bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation and Clinical Impact of a Guideline for Standardized, Evidence-Based Induction of Labor
Authors: Triebwasser Jourdan E. , Louis LeAnn , Bailey Joanne M. , Mitchell-Solomon Leah , Malone Anita M. , Hamm Rebecca F. , Moniz Michelle H. , Stout Molly J. 
Published: April 2024

Objective This study aimed to assess the impact of implementation of an induction of labor (IOL) guideline on IOL length and utilization of evidence-based practices.
Study Design We conducted a quality improvement project to increase utilization of three evidence-based IOL practices: combined agent ripening, vaginal misoprostol, and early amniotomy. Singletons with intact membranes and cervical dilation ≤2 cm admitted for IOL were included. Primary outcome was IOL length. Secondary outcomes included cesarean delivery and practice utilization. We compared preimplementation (PRE; November 1, 2021 through January 31, 2022) to postimplementation (POST; March 1, 2022 through April 30, 2022) with sensitivity analyses by self-reported race and ethnicity. Cox proportional hazards models and logistic regression were used to test the association between period and outcomes.
Results Among 495 birthing people (PRE, n = 293; POST, n = 202), IOL length was shorter POST (22.0 vs. 18.3 h, p = 0.003), with faster time to delivery (adjusted hazard ratio [aHR] = 1.38, 95% CI: 1.15–1.66), more birthing people delivered within 24 hours (57 vs. 68.8%, adjusted odds ratio [aOR] = 1.90 [95% CI: 1.25–2.89]), and no difference in cesarean. Utilization of combined agent ripening (31.1 vs. 42.6%, p = 0.009), vaginal misoprostol (34.5 vs. 68.3%, p < 0.001), and early amniotomy (19.1 vs. 31.7%, p = 0.001) increased POST.
Conclusion Implementation of an evidence-based IOL guideline is associated with shorter induction time. Additional implementation efforts to increase adoption of practices are needed to optimize outcomes after IOL.
Key Points
Identifying ChatGPT-Written Patient Education Materials Using Text Analysis and Readability
Authors: Monje Silas , Ulene Sophie , Gimovsky Alexis C. 
Published: April 2024

Objective Artificial intelligence (AI)-based text generators such as Chat Generative Pre-Trained Transformer (ChatGPT) have come into the forefront of modern medicine. Given the similarity between AI-generated and human-composed text, tools need to be developed to quickly differentiate the two. Previous work has shown that simple grammatical analysis can reliably differentiate AI-generated text from human-written text.
Study Design In this study, ChatGPT was used to generate 25 articles related to obstetric topics similar to those made by the American College of Obstetrics and Gynecology (ACOG). All articles were geared towards patient education. These AI-generated articles were then analyzed for their readability and grammar using validated scoring systems and compared to real articles from ACOG.
Results Characteristics of the 25 AI-generated articles included fewer overall characters than original articles (mean 3,066 vs. 7,426; p < 0.0001), a greater average word length (mean 5.3 vs. 4.8; p < 0.0001), and a lower Flesch–Kincaid score (mean 46 vs. 59; p < 0.0001). With this knowledge, a new scoring system was develop to score articles based on their Flesch–Kincaid readability score, number of total characters, and average word length. This novel scoring system was tested on 17 new AI-generated articles related to obstetrics and 7 articles from ACOG, and was able to differentiate between AI-generated articles and human-written articles with a sensitivity of 94.1% and specificity of 100% (Area Under the Curve [AUC] 0.99).
Conclusion As ChatGPT is more widely integrated into medicine, it will be important for health care stakeholders to have tools to separate originally written documents from those generated by AI. While more robust analyses may be required to determine the authenticity of articles written by complex AI technology in the future, simple grammatical analysis can accurately characterize current AI-generated texts with a high degree of sensitivity and specificity.
Key Points
A Prospective Study of Lactate Levels in Uncomplicated Spontaneous and Induced Labor
Authors: Kleinmann Whitney , Zofkie Amanda , McIntire Donald , Adhikari Emily H. 
Published: April 2024

Objective Maternal pushing can yield lactate levels that are above the normal range for nonpregnant individuals. Many hospitals require lactate levels as part of sepsis bundles, and this can confuse the clinicians when measured during labor. The objective of this study was to observe lactate levels in uncomplicated labor.
Study Design This was a prospective study of patients presenting to Labor and Delivery in early labor. Patients met inclusion criteria if they presented at 37 weeks' gestation or greater and were either 3 to 4 cm dilated, in early labor with rupture of membranes less than 12 hours, or were being induced for oligohydramnios or postdates gestation. A baseline maternal lactate level was collected at enrollment. Further levels were collected at complete cervical dilation and every 30 minutes during the second stage of labor up to 3 hours or until delivery.
Results From January 7, 2021, through December 30, 2021, a total of 148 screened patients met the inclusion criteria and 38 were enrolled. Eight (21%) patients withdrew after baseline lactate level was drawn. Twenty-three (61%) patients had a level drawn at complete dilation. Of the 12 (32%) patients with a lactate level drawn at complete and after 30 minutes of pushing, the mean change in lactate level was 2.0 ± 1.8 mmol/L or 0.07 ± 0.06 mmol/L/min (p < 0.01). This change is more pronounced in the second stage of labor for patients with chorioamnionitis (2.6 mmol/L), although this difference is not statistically significant (p = 0.41).
Conclusion Lactate levels increase significantly once a patient reaches complete cervical dilation within 30 minutes of pushing. This increase is more pronounced, although significantly, in patients with chorioamnionitis. As sepsis is one of the leading causes of maternal morbidity and mortality, this pilot study is relevant for providers to see the natural course of lactate levels in labor.
Key Points
Cost-effectiveness of Neonatal Hearing Screening Programs: Systematic Review
Authors: Vernier Luíza Silva , Fernandes Carolina Pereira , Skorin Pedro Pablo , Ávila Audrei Thayse Viegel de , Levandowski Daniela Centenaro 
Published: April 2024

Abstract
Introduction Universal newborn hearing screening (UNHS) has been widely and strongly advocated as an early detection strategy for hearing loss in children. This intervention aims to prevent delays in speech and language development, which, in turn, has long-term beneficial effects on the social and emotional development and quality of life of individuals. However, the implementation of UNHS programs is circumstantial in different settings, for different reasons.
Objectives The present systematic review aimed to identify whether the implementation of UNHS programs are cost-effective, as well as their variations by localities.
Data Synthesis A search was conducted in seven databases: PubMed (Medline), Scopus, Web of Science, Embase, CINAHL, Lilacs, and Cochrane Library. Studies that included a cost analysis of UNHS programs were eligible for inclusion. Studies on evaluations of preschool or school-based programs only were excluded, among others. A total of 1,291 records were found. Of these, 23 articles were analyzed in full. All articles identified the cost-effectiveness of the UNHS programs implemented. Regarding the UNHS protocols, a wide variation was observed in all aspects: tests used, period established between tests and retests, professionals responsible for screening, environment, and criteria for defining hearing loss, limiting the generalization of this information. All studies presented values related to the expenses with the program, but none of them showed statistical elements for the described analyzes or any theoretical basis for such.
Conclusion It is necessary to estimate local specific issues, as well as the accuracy of the chosen tests and the NHS protocols used, so that more accurate analyzes on cost-effectiveness are possible.
Temperature Control in Acute Brain Injury: An Update
Authors: Lin Victor , Tian Cindy , Wahlster Sarah , Castillo-Pinto Carlos , Mainali Shraddha , Johnson Nicholas J. 
Published: April 2024

AbstractTemperature control in severe acute brain injury (SABI) is a key component of acute management. This manuscript delves into the complex role of temperature management in SABI, encompassing conditions like traumatic brain injury (TBI), acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), aneurysmal subarachnoid hemorrhage (aSAH), and hypoxemic/ischemic brain injury following cardiac arrest. Fever is a common complication in SABI and is linked to worse neurological outcomes due to increased inflammatory responses and intracranial pressure (ICP). Temperature management, particularly hypothermic temperature control (HTC), appears to mitigate these adverse effects primarily by reducing cerebral metabolic demand and dampening inflammatory pathways. However, the effectiveness of HTC varies across different SABI conditions. In the context of post-cardiac arrest, the impact of HTC on neurological outcomes has shown inconsistent results. In cases of TBI, HTC seems promising for reducing ICP, but its influence on long-term outcomes remains uncertain. For AIS, clinical trials have yet to conclusively demonstrate the benefits of HTC, despite encouraging preclinical evidence. This variability in efficacy is also observed in ICH, aSAH, bacterial meningitis, and status epilepticus. In pediatric and neonatal populations, while HTC shows significant benefits in hypoxic-ischemic encephalopathy, its effectiveness in other brain injuries is mixed. Although the theoretical basis for employing temperature control, especially HTC, is strong, the clinical outcomes differ among various SABI subtypes. The current consensus indicates that fever prevention is beneficial across the board, but the application and effectiveness of HTC are more nuanced, underscoring the need for further research to establish optimal temperature management strategies. Here we provide an overview of the clinical evidence surrounding the use of temperature control in various types of SABI.
Predicting the photodynamics of cyclobutanone triggered by a laser pulse at 200 nm and its MeV-UED signals—A trajectory surface hopping and XMS-CASPT2 perspective
Authors: Janoš Jiří , Figueira Nunes Joao Pedro , Hollas Daniel , Slavíček Petr , Curchod Basile F. E. 
Published: April 2024

This work is part of a prediction challenge that invited theoretical/computational chemists to predict the photochemistry of cyclobutanone in the gas phase, excited at 200 nm by a laser pulse, and the expected signal that will be recorded during a time-resolved megaelectronvolt ultrafast electron diffraction (MeV-UED). We present here our theoretical predictions based on a combination of trajectory surface hopping with XMS-CASPT2 (for the nonadiabatic molecular dynamics) and Born–Oppenheimer molecular dynamics with MP2 (for the athermal ground-state dynamics following internal conversion), coined (NA+BO)MD. The initial conditions were sampled from Born–Oppenheimer molecular dynamics coupled to a quantum thermostat. Our simulations indicate that the main photoproducts after 2 ps of dynamics are CO + cyclopropane (50%), CO + propene (10%), and ethene and ketene (34%). The photoexcited cyclobutanone in its second excited electronic state S2 can follow two pathways for its nonradiative decay: (i) a ring-opening in S2 and a subsequent rapid decay to the ground electronic state, where the photoproducts are formed, or (ii) a transfer through a closed-ring conical intersection to S1, where cyclobutanone ring opens and then funnels to the ground state. Lifetimes for the photoproduct and electronic populations were determined. We calculated a stationary MeV-UED signal [difference pair distribution function—ΔPDF(r)] for each (interpolated) pathway as well as a time-resolved signal [ΔPDF(r,t) and ΔI/I(s,t)] for the full swarm of (NA+BO)MD trajectories. Furthermore, our analysis provides time-independent basis functions that can be used to fit the time-dependent experimental UED signals [both ΔPDF(r,t) and ΔI/I(s,t)] and potentially recover the population of photoproducts. We also offer a detailed analysis of the limitations of our model and their potential impact on the predicted experimental signals.
Entanglement of edge modes in (very) strongly correlated topological insulators
Authors: Ara Nisa , Basu Rudranil , Mathew Emil , Raychowdhury Indrakshi 
Published: April 2024

Abstract
Identifying topological phases for a strongly correlated theory remains a non-trivial task, as defining order parameters, such as Berry phases, is not straightforward. Quantum information theory is capable of identifying topological phases for a theory that exhibits quantum phase transition with a suitable definition of order parameters that are related to different entanglement measures for the system. In this work, we study entanglement entropy for a coupled SSH model, both in the presence and absence of Hubbard interaction and at varying interaction strengths. For the free theory, edge entanglement acts as an order parameter, which is supported by analytic calculations and numerical (DMRG) studies. We calculate the symmetry-resolved entanglement and demonstrate the equipartition of entanglement for this model which itself acts as an order parameter when calculated for the edge modes. As the DMRG calculation allows one to go beyond the free theory, we study the entanglement structure of the edge modes in the presence of on-site Hubbard interaction for the same model. A sudden reduction of edge entanglement is obtained as interaction is switched on. The explanation for this lies in the change in the size of the degenerate subspaces in the presence and absence of interaction. We also study the signature of entanglement when the interaction strength becomes extremely strong and demonstrate that the edge entanglement remains protected. In this limit, the energy eigenstates essentially become a tensor product state, implying zero entanglement. However, a remnant entropy survives in the non-trivial topological phase, which is exactly due to the entanglement of the edge modes.
Cepstral coefficients effectiveness for gunshot classifying
Authors: Svatos Jakub , Holub Jan 
Published: April 2024

Abstract
This paper analyses the efficiency of various frequency cepstral coefficients (FCC) in a non-speech application, specifically in classifying acoustic impulse events-gunshots. There are various methods for such event identification available. The majority of these methods are based on time or frequency domain algorithms. However, both of these domains have their limitations and disadvantages. In this article, an FCC, combining the advantages of both frequency and time domains, is presented and analyzed. These originally speech features showed potential not only in speech-related applications but also in other acoustic applications. The comparison of the classification efficiency based on features obtained using four different FCC, namely mel-FCC (MFCC), inverse mel-frequency cepstral coefficients (IMFCC), linear-frequency cepstral coefficients (LFCC), and gammatone-frequency cepstral coefficients (GTCC) is presented. An optimal frame length for an FCC calculation is also explored. Various gunshots from short guns and rifle guns of different calibers and multiple acoustic impulse events, similar to the gunshots, to represent false alarms are used. More than 600 acoustic events records have been acquired and used for training and validation of two designed classifiers, support vector machine, and neural network. Accuracy, recall and Matthew’s correlation coefficient measure the classification success rate. The results reveal the superiority of GFCC to other analyzed methods.
Dynamics of non-Newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing
Authors: Ragupathi E , Prakash D , Muthtamilselvan M , Al-Mdallal Qasem M 
Published: April 2024

Abstract
The advancement of non-Newtonian nanofluid innovation is a crucial area of research for physicists, mathematicians, manufacturers, and materials scientists. In engineering and industries, the fluid velocity caused by rotating device and nanofluid has a lot of applications such as refrigerators, chips, heat ex-changers, hybrid mechanical motors, food development, and so on. Due to the tremendous usage of the non-Newtonian nanofluid, the originality of the current study is to explore the influence of nanoparticle radii and inter-particle spacing effects on the flow characteristics of Casson methanol-based aluminium alloy (AA7072) nanofluid through a rotating disc with Joule heating and magnetic dipole. The present problem is modeled in the form of partial differential equations (PDEs), and these PDEs are converted into ordinary differential equations with the help of suitable similarity transformations. The analytical solution to the current modeled problem has been obtained by using the homotopy analysis method (HAM) and numerical solutions are obtained by employing Runge–Kutta–Fehlberg method along with shooting technique. The main purpose of the present research work is to analyze the behavior of the velocity and temperature of the nanofluid for small and large radius of the aluminium alloy (AA7072) nanoparticles and inter-particle spacing. The radial and tangential velocities are enhanced due to rising ferro-hydrodynamic interaction parameter and the skin friction force for radial and tangential directions are enhanced 10.51% and 2.16% when h = 0.5. Also, the heat transfer rate is reduced 18.71% and 16.70% when h = 0.5% and R

p
= 1.5. In fact, the present results are compared with the published results and they met good agreement.
Well-dispersed Pt/Nb2O5 on zeolitic imidazolate framework derived nitrogen-doped carbon for efficient oxygen reduction reaction
Authors: Huang Hongying , Deng Libo , Zhang Lei , Zhang Qianling , Ren Xiangzhong , Li Yongliang 
Published: April 2024

Abstract
In this work, an advanced hybrid material was constructed by incorporating niobium pentoxide (Nb2O5) nanocrystals with nitrogen-doped carbon (NC) derived from ZIF-8 dodecahedrons, serving as a support, referred to as Nb2O5/NC. Pt nanocrystals were dispersed onto Nb2O5/NC using a simple impregnation reduction method. The obtained Pt/Nb2O5/NC electrocatalyst showed high oxygen reduction reaction (ORR) activity due to three-phase mutual contacting structure with well-dispersed Pt and Nb2O5 NPs. In addition, the conductive NC benefits electron transfer, while the induced Nb2O5 can regulate the electronic structure of Pt element and anchor Pt nanocrystals, thereby enhancing the ORR activity and stability. The half-wave potential (E
1/2) for Pt/Nb2O5/NC is 0.886 V, which is higher than that of Pt/NC (E
1/2 = 0.826 V). The stability examinations demonstrated that Pt/Nb2O5/NC exhibited higher electrocatalytic durability than Pt/NC. Our work provides a new direction for synthesis and structural design of precious metal/oxides hybrid electrocatalysts.
BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis
Authors: Wu Huiqin , Peng Lihong , Du Dongyang , Xu Hui , Lin Guoyu , Zhou Zidong , Lu Lijun , Lv Wenbing 
Published: April 2024

Abstract

Objective. To go beyond the deficiencies of the three conventional multimodal fusion strategies (i.e. input-, feature- and output-level fusion), we propose a bidirectional attention-aware fluid pyramid feature integrated fusion network (BAF-Net) with cross-modal interactions for multimodal medical image diagnosis and prognosis. Approach. BAF-Net is composed of two identical branches to preserve the unimodal features and one bidirectional attention-aware distillation stream to progressively assimilate cross-modal complements and to learn supplementary features in both bottom-up and top-down processes. Fluid pyramid connections were adopted to integrate the hierarchical features at different levels of the network, and channel-wise attention modules were exploited to mitigate cross-modal cross-level incompatibility. Furthermore, depth-wise separable convolution was introduced to fuse the cross-modal cross-level features to alleviate the increase in parameters to a great extent. The generalization abilities of BAF-Net were evaluated in terms of two clinical tasks: (1) an in-house PET-CT dataset with 174 patients for differentiation between lung cancer and pulmonary tuberculosis. (2) A public multicenter PET-CT head and neck cancer dataset with 800 patients from nine centers for overall survival prediction. Main results. On the LC-PTB dataset, improved performance was found in BAF-Net (AUC = 0.7342) compared with input-level fusion model (AUC = 0.6825; p < 0.05), feature-level fusion model (AUC = 0.6968; p = 0.0547), output-level fusion model (AUC = 0.7011; p < 0.05). On the H&N cancer dataset, BAF-Net (C-index = 0.7241) outperformed the input-, feature-, and output-level fusion model, with 2.95%, 3.77%, and 1.52% increments of C-index (p = 0.3336, 0.0479 and 0.2911, respectively). The ablation experiments demonstrated the effectiveness of all the designed modules regarding all the evaluated metrics in both datasets. Significance. Extensive experiments on two datasets demonstrated better performance and robustness of BAF-Net than three conventional fusion strategies and PET or CT unimodal network in terms of diagnosis and prognosis.
Electrorheological and magnetorheological properties of liquid composites based on polypyrrole nanotubes/magnetite nanoparticles
Authors: Bica Ioan , Mircea Anitas Eugen , Sedlacik Michal , Munteanu Andrei , Munteanu Lenka , Marina Elisabeth Chirigiu Larisa 
Published: April 2024

Abstract
This research presents an in-depth exploration of the electrical and magnetic properties of a polypyrrole nanotubes/magnetite nanoparticles (PPyM) material embedded in a silicone oil matrix. A key finding of our study is the dual nature of the composite, i.e. it exhibits a behaviour akin to both electro- and magnetorheological suspensions. This unique duality is evident in its response to varying electric and magnetic field intensities. Our study focuses on examining the electrical properties of the composite, including its dielectric permittivity and dielectric loss factor. Additionally, we conduct an extensive analysis of its rheological behavior, with a particular emphasis on how its viscosity changes in response to electromagnetic stimuli. This property notably underscores the material’s dual-responsive nature. Employing a custom experimental design, we integrate the composite into a passive electrical circuit element subjected to alternating electric fields. This methodological approach allows us to precisely measure the material’s response in terms of resistance, capacitance, and charge under different field conditions. Our findings reveal substantial changes in the material’s electrical conductivity and rheological characteristics, which are significantly influenced by the intensity of the applied fields. These results enhance the understanding of electro-magnetorheological properties of PPyM-based magnetic composites, and also highlight their potential in applications involving smart materials. The distinct electrical, magnetic and rheological modulation capabilities demonstrated by this composite render it as promising candidate for advanced applications. These include sensory technology, actuation systems, and energy storage solutions.