The Proctor's reporting guideline for implementation strategies represents a landmark framework in the field of implementation science, aiming to address the issue of inconsistent reporting in implementation research by standardizing the naming, definition, and operationalization of implementation strategies, thereby enhancing the credibility and utility of research findings. This paper provides an in-depth interpretation of the core connotations of this reporting guideline and illustrates its application in developing interview outlines and specifying implementation strategies, using a brief smoking cessation intervention project as a case study. Through this reporting guideline, abstract recommendations for implementation are systematically transformed into clear, multidimensional operational guides, significantly improving the transparency of strategy connotations and the replicability of actual execution. Meanwhile, the case study highlights the flexibility of the guideline, which allows researchers to adapt the content and format of strategies based on local resources and cultural contexts, thus enhancing practical adaptability while maintaining scientific rigor. However, the application of Proctor's reporting guideline still faces challenges, primarily manifested in the potential confusion surrounding the constructs of temporality and dose in practice, as well as the challenges that the inherent flexibility of the guideline may pose to the assessment of fidelity and effectiveness. Despite these limitations, the reporting guideline remains a vital tool for implementation research; future efforts should focus on optimizing its application—through refining operational guidelines, standardizing flexible adaptations, and involving stakeholders—to better guide implementation studies and continuously promote high-quality development in the field.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective: To explore the impact of personalized early treatment appliances (ETA) on the relationship between dental and maxillofacial structures in patients with ClassⅡ malocclusion during the replacement phase, and to provide a basis for clinical treatment. Methods: This study was reviewed and approved by the Medical Ethics Committee, and informed consent was obtained from patients. From May 2023 to December 2023, 15 patients with Angle ClassⅡ malocclusion accompanied by mandibular retraction and anterior deep overjet during mixed dentition were enrolled in this study (8 males and 7 females; mean age 8.8 years). Each patient received a customized domestically manufactured ETA that was created based on dental arch dimensions, overjet severity, and occlusal relationships assessed from study models. Patients were instructed to wear the appliance for at least 2 hours during the day and throughout the night. The treatment duration was 6 months, at which time the changes in cephalometric data before treatment (T0) and after treatment (T1) were compared using Uceph software Results: The angle between sella, nasion and supramentale point B (SNB) of the patients increased significantly by (1.03 ± 1.74°) compared to before treatment (P = 0.039). The angle between subspinale point A and supramentale point B (ANB), the distance between point A and point B on the FH plane (wits value), the overjet, and the overbite decreased by (0.47 ± 0.61°), (2.48 ± 2.11) mm, (2.48 ± 3.42) mm, and (0.79 ± 1.40) mm, respectively, compared to before treatment, and the differences were statistically significant (P<0.05). The angle between sella, nasion and subspinale point A (SNA), the angle between the FH and MP planes (FMA), the angle between the long axis of the L1 and MP plane (IMPA), the angle between the MP plane and SN plane (MP-SN), the distance from S to Go divided by the distance from N to Me (S-Go/N-Me), and the distance of the FH plane perpendicular from G point to the Pog point (G Vert Pog) increased compared to before treatment, while the angle between the SGn and FH planes (Y-axis) and the angle between the long axis of the L1 and FH plane (FMIA) decreased compared to before treatment, but there was no statistical difference (P>0.05). Conclusion Personalized, customized ETA orthodontic appliances can effectively improve the sagittal and vertical relationships between the maxilla and mandible in patients with ClassⅡ malocclusion.

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.

Objective To explore the application value of serum Syndecan-1 and endocan-1 combined with rapid sequential organ failure(qSOFA)score in the diagnosis and prognosis of sepsis.Methods The severity of 118 patients with sepsis was divided into the general sepsis group(48 cases),the severe sepsis group(42 cases)and the septic shock group(28 cases).According to the prognosis,patients were divided into the death group(n=32)and the survival group(n=86).A total of 118 healthy volunteers were selected as the control group.Serum Syndecan-1 and endocan-1 levels were detected by enzyme-linked immunosorbent assay(ELISA).The value of serum Syndecan-1,endocan-1 and qSOFA scores in the early diagnosis and prognosis of sepsis was analyzed by receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was compared.Results Compared with the control group,levels of Syndecan-1,endocan-1 and qSOFA scores were increased in the study group(P＜0.05).The serum Syndecan-1,endocan-1 and qSOFA score in the general sepsis group,the severe sepsis group and the septic shock group were significantly increased in sequence(P＜0.05).ROC curve analysis showed that the AUC of serum Syndecan-1,endocan-1 and qSOFA score in the diagnosis of sepsis(0.967)were higher than that of Syndecan-1(AUC=0.868),endocan-1(AUC=0.798)and qSOFA score(AUC=0.873)alone(Z=6.541,5.495 and 6.395,P＜0.001).Compared with the survival group,the levels of Syndecan-1,endocan-1 and qSOFA scores were significantly increased in the death group(P＜0.05).The combined prediction of AUC(0.983)was higher than that of Syndecan-1(AUC=0.814),endocan-1(AUC=0.834)and qSOFA score(AUC=0.924)alone(Z=6.596,9.268 and 6.904,P＜0.001).Conclusion Serum levels of Syndecan-1,endocan-1 and qSOFA are increased in patients with sepsis,and the combination of the three has higher clinical value in the diagnosis and prognosis evaluation of sepsis.

The study aims to address the issues of class imbalance in sleep EEG data and gradient vanishing or explosion phenomena that may occur when deep networks extract more features.An improved adaptive synthetic sampling technique is firstly employed to perform data augmentation on the minority classes of sleep EEG data.Subsequently,convolutional neural networks and residual networks are utilized to learn data features,while a 3-layer bidirectional gated recurrent network is applied to explore deep temporal information and establish correlations between different sleep stages,enabling automatic feature learning and sleep cycle extraction.Finally,a multi-head self-attention mechanism is adopted to enhance the model's focus on critical parts of the sequence,thereby completing the classification of various sleep stages.Experimental results show that according to the AASM sleep staging criteria,the automatic sleep staging model integrating CNN-BiGRU and multi-head self attention achieves an overall accuracy of 90.77%and a Kappa coefficient of 0.88 on the Sleep-EDF-20 dataset after data class balancing,with the precision of N1 stage reaching 87.1%.On the Sleep-EDFx dataset,the model attains an MF1 score of 0.84 while maintaining a precision of 77.2%for N1 stage classification.These metrics demonstrate significant improvements in performance as compared with CNN-BiGRU model tested on the original dataset.When benchmarked against other related studies,the proposed architecture exhibits superior sleep stage classification accuracy.These findings collectively validate the effectiveness and generalization capability of the proposed method.

Objective:To explore the effect of integrating open laboratories into Medical Microbiology experimental teaching for students majoring in Medical Laboratory Technology to enhance teaching quality.Methods:A total of 58 students from the grade 2020 majoring in Medical Laboratory Technology at a medical college were selected as the control group,receiving traditional teaching methods without open laboratory contents.A total of 58 students from the grade 2021 majoring in Medical Laboratory Technology were selected as the experimental group,integrating open laboratory contents into Medical Microbiology experimental teaching.The impact of open laboratories on teaching quality in Medical Microbiology experimental teaching was evaluated through analysis of final examination scores and questionnaire surveys.Results:Compared with the control group,the experimental group showed significant improvements in experimental report scores,experimental theory assessment scores,practical skill assessment scores,classroom performance scores,and overall scores(P＜0.01).The learning interest,multi-channel learning,mastery of key concepts,and ability to apply and expand knowledge of the experimental group also significantly improved(P＜0.01).The satisfaction rate of the experimental group in terms of participation level,acquired knowledge,mastered skills,and improved learning outcomes was all above 90%.Conclusion:Integrating open laboratory content into Medical Microbiology experimental teaching for students majoring in Medical Laboratory Technology can effectively stimulate students'engagement,enhance teaching quality,and help students better understand and master professional knowledge.

Objective To investigate the expression levels and diagnostic value of long non coding RNA(lncRNA)DNA damage inducible transcript 4 like protein 4 antisense RNA1(lncRNA DDIT4-AS1)and long chain non coding RNA(lncRNA)radial spoke head protein 9 homolog 4(RSPH9-4)in serum of patients with bacterial meningitis.Methods A total of 94 patients with meningitis in the Fifth Hospital of Deyang City from May 2022 to May 2024 were regarded as the bacterial meningitis group.According to the severity of damage to the central nervous system caused by bacterial meningitis,they were further separated into a general group(n=63)and a severe group(n=31).94 patients with suspected meningitis upon admission but excluded meningitis after examination were selected as the non bacterial meningitis group.A total of 94 patients diagnosed with bacterial meningitis in the Fifth Hospital of Deyang City from May 2022 to May 2024 were selected as the bacterial meningitis group 94 healthy volunteers who underwent physicalexamination were as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)method was applied to detect the expression levels of lncRNA DDIT4-AS1 and lncRNA RSPH9-4 in serum samples of all personnel.Spearman analysis was applied to analyze the correlation between serum levels of lncRNA DDIT4-AS1 and lncRNA RSPH9-4 with the severity of bacterial meningitis.Multivariate Logistic analysis was applied to analyze the influencing factors of bacterial meningitis.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic value of serum lncRNA DDIT4-AS1 and lncRNA RSPH9-4 levels for bacterial meningitis.Results Compared with the control group,the expression levels of serum lncRNA DDIT4-AS1(1.35±0.27,1.67±0.35 vs 1.01±0.18)and lncRNA RSPH9-4(1.30±0.25,1.56±0.32 vs 1.00±0.19)were increased in non bacterial meningitis group and bacterial meningitis group(t=10.159,16.259;9.263,14.589),compared with the non bacterial meningitis group,the expression levels of serum lncRNA DDIT4-AS1 and lncRNA RSPH9-4 in the bacterial meningitis group were increased(t=7.019,6.208),and the differences were statistically significant(all P<0.05),respectively.Compared with the general group,the expression levels of serum lncRNA DDIT4-AS1(1.88±0.38 vs 1.56±0.31)and lncRNA RSPH9-4(1.79±0.35 vs 1.45±0.28)were increased in the severe group,and the differences were statistically significant(t=4.361,5.088,all P＜0.05).Spearman correlation analysis results showed that serum levels of lncRNA DDIT4-AS1,lncRNA RSPH9-4 were positively correlated with the severity of bacterial meningitis(r=0.524,0.548,all P<0.05).The expression levels of PCT,LDH and CRP in patients with bacterial meningitis were higher than those in patients without bacterial meningitis,and the differences were statistically significant(t=7.459,4.234,8.565,all P<0.05).Multivariate Logistic analysis showed that PCT,LDH,CRP,lncRNA DDIT4-AS1 and lncRNA RSPH9-4 were influencing factors for bacterial meningitis(Wald χ2=4.768～12.035,all P＜0.05).The receiver operating characteristic(ROC)curve results showed that the combined diagnosis of serum lncRNA DDIT4-AS1 and lncRNA RSPH9-4 levels for bacterial meningitis had a significantly larger area under the curve(AUC)than the diagnosis of lncRNA DDIT4-AS1 and lncRNA RSPH9-4 alone,and the differences were statistically significant(Z=2.426,2.545,all P<0.05).Conclusion The expression levels of serum lncRNA DDIT4-AS1 and lncRNA RSPH9-4 are elevated in patients with bacterial meningitis,and the combination of the two has high diagnostic value for the disease.

Objective To screen and analyze key genes in rabbit corneal alkali burns based on transcriptomics se-quencing technology and bioinformatics techniques.Methods Thirty healthy male New Zealand rabbits were randomly di-vided into 2 groups(n=15 per group):The control group received no intervention,while the alkali burn group underwent corneal alkali burn modeling.Histological evaluation of corneal tissues was performed via hematoxylin-eosin(HE)stai-ning.Transcriptome sequencing was conducted for library construction and sequencing.Differentially expressed genes(DEGs)were identified using DESeq2,followed by Gene Ontology(GO)functional enrichment analysis and Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway analysis.A protein-protein interaction(PPI)network was constructed to screen hub genes,and RT-PCR was employed to validate mRNA expression levels of key genes.Results HE staining revealed orderly arranged corneal stromal layers and scattered stromal cells in the control group,whereas the alkali burn group exhibited stromal edema,thickened collagen fibers with loose/disorganized alignment,and increased fibroblast and inflammatory cell infiltration.Compared to the control group,1 827 significant DEGs were identified in the alkali burn group,including 1 495 upregulated and 332 downregulated genes.GO analysis showed biological processes such as immune response,plasma membrane,and identical protein binding.KEGG analysis indicated that DEGs were enriched in pathways related to cancer,lipid and atherosclerosis,and neuroactive ligand-receptor interaction.The PPI network screened 11 key genes:neutrophil cytosolic factor 1(NCF1),neutrophil cytosolic factor 2(NCF2),matrix metallopeptidase 2(MMP2),ma-trix metallopeptidase 9(MMP9),interleukin-1α(IL-1α),interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-8(CXCL8),cluster of differentiation 4(CD4),C-C motif ligand 2(CCL2)and tumor necrosis factor(TNF).RT-PCR valida-tion revealed that the mRNA expression levels of key genes in the corneal tissues of the alkali burn group were significantly higher than those in the control group(all P＜0.05),consistent with the transcriptomic sequencing results.Conclusion Based on the rabbit corneal alkali burn model,this study identified 11 key genes(NCF1,NCF2,MMP2,MMP9,IL-1α,IL-1β,IL-6,CXCL8,CD4,CCL2 and TNF)through transcriptomics and bioinformatics analysis.