Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-mo...Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-motor symptoms also constitute a major part of the overall phenotype.Clinically,this disease cannot be diagnosed reliably until a large part of the vulnerable dopaminergic neurons has been irretrievably lost,and the disease progresses inexorably.New biological criteria for PD have been proposed recently and might eventually improve early diagnosis,but they require further validation,and their use will initially be restricted to a research environment(Darweesh et al.,2024).展开更多
Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disab...Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disability globally.There were 64,000 TBI related deaths reported in the USA in 2020,with about US$76 billion in direct and indirect medical costs annually.展开更多
Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The ...Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.展开更多
Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained promine...Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency.Recently,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault diagnosis.However,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative model.This complexity results in high computational costs and limited industrial applicability.To tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault diagnosis.First,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration signals.Then,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global perspective.Finally,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and Transformer.This study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.展开更多
Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination...Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion.This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence,aiming to provide general guidance on appropriate imaging examination selection,comprehensive and accurate imaging assessment for early orthodontic treatment patients.展开更多
INTRODUCTION.Depressive disorders are mental illnesses that seriously affect public health.There are approximately 320 million patients with depression worldwide,accounting for 4.4% of the total disease burden.1Depres...INTRODUCTION.Depressive disorders are mental illnesses that seriously affect public health.There are approximately 320 million patients with depression worldwide,accounting for 4.4% of the total disease burden.1Depression leads to social and occupational impairment,diminished quality of life and an elevated risk of death by suicide.展开更多
In the process of feeding,broilers are susceptible to leg diseases,which are often caused by factors such as genetics,bacteria,viruses,the growth environment,and diet management.Treating leg disorders/diseases in broi...In the process of feeding,broilers are susceptible to leg diseases,which are often caused by factors such as genetics,bacteria,viruses,the growth environment,and diet management.Treating leg disorders/diseases in broilers is challenging,and once they suffer from such conditions,it generally leads to reduced production performance and affects the quality of meat.It is worth mentioning that with the advancement of intensive management technologies and the accelerated growth rate of broilers,the leg diseases in broilers has increased,resulting in higher culling rates during production.Leg diseases not only cause significant economic losses to the poultry industry,but also severely jeopardize the animal welfare of broilers.Therefore,effective early diagnosis is crucial to mitigate the adverse effects of chicken leg diseases.This study aims to review various diagnostic methods,including clinical diagnosis,autopsy,radiological diagnosis,infrared thermal imagery,biomarkers and emerging diagnostic techniques,to establish a theoretical foundation for the identification or monitoring of leg diseases in poultry industry.展开更多
Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing m...Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing monitoring of patients with cancer.However,several challenges impede the effectiveness of cancer imaging analysis in clinical practice.One difficulty is that healthcare professionals’immense clinical workloads can result in time constraints and increase pressure,thereby hindering their ability to maintain high accuracy and thoroughness in image analysis.Additionally,subjective variability among radiologists can lead to inconsistent interpretations and diagnoses.Because this variability is often influenced by personal biases,standardized assessments are often difficult to achieve.Moreover,the inherent complexity of cancer imaging necessitates extensive clinical experience;this aspect can also be a limiting factor,particularly if expertise or resources are limited.The application of artificial intelligence(AI)can alleviate these problems by enhancing the accuracy,objectivity,and efficiency of cancer imaging analysis while assisting physicians.Therefore,the advancement of AI research is crucial for achieving progress in radiology.展开更多
Gastrointestinal(GI)cancers,which predominantly manifest in the stomach,colorectum,liver,esophagus,and pancreas,accounting for approximately 35%of global cancer-related mortality.The advent of liquid biopsy has introd...Gastrointestinal(GI)cancers,which predominantly manifest in the stomach,colorectum,liver,esophagus,and pancreas,accounting for approximately 35%of global cancer-related mortality.The advent of liquid biopsy has introduced a pivotal diagnostic modality for the early identification of premalignant GI lesions and incipient cancers.This non-invasive technique not only facilitates prompt therapeutic intervention,but also serves as a critical adjunct in prognosticating the likelihood of tumor recurrence.The wealth of circulating exosomes present in body fluids is often enriched with proteins,lipids,microRNAs,and other RNAs derived from tumor cells.These specific cargo components are reflective of processes involved in GI tumorigenesis,tumor progression,and response to treatment.As such,they represent a group of promising biomarkers for aiding in the diagnosis of GI cancer.In this review,we delivered an exhaustive overview of the composition of exosomes and the pathways for cargo sorting within these vesicles.We laid out some of the clinical evidence that supported the utilization of exosomes as diagnostic biomarkers for GI cancers and discussed their potential for clinical application.Furthermore,we addressed the challenges encountered when harnessing exosomes as diagnostic and predictive instruments in the realm of GI cancers.展开更多
BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma me...BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma methylation and circulating tumor cells were detected.METHODS Plasma samples were collected from Hubei Cancer Hospital(n=156).Plasma DNA was tested to detect SHOX2,HOXA9,SEPTIN9,and RASSF1A methylation using TaqMan PCR.Circulating tumor cells(CTCs)were detected in the peripheral blood of patients using the United States Food and Drug Administration-approved cell search system before and after clinical therapy.The CCA diagnostic value was estimated using the area under the curve.The independent prognosis risk factors for patients with CCA were estimated using Cox and logistic regression analyses.RESULTS The sensitivity and specificity of the four DNA plasma methylations exhibited 64.74%sensitivity and 93.88%specificity for detecting CCA.The receiver operating characteristic curve of the combined value for CCA diagnosis in plasma was 0.828±0.032.RASSF1A plasma methylation was related to the prognosis of patients with CCA.We determined the prognostic hazard ratio for CCA using CTC count,tumor stage,methylation,and carbohydrate antigen 19-9 levels as key factors.Our overall survival nomogram achieved a C-index of 0.705(0.605-0.805).CONCLUSION SHOX2,HOXA9,SEPTIN9,and RASSF1A plasma methylation demonstrated increased sensitivity for diagnosing CCA.RASSF1A plasma methylation and CTCs were valuable predictors to assess CCA prognosis and recurrence.展开更多
A 28-year-old pregnant woman with no prior obstetric complications had a normal prenatal workup before 24 weeks'gestation.At 24 weeks,ultrasound revealed gastrointestinal malformations,a persistent left superior v...A 28-year-old pregnant woman with no prior obstetric complications had a normal prenatal workup before 24 weeks'gestation.At 24 weeks,ultrasound revealed gastrointestinal malformations,a persistent left superior vena cava,and polyhydramnios.展开更多
Objective This study reports the first imported case of Lassa fever(LF)in China.Laboratory detection and molecular epidemiological analysis of the Lassa virus(LASV)from this case offer valuable insights for the preven...Objective This study reports the first imported case of Lassa fever(LF)in China.Laboratory detection and molecular epidemiological analysis of the Lassa virus(LASV)from this case offer valuable insights for the prevention and control of LF.Methods Samples of cerebrospinal fluid(CSF),blood,urine,saliva,and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection.Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus.Results LASV was detected in the patient’s CSF,blood,and urine,while all samples from close contacts and the environment tested negative.The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone.The variability in the glycoprotein complex(GPC)among different strains ranged from 3.9%to 15.1%,higher than previously reported for the seven known lineages.Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes,increasing strain diversity and potentially impacting immune response.Conclusion The case was confirmed through nucleotide detection,with no evidence of secondary transmission or viral spread.The LASV strain identified belongs to lineage IV,with broader GPC variability than previously reported.Mutations in the immune-related sites of GPC may affect immune responses,necessitating heightened vigilance regarding the virus.展开更多
As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigat...As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.展开更多
Robustness against measurement uncertainties is crucial for gas turbine engine diagnosis.While current research focuses mainly on measurement noise,measurement bias remains challenging.This study proposes a novel perf...Robustness against measurement uncertainties is crucial for gas turbine engine diagnosis.While current research focuses mainly on measurement noise,measurement bias remains challenging.This study proposes a novel performance-based fault detection and identification(FDI)strategy for twin-shaft turbofan gas turbine engines and addresses these uncertainties through a first-order Takagi-Sugeno-Kang fuzzy inference system.To handle ambient condition changes,we use parameter correction to preprocess the raw measurement data,which reduces the FDI’s system complexity.Additionally,the power-level angle is set as a scheduling parameter to reduce the number of rules in the TSK-based FDI system.The data for designing,training,and testing the proposed FDI strategy are generated using a component-level turbofan engine model.The antecedent and consequent parameters of the TSK-based FDI system are optimized using the particle swarm optimization algorithm and ridge regression.A robust structure combining a specialized fuzzy inference system with the TSK-based FDI system is proposed to handle measurement biases.The performance of the first-order TSK-based FDI system and robust FDI structure are evaluated through comprehensive simulation studies.Comparative studies confirm the superior accuracy of the first-order TSK-based FDI system in fault detection,isolation,and identification.The robust structure demonstrates a 2%-8%improvement in the success rate index under relatively large measurement bias conditions,thereby indicating excellent robustness.Accuracy against significant bias values and computation time are also evaluated,suggesting that the proposed robust structure has desirable online performance.This study proposes a novel FDI strategy that effectively addresses measurement uncertainties.展开更多
In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,hig...In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,highlighted a strong link between early diabetes onset and major eye conditions,such as cataracts,glaucoma,agerelated macular degeneration,and vision loss,independent of glycemic control and disease duration.This finding challenges the previous belief that diabetic eye disease primarily correlates with hyperglycemia.As lifestyles evolve and the age of diabetes diagnosis decreases,understanding this relationship may reveal the complex pathogenesis underlying diabetes-related complications.This editorial summarizes potential mechanisms connecting the age of diabetes onset with four types of ocular diseases,emphasizing the significance of early diagnosis.展开更多
Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the cas...Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the case of a 65-year-old man presenting with rectorrhagia and anal pain, initially diagnosed as hemorrhoidal disease. Subsequent proctological examination revealed an ulcerating-bourging tumor, confirmed histologically as an anorectal melanoma. After a normal extension workup, an abdominoperineal amputation was performed. Anorectal melanoma is a pathology with a poor prognosis, requiring early diagnosis to improve chances of survival.展开更多
Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective to...Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.展开更多
Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastro...Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastrojejunostomy. UGIB is one of the common diseases in the clinical work of gastroenterology. There are many causes that can lead to upper gastrointestinal bleeding, which are mainly divided into two categories: one is non-variceal upper gastrointestinal bleeding (NVUGIB), and the other is variceal upper gastrointestinal bleeding (VUGIB). This article reviews various causes of UGIB and the latest progress in treatment, aiming to improve the efficiency of diagnosis and treatment in future clinical work, and reduce the risk of rebleeding and mortality.展开更多
Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not w...Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not without consequences for the countries concerned. Benin, a country in the Gulf of Guinea, is no exception to this phenomenon because, due to its maritime history, it has a heritage of port structures. These structures, built on its coastline, cause a wide variety of environmental problems such as silting and erosion on either side of them. The general objective of this article is to contribute to the proper functionality of port facilities while minimizing environmental problems that may arise. It aims to provide managers with a tool allowing them to fully understand the state of their assets in order to rationalize maintenance actions. In order to achieve this objective, an assessment of the state of the structure, and then a structural diagnosis are necessary and recommendations can be established to restore the level of service of the latter. As a result, two examples were presented: the wharf of the Sèmè-Podji pipeline project and the maritime piles project of the Wasco de Gama bridge (control project), and recommendations adapted to this objective were established. The comparative analysis of the two examples, both maritime works, revealed an under-sizing at the level of the spans of the wharf bridge of the Sèmè-Podji pipeline project (spans of 7 m in length), while these spans vary on average by 45 m to 62 m for the Wasco da Gama bridge. Bringing the piles closer together at the Sèmè-Podji wharf reduces the energy of the current which promotes the accumulation of sediment. The structure no longer experiences a flow capable of setting in motion the sands accumulated since at least 2022. This element appears to be a fundamental characteristic explaining the erosion observed to the east of the structure.展开更多
Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a tr...Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a trained operator. This antenatal diagnosis can be used to decide whether or not to continue the pregnancy. Cases presentation: Based on the authors’ experience, five (05) cases of conjoined twins were collected over a period of six years (01 January 2018-01 January 2023) in the maternity wards of the Angre’s Teaching Hospital (study location), whose diagnosis was sometimes unexpected in the delivery room. Among the five cases, we described three (03) thoraco-omphalopages and two (02) parapages, with a female predominance of 4/5. None were candidates for separation because they were stillborn or died on the first day of life. Conclusion: This series of cases highlights the different characteristics of conjoined twins and the poor fetal prognosis due to diagnostic difficulties and therapeutic possibilities that are practically non-existent in the African environment.展开更多
文摘Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-motor symptoms also constitute a major part of the overall phenotype.Clinically,this disease cannot be diagnosed reliably until a large part of the vulnerable dopaminergic neurons has been irretrievably lost,and the disease progresses inexorably.New biological criteria for PD have been proposed recently and might eventually improve early diagnosis,but they require further validation,and their use will initially be restricted to a research environment(Darweesh et al.,2024).
文摘Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disability globally.There were 64,000 TBI related deaths reported in the USA in 2020,with about US$76 billion in direct and indirect medical costs annually.
基金supported by the National Natural Science Foundation of China,No.32130060(to XG).
文摘Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.
基金supported by the National Natural Science Foundation of China(No.52277055).
文摘Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency.Recently,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault diagnosis.However,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative model.This complexity results in high computational costs and limited industrial applicability.To tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault diagnosis.First,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration signals.Then,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global perspective.Finally,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and Transformer.This study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.
基金supports by the National Natural Science Foundation of China(Nos.82201135)"2015"Cultivation Program for Reserve Talents for Academic Leaders of Nanjing Stomatological School,Medical School of Nanjing University(No.0223A204).
文摘Early correction of childhood malocclusion is timely managing morphological,structural,and functional abnormalities at different dentomaxillofacial developmental stages.The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion.This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence,aiming to provide general guidance on appropriate imaging examination selection,comprehensive and accurate imaging assessment for early orthodontic treatment patients.
基金funded by the Construction Project of the"Flagship"Department of Chinese and Western Medicine Coordination(LiuL/2024-221)the 2024 Medical Service and Security Capacity Improvement Project(National Clinical Key Specialty Construction)(LiuL/Huwei Medical/2024-65)+5 种基金the Shanghai Traditional Chinese Medicine Standardization Project(LiuL/No.2023JSP03)the Shanghai Key Discipline Construction Project of Traditional Chinese Medicine(Clinical)(LiuL/2024-No.3)the Shanghai Technical Standardization Management and Promotion Project(LiuL/No.SHDC22023212)the Shanghai Municipal Health Commission Traditional Chinese Medicine Research Project(2022)(LiuL/No.2022Cx004)Clinical research project of Shanghai Health Commission-Youth Project(LW/No.20214Y0056)Shanghai Institute of Traditional Chinese Medicine for Mental Health(LW/No.SZB2023201).
文摘INTRODUCTION.Depressive disorders are mental illnesses that seriously affect public health.There are approximately 320 million patients with depression worldwide,accounting for 4.4% of the total disease burden.1Depression leads to social and occupational impairment,diminished quality of life and an elevated risk of death by suicide.
基金supported by the National Natural Science Foundation of China(32202876)the China Postdoctoral Science Foundation(2023T160198)the Key Scientific and Technological Project of Henan Province Department of China(232102111046)。
文摘In the process of feeding,broilers are susceptible to leg diseases,which are often caused by factors such as genetics,bacteria,viruses,the growth environment,and diet management.Treating leg disorders/diseases in broilers is challenging,and once they suffer from such conditions,it generally leads to reduced production performance and affects the quality of meat.It is worth mentioning that with the advancement of intensive management technologies and the accelerated growth rate of broilers,the leg diseases in broilers has increased,resulting in higher culling rates during production.Leg diseases not only cause significant economic losses to the poultry industry,but also severely jeopardize the animal welfare of broilers.Therefore,effective early diagnosis is crucial to mitigate the adverse effects of chicken leg diseases.This study aims to review various diagnostic methods,including clinical diagnosis,autopsy,radiological diagnosis,infrared thermal imagery,biomarkers and emerging diagnostic techniques,to establish a theoretical foundation for the identification or monitoring of leg diseases in poultry industry.
基金funded by grants from the National Natural Science Foundation of China(Grant Nos.82171932 and 82302180)the Ministry of Science and Technology of China(Grant No.2024ZD0520002)+3 种基金the Chinese National Key Research and Development Project(Grant Nos.2021YFC2500402 and 2021YFC2500400)the National Health Commission Capacity Building and Continuing Education Center(Grant No.YXFSC2022JJSJ011)the Tianjin Key Medical Discipline(Specialty)Construction Project(Grant No.TJYXZDXK-010A)the Scientific Developing Foundation of Tianjin Education Commission(Grant No.2024KJ182).
文摘Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing monitoring of patients with cancer.However,several challenges impede the effectiveness of cancer imaging analysis in clinical practice.One difficulty is that healthcare professionals’immense clinical workloads can result in time constraints and increase pressure,thereby hindering their ability to maintain high accuracy and thoroughness in image analysis.Additionally,subjective variability among radiologists can lead to inconsistent interpretations and diagnoses.Because this variability is often influenced by personal biases,standardized assessments are often difficult to achieve.Moreover,the inherent complexity of cancer imaging necessitates extensive clinical experience;this aspect can also be a limiting factor,particularly if expertise or resources are limited.The application of artificial intelligence(AI)can alleviate these problems by enhancing the accuracy,objectivity,and efficiency of cancer imaging analysis while assisting physicians.Therefore,the advancement of AI research is crucial for achieving progress in radiology.
文摘Gastrointestinal(GI)cancers,which predominantly manifest in the stomach,colorectum,liver,esophagus,and pancreas,accounting for approximately 35%of global cancer-related mortality.The advent of liquid biopsy has introduced a pivotal diagnostic modality for the early identification of premalignant GI lesions and incipient cancers.This non-invasive technique not only facilitates prompt therapeutic intervention,but also serves as a critical adjunct in prognosticating the likelihood of tumor recurrence.The wealth of circulating exosomes present in body fluids is often enriched with proteins,lipids,microRNAs,and other RNAs derived from tumor cells.These specific cargo components are reflective of processes involved in GI tumorigenesis,tumor progression,and response to treatment.As such,they represent a group of promising biomarkers for aiding in the diagnosis of GI cancer.In this review,we delivered an exhaustive overview of the composition of exosomes and the pathways for cargo sorting within these vesicles.We laid out some of the clinical evidence that supported the utilization of exosomes as diagnostic biomarkers for GI cancers and discussed their potential for clinical application.Furthermore,we addressed the challenges encountered when harnessing exosomes as diagnostic and predictive instruments in the realm of GI cancers.
基金Supported by the Medical Talents of Wuhan Health and Family Planning Commission,No.2017[51](to Yu J)the Medical Talents of Wuhan Hospital of Traditional Chinese and Western Medicine(to Yu J)+1 种基金the Hubei Natural Science Foundation,No.2023AFB1091Wuhan Medical Research Project,No.WX23A36(to Yu J).
文摘BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma methylation and circulating tumor cells were detected.METHODS Plasma samples were collected from Hubei Cancer Hospital(n=156).Plasma DNA was tested to detect SHOX2,HOXA9,SEPTIN9,and RASSF1A methylation using TaqMan PCR.Circulating tumor cells(CTCs)were detected in the peripheral blood of patients using the United States Food and Drug Administration-approved cell search system before and after clinical therapy.The CCA diagnostic value was estimated using the area under the curve.The independent prognosis risk factors for patients with CCA were estimated using Cox and logistic regression analyses.RESULTS The sensitivity and specificity of the four DNA plasma methylations exhibited 64.74%sensitivity and 93.88%specificity for detecting CCA.The receiver operating characteristic curve of the combined value for CCA diagnosis in plasma was 0.828±0.032.RASSF1A plasma methylation was related to the prognosis of patients with CCA.We determined the prognostic hazard ratio for CCA using CTC count,tumor stage,methylation,and carbohydrate antigen 19-9 levels as key factors.Our overall survival nomogram achieved a C-index of 0.705(0.605-0.805).CONCLUSION SHOX2,HOXA9,SEPTIN9,and RASSF1A plasma methylation demonstrated increased sensitivity for diagnosing CCA.RASSF1A plasma methylation and CTCs were valuable predictors to assess CCA prognosis and recurrence.
基金supported by the Natural Science Foundation of Zhejiang Province(Grant number:LGF22H040003).
文摘A 28-year-old pregnant woman with no prior obstetric complications had a normal prenatal workup before 24 weeks'gestation.At 24 weeks,ultrasound revealed gastrointestinal malformations,a persistent left superior vena cava,and polyhydramnios.
基金supported by Public Health Talent Training and Surport Plan(National Administration of Disease Prevention and Control)Research and application of new technology for rapid monitoring and tracing of emergent infectious diseases among entry-exit population(2024YFFK0056)Monitoring,Early warning and Response of Major Infectious Diseases(2022ZDZX0017).
文摘Objective This study reports the first imported case of Lassa fever(LF)in China.Laboratory detection and molecular epidemiological analysis of the Lassa virus(LASV)from this case offer valuable insights for the prevention and control of LF.Methods Samples of cerebrospinal fluid(CSF),blood,urine,saliva,and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection.Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus.Results LASV was detected in the patient’s CSF,blood,and urine,while all samples from close contacts and the environment tested negative.The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone.The variability in the glycoprotein complex(GPC)among different strains ranged from 3.9%to 15.1%,higher than previously reported for the seven known lineages.Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes,increasing strain diversity and potentially impacting immune response.Conclusion The case was confirmed through nucleotide detection,with no evidence of secondary transmission or viral spread.The LASV strain identified belongs to lineage IV,with broader GPC variability than previously reported.Mutations in the immune-related sites of GPC may affect immune responses,necessitating heightened vigilance regarding the virus.
基金supported by the National Natural Science Foundation of China(22379021 and 22479021)。
文摘As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.
文摘Robustness against measurement uncertainties is crucial for gas turbine engine diagnosis.While current research focuses mainly on measurement noise,measurement bias remains challenging.This study proposes a novel performance-based fault detection and identification(FDI)strategy for twin-shaft turbofan gas turbine engines and addresses these uncertainties through a first-order Takagi-Sugeno-Kang fuzzy inference system.To handle ambient condition changes,we use parameter correction to preprocess the raw measurement data,which reduces the FDI’s system complexity.Additionally,the power-level angle is set as a scheduling parameter to reduce the number of rules in the TSK-based FDI system.The data for designing,training,and testing the proposed FDI strategy are generated using a component-level turbofan engine model.The antecedent and consequent parameters of the TSK-based FDI system are optimized using the particle swarm optimization algorithm and ridge regression.A robust structure combining a specialized fuzzy inference system with the TSK-based FDI system is proposed to handle measurement biases.The performance of the first-order TSK-based FDI system and robust FDI structure are evaluated through comprehensive simulation studies.Comparative studies confirm the superior accuracy of the first-order TSK-based FDI system in fault detection,isolation,and identification.The robust structure demonstrates a 2%-8%improvement in the success rate index under relatively large measurement bias conditions,thereby indicating excellent robustness.Accuracy against significant bias values and computation time are also evaluated,suggesting that the proposed robust structure has desirable online performance.This study proposes a novel FDI strategy that effectively addresses measurement uncertainties.
文摘In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,highlighted a strong link between early diabetes onset and major eye conditions,such as cataracts,glaucoma,agerelated macular degeneration,and vision loss,independent of glycemic control and disease duration.This finding challenges the previous belief that diabetic eye disease primarily correlates with hyperglycemia.As lifestyles evolve and the age of diabetes diagnosis decreases,understanding this relationship may reveal the complex pathogenesis underlying diabetes-related complications.This editorial summarizes potential mechanisms connecting the age of diabetes onset with four types of ocular diseases,emphasizing the significance of early diagnosis.
文摘Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the case of a 65-year-old man presenting with rectorrhagia and anal pain, initially diagnosed as hemorrhoidal disease. Subsequent proctological examination revealed an ulcerating-bourging tumor, confirmed histologically as an anorectal melanoma. After a normal extension workup, an abdominoperineal amputation was performed. Anorectal melanoma is a pathology with a poor prognosis, requiring early diagnosis to improve chances of survival.
文摘Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.
文摘Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastrojejunostomy. UGIB is one of the common diseases in the clinical work of gastroenterology. There are many causes that can lead to upper gastrointestinal bleeding, which are mainly divided into two categories: one is non-variceal upper gastrointestinal bleeding (NVUGIB), and the other is variceal upper gastrointestinal bleeding (VUGIB). This article reviews various causes of UGIB and the latest progress in treatment, aiming to improve the efficiency of diagnosis and treatment in future clinical work, and reduce the risk of rebleeding and mortality.
文摘Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not without consequences for the countries concerned. Benin, a country in the Gulf of Guinea, is no exception to this phenomenon because, due to its maritime history, it has a heritage of port structures. These structures, built on its coastline, cause a wide variety of environmental problems such as silting and erosion on either side of them. The general objective of this article is to contribute to the proper functionality of port facilities while minimizing environmental problems that may arise. It aims to provide managers with a tool allowing them to fully understand the state of their assets in order to rationalize maintenance actions. In order to achieve this objective, an assessment of the state of the structure, and then a structural diagnosis are necessary and recommendations can be established to restore the level of service of the latter. As a result, two examples were presented: the wharf of the Sèmè-Podji pipeline project and the maritime piles project of the Wasco de Gama bridge (control project), and recommendations adapted to this objective were established. The comparative analysis of the two examples, both maritime works, revealed an under-sizing at the level of the spans of the wharf bridge of the Sèmè-Podji pipeline project (spans of 7 m in length), while these spans vary on average by 45 m to 62 m for the Wasco da Gama bridge. Bringing the piles closer together at the Sèmè-Podji wharf reduces the energy of the current which promotes the accumulation of sediment. The structure no longer experiences a flow capable of setting in motion the sands accumulated since at least 2022. This element appears to be a fundamental characteristic explaining the erosion observed to the east of the structure.
文摘Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a trained operator. This antenatal diagnosis can be used to decide whether or not to continue the pregnancy. Cases presentation: Based on the authors’ experience, five (05) cases of conjoined twins were collected over a period of six years (01 January 2018-01 January 2023) in the maternity wards of the Angre’s Teaching Hospital (study location), whose diagnosis was sometimes unexpected in the delivery room. Among the five cases, we described three (03) thoraco-omphalopages and two (02) parapages, with a female predominance of 4/5. None were candidates for separation because they were stillborn or died on the first day of life. Conclusion: This series of cases highlights the different characteristics of conjoined twins and the poor fetal prognosis due to diagnostic difficulties and therapeutic possibilities that are practically non-existent in the African environment.
