Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com.
Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com.
In this article we commented on an article published recently by Jiao et al.This retrospective study confirmed that the triple therapy of transarterial chemoembolization(TACE)combined with programmed death protein lig...In this article we commented on an article published recently by Jiao et al.This retrospective study confirmed that the triple therapy of transarterial chemoembolization(TACE)combined with programmed death protein ligand 1 inhibitors and molecular targeted therapy can significantly reverse TACE resistance in advanced hepatocellular carcinoma.Compared with TACE alone,the triple therapy reduced the resistance rate from 38.8%to 9.7%and increased the median progression-free survival and median overall survival by 92.3%and 26.8%,respectively.TACE induces tumor antigen release and upregulates programmed death protein ligand 1,activating the effect of immune checkpoint inhibitors while molecular targeted therapy inhibits postembolization vascular regeneration,forming a dynamic synergistic network of embolization-immune activation-vascular inhibition.The maximum tumor diameter,capsule loss,and bilateral distribution were identified as independent predictors.This study provided level I evidence and promoted the transformation of advanced hepatocellular carcinoma treatment from single local intervention to an integrated model of local control-systemic treatment.In the future it will be necessary to analyze the dynamic evolution rules of the tumor microenvironment through crossomics strategies,further explore biomarkers,optimize treatment sequences,and conduct multicenter prospective trials to verify long-term survival benefits and guide the optimization of individualized sequential treatment.展开更多
Recently,Jayabalan et al published an important study.The authors defined the liver outcome score as a novel biomarker for predicting liver-related mortality in patients with autoimmune hepatitis-primary biliary chola...Recently,Jayabalan et al published an important study.The authors defined the liver outcome score as a novel biomarker for predicting liver-related mortality in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome.After thoroughly reviewing their work,we offer insights that primarily relate to their study design to enhance the medical community’s understanding of this complex disease.展开更多
In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mo...In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.展开更多
Recently,we read the article“Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy:A case report and review of the literature”published in the W...Recently,we read the article“Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy:A case report and review of the literature”published in the World Journal of Gastrointestinal Oncology.The prognosis of advanced hepatocellular carcinoma(HCC)is poor,and multidisciplinary comprehensive treatment is currently the main research direction.This case report demonstrated the efficacy of the combination therapy of transcatheter arterial chemoembolization,hepatic arterial infusion chemotherapy,epclusa,lenvatinib and sintilimab for a patient with advanced HCC,and the report can serve as a reference for clinical practice.We would also like to share some of our views.展开更多
Currently,treatment options for infant sensorineural hearing loss(SNHL)are limited.This article describes a novel case of SNHL in an infant successfully treated with foot reflexology,along with observed brain activity...Currently,treatment options for infant sensorineural hearing loss(SNHL)are limited.This article describes a novel case of SNHL in an infant successfully treated with foot reflexology,along with observed brain activity changes before and after treatment,as indicated by functional magnetic resonance imaging.Hence,this commentary discusses the case and our viewpoints regarding foot reflexology for treating SNHL.展开更多
Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target ...Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target sentences,including aspect terms,aspect categories,corresponding opinion terms,and sentiment polarity.However,most existing research has focused on English datasets.Consequently,while ASQP has seen significant progress in English,the Chinese ASQP task has remained relatively stagnant.Drawing inspiration from methods applied to English ASQP,we propose Chinese generation templates and employ prompt-based instruction learning to enhance the model’s understanding of the task,ultimately improving ASQP performance in the Chinese context.Ultimately,under the same pre-training model configuration,our approach achieved a 5.79%improvement in the F1 score compared to the previously leading method.Furthermore,when utilizing a larger model with reduced training parameters,the F1 score demonstrated an 8.14%enhancement.Additionally,we suggest a novel evaluation metric based on the characteristics of generative models,better-reflecting model generalization.Experimental results validate the effectiveness of our approach.展开更多
This letter is intended to arouse your interest in a recent review of comprehensive scientometrics and clinical trials on immunotherapy for gastric cancer(GC).Our study reviews recent advances in immunotherapy in the ...This letter is intended to arouse your interest in a recent review of comprehensive scientometrics and clinical trials on immunotherapy for gastric cancer(GC).Our study reviews recent advances in immunotherapy in the field of GC and highlights its new prospects as a treatment for GC.Our research reveals China’s leadership in this field,as well as new therapeutic strategies such as immune checkpoint inhibitors,cellular immunotherapy,and vaccines.The combined findings highlight the potential of immunotherapy to improve survival and quality of life in patients with stomach cancer.We believe that this study will provide important guidance for the future direction of the GC treatment field.展开更多
The editors of International Journal of Ophthalmology gratefully acknowledge the members of IJO Editorial Board and reviewers from 57 countries and regions who participated in the peer-reviews and provided their valua...The editors of International Journal of Ophthalmology gratefully acknowledge the members of IJO Editorial Board and reviewers from 57 countries and regions who participated in the peer-reviews and provided their valuable comments between Nov.1^(st),2022 and Oct.31^(st),2023.展开更多
BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comm...BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comments on doctor-patient relationship risk events reflects the degree to which the public pays attention to such events.Thirty incidents of doctor-patient disputes were collected from Weibo and TikTok,and 3655 related comments were extracted.The number of comment sentiment words was extracted,and the comment sentiment value was calculated.The Kruskal-Wallis H test was used to compare differences between each variable group at different levels of incidence.Spearman’s correlation analysis was used to examine associations between variables.Regression analysis was used to explore factors influencing scores of comments on incidents.RESULTS The study results showed that public comments on media reports of doctor-patient disputes at all levels are mainly dominated by“good”and“disgust”emotional states.There was a significant difference in the comment scores and the number of partial emotion words between comments on varying levels of severity of doctor-patient disputes.The comment score was positively correlated with the number of emotion words related to positive,good,and happy)and negatively correlated with the number of emotion words related to negative,anger,disgust,fear,and sadness.CONCLUSION The number of emotion words related to negative,anger,disgust,fear,and sadness directly influences comment scores,and the severity of the incident level indirectly influences comment scores.展开更多
This article is a comment on the article by Jia et al,aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation...This article is a comment on the article by Jia et al,aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation.We share our perspectives on this predictive model.First,further differentiation in predicting the severity of gastric retention could enhance clinical outcomes.Second,we ponder whether this predictive model can be generalized to predictions of gastric retention before various endoscopic procedures.Third,large datasets and pro-spective clinical validation are needed to improve the prediction model.展开更多
Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech a...Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech and abusive language. The proposed system employed a multifaceted approach to comment filtering, incorporating the multi-level filter theory. This involved developing a comprehensive list of words representing various types of offensive language, from slang to explicit abuse. Machine learning models were trained to identify abusive messages through sentiment analysis and contextual understanding. The system categorized comments as positive, negative, or abusive using sentiment analysis algorithms. Employing AI technology, it created a dynamic filtering mechanism that adapted to evolving online language and abusive behavior. Integrated with Instagram while adhering to ethical data collection principles, the platform sought to promote a clean and positive user experience, encouraging users to focus on non-abusive communication. Our machine-learned models, trained on a cleaned Arabic language dataset, demonstrated promising accuracy (75.8%) in classifying Arabic comments, potentially reducing abusive content significantly. This advancement aimed to provide users with a clean and positive online experience.展开更多
Classroom evaluation plays a critical role in shaping students’learning experiences,influencing not only their academic performance but also their motivation and engagement.In the context of primary Chinese language ...Classroom evaluation plays a critical role in shaping students’learning experiences,influencing not only their academic performance but also their motivation and engagement.In the context of primary Chinese language learning,oral feedback and written comments are two prevalent evaluation methods.This paper explores how these different types of feedback impact students’motivation,learning outcomes,and participation.By comparing the immediacy of oral feedback with the systematic nature of written comments,this study seeks to provide insights into how educators can utilize classroom evaluations more effectively to foster motivation in Chinese language learners.The findings indicate that both feedback methods have unique strengths,and a balanced approach may optimize learning outcomes.展开更多
对于躯体化障碍，目前有两种诊断标准：一种是美国精神病学学会《精神障碍诊断与统计手册第4版》（Diagnostic and Statistical Manual of Mental Disorders，DSM—IV）”。的诊断标准，一种是《国际疾病分类》第10版（International Cl...对于躯体化障碍，目前有两种诊断标准：一种是美国精神病学学会《精神障碍诊断与统计手册第4版》（Diagnostic and Statistical Manual of Mental Disorders，DSM—IV）”。的诊断标准，一种是《国际疾病分类》第10版（International Classification of Diseases，ICD-10）的诊断要点（笔者按，展开更多
文摘Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com.
文摘Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com.
基金Supported by the National Natural Science Foundation of China,No.82404058Shanghai Municipal Commission of Health and Family Planning,No.2024ZZ2049Beijing Xisike Clinical Oncology Research Foundation,No.Y-HS202401-0011.
文摘In this article we commented on an article published recently by Jiao et al.This retrospective study confirmed that the triple therapy of transarterial chemoembolization(TACE)combined with programmed death protein ligand 1 inhibitors and molecular targeted therapy can significantly reverse TACE resistance in advanced hepatocellular carcinoma.Compared with TACE alone,the triple therapy reduced the resistance rate from 38.8%to 9.7%and increased the median progression-free survival and median overall survival by 92.3%and 26.8%,respectively.TACE induces tumor antigen release and upregulates programmed death protein ligand 1,activating the effect of immune checkpoint inhibitors while molecular targeted therapy inhibits postembolization vascular regeneration,forming a dynamic synergistic network of embolization-immune activation-vascular inhibition.The maximum tumor diameter,capsule loss,and bilateral distribution were identified as independent predictors.This study provided level I evidence and promoted the transformation of advanced hepatocellular carcinoma treatment from single local intervention to an integrated model of local control-systemic treatment.In the future it will be necessary to analyze the dynamic evolution rules of the tumor microenvironment through crossomics strategies,further explore biomarkers,optimize treatment sequences,and conduct multicenter prospective trials to verify long-term survival benefits and guide the optimization of individualized sequential treatment.
基金Supported by The Key Research and Development Project of the Science and Technology Department of Sichuan Province,China,No.2023YFS0280The High-Level Research Initiation Fund of The First Affiliated Hospital of Chengdu Medical College,China,No.CYFY-GQ43.
文摘Recently,Jayabalan et al published an important study.The authors defined the liver outcome score as a novel biomarker for predicting liver-related mortality in patients with autoimmune hepatitis-primary biliary cholangitis overlap syndrome.After thoroughly reviewing their work,we offer insights that primarily relate to their study design to enhance the medical community’s understanding of this complex disease.
文摘In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.
文摘Recently,we read the article“Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy:A case report and review of the literature”published in the World Journal of Gastrointestinal Oncology.The prognosis of advanced hepatocellular carcinoma(HCC)is poor,and multidisciplinary comprehensive treatment is currently the main research direction.This case report demonstrated the efficacy of the combination therapy of transcatheter arterial chemoembolization,hepatic arterial infusion chemotherapy,epclusa,lenvatinib and sintilimab for a patient with advanced HCC,and the report can serve as a reference for clinical practice.We would also like to share some of our views.
文摘Currently,treatment options for infant sensorineural hearing loss(SNHL)are limited.This article describes a novel case of SNHL in an infant successfully treated with foot reflexology,along with observed brain activity changes before and after treatment,as indicated by functional magnetic resonance imaging.Hence,this commentary discusses the case and our viewpoints regarding foot reflexology for treating SNHL.
基金supported by the National Key Research and Development Program(Nos.2021YFF0901705,2021YFF0901700)the State Key Laboratory of Media Convergence and Communication,Communication University of China+1 种基金the Fundamental Research Funds for the Central Universitiesthe High-Quality and Cutting-Edge Disciplines Construction Project for Universities in Beijing(Internet Information,Communication University of China).
文摘Aspect-Based Sentiment Analysis(ABSA)is a fundamental area of research in Natural Language Processing(NLP).Within ABSA,Aspect Sentiment Quad Prediction(ASQP)aims to accurately identify sentiment quadruplets in target sentences,including aspect terms,aspect categories,corresponding opinion terms,and sentiment polarity.However,most existing research has focused on English datasets.Consequently,while ASQP has seen significant progress in English,the Chinese ASQP task has remained relatively stagnant.Drawing inspiration from methods applied to English ASQP,we propose Chinese generation templates and employ prompt-based instruction learning to enhance the model’s understanding of the task,ultimately improving ASQP performance in the Chinese context.Ultimately,under the same pre-training model configuration,our approach achieved a 5.79%improvement in the F1 score compared to the previously leading method.Furthermore,when utilizing a larger model with reduced training parameters,the F1 score demonstrated an 8.14%enhancement.Additionally,we suggest a novel evaluation metric based on the characteristics of generative models,better-reflecting model generalization.Experimental results validate the effectiveness of our approach.
基金the Discipline Promotion Program of Shanghai Fourth People’s Hospital,No.SY-XKZT-2020-1021.
文摘This letter is intended to arouse your interest in a recent review of comprehensive scientometrics and clinical trials on immunotherapy for gastric cancer(GC).Our study reviews recent advances in immunotherapy in the field of GC and highlights its new prospects as a treatment for GC.Our research reveals China’s leadership in this field,as well as new therapeutic strategies such as immune checkpoint inhibitors,cellular immunotherapy,and vaccines.The combined findings highlight the potential of immunotherapy to improve survival and quality of life in patients with stomach cancer.We believe that this study will provide important guidance for the future direction of the GC treatment field.
文摘The editors of International Journal of Ophthalmology gratefully acknowledge the members of IJO Editorial Board and reviewers from 57 countries and regions who participated in the peer-reviews and provided their valuable comments between Nov.1^(st),2022 and Oct.31^(st),2023.
基金Supported by the National Natural Science Foundation of China,No.72374005Natural Science Foundation for the Higher Education Institutions of Anhui Province of China,No.2023AH050561Cultivation Programme for Young and Middle-aged Excellent Teachers in Anhui Province,No.YQZD2023021.
文摘BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comments on doctor-patient relationship risk events reflects the degree to which the public pays attention to such events.Thirty incidents of doctor-patient disputes were collected from Weibo and TikTok,and 3655 related comments were extracted.The number of comment sentiment words was extracted,and the comment sentiment value was calculated.The Kruskal-Wallis H test was used to compare differences between each variable group at different levels of incidence.Spearman’s correlation analysis was used to examine associations between variables.Regression analysis was used to explore factors influencing scores of comments on incidents.RESULTS The study results showed that public comments on media reports of doctor-patient disputes at all levels are mainly dominated by“good”and“disgust”emotional states.There was a significant difference in the comment scores and the number of partial emotion words between comments on varying levels of severity of doctor-patient disputes.The comment score was positively correlated with the number of emotion words related to positive,good,and happy)and negatively correlated with the number of emotion words related to negative,anger,disgust,fear,and sadness.CONCLUSION The number of emotion words related to negative,anger,disgust,fear,and sadness directly influences comment scores,and the severity of the incident level indirectly influences comment scores.
基金Supported by National Natural Science Foundation of China,No.82170675.
文摘This article is a comment on the article by Jia et al,aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation.We share our perspectives on this predictive model.First,further differentiation in predicting the severity of gastric retention could enhance clinical outcomes.Second,we ponder whether this predictive model can be generalized to predictions of gastric retention before various endoscopic procedures.Third,large datasets and pro-spective clinical validation are needed to improve the prediction model.
文摘Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech and abusive language. The proposed system employed a multifaceted approach to comment filtering, incorporating the multi-level filter theory. This involved developing a comprehensive list of words representing various types of offensive language, from slang to explicit abuse. Machine learning models were trained to identify abusive messages through sentiment analysis and contextual understanding. The system categorized comments as positive, negative, or abusive using sentiment analysis algorithms. Employing AI technology, it created a dynamic filtering mechanism that adapted to evolving online language and abusive behavior. Integrated with Instagram while adhering to ethical data collection principles, the platform sought to promote a clean and positive user experience, encouraging users to focus on non-abusive communication. Our machine-learned models, trained on a cleaned Arabic language dataset, demonstrated promising accuracy (75.8%) in classifying Arabic comments, potentially reducing abusive content significantly. This advancement aimed to provide users with a clean and positive online experience.
文摘Classroom evaluation plays a critical role in shaping students’learning experiences,influencing not only their academic performance but also their motivation and engagement.In the context of primary Chinese language learning,oral feedback and written comments are two prevalent evaluation methods.This paper explores how these different types of feedback impact students’motivation,learning outcomes,and participation.By comparing the immediacy of oral feedback with the systematic nature of written comments,this study seeks to provide insights into how educators can utilize classroom evaluations more effectively to foster motivation in Chinese language learners.The findings indicate that both feedback methods have unique strengths,and a balanced approach may optimize learning outcomes.
文摘对于躯体化障碍，目前有两种诊断标准：一种是美国精神病学学会《精神障碍诊断与统计手册第4版》（Diagnostic and Statistical Manual of Mental Disorders，DSM—IV）”。的诊断标准，一种是《国际疾病分类》第10版（International Classification of Diseases，ICD-10）的诊断要点（笔者按，
