bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vivo development of resistance to novel β-lactam/β-lactamase inhibitor combinations in KPC-producing Klebsiella pneumoniae infections: a case series
Authors: Boattini Matteo , Bianco Gabriele , Comini Sara , Costa Cristina , Gaibani Paolo 
Published: October 2024

Abstract
Introduction
Understanding the dynamics that may characterize the emergence of KPC variants with resistance to novel β-lactam/β-lactamase inhibitor combinations (βL/βLICs) represents a challenge to be overcome in the appropriate use of recently introduced antibiotics.

Methods
Retrospective case series describing development of multiple resistance to novel βL/βLICs in patients with KPC-producing Klebsiella pneumoniae (KPC-Kp) infections treated with these drugs. Clinical-microbiological investigation and characterization of longitudinal strains by Whole-Genome Sequencing were performed.

Results
Four patients with KPC-Kp bloodstream infections were included. Most frequent clinical features were kidney disease, obesity, cardiac surgery as reason for admission, ICU stay, treatment with ceftazidime/avibactam, and pneumonia and/or acute kidney injury needing renal replacement therapy as KPC-Kp sepsis-associated complications. The development of resistance to ceftazidime/avibactam was observed in four longitudinal strains (three of which were co-resistant to aztreonam/avibactam and cefiderocol) following treatments with ceftazidime/avibactam (n = 3) or cefiderocol (n = 1). Resistance to meropenem/vaborbactam and imipenem/cilastatin/relebactam was observed in one case after exposure to ceftazidime/avibactam and imipenem/cilastatin/relebactam. Resistome analysis showed that resistance to novel βL/βLICs was related to specific mutations within blaKPC carbapenemase gene (D179Y mutation [KPC-33]; deletion Δ242-GT-243 [KPC-14]) in three longitudinal strains, while porin loss (truncated OmpK35 and OmpK36 porins) was observed in one case.

Conclusion
Therapy with novel βL/βLICs or cefiderocol may lead to the selection of resistant mutants in the presence of factors influencing the achievement of PK/PD targets. KPC variants are mainly associated with resistance to ceftazidime/avibactam, and some of them (e.g. KPC-14) may also be associated with reduced susceptibility to aztreonam/avibactam and/or cefiderocol. Loss of function of the OmpK35 and OmpK36 porins appears to play a role in the development of resistance to meropenem/vaborbactam and/or imipenem/relebactam, but other mechanisms may also be involved.
The AI-driven classroom: A review of 21st century curriculum trends
Authors: Jaramillo John Jairo , Chiappe Andrés 
Published: October 2024

Abstract
This article describes a systematic literature review focused on identifying substantial drawbacks in the current curricula and on the challenges to developing AI-driven curricula. One hundred thirty articles were read in depth and qualitatively analyzed. The results suggest that educational stakeholders should integrate AI into the curriculum with the aim of developing students’ critical thinking and interdisciplinary and real-world problem-solving in alignment with digital and contemporary educational settings. The study also seeks to catalyze the development of future, related impact studies.
Deal or no deal? Understanding entrepreneurs’ criteria and deal breaker in investor selection processes
Authors: Sturm Tobias , Bican Peter M. , Riar Frederik J. , Guderian Carsten C. , Welz Tobias 
Published: October 2024

Abstract
This study provides insights into the criteria applied by entrepreneurs in selecting venture capital investors. Building upon interviews with entrepreneurs, we outline a framework that categorizes the decision-making process into three principal criteria clusters: (1) financial aspects, with a focus on valuation; (2) value-added services; and (3) personal fit attributes. We identify key factors within these categories, such as valuation, network, expertise, reputation, empathy, trust, and the personal connection between investors and entrepreneurs, as pivotal in guiding entrepreneurs” choices for the “right” investor. Our analysis reveals the interrelatedness of these criteria, notably how they align with the valuation aspect. Entrepreneurs exhibit a readiness to accept lower valuations if compensated with enhanced value-added services. Additionally, we uncover novel insights into deal breakers within the financing, decision-making and negotiation processes. Entrepreneurs predominantly halt negotiations due to perceived unfair valuations, inadequate investor expertise, and overly rigorous control measures, including stringent reporting requirements. These findings provide a deeper understanding of the entrepreneurs’ decision-making paradigms during financing scenarios, offering valuable implications for entrepreneurs, venture capital managers, and policymakers and addressing gaps in existing research on the adverse functions of specific selection criteria.
Treatment of Obstructive Sleep Apnea in patients with Alzheimer’s Disease: role of Continuous Positive Airway Pressure therapy
Authors: Rollo Eleonora , Gnoni Valentina , Tamburrino Ludovica , Filardi Marco , Logroscino Giancarlo 
Published: October 2024

Abstract
Purpose of Review
Obstructive Sleep Apnea (OSA) is a frequent comorbidity in patients with Alzheimer’s Disease (AD). This narrative review critically examines current evidence on the relationship between OSA and AD, discussing their shared pathogenic mechanisms. Furthermore, the review focuses on the rationale, effectiveness, and feasibility of Continuous Positive Airway Pressure (CPAP) treatment in patients with comorbid OSA and mild cognitive impairment (MCI) or dementia due to AD. Finally, this review provides clinicians with a practical approach for the proper diagnosis, and management of OSA in patients with AD either in the context of memory clinics and sleep medicine centers.

Recent Findings
Chronic intermittent hypoxia, glymphatic system failure and sleep disruption are the most important mechanisms connecting OSA to AD pathophysiology. Randomized clinical trials and observational studies show that OSA treatment with CPAP in patients with AD results in improvement of daytime vigilance, mood and executive functions as well as sleep consolidation. Moreover, it has been shown that CPAP has a mild potential effect on cognitive trajectories over time. Interestingly, adherence rates to CPAP treatment are similar to those reported in the general population.

Summary
Patients with MCI and AD dementia should be screened for the presence of OSA as part of the routinary clinical evaluation. Given its proven efficacy and feasibility, treatment with CPAP should be offered in patients with comorbid AD and moderate-severe OSA and a proper follow-up should be established to ensure treatment compliance and tolerability.
Posttraumatic growth trajectories among adolescents during COVID-19 pandemic: the role of time-varying stress reactions and systems’ satisfaction
Authors: Taddei Benedetta , De Luca Lisa , Nocentini Annalaura 
Published: October 2024

AbstractThe study aims to examine longitudinal trajectories of Post Traumatic Growth (PTG) during the COVID-19 pandemic in a sample of 190 (54.70% female) early adolescents with a mean age of 11.34 years (SD = 0.82). The influence of the time-invariant predictor - resilience traits - and time-varying covariates - COVID-19 related stress and systems life satisfaction - on the trajectories was further examined. The latent growth curve analysis showed a significant negative slope, suggesting a linear decline in PTG over time. Pre-pandemic time-invariant predictors did not explain inter-individual variability in PTG, whereas time-varying covariates were significantly associated with short-term PTG variations. In particular, adolescents with higher levels of COVID-19-related stress reported significantly higher PTG scores at each time point, with the effect gradually decreasing over the three waves. In parallel, systems life satisfaction was significantly associated with higher PTG. The findings support the idea of PTG as a potential coping strategy in response to stressful situations and highlight the critical role of stress and systems life resources in triggering growth after a stressful life event.
Multidimensional perfectionism and orthorexia: a systematic review and meta-analysis
Authors: Pratt Verity B. , Hill Andrew P. , Madigan Daniel J. 
Published: October 2024

Abstract
Purpose
We provide the first systematic review and meta-analysis of research examining multidimensional perfectionism—perfectionistic strivings and perfectionistic concerns—and orthorexia.

Methods
The systematic review and meta-analysis was pre-registered and conducted using a search of PsycINFO, MEDLINE, Education Abstracts, and Oxford Academic, and ScienceDirect up to April 2023. PRISMA guidelines were also followed. Meta-analysis using random-effects models was used to derive independent and unique effects of perfectionism, as well as total unique effects (TUE), and relative weights. Moderation of effects were examined for age, gender, domain, perfectionism and orthorexia instruments, and methodological quality.

Results
Eighteen studies, including 19 samples (n = 7064), met the eligibility criteria with 12 of these studies (with 13 samples; n = 4984) providing sufficient information for meta-analysis. Meta-analysis revealed that perfectionistic strivings (r+  = 0.27, 95% CI [0.21, 0.32]) and perfectionistic concerns (r+  = 0.25, 95% CI [0.18, 0.31]) had positive relationships with orthorexia. After controlling for the relationship between perfectionism dimensions, only perfectionistic strivings predicted orthorexia which also contributed marginally more to an overall positive total unique effect of perfectionism (TUE = 0.35; 95% CI [0.28, 0.42]). There was tentative evidence that orthorexia instrument moderated the perfectionistic concerns-orthorexia relationship.

Discussion
Research has generally found that both dimensions of perfectionism are positively related to orthorexia. More high-quality research is needed to examine explanatory mechanisms while also gathering further evidence on differences in findings due to how orthorexia is measured, as well as other possible moderating factors.

Level of evidence
Level 1, systematic review and meta-analysis.
Considering a Unified Model of Artificial Intelligence Enhanced Social Work: A Systematic Review
Authors: Garkisch Michael , Goldkind Lauri 
Published: October 2024

AbstractSocial work, as a human rights–based profession, is globally recognized as a profession committed to enhancing human well-being and helping meet the basic needs of all people, with a particular focus on those who are marginalized vulnerable, oppressed, or living in poverty. Artificial intelligence (AI), a sub-discipline of computer science, focuses on developing computers with decision-making capacity. The impacts of these two disciplines on each other and the ecosystems that social work is most concerned with have considerable unrealized potential. This systematic review aims to map the research landscape of social work AI scholarship. The authors analyzed the contents of 67 articles and used a qualitative analytic approach to code the literature, exploring how social work researchers investigate AI. We identified themes consistent with Staub-Bernasconi’s triple mandate, covering profession level, social agency (organizations), and clients. The literature has a striking gap or lack of empirical research about AI implementations or using AI strategies as a research method. We present the emergent themes (possibilities and risks) from the analysis as well as recommendations for future social work researchers. We propose an integrated model of Artificial Intelligence Enhanced Social Work (or “Artificial Social Work”), which proposes a marriage of social work practice and artificial intelligence tools. This model is based on our findings and informed by the triple mandate and the human rights framework.
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements
Authors: Gili Kaitlin , Alonso Guillermo , Schuld Maria 
Published: October 2024

AbstractThere are two major approaches to building good machine learning algorithms: feeding lots of data into large models or picking a model class with an “inductive bias” that suits the structure of the data. When taking the second approach as a starting point to design quantum algorithms for machine learning, it is important to understand how mathematical structures in quantum mechanics can lead to useful inductive biases in quantum models. In this work, we bring a collection of theoretical evidence from the quantum cognition literature to the field of quantum machine learning to investigate how non-commutativity of quantum observables can help to learn data with “order effects,” such as the changes in human answering patterns when swapping the order of questions in a survey. We design a multi-task learning setting in which a generative quantum model consisting of sequential learnable measurements can be adapted to a given task — or question order — by changing the order of observables, and we provide artificial datasets inspired by human psychology to carry out our investigation. Our first experimental simulations show that in some cases the quantum model learns more non-commutativity as the amount of order effect present in the data is increased and that the quantum model can learn to generate better samples for unseen question orders when trained on others — both signs that the model architecture suits the task.
An Energy-Efficient Bio-Inspired Mobility-Aware Cluster p-WOA Algorithm for Intelligent Whale Optimization and Fuzzy-Logic-Based Zonal Clustering Algorithm in FANET
Authors: Karpagalakshmi R. C. , Rani D. Leela , Magendiran N. , Manikandan A. 
Published: October 2024

AbstractThe newest research topic is flight ad hoc network (FANET). The primary obstacles faced by unmanned aerial vehicles (UAVs) are their limited flight duration and inefficient routes resulting from their great mobility and low battery power. Compared to MANETs or VANETs, FANETS routing is thought to be more difficult because of these topological restrictions. Artificial intelligence (AI)-based clustering techniques can be applied to resolve intricate routing issues in situations when both static and dynamic routing are ineffective. To overcome these path difficulties, clustering techniques based on evolutionary algorithms, including intelligent, probabilistic, bio-inspired whale optimization algorithms (p-WOAs), we suggest fuzzy-logic-based zonal clustering-based routing algorithms in this study to be used in FANET to build clusters. In addition to requiring fewer cluster heads (CHs) for routing, p-WOA offers good coverage and low energy consumption. The stochastic whale optimization technique, which draws inspiration from nature, is utilized in this paper to build networks and deploy nodes. The next step is to choose cluster heads using a region clustering technique based on fuzzy logic. By selecting the right cluster head, you can decrease routing traffic and increase cluster longevity. Routing overhead is also decreased. The data are then sent to the best path using a reference point group mobility model. The proposed p-WOA was used to test fuzzy integral and fuzzy logic ant optimization, fuzzy integral and neural network interference system, fuzzy integral and whale optimization algorithm (ANFIS-WOA), and fuzzy integral and FL-ALO. An array of indicators, such as cluster count, longevity, cluster configuration time, cluster head consistency, and energy usage, are employed to assess the effectiveness of the suggested methodology. The suggested algorithm works better than the most advanced techniques available today, as demonstrated by the experimental findings presented in this paper.
A randomized trial comparing the intraoperative durability of double-gloving with Biogel® surgical gloves to 3 comparators
Authors: Doll Michelle , Namoos Asmaa , Kang Le , Satpathy Jibanananda , Feldman Michael J. , Cassano Anthony , Bohl Jaime , Aboutanos Michel B. , Cameron Brian , Kim Jason , Asbury Celine , Haque Mahdee , Hess Olivia , Ahlbom Henrik , Bearman Gonzalo 
Published: October 2024

Abstract

Objective:
To determine and compare the intraoperative durability of 4 major surgical glove brands.

Design, Setting, and Participants:
This study is a randomized open-label clinical trial in which surgical gloves from 4 manufacturers are randomized to 5 surgical subspecialty study groups: (1) orthopedic surgery, (2) neurosurgery, (3) colorectal surgery, (4) trauma or acute general surgery, and (5) cardiac and plastic surgeries. The study was divided into 10 periods, with a cross-over design, and was conducted at a tertiary care academic medical center. Participants were licensed and certified physicians, physicians-in-training, scrub nurses, or technicians working within the sterile field.

Interventions:
Participants from each study group were randomly assigned to 1 of 4 surgical glove manufacturer types and subsequently rotated through the other 3 glove brands such that each participant acted as their own control in the sequential cross-over design.

Main Outcomes and Measures:
The primary outcome was to determine and compare the intraoperative failure rate of Biogel® Sterile Surgical undergloves against sterile surgical undergloves from 3 other manufacturers, both as a combined competitor group and individually.

Results:
There were no differences between brands with respect to the primary outcome of underglove intraoperative failures. Brand 1 wearers were slightly more likely to detect glove failures when they occurred.

Conclusion:
The durability of surgical gloves intraoperatively is similar across 4 major glove manufacturers. Detection of intraoperative failures is infrequent, though specific glove characteristics may promote enhanced detection. Recognition of glove perforations intraoperatively is important in the maintenance of a maximally sterile field.

Trial Registration:
ClinicalTrials.gov Identifier: NCT03344354.
Rethinking our future: Describing and enhancing the impacts of dissemination and implementation science for cancer prevention and control
Authors: Cuevas Soulette Vianca , Emmons Karen M. , Luke Douglas A. , Allen Peg , Carothers Bobbi J. , Brownson Ross C. 
Published: October 2024

Abstract

Background:
Researchers generally do an excellent job tracking the scientific impacts of their scholarship in ways that are relevant for academia (e.g., publications, grants) but too often neglect to focus on broader impacts on population health and equity. The National Cancer Institute’s Implementation Science Centers in Cancer Control (ISC3) includes 7 P50 Centers that are interested in broad measures of impact. We provide an overview of the approach underway within the ISC3 consortium to identify health and social impacts.

Methods:
ISC3 adapted and applied the Translational Science Benefits Model (TSBM) to identify the impact on the discipline of D&I science and to consider dissemination and implementation (D&I) impacts in the four original TSBM domains: (1) clinical; (2) community; (3) economic; and (4) policy. To collect data from all Centers, we: (1) co-developed a set of detailed impact indicators with examples; (2) created a data collection template; and (3) summarized the impact data from each center.

Results:
Based on data from 48 ISC3 pilot studies, cores, or consortium activities, we identified 84 distinct benefits. The most common impacts were shown for implementation science (43%), community (28%), and clinical (18%). Frequent audiences included primary care providers, public health practitioners, and community partners. ISC3 members highlighted the need for product feedback, and storytelling assistance to advance impact.

Conclusions:
The ISC3 consortium is using a participatory approach to successfully apply the TSBM, thus seeking to maximize the real-world impacts of D&I science. The D&I field needs to prioritize ways to more fully document and communicate societal impacts.
The transformative journey of community health workers in implementing a lifestyle intervention in Brazil: A qualitative study
Authors: Schwingel Andiara , Selzer Ana , Felix Deanivea Mendes , Chodzko-Zajko Wojtek , Umpierre Daniel , Reichert Felipe , Hallal Pedro 
Published: October 2024

Abstract

Introduction:
Community health workers (CHWs) stand as critical frontline agents within the Brazilian healthcare system. In this qualitative study, we examined the impact of a community-based behavioral change intervention spearheaded by CHWs.

Methods:
The intervention focused on promoting healthy behaviors – physical activity, nutrition, and emotional well-being – among individuals aged 50 and older living in a rural community in Brazil. The intervention was designed, implemented, and evaluated in close collaboration with CHWs and local administrators. The implementation of the intervention unfolded in two waves, each lasting 12 months. Interviews with CHWs, health administrators, and intervention participants conducted at post-intervention and 6-year follow-up centered on CHWs as delivery agents and examined the implementation of the intervention in primary care contexts around adoption, implementation, and long-term maintenance.

Results:
Inductive analysis revealed four themes that highlight CHWs’ motivation to take active roles in health promotion and overcoming challenges such as unfamiliarity with new roles or limited training. In addition, enhanced community bonds, job satisfaction, and trust in CHWs gained through the intervention, empowered CHWs to realize their potential and importance. Another important area relates to the CHWs’ ability to leverage their deep community ties and cultural insights to enhance the intervention’s significance. CHWs’ participation in the program also led to personal benefits and self-care practices, setting an example for the community they serve.

Conclusions:
This study underscores the positive impact of a community-based intervention led by CHWs. Such programs have the potential for nationwide dissemination, leveraging the CHWs’ widespread presence and deep community integration.
Emerging Vulnerabilities and Risks in Therapy Manufacture: Cell and Gene Therapy Production as an Emerging Domain of Critical Infrastructure
Authors: Bicudo Edison , Brass Irina 
Published: October 2024

Abstract
Cell and gene therapies derive from a substantial manipulation of cells or the application of gene editing techniques. They are promising products because they enable therapy personalisation, are potentially helpful for treating rare or resistant diseases, and may become useful in future epidemics. Because of this strategic worth, the infrastructure needed for manufacturing these therapies is turning into a subdomain within the domain of critical infrastructures (CIs), understood as the structures whose operation is key for the integrity and security of a nation. This paper analyses why cell and gene therapy infrastructure can be considered as an emergent CI domain, stressing three aspects: automated manufacturing equipment; software solutions (including the growing adoption of artificial intelligence and cloud technology); and human expertise. These complex manufacturing systems, which are becoming increasingly automated and digitalised, may be surrounded by new risks and vulnerability points, which requires adequate regulatory solutions and governance initiatives. A comprehensive approach is therefore advanced here, where therapy manufacture has medical and technological relevance, but is equally crucial from the viewpoint of nations’ public health and internal stability.