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Purpose: The purpose of the present study is to assess the gender‐specific differences in the presentation and outcomes following Talar OsteoPeriostic grafting from the Iliac Crest (TOPIC) between male and female patients. Methods: A prospective comparative analysis was performed comparing consecutive female and male patients having been treated by the press‐fit TOPIC procedure. Clinical comparative assessment preoperatively and at 12 months of follow‐up included determination of the Numeric Rating Scale (NRS) scores for pain during walking (primary outcome), at rest and during stair‐climbing. The Foot and Ankle Outcome Score (FAOS) was also assessed. A computed tomography (CT) scan was performed for lesion size, morphology and localization determination preoperatively as well as 10–12 weeks postoperatively to assess the union of the osteotomy site and at 1 year postoperatively to assess consolidation of the graft as well as intra‐graft cyst development. Results: A total of 48 patients (30 women, 18 men) were eligible for inclusion. Both men and women demonstrated significant functional improvements postoperatively concerning the clinical outcomes with no significant differences between men and women (n.s.) except for a significantly greater improvement in postoperative FAOS pain scores in women. Men presented with OLTs significantly larger in both surface area (208 mm2 for males versus 155 mm2 for females, p < 0.05) as well as lesion volume (3.0 cm3 for males versus 1.8 cm3 for females, p < 0.05). At 1‐year postoperatively, all patients showed graft consolidation. Cyst formation was present in 11 females (37% of the group) and 10 males (59% of the group), respectively (n.s.). Conclusion: Both males and females showed clinically relevant improvements in the clinical outcomes after undergoing the TOPIC procedure with significant differences in preoperative lesion size. The TOPIC procedure is a good treatment strategy for large OLTs in both men and women. Level of Evidence: Level III, comparative prospective clinical cohort. [ABSTRACT FROM AUTHOR]

One important activity in conceptual ethics and conceptual engineering involves proposing to associate a new semantics with an existing word. Many philosophers think that one important way to evaluate such a proposal concerns whether it preserves the "topic" picked out by the existing word, and several have offered competing proposals concerning what is required to preserve topic. Our paper is focused on the conceptual ethics question of how conceptual engineers should use the term 'topic continuity'. We provide and defend a context-sensitive answer to this question. Our answer is motivated by the idea that there are several distinct considerations that we can reasonably care about (and which many conceptual engineers already do care about) in thinking about "topic continuity", and, moreover, that how best to weigh them against each other can vary from context to context. On our proposal, 'topic continuity' can function as a useful representational device that enables coordination by inquirers with respect to these concerns. We conclude by locating our account in a broader way of thinking about topic continuity across a range of inquiries. [ABSTRACT FROM AUTHOR]

Recent research has highlighted the existence of expletive(-like) elements in various languages that are related to discourse, serving as fillers for designated topic/focus positions and/or contributing specific discourse–pragmatic effects. Such elements pose a number of challenges and opportunities, both for our overall conception of expletives and for our understanding of the syntax–discourse interface, although work in this area to date has mainly focused on the phenomenon in individual varieties. In this study, we critically survey the current state-of-the art on this topic and discuss four main areas where we see particular challenges and opportunities for research: (i) categories and definitions, (ii) typological correlations, (iii) theoretical modelling and (iv) language change. Overall, this article brings together a broad array of empirical findings and theoretical approaches on the phenomenon of discourse-related expletives and highlights the many avenues for future work in this area.

The paper analyzes the citation impact of Library and Information Science (LIS) research articles published in 31 leading international LIS journals in 2015. The main research question is: to what degree do authors' disciplinary composition in association with topic, methodology, and type of contribution affect their citation impact? The impact is analyzed in terms of the number of citations received and their authority, using outlier normalization and subfield normalization. Quantitative content analysis is used to analyze article characteristics including topic, methodology, type of contribution, and the disciplinary composition of their author teams. The citations received by the articles are traced from 2015 to May 2021. Citing document authority is measured by the citations they had received up to May 2021. The overall finding was that authors' disciplinary composition is significantly associated with citation scores. The differences in citation scores between disciplinary compositions appeared typically within information retrieval and scientific communication. In both topics LIS and computer science jointly received significantly higher citation scores than many disciplines like LIS alone or humanities in information retrieval; or natural sciences, medicine, or social sciences alone in scientific communication. The paper is original in reporting a joint analysis of content characteristics, authorship composition, and impact. [ABSTRACT FROM AUTHOR]

Purpose This study aimed to analyze the research trends of the Korean Journal of Medical Education (KJME) since it became an English-language journal. Methods A total of 274 articles published in KJME from 2016 to 2023 were analyzed. All article types were included in the analysis. NetMiner ver. 4.0 (Cyram Inc., Korea) was used for the main keyword and topic modeling analysis. Results Of the 274 articles, 170 (62%) and 104 (38%) were by domestic and international authors, respectively. The main keywords with high frequency were “students,” “learning,” “experience,” “pandemic,” and “perception.” Three topics were derived using topic matching analysis: “residents’ perception and attitude of the pandemic,” “assessment of learning and achievement,” and “learning experiences in the pandemic.” Conclusion Since the shift to English-language journals, medical education research has witnessed an increase in the number of articles published by international authors. Research on postgraduate education has increased. Research topics are relevant to situations such as the coronavirus disease 2019 pandemic. These findings can help researchers select research topics and encourage them to submit their research to the journal.

Copyright of Grafica: Journal of Graphic Design / Documents de Disseny Gràfic is the property of Universitat Autonoma de Barcelona and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This study aimed to analyze the research trends of the Korean Journal of Medical Education (KJME) since it became an English-language journal. Methods: A total of 274 articles published in KJME from 2016 to 2023 were analyzed. All article types were included in the analysis. NetMiner ver. 4.0 (Cyram Inc., Korea) was used for the main keyword and topic modeling analysis. Results: Of the 274 articles, 170 (62%) and 104 (38%) were by domestic and international authors, respectively. The main keywords with high frequency were “students,” “learning,” “experience,” “pandemic,” and “perception.” Three topics were derived using topic matching analysis: “residents’ perception and attitude of the pandemic,” “assessment of learning and achievement,” and “learning experiences in the pandemic.” Conclusion: Since the shift to English-language journals, medical education research has witnessed an increase in the number of articles published by international authors. Research on postgraduate education has increased. Research topics are relevant to situations such as the coronavirus disease 2019 pandemic. These findings can help researchers select research topics and encourage them to submit their research to the journal. [ABSTRACT FROM AUTHOR]

This research addresses the possibility of placing the subject in a pre-verb position in verbal sentences in Arabic, without necessarily stipulating that if the subject is preposed before the verb, it becomes a topic. In this way, the subject is a non-overt pronoun positioned within or after the verb, because the subject is conventionally acknowledged by grammarians to move freely to various post-verbal positions, but never pre-verbally. The research considers the views and opinions of linguists and grammarians who have dealt with this issue in detail, presenting a discussion of these views to reveal the strict restrictions imposed on the movement of the subject. It is hoped that this will contribute to the facilitation of teaching and learning Arabic grammar. It will also revitalize the discussion of views in Arabic grammatical traditions to try to establish new grammatical principles that contemporary linguists may adopt when reformulating the rules of Arabic grammar. This endeavor may simplify the task of learning rules and contribute to presenting them more flexibly and plausibly. [ABSTRACT FROM AUTHOR]

Left peripheral topics and foci often differ with respect to resumption: in languages such as Italian, Tzotzil Maya, and Warlpiri, while fronted topics may be co-indexed with a pronominal form in the corresponding argument position, fronted foci correspond to a gap. However, this contrast does not universally apply. In languages such as Anyi and Baule, two Kwa languages of Côte d'Ivoire, subjects and animate objects must be resumed by a pronoun whenever they appear in the left periphery – independent of information structure. The question is whether this instance of cross-linguistic variation arises through differences in the syntax of left peripheral positions in various languages or in the conditions of resumption. The present study examines data from Kwa languages and concludes that the difference lies in the conditions of resumption, which are orthogonal to the syntactic differences between topics and foci. Resumptives have a dual nature in these languages, serving as anaphoric constants (true resumptives) in topicalization and as bound variables (apparent resumptives) in focus constructions. A survey of the relevant facts in further Kwa languages reveals that resumption is determined by factors that are independent from information structure and relate to the recoverability of empty argument positions. [ABSTRACT FROM AUTHOR]

The effects of learner‐ and task‐related variables on second language (L2) writing syntactic complexity (SC) have been extensively investigated. However, previous research has rarely assessed the reliability of computational tools for analyzing the SC of L2 spoken production, and we know less about the effects of such variables on L2 speaking SC. Using data from the International Corpus Network of Asian Learners of English, this study explores data preprocessing issues for preparing L2 English speech samples for automated SC analysis, evaluates the reliability of L2 Syntactic Complexity Analyzer on preprocessed L2 English speech samples, and examines the effects of proficiency, first language (L1) background, and topic on L2 speaking SC. Our manual analysis of 30 random speech samples identified several issues that can be addressed through preprocessing to improve the accuracy of automated SC analysis. Results from multiple linear mixed‐effects models revealed significant effects of proficiency, L1 background, and topic on the mean length of clause, the number of complex AS‐units per AS‐unit, and the number of dependent clauses and complex nominals per clause in L2 learners' spoken production. Our findings have useful implications for L2 speaking pedagogy and assessment as well as future L2 speaking SC research. [ABSTRACT FROM AUTHOR]

This study compared topics, impact, disciplines, and research methods in articles published from 2016 to 2020 between Scientometrics and Journal of Informetrics (JOI) to provide referential data for researchers and understand developments in scientometric research. Regarding similarities between Scientometrics and JOI, the results revealed that authors affiliated with management-related institutes accounted for the largest group of researchers and were predominantly listed as the first authors. Methodology was the second most common topic, and the proportion of studies increased during the study period. Most researchers preferred combining various methods to analyze publications from different sources. Regarding the main differences between the two journals, articles on research-based communication and metrics and indicators dominated Scientometrics and JOI, respectively. Authors working for scientometric institutes were the second largest group of authors in JOI, whereas computer science authors were the second largest group in Scientometrics. The average impact of articles for each topic in JOI was higher than that of articles in Scientometrics. [ABSTRACT FROM AUTHOR]

A research topic is a subject or problem that an investigator is interested in research. The starting point of any research project that is successful is a well-defined subject of research. The selection of topics is an ongoing approach in which investigators analyse, describe, classify, and refine their ideas. For the ease of selection of topics particularly in the field of Ayurveda, Authors have created an acronym ‘TOPIC’ as a guiding tool for the selection of the area of research. The components of the TOPIC criterion are Textual & Time-bound; Objectivity & Outcome measures; Planning & Pragmatic; Innovative & Interesting and Contemporarily relevant & Consent, highlight useful points for the easy selection of the topic for the research by the novice.

Social networks have become a powerful communication tool, with millions of people exchanging information, opinions, and experiences daily. Companies, organizations, and even people have turned this tool into a marketing platform to position themselves and gain popularity. However, not only do companies present products or services to society, but society also provides feedback. This feedback also has a significant impact. It is impossible to process all this vast information manually in time, but it is crucial. This information is precious even to governmental or public entities such as universities. Potential future students will use social media to learn about the general feel of the institution. Therefore, this study presents a new dataset called CEIMaT2021, which compiles all tweets in Spanish related to the Technical School of Industrial Engineering of the Universidad Politécnica de Madrid (ETSII-UPM). This dataset is designed for two main tasks of Online Reputation Management: 1) automatic detection of topics and 2) polarity. Furthermore, this study shows that the BETO model obtains better performance for topic detection for these tasks. Meanwhile, the MarIA model obtains better results for polarity detection.

This paper investigates the syntactic–pragmatic behavior of two expletive-like elements, namely a and chiru, in Fornese and Cilentano, two Romance varieties spoken in Northern and Southern Italy, respectively. We argue that a and chiru are not bona fide expletive subjects but discourse-pragmatic expletives, which mark zero aboutness or the absence of an aboutness referent in an utterance. The investigation of Fornese and Cilentano points towards the existence of a sub-class of null-subject languages where aboutness as a discourse feature must be structurally satisfied by merging an overt or null topic in the syntactic spine of the clause. In the absence of such an element—for example, in thetic clauses—a discourse-pragmatic expletive is externally merged as a last-resort strategy to satisfy [uAboutness]. We argue that, in these null-subject languages, the satisfaction of the discourse feature [uAboutness] is an LF requirement, which is subject to a parametric choice. We show that, in Fornese, "default" [aboutness] is satisfied in SubjP, which is the canonical syntactic position for overt subjects within a cartographic approach. In Cilentano, on the other hand, [aboutness] is satisfied in a higher position within the C-domain, namely ShiftP, the canonical syntactic position that hosts overt aboutness/shift topics. [ABSTRACT FROM AUTHOR]

Referents with a topical or focused status have been shown to be preferable antecedents in real-time resolution of pronouns. However, it remains unclear regarding whether topicality and focus compete for prominence when co-present in the same narrative, and if so, how differential prominence affects prosodic realization of a subsequent pronoun. Building upon the general understanding that stress on pronouns signals an unusual, less accessible interpretation, we take advantage of the conditional bi-clausal construction in conjunction with homophonic 3rd person pronouns in Chinese. We manipulated the information status of two referents that were introduced into a six-clause narrative in succession, specifically (i) Topic and (ii) Focus, and also (iii) the Reference of the Pronoun (either the first or second referent). Our acoustic analyses showed that pronouns were produced with higher F0s when the first referent was topicalized than when it was not topicalized under conditions where the second referent was focused. Pronouns referring back to the first referent were uttered longer when the referent was not topicalized than when it was topicalized. These results suggest accessibility statuses of referents vary dynamically in response to different prominence-lending cues, and these variations can be captured by the prosodic features of a following pronoun. [ABSTRACT FROM AUTHOR]

The present study examined the effect of language background and topic on productive formulaic competence. Guided by usage-based theory of language learning, this study used a distribution-based approach to the examination of the native-likeness of formulaic usage in English timed argumentative writing. Six indices informed by a large-scale native corpus were chosen to gauge the frequency and association strength of bigrams and trigrams in a total of 778 English timed independent argumentative essays on two topics by 100 native speaker writers, 210 English as a foreign language (EFL) writers and 79 English as a second language (ESL) writers in Asia. Results of a series of linear mixed-effects regression analyses showed that, while EFL writers scored lower on most of the indices than both NS writers and ESL writers, ESL writers did not differ much from NS writers in their use of n-grams across topics. Meanwhile, the topic that was deemed more cognitively demanding and of a stronger technical nature elicited more native-like performance in bigram and trigram use across all three language groups. Findings of the study highlight the important effect of input on the development of formulaic competence in a second language, offer empirical support to the use of cognitively complex topics in second language writing practice, and carry important implications for L2 writing pedagogy. [ABSTRACT FROM AUTHOR]

Individual differences in children's social communication have been shown to mediate the relationship between poor vocabulary or grammar and behavioural difficulties. Moreover, there is increasing evidence that social communication skills predict difficulties with peers over and above vocabulary and grammar scores. The essential social communicative skills needed to maintain positive peer relationships revolve around conversation. Children with weaker conversation skills are less likely to make and maintain friendships. While helping all children to participate actively in collaborative conversations is part of school curricula, evidence-based training on how to achieve this is rarely provided for teachers. In this review, we first provide an overview of the key components of conversation skills and the cognitive abilities required to maintain them. We then present a narrative review of randomised controlled trials and experimental studies that either trained child conversation skills or included conversation skills in both training and outcome measures. Most of the studies focussed on training conversational ability in autistic children. The general finding was that verbally fluent autistic children improve following conversation training on blind-assessed reciprocal conversational ability. Only two studies were found that trained conversation skills in typically developing children with adequate controls and outcome measures, which directly assessed conversational proficiency. Both studies focussed on typically developing children who, at baseline, were in the weaker third of the mainstream classroom. Importantly, training not only improved the conversational ability of these children, it also improved their rates of lunchtime interaction with peers and their peer popularity ratings. We argue that there is considerable potential for supporting conversation skills in the classroom as a universal or Tier 1 intervention. Future research should explore whether conversation skills training would benefit the whole classroom. [ABSTRACT FROM AUTHOR]

Introduction: Tele-assessment (TA) has the potential to enhance access to speech therapy. This preliminary study aimed to investigate the impact of assessment mode (face-to-face [FTF] vs. TA) on the microstructure level and chosen topics of personal narratives produced by Arabic-speaking and Hebrew-speaking school-age children living in Israel. We also investigated whether performance variations, if evident, could be attributed to the children's language/culture. Methods: Eighty-nine 10-year-old children, 38 Arabic-speaking and 51 Hebrew-speaking, living in Israel, participated in this study. Forty participants were assigned to a TA group (via Zoom) and 49 to a FTF group. All participants were assessed using the Global TALES protocol, generating six personal narratives each. The narratives were analyzed regarding the following microstructural measures: total number of words, total number of utterances (TNU), number of different words, and mean length of utterance in words (MLU-W). Additionally, each narrative was categorized into a topic according to the Global TALES protocol. Results: The analysis revealed no significant main effect of assessment mode on any of the microstructure measures. However, a significant interaction effect between language/culture and assessment mode was found for TNU and MLU-W, with a significant main effect for TNU exclusively in the Arabic narratives, with the Arabic-speaking children producing more utterances through FTF compared to TA. Across language/culture groups, there was a significant effect of assessment mode on the chosen topic. Additionally, there were significantly higher scores in the Hebrew compared to the Arabic narratives in all microstructure measures, and language/culture also influenced the chosen topics. Conclusions: The results support the feasibility of TA mode for assessing personal narratives in school-aged children, using the Global TALES protocol. However, the results also suggest that TA results may be affected by the language/culture of the narrator. Finally, the findings highlight the potential influence of TA on the chosen topics of personal narratives, perhaps due to a decrease in the quality of communication in TA. [ABSTRACT FROM AUTHOR]

Purpose/Introduction: Narrative language skills are critical for effective social interactions and academic success. Consequently, narratives are regularly an aspect of assessment and intervention for children with communication impairments, supporting the need for information about typical development from children across cultures. Development of coherent personal narratives is associated with growth of both one's individual identity and cultural identity which are linked to psychological well-being. The topics and contents of children's personal stories can provide insight into cultural influences on what children consider important, how they interpret experiences, and their values and beliefs, which in turn contribute to their developing individual and cultural self-identity. The purpose of this study was to investigate the topics and content of personal narratives told by typically developing 10-year-old children from East Asian and Western English-speaking cultures. Methods: There were 20 children in each of three East Asian language groups – Mandarin, Cantonese, and Korean; and 62 children in the English-speaking groups (22 in the USA and 20 each in the Australian and New Zealand groups). In each group, half were boys and half were girls. Children responded to prompts from the Global TALES protocol to elicit personal narratives. All language samples were transcribed, translated, and coded for topic choices using qualitative content analysis in collaborative discussions by the four authors, who included an English-speaking author from the USA (C.E.W.), and three authors, who are native speakers of the three East Asian languages, Mandarin (K.-M.C.), Cantonese (A.M.-Y.W.), and Korean (J.P.L.). Results: Results on topics in stories from East Asian and Western English-speaking cultures are described in relation to literature on anthropology. English-speaking children and East Asian children in this study talked about similar topics in their personal narratives, but the frequency of these topics within their stories varied. Possible explanations for differences in story topics are discussed within a framework on cultural dimensions. Conclusion: Evaluation of the topics of children's personal narratives provides insight into what is important to the children and the way they view their worlds. This information may inform clinical approaches to assessment and intervention with children with communication impairments, encouraging clinicians to go beyond analysis of language structure to consider multiple factors that influence communicative competence. [ABSTRACT FROM AUTHOR]

In Wolof (Niger-Congo), focus is expressed morphosyntactically via specific focus constructions. This article deals with two of them, namely the subject-focus and the complement-focus constructions. I propose to analyse them as copulaless cleft constructions of the form focus | topic, that is, constructions in which the focus and the topic are juxtaposed. In such clefts, the topic of the sentence is expressed by means of a noun phrase which is headed by the definite article la when the focus corresponds to the syntactic object, and by the morpheme a when the focus corresponds to the syntactic subject of the sentence. [ABSTRACT FROM AUTHOR]

Automatic text summarization (ATS) plays a significant role in Natural Language Processing (NLP). Abstractive summarization produces summaries by identifying and compressing the most important information in a document. However, there are only relatively several comprehensively evaluated abstractive summarization models that work well for specific types of reports due to their unstructured and oral language text characteristics. In particular, Chinese complaint reports, generated by urban complainers and collected by government employees, describe existing resident problems in daily life. Meanwhile, the reflected problems are required to respond speedily. Therefore, automatic summarization tasks for these reports have been developed. However, similar to traditional summarization models, the generated summaries still exist problems of informativeness and conciseness. To address these issues and generate suitably informative and less redundant summaries, a topic-based abstractive summarization method is proposed to obtain global and local features. Additionally, a heterogeneous graph of the original document is constructed using word-level and topic-level features. Experiments and analyses on public review datasets (Yelp and Amazon) and our constructed dataset (Chinese complaint reports) show that the proposed framework effectively improves the performance of the abstractive summarization model for Chinese complaint reports. [ABSTRACT FROM AUTHOR]

The present study is an investigation of the information-structural notion of focus through the morphosyntax of focus structures in Mùwe Ké (Tibeto-Burman, Mugu, Nepal). The focus structures mainly involve the obligatory marking of actors with the otherwise-optional ergative marker -gane/-gadi: and a preferred immediately preverbal position, both of which are shown to correlate with the notion of focus. The research and analyses are based on a corpus of field data collected over three years in Nepal, including the Questionnaire on Information Structure (Skopeteas et al. 2006). The paper is intended as a partner for and precursor to Archer (2023a), which questions the notion of focus as a category and subsequently reanalyses the data presented here. [ABSTRACT FROM AUTHOR]

Route schema is difficult to plan for tourists, because they demand to pick points of interest (POI) in unknown areas that align with their preferences and limitations. This research proposes a novel personalized method for POI route recommendation that employs contextual data. The proposed approach enhances the existing methods by considering user preferences and multifaceted tourism contexts. Due to the sparsity of the data, the proposed method employs two-level clustering (DBSCAN based on the Manhattan distance) that reduces the time to discover POI. In specific, this approach utilizes the following: first, a topic pattern model is employed to discover the users' attraction diffusion while improving the user–user similarity model using a novel asymmetric schema. Second, it has used explicit demographic information to alleviate the cold start issue, and third, it proposes a new strategy for assessing user preferences and also combined the context parameters in the form of a vector model with the Term Frequency Inverse Document Frequency technique to find contexts' similarity. Furthermore, our framework discovers a list of optimal candidate trips by involving personalized POIs in sequential patterns' mining (SPM); also, it used an adjusted forgotten function to involve the date context of each trip. Based on two datasets (Flickr and Gowalla), our methodology beats other prior approaches in F-score, RMSE, MAP, and NDCG factors in the experimental evaluation. [ABSTRACT FROM AUTHOR]

As a part of basic formation, the study and practice of argumentation has become increasingly important in the middle school´s curriculum. For a society and culture that value democratic participation and debate of ideas, and that seek consensual, non-autoritarian ways of resolving their conflicts and differences, the education of children and teenagers in this practice is an unavoidable task of teaching in all levels. Within the framework of Christian Plantin´s dialogical model (1998, 2012) we proposed a pedagogical alternative to the dominant tendency in school manuals used in middle school regarding the teaching of argumentation: instead of focusing reflection upon textual models and structures, focusing classroom´s practice in argumentative work from an interactive approach, starting with problematizing questions that give way to diverging responses and asking students the reconstruction of the argumentative situations that show those divergences (Muñoz y Musci, 2011, 2013). In the present work we will go deeper into one of the notions involved in this proposal: the Argumentative Script. Defined by Plantin as “sets of arguments, counter-arguments and refutations related to a topic” (2021, p. 447), argumentative scripts preexist a given argumentation, are updateable and correspond to the state of an argumentative topic. From our point of view, knowledge about the script related to an argumentative problem is essential to intervene in an informed and clear fashion in any public controversy, and is worth introducing as an explicit content in teaching argumentative practice in the classroom. [ABSTRACT FROM AUTHOR]

Scientometrics and research evaluation describe and analyze research publications when conducting publication, citation, and topic analyses. However, what exactly is a (scientific, academic, scholarly or research) publication? This article demonstrates that there are many problems when it comes to looking in detail at quantitative publication analyses, citation analyses, altmetric analyses, and topic analyses. When is a document a publication and when is it not? We discuss authorship and contribution, formally and informally published documents, as well as documents in between (preprints, research data) and the characteristics of references, citations, and topics. What is a research publication? Is there a commonly accepted criterion for distinguishing between research and non-research? How complete and unbiased are data sources for research publications and sources for altmetrics? What is one research publication? What is the unit of a publication that causes us to count it as "1" In this regard, we report problems related to multi-author publications and their counting, weighted document types, the unit and weighting of citations and references, the unit of topics, and counting problems--not only at the article and individual researcher level (micro-level), but also at the meso-level (e.g., institutions) and macro-level (e.g., countries). Our results suggest that scientometric counting units are not reliable and clear. Many scientometric and research evaluation studies must therefore be used with the utmost caution. [ABSTRACT FROM AUTHOR]

Abstract Route schema is difficult to plan for tourists, because they demand to pick points of interest (POI) in unknown areas that align with their preferences and limitations. This research proposes a novel personalized method for POI route recommendation that employs contextual data. The proposed approach enhances the existing methods by considering user preferences and multifaceted tourism contexts. Due to the sparsity of the data, the proposed method employs two-level clustering (DBSCAN based on the Manhattan distance) that reduces the time to discover POI. In specific, this approach utilizes the following: first, a topic pattern model is employed to discover the users’ attraction diffusion while improving the user–user similarity model using a novel asymmetric schema. Second, it has used explicit demographic information to alleviate the cold start issue, and third, it proposes a new strategy for assessing user preferences and also combined the context parameters in the form of a vector model with the Term Frequency Inverse Document Frequency technique to find contexts’ similarity. Furthermore, our framework discovers a list of optimal candidate trips by involving personalized POIs in sequential patterns’ mining (SPM); also, it used an adjusted forgotten function to involve the date context of each trip. Based on two datasets (Flickr and Gowalla), our methodology beats other prior approaches in F-score, RMSE, MAP, and NDCG factors in the experimental evaluation.

Online travel blogs are a phenomenon of auteur journalism. This article describes the genre specifics of Russian-language travel blogs posted on Youtube video hosting and its development prospects. The new multimedia journalism is highly adaptable, mobile, feasible, and independent. Travel writers used to be limited to a narrow segment of TV channels and magazines; modern travel bloggers develop their own style and do not have to conform to that of the editorial board. The research featured such travel bloggers as Anton Ptushkin, Leonid Pashkovsky, and Anton Lyadov. Each blog proved to be unique it its topics, genres, and methods of presentation, which means that this sector of auteur journalism has a great potential.

This article examines the structure of double subject construction, which has been identified by researchers as a separate type of simple sentences in Chinese. The relevance of the topic is determined by the unsolved problem of explaining the role and essence of two noun phrases at the beginning of a sentence (NP1 and NP2) and a growing interest in cognitive linguistics as a relatively new and promising scientific direction. Due to the peculiarities of the Chinese language arising from its typological characteristics, a more comprehensive approach than classical syntactic analysis or topical sentence partitioning becomes necessary. Based on the analysis of the Chinese writer Lu Xuns works and the sentences in the natural speech of the native speakers, we hypothesize that the double subject construction is a referential structure, where NP1 is a reference point, and NP2 is the subject of the inner clause. A number of cognitive linguistics propositions and research findings by scholars such as Ronald Langacker, Robert Lawrence Trask, Tsao Fengfu (曹逢甫) and Wen Xu (文旭) are cited as evidence. Through diachronic analysis, the structure of the double-subject sentence is traced to a relationship of inalienable possession. It is also suggested that the relationship between NP1 and NP2 could be an identical signifier. The novelty of the findings is in the departure from traditional views of this syntactic structure according to which NP1 and NP2 belong to either the subject or the topical category.

This typological study based on data from a parallel text corpus is a two-step investigation of selectives (“topic markers”). First, a set of selectives in 81 languages from all continents is compiled on the basis of their occurrence with emphatic personal pronouns in contrast constructions. In a second step, it is explored how this set of markers is used across 19 subordinate clause domains. The results indicate that, despite much crosslinguistic diversity, the distribution of selectives across subordinate clauses is strongly constrained. Selectives in subordinate clauses are distributed following a tendency scale (no strict hierarchy, but no blatant exceptions): general relative clauses rank highest followed by conditional and temporal clauses with concessive and purpose clauses ranking lowest. No postposed subordinate clauses attract selectives. It is further found that selectives tend to occur at the end of the constituent which they have scope over where there is minimal risk of scope ambiguity. Despite the frequent occurrence of selectives on conditional clauses, selectives tend not to be conditional connectives unless this happens to be their grammaticalization source.

Abstract In this study, we reviewed publications in the International Journal of STEM Education from 2014 to 2021 to gain a glimpse of STEM education research trends in terms of authorship and topics. We analyzed publication quantities and types, authors’ profession, research topics and school levels, and the top 10 most-cited publications over the years. The results provide some encouraging indications of the expanded engagement and dynamic development in publication authorship and topics in STEM education research worldwide.

Ontology user portraits describe the semantic structure of users' interests. It is very important to study the similar relationship between user portraits to find the communities with overlapping interests. The hierarchical characteristics of user interest can generate multiple similarity relations, which is conducive to the formation of interest clusters. This paper proposed a method of overlapping community detection combining the hierarchical characteristics of user interest and the module distribution entropy of node. First, a hierarchical user interest model was constructed based on the ontology knowledge base to measure the multi-granularity topic similarity of users. Then, a heterogeneous hypergraph was established by using the multi-granularity topic similarity and the following similarity of users to represent the interest network. Based on the mechanism of module distribution entropy of nodes, the community detection algorithm was applied to identify the interested community. The real performance of the proposed algorithm on multiple networks was verified by experiments. The experimental results show that the proposed algorithm is better than the typical overlapping community detection algorithm in terms of accuracy and recall rate. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Anbar University for Languages & Literature / Magallat Gami'at Al-Anbar Li-Lugat Wa-al-Adabl is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Scientometrics and research evaluation describe and analyze research publications when conducting publication, citation, and topic analyses. However, what exactly is a (scientific, academic, scholarly or research) publication? This article demonstrates that there are many problems when it comes to looking in detail at quantitative publication analyses, citation analyses, altmetric analyses, and topic analyses. When is a document a publication and when is it not? We discuss authorship and contribution, formally and informally published documents, as well as documents in between (preprints, research data) and the characteristics of references, citations, and topics. What is a research publication? Is there a commonly accepted criterion for distinguishing between research and non-research? How complete and unbiased are data sources for research publications and sources for altmetrics? What is one research publication? What is the unit of a publication that causes us to count it as “1?” In this regard, we report problems related to multi-author publications and their counting, weighted document types, the unit and weighting of citations and references, the unit of topics, and counting problems—not only at the article and individual researcher level (micro-level), but also at the meso-level (e.g., institutions) and macro-level (e.g., countries). Our results suggest that scientometric counting units are not reliable and clear. Many scientometric and research evaluation studies must therefore be used with the utmost caution.