bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of different treatment protocols on in vitro fertilisation/intracytoplasmic sperm injection (IVF/ICSI) outcomes in adenomyosis women: a systematic review and meta-analysis
Authors: Ge Li , Li Yexing , Zhou Jiayi , Zhao Xueqing , Chen Xiaojing , Wang Wenting , Li Zhongyuan , Ge Pengbo , Cui Linlin 
Published: July 2024

ObjectivesPregnancy outcomes of different ovarian stimulation protocols for in vitro fertilisation/intracytoplasmic sperm injection (IVF/ICSI) in patients with adenomyosis are not explicit. This meta-analysis aimed to systematically evaluate the effects of different IVF/ICSI protocols on pregnancy outcomes.DesignMeta-analysis.Data sourcesPubMed, Web of Science and Cochrane library were searched up to October 2023.Eligibility criteriaComparative studies on IVF/ICSI outcomes in the adenomyosis population were eligible. Studies on preimplantation genetic testing, reviews, case reports and animal experiments were excluded.Data extraction and synthesisValid information was extracted by two independent authors according to a standard data format. All analyses were conducted using Review Manager (RevMan, V.5.3).ResultsCompared with the non-adenomyosis population, adenomyosis was responsible for a 26% reduction in clinical pregnancy rate (CPR; 42.47% vs 55.89%, OR: 0.74, 95% CI: 0.66 to 0.82, p<0.00001), a 35% reduction in live birth rate (LBR; 30.72% vs 47.77%, OR: 0.65, 95% CI: 0.58 to 0.73, p<0.00001) and a 1.9-fold increase in miscarriage rate (MR; 27.82% vs 13.9%, OR: 1.90, 95% CI: 1.56 to 2.31, p<0.00001). Subgroup analysis suggested that, in fresh embryo transfer (ET) cycles, the CPR (34.4% vs 58.25%) in the long/short/antagonist protocol group was poorer than that in the ultralong protocol group. In frozen ET (FET) cycles, there were no statistical differences in CPR ((GnRHa+FET) AM(adenomyosis) vs non-AM: 51.32% vs 43.48%, p=0.31; (non-GnRHa+FET) AM vs non-AM: 50.25% vs 60.10%, p=0.82), MR ((GnRHa+FET) AM vs non-AM:12.82% vs 12.50%, p=0.97; (non-GnRHa+FET) AM vs non-AM: 30.5% vs 15.54%, p=0.15) and LBR ((GnRHa+FET) AM vs non-AM:44.74% vs 36.96%, p=0.31; (non-GnRHa+FET) AM vs non-AM: 34.42% vs 50.25%, p=0.28). The MR in the adenomyosis group was high in the fresh ET and FET cycles.ConclusionsFET might be a better choice for women with adenomyosis, especially those pretreated with GnRHa. In fresh ET cycles, pregnancy outcomes of the long/short/antagonist protocols were poorer than those of the ultralong protocol.Trial registration numberCRD42022340743.
Evidence-based practice knowledge, attitude, practice and barriers as predictors of stay intent among Jordanian registered nurses: a cross-sectional study
Authors: Al-Ghabeesh Suhair , Khalifeh Anas Husam , Rayan Ahmad 
Published: July 2024

AimThis study aimed to identify factors influencing stay intent among Jordanian registered nurses, with a specific focus on the role of evidence-based practice (EBP) knowledge, attitudes, practices and barriers.MethodsA descriptive cross-sectional study of 311 nurses from 5 hospitals was conducted from January 2022 to June 2022. Participants completed data about stay intent and knowledge, attitude, practice and barriers of EBP. Data were analysed using SPSS program V.24.FindingsEBP attitudes, practices, knowledge and barriers significantly predicted stay intent, controlling for participants and workplace characteristics. Private hospitals (t=−4.681, Β=−0.287, p<0.001), having a library in the healthcare institution (t=−2.018, Β=−0.118, p<0.001) and adopter barriers (t=−1.940, Β=−0.105, p=0.05) were significantly associated with stay intent.ConclusionOur findings show that EBP influences Jordanian nurses’ intent to stay. It highlights the importance of addressing EBP barriers, especially in private hospitals as well as library access issues, in enhancing nurse retention and healthcare outcomes in Jordan.
Development of an intervention for patients following an anterior cruciate ligament rupture: an online nominal group technique consensus study
Authors: Carter Hayley , Beard David , Leighton Paul , Moffatt Fiona , Smith Benjamin E , Webster Kate E , Logan Phillipa 
Published: July 2024

Objectives(1) To develop an intervention for to support patients diagnosed with an anterior cruciate ligament (ACL) rupture with decision-making regarding treatment. (2) To define evidence-based recommendations for the treatment of patients following an ACL rupture.DesignNominal group technique consensus study.SettingOnline meetings with patients and key stakeholders working and receiving treatment in the National Health Service, UK.ParticipantsConsensus meetings composed of eight voting participants and five non-voting facilitators. Voting participants included five clinicians, one outpatient therapy manager and two patients with experience in an ACL rupture and reconstructive surgery. Non-voting facilitators supported group discussions and/or observed study procedures. This included a clinical academic expert, two methodology experts and two patient representatives.MethodTwo online meetings were held. Pre-elicitation material was distributed ahead of the first meeting. Premeeting voting was conducted ahead of both meetings. A draft of the shared decision-making intervention and recommendations were shared ahead of the second meeting. Components were discussed and ranked for inclusion based on a 70% agreement threshold.ResultsThe meetings led to the development of a shared decision-making intervention to support treatment decision-making following an ACL rupture. The intervention includes two components: (1) a patient information leaflet and key questions diagram and (2) option grid. The evidence-based recommendations encompass core components of treatment reaching the 70% threshold agreed by the group. The recommendations cover: (1) advice and education, (2) exercise guidance, (3) intervention delivery, (4) outcome measure use and (5) shared decision-making.ConclusionThis study has successfully developed a shared decision-making intervention to support ACL treatment decision-making, ready for testing in a future feasibility study. Evidence-based recommendations for the treatment of patients following ACL injury, ready for testing in a National Health Service (UK) setting, are also presented.Trial registration numberNCT05529511.
Impact of healthcare interventions on distress following acute musculoskeletal/orthopaedic injury: a scoping review of systematic reviews
Authors: Sim Alison , McNeilage Amy Gray , Gholamrezaei Ali , Rebbeck Trudy , Ashton-James Claire 
Published: July 2024

BackgroundMusculoskeletal injuries can cause distress, and distress is associated with delayed recovery. Numerous interventions have been developed to facilitate recovery from injury, and several systematic reviews evaluate the efficacy of these interventions for reducing psychological distress.ObjectivesThis scoping review aims to map the synthesised evidence for the relationship between treatment interventions and distress-related outcomes following acute injury. The objectives were (1) to describe the types of interventions that have been evaluated in relation to distress-related outcomes following accidental injury, (2) to examine the scope of distress-related outcomes that have been measured in relation to these interventions and (3) to explore the range of clinical professions that deliver these interventions.DesignWe searched nine electronic databases and grey literature (to 21 April 2022). We included any systematic review reporting on the relationship between interventions delivered in the time following injury and distress-related outcomes. Data relevant to the specific objectives of this scoping review were extracted and described using narrative synthesis.ResultsFrom 8412 systematic reviews imported for screening, 8266 unique records were screened. 179 were selected for full-text review. 84 systematic reviews were included in the study. Interventional types were pharmacological, psychological, exercise based, physical/manual therapies, virtual reality based, multimodal and workplace based. Interventions were delivered digitally, face to face and using virtual reality by a variety of healthcare professionals, including doctors, nurses, psychologists and physiotherapists. The most frequently reported distress-related variables included anxiety, depression, post-traumatic stress disorder diagnosis.ConclusionA wide range of interventions may help to mitigate distress following acute accidental musculoskeletal or orthopaedic injury. Even interventions that were not designed to reduce distress were found to improve distress-related outcomes. In view of the important role of distress in recovery from injury, it is recommended that distress-related variables are measured as core outcomes in the evaluation of treatments for acute injuries.
Effects of interacting with a large language model compared with a human coach on the clinical diagnostic process and outcomes among fourth-year medical students: study protocol for a prospective, randomised experiment using patient vignettes
Authors: Kämmer Juliane E , Hautz Wolf E , Krummrey Gert , Sauter Thomas C , Penders Dorothea , Birrenbach Tanja , Bienefeld Nadine 
Published: July 2024

IntroductionVersatile large language models (LLMs) have the potential to augment diagnostic decision-making by assisting diagnosticians, thanks to their ability to engage in open-ended, natural conversations and their comprehensive knowledge access. Yet the novelty of LLMs in diagnostic decision-making introduces uncertainties regarding their impact. Clinicians unfamiliar with the use of LLMs in their professional context may rely on general attitudes towards LLMs more broadly, potentially hindering thoughtful use and critical evaluation of their input, leading to either over-reliance and lack of critical thinking or an unwillingness to use LLMs as diagnostic aids. To address these concerns, this study examines the influence on the diagnostic process and outcomes of interacting with an LLM compared with a human coach, and of prior training vs no training for interacting with either of these ‘coaches’. Our findings aim to illuminate the potential benefits and risks of employing artificial intelligence (AI) in diagnostic decision-making.Methods and analysisWe are conducting a prospective, randomised experiment with N=158 fourth-year medical students from Charité Medical School, Berlin, Germany. Participants are asked to diagnose patient vignettes after being assigned to either a human coach or ChatGPT and after either training or no training (both between-subject factors). We are specifically collecting data on the effects of using either of these ‘coaches’ and of additional training on information search, number of hypotheses entertained, diagnostic accuracy and confidence. Statistical methods will include linear mixed effects models. Exploratory analyses of the interaction patterns and attitudes towards AI will also generate more generalisable knowledge about the role of AI in medicine.Ethics and disseminationThe Bern Cantonal Ethics Committee considered the study exempt from full ethical review (BASEC No: Req-2023-01396). All methods will be conducted in accordance with relevant guidelines and regulations. Participation is voluntary and informed consent will be obtained. Results will be published in peer-reviewed scientific medical journals. Authorship will be determined according to the International Committee of Medical Journal Editors guidelines.
Maiolica seen by Vis–NIR hyperspectral imaging spectroscopy: the application of an ultraportable camera at the Museo Nazionale del Bargello
Authors: Galluzzi Francesca , Manca Rosarosa , Puntin Massimiliano , Raneri Simona , Sciuto Claudia , Benvenuti Marco , Chapoulie Rémy 
Published: July 2024

AbstractAn ultraportable hyperspectral camera operating in the Vis–NIR range (400–1000 nm) was used in this study for the non-invasive analysis of a selection of Italian maiolica wares and sherds from the Museo Nazionale del Bargello in Florence, Italy. The studied objects included authentic archaeological sherds, nineteenth-century forgeries, and ceramics of uncertain origin. The primary aim of this study was to evaluate the efficacy of hyperspectral imaging (HSI) spectroscopy combined with multivariate analysis for examining highly refractive and three-dimensional glazed ceramic artefacts within the constraints of a museum environment, including imperfect lighting conditions. Two data processing pipelines were tested: one based on principal component analysis (PCA) with score plots and the other on spectral angle mapper (SAM) classification obtained through the ENVI Spectral Hourglass Wizard (ENVI-SHW). The analyses enabled the discrimination between original parts and/or restored parts and additions. Among others, a complex assemblage of original sherds, restored parts, and non-ceramic parts was observed in a Renaissance pastiche vase. Furthermore, the method enabled the identification of the various chromophores providing clues on the artistic colour palette. In particular, the identification of chromium in the blue and green glazes of two objects of uncertain chronology suggested that they were not made before the nineteenth century. The acquisition of a larger and more detailed database of HSI data on maiolica glazes is strongly encouraged to improve the applicability of this method in authenticity, art-historical and archaeological studies.
3D Surface-Enhanced Raman Scattering Substrate Based on an Array of Self-Assembled Au@SiO2 Microspheres
Authors: Liang Jiran , Wang Shuai , Yang Guixiang , Liang Xiu , Zhang Dequan , Zhang Chengye , Bai Yu , Lei Dangyuan 
Published: July 2024

A quasi-periodic array of 3D gold-nanoparticle-capped SiO2 microspheres (Au@SiO2) was designed and prepared with a facile approach to enhance the Raman signal intensity of adsorbed biomolecules. Through adjusting the thickness and annealing of Au thin films initially deposited on arrays of self-assembled SiO2 microspheres, we were able to control the diameter of Au nanoparticles and their interparticle spacing to produce two types of plasmonic near-field hot spots, locating at the gaps of such densely arranged Au nanoparticles on individual SiO2 microspheres and in the gap regions of neighboring SiO2 microspheres, respectively. Such double near-field enhancement mechanism leads to a surface-enhanced Raman scattering (SERS) enhancement factor up to 3 × 106 for Rhodamine 6G molecules. The SERS signal intensity was highly uniform with a relative standard deviation of 4.5%. This 3D SERS substrate has significant potential for various applications in the field of SERS detection of analytes and wearable biosensing.
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding
Authors: Luo Della Daiyi , Giri Bapun , Diba Kamran , Kemere Caleb 
Published: July 2024

Abstract
Dimension reduction on neural activity paves a way for unsupervised neural decoding by dissociating the measurement of internal neural pattern reactivation from the measurement of external variable tuning. With assumptions only on the smoothness of latent dynamics and of internal tuning curves, the Poisson gaussian-process latent variable model (P-GPLVM; Wu et al., 2017) is a powerful tool to discover the low-dimensional latent structure for high-dimensional spike trains. However, when given novel neural data, the original model lacks a method to infer their latent trajectories in the learned latent space, limiting its ability for estimating the neural reactivation. Here, we extend the P-GPLVM to enable the latent variable inference of new data constrained by previously learned smoothness and mapping information. We also describe a principled approach for the constrained latent variable inference for temporally compressed patterns of activity, such as those found in population burst events during hippocampal sharp-wave ripples, as well as metrics for assessing the validity of neural pattern reactivation and inferring the encoded experience. Applying these approaches to hippocampal ensemble recordings during active maze exploration, we replicate the result that P-GPLVM learns a latent space encoding the animal’s position. We further demonstrate that this latent space can differentiate one maze context from another. By inferring the latent variables of new neural data during running, certain neural patterns are observed to reactivate, in accordance with the similarity of experiences encoded by its nearby neural trajectories in the training data manifold. Finally, reactivation of neural patterns can be estimated for neural activity during population burst events as well, allowing the identification for replay events of versatile behaviors and more general experiences. Thus, our extension of the P-GPLVM framework for unsupervised analysis of neural activity can be used to answer critical questions related to scientific discovery.
On the Mathematical Relationship Between Contextual Probability and N400 Amplitude
Authors: Michaelov James A. , Bergen Benjamin K. 
Published: July 2024

Abstract
Accounts of human language comprehension propose different mathematical relationships between the contextual probability of a word and how difficult it is to process, including linear, logarithmic, and super-logarithmic ones. However, the empirical evidence favoring any of these over the others is mixed, appearing to vary depending on the index of processing difficulty used and the approach taken to calculate contextual probability. To help disentangle these results, we focus on the mathematical relationship between corpus-derived contextual probability and the N400, a neural index of processing difficulty. Specifically, we use 37 contemporary transformer language models to calculate the contextual probability of stimuli from 6 experimental studies of the N400, and test whether N400 amplitude is best predicted by a linear, logarithmic, super-logarithmic, or sub-logarithmic transformation of the probabilities calculated using these language models, as well as combinations of these transformed metrics. We replicate the finding that on some datasets, a combination of linearly and logarithmically-transformed probability can predict N400 amplitude better than either metric alone. In addition, we find that overall, the best single predictor of N400 amplitude is sub-logarithmically-transformed probability, which for almost all language models and datasets explains all the variance in N400 amplitude otherwise explained by the linear and logarithmic transformations. This is a novel finding that is not predicted by any current theoretical accounts, and thus one that we argue is likely to play an important role in increasing our understanding of how the statistical regularities of language impact language comprehension.
Preschoolers’ Comprehension of Functional Metaphors
Authors: Zhu Rebecca , Goddu Mariel K. , Zhu Lily Zihui , Gopnik Alison 
Published: July 2024

Abstract
Previous work suggests that preschoolers often misunderstand metaphors. However, some recent studies demonstrate that preschoolers can represent abstract relations, suggesting that the cognitive foundations of metaphor comprehension may develop earlier than previously believed. The present experiments used novel paradigms to explore whether preschoolers (N = 200; 4–5 years; 100 males, 100 females; predominantly White) can understand metaphors based on abstract, functional similarities. In Experiment 1, preschoolers and adults (N = 64; 18–41 years; 25 males, 39 females; predominantly White) rated functional metaphors (e.g., “Roofs are hats”; “Tires are shoes”) as “smarter” than nonsense statements (e.g., “Boats are skirts”; “Pennies are sunglasses”) in a metalinguistic judgment task (d = .42 in preschoolers; d = 3.06 in adults). In Experiment 2, preschoolers preferred functional explanations (e.g., “Both keep you dry”) over perceptual explanations (e.g., “Both have pointy tops”) when interpreting functional metaphors (e.g., “Roofs are hats”) (d = .99). In Experiment 3, preschoolers preferred functional metaphors (e.g., “Roofs are hats”) over nonsense statements (e.g., “Roofs are scissors”) when prompted to select the “better” utterance (d = 1.25). Moreover, over a quarter of preschoolers in Experiment 1 and half of preschoolers in Experiment 3 explicitly articulated functional similarities when justifying their responses, and the performance of these subsets of children drove the success of the entire sample in both experiments. These findings demonstrate that preschoolers can understand metaphors based on abstract, functional similarities.
A Criteria to Reduce Interhospital Transfer of Traumatic Brain Injuries in Greater East Texas
Authors: Murry Jason , Cook Alan D. , Swindall Rebecca J. , Kanazawa Hirofumi , Wadle Carly R. , Mohiuddin Musharaf , Nalbach Stephen V. , Le Tuan D. , Pero Brandi N. , Norwood Scott H. 
Published: July 2024

Background Traumatic brain injury (TBI) due to single-level falls (SLF) are frequent and often require interhospital transfer. This retrospective cohort study aimed to assess the safety of a criteria for non-transfer among a subset of TBI patients who could be observed at their local hospital, vs mandatory transfer to a level 1 trauma center (L1TC). Methods We conducted a 7-year review of patients with TBI due to SLF at a rural L1TC. Patients were classified as transfer/non-transfer according to the Brain Injuries in Greater East Texas (BIGTEX) criteria. The primary outcome measure was the occurrence of a critical event defined as deteriorating repeat head computed tomography (CT) scan or neurological status, neurosurgical intervention, or death. Results Of the 689 included patients, 63 (9.1%) were classified as non-transfer. Although there were 4 cases with a neurological change and one with a head CT change among the non-transfer group, there were no neurosurgical procedures or deaths. The Cox Proportional Hazard model showed a near 3-fold increased risk of experiencing a critical event if classified as a non-transfer. The multivariable regression model showed patients with an Abbreviated Injury Scale (AIS) of 3 was twice as likely to experience a critical event, with an AIS of 4, three times, and 3 times more likely to be classified to transfer. Discussion The BIGTEX criteria identify a subset of patients who can safely be observed at their local hospital. To confirm the safety and efficacy of this transfer criteria recommendation, a prospective study is warranted.
Testing contingency theory to drive organizational change in community care: A case study in the Emilia Romagna Region
Authors: Gabutti Irene , Fantini Maria Pia , Reno Chiara 
Published: July 2024

Purpose The objective is to test contingency theory among “community homes” in a region in Northern Italy. Community homes constitute an emerging key setting in the Italian primary healthcare system and are emblematic of the most recent organizational solutions in primary care across countries. Methods A case study was carried out through semi-structured interviews administered in community homes to key professionals. Results were validated in two communities of practices. Findings Several elements of organizational and managerial variability were detected across the sample of community homes involved in the study, although they were all responding to the same regulations and normative pressures. Original value The study provides preliminary evidence on the role of contingency theory in the primary healthcare sector, shedding light on its characteristics and providing food for thought on the extent to which organizational variability should be supported, rather than hindered.