bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the strategies opioid manufacturers used to recruit health professionals and encourage overprescribing: an analysis of industry documents
Authors: Lee Christie , Tsui Allison , Xu Selina , Apollonio Dorie E. 
Published: August 2024

Abstract
Background
More than 263,000 individuals died due to prescription opioid misuse between 1999 and 2020. Between 2013 and 2015 alone, pharmaceutical companies spent over $39 million to market opioids to over 67,000 prescribers. However, there is still limited information about differences in provider responses to promotions for medications. In this study we investigated and evaluated strategies used by opioid manufacturers to encourage overprescribing, specifically focusing on oncology.

Methods
We conducted a retrospective review of opioid industry documents released in litigation between 1999 and 2021. We began with a preliminary search for business plans in a subset of collections that identified key terms and phrases. These search terms were then used to narrow the investigation, which ultimately focused on Insys Therapeutics, and how they targeted oncology providers as well as patients with cancer pain.

Results
We found that, overall, Insys sought to market to institutions with fewer resources, to less experienced and high-volume providers, and directly to cancer patients, with the goal of encouraging increased opioid prescribing and use.

Conclusions
Our research revealed gaps in provider training that may make some providers more susceptible to pharmaceutical marketing. Developing and promoting continuing education courses for providers that are free from conflicts of interest, particularly at smaller institutions, may be one step towards reducing opioid overprescribing and its associated harms.
Prediction of 30-day mortality for ICU patients with Sepsis-3
Authors: Yu Zhijiang , Ashrafi Negin , Li Hexin , Alaei Kamiar , Pishgar Maryam 
Published: August 2024

Abstract
Background
There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mortality prediction for Sepsis-3 patients to improve hospital resource allocation.

Methods
In this study, we developed a Machine Learning (ML) framework to predict the 30-day mortality rate of ICU patients with Sepsis-3 using the MIMIC-III database. Advanced big data extraction tools like Snowflake were used to identify eligible patients. Decision tree models and Entropy Analyses helped refine feature selection, resulting in 30 relevant features curated with clinical experts. We employed the Light Gradient Boosting Machine (LightGBM) model for its efficiency and predictive power.

Results
The study comprised a cohort of 9118 Sepsis-3 patients. Our preprocessing techniques significantly improved both the AUC and accuracy metrics. The LightGBM model achieved an impressive AUC of 0.983 (95% CI: [0.980–0.990]), an accuracy of 0.966, and an F1-score of 0.910. Notably, LightGBM showed a substantial 6% improvement over our best baseline model and a 14% enhancement over the best existing literature. These advancements are attributed to (I) the inclusion of the novel and pivotal feature Hospital Length of Stay (HOSP_LOS), absent in previous studies, and (II) LightGBM’s gradient boosting architecture, enabling robust predictions with high-dimensional data while maintaining computational efficiency, as demonstrated by its learning curve.

Conclusions
Our preprocessing methodology reduced the number of relevant features and identified a crucial feature overlooked in previous studies. The proposed model demonstrated high predictive power and generalization capability, highlighting the potential of ML in ICU settings. This model can streamline ICU resource allocation and provide tailored interventions for Sepsis-3 patients.
Job satisfaction and intent to stay in neonatal nursing in England and Wales: a study protocol
Authors: Chant Kathy , Latour Jos M. , Booth Nicola , Viola Lisa , Crofts Kelly , Nishimura Yoko , Gallagher Katie 
Published: August 2024

Abstract
Background
Nursing shortages are an ongoing concern for neonatal units, with many struggling to meet recommended nurse to patient ratios. Workforce data underlines the high proportion of neonatal nurses nearing retirement and a reduced number of nurses joining the profession. In order to recommend strategies to increase recruitment and retention to neonatal nursing, we need to understand the current challenges nurses are facing within the profession. The aim of this study is to investigate current job satisfaction, burnout, and intent to stay in neonatal nursing in England and Wales.

Methods
This study has two parts: (1) a systematic review exploring job satisfaction, burnout and intent to stay in neonatal nursing, and any previous interventions undertaken to enhance nurse retention, (2) an online survey of neonatal nurses in England and Wales exploring job satisfaction, burnout and intent to stay in neonatal nursing. We will measure job satisfaction using the McCloskey Mueller Satisfaction Scale (MMSS), burnout using the Copenhagen Burnout Inventory (CBI) and the Nurse Retention Index (NRI) will be used to measure intent to stay. All nurses working in neonatal units in England and Wales will be eligible to participate in the nursing survey.

Discussion
Retention of neonatal nurses is a significant issue affecting neonatal units across England and Wales, which can impact the delivery of safe patient care. Exploring job satisfaction and intent to stay will enable the understanding of challenges being faced and how best to support neonatal nurses. Identifying localised initiatives for the geographical areas most at risk of nurses leaving would help to improve nurse retention.
Research evidence communication for policy-makers: a rapid scoping review on frameworks, guidance and tools, and barriers and facilitators
Authors: Barreto Jorge Otávio Maia , de Melo Roberta Crevelário , da Silva Letícia Aparecida Lopes Bezerra , de Araújo Bruna Carolina , de Freitas Oliveira Cintia , Toma Tereza Setsuko , de Bortoli Maritsa Carla , Demaio Peter Nichols , Kuchenmüller Tanja 
Published: August 2024

Abstract
Background
Communication is a multifaceted process, ranging from linear, one-way approaches, such as transmitting a simple message, to continuous exchanges and feedback loops among stakeholders. In particular the COVID-19 pandemic underscored the critical need for timely, effective and credible evidence communication to increase awareness, levels of trust, and evidence uptake in policy and practice. However, whether to improve policy responses in crises or address more commonplace societal challenges, comprehensive guidance on evidence communication to decision-makers in health policies and systems remains limited. Our objective was to identify and systematize the global evidence on frameworks, guidance and tools supporting effective communication of research evidence to facilitate knowledge translation and evidence-informed policy-making processes, while also addressing barriers and facilitators.

Methods
We conducted a rapid scoping review following the Joanna Briggs Manual. Literature searches were performed across eight indexed databases and two sources of grey literature, without language or time restrictions. The methodological quality of included studies was assessed, and a narrative-interpretative synthesis was applied to present the findings.

Results
We identified 16 documents presenting either complete frameworks or framework components, including guidance and tools, aimed at supporting evidence communication for policy development. These frameworks outlined strategies, theoretical models, barriers and facilitators, as well as insights into policy-makers’ perspectives, communication needs, and preferences. Three primary evidence communication strategies, comprising eleven sub-strategies, emerged: “Health information packaging”, “Targeting and tailoring messages to the audience”, and “Combined communication strategies”. Based on the documented barriers and facilitators at micro, meso and macro levels, critical factors for successful communication of evidence to policy-makers were identified.

Conclusions
Effective communication is indispensable for facilitating knowledge translation and evidence-informed policy-making. Nonetheless gaps persist in frameworks designed to enhance research communication to policy-makers, particularly regarding the effectiveness of multiple communication strategies. To advance in this field, the development of comprehensive frameworks incorporating implementation strategies is warranted. Additionally, barriers and facilitators to implementing effective communication must be recognized and addressed taking diverse contexts into consideration.
Registrationhttps://zenodo.org/record/5578550
IL-1β-activated PI3K/AKT and MEK/ERK pathways coordinately promote induction of partial epithelial–mesenchymal transition
Authors: Tabei Yosuke , Nakajima Yoshihiro 
Published: August 2024

AbstractEpithelial–mesenchymal transition (EMT) is a cellular process in embryonic development, wound healing, organ fibrosis, and cancer metastasis. Previously, we and others have reported that proinflammatory cytokine interleukin-1β (IL-1β) induces EMT. However, the exact mechanisms, especially the signal transduction pathways, underlying IL-1β-mediated EMT are not yet completely understood. Here, we found that IL-1β stimulation leads to the partial EMT-like phenotype in human lung epithelial A549 cells, including the gain of mesenchymal marker (vimentin) and high migratory potential, without the complete loss of epithelial marker (E-cadherin). IL-1β-mediated partial EMT induction was repressed by PI3K inhibitor LY294002, indicating that the PI3K/AKT pathway plays a significant role in the induction. In addition, ERK1/2 inhibitor FR180204 markedly inhibited the IL-1β-mediated partial EMT induction, demonstrating that the MEK/ERK pathway was also involved in the induction. Furthermore, we found that the activation of the PI3K/AKT and MEK/ERK pathways occurred downstream of the epidermal growth factor receptor (EGFR) pathway and the IL-1 receptor (IL-1R) pathway, respectively. Our findings suggest that the PI3K/AKT and MEK/ERK pathways coordinately promote the IL-1β-mediated partial EMT induction. The inhibition of not one but both pathways is expected yield clinical benefits by preventing partial EMT-related disorders such as organ fibrosis and cancer metastasis.
Roadmap for low-carbon ultra-low temperature storage in biobanking
Authors: Graham Matthew , Samuel Gabrielle , Farley Martin 
Published: August 2024

AbstractBiobanks have become an integral part of health and bioscience research. However, the ultra-low temperature (ULT) storage methods that biobanks employ [ULT freezers and liquid nitrogen (LN2)] are associated with carbon emissions that contribute to anthropogenic climate change. This paper aims to provide a ‘Roadmap’ for reducing carbon emissions associated with ULT storage in biobanking. The Roadmap offers recommendations associated with nine areas of ULT storage practice: four relating to ULT freezers, three associated with LN2 storage, and two generalised discussions regarding biosample management and centralisation. For each practice, we describe (a) the best approaches to mitigate carbon emissions, (b) explore barriers associated with hindering their implementation, and (c) make a series of recommendations that can help biobank stakeholders overcome these barriers. The recommendations were the output of a one year, UK-based, multidisciplinary research project that involved a quantitative Carbon Footprinting Assessment of the emissions associated with 1 year of ULT storage (for both freezers and LN2) at four different case study sites; as well as two follow up stakeholder workshops to qualitatively explore UK biobank stakeholder perceptions, views, and experiences on how to consider such assessments within the broader social, political, financial, technical, and cultural contexts of biobanking.
Deliberation concerning the role of M1-type macrophage subset in oral carcinogenesis
Authors: Li Chen-xi , Gong Zhong-cheng , Yu Jing-wen 
Published: August 2024

AbstractOver the last decade, accumulating evidence has suggested that tumor-associated macrophages (TAMs) play a significant role in the tumor development. This commentary wishes to highlight the findings by You, et al. that M1-like TAMs could cascade a mesenchymal/stem-like phenotype of oral squamous cell carcinoma (OSCC) via the IL6/Stat3/THBS1 feedback loop. These unprecedented findings identified M1-like TAMs-regulated processes as potentially tumor-promotion in the context of OSCC immunomicroenvironment.
Green synthesis of Carbonized Chitosan-Fe3O4-SiO2 nano-composite for adsorption of heavy metals from aqueous solutions
Authors: Ali Dalia Amer , Ali Rinad Galal 
Published: August 2024

AbstractWater pollution with heavy metals owing to industrial and agricultural activities have become a critical dilemma to humans, plants as well as the marine environment. Therefore, it is of great importance that the carcinogenic heavy metals present in wastewater to be eliminated through designing treatment technologies that can remove multiple pollutants. A novel green magnetic nano-composite called (Carbonized Chitosan-Fe3O4-SiO2) was synthesized using Co-precipitation method to adsorb a mixture of heavy metal ions included; cobalt (Co2+), nickel (Ni2+) and copper (Cu2+) ions from aqueous solutions. The novelty of this study was the synthesis of a new nano-composite which was green with magnetic properties to be more sustainable and environmentally friendly. Its magnetic properties made it separated easily from solutions after accomplishment of the adsorption process using a magnet. Extended Freundlich isotherm was the best fitted model with maximum adsorption capacity of the metal ions mixture 2908.92 mg/g. Different experimental parameters have been studied included the initial concentration for a mixture of nickel, cobalt and copper metal ions (0.05–0.1 molar), dosage of adsorbent (0.5–3.5 g/L) and contact time (6–90 min) to investigate their changing effect on the removal percents of the heavy metal ions mixture from aqueous solutions. The experimental adsorption percent of cobalt ion ranged from 1.58 to 64.28%, nickel ion adsorption percent ranged from 10.68 to 94.12% and copper ion adsorption percent ranged from 4.41 to 76.23% at pH = 9 were based on the combination of the adsorption process parameters.
Focused allergic rhinitis practice parameter for Canada
Authors: Ellis Anne K. , Cook Victoria , Keith Paul K. , Mace Sean R. , Moote William , O’Keefe Andrew , Quirt Jaclyn , Rosenfield Lana , Small Peter , Watson Wade 
Published: August 2024

AbstractAllergic rhinitis (AR) is a prevalent disease in Canada that affects both children and adults. Several guidelines for the management of AR have been published by professional allergy societies worldwide. However, there are regional differences in the clinical management of AR, and regulatory approval of some AR pharmacotherapies varies among countries. Thus, six research questions specific to the treatment of AR in Canada were identified for this focused practice parameter. Reviews of the literature published since 2016 were conducted to obtain evidence-based support for the responses of the Work Group to each research question. In response to research question 1 “In patients with symptoms indicative of AR, is serum-specific IgE sufficient to identify candidates for immunotherapy or is a skin prick test mandatory?” the Work Group concluded that either sIgE testing or skin prick test are acceptable for diagnosing AR and guiding immunotherapy. In response to research question 2 “When taking into account the preferences of the patient and the prescriber (stakeholder engagement) should second-generation oral antihistamine (OAH) or intranasal corticosteroid (INCS) be first line?” the Work Group concluded that existing guidelines generally agree on the use of INCS as a first-line therapy used for AR, however, patient and provider preferences and considerations can easily shift the first choice to a second-generation OAH. In response to research question 3 “Is a combination intranasal antihistamine (INAH)/INCS formulation superior to INCS plus OAH? Do they become equivalent after prolonged use?” the Work Group concluded that that the combination INAH/INCS is superior to an INCS plus OAH. However, there was insufficient evidence to answer the second question. In response to research question 4 “Do leukotriene receptor antagonists (LTRA) have a greater benefit than OAH in AR for some symptoms to justify a therapeutic trial in those who cannot tolerate INCS?” the Work Group concluded that LTRAs have inferior, or at best equivalent, daytime or overall symptom control compared with OAH, but LTRAs may improve nighttime symptom control and provide benefits in patients with AR and concomitant asthma. In response to research question 5 “Should sublingual immunotherapy (SLIT) tablets be considered first-line immunotherapeutic options over subcutaneous immunotherapy (SCIT) based on the evidence of efficacy?” the Work Group concluded that the choice of SLIT or SCIT cannot be made on efficacy alone, and differences in other factors outweigh any differences in efficacy. In response to research question 6 “Based on efficacy data, should ALL patients seen by an allergist be offered SLIT or SCIT as a treatment option?” the Work Group concluded that the efficacy data suggests that SLIT or SCIT should be used broadly in patients with AR, but other clinical concerns also need to be taken into consideration.
The interplay between teacher beliefs, instructional practices, and students’ reading achievement: national evidence from PIRLS 2021 using path analysis
Authors: Bleukx Nele , Denies Katrijn , Van Keer Hilde , Aesaert Koen 
Published: August 2024

Abstract
Background
Reading and reading comprehension are crucial skills, yet many students in grade 4 struggle with them. To address this, several instructional practices have gained popularity. For one, explicit reading strategy instruction (ERSI) is deemed useful, given the finding that successful readers tend to employ reading strategies. As a second example, differentiated reading instruction (DRI) is believed to improve all students’ reading comprehension. Indeed, a one-size-fits-all approach may not work for all students, considering their different reader profiles. Despite the importance of ERSI and DRI, much uncertainty remains about what happens in the classroom and why. One way to understand teacher instructional practices such as ERSI and DRI, is by applying psychological behavioural theories to the teaching context. They provide a framework to predict human behaviour based on human characteristics and beliefs. Educational research points to teachers’ self-efficacy (TSE) and attitudes (TA) as particularly important concepts, especially in the field of science. However, associations between TA, TSE, instructional practices and students’ reading achievement remain insufficiently studied. This study addresses this knowledge gap by exploring the interplay between TSE and TA regarding ERSI and DRI, the implementation of these practices, and students’ reading achievement.

Methods
DigitalPIRLS 2021 data from Belgium (Flanders) were used. To gather information about ERSI, DRI, TA and TSE, national adaptations were made to the teacher questionnaires. Three nested path models with a two-level design (students nested into classes) were estimated.

Results
This study indicates that teachers with higher TSE and more positive TA in ERSI and DRI implement these practices more frequently. Positive TA regarding ERSI and DRI also correspond to positive TSE regarding these instructional practices. Furthermore, ERSI and DRI implementation are positively related. Finally, no significant associations between teacher beliefs, instructional practices, and students’ reading comprehension were found.

Conclusion
Whereas TSE and TA are considered highly context-dependent, uncertainty remains about TSE and TA regarding ERSI and DRI. The results highlight the importance of subject-specific TSE and TA for teachers’ instructional practices. Ultimately, the findings emphasize the necessity of supporting teachers in developing their TSE and TA towards reading comprehension instruction.
Discovery of novel Trichoderma-based bioactive compounds for controlling potato virus Y based on molecular docking and molecular dynamics simulation techniques
Authors: Rizk Mohamed N. , Ketta Hammad A. , Shabana Yasser M. 
Published: August 2024

Abstract
Background
Although potato virus Y (PVY) is the most serious virus-infecting potato plants worldwide, the losses concurred by it remain unmanageable due to the lack of efficient anti-PVY agents. Hence, the objective of this study was to assess the antiviral properties of secondary metabolite compounds obtained from culture filtrates of four Trichoderma spp. isolates. The assessment was conducted using computational methods, including molecular docking, absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis, as well as molecular dynamics simulations. The aim was to develop novel and effective agents for combating PVY.

Results
The GC–MS analysis of the studied Trichoderma spp. secondary metabolites revealed 24 compounds with relative amounts exceeding 10%. Molecular docking was then performed using MOE software to evaluate the activity of these compounds against the PVY protein coat (PDB-ID: 6HXX). Ningnanmycin and ribavirin, known plant virus inhibitors, were employed as reference ligands for comparison. Among the compounds tested, C9, C10, C13, and C19 exhibited superior docking scores, root mean square deviation (RMSD) values, and binding modes compared to the reference ligands. In addition, these compounds successfully passed the ADMET analysis. Further investigation focused on compounds C13 and C19, which underwent in-depth analysis through MDs for 100 ns. The MDs trajectories demonstrated that both complexes exhibited favorable stability, compactness, and binding modes throughout the simulation period. However, the C19/PVY-CP complex outperformed the C13 complex in all calculated parameters such as RMSD, root mean square fluctuation (RMSF), radius of gyration (RoG), solvent-accessible surface area (SASA), and intermolecular hydrogen bonds. Interestingly, these findings aligned with the results obtained from the docking analysis, indicating that C9 and C10 possess high potential against PVY, as they exhibited binding modes like that of C19.

Conclusion
These promising outcomes provide a solid foundation for considering the potential use of compounds C9, C10, C13, and C19 as antiviral agents. Further experimental validation and in-depth studies are warranted to assess the efficacy and safety of these compounds and their potential as antiviral therapeutics. To our knowledge, this is the first report to study the biological activities of the Trichoderma-based bioactive compounds against PVY using computational techniques.

Graphical abstract