The majority of big data analytics applied to transportation datasets suffer from being too domain-specific,that is,they draw conclusions for a dataset based on analytics on the same dataset.This makes models trained ...The majority of big data analytics applied to transportation datasets suffer from being too domain-specific,that is,they draw conclusions for a dataset based on analytics on the same dataset.This makes models trained from one domain(e.g.taxi data)applies badly to a different domain(e.g.Uber data).To achieve accurate analyses on a new domain,substantial amounts of data must be available,which limits practical applications.To remedy this,we propose to use semi-supervised and active learning of big data to accomplish the domain adaptation task:Selectively choosing a small amount of datapoints from a new domain while achieving comparable performances to using all the datapoints.We choose the New York City(NYC)transportation data of taxi and Uber as our dataset,simulating different domains with 90%as the source data domain for training and the remaining 10%as the target data domain for evaluation.We propose semi-supervised and active learning strategies and apply it to the source domain for selecting datapoints.Experimental results show that our adaptation achieves a comparable performance of using all datapoints while using only a fraction of them,substantially reducing the amount of data required.Our approach has two major advantages:It can make accurate analytics and predictions when big datasets are not available,and even if big datasets are available,our approach chooses the most informative datapoints out of the dataset,making the process much more efficient without having to process huge amounts of data.展开更多
Air pollution is considered a risk factor for asthma. In this paper, we analyze the association between daily hospital admissions for asthma and ambient air pollution concentrations in four New York City counties. Neg...Air pollution is considered a risk factor for asthma. In this paper, we analyze the association between daily hospital admissions for asthma and ambient air pollution concentrations in four New York City counties. Negative binomial regression is used to model the association between daily asthma hospital admissions and ambient air pollution concentrations. Potential confounding factors such as heat index, day of week, holidays, yearly population changes, and seasonal and long-term trends are controlled for in the models. Nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO) show the most consistent statistically significant associations with daily hospitalizations for asthma during the entire period (1996-2000). The associations are stronger for children (0 - 17 years) than for adults (18 - 64 years). Relative risks (RR) for the inter-quartile range (IQR) of same day 24-hour average pollutant concentration and asthma hospitalizations for children for the four county hospitalization totals were: NO2 (IQR = 0.011 ppm, RR = 1.017, 95% CI = 1.001, 1.034), SO2 (IQR = 0.008 ppm, RR = 1.023, 95% CI = 1.004, 1.042), CO (IQR = 0.232 ppm, RR = 1.014, 95% CI = 1.003, 1.025). In the case of ozone (O3) and particulate matter (PM2.5) statistically significant associations were found for daily one-hour maxima values and children’s asthma hospitalization in models that used lagged values for air pollution concentrations. Five-day weighted average lag models resulted in these estimates: O3 (one-hour maxima) (IQR = 0.025 ppm, RR = 1.049, 95% CI = 1.002, 1.098), PM2.5 (one-hour maxima) (IQR = 16.679 μg/m3, RR = 1.055, 95% CI = 1.008, 1.103). In addition, seasonal variations were also explored for PM2.5 and statistically significant associations with daily hospital admissions for asthma were found during the colder months (November-March) of the year. Important differences in pollution effects were found across pollutants, counties, and age groups. The results for PM2.5 suggest that the composition of PM is important to this health outcome, since the major sources of NYC PM differ between winter and summer months.展开更多
Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and c...Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and categorize them into predefined entity types.This process can provide basic support for the automatic construction of knowledge bases.In contrast to general texts,biomedical texts frequently contain numerous nested entities and local dependencies among these entities,presenting significant challenges to prevailing NER models.To address these issues,we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer(RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial vectors.It then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information,effectively addressing the issue of long-distance dependencies.Furthermore,the Global Pointer model is employed to comprehensively recognize all nested entities in the text.We conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline models.This research confirms the effectiveness of RoBGP in Chinese biomedical NER,providing reliable technical support for biomedical information extraction and knowledge base construction.展开更多
Purpose: Cotard’s syndrome, Alice in Wonderland Syndrome, and Catatonia are all rare psychiatric disorders that have relatively little research regarding their treatments. The aim of this article is to highlight any ...Purpose: Cotard’s syndrome, Alice in Wonderland Syndrome, and Catatonia are all rare psychiatric disorders that have relatively little research regarding their treatments. The aim of this article is to highlight any gaps in knowledge regarding represented demographics in these treatment studies, and to discuss the current and upcoming treatment options. Background: This literature review explores under-researched psychiatric conditions: Cotard’s syndrome, Alice in Wonderland syndrome, and Catatonic Schizophrenia. Understanding psychiatric disorders requires basic knowledge of brain anatomy. These conditions are often result of or associated with neurological issues, such as migraines or tumors. The brain has eight lobes, two of four kinds: frontal, parietal, occipital, and temporal lobes, which all govern different functions and abilities. Frontal lobes control judgment, decision-making, personality traits, and fine motor movements. Parietal lobes interpret pain and temperature, occipital lobes handle visual stimuli, and temporal lobes enable hearing. The pre-frontal cortex is associated with high intelligence, psychotic traits, and psychosis. The Broca’s Area in the frontal lobes controls expressive language. These areas and divisions of the brain contribute to the complexity of the psychiatric disorders discussed in this review. Introduction: Cotard’s syndrome is a psychiatric disorder characterized by delusions of being dead or not having certain limbs or organs. It is believed that there is a disconnect between their fusiform face area and the amygdala, causing a lack of familiarity between one’s mind and body. Alice in Wonderland Syndrome (AIWS) is another psychiatric disorder which is characterized by visual hallucinations, such as distorted perceptions of color, size, distance, and speed. The most common symptoms include micropsia and macropsia. Catatonia/Catatonic Schizophrenia is an uncommon type of schizophrenia. This type of schizophrenia is characterized by motor rigidity, verbal rigidity, the flat effect, psychomotor retardation, waxy flexibility, and overall negative symptoms. Thus, these people may come off as emotionally detached, and able to stay frozen in odd positions for periods on end. Treatments and Results: Cotard’s syndrome seemed to be most effectively treated by ECT (electroconvulsive therapy). Alice in Wonderland Syndrome (AIWS) had the highest positive responses to treatment by Valproate (an anti-epileptic drug), as well as intervention to treat the associated neurological conditions they had. Catatonia/Catatonic Schizophrenia seemed to be most effectively treated with a combination of benzodiazepines and ECT. Discussion and Demographics: In all 3 disorders, the Latino and African communities were underrepresented. There also seemed to be an underrepresentation of men in Cotard’s syndrome, and of women in Alice in Wonderland Syndrome. Japan and India seemed to have the highest density of treatment studies in all 3 disorders.展开更多
BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and m...BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical regions.With the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis C.Furthermore,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global impact.While some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender disparities.This gap in knowledge hinders the development of targeted interventions and resource allocation strategies.DISCUSSION The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two decades.Notably,females exhibited a remarkable decrease in mortality compared to males.Regionally,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward trend.Latin America and the Caribbean also experienced an increase in mortality rates.However,no significant difference was observed in the Middle East and North Africa.North America exhibited a notable upward trend.South Asia and Sub-Saharan Africa significantly declined throughout the study period.This raises the hope of identifying areas for implementing more targeted resources.Despite some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24].展开更多
Orthopedic bone plates are most commonly used for bone fracture fixation for more than 100 years.The bone plate design had evolved over time overcoming many challenges such as insufficient strength and excessive plate...Orthopedic bone plates are most commonly used for bone fracture fixation for more than 100 years.The bone plate design had evolved over time overcoming many challenges such as insufficient strength and excessive plate–bone contact affecting the blood circulation.However,it is only made of two materials,either stainless steel(AISI 316L)or titanium(Ti–6Al–4V).There are two main limitations of metallic bone implants,namely stress shielding and the problem of malocclusion caused by the displacement of the fracture site during healing.To overcome the two problems,a new bone plate design with the incorporation of auxetic structures is proposed in this work.This study aims to use auxetic structure section in the bone plate that would decrease the stiffness of the region,thereby mitigating the stress-shielding effect and at the same time act as a deformable section to enable intra-operative bending for effective alignment while having enough bending strength and stiffness.Two different auxetic structures namely re-entrant honeycomb and missing rib structures were considered.The auxetic structure incorporated bone plates were designed,finite element analysis was done,fabricated using direct metal laser sintering technique,and tested.The results indicate that the re-entrant honeycomb structure incorporated bone plates serve as an effective bone design compared to the conventional bone plate design,in terms of stress shielding and intra-operative bending while offering similar mechanical and bending strength.展开更多
The present armamentarium of endoscopic hemostatic therapy for non-variceal upper gastrointestinal hemorrhage includes injection,electrocautery and clips.There are newer endoscopic options such as hemostatic sprays,en...The present armamentarium of endoscopic hemostatic therapy for non-variceal upper gastrointestinal hemorrhage includes injection,electrocautery and clips.There are newer endoscopic options such as hemostatic sprays,endoscopic suturing and modifications of current options including coagulation forceps and over-the-scope clips.Peptic hemorrhage is the most prevalent type of nonvariceal upper gastrointestinal hemorrhage and traditional endoscopic interventions have demonstrated significant hemostasis success.However,the hemostatic success rate is less for other entities such as Dieulafoy’s lesions and bleeding from malignant lesions.Novel innovations such as endoscopic submucosal dissection and peroral endoscopic myotomy has spawned a need for dependable hemostasis.Gastric antral vascular ectasias are associated with chronic gastrointestinal bleeding and usually treated by standard argon plasma coagulation (APC),but newer modalities such as radiofrequency ablation,banding,cryotherapy and hybrid APC have been utilized as well.We will opine on whether the newer hemostatic modalities have generated success when traditional modalities fail and should any of these modalities be routinely available in the endoscopic toolbox.展开更多
Irisin is a polypeptide hormone derived from the proteolytic cleavage of fibronectin-type III domaincontaining 5(FNDC5) protein. Once released to circulation upon exercise or cold exposure, irisin stimulates browning ...Irisin is a polypeptide hormone derived from the proteolytic cleavage of fibronectin-type III domaincontaining 5(FNDC5) protein. Once released to circulation upon exercise or cold exposure, irisin stimulates browning of white adipose tissue(WAT) and uncoupling protein 1(UCP1) expression, leading to an increase in total body energy expenditure by augmented UCP1-mediated thermogenesis. It is currently unknown whether irisin is secreted by bone upon exercise or whether it regulates bone metabolism in vivo. In this study, we found that 2 weeks of voluntary wheel-running exercise induced high levels of FNDC5 messenger RNA as well as FNDC5/irisin protein expression in murine bone tissues. Increased immunoreactivity due to exercise-induced FNDC5/irisin expression was detected in different regions of exercised femoral bones,including growth plate, trabecular bone, cortical bone, articular cartilage, and bone–tendon interface. Exercise also increased expression of osteogenic markers in bone and that of UCP1 in WAT, and led to bodyweight loss. Irisin intraperitoneal(IP) administration resulted in increased trabecular and cortical bone thickness and osteoblasts numbers, and concurrently induced UCP1 expression in subcutaneous WAT. Lentiviral FNDC5 IP administration increased cortical bone thickness. In vitro studies in bone cells revealed irisin increases osteoblastogenesis and mineralization, and inhibits receptor activator of nuclear factor-k B ligand(RANKL)-induced osteoclastogenesis. Taken together, our findings show that voluntary exercise increases irisin production in bone, and that an increase in circulating irisin levels enhances osteogenesis in mice.展开更多
Concussion and other forms of brain injury are not always detectable with conventional means such as radiographic imaging.The lack of accurate diagnostics,biomarkers,and outcome measures has a devastating impact.Indiv...Concussion and other forms of brain injury are not always detectable with conventional means such as radiographic imaging.The lack of accurate diagnostics,biomarkers,and outcome measures has a devastating impact.Individual patients may suffer in obscurity,self-medicate into an addictive spiral,have impaired professional activity,and develop failed interpersonal relationships.展开更多
In the last 25 years, the very existence of carotid artery stenting(CAS) has been threatened on a number of occasions. The initial disappointing results that even lead to the discontinuation of an early randomized con...In the last 25 years, the very existence of carotid artery stenting(CAS) has been threatened on a number of occasions. The initial disappointing results that even lead to the discontinuation of an early randomized controlled trial have improved considerably with time. Novel devices, advanced stent and equipment technology, alternative types of access and several types of filters/emboli protecting devices have been reported to reduce stroke/death rates during/after CAS and improve CAS outcomes. The present review will provide a description of the various technology advances in the field that aim to reduce stroke and death rates associated with CAS. Transcervical access, reversal of flow and mesh-covered stents are currently the most promising tools in the armamentarium of CAS.展开更多
A rigorous model for the electron is presented by generalizing the Coulomb’s Law or Gauss’s Law of electrostatics, using a unified theory of electricity and gravity. The permittivity of the free-space is allowed to ...A rigorous model for the electron is presented by generalizing the Coulomb’s Law or Gauss’s Law of electrostatics, using a unified theory of electricity and gravity. The permittivity of the free-space is allowed to be variable, dependent on the energy density associated with the electric field at a given location, employing generalized concepts of gravity and mass/energy density. The electric field becomes a non-linear function of the source charge, where the concept of the energy density needs to be properly defined. Stable solutions are derived for a spherically symmetric, surface-charge distribution of an elementary charge. This is implemented by assuming that the gravitational field and its equivalent permittivity function is proportional to the energy density, as a simple first-order approximation, with the constant of proportionality, referred to as the Unified Electro-Gravity (UEG) constant. The stable solution with the lowest mass/energy is assumed to represent a “static” electron without any spin. Further, assuming that the mass/energy of a static electron is half of the total mass/energy of an electron including its spin contribution, the required UEG constant is estimated. More fundamentally, the lowest stable mass of a static elementary charged particle, its associated classical radius, and the UEG constant are related to each other by a dimensionless constant, independent of any specific value of the charge or mass of the particle. This dimensionless constant is numerologically found to be closely related to the fine structure constant. This possible origin of the fine structure constant is further strengthened by applying the proposed theory to successfully model the Casimir effect, from which approximately the same above relationship between the UEG constant, electron’s mass and classical radius, and the fine structure constant, emerges.展开更多
The cannabinoid(CB) receptors, endocannabinoids(e CB) and their synthesizing and catabolizing enzymes and the proteins involved in their transport, constitute what is now recognized as the e CB system. The e CBs are a...The cannabinoid(CB) receptors, endocannabinoids(e CB) and their synthesizing and catabolizing enzymes and the proteins involved in their transport, constitute what is now recognized as the e CB system. The e CBs are a class of lipids that have been identified as retrograde messengers and produce their effects via presynaptic CB receptors. The major function of the e CBs has been suggested to be that of modulating the release of several neurotransmitters implicated in a number of biological functions that include reward and reinforcement. There is now significant evidence to suggest that the e CB system plays an important role in the development of alcohol tolerance, dependence and re-lapse. Recent studies suggest that the pharmacological manipulation of the e CB system has the potential not only to block the direct reinforcing properties of alcohol but also alleviate behavioral abnormalities associated with relapse. There is also accumulating evidence that points to the possible utility of the e CB system targeted drugs in the treatment of alcoholismrelated behavioral disorders. The agents that block CB1 receptor function or inhibit the synthesis of e CBs are attractive candidate drugs that need to be explored. Further understanding of the role of the e CB system in molecular mechanism/s that underlies alcoholism-related behaviors should lead to a better treatment of this devastating disorder.展开更多
No, Isaac Newton did not “explain” gravitation. What he did, and this certainly constituted all and by itself a great achievement, was to recognize (to “assert”) the universal character of gravitation: all materia...No, Isaac Newton did not “explain” gravitation. What he did, and this certainly constituted all and by itself a great achievement, was to recognize (to “assert”) the universal character of gravitation: all material objects (bodies) attract each other by gravitation. But how does gravitation perform its deeds? This remained a mystery to Newton. In a “desperate move” at the end of his life, he introduced the concept of “Particles which are moved by certain active Principles [our emphasis]—such as is that of Gravity” he said. We resurrect this scheme, we provide it with a quantum structure—a stunning new insight into the workings of gravitation obtains.展开更多
Fatigue is a state commonly caused by overworked,which seriously affects daily work and life.How to detect mental fatigue has always been a hot spot for researchers to explore.Electroencephalogram(EEG)is considered on...Fatigue is a state commonly caused by overworked,which seriously affects daily work and life.How to detect mental fatigue has always been a hot spot for researchers to explore.Electroencephalogram(EEG)is considered one of the most accurate and objective indicators.This article investigated the devel-opment of classification algorithms applied in EEG-based fatigue detection in recent years.According to the different source of the data,we can divide these classification algorithms into two categories,intra-subject(within the same sub-ject)and cross-subject(across different subjects).In most studies,traditional machine learning algorithms with artificial feature extraction methods were com-monly used for fatigue detection as intra-subject algorithms.Besides,deep learn-ing algorithms have been applied to fatigue detection and could achieve effective result based on large-scale dataset.However,it is difficult to perform long-term calibration training on the subjects in practical applications.With the lack of large samples,transfer learning algorithms as a cross-subject algorithm could promote the practical application of fatigue detection methods.We found that the research based on deep learning and transfer learning has gradually increased in recent years.But as afield with increasing requirements,researchers still need to con-tinue to explore efficient decoding algorithms,design effective experimental para-digms,and collect and accumulate valid standard data,to achieve fast and accurate fatigue detection methods or systems to further widely apply.展开更多
The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much i...The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks,which profoundly impact various fields.This paper mainly discusses the future applications of LLMs in dentistry.We introduce two primary LLM deployment methods in dentistry,including automated dental diagnosis and cross-modal dental diagnosis,and examine their potential applications.Especially,equipped with a cross-modal encoder,a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations.We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application.While LLMs offer significant potential benefits,the challenges,such as data privacy,data quality,and model bias,need further study.Overall,LLMs have the potential to revolutionize dental diagnosis and treatment,which indicates a promising avenue for clinical application and research in dentistry.展开更多
Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated ri...Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated right ventricle or chest abnormalities in d-looped transposition of the great arteries post atrial switch operation(d-TGA/AtS).Methods:Analysis was performed of clinical and cardiac imaging studies acquired on 19 adult patients with d-TGA/AtS(age 42±6 years old,56%male)between 2015–2019.Echocardiography data included mitral apparatus anatomy,and CT/MRI data included biventricular dimensions,function,and Haller index(HI)for pectus deformity.Results:Patients with leaflet SAM(n=6)compared to patients without SAM(n=13)had higher MV protrusion height(2.3±0.5 vs.1.5±0.4 cm,p≤0.01)and longer anterior MV leaflet length(3.1±0.4 cm vs.2.6±0.3 cm p≤0.05),when compared to those without.CT/MRI showed higher sub-pulmonic left ventricular ejection fraction(LVEF)in the SAM group(71%±8%vs.54%±7%,respectively).RV size and function,significant chest deformity(HI>3.5),presence of a ventricular lead pacemaker,and septal thickness did not play a role in development of SAM.Conclusions:An elongated mitral apparatus is associated with the development of SAM,and the development of left ventricular outflow tract obstruction(LVOTO),in d-TGA/AtS.LV hyperkinesia is associated with SAM.Systemic RV dimensions,septal thickness,and degree of chest deformity did not differ significantly between subjects with SAM and those without.展开更多
In this survey article,we present two applications of surface curvatures in theoretical physics.The first application arises from biophysics in the study of the shape of cell vesicles involving the minimization of a m...In this survey article,we present two applications of surface curvatures in theoretical physics.The first application arises from biophysics in the study of the shape of cell vesicles involving the minimization of a mean curvature type energy called the Helfrich bending energy.In this formalism,the equilibrium shape of a cell vesicle may present itself in a rich variety of geometric and topological characteristics.We first show that there is an obstruction,arising from the spontaneous curvature,to the existence of a minimizer of the Helfrich energy over the set of embedded ring tori.We then propose a scale-invariant anisotropic bending energy,which extends the Canham energy,and show that it possesses a unique toroidal energy minimizer,up to rescaling,in all parameter regime.Furthermore,we establish some genus-dependent topological lower and upper bounds,which are known to be lacking with the Helfrich energy,for the proposed energy.We also present the shape equation in our context,which extends the Helfrich shape equation.The second application arises from astrophysics in the search for a mechanism for matter accretion in the early universe in the context of cosmic strings.In this formalism,gravitation may simply be stored over a two-surface so that the Einstein tensor is given in terms of the Gauss curvature of the surface which relates itself directly to the Hamiltonian energy density of the matter sector.This setting provides a lucid exhibition of the interplay of the underlying geometry,matter energy,and topological characterization of the system.In both areas of applications,we encounter highly challenging nonlinear partial differential equation problems.We demonstrate that studies on these equations help us to gain understanding of the theoretical physics problems considered.展开更多
Osteoporosis is prevalent in postmenopausal women.The underlying reason is mainly estrogen deficiency,but recent studies have indicated that osteoporosis is also associated with iron accumulation after menopause.It ha...Osteoporosis is prevalent in postmenopausal women.The underlying reason is mainly estrogen deficiency,but recent studies have indicated that osteoporosis is also associated with iron accumulation after menopause.It has been confirmed that some methods of decreasing iron accumulation can improve the abnormal bone metabolism associated with postmenopausal osteoporosis.However,the mechanism of iron accumulation-induced osteoporosis is still unclear.Iron accumulation may inhibit the canonical Wnt/β-catenin pathway via oxidative stress,leading to osteoporosis by decreasing bone formation and increasing bone resorption via the osteoprotegerin(OPG)/receptor activator of nuclear factor kappa-B ligand(RANKL)/receptor activator of nuclear factor kappa-B(RANK)system.In addition to oxidative stress,iron accumulation also has been reported to inhibit either osteoblastogenesis or osteoblastic function as well as to stimulate either osteoclastogenesis or osteoclastic function directly.Furthermore,serum ferritin has been widely used for the prediction of bone status,and nontraumatic measurement of iron content by magnetic resonance imaging may be a promising early indicator of postmenopausal osteoporosis.展开更多
We investigate the quantum squeezing of matter-wave solitons in atomic Bose-Einstein condensates.By calculating quantum fluctuations of the solitons via solving the Bogoliubov-de Gennes equations,we show that signific...We investigate the quantum squeezing of matter-wave solitons in atomic Bose-Einstein condensates.By calculating quantum fluctuations of the solitons via solving the Bogoliubov-de Gennes equations,we show that significant quantum squeezing can be realized for both bright and dark solitons.We also show that the squeezing efficiency of the solitons can be enhanced and manipulated by atom-atom interaction and soliton blackness.The results reported here are beneficial not only for understanding quantum property of matter-wave solitons,but also for promising applications of Bose-condensed quantum gases.展开更多
Skeletal stem and progenitor cells(SSPCs) perform bone maintenance and repair. With age, they produce fewer osteoblasts and more adipocytes leading to a loss of skeletal integrity. The molecular mechanisms that underl...Skeletal stem and progenitor cells(SSPCs) perform bone maintenance and repair. With age, they produce fewer osteoblasts and more adipocytes leading to a loss of skeletal integrity. The molecular mechanisms that underlie this detrimental transformation are largely unknown. Single-cell RNA sequencing revealed that Notch signaling becomes elevated in SSPCs during aging. To examine the role of increased Notch activity, we deleted Nicastrin, an essential Notch pathway component, in SSPCs in vivo. Middle-aged conditional knockout mice displayed elevated SSPC osteo-lineage gene expression, increased trabecular bone mass, reduced bone marrow adiposity, and enhanced bone repair. Thus, Notch regulates SSPC cell fate decisions, and moderating Notch signaling ameliorates the skeletal aging phenotype, increasing bone mass even beyond that of young mice. Finally, we identified the transcription factor Ebf3 as a downstream mediator of Notch signaling in SSPCs that is dysregulated with aging, highlighting it as a promising therapeutic target to rejuvenate the aged skeleton.展开更多
文摘The majority of big data analytics applied to transportation datasets suffer from being too domain-specific,that is,they draw conclusions for a dataset based on analytics on the same dataset.This makes models trained from one domain(e.g.taxi data)applies badly to a different domain(e.g.Uber data).To achieve accurate analyses on a new domain,substantial amounts of data must be available,which limits practical applications.To remedy this,we propose to use semi-supervised and active learning of big data to accomplish the domain adaptation task:Selectively choosing a small amount of datapoints from a new domain while achieving comparable performances to using all the datapoints.We choose the New York City(NYC)transportation data of taxi and Uber as our dataset,simulating different domains with 90%as the source data domain for training and the remaining 10%as the target data domain for evaluation.We propose semi-supervised and active learning strategies and apply it to the source domain for selecting datapoints.Experimental results show that our adaptation achieves a comparable performance of using all datapoints while using only a fraction of them,substantially reducing the amount of data required.Our approach has two major advantages:It can make accurate analytics and predictions when big datasets are not available,and even if big datasets are available,our approach chooses the most informative datapoints out of the dataset,making the process much more efficient without having to process huge amounts of data.
文摘Air pollution is considered a risk factor for asthma. In this paper, we analyze the association between daily hospital admissions for asthma and ambient air pollution concentrations in four New York City counties. Negative binomial regression is used to model the association between daily asthma hospital admissions and ambient air pollution concentrations. Potential confounding factors such as heat index, day of week, holidays, yearly population changes, and seasonal and long-term trends are controlled for in the models. Nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO) show the most consistent statistically significant associations with daily hospitalizations for asthma during the entire period (1996-2000). The associations are stronger for children (0 - 17 years) than for adults (18 - 64 years). Relative risks (RR) for the inter-quartile range (IQR) of same day 24-hour average pollutant concentration and asthma hospitalizations for children for the four county hospitalization totals were: NO2 (IQR = 0.011 ppm, RR = 1.017, 95% CI = 1.001, 1.034), SO2 (IQR = 0.008 ppm, RR = 1.023, 95% CI = 1.004, 1.042), CO (IQR = 0.232 ppm, RR = 1.014, 95% CI = 1.003, 1.025). In the case of ozone (O3) and particulate matter (PM2.5) statistically significant associations were found for daily one-hour maxima values and children’s asthma hospitalization in models that used lagged values for air pollution concentrations. Five-day weighted average lag models resulted in these estimates: O3 (one-hour maxima) (IQR = 0.025 ppm, RR = 1.049, 95% CI = 1.002, 1.098), PM2.5 (one-hour maxima) (IQR = 16.679 μg/m3, RR = 1.055, 95% CI = 1.008, 1.103). In addition, seasonal variations were also explored for PM2.5 and statistically significant associations with daily hospital admissions for asthma were found during the colder months (November-March) of the year. Important differences in pollution effects were found across pollutants, counties, and age groups. The results for PM2.5 suggest that the composition of PM is important to this health outcome, since the major sources of NYC PM differ between winter and summer months.
基金supported by the Outstanding Youth Team Project of Central Universities(QNTD202308)the Ant Group through CCF-Ant Research Fund(CCF-AFSG 769498 RF20220214).
文摘Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and categorize them into predefined entity types.This process can provide basic support for the automatic construction of knowledge bases.In contrast to general texts,biomedical texts frequently contain numerous nested entities and local dependencies among these entities,presenting significant challenges to prevailing NER models.To address these issues,we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer(RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial vectors.It then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information,effectively addressing the issue of long-distance dependencies.Furthermore,the Global Pointer model is employed to comprehensively recognize all nested entities in the text.We conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline models.This research confirms the effectiveness of RoBGP in Chinese biomedical NER,providing reliable technical support for biomedical information extraction and knowledge base construction.
文摘Purpose: Cotard’s syndrome, Alice in Wonderland Syndrome, and Catatonia are all rare psychiatric disorders that have relatively little research regarding their treatments. The aim of this article is to highlight any gaps in knowledge regarding represented demographics in these treatment studies, and to discuss the current and upcoming treatment options. Background: This literature review explores under-researched psychiatric conditions: Cotard’s syndrome, Alice in Wonderland syndrome, and Catatonic Schizophrenia. Understanding psychiatric disorders requires basic knowledge of brain anatomy. These conditions are often result of or associated with neurological issues, such as migraines or tumors. The brain has eight lobes, two of four kinds: frontal, parietal, occipital, and temporal lobes, which all govern different functions and abilities. Frontal lobes control judgment, decision-making, personality traits, and fine motor movements. Parietal lobes interpret pain and temperature, occipital lobes handle visual stimuli, and temporal lobes enable hearing. The pre-frontal cortex is associated with high intelligence, psychotic traits, and psychosis. The Broca’s Area in the frontal lobes controls expressive language. These areas and divisions of the brain contribute to the complexity of the psychiatric disorders discussed in this review. Introduction: Cotard’s syndrome is a psychiatric disorder characterized by delusions of being dead or not having certain limbs or organs. It is believed that there is a disconnect between their fusiform face area and the amygdala, causing a lack of familiarity between one’s mind and body. Alice in Wonderland Syndrome (AIWS) is another psychiatric disorder which is characterized by visual hallucinations, such as distorted perceptions of color, size, distance, and speed. The most common symptoms include micropsia and macropsia. Catatonia/Catatonic Schizophrenia is an uncommon type of schizophrenia. This type of schizophrenia is characterized by motor rigidity, verbal rigidity, the flat effect, psychomotor retardation, waxy flexibility, and overall negative symptoms. Thus, these people may come off as emotionally detached, and able to stay frozen in odd positions for periods on end. Treatments and Results: Cotard’s syndrome seemed to be most effectively treated by ECT (electroconvulsive therapy). Alice in Wonderland Syndrome (AIWS) had the highest positive responses to treatment by Valproate (an anti-epileptic drug), as well as intervention to treat the associated neurological conditions they had. Catatonia/Catatonic Schizophrenia seemed to be most effectively treated with a combination of benzodiazepines and ECT. Discussion and Demographics: In all 3 disorders, the Latino and African communities were underrepresented. There also seemed to be an underrepresentation of men in Cotard’s syndrome, and of women in Alice in Wonderland Syndrome. Japan and India seemed to have the highest density of treatment studies in all 3 disorders.
基金The present study did not require institutional review board oversight because Global Burden of Disease Study 2019 database is de-identified and freely accessible.It does not identify hospitals,health care providers,or patients.
文摘BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical regions.With the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis C.Furthermore,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global impact.While some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender disparities.This gap in knowledge hinders the development of targeted interventions and resource allocation strategies.DISCUSSION The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two decades.Notably,females exhibited a remarkable decrease in mortality compared to males.Regionally,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward trend.Latin America and the Caribbean also experienced an increase in mortality rates.However,no significant difference was observed in the Middle East and North Africa.North America exhibited a notable upward trend.South Asia and Sub-Saharan Africa significantly declined throughout the study period.This raises the hope of identifying areas for implementing more targeted resources.Despite some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24].
文摘Orthopedic bone plates are most commonly used for bone fracture fixation for more than 100 years.The bone plate design had evolved over time overcoming many challenges such as insufficient strength and excessive plate–bone contact affecting the blood circulation.However,it is only made of two materials,either stainless steel(AISI 316L)or titanium(Ti–6Al–4V).There are two main limitations of metallic bone implants,namely stress shielding and the problem of malocclusion caused by the displacement of the fracture site during healing.To overcome the two problems,a new bone plate design with the incorporation of auxetic structures is proposed in this work.This study aims to use auxetic structure section in the bone plate that would decrease the stiffness of the region,thereby mitigating the stress-shielding effect and at the same time act as a deformable section to enable intra-operative bending for effective alignment while having enough bending strength and stiffness.Two different auxetic structures namely re-entrant honeycomb and missing rib structures were considered.The auxetic structure incorporated bone plates were designed,finite element analysis was done,fabricated using direct metal laser sintering technique,and tested.The results indicate that the re-entrant honeycomb structure incorporated bone plates serve as an effective bone design compared to the conventional bone plate design,in terms of stress shielding and intra-operative bending while offering similar mechanical and bending strength.
文摘The present armamentarium of endoscopic hemostatic therapy for non-variceal upper gastrointestinal hemorrhage includes injection,electrocautery and clips.There are newer endoscopic options such as hemostatic sprays,endoscopic suturing and modifications of current options including coagulation forceps and over-the-scope clips.Peptic hemorrhage is the most prevalent type of nonvariceal upper gastrointestinal hemorrhage and traditional endoscopic interventions have demonstrated significant hemostasis success.However,the hemostatic success rate is less for other entities such as Dieulafoy’s lesions and bleeding from malignant lesions.Novel innovations such as endoscopic submucosal dissection and peroral endoscopic myotomy has spawned a need for dependable hemostasis.Gastric antral vascular ectasias are associated with chronic gastrointestinal bleeding and usually treated by standard argon plasma coagulation (APC),but newer modalities such as radiofrequency ablation,banding,cryotherapy and hybrid APC have been utilized as well.We will opine on whether the newer hemostatic modalities have generated success when traditional modalities fail and should any of these modalities be routinely available in the endoscopic toolbox.
基金supported by a R01DE21464 through the National Institutes of Healthan Innovation in Oral Care Award through International Association for Dental Research and Glaxo Smith Kline Consumer Healthcare+2 种基金an Award through International Team of Implantology to JCby GZUCM Science Fund for Creative Research Groups(2016KYTD10)GZUCM Torch Program(A1-AFD015142Z08)to JZ
文摘Irisin is a polypeptide hormone derived from the proteolytic cleavage of fibronectin-type III domaincontaining 5(FNDC5) protein. Once released to circulation upon exercise or cold exposure, irisin stimulates browning of white adipose tissue(WAT) and uncoupling protein 1(UCP1) expression, leading to an increase in total body energy expenditure by augmented UCP1-mediated thermogenesis. It is currently unknown whether irisin is secreted by bone upon exercise or whether it regulates bone metabolism in vivo. In this study, we found that 2 weeks of voluntary wheel-running exercise induced high levels of FNDC5 messenger RNA as well as FNDC5/irisin protein expression in murine bone tissues. Increased immunoreactivity due to exercise-induced FNDC5/irisin expression was detected in different regions of exercised femoral bones,including growth plate, trabecular bone, cortical bone, articular cartilage, and bone–tendon interface. Exercise also increased expression of osteogenic markers in bone and that of UCP1 in WAT, and led to bodyweight loss. Irisin intraperitoneal(IP) administration resulted in increased trabecular and cortical bone thickness and osteoblasts numbers, and concurrently induced UCP1 expression in subcutaneous WAT. Lentiviral FNDC5 IP administration increased cortical bone thickness. In vitro studies in bone cells revealed irisin increases osteoblastogenesis and mineralization, and inhibits receptor activator of nuclear factor-k B ligand(RANKL)-induced osteoclastogenesis. Taken together, our findings show that voluntary exercise increases irisin production in bone, and that an increase in circulating irisin levels enhances osteogenesis in mice.
文摘Concussion and other forms of brain injury are not always detectable with conventional means such as radiographic imaging.The lack of accurate diagnostics,biomarkers,and outcome measures has a devastating impact.Individual patients may suffer in obscurity,self-medicate into an addictive spiral,have impaired professional activity,and develop failed interpersonal relationships.
文摘In the last 25 years, the very existence of carotid artery stenting(CAS) has been threatened on a number of occasions. The initial disappointing results that even lead to the discontinuation of an early randomized controlled trial have improved considerably with time. Novel devices, advanced stent and equipment technology, alternative types of access and several types of filters/emboli protecting devices have been reported to reduce stroke/death rates during/after CAS and improve CAS outcomes. The present review will provide a description of the various technology advances in the field that aim to reduce stroke and death rates associated with CAS. Transcervical access, reversal of flow and mesh-covered stents are currently the most promising tools in the armamentarium of CAS.
文摘A rigorous model for the electron is presented by generalizing the Coulomb’s Law or Gauss’s Law of electrostatics, using a unified theory of electricity and gravity. The permittivity of the free-space is allowed to be variable, dependent on the energy density associated with the electric field at a given location, employing generalized concepts of gravity and mass/energy density. The electric field becomes a non-linear function of the source charge, where the concept of the energy density needs to be properly defined. Stable solutions are derived for a spherically symmetric, surface-charge distribution of an elementary charge. This is implemented by assuming that the gravitational field and its equivalent permittivity function is proportional to the energy density, as a simple first-order approximation, with the constant of proportionality, referred to as the Unified Electro-Gravity (UEG) constant. The stable solution with the lowest mass/energy is assumed to represent a “static” electron without any spin. Further, assuming that the mass/energy of a static electron is half of the total mass/energy of an electron including its spin contribution, the required UEG constant is estimated. More fundamentally, the lowest stable mass of a static elementary charged particle, its associated classical radius, and the UEG constant are related to each other by a dimensionless constant, independent of any specific value of the charge or mass of the particle. This dimensionless constant is numerologically found to be closely related to the fine structure constant. This possible origin of the fine structure constant is further strengthened by applying the proposed theory to successfully model the Casimir effect, from which approximately the same above relationship between the UEG constant, electron’s mass and classical radius, and the fine structure constant, emerges.
基金Supported by Funds from the National Institute of Health,Bethesda,United StatesAmerican Foundation for SuicidePrevention
文摘The cannabinoid(CB) receptors, endocannabinoids(e CB) and their synthesizing and catabolizing enzymes and the proteins involved in their transport, constitute what is now recognized as the e CB system. The e CBs are a class of lipids that have been identified as retrograde messengers and produce their effects via presynaptic CB receptors. The major function of the e CBs has been suggested to be that of modulating the release of several neurotransmitters implicated in a number of biological functions that include reward and reinforcement. There is now significant evidence to suggest that the e CB system plays an important role in the development of alcohol tolerance, dependence and re-lapse. Recent studies suggest that the pharmacological manipulation of the e CB system has the potential not only to block the direct reinforcing properties of alcohol but also alleviate behavioral abnormalities associated with relapse. There is also accumulating evidence that points to the possible utility of the e CB system targeted drugs in the treatment of alcoholismrelated behavioral disorders. The agents that block CB1 receptor function or inhibit the synthesis of e CBs are attractive candidate drugs that need to be explored. Further understanding of the role of the e CB system in molecular mechanism/s that underlies alcoholism-related behaviors should lead to a better treatment of this devastating disorder.
文摘No, Isaac Newton did not “explain” gravitation. What he did, and this certainly constituted all and by itself a great achievement, was to recognize (to “assert”) the universal character of gravitation: all material objects (bodies) attract each other by gravitation. But how does gravitation perform its deeds? This remained a mystery to Newton. In a “desperate move” at the end of his life, he introduced the concept of “Particles which are moved by certain active Principles [our emphasis]—such as is that of Gravity” he said. We resurrect this scheme, we provide it with a quantum structure—a stunning new insight into the workings of gravitation obtains.
基金funded by the National Natural Science Foundation of China(Grant Nos.61906019,62006082 and 62076103)the Guangdong Basic and Applied Basic Research Foundation(Grant Nos.2021A1515011853,2021A1515011600 and 2020A1515110294)+1 种基金Guangzhou Science and Technology Plan Project(Grant No.202102020877)the Guangzhou Science and Technology Plan Project Key Field R&D Project(202007030005).
文摘Fatigue is a state commonly caused by overworked,which seriously affects daily work and life.How to detect mental fatigue has always been a hot spot for researchers to explore.Electroencephalogram(EEG)is considered one of the most accurate and objective indicators.This article investigated the devel-opment of classification algorithms applied in EEG-based fatigue detection in recent years.According to the different source of the data,we can divide these classification algorithms into two categories,intra-subject(within the same sub-ject)and cross-subject(across different subjects).In most studies,traditional machine learning algorithms with artificial feature extraction methods were com-monly used for fatigue detection as intra-subject algorithms.Besides,deep learn-ing algorithms have been applied to fatigue detection and could achieve effective result based on large-scale dataset.However,it is difficult to perform long-term calibration training on the subjects in practical applications.With the lack of large samples,transfer learning algorithms as a cross-subject algorithm could promote the practical application of fatigue detection methods.We found that the research based on deep learning and transfer learning has gradually increased in recent years.But as afield with increasing requirements,researchers still need to con-tinue to explore efficient decoding algorithms,design effective experimental para-digms,and collect and accumulate valid standard data,to achieve fast and accurate fatigue detection methods or systems to further widely apply.
基金supported by the Research and Development Program,West China Hospital of Stomatology,Sichuan University(RD-02-202107)Sichuan Province Science and Technology Support Program(2022NSFSC0743)Sichuan Postdoctoral Science Foundation(TB2022005)grant to H.Huang.
文摘The ChatGPT,a lite and conversational variant of Generative Pretrained Transformer 4(GPT-4)developed by OpenAI,is one of the milestone Large Language Models(LLMs)with billions of parameters.LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks,which profoundly impact various fields.This paper mainly discusses the future applications of LLMs in dentistry.We introduce two primary LLM deployment methods in dentistry,including automated dental diagnosis and cross-modal dental diagnosis,and examine their potential applications.Especially,equipped with a cross-modal encoder,a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations.We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application.While LLMs offer significant potential benefits,the challenges,such as data privacy,data quality,and model bias,need further study.Overall,LLMs have the potential to revolutionize dental diagnosis and treatment,which indicates a promising avenue for clinical application and research in dentistry.
文摘Introduction:We sought to investigate whether the development of sub-pulmonic systolic anterior motion(SAM)may be inherent to the anatomy of the the mitral valve(MV)or affected by external factors,such as a dilated right ventricle or chest abnormalities in d-looped transposition of the great arteries post atrial switch operation(d-TGA/AtS).Methods:Analysis was performed of clinical and cardiac imaging studies acquired on 19 adult patients with d-TGA/AtS(age 42±6 years old,56%male)between 2015–2019.Echocardiography data included mitral apparatus anatomy,and CT/MRI data included biventricular dimensions,function,and Haller index(HI)for pectus deformity.Results:Patients with leaflet SAM(n=6)compared to patients without SAM(n=13)had higher MV protrusion height(2.3±0.5 vs.1.5±0.4 cm,p≤0.01)and longer anterior MV leaflet length(3.1±0.4 cm vs.2.6±0.3 cm p≤0.05),when compared to those without.CT/MRI showed higher sub-pulmonic left ventricular ejection fraction(LVEF)in the SAM group(71%±8%vs.54%±7%,respectively).RV size and function,significant chest deformity(HI>3.5),presence of a ventricular lead pacemaker,and septal thickness did not play a role in development of SAM.Conclusions:An elongated mitral apparatus is associated with the development of SAM,and the development of left ventricular outflow tract obstruction(LVOTO),in d-TGA/AtS.LV hyperkinesia is associated with SAM.Systemic RV dimensions,septal thickness,and degree of chest deformity did not differ significantly between subjects with SAM and those without.
基金Supported by National Natural Science Foundation of China(Grant No.11471100)。
文摘In this survey article,we present two applications of surface curvatures in theoretical physics.The first application arises from biophysics in the study of the shape of cell vesicles involving the minimization of a mean curvature type energy called the Helfrich bending energy.In this formalism,the equilibrium shape of a cell vesicle may present itself in a rich variety of geometric and topological characteristics.We first show that there is an obstruction,arising from the spontaneous curvature,to the existence of a minimizer of the Helfrich energy over the set of embedded ring tori.We then propose a scale-invariant anisotropic bending energy,which extends the Canham energy,and show that it possesses a unique toroidal energy minimizer,up to rescaling,in all parameter regime.Furthermore,we establish some genus-dependent topological lower and upper bounds,which are known to be lacking with the Helfrich energy,for the proposed energy.We also present the shape equation in our context,which extends the Helfrich shape equation.The second application arises from astrophysics in the search for a mechanism for matter accretion in the early universe in the context of cosmic strings.In this formalism,gravitation may simply be stored over a two-surface so that the Einstein tensor is given in terms of the Gauss curvature of the surface which relates itself directly to the Hamiltonian energy density of the matter sector.This setting provides a lucid exhibition of the interplay of the underlying geometry,matter energy,and topological characterization of the system.In both areas of applications,we encounter highly challenging nonlinear partial differential equation problems.We demonstrate that studies on these equations help us to gain understanding of the theoretical physics problems considered.
基金supported by grants from the National Natural Science Foundation of China(No.81500680,No.81874018)the Youth Elite Program of Jiangsu Province(No.QNRC2016878).
文摘Osteoporosis is prevalent in postmenopausal women.The underlying reason is mainly estrogen deficiency,but recent studies have indicated that osteoporosis is also associated with iron accumulation after menopause.It has been confirmed that some methods of decreasing iron accumulation can improve the abnormal bone metabolism associated with postmenopausal osteoporosis.However,the mechanism of iron accumulation-induced osteoporosis is still unclear.Iron accumulation may inhibit the canonical Wnt/β-catenin pathway via oxidative stress,leading to osteoporosis by decreasing bone formation and increasing bone resorption via the osteoprotegerin(OPG)/receptor activator of nuclear factor kappa-B ligand(RANKL)/receptor activator of nuclear factor kappa-B(RANK)system.In addition to oxidative stress,iron accumulation also has been reported to inhibit either osteoblastogenesis or osteoblastic function as well as to stimulate either osteoclastogenesis or osteoclastic function directly.Furthermore,serum ferritin has been widely used for the prediction of bone status,and nontraumatic measurement of iron content by magnetic resonance imaging may be a promising early indicator of postmenopausal osteoporosis.
基金supported by the National Natural Science Foundation of China(Grant No.11975098)。
文摘We investigate the quantum squeezing of matter-wave solitons in atomic Bose-Einstein condensates.By calculating quantum fluctuations of the solitons via solving the Bogoliubov-de Gennes equations,we show that significant quantum squeezing can be realized for both bright and dark solitons.We also show that the squeezing efficiency of the solitons can be enhanced and manipulated by atom-atom interaction and soliton blackness.The results reported here are beneficial not only for understanding quantum property of matter-wave solitons,but also for promising applications of Bose-condensed quantum gases.
基金supported by a K08AR069099 (P.L.) from the National Institutes of Health/ National Institute of Arthritis and Musculoskeletal and Skinsupported by an R01AG056169 and a gift by the Patricia and Frank Zarb Family+5 种基金supported by an F30AG072834 from the National Institutes of Health/National Institute on Agingfunded through NIH Grant S10OD010751 and the Preclinical Imaging Laboratorypartially supported by the Laura and Isaac Perlmutter Cancer Center Support Grant NIH/NCI 5P30CA016087NIBIB Biomedical Technology Resource Center Grant NIH P41 EB017183supported in part by grant P30CA016087 from the National Institutes of Health/National Cancer Institutepartially supported by the Cancer Center Support Grant P30CA016087 at the Laura and Isaac Perlmutter Cancer Center。
文摘Skeletal stem and progenitor cells(SSPCs) perform bone maintenance and repair. With age, they produce fewer osteoblasts and more adipocytes leading to a loss of skeletal integrity. The molecular mechanisms that underlie this detrimental transformation are largely unknown. Single-cell RNA sequencing revealed that Notch signaling becomes elevated in SSPCs during aging. To examine the role of increased Notch activity, we deleted Nicastrin, an essential Notch pathway component, in SSPCs in vivo. Middle-aged conditional knockout mice displayed elevated SSPC osteo-lineage gene expression, increased trabecular bone mass, reduced bone marrow adiposity, and enhanced bone repair. Thus, Notch regulates SSPC cell fate decisions, and moderating Notch signaling ameliorates the skeletal aging phenotype, increasing bone mass even beyond that of young mice. Finally, we identified the transcription factor Ebf3 as a downstream mediator of Notch signaling in SSPCs that is dysregulated with aging, highlighting it as a promising therapeutic target to rejuvenate the aged skeleton.
