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.

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.

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.

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.

Syntax-Based Aspect Sentiment Quad Prediction by Dual Modules Neural Network for Chinese Comments

Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete subtask.ASQP aims to accurately recognize the sentiment quad in the target sentence,which includes the aspect term,the aspect category,the corresponding opinion term,and the sentiment polarity of opinion.Nevertheless,existing approaches lack knowledge of the sentence’s syntax,so despite recent innovations in ASQP,it is poor for complex cyber comment processing.Also,most research has focused on processing English text,and ASQP for Chinese text is almost non-existent.Chinese usage is more casual than English,and individual characters contain more information.We propose a novel syntactically enhanced neural network framework inspired by syntax knowledge enhancement strategies in other NLP studies.In this framework,part of speech(POS)and dependency trees are input to the model as auxiliary information to strengthen its cognition of Chinese text structure.Besides,we design a relation extraction module,which provides a bridge for the overall extraction of the framework.A comparison of the designed experiments reveals that our proposed strategy outperforms the previous studies on the key metric F1.Further experiments demonstrate that the auxiliary information added to the framework improves the final performance in different ways.

“Luminous Conflicts:Navigating Architecture,Light,and Visitor Experience in Museums”:The Case of Yale Center for British Art

The architectural design of the YCBA(Yale Center for British Art)exemplifies Kahn’s exploration of light as a transformative element.However,preserving sensitive materials within the museum challenges the building’s original intent.The potential harm caused by light necessitates control measures,potentially compromising the intended luminous ambiance envisioned by Kahn.A comprehensive survey revealed a strong preference for natural light in the museum environment.Visitors appreciated the ethereal qualities and heightened engagement with exhibits facilitated by natural light.This research critically examines the balance between architectural vision,preservation imperatives,and visitor expectations,highlighting the museum space as a dynamic field of action.The architectural elements,interior configuration,lighting,and movement are in constant harmony and conflict.This investigation contributes to a deeper understanding of the relationship between architecture,light,the museum experience,and knowledge.It underscores the importance of considering preservation,design,and visitor preferences when balancing these elements in museums.

Strategies for Effective Comments on Students’ Written Assignments

Abstract:Comments on students’assignments are important for English course.The loopholes in teachers’working schemes-comments of their students’written assignments are the clues around which the paper spreads.In the process of teaching,some English teachers pay so much attention to the contents taught in class but ignore the comments on students’written assignments.Consequently,it is not applicable for students to correct their mistakes in time and they probably make the same mistakes repeatedly.

An analysis of first-time and repeat visitors to Korean national parks from 2007 and 2013

This paper examined visitors to Bukhansan National Park in Korea based on first-time and repeat visitation. Bukhansan National Park is Korea's most heavily visited national park with annual visitation of six million visitors in 2015. Data used in this article were collected on-site in the park in 2007 and 2013 by the Korea National Park Service(KNPS).The study variables included socio-demographics,travel behavior, motivation, and satisfaction with park attributes, services and facilities. Data were analyzed by each study year for first-time and repeat visitors.Results showed significant differences for both firsttime and repeat visitors on several socio-demographic,travel behavior, and motivation variables within each study year. For satisfaction with park attributes,facilities and services, first-time visitors were significantly different from repeat visitors on seven variables for both years. Implications are given regarding programs and services to improve visitor satisfaction and sustain the natural, cultural and historical resources at Bukhansan National Park and other national parks in Korea. Future research suggestions are provided to learn more about visitor characteristics, standards of quality and preferences in the national parks.

Technical comments on rodent spinal cord injuries models

Spinal cord injuries （SCI） in rodents have been created by laceration, contusion, compression, or intramedullary injection of toxic agents. The choice of an appropriate SCI model should be made for each study based on the experimental design, with care taken to avoid unintended complications such as hemorrhage. Technical comments will be made in this communication describing the 1） importance of vertebral stabi- lization, 2） injury preparation, and 3） landmarks to improve the preci- sion and reproducibility of the SCI.

Agglomerative Approach for Identification and Elimination of Web Robots from Web Server Logs to Extract Knowledge about Actual Visitors

In this paper we investigate the effectiveness of ensemble-based learners for web robot session identification from web server logs. We also perform multi fold robot session labeling to improve the performance of learner. We conduct a comparative study for various ensemble methods (Bagging, Boosting, and Voting) with simple classifiers in perspective of classification. We also evaluate the effectiveness of these classifiers (both ensemble and simple) on five different data sets of varying session length. Presently the results of web server log analyzers are not very much reliable because the input log files are highly inflated by sessions of automated web traverse software’s, known as web robots. Presence of web robots access traffic entries in web server log repositories imposes a great challenge to extract any actionable and usable knowledge about browsing behavior of actual visitors. So web robots sessions need accurate and fast detection from web server log repositories to extract knowledge about genuine visitors and to produce correct results of log analyzers.

Evaluation of the Validity of Interpretation System for the Visitors to Yuntaishan Global Geopark in China

This study was conducted over a twelve-month period of study at Yuntaishan Global Geopark centered to assess the validity of interpretation system for the visitors there.And the author designed four sets of questionnaires for it,one for Chinese visitors, one for English-speaking visitors,one for the interpreters and one for management staffs of Yuntaishan Global Geopark.1149 Chinese visitors,15 English-speaking visitors,63 interpreters and

Culturally Sensitive Medical Care and Nursing Support: A Study of the Concerns of Foreign Visitors to Japan

Background: Considering the development of international transportation in modern societies, nursing care needs to be sensitive to the cultures and customs of patients from other countries. The purpose of this study is to determine, from the perspective of culturally sensitive nursing support, the cultural practices that foreigners consider important when they visit a Japanese hospital for check-ups or hospitalization. Methods: A survey was completed by 110 foreign participants at a shrine in Kyoto City. The purpose of the survey was to evaluate the concerns of foreign visitors regarding Japanese medical providers, caused by cultural differences such as customs of daily life. The statistical analyses were performed using descriptive statistics as well as cross-tabulation, chi-square, and Fisher’s exact tests. Results: After grouping participants by continent, the top concerns observed in all groups about visiting a Japanese hospital were accessibility to and cost of medical care. First, as for medical facilities, participants from North and South America (North and South American) and Europe (Europeans) were significantly more concerned than those in Asia (Asians) (P P P P P Conclusion: Nurses need opportunities to learn and understand differences in cultures. If nurses have opportunities to learn cultural differences as well as to experience caring for foreign patients, their competencies in culturally sensitive nursing support will improve over time. It can be said that this is an issue not only in Japan but also in all other countries.

Impact of Online Comments on Purchase Intention of College Student Consumers under Online Shopping

With the rapid development of network technology,online shopping has been constantly growing,and how to make better use of the dissemination effect of online comment has become an imperative and practical issue. Based on review of the existing literature,this paper established the theoretical research model and used the literature research and empirical research combined method to analyze the impact of online comment on purchase intention of college student consumers under online shopping. The research results indicate that the quantity,quality,valence and timeliness of online comments exert a significant impact on the purchase intention of college student consumers.

Influence of Online Comments on Tourist' Purchase Intention Based on Questionnaire Survey among Tourists in Tai'an City

Taking tourists in Tai'an City—an outstanding tourism city of China for example, this paper explored the influence of online comments(word-of-mouth effect) on tourists' intention of purchasing services of accommodation facilities and restaurants through analyzing 502 valid questionnaires. Then measures and suggestions were proposed for tourist enterprises improving online word-of-mouth marketing.

The Spatial Variability and Temporal Dynamics of Soil Properties as Affected by Visitors’ Pressure in an Urban Park

Soil properties and their tempo-spatial heterogeneity, affected by visitors’ pressure, season and soil depth, were studied in an urban park in Tel-Aviv. Soil was sampled twice yearly in wet and dry seasons. In each season soil was sampled from areas exposed to differing levels of visitors’ pressure (VP), and designated “no VP (Control)”, “High VP” and “Low VP”. The soil samples were taken from two depths. For each soil sample, moisture, organic matter and soluble-ion contents, pH, and electrical conductivity were determined. It was found that different properties were differently affected by VP, seasonal dynamics and soil depth: organic matter content, penetration depth and sodium concentration were the most sensitive to VP;Soil moisture did not respond to VP, but sharply reflected seasonal changes;Calcium and organic matter contents were significantly affected by the soil depth. The sensitivity of soil properties to VP increased from March to July, and the upper soil layer was more sensitive to seasonal dynamics and VP than the deeper layer. Some soil properties exhibited “spotty” patterns;others a “frontal” one. Organic matter content was completely controlled by VP at both depths and in both seasons, and could be used as an indicator of soil status in recreation areas. Visitors’ activities included trampling and other anthropogenic factors that enhanced the spatial changes and seasonal dynamics of soil properties. Based on these measurements the intensity of soil degradation and dynamics was evaluated and used to describe the soil status in an urban park.

Editor＇s comments

This review article entitled ＂Physiological approaches to understanding molecular actions on dorsolateral prefrontal cortical neurons underlying higher cognitive processing＂ examines the relationship between neurotransmitters and prefrontal cognitive function. The authors of this article are leading the field in such research.

Comments from Ambassadors to China

Belt and Rod Initiative Boosts Infrastructure Construction in Africa H.E.Edward Boateng Ghanaian Ambassador to ChinaChina’s Government Work Report is rich in information that not only summarizes development achievements from 2018, but also proposes detailed planning for further development in2019 and beyond. What’s particularly impressive is notion of socialism with Chinese characteristics in President Xi’s era. The Chinese government is attaching greater importance to on the people and have considerably raised the standard of living in the course of development.

Comments on PVPs,MPPs,NOWS,and Future Computer Architectures

Abstract Using 1995 results from the NASA Parallel Benchmarks, this paper compares the sustained performance (as opposed to peak performance) and cost per unit of sustained performance for state-of-the--art Parallel processing systems that use MicroProcessors(MPP) versus those that use Custom-designed Processors (PVP). This comparison shows that MPPs approach, but seldom surpass, PCPs with respect to either metric. This paper also discusses the merits and demerits of 'clusters' of workstations Ironically, recently introduced low--cost, parallel systems can also be viewed as 'virtual workstation clusters' that offer comparable, if not superior, capabilitics. Finally, this paper explores the question of whether it will be economically feasible for computer manut'acturers to continue building PVPs, or are MPPs the only economically viable option for building parallel systems?

Responses to the comments of Prof. Frederic Meunier

Thanks for your straightforward comments and constructive suggestions on our recent study on dual‐beam FT‐IR spectroscopy published in Chin.J.Catal.,2017,38,13?19.We are glad to reply your questions and to give some supplementary remarks concerning the dual beam FT‐IR spectrometer,its usage and application progress.The first question you posed is about the nature of the feed gas flow regime in sample cell(e.g.,plug flow or CSTR‐like).You worry about a non‐CSTR flow regime in the sample cell of our dual beam IR‐cell reactor,which will result in difference in the gas composition of sample cell and reference cell,and consequently an imperfect gas‐phase correction.