Effect of gamete aging on fertilization success of the sea urchin Arbacia dufresnii (Arbacioida: Arbaciidae) / Efecto del envejecimiento de los gametos sobre el éxito en la fecundación del erizo de mar Arbacia dufresnii (Arbacioida: Arbaciidae)

Abstract Introduction: Short-term gametes storage is an inexpensive and simple technique that allows the use of the same batch of eggs or sperm at different times, maximizing the application of research protocols and the use of gametes in production. Arbacia dufresnii is a sea urchin species with proven aquaculture potential and already used in the nutraceutical industry. Aging of its gametes is unknown and is a needed information to scale up the production. Objective: Determine the effect of male and female gamete aging on the fertilization success of Arbacia dufresnii. This will allow optimizing the use of gametes after collection decoupling spawning from fertilization. Methods: A. dufresnii individuals were induced to spawn and gametes were kept at 12 ± 1 °C throughout each bioassay. Sperm was separated into two treatments: activated sperm in seawater (AS), and dry sperm (DS). Two bioassays were made: Bioassay 1 evaluated the effect of time on fertility by performing fertilization tests at 0 h, 24 h, 48 h, 72 h, and 96 h after spawning. Bioassay 2 evaluated the contribution of each type of aged gamete on fertility, combining aged gametes (96 h) with fresh gametes (0 h). Results: Bioassay 1: the fertilization success obtained by combining eggs (E) with AS or DS presented important differences. While the fertilization success remained acceptable (greater than 50 %) for up to 72 h using ExDS, it only remained acceptable for up to 48 h using ExAS. Bioassay 2: acceptable fertilization success was found by combining aged E (96 h) with fresh sperm, or aged DS (96 h) with fresh E, but not using aged AS with fresh E. Conclusions: The findings of this work show that fertilization success in A. dufresnii gametes remains relatively unchanged for up to 48 h after spawning when combining ExAS, and for up to 72 h when combining ExDS. However, when combining aged E or aged DS with a fresh gamete, post-collection fertilization can be extended up to 96 h. In this work, the first steps have been taken to understand the conservation time of A. dufresnii gametes with minimum intervention.

Resumen Introducción: El almacenamiento de gametos a corto plazo es una técnica económica y sencilla que permite utilizar el mismo lote de óvulos o espermatozoides en diferentes momentos, maximizando la aplicación de protocolos de investigación y el uso de gametos en la producción. Arbacia dufresnii es una especie con probado potencial acuícola como fuente de gametos para la industria nutracéutica. Sin embargo, se desconoce el envejecimiento de sus gametos y es una información necesaria para escalar la producción. Objetivo: Determinar el efecto del envejecimiento de los gametos masculinos y femeninos en el éxito de la fecundación de Arbacia dufresnii con el fin de optimizar el aprovechamiento de los gametos después de la recolecta desincronizando el desove de la fecundación. Métodos: Se indujo el desove de individuos de A. dufresnii y los gametos se mantuvieron a 12 ± 1 °C durante cada bioensayo. El esperma se separó en dos tratamientos: esperma activado en agua de mar (AS) y esperma seco (DS). Se realizaron dos bioensayos: El Bioensayo 1 evaluó el efecto del tiempo sobre la fertilidad realizando pruebas de fecundación a las 0 h, 24 h, 48 h, 72 h y 96 h después del desove. El bioensayo 2 evaluó la contribución de cada tipo de gameta envejecida (96 h) sobre la fertilidad, combinando gametos envejecidas (96 h) con gametos frescas (0 h). Resultados: Bioensayo 1: el éxito de fecundación obtenido combinando huevos (E) con AS o DS presentó diferencias importantes. Si bien el éxito de la fecundación se mantuvo aceptable (más del 50 %) durante un máximo de 72 h con ExDS, solo permaneció aceptable hasta 48 h con ExAS. Bioensayo 2: se encontró un éxito de fecundación aceptable combinando E envejecidos (96 h) con esperma fresco, o DS envejecido (96 h) con E fresco (0 h), pero no usando AS envejecido con E fresco (0 h). Conclusiones: Los hallazgos de este trabajo muestran que el éxito de la fecundación en los gametos de A. dufresnii permanece relativamente sin cambios hasta 48 h después del desove cuando se combina ExAS, y hasta 72 h cuando se combina ExDS. Sin embargo, cuando se combina E envejecido o DS envejecido con un gameto fresco, el tiempo entre la recolección y la fecundación puede extenderse hasta 96 h. En este trabajo se han dado los primeros pasos para entender el tiempo de conservación de los gametos de A. dufresnii con mínima intervención.

Automatic detection and classification of disease in citrus fruit and leaves using a customized CNN based model / Detección y clasificación automática de enfermedades en frutas y hojas de cítricos utilizando un modelo basado en CNN personalizado

India's commercial advancement and development depend heavily on agriculture. A common fruit grown in tropical settings is citrus. A professional judgment is required while analyzing an illness because different diseases have slight variati ons in their symptoms. In order to recognize and classify diseases in citrus fruits and leaves, a customized CNN - based approach that links CNN with LSTM was developed in this research. By using a CNN - based method, it is possible to automatically differenti ate from healthier fruits and leaves and those that have diseases such fruit blight, fruit greening, fruit scab, and melanoses. In terms of performance, the proposed approach achieves 96% accuracy, 98% sensitivity, 96% Recall, and an F1 - score of 92% for ci trus fruit and leave identification and classification and the proposed method was compared with KNN, SVM, and CNN and concluded that the proposed CNN - based model is more accurate and effective at identifying illnesses in citrus fruits and leaves.

El avance y desarrollo comercial de India dependen en gran medida de la agricultura. Un tipo de fruta comunmente cultivada en en tornos tropicales es el cítrico. Se requiere un juicio profesional al analizar una enfermedad porque diferentes enfermedades tienen ligeras variaciones en sus síntomas. Para reconocer y clasificar enfermedades en frutas y hojas de cítricos, se desarrolló e n esta investigación un enfoque personalizado basado en CNN que vincula CNN con LSTM. Al utilizar un método basado en CNN, es posible diferenciar automáticamente entre frutas y hojas más saludables y aquellas que tienen enfermedades como la plaga de frutas , el verdor de frutas, la sarna de frutas y las melanosis. En términos de desempeño, el enfoque propuesto alcanza una precisión del 96%, una sensibilidad del 98%, una recuperación del 96% y una puntuación F1 del 92% para la identificación y clasificación d e frutas y hojas de cítricos, y el método propuesto se comparó con KNN, SVM y CNN y se concluyó que el modelo basado en CNN propuesto es más preciso y efectivo para identificar enfermedades en frutas y hojas de cítricos.

Application value of the Status Epilepticus in Pediatric Severity Score and PEDSS in assessing the short-term prognosis of children with status epilepticus / 中华实用儿科临床杂志

Objective:To validate and compare the value of the Status Epilepticus in Pediatric Severity Score (STEPSS) versus PEDSS in assessing the short-term prognosis of children with status epilepticus (SE).Methods:Clinical data of 152 children with SE hospitalized at the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed.According to the STEPSS and PEDSS scores, children with SE were scored and their prognosis was predicted.Receiver operating characteristic (ROC) curves of the 2 scales in assessing the short-term prognosis of SE in children were plotted, and the area under the curve (AUC), optimal cut-off, sensitivity and specificity were calculated, thus validating and comparing the value of the STEPSS versus PEDSS in assessing the short-term prognosis of children with SE.Results:Of the 152 children with SE, 90 were male and 62 were female, with the age of (5.8±3.9) years (1 month to 15 years). There were 112 cases with good prognosis and 40 cases with poor prognosis, involving 13 deaths.The AUC of STEPSS and PEDSS scores in predicting the death in children with SE were 0.908(95% CI: 0.848-0.967) and 0.887(95% CI: 0.831-0.942), respectively, both with the optimal cut-off value of 4.The sensitivity of STEPSS and PEDSS scores in predicting the death in children with SE were 0.740 and 0.846, respectively, and the specificity were 0.745 and 0.835, respectively.There was no significant difference in predicting the death in children with SE between the 2 scales ( P>0.05). In predicting adverse outcomes, the AUC of the STEPSS and PEDSS scores were 0.869(95% CI: 0.800-0.937) and 0.926(95% CI: 0.873-0.979), respectively, both with the optimal cut-off value of 3.The sensitivity of STEPSS and PEDSS scores in predicting adverse outcomes in children with SE were 0.827 and 0.900, respectively, and the specificity were 0.732 and 0.866, respectively.There was significant difference in predicting the adverse outcomes in children with SE between the 2 scales ( P<0.05). Conclusions:Compared with the STEPSS, the PEDSS has a higher application in predicting the short-term treatment outcome of children with SE, which can be used as a routine method to assess the prognosis of children with SE.

Short-term knee function after total knee arthroplasty and related factors / 中国康复理论与实践

ObjectiveTo investigate the short-term knee function recovery of patients undergoing total knee arthroplasty (TKA) after discharge and analyze its related factors. MethodsFrom December, 2022 to April, 2023, 140 adult patients who underwent TKA in Nanjing Drum Tower Hospital and being about to be discharged were selected as the survey subjects using convenient sampling. Potential influencing factors were selected based on a literature review. They were investigated with general information questionnaire, Rehabilitation Exercise Compliance Scale, Self-Efficacy Scale for Rehabilitation Exercise (SER), Visual Analog Scale for pain (VAS), and joint range of motion measurements before discharge, and were investigated with the Hospital for Special Surgery Knee Score (HSS) one month after discharge. ResultsA total of 130 patients finished follow-up. One month after discharge, the HSS score ranged from 40 to 82, with an average of (70.89±6.26). Multiple linear regression analysis revealed that Body Mass Index (B = -0.423, 95%CI -0.622 to -0.224, P < 0.001), pre-discharge VAS (B = -1.016, 95%CI -1.198 to -0.113, P = 0.028), rehabilitation exercise compliance (B = 0.267, 95%CI 0.121 to 0.413, P < 0.001), SER (B = 0.478, 95%CI 0.315 to 0.642, P < 0.001), and knee joint flexion contracture angle (B = -0.251, 95%CI -0.414 to -0.088, P = 0.003) could influence HSS score one month after discharge (R2 = 0.615, F =17.106, P < 0.001). ConclusionPatients after TKA have recovered well in short time after discharge, however, there is still significant room for improvement. Clinical healthcare providers should design and implement appropriate interventions based on related factors to improve the function.

The value of NLR in predicting the efficacy of preoperative nimotuzumab combined with neoadjuvant chemotherapy for local advanced oral squamous cell carcinoma / 口腔疾病防治

Objective@#To investigate the value of the peripheral blood neutrophil to lymphocyte ratio (NLR) before nimotuzumab combined with neoadjuvant chemotherapy in predicting the short-term efficacy of neoadjuvant therapy for advanced oral squamous cell carcinoma (OSCC).@*Methods@#With the approval of the Ethics Committee and the informed consent of the patients, 59 patients with stage Ⅲ and Ⅳ OSCC who were admitted to the Oral and Maxillofacial Surgery Department of the First Hospital of Shanxi Medical University from September 2020 to June 2023 were enrolled. All the patients had complete clinical data, were pathologically diagnosed with squamous cell carcinoma, and received preoperative and received preoperative nimotuzumab + TP (docetaxel + cisplatin) neoadjuvant chemotherapy. The clinical data were analyzed, and the neutrophil and lymphocyte counts in peripheral blood were collected before and after nimotuzumab combined with neoadjuvant chemotherapy. The NLR was calculated, and the threshold value was calculated using the receiver operating characteristic (ROC) curve. Patients were divided into a high NLR group and a low NLR group according to the NLR threshold before nimotuzumab combined with neoadjuvant chemotherapy with TP. The clinical efficacy after nimotuzumab combined with neoadjuvant chemotherapy with TP was evaluated according to the evaluation criteria for solid tumor efficacy, and the correlation between the NLR and recent neoadjuvant therapy efficacy was analyzed. Immunohistochemical staining was used to detect the expression of epidermal growth factor receptor (EGFR) in OSCC tissues before and after nimotuzumab combined with neoadjuvant chemotherapy with TP and to analyze whether the expression of EGFR differed among the different NLR groups.@*Results@#A total of 59 patients with advanced OSCC were included. According to the ROC curve, the NLR threshold was 2.377, and the patients were divided into a <2.377 group (low NLR group), with 24 patients, and a>2.377 group (high NLR group), with 35 patients. The short-term neoadjuvant therapy effect was significantly greater in the lower NLR group than in the higher NLR group (P<0.05); EGFR expression in both the low NLR group and the high NLR group decreased after nimotuzumab combined with neoadjuvant chemotherapy with TP, and the decrease in the low NLR group was significantly greater than that in the high NLR group (P<0.05).@*Conclusion@#A low NLR before nimotuzumab combined with neoadjuvant chemotherapy with TP is associated with better neoadjuvant therapy outcomes, and such patients are more likely to benefit from preoperative nimotuzumab combined with neoadjuvant chemotherapy.

Short-term effectiveness of arthroscopic repair via modified subacromial viewing portal in treatment of Lafosse Ⅰ subscapularis tendon tears / 中国修复重建外科杂志

OBJECTIVE@#To investigate short-term effectiveness of arthroscopic repair via modified subacromial viewing portal (hereinafter referred to as modified viewing portal) in treatment of LafosseⅠsubscapularis tendon tears.@*METHODS@#A clinical data of 52 patients with LafosseⅠsubscapularis tendon tears, who underwent the arthroscopic repair via modified viewing portal between October 2020 and November 2022 and met the selective criteria, was retrospectively analyzed. There were 15 males and 37 females with an average age of 63.4 years (range, 41-76 years). Twelve patients had trauma history and the other 40 patients had no obvious inducement. The main clinical symptom was shoulder pain and the hug resistance tests were positive in all patients. The interval between symptom onset and admission ranged from 3 to 26 months (mean, 7.2 months). The shoulder pain and function were evaluated by visual analogue scale (VAS) score, American Shoulder and Elbow Surgeons (ASES) score, and University of California Los Angeles (UCLA) score before operation and at 12 months after operation. The shoulder range of motion (ROM) of forward flexion, abduction, and external rotation and the internal rotation strength were measured before operation and at 3 and 12 months after operation. MRI was performed at 3-6 months after operation to assess the tendon healing and the structural integrity and tension of reattached tendon. Patient's satisfactions were calculated at last follow-up.@*RESULTS@#All incisions healed by first intention, no complication such as incision infection or nerve injury occurred. All patients were followed up 12-37 months (mean, 18.5 months). The VAS, UCLA, and ASES scores at 12 months after operation significantly improved when compared with those before operation ( P<0.05). The ROMs of abduction and forward flexion and the internal rotation strength at 3 and 12 months significantly improved when compared with those before operation ( P<0.05); and the ROMs at 12 months significantly improved compared to that at 3 months ( P<0.05). However, there was no significant difference ( P>0.05) in the ROM of external rotation at 3 months compared to that before operation; but the ROM at 12 months significantly improved compared to that before operation and at 3 months after operation ( P<0.05). Thirty-one patients underwent MRI at 3-6 months, of which 28 patients possessed intact structural integrity, good tendon tension and tendon healing; 3 patients underwent tendon re-tear. At last follow-up, 41 patients (78.8%) were very satisfied with the effectiveness, 7 were satisfied (13.5%), and 4 were dissatisfied (7.7%).@*CONCLUSION@#Arthroscopic repair via modified viewing portal for Lafosse Ⅰsubscapularis tendon tears, which can achieve the satisfactory visualization and working space, can obtain good short-term effectiveness with low overall re-tear risk.

Short-term clinical of oblique lateral interbody fusion in the treatment of mild-to-moderate of de-generative lumbar spinal stenosis / 中国脊柱脊髓杂志

Objectives:To investigate the short-term efficacy of oblique lateral interbody fusion(OLIF)in treating mild-to-moderate lumbar spinal stenosis(LSS).Methods:35 patients with mild-o-moderate LSS treated with OLIF between May 2018 and May 2020 were analyzed retrospectively,including 25 males and 10 females,aged 50-74(60.3±10.7)years old.The patients were followed up for 12-28(18.3±3.7)months.The operative time,intraoperative bleeding,and complications were recorded;At preoperation,1 week,and 3,6 and 12 months after surgery,the visual analogue scale(VAS)for lumbar and leg pain and Oswestry disability index(ODI)were compared to evaluate clinical efficacy;And lumbar X-ray,CT,and MRI were performed at the same time to measure and evaluate the height of the intervertebral space,size of intervertebral foramen,area of dural sac and sagittal diameter,lordotic angle of intervertebral space,lordotic angle of lumbar spine,and their respective differences between before and after operation,as well as between each postoperative time point were analyzed;The complications and fusion conditions at each time point were also documented.Results:The operative time was 30-100(70.5±20.3)min,and intraoperative bleeding was 20-120(60.3±20.2)mL.The lumbar and leg pain VAS scores and ODI at postoperative 1 week,and 3,6 and 12 months were signif-icantly improved compared with those before operation,and the differences were statistically significant(P＜0.05),while there was no statistical significance when compared pairwisely between postoperative time points(P＞0.05).At postoperative 1 week,and 3,6 and 12 months,the intervertebral space height,intervertebral lor-dotic angle and lumbar lordotic angle,left and right intervertebral foramina sizes,dural sac areas,and sagittal diameters increased significantly compared with those before operation,with statistically significance(P＜0.05),and no statistical difference was found when compared pairwisely between postoperative time points for each imaging parameter(P＞0.05).According to the CT image evaluation 1 year after operation,the overall fusion rate was 94.2％(33/35 cases).No serious complications such as nerve and vascular injury occurred;3 cases of postoperative hip flexion weakness and anterior thigh numbness were relieved after 1 month of symptomatic treatment with conservative therapy;2 cases of fusion device sinking of end-plate cutting were revised in the second stage and underwent posterior muscular gap approach internal fixation.Conclusions:OLIF has satisfactory short-term clinical efficacy in the treatment of mild-to-moderate LSS.

Named entity recognition of eligibility criteria for clinical trials based on BioBERT and BiLSTM / 中国医学物理学杂志

Objective To present a named entity recognition method referred to as BioBERT-Att-BiLSTM-CRF for eligibility criteria based on the BioBERT pretrained model.The method can automatically extract relevant information from clinical trials and provide assistance in efficiently formulating eligibility criteria.Methods Based on the UMLS medical semantic network and expert-defined rules,the study established medical entity annotation rules and constructed a named entity recognition corpus to clarify the entity recognition task.BioBERT-Att-BiLSTM-CRF converted the text into BioBERT vectors and inputted them into a bidirectional long short-term memory network to capture contextual semantic features.Meanwhile,attention mechanisms were applied to extract key features,and a conditional random field was used for decoding and outputting the optimal label sequence.Results BioBERT-Att-BiLSTM-CRF outperformed other baseline models on the eligibility criteria named entity recognition dataset.Conclusion BioBERT-Att-BiLSTM-CRF can efficiently extract eligibility criteria-related information from clinical trials,thereby enhancing the scientific validity of clinical trial registration data and providing assistance in the formulation of eligibility criteria for clinical trials.

Lung sound classification algorithm based on wavelet transform and CNN-LSTM / 中国医学物理学杂志

Objective To establish a hybrid deep learning lung sound classification model based on convolutional neural network(CNN)-long short-term memory(LSTM)for electronic auscultation.Methods Wavelet transform was used to extract features from the dataset,transforming lung sound signals into energy entropy,peak value and other features.On this basis,a classification model based on hybrid algorithm incorporating CNN and LSTM neural network was constructed.The features extracted by wavelet transform were input into CNN module to obtain the spatial features of the data,and then the temporal features were detected through LSTM module.The fusion of the two types of features enabled the classification of lung sounds through the model,thereby assisting in the diagnosis of pulmonary diseases.Results The accuracy rate and F1 score of CNN-LSTM hybrid model were significantly higher than those of other single models,reaching 0.948 and 0.950.Conclusion The proposed CNN-LSTM hybrid model demonstrates higher accuracy and more precise classification,showcasing broad potential application value in intelligent auscultation.

Arrhythmia identification algorithm based on continuous wavelet transform and higher-order statistics / 中国医学物理学杂志

Aiming at the non-stationarity and temporal characteristics of variable-length electrocardiogram(ECG)signals,an arrhythmia identification algorithm is proposed based on continuous wavelet transform and higher-order statistics.Considering the varying number of data points for each sample in variable-length ECG signals,the RR interval interpolation method is employed for data preprocessing,and the signal is decomposed into different time-frequency components using continuous wavelet transform,which enables the network to better extract both temporal and frequency features from the ECG signals.Regarding the issue of insufficient utilization of temporal information,a temporal mining module is introduced based on higher-order statistics and long short-term memory network to capture and learn long-term dependencies in the ECG signals,thereby facilitating the identification and understanding of specific arrhythmia categories.Extensive experiments conducted on the publicly available MIT-BIH ECG database validate the effectiveness and superiority of the proposed method.

Arterial Blood Pressure Wave Signal Reconstruction Using Photoplethysmography by CNN-LSTM Model / 生物化学与生物物理进展

ObjectiveDirect continuous monitoring of arterial blood pressure is invasive and continuous monitoring cannot be achieved by traditional cuffed indirect blood pressure measurement methods. Previously, continuous non-invasive arterial blood pressure monitoring was achieved by using photoplethysmography (PPG), but it is discrete values of systolic and diastolic blood pressures rather than continuous values constructing arterial blood pressure waves. This study aimed to reconstruct arterial blood pressure wave signal based on CNN-LSTM using PPG to achieve continuous non-invasive arterial blood pressure monitoring. MethodsA CNN-LSTM hybrid neural network model was constructed, and the PPG and arterial blood pressure wave synchronized recorded signal data from the Medical Information Mart for Intensive Care (MIMIC) were used. The PPG signals were input to this model after noise reduction, normalization, and sliding window segmentation. The corresponding arterial blood pressure waves were reconstructed from PPG by using the CNN-LSTM hybrid model. ResultsWhen using the CNN-LSTM neural network with a window length of 312, the error between the reconstructed arterial blood pressure values and the actual arterial blood pressure values was minimal: the values of mean absolute error (MAE) and root mean square error (RMSE) were 2.79 mmHg and 4.24 mmHg, respectively, and the cosine similarity is the optimal. The reconstructed arterial blood pressure values were highly correlated with the actual arterial blood pressure values, which met the Association for the Advancement of Medical Instrumentation (AAMI) standards. ConclusionCNN-LSTM hybrid neural network can reconstruct arterial blood pressure wave signal using PPG to achieve continuous non-invasive arterial blood pressure monitoring.

A Delphi survey-based development and validation of cognitive-communication assessment tool for Indian preschoolers

ABSTRACT Purpose To address the need for a standardized assessment tool for assessing cognitive-communication abilities among Indian preschoolers, the current study aimed at describing a Delphi based development and validation process for developing one such tool. The objectives of the research were to conceptualize and construct the tool, validate its content, and assess its feasibility through pilot testing. Methods The study followed a Delphi approach to develop and validate the tool across four phases i.e. conceptualization; construction; content validation; and pilot testing. The first three phases were performed with a panel of six experts including speech-language pathologists and preschool teachers while the pilot testing was done with 20 typically developing preschoolers. A literature review was also conducted with the Delphi rounds to support the developmental process. Results The first two rounds of the Delphi aided in the construction of a culturally and linguistically suitable story-based cognitive-communication assessment tool with the memory (free recall, recognition, and literary recall) and executive function (reasoning, inhibition, and switching) related tasks relevant for preschoolers. The content validation of the tool was continued with the experts till the revisions were satisfactory and yielded an optimum Content Validity Index. The pilot test of the finalized version confirmed its feasibility and appropriateness to assess developmental changes in the cognitive-communication abilities of preschoolers. Conclusion The study describes the Delphi-based conceptualization, construction, content validation, and feasibility check of a tool to assess cognitive-communication skills in preschool children.

Chronic Toxoplasma gondii infection is associated with decreased working memory performance in women / Infecção crônica por Toxoplasma gondii está associada à diminuição de desempenho da memória de trabalho em mulheres

Objective The present study sought to investigate changes in mood, inhibitory control, and working memory associated with T. gondii infection in a sample of Brazilian women. Method Twenty-eight female participants were equally distributed into two groups, according to the serology for chronic infection by T. gondii. The participants answered a Sociodemographic questionnaire, the CES-D, and performed Simon and N-Back tasks. Results Infected participants presented less accuracy and longer response time in N-Back tasks. No significant differences were found in the Simon task performance or in the depression levels. Conclusion Our findings suggest that chronic infection by T. gondii may result in impaired working memory and point out the importance of public policies aiming at preventing this infection.

Objetivo O presente estudo investigou alterações de humor, controle inibitório e memória de trabalho associadas à infecção por T. gondii em uma amostra de mulheres brasileiras. Método Vinte e oito participantes foram distribuídas igualmente em dois grupos de acordo com a sorologia para infecção crônica por T. gondii. As participantes responderam a um questionário sociodemográfico, à CES-D e realizaram as tarefas Simon e N-Back. Resultados As participantes infectadas apresentaram menor acurácia e maior tempo de resposta na tarefa N-Back. Nenhuma diferença significativa foi encontrada na tarefa Simon ou na escala de depressão. Conclusão Nossos achados sugerem que a infecção crônica por T. gondii pode resultar em comprometimento da memória de trabalho, e apontam para a importância de políticas públicas de prevenção dessa infecção.

Acousto-optic stimuli to promote coherent 40-Hz frequency entrainment effect / Estímulos acústico-ópticos para promover efeito de arrastamento de frequência coerente de 40 Hz

Abstract Background Research has shown that a fundamental frequency of 40 Hz in continuous neural oscillation is indicative of normal brain activity; in Alzheimer disease (AD) patients, these oscillations either disappear or are significantly interrupted. Research has also indicated that the degenerative impacts of AD in mice were mitigated by the synchronization of 40-Hz acousto-optic stimulation (AOS). Objective To examine the impact of employing a 40-Hz AOS intervention on the induction of a substantial 40-Hz frequency entrainment and improvement in working memory performance among a sample of young individuals in good health. We conduct an analysis of event-related potentials (ERPs) derived from electroencephalogram (EEG) data following the presentation of AOS. Methods We recruited 20 healthy volunteers (median age: 25 years; 8 female subjects). Following the administration of various stimuli, including no stimuli, 40-Hz AOS, pink noise, and 40Hz acoustic stimuli (AS), the participants were required to complete a working memory task. A total of 62 electrodes were used to record EEG data, which was subsequently analyzed to investigate the impact of AOS on the activity of working memory. We also aimed to determine if AOS lead to a more pronounced 40-Hz frequency entrainment. Results Following the administration of AOS, a notable enhancement in the 40-Hz power of pertinent cerebral areas was observed, accompanied by a substantial improvement in the performance of the subjects on working memory tests subsequent to the stimulation. Conclusion The findings unequivocally establish the efficacy of using AOS to enhance the 40-Hz power and working memory.

Resumo Antecedentes A pesquisa mostrou que uma frequência fundamental de 40 Hz em oscilação neural contínua é indicativa de atividade cerebral normal. Em pacientes com doença de Alzheimer (DA), essas oscilações desaparecem ou são significativamente interrompidas. A pesquisa também indicou que os impactos degenerativos da DA em camundongos foram mitigados pela sincronização da estimulação acústico-óptica (EAO) de 40 Hz. Objetivo Examinar o impacto do emprego de uma intervenção EAO de 40 Hz na indução de um arrastamento substancial de frequência de 40 Hz e na melhoria do desempenho da memória de trabalho entre uma amostra de jovens com boa saúde. Conduzimos uma análise de potenciais relacionados a eventos (PREs) derivados de dados de eletroencefalograma (EEG) após a apresentação de EAO. Métodos Recrutamos 20 voluntários saudáveis (idade média: 25 anos; 8 mulheres). Após a administração de vários estímulos, incluindo nenhum estímulo, EAO de 40 Hz, ruído rosa e estímulos acústicos (EA) de 40 Hz, os participantes foram obrigados a completar uma tarefa de memória de trabalho. Um total de 62 eletrodos foram utilizados para registrar dados de EEG, que foram posteriormente analisados. para investigar o impacto do AOS na atividade da memória de trabalho. Também pretendemos determinar se o AOS leva a um arrastamento de frequência de 40 Hz mais pronunciado. Resultados Após a administração de AOS, foi observado um aumento notável na potência de 40 Hz de áreas cerebrais pertinentes, acompanhado por uma melhoria substancial no desempenho dos sujeitos em testes de memória de trabalho subsequentes à estimulação. Conclusão Os resultados estabelecem inequivocamente a eficácia do uso do AOS para melhorar a potência de 40 Hz e a memória de trabalho.

Off-Pump Coronary Artery Bypass Grafting Surgery : A Narrative Review

Coronary Artery Bypass Grafting (CABG) Surgery is considered the standard treatment for revascularization in Coronary Artery Disease. The Off-Pump Coronary Artery Bypass Graft (OPCAB) which evades the use of Cardiopulmonary Bypass (CPB) became a popular CABG procedure, due to the adverse effect of CPB. Hypothetically, OPCAB may improve the rates of perioperative Myocardial Injury, Neurocognitive Impairment, Stroke and Mortality. However, some studies showed no superior outcomes for OPCAB compared to on-pump CABG. This study aims to evaluate the short-term and long-term outcomes of OPCAB versus On-Pump CABG. The results showed that OPCAB is probably a safe procedure for patients, especially for those with high-risk conditions. OPCAB procedure showed superior short-term outcomes in terms of Myocardial Infarction, Systemic Inflammatory Response, Postoperative Cognitive Dysfunction, Renal Failure, Stroke, Pulmonary Complication, Postoperative Transfusion, Hospital stay length and infection than On-pump CABG. However, regarding long-term outcomes, Off-Pump CABG had a higher rate of incomplete revascularization and repeat revascularization and a higher risk of long-term mortality as well as lower graft patency. Furthermore, the result showed that the higher experience of the surgeons in OPCAB improves the outcome of the Surgery.

Research on migraine time-series features classification based on small-sample functional magnetic resonance imaging data / 生物医学工程学杂志

The extraction of neuroimaging features of migraine patients and the design of identification models are of great significance for the auxiliary diagnosis of related diseases. Compared with the commonly used image features, this study directly uses time-series signals to characterize the functional state of the brain in migraine patients and healthy controls, which can effectively utilize the temporal information and reduce the computational effort of classification model training. Firstly, Group Independent Component Analysis and Dictionary Learning were used to segment different brain areas for small-sample groups and then the regional average time-series signals were extracted. Next, the extracted time series were divided equally into multiple subseries to expand the model input sample. Finally, the time series were modeled using a bi-directional long-short term memory network to learn the pre-and-post temporal information within each time series to characterize the periodic brain state changes to improve the diagnostic accuracy of migraine. The results showed that the classification accuracy of migraine patients and healthy controls was 96.94%, the area under the curve was 0.98, and the computation time was relatively shorter. The experiments indicate that the method in this paper has strong applicability, and the combination of time-series feature extraction and bi-directional long-short term memory network model can be better used for the classification and diagnosis of migraine. This work provides a new idea for the lightweight diagnostic model based on small-sample neuroimaging data, and contributes to the exploration of the neural discrimination mechanism of related diseases.

Construction of an epileptic seizure prediction model using a semi-supervised method of generative adversarial and long short term memory network combined with Stockwell transform / 南方医科大学学报

OBJECTIVE@#To propose a semi-supervised epileptic seizure prediction model (ST-WGAN-GP-Bi-LSTM) to enhance the prediction performance by improving time-frequency analysis of electroencephalogram (EEG) signals, enhancing the stability of the unsupervised feature learning model and improving the design of back-end classifier.@*METHODS@#Stockwell transform (ST) of the epileptic EEG signals was performed to locate the time-frequency information by adaptive adjustment of the resolution and retaining the absolute phase to obtain the time-frequency inputs. When there was no overlap between the generated data distribution and the real EEG data distribution, to avoid failure of feature learning due to a constant JS divergence, Wasserstein GAN was used as a feature learning model, and the cost function based on EM distance and gradient penalty strategy was adopted to constrain the unsupervised training process to allow the generation of a high-order feature extractor. A temporal prediction model was finally constructed based on a bi-directional long short term memory network (Bi-LSTM), and the classification performance was improved by obtaining the temporal correlation between high-order time-frequency features. The CHB-MIT scalp EEG dataset was used to validate the proposed patient-specific seizure prediction method.@*RESULTS@#The AUC, sensitivity, and specificity of the proposed method reached 90.40%, 83.62%, and 86.69%, respectively. Compared with the existing semi-supervised methods, the propose method improved the original performance by 17.77%, 15.41%, and 53.66%. The performance of this method was comparable to that of a supervised prediction model based on CNN.@*CONCLUSION@#The utilization of ST, WGAN-GP, and Bi-LSTM effectively improves the prediction performance of the semi-supervised deep learning model, which can be used for optimization of unsupervised feature extraction in epileptic seizure prediction.

Primary study on recognition of vascular stiffness based on wavelet scattering neural network / 生物医学工程学杂志

Cardiovascular disease is the leading cause of death worldwide, accounting for 48.0% of all deaths in Europe and 34.3% in the United States. Studies have shown that arterial stiffness takes precedence over vascular structural changes and is therefore considered to be an independent predictor of many cardiovascular diseases. At the same time, the characteristics of Korotkoff signal is related to vascular compliance. The purpose of this study is to explore the feasibility of detecting vascular stiffness based on the characteristics of Korotkoff signal. First, the Korotkoff signals of normal and stiff vessels were collected and preprocessed. Then the scattering features of Korotkoff signal were extracted by wavelet scattering network. Next, the long short-term memory (LSTM) network was established as a classification model to classify the normal and stiff vessels according to the scattering features. Finally, the performance of the classification model was evaluated by some parameters, such as accuracy, sensitivity, and specificity. In this study, 97 cases of Korotkoff signal were collected, including 47 cases from normal vessels and 50 cases from stiff vessels, which were divided into training set and test set according to the ratio of 8 : 2. The accuracy, sensitivity and specificity of the final classification model was 86.4%, 92.3% and 77.8%, respectively. At present, non-invasive screening method for vascular stiffness is very limited. The results of this study show that the characteristics of Korotkoff signal are affected by vascular compliance, and it is feasible to use the characteristics of Korotkoff signal to detect vascular stiffness. This study might be providing a new idea for non-invasive detection of vascular stiffness.

Research on mild cognitive impairment diagnosis based on Bayesian optimized long-short-term neural network model / 生物医学工程学杂志

The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.

Automatic sleep staging model based on single channel electroencephalogram signal / 生物医学工程学杂志

Sleep staging is the basis for solving sleep problems. There's an upper limit for the classification accuracy of sleep staging models based on single-channel electroencephalogram (EEG) data and features. To address this problem, this paper proposed an automatic sleep staging model that mixes deep convolutional neural network (DCNN) and bi-directional long short-term memory network (BiLSTM). The model used DCNN to automatically learn the time-frequency domain features of EEG signals, and used BiLSTM to extract the temporal features between the data, fully exploiting the feature information contained in the data to improve the accuracy of automatic sleep staging. At the same time, noise reduction techniques and adaptive synthetic sampling were used to reduce the impact of signal noise and unbalanced data sets on model performance. In this paper, experiments were conducted using the Sleep-European Data Format Database Expanded and the Shanghai Mental Health Center Sleep Database, and achieved an overall accuracy rate of 86.9% and 88.9% respectively. When compared with the basic network model, all the experimental results outperformed the basic network, further demonstrating the validity of this paper's model, which can provide a reference for the construction of a home sleep monitoring system based on single-channel EEG signals.