Length Of Comments Research Articles

Origen and Jerome as Exegetes of the Parables from the Gospel of St. Matthew - Elements in Common and Differences

The article is an attempt to examine the degree of dependency of Jerome’s exegesis of the parables from the Gospel of St. Matthew on the exegesis of the same texts by Origen. The primary sources are Jerome’s Commentary on the Gospel of St. Matthew written in 398 AD, when he was already an enemy of the Alexandrian, and Origen’s Commentary on the same Gospel. A detailed comparative analysis of the exegesis of the selected parables led to the following conclusions. The differences between the approaches of both authors are limited to three issues: (1) Jerome’s interpretations reflect the spirit of the post-Nicene period, marked by Trinitarian disputes; (2) The Stridonian dissociates himself from all associations with Origen’s dubious theological suggestions, such as the pre-existence of souls or apocatastasis, which can be noticed concealed in the exegesis of the Alexandrian; (3) Jerome’s comments are short and concisely convey the main spiritual meaning of the parables in question, but this difference in the length of comments is quite secondary. Despite the above differences the reliance of the Stridonian on the Alexandrian is significant. Jerome’s elaborations are very similar to those of Origen in terms of exegetic methodology and spiritual content extracted from the text of the Gospel. Even if Jerome does not accept all the solutions proposed by the Alexandrian, he is in constant dialogue with him and remains in his work an Origenist dependent on the allegorical orientation of exegesis.

A Natural Language Processing Framework for Detecting Adverse Drug Reactions in Clinical Structured Drug Reviews

Background: Adverse drug reactions (ADRs) pose significant concerns in healthcare, yet their underreporting remains a challenge. Extracting spontaneous and non-automatic reports from free-text narratives contributes to this low rate of reporting. An automatic ADR detection system can mitigate these issues by identifying, summarizing, and reporting ADRs in a document. This study presents an adverse drug reaction detector (ADRD), a natural language processing (NLP) framework applied to the psychiatric treatment adverse reactions (PsyTAR) dataset. Aiming to automate ADR analysis, the framework explores the relationship between ADRs and patient satisfaction. Methods: A comprehensive eight-phase approach was employed in the ADRD framework, utilizing Python programming language libraries and NLP tools. The dataset underwent meticulous preprocessing, and the subsequent phases involved data summarization, pattern identification, data cleaning, sentiment calculation, assessment of drug effectiveness and usefulness, analysis of medical conditions, and identification of the most effective and ineffective drugs for each condition. Results: Analyzing 891 comments related to four unique drugs (i.e., Zoloft, Lexapro, Cymbalta, and Effexor XR) from patients with 285 distinct conditions, the framework offered insights into the dataset structure, statistical indicators, distribution of ratings and ADR counts, the impact of ratings on ADR counts, and length of comments’ influence on ratings. Conclusion: The challenges of extracting ADR reports from free-text narratives have led to their underreporting. ADRD offers an automated and insightful approach for enhancing ADR analysis and reporting processes, making strides toward bridging the gap in ADR reporting.

The Dark Threads That Weave the Web of Shame: A Network Science-Inspired Analysis of Body Shaming on Reddit

Deep within online forums, we often stumble across body shaming. Words like “fat” and “ugly” are tossed around, hurting those they target. But can we peel back the layers of these online communities? In this study, social network analysis is used to shine a light on body shaming on Reddit, a well-known online platform. This paper presents a comprehensive social network analysis of body shaming on Reddit, one of the largest online platforms. The research delves into the intricacies of body shaming by identifying key actors, communities, and patterns of behavior and communication related to body shaming. The results show how behavior and communication differ across Reddit’s various subgroups, and how user activity and the length of comments can vary. Through the application of topic modeling, the main subjects discussed in each subgroup were identified. This enables an understanding of what drives discussions about body shaming. The findings provide valuable insights into the spread and normalization of harmful behaviors and attitudes related to body shaming, which can inform the development of targeted interventions aimed at reducing this harmful behavior and promoting more positive and inclusive attitudes towards body image and weight.

Comments and responses' combination: tourist destination's moderating effect

PurposeTo examine the relationship between online comments, merchant replies and online sales of tourism products and focus on the moderating role of tourist destination.Design/methodology/approachThis article uses crawler technology and regression analysis methods.FindingsThe researchers found the following: (1) The number of pictures uploaded with online comments, the number of merchant replies and the length of merchant replies have a significant positive effect on sales of tourism products, while the length of comments and the similarity of merchant replies negatively affect sales of tourism products. The emotional scores of the reviews do not significantly affect sales of tourism products. (2) Tourist destination moderates the relationship between user comments and sales of tourism products. The length of comments has a greater negative effect on sales of domestic tourism products, while the number of comments has a greater positive effect on sales of overseas tourism products. (3) Tourist destination moderates the relationship between merchant replies and sales of tourism products. Consumers who choose domestic tourism products pay more attention to the interactivity reflected by merchant replies (e.g. number and length of merchant replies), while consumers who choose overseas tourism products hope to receive replies that are more useful, such as reply similarity.Originality/valueThe research conclusions enrich the relevant research in the field of online review research and has practical significance for how companies increase sales of tourism products.

Patterns of Peer Review in an EFL Writing Course in China

AbstractPeer review is widely used in writing courses for both practical and pedagogical reasons, but little has been published on the characteristics of Chinese EFL learners’ review patterns. This study aimed to explore the types of peer comments, their distribution, and related factors in a Chinese context. It collected and analyzed in NVivo and SPSS 829 peer reviews, survey data, and students’ writing and reading scores. Results show that more than half of the comments focused on language, one third on social talk, and about ten percent on content and organization. Multiple regression results show that content score, organization score, good attitude, procrastination, and assignment type were related to the distribution and the length of comments, but many other influencing factors are to be revealed in future research.

RSVP: We are Pleased to Accept your Invitation

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Improving Cost-Benefit Analysis of Training

From time to time, articles are puhlished in EP that evoke comments from readers.In Response is reserved for this dialogue. Contributions should be to the point, con cise, and easy for readers to track to targeted articles. Comments may be positive or negative, but if the latter, then at least relatively nice! Please keep length of com ments to minimum essential.