[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To explore the mechanism of Cong Rong San on AD model rats based on protein kinase R-like endoplasmic reticulum kinase(PERK)-eukaryotic initiation factor 2α(eIF2α)-nuclear factor kappa B(NF-κB)signaling pathway.Methods Sixty mice were randomly divided into normal group,model group,Cong Rong San groups(4.62,9.24,18.48 g·kg-1)and donepezil group,with 10 mice in each group.All groups of rats received bilateral hippocampal injections of Aβ1-42 to establish the AD model,except the normal group.After the intragastric administration,the Morris water maze behavior test was performed for rats to test-ed the learning and memory abilities.Nissl staining was detected the quantity and Nissl bodies of nerve cells.To detect the nuclear translocation of NF-κB by immu-nofluorescence.To observe the ultrastructure of endo-plasmic reticulum by Transmission electron microsco-py.ELISA for Aβ1-42 and inflammatory cytokines quantification.Western blot was used to detect the ex-pression level of protein in the hippocampus in PERK-eIF2α-NF-κB signaling pathway.Results The morris water maze results showed that Cong Rong San im-proved the escape latency time,increased the number of platform crossings,and prolonged the time spent in the target quadrant in AD rats.(P＜0.05 or P＜0.01).Nissl staining shows the neuronal cells are ar-ranged neatly,nucleus are present and the number of Nissl bodies was numerous and the number of neurons was increased in various doses of Cong Rong San.Im-munofluorescence showed that the expression of NF-κB in the nucleus of rats was decreased(P＜0.05 or P＜0.01).The shape of endoplasmic reticulum was neat,no significantly expanded,and the structure was normal in various doses of Cong Rong San.The levels of Aβ1-42,IL-1,TNF-α and the ratio of p-PERK/PERK,p-eIF2α/eIF2α,p-NF-κB p65/NF-κB p65 in hippo-campus of Cong Rong San group was significantly de-creased in ELISA and Western blot test(P＜0.05 or P＜0.01).Conclusion Cong Rong San can alleviates the immune inflammatory response of neuronal cells in the ERS state for improve the learning and memory a-bility of AD rats,the mechanism of action may through restraint the activation of PERK-eIF2α-NF-κB signa-ling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

To summarize the perioperative nursing experience of a premature infant with ABO hemolytic disease who underwent resection of giant Altman type Ⅰ sacrococcygeal teratoma at 43 hours after birth.Key points of preoperative nursing care include the cooperative blood transfusion to correct anemia,and the protection of tumor body,the prevention of rupture and bleeding.Key points of intraoperative nursing care include the personalized postural safety management,the target-oriented fluid therapy to maintain circulation stability,and composite insulation measures to prevent hypothermia.Key points of postoperative nursing care include sequential fluid replenishment to treat neonatal capillary leakage syndrome;protective ventilation strategies to maintain effective breathing;precision wound care,prevention and control of postoperative infection;progressive mixed feeding;to empower family members and improve the quality of continuous rehabilitation.After careful treatment and nursing care,the patient was discharged 18 days after surgery.During the 7-month follow-up,the growth and development were normal.

Aim To investigate the effects of Congrong San(CRS)on learning and memory ability,hippocam-pal neuronal injury,and ferroptosis in rats with Alzhei-mer's disease(AD)and to explore the related mecha-nisms.Methods AD rat models were established and divided into Sham,Model,CRS low-dose,CRS medium-dose,CRS high-dose,and memantine groups.After treatment,Morris water maze,HE and Nissl staining,transmission electron microscopy,immunofluorescence staining,Western blot,and kit assays were performed to assess learning and memory ability,hippocampal neuro-nal injury,ferroptosis-related indicatorsand glucose reg-ulated protein 78 ku(GRP78)-(proteinkinaseR-li-keERkinase)PERK-(activating transcription factor 4)ATF4 pathway protein expression.Results Com-pared with the model group,rats in the CRS medium-and high-dose groups and the memantine group showed significant improvement in learning and memory abili-ty,reduced hippocampal neuronal injury,increased number of Nissl bodies,and ameliorated endoplasmic reticulum swelling and mitochondrial damage.In addi-tion,the expressions of GRP78,p-PERK/PERK,and ATF4 were downregulated,while GPX4 expression was upregulated in the CRS medium-and high-dose groups and the memantine group.Moreover,MDA content de-creased,and SOD and GSH-PX levels increased in these groups.Conclusions CRS can improve the learning and memory ability in AD rats,reduce hipp-ocampal neuronal injury and ferroptosis,and its mecha-nism may be related to the inhibition of the GRP78-PERK-ATF4 pathway,enhancement of GPX4 expres-sion,and reduction of oxidative stress levels,providing a new approach for the clinical treatment of AD.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To investigate the effects of Congrong San(CRS)on learning and memory ability,hippocam-pal neuronal injury,and ferroptosis in rats with Alzhei-mer's disease(AD)and to explore the related mecha-nisms.Methods AD rat models were established and divided into Sham,Model,CRS low-dose,CRS medium-dose,CRS high-dose,and memantine groups.After treatment,Morris water maze,HE and Nissl staining,transmission electron microscopy,immunofluorescence staining,Western blot,and kit assays were performed to assess learning and memory ability,hippocampal neuro-nal injury,ferroptosis-related indicatorsand glucose reg-ulated protein 78 ku(GRP78)-(proteinkinaseR-li-keERkinase)PERK-(activating transcription factor 4)ATF4 pathway protein expression.Results Com-pared with the model group,rats in the CRS medium-and high-dose groups and the memantine group showed significant improvement in learning and memory abili-ty,reduced hippocampal neuronal injury,increased number of Nissl bodies,and ameliorated endoplasmic reticulum swelling and mitochondrial damage.In addi-tion,the expressions of GRP78,p-PERK/PERK,and ATF4 were downregulated,while GPX4 expression was upregulated in the CRS medium-and high-dose groups and the memantine group.Moreover,MDA content de-creased,and SOD and GSH-PX levels increased in these groups.Conclusions CRS can improve the learning and memory ability in AD rats,reduce hipp-ocampal neuronal injury and ferroptosis,and its mecha-nism may be related to the inhibition of the GRP78-PERK-ATF4 pathway,enhancement of GPX4 expres-sion,and reduction of oxidative stress levels,providing a new approach for the clinical treatment of AD.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To explore the mechanism of Cong Rong San on AD model rats based on protein kinase R-like endoplasmic reticulum kinase(PERK)-eukaryotic initiation factor 2α(eIF2α)-nuclear factor kappa B(NF-κB)signaling pathway.Methods Sixty mice were randomly divided into normal group,model group,Cong Rong San groups(4.62,9.24,18.48 g·kg-1)and donepezil group,with 10 mice in each group.All groups of rats received bilateral hippocampal injections of Aβ1-42 to establish the AD model,except the normal group.After the intragastric administration,the Morris water maze behavior test was performed for rats to test-ed the learning and memory abilities.Nissl staining was detected the quantity and Nissl bodies of nerve cells.To detect the nuclear translocation of NF-κB by immu-nofluorescence.To observe the ultrastructure of endo-plasmic reticulum by Transmission electron microsco-py.ELISA for Aβ1-42 and inflammatory cytokines quantification.Western blot was used to detect the ex-pression level of protein in the hippocampus in PERK-eIF2α-NF-κB signaling pathway.Results The morris water maze results showed that Cong Rong San im-proved the escape latency time,increased the number of platform crossings,and prolonged the time spent in the target quadrant in AD rats.(P＜0.05 or P＜0.01).Nissl staining shows the neuronal cells are ar-ranged neatly,nucleus are present and the number of Nissl bodies was numerous and the number of neurons was increased in various doses of Cong Rong San.Im-munofluorescence showed that the expression of NF-κB in the nucleus of rats was decreased(P＜0.05 or P＜0.01).The shape of endoplasmic reticulum was neat,no significantly expanded,and the structure was normal in various doses of Cong Rong San.The levels of Aβ1-42,IL-1,TNF-α and the ratio of p-PERK/PERK,p-eIF2α/eIF2α,p-NF-κB p65/NF-κB p65 in hippo-campus of Cong Rong San group was significantly de-creased in ELISA and Western blot test(P＜0.05 or P＜0.01).Conclusion Cong Rong San can alleviates the immune inflammatory response of neuronal cells in the ERS state for improve the learning and memory a-bility of AD rats,the mechanism of action may through restraint the activation of PERK-eIF2α-NF-κB signa-ling pathway.