020YFB1313600German Research Foundation,Hamburg Landesforschungsförderungsprojekt Cross,Grant/Award Number:Sonderforschungsbereich Transregio 169+2 种基金Shanghai Artificial Intelligence Innovation Development Special Support Project,Grant/Award Number:3920365001Horizon2020 RISE project STEP2DYNA,Grant/Award Number:691154National Natural Science Foundation of China,Grant/Award Numbers:61773083,62206168,62276048,U1813202。
文摘Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.
文摘Selecting the embryo with the highest implantation potential is a top priority in in-vitro fertilization(IVF)centers.Few studies have explored the relationship between day 5 blastocyst morphokinetics and implantation outcomes[1].Despite numerous time-lapse studies,the findings often conflict due to differences in patient demographics,lab conditions,and protocols,such as oxygen concentration[2].Thus,there is ongoing debate regarding which parameters are most predictive of implantation.
基金Engineering and Physical Sciences Research Council(EPSRC),Grant/Award Number:EP/S001913。
文摘Robots are increasingly expected to replace humans in many repetitive and high-precision tasks,of which surface scanning is a typical example.However,it is usually difficult for a robot to independently deal with a surface scanning task with uncertainties in,for example the irregular surface shapes and surface properties.Moreover,it usually requires surface modelling with additional sensors,which might be time-consuming and costly.A human-robot collaboration-based approach that allows a human user and a robot to assist each other in scanning uncertain surfaces with uniform properties,such as scanning human skin in ultrasound examination is proposed.In this approach,teleoperation is used to obtain the operator's intent while allowing the operator to operate remotely.After external force perception and friction estimation,the orientation of the robot endeffector can be autonomously adjusted to keep as perpendicular to the surface as possible.Force control enables the robotic manipulator to maintain a constant contact force with the surface.And hybrid force/motion control ensures that force,position,and pose can be regulated without interfering with each other while reducing the operator's workload.The proposed method is validated using the Elite robot to perform a mock Bultrasound scanning experiment.
文摘Obstructive sleep apnea(OSA)and coronary artery disease(CAD)frequently coexist,forming a bidirectional pathophysiological loop that amplifies cardiovascular risk.Intermittent hypoxemia in OSA patients promotes endothelial dysfunction,systemic inflammation,oxidative stress,and sympathetic activation,thereby accelerating atherogenesis,whereas myocardial ischemia and ventricular dysfunction in CAD patients can further destabilize upper-airway patency and exacerbate OSA.Continuous positive airway pressure(CPAP)is the standard therapy for OSA and reliably restores sleep architecture;however,large randomized trials have reported inconsistent effects on major adverse cardiovascular events,particularly in patients with established CAD.This mini review synthesizes contemporary data on CPAP across diverse OSA–CAD clinical scenarios,delineates patient phenotypes most likely to achieve cardiovascular benefit and identifies contexts in which CPAP provides limited protection.On the basis of these findings,we propose pragmatic recommendations for patient selection,adherence monitoring and optimization of CPAP therapy and highlight key research priorities,including extended follow-up,adherence-enhancing strategies and multimodal interventions.Clarifying the circumstances under which CPAP is cardioprotective will enable more precise management of patients with OSA,with or without concomitant CAD.
基金This work was funded by the German Science Foundation(DFG)and the National Science Foundation of China(NSFC)in project Crossmodal Learning under contract Sonderforschungsbereich Transregio 169.
文摘In-hand manipulation is a fundamental ability for multi-fingered robotic hands that interact with their environments.Owing to the high dimensionality of robotic hands and intermittent contact dynamics,effectively programming a robotic hand for in-hand manipulations is still a challenging problem.To address this challenge,this work employs deep reinforcement learning(DRL)algorithm to learn in-hand manipulations for multi-fingered robotic hands.A reward-shaping method is proposed to assist the learning of in-hand manipulation.The synergy of robotic hand postures is analysed to build a low-dimensional hand posture space.Two additional rewards are designed based on both the analysis of hand synergies and its learning history.The two additional rewards cooperating with an extrinsic reward are used to assist the in-hand manipulation learning.Three value functions are trained jointly with respect to their reward functions.Then they cooperate to optimise a control policy for in-hand manipulation.The reward shaping not only improves the exploration efficiency of the DRL algorithm but also provides a way to incorporate domain knowledge.The performance of the proposed learning method is evaluated with object rotation tasks.Experimental results demonstrated that the proposed learning method enables multi-fingered robotic hands to learn in-hand manipulation effectively.
文摘Surgical sperm retrieval(SSR)is currently one of the most common procedures in in vitro fertilization(IVF).However,a gap between the guidelines and routine clinical practice regarding antibiotic use in sSR,which might lead to antibiotic resistance,is a challenging problem worldwide.A cross-sectional survey was conducted from May 1,2021,to July 15,2021,to investigate antibiotic usage by medical professionals when performing SSR in IVF centers in Vietnam.The confidential questionnaire comprised 12 items,including characteristics of the study population,awareness of antimicrobial resistance,attitude toward prescribing antibiotics,and current practice of prescribing antibiotics when performing SSR.Surveys were completed by 30 of 45 registered IVF centers(66.7%).Among 67 physicians working at those centers,the age and work-experience years(mean±standard deviation[s.d.])were 38.6±6.6 years and 11.2±7.0 years,respectively.Over 60%of them held a degree in Obstetrics and Gynecology,and over four-fifths were men.Most respondents"often/very often/always"raised awareness of antimicrobial resistance to their patients(83.3%),but only half of them"often/occasionally"prescribed antibiotics to patients with SSR in cases where the prescription would be optional.About one-tenth of respondents followed the recommendation from the American Urological Association using"prophylaxis only"for SSR patients.For more invasive SSR,physicians tended to prescribe more complicated and sometimes inappropriate regimens.In conclusion,antibiotic usage in SSR was not always appropriate among IVF centers.Further studies may define specific recommendations for regimens,intervention strategies,and programs to promote appropriate antibiotic use for SSR patients among IVF specialists.
基金supported by the National Natural Science Foundation of China(No.U1713218,No.12026604,and No.62003330)the Shenzhen Science and Technology Program(No.JCYJ20180507182215361,No.JCYJ20200109114233670,and No.JCYJ20200109112818703)supported by the Guangdong Provincial Key Laboratory of Robotics and Intelligent System,Shenzhen Institutes of Advanced Technology.
文摘Currently X-ray images are clinically graded by experienced clinicians using the Kellgren and Lawrence(KL)scoring method.However,individual scoring is subjective and error prone.This study proposes an approach for automated knee osteoarthritis classification based on deep neural networks.The knee X-ray images are first preprocessed with frequency-domain filtering and histogram normalisation,making the trabecular bone texture more obvious and benefiting the subsequent classification task.Then,a two-step classification strategy is proposed by extracting the joint centre based on the VGG network and classifying osteoarthritis grades based on the ResNet-50 network.In addition,a rebalance operation is proposed to deal with the dataset unbalance problem,and a quick search technique is proposed to improve the iterative search efficiency for the joint centre.With all of these techniques,a classification accuracy of 81.41%is obtained,which is higher compared to the state-of-the-art approaches.
文摘Objective:To determine the relationship between the early embryo viability assessment(EEVA)and blastocyst morphological parameters and pregnancy outcomes.Methods:This retrospective cohort study was conducted on 291 intracytoplasmic sperm injection cycles including 2522 embryos with indications of prolonging embryo culture to the blastocyst stage in the Genea embryo review incubator,and 511 single vitrified-warmed blastocyst transfer cycles from January 2020 to June 2023.The EEVA system produced an EEVA score from E1(best)to E5(worse)for the potential of blastocyst formation.Blastocyst morphology was evaluated.The association between the EEVA score and each type of blastocyst morphology,implantation rate,clinical pregnancy,and ongoing pregnancy were assessed using generalized estimating equations.Results:The inner cell mass A(ICM A),trophectoderm A(TE A),blastocoele expansion degree of 3,4,5,6,7 rates were higher with lower the EEVA score.The adjusted odd ratio(aOR)(E5 vs E1)was 0.3 for ICM A,0.174 for TE A and 0.210 for BL3,4,5,6,7(all P<0.001),suggesting a significant association between lower EEVA scores and improved embryo quality.The implantation,clinical pregnancy,and ongoing pregnancy rate were also higher with lower the EEVA score.The aOR of E5 vs E1 was 0.245 for implantation,0.185 for clinical pregnancy and 0.200 for ongoing pregnancy rate(P<0.001).Conclusions:There were associations between blastocyst morphology,pregnancy outcome and EEVA scores.The good blastocyst morphology and pregnancy outcomes are higher with lower the EEVA score.
文摘Infection of Escherichia coli in piglets is identified as one of major problems in pig husbandry.Data were collected from different experiments conducted at farm levels and results showed that the percentage of piglets infected with E.coli was very high.E.coli infected healthy piglets were up to 48.9%and E.coli infected diarrhea piglets accounted for 88.3%.Using Betel Bokashi and antibiotics in treatment brings about different results.Out of 48 infected piglets,15 piglets were selected for three groups treatment with five each group.Results showed that 92.3%diarrhea piglets treated with Betel Bokashi recovered in 3.85 d,while 100%and 88.23%treated with antibiotics were cured in 4 d and 4.01 d,respectively.Post-treatment piglets in group 3 grew up faster than group 1 and group 2,with gains 231,218 and 212 g,respectively.
文摘A Mobile Ad-hoc NETwork(MANET)contains numerous mobile nodes,and it forms a structure-less network associated with wireless links.But,the node movement is the key feature of MANETs;hence,the quick action of the nodes guides a link failure.This link failure creates more data packet drops that can cause a long time delay.As a result,measuring accurate link failure time is the key factor in the MANET.This paper presents a Fuzzy Linear Regression Method to measure Link Failure(FLRLF)and provide an optimal route in the MANET-Internet of Things(IoT).This work aims to predict link failure and improve routing efficiency in MANET.The Fuzzy Linear Regression Method(FLRM)measures the long lifespan link based on the link failure.The mobile node group is built by the Received Signal Strength(RSS).The Hill Climbing(HC)method selects the Group Leader(GL)based on node mobility,node degree and node energy.Additionally,it uses a Data Gathering node forward the infor-mation from GL to the sink node through multiple GL.The GL is identified by linking lifespan and energy using the Particle Swarm Optimization(PSO)algo-rithm.The simulation results demonstrate that the FLRLF approach increases the GL lifespan and minimizes the link failure time in the MANET.
文摘AIM:To evaluate the clinical characteristics and risk factors associated with visual prognosis in patients with open globe injuries(OGIs)treated at Vietnam National Eye Hospital.METHODS:A prospective observational study included patients with OGIs treated between June 2023 and June 2024.Data on demographics,injury features,and clinical findings were extracted from medical records.Poor visual outcome was defined as final best-corrected visual acuity(BCVA)worse than 20/400 or no light perception.Multivariable logistic regression was performed to identify independent risk factors.RESULTS:Among 509 patients(636 eyes),the mean age was 35.13y(range 20–51y),and 67.6%were male.After treatment,the proportion of eyes achieving≥20/40 increased from 12.6%to 42.1%,while no light perception decreased from 29.1%to 9.4%.Independent predictors of poor visual outcomes included delayed admission[>4h,odds ratio(OR)=3.33,95%confidence intervals(CI):1.76–6.33,P<0.001],Zone III injury(OR=5.90,95%CI:2.85–12.24,P<0.001),wound length>10 mm(OR=2.59,95%CI:1.60–4.18,P<0.001),relative afferent pupillary defect(RAPD,OR=1.65,95%CI:1.03–2.64,P=0.039),endophthalmitis(OR=1.75,95%CI:1.01–3.03,P=0.047),retinal detachment(OR=3.32,95%CI:2.02–5.45,P<0.001),and eyelid lacerations(OR=1.94,95%CI:1.13–3.33,P=0.016)associated with OGIs.Vitreous hemorrhage(OR=0.44,95%CI:0.22–0.89,P=0.023)was associated with better outcomes,and female gender appeared protective.CONCLUSION:Poor visual outcomes remain common after OGIs,despite improve visual acuity in many cases.Several clinical and injury-related factors are strongly associated with prognosis.Early recognition of these predictors can support risk stratification and improve trauma care in similar settings.
基金Supported by the German Research Foundation(No. GRK 1247/1)
文摘Cross-modal integration processes are essential for service robots to reliably perceive relevant parts of the partially known unstructured environment, We demonstrate how multimodal integration on different abstraction levels leads to reasonable behavior that would be difficult to achieve with unimodal approaches. Sensing and acting modalities are composed to multimodal robot skills via a fuzzy multisensor fusion approach. Single modalities constitute basic robot skills that can dynamically be composed to appropriate behavior by symbolic planning. Furthermore, multimodal integration is exploited to answer relevant queries about the partially known environment. All these approaches are successfully implemented and tested on our mobile service robot platform TASER,
基金S.L.acknowledges support from the National Natural Science Foundation of China under Grant no.61705073C.S.,J.M.B.and V.K.G.acknowledge support from the United States National Science Foundation under Grant no.1815896+2 种基金T.C.thanks the European Regional Development Fund(CZ.02.1.01/0.0/0.0/15_003/0000476)the European Research Council(724530)for financial supportD.B.P.thanks the Royal Academy of Engineering and the European Research Council(804626)for financial support.
文摘The measurement of the optical transmission matrix(TM)of an opaque material is an advanced form of space-variant aberration correction.Beyond imaging,TM-based methods are emerging in a range of fields,including optical communications,micro-manipulation,and computing.In many cases,the TM is very sensitive to perturbations in the configuration of the scattering medium it represents.Therefore,applications often require an up-to-the-minute characterisation of the fragile TM,typically entailing hundreds to thousands of probe measurements.Here,we explore how these measurement requirements can be relaxed using the framework of compressive sensing,in which the incorporation of prior information enables accurate estimation from fewer measurements than the dimensionality of the TM we aim to reconstruct.Examples of such priors include knowledge of a memory effect linking the input and output fields,an approximate model of the optical system,or a recent but degraded TM measurement.We demonstrate this concept by reconstructing the full-size TM of a multimode fibre supporting 754 modes at compression ratios down to∼5%with good fidelity.We show that in this case,imaging is still possible using TMs reconstructed at compression ratios down to∼1%(eight probe measurements).This compressive TM sampling strategy is quite general and may be applied to a variety of other scattering samples,including diffusers,thin layers of tissue,fibre optics of any refractive profile,and reflections from opaque walls.These approaches offer a route towards the measurement of high-dimensional TMs either quickly or with access to limited numbers of measurements.
基金This study was funded by Merck Serono Co.,Ltd,an affiliate of Merck KGaA,Darmstadt,Germany.
文摘Background:Resting heart rate(RHR)is considered as a strong predictor of total mortality and hospitalization due to heart failure in hypertension patients.Bisoprolol fumarate,a second-generation beta-adrenoreceptor blockers(β-blocker)is commonly prescribed drug to manage hypertension.The present study was to retrospectively evaluate changes in the average RHR and its association with cardiovascular outcomes in bisoprolol-treated coronary artery disease(CAD)patients from the CAD treated with bisoprolol(BISO-CAD)study who had comorbid hypertension.Methods::We performed ad-hoc analysis for hypertension sub-group of the BISO-CAD study(n=866),which was a phase IV,multination,multi-center,single-arm,observational study carried out from October 2011 to July 2015 across China,South Korea,and Vietnam.Multivariate regression analysis was used to identify factors associated with incidence of composite cardiac clinical outcome(CCCO),the results were presented as adjusted odds ratio(OR)along with 95%confidence interval(CI)and adjusted P value.Results::A total of 681 patients(mean age:64.77±10.33 years)with hypertension from BISO-CAD study were included in the analysis.Bisoprolol improved CCCOs in CAD patients with comorbid hypertension,with RHR<65 and<70 beats/min compared with RHR≥65 and≥75 beats/min,respectively,in the efficacy analysis(EA)set.In addition,it lowered RHR in both intent-to-treat(ITT)and EA groups after 6,12,and 18 months of treatment.Further,RHR 70 to 74 beats/min resulted in significantly higher risk of CCCOs EA set of patients(adjusted OR:4.34;95%CI:1.19-15.89;P=0.03).Also,events of hospitalization due to acute coronary syndrome were higher when RHR 69 to 74 beats/min compared to RHR<69 beats/min in ITT patients.Conclusion::Bisoprolol can effectively reduce RHR in Asian CAD patients with comorbid hypertension and hence,improve CCCO without affecting their blood pressure.
基金The authors are thankful to the University Grants Commission,New Delhi,India for providing financial assistance to carry out this research work under UGC-Major Research Project[F.No.42-22/2013(SR)].
文摘This article deals with boundary layer analysis of magnetohydrodynamics on an unsteady chemically reactive micropolar rotating fluid flow past a semi-infinite vertical plate with been developed under Boussinesq approximation.The governing partial differential equations are transformed into a set of coupled partial differential equations using suitable dimensionless quantities.The resultant equations are solved numerically using variational finite element method.A parametric study illustrating the influence of different pertinent parameters is performed and the numerical results for translational velocity,microrotation velocity,temperature and concentration distributions near the boundary layers are discussed and presented graphically for the parametric variations.Finally,the skin-friction,wall couple stress,surface heat transfer and mass transfer rate dependency on the emerging thermo-physical parameters are also tabulated.The finite element code is benchmarked with the results reported in the literature to check the validity and accuracy under some limiting cases and excellent agreement with published solutions is achieved.
基金Supported by the South China Sea Monsoon Experiment,Climbing Programme"A"of China.
文摘By using the daily-14 year(1983—1996)NCEP/NCAR 2.5°×2.5° reanalysis data,we carefully study in each pentad the advance and retreat of the summer monsoon in China and given to it a new definition.This definition considered the intensity of southwesterly winds at 850 hPa together with its degree in temperature and moisture.The result revealed that: (1)The advance of the summer monsoon in China shows three abrupt northward shifts and four relatively stationary stays.The four stable stages correspond to the peak of the pro-summer rainy period in South China,the“Meiyu”season in the Changjiang(Yangtze)-Huaihe River Valleys.the rainy season in the downstream of the Huanghe(Yellow)Riyer Valleys and the rainy season in northern China.The retreat of the summer monsoon is so fast that it totally retreats from the mainland at about the mid-August. (2)The northward advance of summer monsoon in China is basically controlled by the seasonal variation latitudinally of the upper level planetary westerlies.It is in roughly accord with the temporal variation in the position of 15 m s^(-1) isotaeh at 200 hPa.The fast retreat of the summer monsoon is mainly due to the blocking effect of the Tibetan Plateau. (3)The advance of 500 hPa subtropical high of the western Pacific is also in aecordanee with the advance of the summer monsoon in China.During the advancement of the summer monsoon, the eastward movement of the subtropical high shows great meaning that it creates the essential condition for the convergence of southward intrusion cold airs with the warm and humid southwesterly winds,which result in precipitation.There are three manifest eastward movements of the subtropical high during its northward advancement.They coincide correspondingly to the beginning of the peak of the pre-summer rainy period in South China,the“Meiyu”season in the Changjiang(Yangtze)-Huaihe River Valleys and finally the rainy season in northern China.The western part of the subtropical high moves eastward to the region of Japan in late July and the beginning of August.It then stays there for quite a long time which results in the straight movement of cold airs intruding from the north to the east of Tibetan Plateau,i.e.the eastern region of China.This provides good condition for the fast southward retreat of the summer monsoon. (4)The intensifieation and development of the Tibetan high at 200 hPa are closely related to the eastward movement of the subtropical high,they often occur simultaneously.
