bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of luck in the success of social media influencers
Authors: Ionescu Stefania , Hannák Anikó , Pagan Nicolò 
Published: July 2023

Abstract
Motivation
Social media platforms centered around content creators (CCs) faced rapid growth in the past decade. Currently, millions of CCs make livable incomes through platforms such as YouTube, TikTok, and Instagram. As such, similarly to the job market, it is important to ensure the success and income (usually related to the follower counts) of CCs reflect the quality of their work. Since quality cannot be observed directly, two other factors govern the network-formation process: (a) the visibility of CCs (resulted from, e.g., recommender systems and moderation processes) and (b) the decision-making process of seekers (i.e., of users focused on finding CCs). Prior virtual experiments and empirical work seem contradictory regarding fairness: While the first suggests the expected number of followers of CCs reflects their quality, the second says that quality does not perfectly predict success.

Results
Our paper extends prior models in order to bridge this gap between theoretical and empirical work. We (a) define a parameterized recommendation process which allocates visibility based on popularity biases, (b) define two metrics of individual fairness (ex-ante and ex-post), and (c) define a metric for seeker satisfaction. Through an analytical approach we show our process is an absorbing Markov Chain where exploring only the most popular CCs leads to lower expected times to absorption but higher chances of unfairness for CCs. While increasing the exploration helps, doing so only guarantees fair outcomes for the highest (and lowest) quality CC. Simulations revealed that CCs and seekers prefer different algorithmic designs: CCs generally have higher chances of fairness with anti-popularity biased recommendation processes, while seekers are more satisfied with popularity-biased recommendations. Altogether, our results suggest that while the exploration of low-popularity CCs is needed to improve fairness, platforms might not have the incentive to do so and such interventions do not entirely prevent unfair outcomes.
Occurrence and distribution of Grapevine pinot gris virus and other grapevine viruses in German viticultural regions
Authors: Messmer Noemi , Bohnert Patricia , Askani Lars , Schumacher Stefan , Voegele Ralf T. , Fuchs René 
Published: July 2023

AbstractTo determine the occurrence and distribution of prevalent viruses in commercially important vineyards, a survey was carried out in all thirteen wine-growing regions in Germany. Results reveal that the recently emerged Grapevine pinot gris virus (GPGV) was the most abundant virus with a percentage of 18% prevalence, followed by 13% Grapevine fleck virus (GFkV), 9% Grapevine leafroll-associated virus 1 (GLRaV-1), 4% Grapevine fanleaf virus (GFLV), 2% Raspberry ringspot virus (RpRSV), 2% Arabis mosaic virus (ArMV) and 2% Grapevine leafroll-associated virus 3 (GLRaV-3). Distribution of some viruses varies greatly between individual regions, thus regional hotspots or gradients were detected. GPGV for example is mostly found in southeastern Germany, while its incidence decreases to the north along the river Rhine. The findings of this survey provide an overview of the allocation of the most prevalent grapevine viruses in Germany and can support regional virus management and national risk assessment especially GPGV.
Stance-Conveying Hashtag Functions in Organic Food Tweets: #youneedtoknow
Authors: Seitanidi Eleni , Simaki Vasiliki , Paradis Carita 
Published: July 2023

AbstractThis corpus-based study examines how writers of tweets about organic food use hashtags to direct readers towards the preferred tweet interpretation while expressing their stance to organic food. Our aim is to identify the functions stance-conveying hashtags serve in these tweets. To this end, we draw on Du Bois’ (2007) approach to stance and Francis’ (1994) analysis of metalinguistic labels. We analyse the tweets in which the sixteen most frequent stance-conveying hashtags occur in our corpus. We carry out a qualitative analysis where we identify four stance-conveying hashtag functions: (1) taking a stance, (2) expressing the tweet writer’s feelings, (3) invoking the reader’s stance and (4) indicating the intended tweet interpretation, which includes (4.1) expressing a directive and potentially presenting it as being of a specific type (deontic hashtags), and (4.2) commenting on the epistemic status of the information in the tweet (epistemic hashtags). We evaluate the categorisation scheme based on two annotation rounds and measure inter-annotator agreement. The study highlights the role of deontic hashtags (e.g., #advice) and epistemic hashtags (e.g., #truth) in directing the readers towards a particular interpretation, which may cause readers to ignore certain tweet aspects, thus homing in on the interaction between stance-taking hashtags and what is conveyed by the tweet in their scope. We offer explanations for the different roles of these hashtags as meta-discursive instructions, whereby tweeters point out to their readers what they should do, think or feel in relation to the message of the tweet. Our findings illustrate how hashtags are strategically exploited by writers for communicative purposes.
Performance evaluation of treated coconut fibre in cementitious system
Authors: Olonade Kolawole Adisa , Savastano Junior Holmer 
Published: July 2023

AbstractIn this study, concentrated cement pore solution (CPS) was prepared and coconut fibre was soaked in it, to mimic worst condition of cementitious medium. Four coconut fibre samples were studied; the first was untreated fibre (NT), the second sample was NaOH treated fibre, while the third and fourth samples were NT and NaOH fibres soaked in CPS for 28 days, respectively. Each fibre was characterized by determining their physical and mechanical properties. Hydrophilic/hydrophobic characters were determined by measuring contact angles in water, while surface morphology of the fibre samples were studied with the aid of scanning electron microscopy. EDS was used to determine the elemental composition of the fibres, while Thermogravimetric analysis was performed to assess thermal stability of the fibre samples. Crystallinity of the fibres as well as the functional group composition present in each fibre samples, was determined using XRD and FTIR respectively. The results showed that fibres treated with NaOH and those exposed to CPS had higher densities (1.94 g/cm3) than untreated fibre (1.64 g/cm3), while the tensile strength was greatly increased by about 120%. SEM images of the fibres indicated that NaOH and CPS caused removal of lignin and hemicellulose, making the lumens to be smaller compared to untreated fibre. Similarly, crystallinity of the fibre was increased due to NaOH and CPS treatment, compared to the untreated fibres. CPS was found to improve thermal stability of the fibres. It was concluded that CPS did not pose any threat to performance of fibre.
Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete
Authors: Alaneme George Uwadiegwu , Olonade Kolawole Adisa , Esenogho Ebenezer 
Published: July 2023

AbstractThe need to employ technology that replaces traditional engineering methods which generate gases that worsen our environment has emerged in an era of dwindling ecosystem owing to global warming has a negative influence on the earth system’s ozone layer. In this study, the exact method of using artificial intelligence (AI) approaches in sustainable structural materials optimization was investigated to ensure that concrete construction projects for buildings have no negative environmental effects. Since they are used in the forecasting/predicting of an agro-waste-based green geopolymer concrete system, the intelligent learning algorithms of Fuzzy Logic, ANFIS, ANN, GEP and other nature-inspired algorithms were reviewed. A systematic literature search was conducted to identify relevant studies published in various databases. The included studies were critically reviewed to analyze the types of AI techniques used, the research methodologies employed, and the main findings reported. To meticulously sort the crucial components of aluminosilicate precursors and alkaline activators blend and to optimize its engineering behavior, laboratory methods must be carried out through the mixture experiment design and raw materials selection. Such experimental activities often fall short of the standards set by civil engineering design guidelines for sustainable construction purposes. At some instances, specific shortcomings in the design of experiments or human error may degrade measurement correctness and cause unforeseen discharge of pollutants. Most errors in repetitive experimental tests have been eliminated by using adaptive AI learning techniques. Though, as an extensive guideline for upcoming investigators in this cutting-edge and developing field of AI, the pertinent smart intelligent modelling tools used at various times, under varying experimental testing methodologies, and leveraging different source materials were addressed in this study review. The findings of this review study demonstrate the benefits, challenges and growing interest in utilizing AI techniques for optimizing geopolymer-concrete production. The review identified a range of AI techniques, including machine learning algorithms, optimization models, and performance evaluation measures. These techniques were used to optimize various aspects of geopolymer-concrete production, such as mix design, curing conditions, and material selection.
Age-related changes in the temporal structure of song in the common rosefinch Erythrina erythrina
Authors: Parapura Agnieszka , Mitrus Cezary , Golawski Artur 
Published: July 2023

AbstractBird species that have visual differences in plumage coloration between young and older males may also differ in their song parameters. We have studied the difference in song rate between yearlings vs. older males in the common rosefinch Erythrina erythrina, a species with delayed plumage maturation. Yearlings sang 2.3 more strophes per minute compared to older males, and the breaks between strophes were 1.3 s shorter in young males. The higher singing rate of yearling males is probably a form of compensation for lower age (male quality), which may be important in finding a mate or avoiding aggression from older males.
Comparison of treatment outcomes between growth-sparing instrumentation and definitive one-stage fusion for EOS patients ages 6–10 years
Authors: Johnston Charles E. , Thornberg David C. , Palmer Robert 
Published: July 2023

Abstract
Purpose
To compare objective outcomes for EOS patients age 6–10 years treated by growth-sparing (GS) surgery or definitive one-stage correction and fusion (DF).

Methods
We reviewed surgical, radiographic, PFT’s, and EOSQ-24 outcomes for EOS patients > age 6 at index surgery treated at a single institution, minimum 2-year follow-up. Neuromuscular diagnoses were excluded.

Results
47 patients underwent index surgery between age 6 and 10.9 years. Twenty-one had DF, 26 had GS surgery (13 MCGR, 13 TGR). Diagnoses included 15 congenital, 15 idiopathic, 17 syndromic. Age at index was 9.1 years DF, 7.8 GS (p < .001). Follow-up was 63–78 months. 18/26 GS cases converted to DF, 13 due to complications, which occurred in 8/21 DF cases vs 19/26 GS (p = .016). DF patients had fewer post-index surgeries (0.6 vs 3.7, p < .001). At follow-up there were no differences in curve magnitudes, %correction, T1–12/T1-S1 segment lengths, EOSQ-24 scores or PFTs. 18 patients converting to DF after initial GS had equal outcomes as DF initially. 31 patients > age 8 at index (“tweeners”) were studied separately. 13 had GS surgery (7 MCGR), 18 had DF. At > 60 months follow-up, curve magnitudes, spine lengths, PFT’s, or EOSQ scores were equivalent. DF patients had fewer procedures and complications.

Conclusion
For patients age 6–10.9 years, outcomes were no different at > 5 year follow-up between DF and GS groups. DF patients had fewer total surgeries and complications. Equal outcomes also occurred for tweeners. As a result, GS treatment does not appear to benefit patients > age 8.
Big data and predictive analytics and Malaysian micro-, small and medium businesses
Authors: Vachkova Maya , Ghouri Arsalan , Ashour Haidy , Isa Normalisa Binti Md , Barnes Gregory 
Published: July 2023

AbstractInnovative technologies such as big data and predictive analytics are facilitating a global revolution in operational management. The present study aims to investigate the extent of their adoption among micro-, small and medium enterprises. The context of choice is Malaysia—a growing economy hosting some of the relatively more technologically advanced enterprises in ASEAN union. The research plan of the present paper pursued three objectives. First, we aimed to identify the general rate of adoption of BDPA. Second, we explored the most common uses of this set of innovations in Malaysian micro-, small, and medium enterprises. Third, we strove to abstract the antecedents and consequences of BDPA in micro-, small, and large firms in the manufacturing and service sectors. We discovered that BDPA are almost never used to outsource suppliers or to optimise spending and purchasing. Conversely, the most frequent applications of BDPA are in customer relationship management and in warehouse and operations improvement. Moreover, we smaller firms are more resilient to the challenges of adopting BDPA than their smaller and larger counterparts. Thus, this paper presents a snapshot of the BDPA dissemination in the micro-, small and medium ecosystem in Malaysia in 2021, while exploring opportunities for the future development and dissemination of this set of innovations.
Losing Ground: Targeting Agricultural Land Take by Enabling a Circular Economy in Construction
Authors: Kourmouli Angeliki , Lesniewska Feja 
Published: July 2023

AbstractAmong the numerous causes of soil degradation, one of the most severe and difficult to reverse is land take. Land take results in the loss of valuable ecosystem services that negatively impact soil health, especially in agricultural areas. The main drivers of land take are increased provision of housing, schools, hospitals, industrial and commercial sites, transport networks and infrastructures, mines, quarries and waste dumpsites. Globally, the rate and scale of land take is increasing. Given the impact on soil ecosystem services such as the carbon, hydrological and nitrogen cycles, preventing agricultural land take is essential if the triple planetary ecological crises of climate change, biodiversity loss and pollution are to be addressed. Most countries use sustainable management techniques to limit land take by development projects. In this opinion paper, we argue that the circular economy concept could help to establish an alternative perspective on how to understand and address the agricultural land take problem. Law and policy need to foster a systemic transition to a circular economy throughout the entire construction sector’s multiple material life cycles if it is to significantly reduce land take. We use England as a case study to show how the UK government can revise and build on current policy to enable a transition to a more circular construction sector. The case study provides valuable lessons for other countries at a crossroad on land use policy on how fostering a circular construction economy can reduce land take and maintain agricultural soil’s ecological services.
Simple Models of Complex Mechanics for Improved Hypertension Care: Learning to De-stiffen Arteries
Authors: Pewowaruk Ryan J. 
Published: July 2023

AbstractArteries can stiffen via different mechanisms due to the distending effects of blood pressure, the extracellular (ECM) and vascular smooth muscle cells (VSMC). This short review discusses how these simple models can be applied to the complex biomechanics of arteries to gain physiological insight into why an individual’s arteries are stiff and identify new therapeutic strategies. In the Multi-Ethnic Study of Atherosclerosis, the important question of whether arteries stiffen with aging due to load-dependent or structural stiffening was investigated. Structural stiffening was consistently observed with aging, but load-dependent stiffening was highly variable. Importantly, the high load-dependent stiffness was associated with future cardiovascular disease events, but structural stiffness was not. Clinical studies in older, hypertensive adults surprisingly show that decreasing vascular smooth muscle tone can cause clinically significant increases in arterial stiffness. To understand this paradox, the author developed a model simple enough for clinical data but with biologically relevant extracellular matrix (ECM) and vascular smooth muscle cell (VSMC) stiffness parameters. The effect of VSMC tone on arterial stiffness depends on the ECM–VSMC stiffness ratio. Future research is needed to develop a framework that incorporates both the blood pressure dependence of arterial stiffness and the VSMC–ECM interaction on hemodynamics. This could result in personalized arterial stiffness treatments and improved CVD outcomes. The subtitle of this review is “Learning to De-Stiffen Arteries” because our results have so far only shown that we can acutely make arteries stiffer. We are optimistic though that the findings and the analytic techniques covered here will be one of the many steps along the path of the arterial stiffness research community learning how to de-stiffen arteries.
Intimate Partner Femicide–Suicide in Eswatini: Offenders, Victims, Incident Characteristics and Sociocultural Contexts
Authors: Adinkrah Mensah 
Published: July 2023

AbstractThe current article reports the results of a systematic study of 42 intimate partner femicide–suicides with 91 fatal casualties in Eswatini, Africa, from 2009 to 2022. The study used a media-surveillance methodology to identify the 42 cases from a major local online newspaper. Information on all identified cases was subjected to careful criminological analyses. Six of the cases involved seven collateral, or corollary, homicide victims. Results indicate that assailants and victims were generally of lower socio-economic background; assailants tended to be older than their victims; stabbing with a knife, shooting with a gun and slashing with a machete were the dominant homicide methods; ingestion of weevil tablets and other poisons, hanging and shooting with a firearm were the predominant suicide means. The results further show that femicide incidents overwhelmingly involved overkill, with the assailant using inordinately high levels of aggression against the victim. Male sexual jealousy, rage over the female partner’s abrogation of the relationship, and interpersonal disputes of variable origin were the major precipitants. It is recommended that deterrent sentences should be used to teach wife assaulters and would-be assaulters that society does not tolerate assaultive behaviour within intimate relationships. More resources should be provided for women who are victims of domestic violence. This should include legal aid, financial resources and refuges for women in danger and their children. Measures should be taken to control the proliferation of firearms in society.
Masked transformer through knowledge distillation for unsupervised text style transfer
Authors: Scalercio Arthur , Paes Aline 
Published: July 2023

AbstractText style transfer (TST) aims at automatically changing a text’s stylistic features, such as formality, sentiment, authorial style, humor, and complexity, while still trying to preserve its content. Although the scientific community has investigated TST since the 1980s, it has recently regained attention by adopting deep unsupervised strategies to address the challenge of training without parallel data. In this manuscript, we investigate how relying on sequence-to-sequence pretraining models affects the performance of TST when the pretraining step leverages pairs of paraphrase data. Furthermore, we propose a new technique to enhance the sequence-to-sequence model by distilling knowledge from masked language models. We evaluate our proposals on three unsupervised style transfer tasks with widely used benchmarks: author imitation, formality transfer, and polarity swap. The evaluation relies on quantitative and qualitative analyses and comparisons with the results of state-of-the-art models. For the author imitation and the formality transfer task, we show that using the proposed techniques improves all measured metrics and leads to state-of-the-art (SOTA) results in content preservation and an overall score in the author imitation domain. In the formality transfer domain, we paired with the SOTA method in the style control metric. Regarding the polarity swap domain, we show that the knowledge distillation component improves all measured metrics. The paraphrase pretraining increases content preservation at the expense of harming style control. Based on the results reached in these domains, we also discuss in the manuscript if the tasks we address have the same nature and should be equally treated as TST tasks.
Validation of the Japanese version of the full and short form Trust in Oncologist Scale
Authors: Asai Mariko , Fujimori Maiko , Kamo Yuiko , Hillen Marij A. , Oishi Takayuki , Miyashita Mitsunori , Mori Masanori , Morita Tatsuya , Uchitomi Yosuke 
Published: July 2023

AbstractObjectivesThis study aimed to validate the Japanese versions of the Trust in Oncologist Scale (TiOS-J) and the TiOS-Short Form (TiOS-SF-J).MethodsA cross-sectional web-based survey was conducted among cancer patients in Japan. The forward-backward translation method was used to develop the TiOS-J. The web-based survey was mailed to 633 people, of whom 309 responded. After 2 weeks, 103 among the 156 first-time respondents completed the second survey to verify the reliability of the retest method. The validity was evaluated by exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman’s correlation coefficients between the Patient Satisfaction Questionnaire-Japanese, willingness to recommend the oncologist, trust in health care, and number of oncological consultations. To evaluate reliability, Cronbach’s α and test–retest correlation were calculated.ResultsThe theoretically driven four-factor model and the EFA-driven one-factor model of the full-form TiOS-J (18 items) did not result in an acceptable fit; however, CFA supported the one-dimensionality of the 5 items from the TiOS-SF-J (χ2 (5) = 12.36, p = 0.03, goodness-of-fit index = 0.984, adjusted goodness-of-fit index = 0.952, comparative fit index = 0.991, and root mean square error of approximation = 0.069). With regard to the reliability of TiOS-J and TiOS-SF-J, the Cronbach’s alpha values were 0.94 and 0.89, respectively; the test–retest values were 0.82 and 0.78.Significance of ResultsThis study indicated that the TiOS-J and TiOS-SF-J are valid and reliable instruments for measuring patients’ trust in their oncologists and can be used to assess trust in oncologists for both clinical and research purposes.