bluuebunny/crossref_metadata_2025_split huggingface dataset:
Provider Guidance for the Prevention of Respiratory Syncytial Virus in Infants: Maternal Vaccination Versus Infant Monoclonal Antibody Treatment
Authors: Cirillo Ashley A. , Gaw Stephanie L. 
Published: November 2024

ABSTRACT

Importance
In 2023, the Food and Drug Administration approved 2 new products to reduce the risk of lower respiratory infections caused by respiratory syncytial virus (RSV) in infants: Beyfortus (nirsevimab; AstraZeneca/Sanofi), a single-dose monoclonal antibody for infant administration, and Abrysvo (bivalent RSVpreF vaccine; Pfizer), a single-dose maternal vaccination.

Objectives
We aimed to synthesize data from the literature and the leading professional organizations to provide guidance on RSV and strategies to reduce the risk of infant infection. This information will assist prenatal care clinicians in counseling their patients regarding the choice between maternal vaccination and the infant monoclonal antibody.

Evidence Acquisition
A descriptive review of the guidelines from the Centers for Disease Control and Prevention, American College of Obstetrics and Gynecology (ACOG), American Academy of Pediatrics, Society for Maternal-Fetal Medicine, and the American Academy of Family Physicians.

Results
All 5 organizations recommend that RSV vaccination should be offered to all pregnant people during the RSV season (September–January in the continental United States). Infants younger than 8 months entering into their first RSV season born to those who did not receive maternal vaccination or received vaccination less than 14 days prior to birth should be offered monoclonal antibody administration.

Conclusions
RSV vaccination and monoclonal antibodies have the potential to significantly reduce the burden of lower respiratory tract infections due to RSV in infants. Future studies should further evaluate the durability of protection and other strategies to further protect the infant, including cocooning and the role of breast milk in immunity.

Target Audience
Obstetrics and gynecologists, family practice physicians, prenatal care providers.

Learning Objectives
After completing this activity, the learner will be better able to describe new maternal RSV vaccination and infant RSV monoclonal antibody to prevent lower respiratory tract infections due to RSV; analyze the research surrounding maternal RSV vaccination and infant monoclonal antibody administration; and initiate discussion with patients regarding their decision to proceed with maternal RSV vaccination and infant monoclonal antibody administration.
Comparing the Effectiveness of Letrozole Versus Methotrexate for Treatment of Ectopic Pregnancy: A Randomized Controlled Trial
Authors: Tarafdari Azadeh , Khotbesara Saeedeh Eslami , Keikha Fatemeh , Parsaei Mohammadamin , Poorabdoli Marzie , Chill Henry H. , Hadizadeh Alireza 
Published: November 2024

(Abstracted from Eur J Obstet Gynecol Reprod Biol 2024:299:219–224)
Implantation and growth of an embryo outside the uterus is considered an ectopic pregnancy (EP) and occurs in roughly 1%–2% of cases. It is more common in cases where pregnancy was achieved via assisted reproductive technology and poses significant risks to the mother if left untreated.
Linking a nail and a plate for distal femur fractures: a technical trick
Authors: Dimitroulias Apostolos , Force Ashley , Tarpada Sandip , Bogdan Yelena , Sen Milan K. 
Published: November 2024

Abstract
The use of nail–plate constructs has been suggested for treatment of elderly patients with distal femur fractures to facilitate stable fixation and early ambulation. In this article, we describe a technique to link the 2 implants without the use of fluoroscopic “perfect-circle” technique. This technique can be used with implants from different manufacturers.
CAR T-cell therapy for gliomas
Authors: Song Kun-Wei , Scott Brian J. 
Published: November 2024

Purpose of review
To review the landscape of chimeric antigen receptor T-cell (CAR T) therapy for gliomas as seen in recently published trials and discuss on-going challenges with new cancer immunotherapy treatments.

Recent findings
Given how CAR T therapy has revolutionized the treatment of several hematologic malignancies, there has been increasing interest in using immunotherapy, and particularly CAR T therapy for gliomas. Within the past decade, several first in human trials have published early patient experiences showing treatment is generally well tolerated but with limited efficacy, which may be improving with newer evolutions in CAR T design to overcome known resistance mechanisms in glioma treatment.

Summary
CAR T therapy is a promising avenue of treatment for high-grade gliomas, which have a universally poor prognosis as well as limited therapeutics. There are a growing number of CAR T clinical trials for CNS tumors and thus, an understanding of their treatment strategies, toxicity management, and overcoming resistance mechanisms will be important for both clinical practice and to identify areas for future research.
Two-phase Framework Clinical Question-Answering – Autocorrection for Guideline-concordance
Authors: Tariq Amara , Yu Nathan , Patel Bhavik , Banerjee Imon 
Published: November 2024

AbstractUse of large language models for generative tasks in critical domains like medicine is fraught with challenges like hallucination. In the domain of medicine, hallucination may take a unique shape where the LLM-generated language is not inaccurate but the suggested treatment or medication has now been discontinued in a specific context. Reinforcement learning based solutions for building reliable LLM-based frameworks are limited by the fact that the reinforcement is typically focused on only identifying the mistake; correcting the mistake is left up to the primary LLM. We propose an innovative solution where a two-phase question answering framework composed of two LLMs is designed such that one LLM learns to generate answers while the other learns to correct any mistakes in the answer generated by the first model. We experimented with the particular domain of prostate cancer and LLMs designed for various domains and showed that domain-specific LLMs outperform generic or wide-domain LLMs.
Age- and amyloid-β-dependent initiation of neurofibrillary tau tangles: an improved mouse model of Alzheimer’s disease without mutations inMAPT
Authors: Desai Sneha , Camporesi Elena , Brinkmalm Gunnar , Alatza Argyro , Wood Jack I. , Tripathi Takshashila , Bez Sumi , Stasyuk Nazar , Hajar Haady B. , Saito Takashi , Saido Takaomi C. , Hardy John , Cummings Damian M. , Hanrieder Jörg , Edwards Frances A. 
Published: November 2024

AbstractIntroducing heterozygous humanized tau to AppNL-F/NL-Fknock-in mice results in the first mouse model of Alzheimer’s disease in which age and amyloid-β pathology interact to initiate neurofibrillary tau tangle pathology, not dependent on mutations in MAPT. Gradual progression from amyloid-β to tau pathology in NLFTaum/hmice opens possibilities for understanding processes precipitating clinical stages of Alzheimer’s disease and development of translatable therapies to prevent the onset of tau pathology.
Impact of financial inclusion, financial stability, bank nonperforming loans, inflation, macroeconomic management quality and unemployment on economic growth in Nigeria
Authors: Ozili Peterson K. 
Published: November 2024

PurposeThe study investigates the impact of financial inclusion, financial stability, bank nonperforming loans, inflation, macroeconomic management quality and the unemployment rate on economic growth in Nigeria.Design/methodology/approachThe data are analyzed using the ordinary least squares regression, generalized linear model regression, robust least squares regression and the quantile regression methods. The sample period is from 2007 to 2022.FindingsFinancial inclusion, inflation rate and macroeconomic management quality are significant determinants of economic growth in Nigeria. Bank nonperforming loans, unemployment rate, international trade and climate change have an insignificant effect on economic growth in Nigeria. Also, financial inclusion, inflation rate, financial stability, macroeconomic management quality and the unemployment rate are significant determinants of economic growth in good economic years in Nigeria.Practical implicationsThe well-known catalysts of economic growth, such as financial inclusion and financial stability, are not positive catalysts of economic growth in Nigeria during good economic years. Therefore, it is recommended that policymakers should find the right level of financial inclusion, financial stability and unemployment that stimulate economic growth in Nigeria.Originality/valueThis study examines some determinants of economic growth in Nigeria which have not been examined in the existing literature.
Business processes for data monetization: an exploratory analysis and proposition of design patterns
Authors: Machado Mariana Paim , Klingenberg Cristina Orsolin , Abreu Jaqueline Lilge , Barbastefano Rafael , Lacerda Daniel Pacheco 
Published: November 2024

PurposeThe data monetization market is valued at $1.5 billion, with an expected annual growth rate of 25%. This growth presents significant opportunities for companies to expand their revenue streams. However, many companies struggle to extract value from their data due to existing challenges and need for more knowledge. While existing studies describe and classify dimensions of the phenomenon, there is a need to explore causality relations that can help the structuring of data monetization processes. This study aimed to support the structuring of the data monetization process.Design/methodology/approachProposing causality relations is important to explore the data monetization phenomenon. Therefore, empirical knowledge about data monetization was organized into design patterns using the context-intervention-mechanism-outcome (CIMO) logic. The effectiveness of these patterns was then assessed through an exploratory case study conducted at a leading Brazilian academic institution where data monetization is central to its business model.FindingsThe study yields six design patterns that address various aspects such as data pricing, data-driven business models and best practices for data monetization. Additionally, it presents a comprehensive understanding of the data monetization process through a value-added chain framework.Originality/valueThe findings contribute to the advancement of knowledge in the field, the proposition of causality, and offer valuable insights into organizations that wish to structure their resources and capabilities and leverage data.
Exploring construal level matching effects: focusing on descriptive norms and temporal framing in environmental cause-related communication contexts
Authors: Yun Chung In Hazel , Kim Yeonsoo , Song Y. Greg 
Published: November 2024

PurposeTo enhance the effectiveness of environmental cause-related marketing (CRM) message design, this study identifies two key factors: descriptive social norms (provincial vs general) and temporal framing (near-future vs distant-future). Drawing upon construal level theory, it examined the synergy between the type of social norms and suitable temporal framing, matched at similar construal levels, to optimize CRM’s impact by positively influencing consumer purchase intentions and engagement in environmentally sustainable behaviors.Design/methodology/approachA full factorial 2 × 2 online experiment was conducted.FindingsThe findings showed that aligning message elements at a low level of construal significantly increases message persuasiveness, enhancing purchase intentions and pro-environmental behaviors. Conversely, matching elements at high levels of construal does not necessarily lead to synergistic effects. Notably, misaligned message elements – where one operates at a higher construal level and the other at a lower level – can generate cognitive resistance, potentially leading to adverse backlash effects. Messages that paired provincial norms with distant future framing were deemed least persuasive, resulting in diminished purchase intentions and pro-environmental behaviors.Originality/valueThis study refines approaches in environmental CRM by illustrating that descriptive social norms alone do not achieve desired impacts. It emphasizes aligning message elements at a low construal level to boost effectiveness and synergistic outcomes. The research also highlights a need to critically reassess matching effects at higher construal levels, thus enriching environmental CRM message strategies.
Examining the dark side of quality management: analysing work overload, exhaustion and managerial support using a moderated mediation approach
Authors: Escrig-Tena Ana B. , Segarra-Ciprés Mercedes , García-Juan Beatriz 
Published: November 2024

PurposeIn this study, we propose a model for analysing the association between total quality management (TQM) and exhaustion, which considers work overload as a mediation variable and investigates perceptions of managerial support as a moderating condition. Through the job demands–resources model, the study sheds light on the dilemma about the negative implications of TQM for employees.Design/methodology/approachThe proposed model of relationships is analysed using matched employee–organisation survey data from two R&D-intensive sectors in Spain. Structural equation models are employed to examine the proposed relationships.FindingsOnly perceptions of hard TQM trigger a health-impairment process which increases work overload and exhaustion, whereas soft TQM decreases exhaustion and does not have negative consequences for employee well-being. We also find that managerial support can alleviate the consequences of hard TQM on exhaustion due to work overload.Originality/valuePrevious research has mainly assumed that TQM is welcomed by employees. With the aim of warning of the potential negative consequences of TQM on employees, this paper goes beyond previous contributions by analysing how hard and soft TQM may have different consequences on employees’ exhaustion and how managerial support may mitigate the negative repercussions.
Evaluating AIS implementation to improve accounting information quality: the prospect in Jordanian family SMEs in the post-Covid-19 age
Authors: Alharasis Esraa Esam 
Published: November 2024

PurposeAs organisations rely more on systems to protect their accounting data, it is critical to investigate whether cutting-edge “Accounting Information Systems (AIS)” technologies increase “Accounting Information Quality (AIQ)” in post-Covid-19 era.Design/methodology/approachThe current study examined how Covid-19 modified the expected links between AIS implementation and AIQ factors. To make the “structural model”, a “web-based survey” was used. A “Multi-group Analysis” (MGA) with “AMOS.26” was employed to test the regulating effect. To look at their regression values, the 412 participants from “Family Small- and Medium-sized Enterprises FSMEs” in Jordan who took part in the MGA were split into two groups: those who had a high experience of Covid-19 impact (N = 143) and those who had a low experience of Covid-19 impact (N = 269). The study of 412 completed surveys shows that MGA uses a modified t-test to determine the significant difference between regression coefficients.FindingsThe results of the moderation effect confirm that Covid-19 has a substantial effect on AIS adoption and AIQ. All hypotheses about how AIS implementation affects AIQ in post-Covid-19 era were approved. The study finds that adopting AIS is critical for enterprises to maintain successful operations and efficiency.Practical implicationsThis model may assist businesses in comprehending the relationship between AIS and AIQ, how it affects it in the current technological adoption phase under extremely unpredictable economic conditions and what characteristics support its widespread usage. This research offered the theoretical underpinning for examining AIS’s ability to improve AIQ among Jordanian family firms. The results can also be applied to other Middle Eastern countries and AIQ, how it affects this relationship during this period of technological adoption under extraordinarily unpredictable economic conditions and what factors support its widespread use. Practitioners and scholars must recognise how AIS can develop organisational values and impacts as the AIS environment grows. This study recommends a holistic AIS-implementation methodology and evaluates organisational implications to address this empirical challenge.Originality/valueThis study investigates whether adopting AIS results in significantly higher AIQ in the post-Covid-19 era. To the best of the author’s knowledge, there have been a few attempts to investigate how AIS influences data quality. Still, there is little evidence of how this relationship has evolved in the aftermath of the Covid-19 tragedy. As a result, much work remains to be done, particularly in analytical decision-making culture, which is critical to the development of the growing economies of the Middle East and Jordan. To address this knowledge gap, the Covid-19 and AIQ criteria were incorporated into the model utilised in this study. This research adds to existing knowledge and may be valuable in areas with low AIS framework frequency.
Boundary spanners as the missing link in supporting collaborative innovation in innovation spaces
Authors: Mérindol Valérie , Le Chaffotec Alexandra 
Published: November 2024

PurposeShowing that the contribution of innovation spaces to the development of collaborative innovation projects remains ambiguous for both independent innovation spaces and those run by large organizations, this research proposes to highlight the essential role of boundary spanners to make such projects emerge from innovation spaces.Design/methodology/approachThis research is based on a multicase study of four innovation spaces in French healthcare ecosystems. Distinguishing between independent innovation spaces and innovation spaces run by large organizations, this research provides an in-depth analysis of the emergence of collaborative innovation thanks to the presence of boundary spanners.FindingsThrough a qualitative study, this research shows that managers of innovation spaces are the keystone to understanding how new collaborative practices are experimented in innovation spaces. It also shows that boundary spanners can be a team rather than a single individual. They endorse network builder, mediator, and entrepreneur roles and their actions go beyond the innovation spaces boundaries. They mobilize the innovation space dimension to enhance collaborations that are resilient over time and take also place outside innovation space. The boundary spanners’ role exists as much in independent innovation spaces as in innovation spaces managed by large organizations, but in somewhat different ways.Originality/valueThis article clarifies how innovation space support collaborative innovation by explaining the contribution of individuals who act as boundary spanners in this process. The contributions are threefold. First, the managers of the IS endorse the role of boundary spanner, but they do not act alone. Other actors contribute as boundary spanners for the emergence and/or the experimentation of new collaborative practices. Second, they mobilize IS to encourage collaborative projects among people coming from different organizations, but the modalities vary between independent IS and those run by large organization. However, both contribute to the development of new resilient capabilities thanks to the action of boundary spanners. Third, the network-building function of the boundary spanners goes beyond the development of connections within the physical space of the innovation space.
Changes in waterbird occurrence and abundance at their northern range boundaries in response to climate warming: importance of site area and protection status
Authors: Gaget E. , Ovaskainen O. , Bradter U. , Haas F. , Jonas L. , Johnston A. , Langendoen T. , Lehikoinen A. S. , Pärt T. , Pavón‐Jordán D. , Sandercock B. K. , Soultan A. , Brommer J. E. 
Published: November 2024

AbstractClimate warming is driving changes in species distribution, but habitat characteristics can interact with warming temperatures to affect populations in unexpected ways. We investigated wintering waterbird responses to climate warming depending on habitat characteristics, with a focus on the northern boundary of their non‐breeding distributions where winter climatic conditions are more extreme. At these Nordic latitudes, climate warming is expected to drive positive changes in species occurrence and abundance, with likely differences in species‐specific responses. We analyzed the occurrence and abundance of 18 species of waterbirds monitored over 2,982 surveys at 245 inland wetlands over a 25‐year period in Sweden. We used hierarchical modeling of species communities (HMSC) which enabled us to relate species‐specific changes to both functional traits and phylogenetic relatedness. We investigated occurrence and abundance changes in response to average temperature, temperature anomalies, site area, site protection status (Natura 2000), and land use in agricultural and urban surfaces. Unsurprisingly, both average temperatures and temperature anomalies were the most important variables influencing positively waterbird occurrence and abundance. For 60% of the species, the effect of temperature anomalies was even stronger in large or protected wetlands. Geese and mallard occurred more often at sites surrounded by agricultural and urban surfaces, respectively, but their occurrence in these habitats was not affected by interactive effects with climate warming. Species abundance was greater inside protected areas only for 11% of the species, but occurrence probability was higher inside protected areas for 44% of the species. Overall, we observed that species thermal affinity was a strong predictor for positive species response to temperature anomalies, and that species sharing similar phylogenetic history had similar relationships with environmental variables. Protection of large wetlands and restoration of the surrounding habitats are two targets for climate change adaptation strategies to facilitate future responses of waterbirds to climate warming.
Using Ecosystem Design to Help Projects Thrive—Cultivating Systemic Project Success
Authors: Mittersinker Gregor 
Published: November 2024

Emphasizing ethical considerations, community well‐being, and sustainability, designers are challenged to create product solutions that are technically effective while being socially responsible and inclusive.Substantial improvements in business efficiency and user experience can be achieved by employing ecosystem design. The challenge is creating solutions that are technically effective, socially responsible, and inclusive.