Similar Topics Research Articles

Can Retracted Social Science Articles Be Distinguished from Non-Retracted Articles by Some of the Same Authors, Using Benford’s Law or Other Statistical Methods?

A variety of ways to detect problems in small sample social science surveys has been discussed by a variety of authors. Here, several new approaches for detecting anomalies in large samples are presented and their use illustrated through comparisons of seven retracted or corrected journal articles with a control group of eight articles published since 2000 by a similar group of authors on similar topics; all the articles involved samples from several hundred to many thousands of participants. Given the small sample of articles (k = 15) and low statistical power, only 2/12 of individual anomaly comparisons were not statistically significant, but large effect sizes (d > 0.80) were common for most of the anomaly comparisons. A six-item total anomaly scale featured a Cronbach alpha of 0.92, suggesting that the six anomalies were moderately correlated rather than isolated issues. The total anomaly scale differentiated the two groups of articles, with an effect size of 3.55 (p < 0.001); an anomaly severity scale derived from the same six items, with an alpha of 0.94, yielded an effect size of 3.52 (p < 0.001). Deviations from the predicted distribution of first digits in regression coefficients (Benford’s Law) were associated with anomalies and differences between the two groups of articles; however, the results were mixed in terms of statistical significance, though the effect sizes were large (d ≥ 0.90). The methodology was able to detect unusual anomalies in both retracted and non-retracted articles. In conclusion, the results provide several useful approaches that may be helpful for detecting questionable research practices, especially data or results fabrication, in social science, medical, or other scientific research.

Quality of life in monogenic autoinflammatory diseases. A review.

Systemic autoinflammatory diseases (SAIDs) are a group of disorders related to defective regulation of the innate immune system. Recurrence of inflammation can severely affect the patients' outcomes with a direct or indirect impact on their physical and mental health and/or global quality of life (QoL). We therefore sought to identify currently available QoL studies for these diseases as well as measurement tools at our disposal. A systematic literature review was carried out with a focus on monogenic SAIDs. We inventoried the study designs developed in the selected publications, grouped them into similar topics, and listed the different outcome measures used for QoL. We recorded 53 bibliographic references evaluating the impact of monogenic SAIDs on the patients' QoL. These publications revealed 150 different study designs and 82 outcome measures used for their assessment. The best-explored topics were the overall patients' QoL, followed by the evaluation of their psychosocial and physical functioning. We found fair coverage of familial Mediterranean fever, poor investigation of the mixed hereditary recurrent fever (HRF) group, cryopyrin-associated periodic diseases and cherubism, and almost no study of the other monogenic SAIDs. This work revealed areas requiring further investigation such as homogenization of concepts, study of uncommon or more recent diseases, and development of more specific and validated outcome measures for SAIDs.

Input-to-State Stability for Time-Delay Systems With Large Delays

In this article, we consider the input-to-state stability (ISS) problem for a class of time-delay systems with intermittent large delays, which may cause the invalidation of traditional delay-dependent stability criteria. The topic of this article features that it proposes a novel kind of stability criterion for time-delay systems, which is delay dependent if the time delay is smaller than a prescribed allowable size. While if the time delay is larger than the allowable size, the ISS can be preserved as well provided that the large-delay periods satisfy the kind of duration condition. Different from existing results on similar topics, we present the main result based on a unified Lyapunov-Krasovskii function (LKF). In this way, the frequency restriction can be removed and the analysis complexity can be simplified. A numerical example is provided to verify the proposed results.

True Life: Poems by Adam Zagajewski

Reviewed by: True Life: Poems by Adam Zagajewski Magdalena Kay (bio) ADAM ZAGAJEWSKI True Life: Poems Trans. Clare Cavanagh. New York. Farrar, Straus and Giroux. 2023. 80 pages. THERE IS SOMETHING MAGICAL about receiving a new book by an author who is no longer living. It is an unexpected gift, bringing with it a sense of excess or what Seamus Heaney called overlife, something over and above our expectations. Although it was inevitable that Adam Zagajewski's last volume in Polish, Prawdziwe życie (2019), would be translated into English, the poet's sudden death in 2021 created a deafening silence. Zagajewski represented something more than just a talented writer—he wrote with a voice that was, and is, inimitable and enigmatic. There is nobody who sounds like Zagajewski. The curious mixture of melancholy and gratitude, of mingled horror at history and celebration of beauty, was always infused by a tenderness that was his only. Something about his voice made us readers feel as if we were speaking with a dear friend, someone with whom we had moved past awkwardness, posturing, and drama for drama's sake. His ability to create such an impression in thousands of readers and in a variety of languages is truly a feat. This is not the sort of achievement that one encounters often. The fact that Clare Cavanagh manages to translate this indefinable quality of voice from Polish into English testifies to her skill. Her work has helped earn Zagajewski a large audience in English-speaking countries; indeed, the poet states that he has come to feel as if her translations were poetic originals. If there are occasional turns of phrase that will seem more familiar in Polish than in English (such as glancing historical references that depend on shared cultural freight), they are never alienating. Such gestures have been earned by a writer who is too often seen as a historical poet pure and simple. Zagajewski will always be associated with the anti-Communist resistance that remains an integral part of his legacy, but the mature poet who continued writing after the fall of communism in eastern Europe employed a different style and tackled different subjects than the young dissident of the 1970s. Today, Zagajewski is known for his everyday subjects, his aestheticism, his tender melancholy, and his indefinable spirituality—we may call it a type of mysticism. The poet's personal history claims as great a share of our attention as the public history that he is associated with. True Life retains the same ordering of poems as its Polish predecessor, which usefully allows readers to experience Zagajewski's range: rather than clustering poems that treat similar topics, the volume is organized according to the principle of variety and surprise. It opens with "The Twentieth Century in Retirement," thus summoning the historical awareness of what Czesław Miłosz dubbed the Polish School of Poetry, yet continues with an evocation of the poet's parents, of other poets, of bygone acquaintances, of the poet's travels, and, eventually, intensely personal anecdotes. Zagajewski has asserted that his poetry is more autobiographical than that associated with the Polish School. Readers of Miłosz, however, may counter that the difference between the two is not so much in the eschewal or embrace of autobiography as in the approach taken toward it. Zagajewski's tone is strikingly modest; his emphasis is often on belonging to a humbled collective ("Rain in Lvov") or an individual self that admits its capacity for error and for growth ("Enlightenment"). His poetic self that does not cover up its vulnerability, and the unguarded quality of his poetry, are among its most welcoming qualities. Such qualities breed both tenderness and humor: as the poet is tempted to stretch out a conceit (say, the practice of noting errata, or misprints, in books as a practice that begs to be applied to life itself), so he realizes the humor this may entail. It is both self-deprecating—he can feel the ponderousness of his own metaphor—and deftly ironic, as the poet concludes that errors may be incorrigible, and the urge to correct should be treated with gentle irony rather than moralistic zeal. Click for...

Quantitative Study of Startup Valuation and Strategy Post 2022 Winter

Introduction: In 2022, the market capitalization of some publicly traded technology companies is declining. This period is commonly referred to as "winter" because it is more challenging for startups to get funding from investors. The study seeks to understand the impact of winter 2022 on the valuation and strategy of privately funded startups, focusing on five variables: sector, funding stage, relative market position, profitability, and founder's contribution/strength. Method: Quantitative analysis relies on survey responses from 180 startup founders in Indonesia who specialize in six industries: retail/e-commerce, fintech, agriculture/fisheries, healthcare, logistics, and education. Path Analysis is then applied to the data to determine the relationships between variables. Result: This research shows that profitability and founders' contributions/strengths impact startup valuation. Furthermore, relative market position and profitability have an impact on startup strategy. Finally, a decrease in valuation multiples for startups affects their strategy. Conclusion: This research can guide startup founders as they grow their businesses, especially in relation to the five variables listed above. Future research may be conducted on other variables, sectors, countries, or similar topics later/period.

A comparative analysis of text representation, classification and clustering methods over real project proposals

PurposeWhen a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals are primarily based on manual matching of similar topics, discipline areas and keywords declared by project applicants. When the number of proposals increases, this task becomes complex and requires excessive time. This paper aims to demonstrate how to effectively use the rich information in the titles and abstracts of Turkish project proposals to group them automatically.Design/methodology/approachThis study proposes a model that effectively groups Turkish project proposals by combining word embedding, clustering and classification techniques. The proposed model uses FastText, BERT and term frequency/inverse document frequency (TF/IDF) word-embedding techniques to extract terms from the titles and abstracts of project proposals in Turkish. The extracted terms were grouped using both the clustering and classification techniques. Natural groups contained within the corpus were discovered using k-means, k-means++, k-medoids and agglomerative clustering algorithms. Additionally, this study employs classification approaches to predict the target class for each document in the corpus. To classify project proposals, various classifiers, including k-nearest neighbors (KNN), support vector machines (SVM), artificial neural networks (ANN), classification and regression trees (CART) and random forest (RF), are used. Empirical experiments were conducted to validate the effectiveness of the proposed method by using real data from the Istanbul Development Agency.FindingsThe results show that the generated word embeddings can effectively represent proposal texts as vectors, and can be used as inputs for clustering or classification algorithms. Using clustering algorithms, the document corpus is divided into five groups. In addition, the results demonstrate that the proposals can easily be categorized into predefined categories using classification algorithms. SVM-Linear achieved the highest prediction accuracy (89.2%) with the FastText word embedding method. A comparison of manual grouping with automatic classification and clustering results revealed that both classification and clustering techniques have a high success rate.Research limitations/implicationsThe proposed model automatically benefits from the rich information in project proposals and significantly reduces numerous time-consuming tasks that managers must perform manually. Thus, it eliminates the drawbacks of the current manual methods and yields significantly more accurate results. In the future, additional experiments should be conducted to validate the proposed method using data from other funding organizations.Originality/valueThis study presents the application of word embedding methods to effectively use the rich information in the titles and abstracts of Turkish project proposals. Existing research studies focus on the automatic grouping of proposals; traditional frequency-based word embedding methods are used for feature extraction methods to represent project proposals. Unlike previous research, this study employs two outperforming neural network-based textual feature extraction techniques to obtain terms representing the proposals: BERT as a contextual word embedding method and FastText as a static word embedding method. Moreover, to the best of our knowledge, there has been no research conducted on the grouping of project proposals in Turkish.

Negative Linear or Unimodal: Why Forest Soil Fungal Latitudinal Diversity Differs across China.

To identify the reasons for the inconsistency in patterns of latitudinal gradients of forest soil fungal biodiversity in China, a reanalysis of data was performed. Causes are linked to the different environments of continents and islands and the inconsistency between different classification standards. The following three suggestions are made for future studies: sites on the mainland and islands should be distinguished in these types of studies, the Shannon index should be used to represent fungal diversity instead of operational taxonomic unit (OTU) richness, and using the diversity of higher taxa (such as family level) instead of OTU level represents a potential proxy for species-level diversity. IMPORTANCE Latitudinal gradients of forest soil fungal biodiversity in China have been previously investigated; however, the results of these studies were inconsistent. In the present study, I reanalyzed the data from these studies on all forest types in China and showed that the differences in forest soil fungal latitudinal diversity were caused by the different environments of continents and islands, as well as by the inconsistency between different classification standards. Accordingly, three suggestions were outlined for future studies on this and similar topics. This study makes a significant contribution to the literature because these findings can be used to improve our understanding of the forest soil fungal latitudinal diversity and as a basis for future studies.

A Discussion of Energy Poverty and Energy Injustice in The Case of Texas, U.S.

Insufficient access to modern energy resources is a crucial issue in the development of a country. Plenty of resources were devoted to measuring energy poverty, but the equality of energy access within regions is largely ignored, especially on the county-by-county level with spill-over effect analysis. This paper begins with data related to Texas household demographics and spatial distribution to construct a quantitative measurement of energy burden and energy injustice, in the case of Texas. Moran’s Index and local indicators of spatial correlation (LISA) were utilized to analyze the relationships between energy-burdened counties and their locations. Then, the spatial error model (SEM) was introduced to evaluate the spatial dependence in the error term. A statistically significant result regarding energy injustice and demographic characteristics within Texas was confirmed. The result has crucial implications regarding assessing Texas energy injustice on a county level and recognizing the factors contributing to the energy burden. The methodology and concept can be expanded into similar topics of interest.

Latent Feature Detection Using LDA in Interior Image

Interior image recommendations have been paid attention to with the development of image retrieval technology. Although a classification model is often used to model user-preferred interiors, it is not suitable for explaining why users prefer them. On the other hand, LDA, which analyzes sentence features based on latent features, can better understand sentences by estimating latent features in sentences. Therefore, we propose a latent feature estimation method in interior images by incorporating spatial features of images and LDA to understand the structure of preferred interior images by users. Specifically, instead of sentences, we use interior images to extract spatial features using BoVW based on SURF features and estimate topics based on the histograms by LDA. We compared the proposed method with subject experiments in interior images with several styles. We verified that the proposed method could estimate similar topics compared to the subject’s subjective view.

An interdisciplinary Co-authorship networking perspective on AR and human behavior: Taking stock and moving ahead

The field of augmented reality (AR) and human behavior emerged when Azuma et al. (2001) refined the term augmented reality in 2001. Research on the topic has grown steadily in the past decade, yet there is a notable lack of consensus on humans' motivations and outcomes in interacting with AR. The present research takes a bibliographic approach to shed light on current research on AR in human-computer interaction and, using topic modeling, to identify and classify the topics that have drawn researchers’ interest. The results reveal three major topics of interest to researchers, namely “Education, Learning & Training Research”, “Marketing, Consumer Behavior & Business Research”, and “Digital Tourism & Cultural Heritage Research”. Drawing upon co-authorship theory, we identify prominent AR expert co-authorship networks that work on similar topics, yet also highlight that AR research is concentrated in a few research groups that publish articles with similar groups of authors and little outside their own networks. Together with AR experts from the four largest co-authorship networks, we highlight the common challenges that emerge in AR research, suggest solutions, and jointly propose a research agenda for AR and human behavior research.

James R. Lewis

James R. Lewis

The Power of a Camera: Fieldwork Experiences From Using Participatory Photovoice

Conducting primary data collection can be a fulfilling and interesting adventure producing significant learning experiences particularly for early career researchers. However, fieldwork can be marred with complex challenges and frustrations, especially if conducted in dynamic and politically sensitive environments and with highly vulnerable urban populations. This paper contributes to and advances academic scholarship on fieldwork experiences in the social sciences. Drawing from the first author’s doctoral fieldwork experiences, we share our reflections on the application of the photovoice method in researching street traders in Harare, Zimbabwe. We engage with different issues that researchers could consider in the application of photovoice, especially with dynamic and marginalized urban populations like street traders. These include dealing with and managing complex and multiple ethical dilemmas, dealing with the content-quality conundrum, exploring ‘missing’ photographs and handling ‘leftover’ photographs, handling conflictual council-street trader relations, building rapport, and ensuring participant commitment, joint interpretation, and co-construction of meaning and methodological benefits of using photovoice with street traders. To the best of our knowledge, this is the first paper that reflects on the use of photovoice with street traders in Global South cities, and we hope that the insights presented here will be useful for future urban researchers working on similar topics.

Main path analysis considering citation structure and content: Case studies in different domains

Main path analysis (MPA) is an effective method widely accepted in science and technology for extracting knowledge diffusion paths. Traditional citation analysis assumes that all citations are treated equally. In contrast, this paper proposes a new MPA framework from the perspective of citation structure and content. Three indicators are considered to adjust edge weight: (1) Structural similarity, (2) Topic similarity and (3) Sentiment analysis. This study takes the bullwhip effect and the Internet of Things domain as examples to verify the reliability and feasibility of improved MPA. The results show that the improved main path uncovers the knowledge trajectories appropriately, which has an ability to distinguish citations and detect important papers. This research enriches MPA theory and provides future research directions from perspective of citation structure and content.

Exploring patient experiences and concerns in the online Cochlear implant community: A cross-sectional study and validation of automated topic modelling.

There is a paucity of research examining patient experiences of cochlear implants. We sought to use natural language processing methods to explore patient experiences and concerns in the online cochlear implant (CI) community. Cross-sectional study of posts on the online Reddit r/CochlearImplants forum from 1 March 2015 to 11 November 2021. Natural language processing using the BERTopic automated topic modelling technique was employed to cluster posts into semantically similar topics. Topic categorisation was manually validated by two independent reviewers and Cohen's kappa calculated to determine inter-rater reliability between machine vs human and human vs human categorisation. We retrieved 987 posts from 588 unique Reddit users on the r/CochlearImplants forum. Posts were initially categorised by BERTopic into 16 different Topics, which were increased to 23 Topics following manual inspection. The most popular topics related to CI connectivity (n= 112), adults considering getting a CI (n= 107), surgery-related posts (n= 89) and day-to-day living with a CI (n= 85). Cohen's kappa among all posts was 0.62 (machine vs. human) and 0.72 (human vs. human), and among categorised posts was 0.85 (machine vs. human) and 0.84 (human vs. human). This cross-sectional study of social media discussions among the online cochlear implant community identified common attitudes, experiences and concerns of patients living with, or seeking, a cochlear implant. Our validation of natural language processing methods to categorise topics shows that automated analysis of similar Otolaryngology-related content is a viable and accurate alternative to manual qualitative approaches.

Continuity of Life After Retirement: Perspectives Among Selected Public School Educators of Nueva Ecija

This research determined the perspectives of retiring teachers about life after retirement. A researcher-made survey tool was developed using a descriptive correlational method and went through the standard procedure of validation and reliability, gaining a 0.945 Cronbach’s Alpha mark. The tool was administered to 148 retiring teachers. Responses were statistically treated using frequency, percentage, mean and Pearson r correlations. Results revealed that the majority of the 148 respondents fell in 50-55 bracket while 13 belong to 61-65. Of the same total, 132 were female and 16 were male. In terms of civil status, 126 were married, and only two (2) were single. In terms of monthly income, 47 representing the majority has 21,000-30,000 monthly incomes in pesos. The educational attainment with the highest number was bachelors degree with masteral units, had 101 respondents. Five (5) were in an ongoing doctorate course, the lowest in number. Teachers who were about to retire have assessed themselves having good health condition both physical and mental functioning. Further, when it comes to life continuity after retirement, they assured themselves of absence of disease and disease-related disability. It was also determined that in life continuity perspective, their topmost choice was “they will uphold the values of being an educator (M=3.53)”. Relevant to life course perspective, they banked the intention that “they will be active in church (M=3.55)” as their preference and in terms of life role perspective, they opted to “they will take care of their family, especially their grandchildren (M=3.61)” as their priority role. Significant relations were also established in reference to their demographic profile and the domains of life continuity theory. It was recommended that teachers themselves must be more cautious and diligent as they plan and prepare for their retirement. Future researchers were also encouraged to pursue similar topics for further scrutiny of life after retirement.

Identifying Landscape Relevant Natural Language using Actively Crowdsourced Landscape Descriptions and Sentence-Transformers

Natural language has proven to be a valuable source of data for various scientific inquiries including landscape perception and preference research. However, large high quality landscape relevant corpora are scare. We here propose and discuss a natural language processing workflow to identify landscape relevant documents in large collections of unstructured text. Using a small curated high quality collection of actively crowdsourced landscape descriptions we identify and extract similar documents from two different corpora (Geograph and WikiHow) using sentence-transformers and cosine similarity scores. We show that 1) sentence-transformers combined with cosine similarity calculations successfully identify similar documents in both Geograph and WikiHow effectively opening the door to the creation of new landscape specific corpora, 2) the proposed sentence-transformer approach outperforms traditional Term Frequency - Inverse Document Frequency based approaches and 3) the identified documents capture similar topics when compared to the original high quality collection. The presented workflow is transferable to various scientific disciplines in need of domain specific natural language corpora as underlying data.

Mapping Uncharted Terrain: A Systematic Review of Complementary and Integrative Health Communication Using Observational Data in Biomedical Settings

ABSTRACT Complementary and integrative health (CIH) use is diverse and highly prevalent worldwide. Prior research of CIH communication in biomedical encounters address safety, efficacy, symptom management, and overall wellness. Observational methods are rarely used to study CIH communication and avoid recall bias, preserve ecological validity, and contextualize situated clinical communication. Following PRISMA guidelines, we systematically reviewed studies at the intersection of social scientific observational research and findings about CIH communication between clinicians, patients, and caregivers in biomedical settings. We identified international, peer-reviewed publications from seven databases between January 2010 and December 2020. Titles and abstracts were first screened for inclusion, then full studies were coded using explicit criteria. We used a standard checklist was modified to assess article quality. Ten of 11,793 studies examined CIH communication using observational methods for CIH communication in biomedical settings. Studies used a range of observational techniques, including participant and non-participant observation, which includes digital audio or video recordings. Results generated two broad sets of findings, one focused on methodological insights and another on CIH communication. Despite methodological and topic similarities, included studies addressed CIH communication as a process and as proximal and intermediate health outcomes. We recommend how observational studies of CIH communication can better highlight relationships between communication processes and health outcomes. Current research using observational methods offers an incomplete picture of CIH communication in biomedical settings. Future studies should standardize how observational techniques are reported to enhance consistency and comparability within and across biomedical settings to improve comparability.

Corporate Governance in Business: A Review of Qualitative Literature

The research is based on the impact of corporate governance in the business sectors. In that case, a systematic review has been done including 10 articles on similar topics. The PRISMA and CASP tool has been taken into consideration and a PICO question has been formed that highlights the agenda of the research. In addition, the primary articles have been reviewed to highlight their corporate governance is necessary for the financial status and the management of the company. Based on that, the Board of Directors (BOD) are responsible for the modification and strategizing of the corporate governance of the company. Keywords: Corporate Governance, Board of Directors, Stakeholders, Financial status and Management

A Scientific Paper Recommendation Framework Based on Multi-Topic Communities and Modified PageRank

Personalized PageRank is a variant of PageRank, widely developed for citation recommendation. However, the personalized PageRank that works with a vast amount and rich scholarly data still results in information overload. Sometimes, junior scholars still need help to arrange queries quickly because of limited domain knowledge. Senior researchers need reference papers regarding a similar topic they intend to search for and related topics as a new insight. In this research, scientific citation recommendation aims to find the most influential papers with similar and related topics. Related topic papers in serendipitous perspectives are reference papers that are novel, diversified and unexpected to a user. The unexpectedness of recommended papers can be papers with different topics to queries but still relevant. To accomplish these challenges, we propose a framework of scientific citation recommendation with serendipitous perspectives. The framework includes feature extraction of an academic citation network, selection of multi-topic communities, and ranking papers in the selected multi-topic communities by modified PageRank. Papers in the chosen communities tend to link to similar and related papers. Modified PageRank is an extension of personalized PageRank, which works on multi-topic communities and manuscript queries. The experiments reveal that the proposed models outperform some models of personalized PageRank and some models of Content-Based Filtering. The multi-topic communities-based models work more effectively than the baselines if they run in a large dataset since the topic communities become more cohesive.

Bibliometric Analysis: Analysis of Government Social Media Innovations from 2012 to 2023

Government social media innovation is a trend carried out as an effort to respond to needs in the era of technological development and as an effort to improve services, especially in the public sector. Therefore, government social media innovation has become one of the research topics developed in recent years. As research on the topic of government social media innovation continues to develop, stakeholders need an up-to-date perspective on government social media innovation research. The aim of this research is to provide an objective and accurate summary of government social media innovation research using 194 documents taken from the Scopus database and analyzed using a bibliometric approach. Research was analyzed by publication per year, country of contributor, subject area, author, affiliation, and source. This research uses the CiteSpace application to analyze connectivity trends on related topics using keywords and reference nodes. The results of this research are useful for identifying clusters and research in communities such as royal colleges, sustainable development, public service delivery, and other clusters. This research can contribute to the body of knowledge quantitatively and accurately in terms of contributing to the knowledge map regarding government social media innovation and can be used as material for research reviews on similar topics and developed in the future.