bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preoperative Expectations of Women Undergoing Breast Reconstruction Surgery
Authors: Schou-Bredal Inger , Moberg Ingvild Ona , Schou Simen Martin , Sætnan Elisabeth Valio , Fuglesteg Inger Karin , Tønseth Kim Alexander , Schlichting Ellen 
Published: June 2024

Background:
The study investigated the expectations of patients undergoing immediate breast reconstruction after mastectomy, considering factors such as the cause for mastectomy (cancer versus prophylactic due BRCA1 or BRCA2 gene mutations), age, marital status, and education.

Methods:
The study had a cross-sectional design. Eligible patients at Oslo University Hospital received a link to the BREAST-Q Expectations questionnaire, which they filled out before surgery from 2019 to 2022.

Results:
One hundred forty-six patients completed the questionnaire (79.8% response rate). The mean age was 46.6 years, and the majority (95.1%) were undergoing reconstruction with implants. Most patients (86.9%) wanted to be involved in the decision-making. The highest expectation was for breast appearance and the lowest for sensation after surgery. Patients not diagnosed with cancer (n = 27) before surgery expected significantly more pain after surgery compared with patients diagnosed with cancer (P = 0.016). Patients 40 years or younger had higher expectation of pain after surgery than patients 41 years or older, 73.2 versus 54.2, P < 0.001, respectively. After 10 years, 26.7% of the patients expected that further reconstruction procedures might be necessary.

Conclusions:
Our study’s results regarding patient’s expectations with breast reconstruction, as assessed using the BREAST-Q Expectations module, align with previous research in terms of overall trends. However, our study provides a more nuanced understanding by exploring variations within different patient subgroups. These differences emphasize the need for personalized preoperative counseling and support to align patient’s expectations with realistic outcomes.
Long-Term Results of Sterile Corneal Allograft Ring Segments Implantation in Keratoconus Treatment
Authors: Keskin Perk Fatma Feyza Nur , Tanriverdi Cafer , Karaca Zeki Yigit , Tran Khoa D. , Kilic Aylin 
Published: June 2024

Purpose:
To evaluate the efficacy and safety of sterile corneal allograft ring segments implantation for the treatment of keratoconus by analyzing long-term visual, refractive, and tomographic clinical outcomes.

Methods:
This prospective study included 62 eyes of 49 patients with keratoconus who underwent corneal allograft ring segments implantation at Istanbul Medipol University Faculty of Medicine between February 2020 and August 2022. Surgical outcomes using the Istanbul nomogram were evaluated in patients preoperatively and postoperatively at 1 month, 6 months, 1 year, and 3 years. Outcomes measured were uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), spherical equivalent (SE), spherical refraction (SR), cylindrical refraction (CR), topographic keratometric values, and corneal thickness at the thinnest point.

Results:
Preoperative mean UDVA and CDVA (LogMAR) were 0.96 ± 0.50 and 0.72 ± 0.47, respectively, and increased to 0.41 ± 0.34 and 0.22 ± 0.19 at the last visit (P < 0.001). There was a significant decrease in SE, SR, and keratometric values postoperatively (P < 0.001). There was no difference in CR and thinnest corneal thickness values (P = 0.333 and 0.154, respectively). The stromal and epithelial thicknesses measured by anterior segment optical coherence tomography were stabilized at 6 months and 1 year, respectively. No major complications or side effects were observed intraoperatively or postoperatively.

Conclusions:
This study demonstrated that sterile corneal allograft ring segments implantation is a safe and feasible treatment for keratoconus, yielding notable long-term visual outcomes with minimal implant-related complications.
Effects of quorum sensing–interfering agents, including macrolides and furanone C-30, and an efflux pump inhibitor on nitrosative stress sensitivity in Pseudomonas aeruginosa
Authors: Suzuki Shin , Morita Yuji , Ishige Shota , Kai Kiyohiro , Kawasaki Kenji , Matsushita Kazuyuki , Ogura Kohei , Miyoshi-Akiyama† Tohru , Shimizu Takeshi 
Published: June 2024

Graphical Abstract
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Fission yeast Caprin protein is required for efficient heterochromatin establishment
Authors: Zhang Haidao , Kapitonova Ekaterina , Orrego Adriana , Spanos Christos , Strachan Joanna , Bayne Elizabeth H. 
Published: June 2024

AbstractHeterochromatin is a key feature of eukaryotic genomes that serves important regulatory and structural roles in regions such as centromeres. In fission yeast, maintenance of existing heterochromatic domains relies on positive feedback loops involving histone methylation and non-coding RNAs. However, requirements forde novoestablishment of heterochromatin are less well understood. Here, through a cross-based assay we have identified a novel factor influencing the efficiency of heterochromatin establishment. We determine that the previously uncharacterised protein is an ortholog of human Caprin1, an RNA-binding protein linked to stress granule formation. We confirm that the fission yeast ortholog, here named Cpn1, also associates with stress granules, and we uncover evidence of interplay between heterochromatin integrity and ribonucleoprotein (RNP) granule formation, with heterochromatin mutants showing reduced granule formation in the presence of stress, but increased granule formation in the absence of stress. We link this to regulation of non-coding heterochromatic transcripts, since in heterochromatin-deficient cells, absence of Cpn1 leads to hyperaccumulation of centromeric RNAs at centromeres. Together, our findings unveil a novel link between RNP homeostasis and heterochromatin assembly, and implicate Cpn1 and associated factors in facilitating efficient heterochromatin establishment by enabling removal of excess transcripts that would otherwise impair assembly processes.
Discovering and early predicting popularity evolution patterns of social media emergency information
Authors: Yuan Delin , Li Yang 
Published: June 2024

PurposeWhen emergencies occur, the attention of the public towards emergency information on social media in a specific time period forms the emergency information popularity evolution patterns. The purpose of this study is to discover the popularity evolution patterns of social media emergency information and make early predictions.Design/methodology/approachWe collected the data related to the COVID-19 epidemic on the Sina Weibo platform and applied the K-Shape clustering algorithm to identify five distinct patterns of emergency information popularity evolution patterns. These patterns include strong twin peaks, weak twin peaks, short-lived single peak, slow-to-warm-up single peak and slow-to-decay single peak. Oriented toward early monitoring and warning, we developed a comprehensive characteristic system that incorporates publisher features, information features and early features. In the early features, data measurements are taken within a 1-h time window after the release of emergency information. Considering real-time response and analysis speed, we employed classical machine learning methods to predict the relevant patterns. Multiple classification models were trained and evaluated for this purpose.FindingsThe combined prediction results of the best prediction model and random forest (RF) demonstrate impressive performance, with precision, recall and F1-score reaching 88%. Moreover, the F1 value for each pattern prediction surpasses 87%. The results of the feature importance analysis show that the early features contribute the most to the pattern prediction, followed by the information features and publisher features. Among them, the release time in the information features exhibits the most substantial contribution to the prediction outcome.Originality/valueThis study reveals the phenomena and special patterns of growth and decline, appearance and disappearance of social media emergency information popularity from the time dimension and identifies the patterns of social media emergency information popularity evolution. Meanwhile, early prediction of related patterns is made to explore the role factors behind them. These findings contribute to the formulation of social media emergency information release strategies, online public opinion guidance and risk monitoring.
Localizing urban buildings carbon emissions reduction: causes and strategies
Authors: Mensah Sarfo , Ameyaw Collins , Yeboah William Appiah 
Published: June 2024

PurposeThe lack of carbon emission reduction strategies specifically devised for buildings in urban areas in developing countries has affected the global course of tackling carbon emissions. The purpose of this study is to identify the causes of carbon emissions from buildings in urban settings in Ghana and generate specific reduction strategies.Design/methodology/approachThe study was conducted with reference to Kumasi Metropolis, an urban area in Ghana. Adopting a survey research design, data obtained from 106 built environment professionals (BEP) were analyzed using Garrett’s mean ranking and factor analysis (FA) techniques.FindingsUrban buildings’ carbon emissions in the study area are attributable to construction, demolition energy consumption, technological and economic factors. The strategies emerging from the study emphasize organizational and governmental policy and regulatory factors, as well as the adoption of indigenous sustainable materials and technology.Practical implicationsBEPs and construction industry regulatory bodies will have to consider socioeconomic characteristics of a specific location in the development of organizational and localized carbon emission reduction policies.Social implicationsLocal authorities who plan economic activities such as trading and associated taxation in urban areas in developing countries should consider the climate change implications of such socioeconomic activities.Originality/valueThis is one of the first studies that has conceived carbon emission causes and reduction strategies within the context of a typical developing country’s urban setting to overcome the pragmatic challenges associated with past carbon emission reduction frameworks.
Determinants of digital technology adoption in sub-Sahara Africa: Ghana
Authors: Naatu Felicia , Selormey Felix Sena , Naatu Stephen 
Published: June 2024

PurposeThis study delves into how perceived ease of use and perceived usefulness impacts consumer attitude and intention to adopt digital technologies in Ghana.Design/methodology/approachWe utilized covariance-based structural equation modeling with a dataset consisting of 204 respondents to evaluate the model. The analysis was conducted using R (version 0.6–12).FindingsThe results confirm that both perceived ease of use and perceived usefulness are key predictors of the intention to adopt technology. Additionally, factors such as attitude, subjective norms and perceived behavioral control also play a significant role in influencing adoption intent. Notably, the research indicates that perceived ease of use not only impacts peer influence among consumers, but also shapes their confidence in effectively using the technology. Furthermore, in contrast to previous studies, this investigation suggests that while perceived behavioral control impacts behavioral intent, it does not predict attitude in the Ghanaian context. The study advocates for development of user-centric technologies, promotion of digital literacy and cultivation of a digital culture.Research limitations/implicationsOur use of a single country data restricts generalizability of the study. For a more comprehensive and profound understanding, we recommend a broader study across multiple sub-Saharan African countries with a mixed method or qualitative approach.Originality/valueThe significance of this research lies in its original contribution to the field in providing crucial insights for governments and industry players. It sheds light on factors influencing user readiness to adopt technology and makes a substantial contribution to the ongoing discussion on digital technology adoption in literature.
Uncovering the dynamic decision-making behaviours of multiple stakeholders in the community public infrastructure
Authors: Li Qian , Zhang Qi , Shen Yuyan , Zhang Xiang 
Published: June 2024

Purpose
The elevator installation in old communities (EIOC) can effectively improve the public infrastructure of urban communities. However, differences in the decision-making behaviours of stakeholders lead to frequent conflicts, thereby hindering the implementation of EIOC. The purpose of this study is to explore the decision-making behavior of core stakeholders which are the government, community owners and elevator enterprises at different stages in the EIOC using the evolutionary game method.

Design/methodology/approach
A tripartite evolutionary game model involving the government, community owners and elevator enterprises was developed, and their evolutionary stabilisation strategies were explored in different stages. The dynamic change of the stakeholders' decision-making behaviours at different stages of the project and the influencing mechanism of the key factors on the decision-making behaviours of the three stakeholders were analysed through numerical simulation.

Findings
The results of this study showed that: Divergent interests led the government, community owners and elevator enterprises to adopt distinct decision-making behaviours at different stages, resulting in diverse attitudes and actions among stakeholders. A dynamic reward and penalty mechanism effectively motivated community owners and elevator enterprises to engage actively, fostering broad participation. However, the high regulatory cost diminished the government's regulatory effectiveness. This imbalance between penalties and incentives posed a challenge, impacting the overall effectiveness and efficiency of implementing the EIOC.

Originality/value
Existing research lacks exploration of the decision-making behaviours of stakeholders in community public infrastructure. This study developed a dynamic tripartite evolutionary game model in the EIOC from the gaming perspective. The results of this study provide a reference for dealing with the stakeholders' interests in the community public infrastructure and contribute to the theoretical basis for establishing an effective supervision mechanism.
Nurse middle managers’ proactive work behavior: antecedents and consequences on innovative work behavior and job performance
Authors: Pierre Lucie , Cangialosi Nicola , Déprez Guillaume R. M. 
Published: June 2024

PurposeHealthcare organizations require more proactive behaviors from nursing professionals. However, nurse managers’ proactivity has rarely been analyzed in the literature and little is known about the antecedents and consequences of their proactive behavior at work. This study examines the relationships between job characteristics (i.e. job autonomy and job variety), psychological empowerment, proactive work behavior and job effectiveness indicators (i.e. innovative work behavior, job performance). We tested a model in which psychological empowerment and proactive work behavior sequentially mediate the relationship between job characteristics and job effectiveness.Design/methodology/approachA cross-sectional study was conducted among nurse middle managers from a French hospital (N = 321). A hypothetical model was developed based on existing theory. Structural equation modeling was used to test the hypotheses.FindingsResults show that psychological empowerment and proactive work behavior fully mediate the relationship between job characteristics and innovative work behavior, and partially mediate the relationship between job characteristics and job performance.Originality/valueThis study provides insights for understanding how job characteristics can contribute to fostering the proactivity of nurse middle managers and how their proactive work behavior can be positively related to innovative work behavior and job performance. Findings raise several implications for hospital administrators and upper management seeking new ways to enhance nurse middle managers' proactive work behavior and push further their effectiveness at work.
Multi‐omics analysis of antagonistic interactions among free‐living Pseudonocardia from diverse ecosystems
Authors: Parra Jonathan , Jarmusch Scott A. , Duncan Katherine R. 
Published: June 2024

AbstractActinomycetes are a phylogenetically diverse bacterial group which are widely distributed across terrestrial and aquatic ecosystems. Within this order, the genus Pseudonocardia and their specialised metabolites have been the focus of previous ecological studies due to their antagonistic interactions with other microorganisms and their mutualistic interactions with insects. However, the chemical ecology of free‐living Pseudonocardia remains understudied. This study applies a multi‐omics approach to investigate the chemical ecology of free‐living actinomycetes from the genus Pseudonocardia. In a comparative genomics analysis, it was observed that the biosynthetic gene cluster family distribution was influenced mainly by phylogenetic distance rather than the geographic or ecological origin of strains. This finding was also observed in the mass spectrometry‐based metabolomic profiles of nine Pseudonocardia species isolated from marine sediments and two terrestrial species. Antagonist interactions between these 11 species were examined, and matrix‐assisted laser desorption/ionisation‐mass spectrometry imaging was used to examine in situ chemical interactions between the Southern Ocean strains and their phylogenetically close relatives. Overall, it was demonstrated that phylogeny was the main predictor of antagonistic interactions among free‐living Pseudonocardia. Moreover, two features at m/z 441.15 and m/z 332.20 were identified as metabolites related to these interspecies interactions.
Cutaneous shedding in amphibians causes shifts in bacterial microbiomes
Authors: WEITZMAN Chava L. , BROWN Gregory P. , GIBB Karen , CHRISTIAN Keith 
Published: June 2024

AbstractConsiderable research has focused on microbes on amphibian skin, as they act as the first line of defense against invading pathogens. This effort has generated substantial data on patterns across species, space, time, and ontogeny, alongside a growing list of beneficial antifungal symbionts. Though there is evidence of stability in amphibian skin microbial communities, there is also an indication that regular skin shedding reduces cultivable bacteria, with regrowth and recolonization in the period between sheds. This suggests that skin communities are in constant flux, and we lack an understanding of how the membership and structure of those communities are affected by shedding events. In this study, we conducted experiments on cane toads (Rhinella marina) to investigate the influence of shedding on skin microbiomes. We first used quantitative PCR to verify a positive correlation between bacterial loads and time in the days after shedding. We then resampled individuals over time to describe changes in community composition in the 38 h after shedding using amplicon sequencing. Similar to trends of bacterial loads, we found increases in alpha diversity over time after shedding, suggesting that shedding reduces bacterial diversity as it knocks down bacterial loads. During the 38‐h period, community structure became similar to pre‐shed communities in some individuals, but there was no consistent pattern in structural changes among individuals. In light of the amphibian chytridiomycosis pandemic, understanding how physiological events such as skin shedding affect beneficial bacteria and communities on amphibians would provide important insight into amphibian ecology.
Multi‐omic analysis of dysregulated pathways in triple negative breast cancer
Authors: Sajjad Fatima , Jalal Ahmer , Jalal Amir , Gul Zulekha , Mubeen Hira , Rizvi Seemal Zahra , un‐Nisa Ex Alim , Asghar Andleeb , Butool Farah 
Published: June 2024

AbstractThe aggressive characteristics of triple‐negative breast cancer (TNBC) and the absence of targeted medicines make TNBC a challenging clinical case. The molecular landscape of TNBC has been well‐understood thanks to recent developments in multi‐omic analysis, which have also revealed dysregulated pathways and possible treatment targets. This review summarizes the utilization of multi‐omic approaches in elucidating TNBC's complex biology and therapeutic avenues. Dysregulated pathways including cell cycle progression, immunological modulation, and DNA damage response have been uncovered in TNBC by multi‐omic investigations that integrate genomes, transcriptomics, proteomics, and metabolomics data. Methods like this pave the door for the discovery of new therapeutic targets, such as the EGFR, PARP, and mTOR pathways, which in turn direct the creation of more precise treatments. Recent developments in TNBC treatment strategies, including immunotherapy, PARP inhibitors, and antibody‐drug conjugates, show promise in clinical trials. Emerging biomarkers like MUC1, YB‐1, and immune‐related markers offer insights into personalized treatment approaches and prognosis prediction. Despite the strengths of multi‐omic analysis in offering a more comprehensive view and personalized treatment strategies, challenges exist. Large sample sizes and ensuring high‐quality data remain crucial for reliable findings. Multi‐omic analysis has revolutionized TNBC research, shedding light on dysregulated pathways, potential targets, and emerging biomarkers. Continued research efforts are imperative to translate these insights into improved outcomes for TNBC patients.
Cognitive decline in Sprague–Dawley rats induced by neuroplasticity changes after occlusal support loss
Authors: Wang Xiaoyu , Pang Qian , Hu Jiangqi , Luo Bin , Lu Yunping , Sun Xu , Meng Shixiang , Jiang Qingsong 
Published: June 2024

AbstractBackgroundTooth loss is closely related to cognitive impairment, especially affecting cognitive functions involving hippocampus. The most well‐known function of the hippocampus is learning and memory, and the mechanism behind is neuroplasticity, which strongly depends on the level of brain‐derived neurotrophic factor (BDNF). While research has delved into the possible mechanisms behind the loss of teeth leading to cognitive dysfunction, there are few studies on the plasticity of sensory neural pathway after tooth loss, and the changes in related indicators of synaptic plasticity still need to be further explored.MethodsIn this study, the bilateral maxillary molars were extracted in Sprague–Dawley rats of two age ranges (young and middle age) to establish occlusal support loss model; then, the spatial cognition was tested by Morris Water Maze (MWM). Quantitative real‐time PCR (qPCR) and Western Blotting (WB) were used to detect BDNF, AKT, and functional proteins (viz., PSD95 and NMDAR) of hippocampal synapses. Golgi staining was used to observe changes in ascending nerve pathway. IF was used to confirm the location of BDNF and AKT expressed in hippocampus.ResultsMWM showed that the spatial cognitive level of rats dropped after occlusal support loss. qPCR, WB, and IF suggested that the BDNF/AKT pathway was down‐regulated in the hippocampus. Golgi staining showed the neurons of ascending sensory pathway decreased in numbers.ConclusionOcclusal support loss caused plastic changes in ascending nerve pathway and induced cognitive impairment in rats by down‐regulating BDNF and synaptic plasticity.