Commenting On "The Secret Life of Walter Mitty"

'The Secret Life of Walter Mitty'is written by James Thurber, who is the best known humorist in modern times. Thurber is famous both for his writing and his cartoon.Many critics consider him the finest American humorist since Mark Twain and like Twain, his humor takes the form of ironic satire.

Turning Hostility into Friendship——Commenting on Conception of the Film "Purple Sunset

On August 9, 1945, the Red Army of the Soviet Union declared a war on Japan and entered northeast China, saving Chinese farmer Yang Yufu from under the butcher’s knife of the Japanese troops.Unfortunately, the military vehicle escorting Yang was misdirected into a Japanese military base. Yang and Nadia, a Soviet woman of military surgeon, fled into a forest where they met a Japanese girl, named Aki Yoko. The two hoped the girl could lead them out of the forest, but

CASC President Commenting on China's Major Space Programs

CASC President Ma Xingrui was interviewed by a Hong Kong magazine recently and talked about the prospects of China's major space projects. Mr. Ma is the deputy Commander-in-Chief of China's Manned Space Program, Commander-in-Chief of China's Lunar Exploration Program, and Commander-in-Chief of China's new-generation launch vehicles. Mr. Ma said that the LM-5 launch vehicle, with LEO loading capacity of 25t, will carry out its maiden flight around the end of 2014.

Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

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.

Improve Chinese Aspect Sentiment Quadruplet Prediction via Instruction Learning Based on Large Generate Models

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.

Gastric cancer immunotherapy:A scientometric and clinical trial review

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.

Reviewer Acknowledgements

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.

Multidisciplinary approaches in the management of advanced hepatocellular carcinoma:Exploring future directions

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.

Additional comments on foot reflexology treatment for sensorineural hearing loss in infant

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.

Emotional differences based on comments on doctor-patient disputes with varying levels of severity

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.

Enhancing User Security on Instagram: A Multifaceted AI System for Filtering Abusive Comments

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.

The Impact of Classroom Evaluation on Chinese Learning Motivation:A Comparative Study of Oral Feedback and Written Comments

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.

涎腺肿瘤的诊断和治疗

涎腺肿瘤临床常见,很多病例缺乏规范性治疗,误诊误治的病例不少。现就临床常遇到的一些问题和同道们共同探讨。1涎腺肿瘤的诊断涎腺肿瘤以发生在腮腺最常见,其次是下颌下腺。很多患者因无痛性肿块就诊,没有任何症状。临床检查为腺内界限清楚且活动的肿块,无压痛,这是良性肿瘤的典型表现。但是也有不少低度恶性肿瘤也呈此种表现,临床上很难确定。

躯体化障碍的诊断和性质

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，

简论十六国北朝时期的敦煌大族与佛教

本文把十六国北朝时期的敦煌大族与佛教问题分为三期。汉晋之际,初居敦煌的大族主要独尊儒家文化,他们并未真正信仰佛教;十六国时期,他们在尊奉传统儒家文化的同时,开始接受佛教,在思想信仰方面儒释兼行;北朝时期,其佛教信仰有了长足发展,且有压倒儒学之势。这个时期,敦煌大族的思想信仰和文化代表了敦煌宗教文化的发展方向。

重视开展耳鸣的影像学研究

耳鸣是耳科和神经内科就诊的常见症状之一,全球10%～30%的人曾有耳鸣经历[1]。耳鸣分类多样,根据引起耳鸣的病变部位可分为中枢性耳鸣和周围性耳鸣;根据耳鸣性质分为搏动性耳鸣和非搏动性耳鸣;根据耳鸣能否被别人感知可分为主观性耳鸣和客观性耳鸣。产生耳鸣的原因和耳鸣的中枢机制一直是临床研究的热点。随着CT和MRI技术发展,为探讨耳鸣病因及产生的机制研究提供新的研究手段,应重视开展。

喉及喉咽癌喉功能保全性治疗动向

临床医学近年来的发展有两个主要倾向[1]：贯彻医学人道主义和循证医学原则。前者要求医师尊重患者的个人价值观、期望和意愿,进一步体贴患者。后者要求把医疗放在坚实的科研基础上。医师一定要从患者的利益着想,根据有实证的科技成果,设计出完善的治疗方案。

转化医学在过敏性鼻炎相关研究中的应用

晚近一个世纪,现代科学技术的飞跃式发展,为从全新角度诠释疾病的发病机制,把握疾病发生发展的关键环节,并最终找到解决方案提供了可能。医学研究中的成果转化问题是从其诞生之日起就面临的主要课题之一,

喉癌基础研究现状和展望

随着治疗手段的进步,喉癌患者术后生活质量不断改善,但近30年喉癌术后患者5年生存率仍没有明显提高[1]。目前,国内、外喉癌基础研究主要集中在病因学及发病机制上。