The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss...The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss for some users.To combat this,the traffic load of base stations should be kept as balanced as possible.In this paper,we propose an efficient load balancing-aware handover algorithm for highly dynamic beyond 5G heterogeneous networks by assigning mobile users to base stations with lighter loads when a handover is performed.The proposed algorithm is evaluated in a scenario with users having different levels of mobility,such as pedestrians and vehicles,and is shown to outperform the conventional handover mechanism,as well as another algorithm from the literature.As a secondary benefit,the overall energy consumption in the network is shown to be reduced with the proposed algorithm.展开更多
Natural products(NPs)derived from plants,microbes,and marine organisms have historically been a cornerstone of pharmacotherapy,accounting for approximately 35%of FDA-approved small-molecule drugs since 19811.These com...Natural products(NPs)derived from plants,microbes,and marine organisms have historically been a cornerstone of pharmacotherapy,accounting for approximately 35%of FDA-approved small-molecule drugs since 19811.These compounds have been instrumental in drug discovery,particularly for cancer and infectious diseases,as well as in other therapeutic areas such as cardiovascular diseases(e.g.,statins)and multiple sclerosis(e.g.,fingolimod).展开更多
Coptis chinensis Franch.and Panax ginseng C.A.Mey.are traditional herbal medicines with millennia of documented use and broad therapeutic applications,including anti-diabetic properties.However,the synergistic effect ...Coptis chinensis Franch.and Panax ginseng C.A.Mey.are traditional herbal medicines with millennia of documented use and broad therapeutic applications,including anti-diabetic properties.However,the synergistic effect of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng on type 2 diabetes mellitus(T2DM)and its underlying mechanism remain unclear.The research demonstrated that the optimal ratio of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng was 4∶1,exhibiting maximal efficacy in improving insulin resistance and gluconeogenesis in primary mouse hepatocytes.This combination demonstrated significant synergistic effects in improving glucose tolerance,reducing fasting blood glucose(FBG),the weight ratio of epididymal white adipose tissue(eWAT),and the homeostasis model assessment of insulin resistance(HOMA-IR)in leptin receptor-deficient(db/db)mice.Subsequently,a T2DM liver-specific network was constructed based on RNA sequencing(RNA-seq)experiments and public databases by integrating transcriptional properties of disease-associated proteins and protein-protein interactions(PPIs).The network recovery index(NRI)score of the combined treatment group with a 4∶1 ratio exceeded that of groups treated with individual components.The research identified that activated adenosine 5'-monophosphate-activated protein kinase(AMPK)/acetyl-CoA carboxylase(ACC)signaling in the liver played a crucial role in the synergistic treatment of T2DM,as verified by western blot experiment in db/db mice.These findings demonstrate that the 4∶1 combination of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng significantly improves insulin resistance and glucose and lipid metabolism disorders in db/db mice,surpassing the efficacy of individual treatments.The synergistic mechanism correlates with enhanced AMPK/ACC signaling pathway activity.展开更多
Network pharmacology has gained widespread application in drug discovery,particularly in traditional Chinese medicine(TCM)research,which is characterized by its“multi-component,multi-target,and multi-pathway”nature....Network pharmacology has gained widespread application in drug discovery,particularly in traditional Chinese medicine(TCM)research,which is characterized by its“multi-component,multi-target,and multi-pathway”nature.Through the integration of network biology,TCM network pharmacology enables systematic evaluation of therapeutic efficacy and detailed elucidation of action mechanisms,establishing a novel research paradigm for TCM modernization.The rapid advancement of machine learning,particularly revolutionary deep learning methods,has substantially enhanced artificial intelligence(AI)technology,offering significant potential to advance TCM network pharmacology research.This paper describes the methodology of TCM network pharmacology,encompassing ingredient identification,network construction,network analysis,and experimental validation.Furthermore,it summarizes key strategies for constructing various networks and analyzing constructed networks using AI methods.Finally,it addresses challenges and future directions regarding cell-cell communication(CCC)-based network construction,analysis,and validation,providing valuable insights for TCM network pharmacology.展开更多
Falls are a leading cause of injury and morbidity among older adults,especially those with Alzheimer’s disease(AD),who face increased risks due to cognitive decline,gait instability,and impaired spatial awareness.Whi...Falls are a leading cause of injury and morbidity among older adults,especially those with Alzheimer’s disease(AD),who face increased risks due to cognitive decline,gait instability,and impaired spatial awareness.While wearable sensor-based fall detection systems offer promising solutions,their effectiveness is often hindered by domain shifts resulting from variations in sensor placement,sampling frequencies,and discrepancies in dataset distributions.To address these challenges,this paper proposes a novel unsupervised domain adaptation(UDA)framework specifically designed for cross-dataset fall detection in Alzheimer’s disease(AD)patients,utilizing advanced transfer learning to enhance generalizability.The proposed method incorporates a ResNet-Transformer Network(ResT)as a feature extractor,along with a novel DualAlign Loss formulation that aims to align feature distributions while maintaining class separability.Experiments on the preprocessed KFall and SisFall datasets demonstrate significant improvements in F1-score and recall,crucial metrics for reliable fall detection,outperforming existing UDA methods,including a convolutional neural network(CNN),DeepCORAL,DANN,and CDAN.By addressing domain shifts,the proposed approach enhances the practical viability of fall detection systems for AD patients,providing a scalable solution to minimize injury risks and improve caregiving outcomes in real-world environments.展开更多
In most developing countries, governments attempt to enforce the movement from analogue to digital for all their sectors, from public to private. These technological advancements have been noted to bring necessary and...In most developing countries, governments attempt to enforce the movement from analogue to digital for all their sectors, from public to private. These technological advancements have been noted to bring necessary and unavoidable changes to businesses and learning environments. Higher learning institutions have adopted various e-learning systems to support learning, research, and publication activities to stay competitive in global academic systems. However, most public higher learning institutions in Tanzania lag behind in the adoption of these systems. Thus, research shows a failure of these institutions in utilising the full benefit that today’s Information and Communication Technology (ICT) can offer in learning environments. Thus, this study examines factors affecting the adoption of such a system in developing countries like Tanzania, taking the Institute of Accountancy Arusha (IAA) as a case study. The study used a mixed methodology where thematic and descriptive analysis was used to analyse both qualitative and quantitative research data. The study population was 187 teaching staff, a sample size of 126 was obtained, and 157 study participants were involved in the study. The study found that factors affecting the adoption of e-learning systems in public higher learning institutions in Tanzania include lack of ICT infrastructure, lack of technical and managerial support and lack of computers and e-learning knowledge among facilitators. Thus, the study recommended investments in adequate and reliable ICT facilities, high intermate speed and bandwidth, and policies that support e-learning and training programs about e-learning knowledge and use. Also, this study recommends the use of the Multi-Factors Adoption Model (MFAM11) for the successful adoption of an e-learning system in public higher learning institutions in Tanzania.展开更多
All modern computer users need to be concerned about information system security (individuals and organisations). Many businesses established various security structures to protect information system security from har...All modern computer users need to be concerned about information system security (individuals and organisations). Many businesses established various security structures to protect information system security from harmful occurrences by implementing security procedures, processes, policies, and information system security organisational structures to ensure data security. Despite all the precautions, information security remains a disaster in Tanzania’s learning institutions. The fundamental issue appears to be a lack of awareness of crucial information security factors. Various companies have different security issues due to differences in ICT infrastructure, implementations, and usage. The study focuses on identifying information system security threats and vulnerabilities in public higher learning institutions in Tanzania, particularly the Institute of Accountancy Arusha (IAA). The study involved all employees of IAA, academics, and other supporting staff, which totalled 302, and the sample size was 170. The study utilised a descriptive research design, where the quantitative methodology was used through a five-point Likert scale questionnaire, and found that key factors that affect the security of information systems at IAA include human factors, policy-related issues, work environment and demographic factors. The study proposed regular awareness and training programs;an increase in women’s awareness of information system security;proper policy creation and reviews every 4 years;promote actions that lessen information system security threats and vulnerabilities, and the creation of information system security policy documents independently from ICT policy.展开更多
The current methods used to industrially produce sinomenine hydrochloride involve several issues,including high solvent toxicity,long process flow,and low atomic utilization efficiency,and the greenness scores of the ...The current methods used to industrially produce sinomenine hydrochloride involve several issues,including high solvent toxicity,long process flow,and low atomic utilization efficiency,and the greenness scores of the processes are below 65 points.To solve these problems,a new process using anisole as the extractant was proposed.Anisole exhibits high selectivity for sinomenine and can be connected to the subsequent water-washing steps.After alkalization of the medicinal material,heating extraction,water washing,and acidification crystallization were carried out.The process was modeled and optimized.The design space was constructed.The recommended operating ranges for the critical process parameters were 3.0–4.0 h for alkalization time,60.0–80.0℃ for extraction temperature,2.0–3.0(volume ratio)for washing solution amount,and 2.0–2.4 mol·L^(-1) for hydrochloric acid concentration.The new process shows good robustness because different batches of medicinal materials did not greatly impact crystal purity or sinomenine transfer rate.The sinomenine transfer rate was about 20%higher than that of industrial processes.The greenness score increased to 90 points since the novel process proposed in this research solves the problems of long process flow,high solvent toxicity,and poor atomic economy,better aligning with the concept of green chemistry.展开更多
Raman spectroscopy has found extensive use in monitoring and controlling cell culture processes.In this context,the prediction accuracy of Raman-based models is of paramount importance.However,models established with ...Raman spectroscopy has found extensive use in monitoring and controlling cell culture processes.In this context,the prediction accuracy of Raman-based models is of paramount importance.However,models established with data from manually fed-batch cultures often exhibit poor performance in Raman-controlled cultures.Thus,there is a need for effective methods to rectify these models.The objective of this paper is to investigate the efficacy of Kalman filter(KF)algorithm in correcting Raman-based models during cell culture.Initially,partial least squares(PLS)models for different components were constructed using data from manually fed-batch cultures,and the predictive performance of these models was compared.Subsequently,various correction methods including the PLS-KF-KF method proposed in this study were employed to refine the PLS models.Finally,a case study involving the auto-control of glucose concentration demonstrated the application of optimal model correction method.The results indicated that the original PLS models exhibited differential performance between manually fed-batch cultures and Raman-controlled cultures.For glucose,the root mean square error of prediction(RMSEP)of manually fed-batch culture and Raman-controlled culture was 0.23 and 0.40 g·L^(-1).With the implementation of model correction methods,there was a significant improvement in model performance within Raman-controlled cultures.The RMSEP for glucose from updating-PLS,KF-PLS,and PLS-KF-KF was 0.38,0.36 and 0.17 g·L^(-1),respectively.Notably,the proposed PLS-KF-KF model correction method was found to be more effective and stable,playing a vital role in the automated nutrient feeding of cell cultures.展开更多
OBJECTIVE:To elucidate the potential feature and mechanism of the caffeic acid 3,4-dihydroxyphenethyl ester(CADPE)molecule,which can prevent colorectal cancer(CRC)in the 1,2-Dimethylhydrazine(DMH)/dextran sodium sulph...OBJECTIVE:To elucidate the potential feature and mechanism of the caffeic acid 3,4-dihydroxyphenethyl ester(CADPE)molecule,which can prevent colorectal cancer(CRC)in the 1,2-Dimethylhydrazine(DMH)/dextran sodium sulphate(DSS)-induced mouse model.METHODS:Institute of cancer research(ICR)male mice were injected with 20 mg/kg DMH for a week.After that,2%DSS was administered in the drinking water for another 7 d.The CADPE treatment was given to the DMH/DSS induced male mice at three different periods until their sacrifice.Histopathological examination was used for observing the CRC development at colonic mucosa.Immunohistochemistry(IHC),blood cells smearing and crypt damage scoring methods were used for investigating the anti-inflammation feature of CADPE related to CRC.The reversing targets searching method was applied with artificial intelligence(AI),computeraided drug designing(CADD)and Ingenuity Pathway Analysis(IPA)techniques for predicting the potential targets and mechanism of CADPE highly related to CRC.RESULTS:The data indicated that CADPE inhibited CRC tumor development in the colitis-associated DMH/DSS induced mouse model after giving the early treatment.CADPE also impeded the acute inflammation by decreasing the infiltration of neutrophils significantly during the initial stage of CRC development.Finally,our data showed that CADPE prevented CRC by blocking active sites of three pivotal protein targets including epidermal growth factor receptor(EGFR),extracellular signal-regulated kinase(ERK)and mammalian target of rapamycin(m TOR)in two major cancer development pathways.CONCLUSIONS:CADPE effectively prevented CRC at early stage of tumor germination in the DMH/DSS mouse model highly likely due to its anti-acute inflammation characteristic and the ability of blocking EGFR,ERK and m TOR activities in two highly related CRC developing pathways.展开更多
With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM ...With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM has garnered increasing attention and interest globally.Although advanced research progress has been made in the efficacy research,mechanism elucidation and target prediction of TCM in recent years[1].展开更多
Background:Background:Parotid gland neoplasms occur near the facial nerve.Hence,it is crucial to determine whether the malignant neoplasms involve the facial nerve and whether sacrifice of the nerve in surgery is nece...Background:Background:Parotid gland neoplasms occur near the facial nerve.Hence,it is crucial to determine whether the malignant neoplasms involve the facial nerve and whether sacrifice of the nerve in surgery is necessary.Furthermore,while 20%of all neoplasms are malignant,the most common benign neoplasm,pleomorphic adenoma,has a risk for malignant transformation,making early detection and treatment essential.7T magnetic resonance imaging offers increased signal-to-noise ratio(SNR)and sensitivity.Aim:In this work,we address imaging the parotid gland since it remains challenging at 7T because of its spatial location.Materials and Methods:Here,we present a novel three-dimensional surface coil(3D Coil)architecture that offers increased depth penetration and SNR compared to the single channel surface coil.We further developed a deep learning(DL)-based noise reduction method that receives inputs from three elements of the 3D Coil.Results:The 3D coil with DL-based denoising method offers twice the SNR compared to the single channel surface coil for parotid gland imaging at 7T.Discussion and Conclusion:The proposed 3D Coil and DL-based noise reduction method offers a promising way of achieving higher SNR for parotid salivary gland imaging at 7T,paving the road for clinical applications.展开更多
Non-destructive testing of composites is an important issue in the modern aircraft industry.Composites are susceptible to the barely visible impact damage which can affect the residual strength of the material and occ...Non-destructive testing of composites is an important issue in the modern aircraft industry.Composites are susceptible to the barely visible impact damage which can affect the residual strength of the material and occurs both during production and operation.The continuum model for describing the damaged zone is presented.The slip theory relations used for a continuous distribution of slip planes are applied.At the initial stage,the isotropic background model is used.This model allows the material slippage along the fractures based on the Coulomb friction law with the small viscous addition.In this regime,the govern system of equations becomes rigid.To overcome this difficulty,the explicit-implicit grid-characteristic scheme is proposed.The standard ultrasound diagnostic procedure of damaged composite materials is successfully simulated.Compared with the trivial free-surface fracture model,different reactions on the compression and stretch waves are registered.This approach provided an effective way for the simulation of complex dynamic behavior of damage zones.展开更多
Liver transplantation(LT)is the standard therapy for individuals afflicted with end-stage liver disease.Despite notable advancements in LT technology,the incidence of early allograft dysfunction(EAD)remains a critical...Liver transplantation(LT)is the standard therapy for individuals afflicted with end-stage liver disease.Despite notable advancements in LT technology,the incidence of early allograft dysfunction(EAD)remains a critical concern,exacerbating the current organ shortage and detrimentally affecting the prognosis of recipients.Unfortunately,the perplexing hepatic heterogeneity has impeded characterization of the cellular traits and molecular events that contribute to EAD.Herein,we constructed a pioneering single-cell transcriptomic landscape of human transplanted livers derived from non-EAD and EAD patients,with 12 liver samples collected from 7 donors during the cold perfusion and portal reperfusion stages.Comparison of the 75231 cells of non-EAD and EAD patients revealed an EAD-associated immune niche comprising mucosal-associated invariant T cells,granzyme B^(+)(GZMB^(+))granzyme K^(+)(GZMK^(+))natural killer cells,and S100 calcium binding protein A12^(+)(S100A12^(+))neutrophils.Moreover,we verified this immune niche and its association with EAD occurrence in two independent cohorts.Our findings elucidate the cellular characteristics of transplanted livers and the EAD-associated pathogenic immune niche at the single-cell level,thus,offering valuable insights into EAD onset.展开更多
1.Introduction Cell structure and function are controlled by a complex regulatory networking process,in which molecular adaptation and interaction are essential to maintain cellular homeostasis following dynamic multi...1.Introduction Cell structure and function are controlled by a complex regulatory networking process,in which molecular adaptation and interaction are essential to maintain cellular homeostasis following dynamic multi-omics rules and multi-systematic changes.This complex chemical process is an important mechanism for stabilizing the cell microenvironment.展开更多
High-content screening(HCS)technology combines automated high-speed imaging hardware and single-cell quantitative analysis.It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful ...High-content screening(HCS)technology combines automated high-speed imaging hardware and single-cell quantitative analysis.It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful research technique in traditional Chinese medicine(TCM).An increasing number of laboratories and platforms,including TCM laboratories,have begun utilizing HCS systems.However,this technology is still in its infancy in TCM research and there is a lack of sufficient experience with the associated concepts,instrument configurations,and analysis methods.To improve the understanding of HCS among researchers in the field of TCM,this paper summarizes the concept of HCS,software and hardware configuration,the overall research process,as well as common problems and related solutions of HCS in TCM research based on our team’s previous research experience,providing several research examples and an outlook on future perspectives,aiming to provide a technical guide for HCS in TCM research.展开更多
Objectives:Low back and pelvic girdle pain(LBPGP)is common during pregnancy.Acupuncture is an effective and safe therapy for pain relief.However,further evidence is required to confirm the efficacy and safety of acupu...Objectives:Low back and pelvic girdle pain(LBPGP)is common during pregnancy.Acupuncture is an effective and safe therapy for pain relief.However,further evidence is required to confirm the efficacy and safety of acupuncture in treating LBPGP during pregnancy.This study aimed to systematically review and investigate the clinical efficacy and safety of acupuncture for the treatment of pregnancy-related LBPGP.Methods:The PubMed,EMBASE,Cochrane Library,CNKI,VIP,and WanFang databases were searched from January 2000 to August 2023.Only the randomized controlled trials(RCTs)involving pregnant women between 16 and 34 weeks of gestation diagnosed with LBPGP were included in the study.A meta-analysis was conducted and pooled risk ratios(RRs)or mean differences(MDs)with 95%confidence intervals(CIs)were compared.Results:Meta-analysis included 12 RCTs involving 1,641 participants.Eleven trials compared acupuncture alone or acupuncture combined with standard care(SC),of which three trials also used non-penetrating or placebo acupuncture as the control group.One trial compared acupuncture alone with non-penetrating acupuncture.Compared with SC,acupuncture combined with SC group significantly decreased visual analog scale score(mean difference(MD)=−2.83,95%CI=−3.41 to−2.26,P<0.00001),cesarean section rate(RR=0.69,95%CI=0.49–0.97,P=0.03),preterm birth rate(RR=0.42,95%CI=0.27–0.65,P<0.0001),labor duration(MD=−1.97,95%CI=−2.73 to−1.20,P<0.0001),and Oswestry disability index score(MD=−9.14,95%CI=−15.68 to−2.42,P=0.008).In addition,acupuncture combined with SC significantly improved 12-Items Short Form Health Survey of physical component summaries(SF12-PCS).No significant differences were observed in the spontaneous delivery rate,newborn weight,drowsiness,and 12-Items Short Form Health Survey of mental component summaries(SF12-MCS)between the two groups.Adverse events such as needle pain and needle bleeding were aggravated in both the SC and acupuncture treatment groups but none were associated with acupuncture during or after the treatment period.Conclusions:Meta-analysis showed that acupuncture combined with SC had better efficacy than SC alone and could be a potential therapy for LBPGP during pregnancy.The safety results imply that acupuncture caused few adverse reactions;however,more evidence is required for further confirmation.展开更多
1|INTRODUCTION Ultra-high field(UHF)MRI has become a main trend of MR research in the past few decades,which is driven by the human ambition to explore the frontier of in vivo imaging of human body with ever greater s...1|INTRODUCTION Ultra-high field(UHF)MRI has become a main trend of MR research in the past few decades,which is driven by the human ambition to explore the frontier of in vivo imaging of human body with ever greater spatial and temporal resolutions.The signal-to-noise ratio(SNR)has a superlinear relationship with the main magnetic field strength characterized as SNR∝B01.65[1].In addition,the increased sensitivity to susceptibility effects and other contrasts at UHF makes it appealing to perform functional MRI as well as other MRI modalities to reveal mesoscopic structures and functions of human brain and body organs.Traditionally,UHF refers to a main magnetic field equal to or greater than 7T.Currently,there are approximately 1307T MRI systems in the world,some of them have received US FDA and EU regulatory approval since 2017 and are being used clinically for neuroimaging and musculoskeletal imag-ing.展开更多
Danshen-Chuanxiongqin Injection(DCI)is a commonly used traditional Chinese medicine for the treatment of cerebral ischemic stroke in China.However,its underlying mechanisms remain completely understood.The current stu...Danshen-Chuanxiongqin Injection(DCI)is a commonly used traditional Chinese medicine for the treatment of cerebral ischemic stroke in China.However,its underlying mechanisms remain completely understood.The current study was designed to explore the protective mechanisms of DCI against cerebral ischemic stroke through integrating whole-transcriptome sequencing coupled with network pharmacology analysis.First,using a mouse model of cerebral ischemic stroke by transient middle cerebral artery occlusion(tMCAO),we found that DCI(4.10 mL·kg−1)significantly alleviated cerebral ischemic infarction,neurological deficits,and the pathological injury of hippocampal and cortical neurons in mice.Next,the whole-transcriptome sequencing was performed on brain tissues.The cerebral ischemia disease(CID)network was constructed by integrating transcriptome sequencing data and cerebrovascular disease-related genes.The results showed CID network was imbalanced due to tMCAO,but a recovery regulation was observed after DCI treatment.Pathway analysis of the key genes with recovery efficiency showed that the neuroinflammation signaling pathway was highly enriched,while the TLR2/TLR4-MyD88-NF-κB pathway was predicted to be affected.Consistently,the in vivo validation experiments confirmed that DCI exhibited protective effects against cerebral ischemic stroke by inhibiting neuroinflammation via the TLR2/TLR4-MyD88-NF-κB pathway.More interestingly,DCI markedly suppressed the neutrophils infiltrated into the brain parenchyma via the choroid plexus route and showed anti-neuroinflammation effects.In conclusion,our results provide dependable evidence that inhibiting neuroinflammation via the TLR2/TLR4-MyD88-NF-κB pathway is the main mechanism of DCI against cerebral ischemic stroke in mice.展开更多
A liquid chromatography coupled with diode array detector(DAD) and electrospray ionization time-of-flight mass spectrometry(ESI-TOF/MS) method was developed for the screening and identification of the multiple compone...A liquid chromatography coupled with diode array detector(DAD) and electrospray ionization time-of-flight mass spectrometry(ESI-TOF/MS) method was developed for the screening and identification of the multiple components in Tanreqing injection, a well-known Chinese medicine injection in China. By combining the DAD spectrum and the accurate mass measurement of ESI-TOF/MS, twelve components in Tanreqing injection were identified. This study contributes to clarifying the nature of Tanreqing injection, and provides an effective and reliable process for the comprehensive and systematic characterization of complex traditional Chinese medicine preparations.展开更多
基金supported in part by the Istanbul Technical University Scientific Research Projects Coordination Unit under Grant FHD-2024-45764in part by TUBITAK 1515 Frontier R&D Laboratories Support Program for Turkcell 6GEN LAB under Grant 5229902Turkcell Technology R&D Center(Law no.5746)has partially supported this study。
文摘The increase in user mobility and density in modern cellular networks increases the risk of overloading certain base stations in popular locations such as shopping malls or stadiums,which can result in connection loss for some users.To combat this,the traffic load of base stations should be kept as balanced as possible.In this paper,we propose an efficient load balancing-aware handover algorithm for highly dynamic beyond 5G heterogeneous networks by assigning mobile users to base stations with lighter loads when a handover is performed.The proposed algorithm is evaluated in a scenario with users having different levels of mobility,such as pedestrians and vehicles,and is shown to outperform the conventional handover mechanism,as well as another algorithm from the literature.As a secondary benefit,the overall energy consumption in the network is shown to be reduced with the proposed algorithm.
文摘Natural products(NPs)derived from plants,microbes,and marine organisms have historically been a cornerstone of pharmacotherapy,accounting for approximately 35%of FDA-approved small-molecule drugs since 19811.These compounds have been instrumental in drug discovery,particularly for cancer and infectious diseases,as well as in other therapeutic areas such as cardiovascular diseases(e.g.,statins)and multiple sclerosis(e.g.,fingolimod).
基金supported by the Pioneer and Leading Goose R&D Program of Zhejiang Province(No.2024C03106)the National Natural Science Foundation of China(No.U23A20513)+1 种基金Ningbo Top Medical and Health Research Program(No.2022030309)the Innovation Team and Talents Cultivation Program of the National Administration of Traditional Chinese Medicine(No.ZYYCXTD-D-202002).
文摘Coptis chinensis Franch.and Panax ginseng C.A.Mey.are traditional herbal medicines with millennia of documented use and broad therapeutic applications,including anti-diabetic properties.However,the synergistic effect of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng on type 2 diabetes mellitus(T2DM)and its underlying mechanism remain unclear.The research demonstrated that the optimal ratio of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng was 4∶1,exhibiting maximal efficacy in improving insulin resistance and gluconeogenesis in primary mouse hepatocytes.This combination demonstrated significant synergistic effects in improving glucose tolerance,reducing fasting blood glucose(FBG),the weight ratio of epididymal white adipose tissue(eWAT),and the homeostasis model assessment of insulin resistance(HOMA-IR)in leptin receptor-deficient(db/db)mice.Subsequently,a T2DM liver-specific network was constructed based on RNA sequencing(RNA-seq)experiments and public databases by integrating transcriptional properties of disease-associated proteins and protein-protein interactions(PPIs).The network recovery index(NRI)score of the combined treatment group with a 4∶1 ratio exceeded that of groups treated with individual components.The research identified that activated adenosine 5'-monophosphate-activated protein kinase(AMPK)/acetyl-CoA carboxylase(ACC)signaling in the liver played a crucial role in the synergistic treatment of T2DM,as verified by western blot experiment in db/db mice.These findings demonstrate that the 4∶1 combination of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng significantly improves insulin resistance and glucose and lipid metabolism disorders in db/db mice,surpassing the efficacy of individual treatments.The synergistic mechanism correlates with enhanced AMPK/ACC signaling pathway activity.
基金supported by the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2024C03106,X.F.)the National Natural Science Foundation of China(No.82474160,X.S.)+2 种基金the Joint Funds of the Zhejiang Provincial Natural Science Foundation of China(No.LBZ24H270001,X.P.)the Major Joint Projects Supported by the National Administration of TCM and Zhejiang Province(No.GZY-ZI-KJ-23037,X.P.)the Ningbo Top Medical and Health Research Program(No.2022030309,X.P.)。
文摘Network pharmacology has gained widespread application in drug discovery,particularly in traditional Chinese medicine(TCM)research,which is characterized by its“multi-component,multi-target,and multi-pathway”nature.Through the integration of network biology,TCM network pharmacology enables systematic evaluation of therapeutic efficacy and detailed elucidation of action mechanisms,establishing a novel research paradigm for TCM modernization.The rapid advancement of machine learning,particularly revolutionary deep learning methods,has substantially enhanced artificial intelligence(AI)technology,offering significant potential to advance TCM network pharmacology research.This paper describes the methodology of TCM network pharmacology,encompassing ingredient identification,network construction,network analysis,and experimental validation.Furthermore,it summarizes key strategies for constructing various networks and analyzing constructed networks using AI methods.Finally,it addresses challenges and future directions regarding cell-cell communication(CCC)-based network construction,analysis,and validation,providing valuable insights for TCM network pharmacology.
基金funded by the King Salman Center for Disability Research through Research Group no.KSRG-2024-430.
文摘Falls are a leading cause of injury and morbidity among older adults,especially those with Alzheimer’s disease(AD),who face increased risks due to cognitive decline,gait instability,and impaired spatial awareness.While wearable sensor-based fall detection systems offer promising solutions,their effectiveness is often hindered by domain shifts resulting from variations in sensor placement,sampling frequencies,and discrepancies in dataset distributions.To address these challenges,this paper proposes a novel unsupervised domain adaptation(UDA)framework specifically designed for cross-dataset fall detection in Alzheimer’s disease(AD)patients,utilizing advanced transfer learning to enhance generalizability.The proposed method incorporates a ResNet-Transformer Network(ResT)as a feature extractor,along with a novel DualAlign Loss formulation that aims to align feature distributions while maintaining class separability.Experiments on the preprocessed KFall and SisFall datasets demonstrate significant improvements in F1-score and recall,crucial metrics for reliable fall detection,outperforming existing UDA methods,including a convolutional neural network(CNN),DeepCORAL,DANN,and CDAN.By addressing domain shifts,the proposed approach enhances the practical viability of fall detection systems for AD patients,providing a scalable solution to minimize injury risks and improve caregiving outcomes in real-world environments.
文摘In most developing countries, governments attempt to enforce the movement from analogue to digital for all their sectors, from public to private. These technological advancements have been noted to bring necessary and unavoidable changes to businesses and learning environments. Higher learning institutions have adopted various e-learning systems to support learning, research, and publication activities to stay competitive in global academic systems. However, most public higher learning institutions in Tanzania lag behind in the adoption of these systems. Thus, research shows a failure of these institutions in utilising the full benefit that today’s Information and Communication Technology (ICT) can offer in learning environments. Thus, this study examines factors affecting the adoption of such a system in developing countries like Tanzania, taking the Institute of Accountancy Arusha (IAA) as a case study. The study used a mixed methodology where thematic and descriptive analysis was used to analyse both qualitative and quantitative research data. The study population was 187 teaching staff, a sample size of 126 was obtained, and 157 study participants were involved in the study. The study found that factors affecting the adoption of e-learning systems in public higher learning institutions in Tanzania include lack of ICT infrastructure, lack of technical and managerial support and lack of computers and e-learning knowledge among facilitators. Thus, the study recommended investments in adequate and reliable ICT facilities, high intermate speed and bandwidth, and policies that support e-learning and training programs about e-learning knowledge and use. Also, this study recommends the use of the Multi-Factors Adoption Model (MFAM11) for the successful adoption of an e-learning system in public higher learning institutions in Tanzania.
文摘All modern computer users need to be concerned about information system security (individuals and organisations). Many businesses established various security structures to protect information system security from harmful occurrences by implementing security procedures, processes, policies, and information system security organisational structures to ensure data security. Despite all the precautions, information security remains a disaster in Tanzania’s learning institutions. The fundamental issue appears to be a lack of awareness of crucial information security factors. Various companies have different security issues due to differences in ICT infrastructure, implementations, and usage. The study focuses on identifying information system security threats and vulnerabilities in public higher learning institutions in Tanzania, particularly the Institute of Accountancy Arusha (IAA). The study involved all employees of IAA, academics, and other supporting staff, which totalled 302, and the sample size was 170. The study utilised a descriptive research design, where the quantitative methodology was used through a five-point Likert scale questionnaire, and found that key factors that affect the security of information systems at IAA include human factors, policy-related issues, work environment and demographic factors. The study proposed regular awareness and training programs;an increase in women’s awareness of information system security;proper policy creation and reviews every 4 years;promote actions that lessen information system security threats and vulnerabilities, and the creation of information system security policy documents independently from ICT policy.
基金supported by the Innovation Team and Talents Cultivation Program of the National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002)the Fundamental Research Funds for the Central Universities(226-2022-00226).
文摘The current methods used to industrially produce sinomenine hydrochloride involve several issues,including high solvent toxicity,long process flow,and low atomic utilization efficiency,and the greenness scores of the processes are below 65 points.To solve these problems,a new process using anisole as the extractant was proposed.Anisole exhibits high selectivity for sinomenine and can be connected to the subsequent water-washing steps.After alkalization of the medicinal material,heating extraction,water washing,and acidification crystallization were carried out.The process was modeled and optimized.The design space was constructed.The recommended operating ranges for the critical process parameters were 3.0–4.0 h for alkalization time,60.0–80.0℃ for extraction temperature,2.0–3.0(volume ratio)for washing solution amount,and 2.0–2.4 mol·L^(-1) for hydrochloric acid concentration.The new process shows good robustness because different batches of medicinal materials did not greatly impact crystal purity or sinomenine transfer rate.The sinomenine transfer rate was about 20%higher than that of industrial processes.The greenness score increased to 90 points since the novel process proposed in this research solves the problems of long process flow,high solvent toxicity,and poor atomic economy,better aligning with the concept of green chemistry.
基金supported by the Key Research and Development Program of Zhejiang Province,China(2023C03116).
文摘Raman spectroscopy has found extensive use in monitoring and controlling cell culture processes.In this context,the prediction accuracy of Raman-based models is of paramount importance.However,models established with data from manually fed-batch cultures often exhibit poor performance in Raman-controlled cultures.Thus,there is a need for effective methods to rectify these models.The objective of this paper is to investigate the efficacy of Kalman filter(KF)algorithm in correcting Raman-based models during cell culture.Initially,partial least squares(PLS)models for different components were constructed using data from manually fed-batch cultures,and the predictive performance of these models was compared.Subsequently,various correction methods including the PLS-KF-KF method proposed in this study were employed to refine the PLS models.Finally,a case study involving the auto-control of glucose concentration demonstrated the application of optimal model correction method.The results indicated that the original PLS models exhibited differential performance between manually fed-batch cultures and Raman-controlled cultures.For glucose,the root mean square error of prediction(RMSEP)of manually fed-batch culture and Raman-controlled culture was 0.23 and 0.40 g·L^(-1).With the implementation of model correction methods,there was a significant improvement in model performance within Raman-controlled cultures.The RMSEP for glucose from updating-PLS,KF-PLS,and PLS-KF-KF was 0.38,0.36 and 0.17 g·L^(-1),respectively.Notably,the proposed PLS-KF-KF model correction method was found to be more effective and stable,playing a vital role in the automated nutrient feeding of cell cultures.
基金National Natural Science Foundation of China Project:the Investigation of Anti-tumor Target System of Traditional Chinese Medicine(No.81274137,to Stimulate Research Targeted the Energy Metabolism Network of Tumor Cells)。
文摘OBJECTIVE:To elucidate the potential feature and mechanism of the caffeic acid 3,4-dihydroxyphenethyl ester(CADPE)molecule,which can prevent colorectal cancer(CRC)in the 1,2-Dimethylhydrazine(DMH)/dextran sodium sulphate(DSS)-induced mouse model.METHODS:Institute of cancer research(ICR)male mice were injected with 20 mg/kg DMH for a week.After that,2%DSS was administered in the drinking water for another 7 d.The CADPE treatment was given to the DMH/DSS induced male mice at three different periods until their sacrifice.Histopathological examination was used for observing the CRC development at colonic mucosa.Immunohistochemistry(IHC),blood cells smearing and crypt damage scoring methods were used for investigating the anti-inflammation feature of CADPE related to CRC.The reversing targets searching method was applied with artificial intelligence(AI),computeraided drug designing(CADD)and Ingenuity Pathway Analysis(IPA)techniques for predicting the potential targets and mechanism of CADPE highly related to CRC.RESULTS:The data indicated that CADPE inhibited CRC tumor development in the colitis-associated DMH/DSS induced mouse model after giving the early treatment.CADPE also impeded the acute inflammation by decreasing the infiltration of neutrophils significantly during the initial stage of CRC development.Finally,our data showed that CADPE prevented CRC by blocking active sites of three pivotal protein targets including epidermal growth factor receptor(EGFR),extracellular signal-regulated kinase(ERK)and mammalian target of rapamycin(m TOR)in two major cancer development pathways.CONCLUSIONS:CADPE effectively prevented CRC at early stage of tumor germination in the DMH/DSS mouse model highly likely due to its anti-acute inflammation characteristic and the ability of blocking EGFR,ERK and m TOR activities in two highly related CRC developing pathways.
基金This work is supported by the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2024C03106)Ningbo Top Medical and Health Research Program(No.2022030309)。
文摘With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM has garnered increasing attention and interest globally.Although advanced research progress has been made in the efficacy research,mechanism elucidation and target prediction of TCM in recent years[1].
基金National Institute of Health,Grant/Award Number:R01‐EB032169。
文摘Background:Background:Parotid gland neoplasms occur near the facial nerve.Hence,it is crucial to determine whether the malignant neoplasms involve the facial nerve and whether sacrifice of the nerve in surgery is necessary.Furthermore,while 20%of all neoplasms are malignant,the most common benign neoplasm,pleomorphic adenoma,has a risk for malignant transformation,making early detection and treatment essential.7T magnetic resonance imaging offers increased signal-to-noise ratio(SNR)and sensitivity.Aim:In this work,we address imaging the parotid gland since it remains challenging at 7T because of its spatial location.Materials and Methods:Here,we present a novel three-dimensional surface coil(3D Coil)architecture that offers increased depth penetration and SNR compared to the single channel surface coil.We further developed a deep learning(DL)-based noise reduction method that receives inputs from three elements of the 3D Coil.Results:The 3D coil with DL-based denoising method offers twice the SNR compared to the single channel surface coil for parotid gland imaging at 7T.Discussion and Conclusion:The proposed 3D Coil and DL-based noise reduction method offers a promising way of achieving higher SNR for parotid salivary gland imaging at 7T,paving the road for clinical applications.
基金the financial support of the Russian Science Foundation(No.19-71-10060)。
文摘Non-destructive testing of composites is an important issue in the modern aircraft industry.Composites are susceptible to the barely visible impact damage which can affect the residual strength of the material and occurs both during production and operation.The continuum model for describing the damaged zone is presented.The slip theory relations used for a continuous distribution of slip planes are applied.At the initial stage,the isotropic background model is used.This model allows the material slippage along the fractures based on the Coulomb friction law with the small viscous addition.In this regime,the govern system of equations becomes rigid.To overcome this difficulty,the explicit-implicit grid-characteristic scheme is proposed.The standard ultrasound diagnostic procedure of damaged composite materials is successfully simulated.Compared with the trivial free-surface fracture model,different reactions on the compression and stretch waves are registered.This approach provided an effective way for the simulation of complex dynamic behavior of damage zones.
基金supported by the National Natural Science Foundation of China(82200725)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002)+4 种基金the Fundamental Research Funds for the Central Universities(226-2023-00114,226-2022-00226,and 226-2023-00059)the Key Program of National Natural Science Foundation of China(81930016)the Key Research and Development Program of China(2021YFA1100500)the Major Research Plan of the National Natural Science Foundation of China(92159202)the Ningbo Top Medical and Health Research Program(2022030309).
文摘Liver transplantation(LT)is the standard therapy for individuals afflicted with end-stage liver disease.Despite notable advancements in LT technology,the incidence of early allograft dysfunction(EAD)remains a critical concern,exacerbating the current organ shortage and detrimentally affecting the prognosis of recipients.Unfortunately,the perplexing hepatic heterogeneity has impeded characterization of the cellular traits and molecular events that contribute to EAD.Herein,we constructed a pioneering single-cell transcriptomic landscape of human transplanted livers derived from non-EAD and EAD patients,with 12 liver samples collected from 7 donors during the cold perfusion and portal reperfusion stages.Comparison of the 75231 cells of non-EAD and EAD patients revealed an EAD-associated immune niche comprising mucosal-associated invariant T cells,granzyme B^(+)(GZMB^(+))granzyme K^(+)(GZMK^(+))natural killer cells,and S100 calcium binding protein A12^(+)(S100A12^(+))neutrophils.Moreover,we verified this immune niche and its association with EAD occurrence in two independent cohorts.Our findings elucidate the cellular characteristics of transplanted livers and the EAD-associated pathogenic immune niche at the single-cell level,thus,offering valuable insights into EAD onset.
基金supported by the Major Program(82293651)the Key Program(82130055)of National Natural Science Foundation of China,the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences(2019-I2M-5-055)the“Pioneer”and“Leading Goose”Research and Development(R&D)Program of Zhejiang(2023C03004).
文摘1.Introduction Cell structure and function are controlled by a complex regulatory networking process,in which molecular adaptation and interaction are essential to maintain cellular homeostasis following dynamic multi-omics rules and multi-systematic changes.This complex chemical process is an important mechanism for stabilizing the cell microenvironment.
基金supported by grants from the Construction Fund of Key Medical Disciplines of Hangzhou(OO20200121,China)“Pioneer”and“Leading Goose”R&D Program of Zhejiang(2023C03004,2024C03143).
文摘High-content screening(HCS)technology combines automated high-speed imaging hardware and single-cell quantitative analysis.It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful research technique in traditional Chinese medicine(TCM).An increasing number of laboratories and platforms,including TCM laboratories,have begun utilizing HCS systems.However,this technology is still in its infancy in TCM research and there is a lack of sufficient experience with the associated concepts,instrument configurations,and analysis methods.To improve the understanding of HCS among researchers in the field of TCM,this paper summarizes the concept of HCS,software and hardware configuration,the overall research process,as well as common problems and related solutions of HCS in TCM research based on our team’s previous research experience,providing several research examples and an outlook on future perspectives,aiming to provide a technical guide for HCS in TCM research.
基金supported by grants“Pioneer”and“Leading Goose”R&D Program of Zhejiang(2023C03004,2024C03106)Zhejiang Province Traditional Chinese Medicine Science and Technology Project(GZY-ZJ-KJ-24076)+1 种基金National Key Research and Development Program of China(2023YFC3504600)Transverse Research Project of Zhejiang University(2023-KYY-A07035-0007).
文摘Objectives:Low back and pelvic girdle pain(LBPGP)is common during pregnancy.Acupuncture is an effective and safe therapy for pain relief.However,further evidence is required to confirm the efficacy and safety of acupuncture in treating LBPGP during pregnancy.This study aimed to systematically review and investigate the clinical efficacy and safety of acupuncture for the treatment of pregnancy-related LBPGP.Methods:The PubMed,EMBASE,Cochrane Library,CNKI,VIP,and WanFang databases were searched from January 2000 to August 2023.Only the randomized controlled trials(RCTs)involving pregnant women between 16 and 34 weeks of gestation diagnosed with LBPGP were included in the study.A meta-analysis was conducted and pooled risk ratios(RRs)or mean differences(MDs)with 95%confidence intervals(CIs)were compared.Results:Meta-analysis included 12 RCTs involving 1,641 participants.Eleven trials compared acupuncture alone or acupuncture combined with standard care(SC),of which three trials also used non-penetrating or placebo acupuncture as the control group.One trial compared acupuncture alone with non-penetrating acupuncture.Compared with SC,acupuncture combined with SC group significantly decreased visual analog scale score(mean difference(MD)=−2.83,95%CI=−3.41 to−2.26,P<0.00001),cesarean section rate(RR=0.69,95%CI=0.49–0.97,P=0.03),preterm birth rate(RR=0.42,95%CI=0.27–0.65,P<0.0001),labor duration(MD=−1.97,95%CI=−2.73 to−1.20,P<0.0001),and Oswestry disability index score(MD=−9.14,95%CI=−15.68 to−2.42,P=0.008).In addition,acupuncture combined with SC significantly improved 12-Items Short Form Health Survey of physical component summaries(SF12-PCS).No significant differences were observed in the spontaneous delivery rate,newborn weight,drowsiness,and 12-Items Short Form Health Survey of mental component summaries(SF12-MCS)between the two groups.Adverse events such as needle pain and needle bleeding were aggravated in both the SC and acupuncture treatment groups but none were associated with acupuncture during or after the treatment period.Conclusions:Meta-analysis showed that acupuncture combined with SC had better efficacy than SC alone and could be a potential therapy for LBPGP during pregnancy.The safety results imply that acupuncture caused few adverse reactions;however,more evidence is required for further confirmation.
文摘1|INTRODUCTION Ultra-high field(UHF)MRI has become a main trend of MR research in the past few decades,which is driven by the human ambition to explore the frontier of in vivo imaging of human body with ever greater spatial and temporal resolutions.The signal-to-noise ratio(SNR)has a superlinear relationship with the main magnetic field strength characterized as SNR∝B01.65[1].In addition,the increased sensitivity to susceptibility effects and other contrasts at UHF makes it appealing to perform functional MRI as well as other MRI modalities to reveal mesoscopic structures and functions of human brain and body organs.Traditionally,UHF refers to a main magnetic field equal to or greater than 7T.Currently,there are approximately 1307T MRI systems in the world,some of them have received US FDA and EU regulatory approval since 2017 and are being used clinically for neuroimaging and musculoskeletal imag-ing.
基金supported by the National S&T Major Project(No.2018ZX09201011)the National Youth Topnotch Talent Support Program(No.W02070098).
文摘Danshen-Chuanxiongqin Injection(DCI)is a commonly used traditional Chinese medicine for the treatment of cerebral ischemic stroke in China.However,its underlying mechanisms remain completely understood.The current study was designed to explore the protective mechanisms of DCI against cerebral ischemic stroke through integrating whole-transcriptome sequencing coupled with network pharmacology analysis.First,using a mouse model of cerebral ischemic stroke by transient middle cerebral artery occlusion(tMCAO),we found that DCI(4.10 mL·kg−1)significantly alleviated cerebral ischemic infarction,neurological deficits,and the pathological injury of hippocampal and cortical neurons in mice.Next,the whole-transcriptome sequencing was performed on brain tissues.The cerebral ischemia disease(CID)network was constructed by integrating transcriptome sequencing data and cerebrovascular disease-related genes.The results showed CID network was imbalanced due to tMCAO,but a recovery regulation was observed after DCI treatment.Pathway analysis of the key genes with recovery efficiency showed that the neuroinflammation signaling pathway was highly enriched,while the TLR2/TLR4-MyD88-NF-κB pathway was predicted to be affected.Consistently,the in vivo validation experiments confirmed that DCI exhibited protective effects against cerebral ischemic stroke by inhibiting neuroinflammation via the TLR2/TLR4-MyD88-NF-κB pathway.More interestingly,DCI markedly suppressed the neutrophils infiltrated into the brain parenchyma via the choroid plexus route and showed anti-neuroinflammation effects.In conclusion,our results provide dependable evidence that inhibiting neuroinflammation via the TLR2/TLR4-MyD88-NF-κB pathway is the main mechanism of DCI against cerebral ischemic stroke in mice.
基金supported by the Program for New Century Excellent Talents in University(No.NCET-06-0515)China Postdoctoral Science Foundation(No.2012M511380)
文摘A liquid chromatography coupled with diode array detector(DAD) and electrospray ionization time-of-flight mass spectrometry(ESI-TOF/MS) method was developed for the screening and identification of the multiple components in Tanreqing injection, a well-known Chinese medicine injection in China. By combining the DAD spectrum and the accurate mass measurement of ESI-TOF/MS, twelve components in Tanreqing injection were identified. This study contributes to clarifying the nature of Tanreqing injection, and provides an effective and reliable process for the comprehensive and systematic characterization of complex traditional Chinese medicine preparations.
