Alzheimer's disease(AD)is a progressive,irreversible neurodegenerative disorder characterized by gradual brain cell degeneration,leading to progressive decline in cognitive function and ultimately death.Early identification and intervention are critical to AD diagnosis.In recent years,deep learning has further advanced image-based AD classification methods and facilitated the application of deep models in the early AD diagnosis.To achieve accurate early diagnosis and subsequent classification of AD,researchers have integrated deep learning with magnetic resonance imaging to develop more precise models.By analyzing and synthesizing relevant domestic and international literature,this review introduces commonly used public datasets and evaluation criteria for AD,analyzes the application of magnetic resonance imaging in AD classification and its integration with deep learning methods,and highlights the roles of techniques such as convolutional neural networks,transfer learning,attention mechanisms,and multimodal approaches in AD classification.It also discusses the advantages,limitations,and developmental trends of deep learning in AD classification,aiming to provide new insights for the application of deep learning in AD research.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective To observe the effects of acupuncture at"Weizhong"on angiogenesis of chronic blunt injury of lumbar muscle in rats;To explore the possible mechanism of acupuncture in the treatment of chronic lumbar skeletal muscle injury based on PI3K/AKT/HIF-1α signaling pathway.Methods A total of 24 SD male rats were established chronic blunt injury of lumbar muscle model,and were randomly divided into model group,Weizhong group and non-acupoint group,with 8 rats in each group.Another 8 rats of the same age were selected as the blank group.In the Weizhong group,acupuncture intervention was performed on both sides of"Weizhong",while in the non-acupoint group,acupuncture intervention was performed on both sides of"Weizhong"inwardly by 0.5 cm,once a day for 20 minutes each time,for 2 consecutive weeks.The blank group and model group adopted the same grasping fixed posture without any intervention.The body mass and limb grip strength of each group were measured,the lumbar muscle tissue morphology was observed by HE staining,the content of NO in lumbar muscle tissue was detected by ELISA,the expression of VEGF in lumbar muscle tissue was observed by immunofluorescence,the expression of PI3K/AKT/HIF-1α pathway protein in lumbar muscle tissue was detected by Western blot.Results Compared with the blank group,body mass and limb grip strength of model group decreased(P<0.01),cell structure of waist skeletal muscle was loosely arranged,red blood cells and nuclear exudation were observed,NO content and positive expression of VEGF in lumbar muscle tissue decreased(P<0.01),and the protein expressions of p-PI3K/PI3K,p-AKT/AKT and HIF-1α in lumbar muscle tissue were down-regulated(P<0.01).Compared with the model group,the body mass and limb grip strength of rats in Weizhong group increased(P<0.05,P<0.01),the arrangement of skeletal muscle cells in the waist was more compact and orderly,and the content of NO and positive expression of VEGF in lumbar muscle tissue were increased(P<0.01),the protein expressions of p-PI3K/PI3K,p-AKT/AKT and HIF-1α in lumbar muscle tissue were up-regulated(P<0.01).The effects of Weizhong group was better than those in non-acupoint group(P<0.05,P<0.01).Conclusion Acupuncture at"Weizhong"can effectively promote the repair of chronic blunt injury of lumbar muscle in rats.The mechanism may be related to activating the PI3K/AKT/HIF-1α pathway to regulate angiogenesis and improve vascular injury.

This article reported a case of a newborn with congenital absence of the penis. The prenatal examinations were unremarkable. Physical examination of the newborn revealed abnormal external genitalia, with well-developed scrotum and fully descended testicle in normal size, but without the penis. Postnatal ultrasound showed no obvious signals of uterus and ovaries in pelvis and had normal bilateral testicles and urinary system. The diagnosis was congenital absence of the penis.

Fatigue driving is a major cause of traffic accidents,which poses a great threat to public safety and property.In order to reduce the losses caused by fatigue driving,many researchers have devoted themselves to the study about fatigue driving,such as driver behavior monitoring,brainwave monitoring,eye tracking and facial expression analysis.Each of these methods has its own advantages and disadvantages.Behavioral monitoring reflects the fatigue state by analyzing the driver's driving habits and facial expression,which is easy to operate but prone to be affected by the external environment.Brainwave monitoring is more accurate and can detect the fatigue state in real time,but the equipment is complicated and costly,which limits its large-scale application.The detection based on eye-tracking and facial expression analysis also has a certain potential for application,but errors may occur under different light conditions.Herein the review introduces the effects of fatigue on driving ability and compares the research results of various fatigue driving detection methods by searching,collating,analyzing and summarizing the relevant literatures at home and abroad.Various detection methods are analyzed and summarized,and it is pointed out that the fatigue driving detection method based on multi-feature information fusion will become a research hotspot.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Fatigue driving is a major cause of traffic accidents,which poses a great threat to public safety and property.In order to reduce the losses caused by fatigue driving,many researchers have devoted themselves to the study about fatigue driving,such as driver behavior monitoring,brainwave monitoring,eye tracking and facial expression analysis.Each of these methods has its own advantages and disadvantages.Behavioral monitoring reflects the fatigue state by analyzing the driver's driving habits and facial expression,which is easy to operate but prone to be affected by the external environment.Brainwave monitoring is more accurate and can detect the fatigue state in real time,but the equipment is complicated and costly,which limits its large-scale application.The detection based on eye-tracking and facial expression analysis also has a certain potential for application,but errors may occur under different light conditions.Herein the review introduces the effects of fatigue on driving ability and compares the research results of various fatigue driving detection methods by searching,collating,analyzing and summarizing the relevant literatures at home and abroad.Various detection methods are analyzed and summarized,and it is pointed out that the fatigue driving detection method based on multi-feature information fusion will become a research hotspot.

Objective:To explore the current research status, hotspots, and trends of self-advocacy among patients with chronic diseases, and to provide a reference for conducting research on self-advocacy in chronic diseases.Methods:A computer-based search was conducted in the China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, and the Web of Science Core Collection for literature related to self-advocacy among patients with chronic diseases, with the time frame from database inception to October 1, 2024. The CiteSpace 6.3.R1 software was used to perform visual analysis on publication volume, countries, institutions, authors, keywords, and citation status.Results:A total of 721 articles were included in the study. The country with the largest number of publications related to self-advocacy among patients with chronic diseases was the United States. Authors and journals were mainly from the fields of psychology and sociology. Research hotspots mainly included women, cancer, breast cancer, quality of life (health-related quality of life), cancer screening, and individual experiences. Future research trends are expected to focus on influencing factors and theoretical research, impacts on medical decision-making, psychological and social support, as well as the development of scales and assessment tools of self-advocacy.Conclusions:Research on self-advocacy in China started relatively late. It is suggested that in the future, domestic scholars conduct multi-center and large-sample studies on self-advocacy among populations in different regions and with various types of chronic diseases.

Objective:To investigate the current status of clinical nurses' knowledge, attitudes, and practices (KAP) regarding geriatric frailty syndrome in a general hospital and to analyze the influencing factors.Methods:Using convenience sampling, 319 clinical nurses from the First Affiliated Hospital of Wenzhou Medical University, were recruited between May and September 2024. A KAP questionnaire on geriatric frailty syndrome was developed through literature review and the Delphi method. Data were collected with a demographic questionnaire and the KAP questionnaire. Multiple linear regression was performed to identify factors influencing KAP levels.Results:The finalized KAP questionnaire consisted of three dimensions and 27 items. Cronbach's α coefficients for the total scale and the knowledge, attitudes, and practices subscales were 0.974, 0.981, 0.974, and 0.967, respectively. The overall KAP score among 319 nurses was (96.65±20.83). The average scores for each dimension were (4.08±0.82) for attitudes, (3.84±0.84) for practices, and (3.12±1.00) for knowledge. Multiple linear regression indicated that age and positions were respective significantly influenced the total KAP score and attitudes score ( P<0.05) ; frailty-related training was also a significant factor for KAP score and dimension scores ( P<0.05) . Conclusions:Clinical nurses demonstrated a moderate overall KAP level regarding geriatric frailty syndrome, with relatively high attitudes but insufficient professional knowledge. Hospital managers should provide effective education and training for frontline nurses to improve KAP levels and to promote early identification, assessment, and intervention of geriatric frailty.

Objective:To study the effect and mechanism of ganoderma lucidum polysaccharide peptide(GLPP)on renal anti oxidative stress and immune inflammation in diabetes nephropathy mice.Methods:The C57 male mice model of diabetes nephropathy was established by streptozotocin combined with high glucose and high-fat diet.Sixty diabetes nephropathy mice were divided into model group,losartan group,GLPP group(low,medium and high dose groups),GLPP high-dose+losartan group,with 10 mice in each group,10 mice fed with normal diet as the blank group.The losartan group was given 10 mg/kg losartan by gavage,and GLPP low,medium and high dose groups was given 50,100,and 200 mg/kg GLPP by gavage,while the GLPP high-dose+losartan group were given 200 mg/kg GLPP+10 mg/kg losartan by gavage.The blank group and model group were given physiological saline by gavage.After gastric lavage,observe the diet,water intake,renal pathology,structure,and apoptosis of renal tubular epithelial cells in mice,and analyze the levels of blood biochemical indicators,immune inflammation,oxidative stress indicators,and expression of apoptosis/cycle regulatory proteins in mice.Results:Compared with the blank group,the model group showed an increase in blood biochemical indicators such as Scr,BUN,TC,TG and GSP(P<0.05),as well as inflammation indicators such as level of IL-6 and TNF-α、MCP-1 were decreased(P<0.05),the oxidative stress indicator MDA was increased,T-AOC,GSH-PX,SOD were decreased(P<0.05),the apoptosis rate of renal tubular epithelial cells were increased(P<0.05),the expression levels of Bax,Caspase-3,P53,P21 were all increased,and the expression levels of Bcl-2 and Cyclin D1 were decreased(P<0.05).Compared with the model group,the losartan group,GLPP dose groups,GLPP high-dose+losartan group Scr,BUN,TC,TG,GSP,IL-6,TNF-α,MCP-1,MDA levels,apoptosis rate of renal tubular epithelial cells,Bax,Caspase-3,P53,P21 expression levels were all reduced,while T-AOC,SOD,GSH-PX levels,Bcl-2,and Cyclin D1 expression levels were all increased.Renal pathological changes were improved,and mitochondrial swelling was reduced.The GLPP high-dose+losartan group showed the most significant improvement(P<0.05).Conclusion:GLPP can reverse the renal injury in diabetes nephropathy mice,which may be related to the inhibition of apoptosis of renal tubular epithelial cells by alleviating renal oxidative stress and immune inflammatory damage.