bluuebunny/crossref_metadata_2025_split huggingface dataset:
Post-intensive care syndrome and health-related quality of life in long-term survivors of cardiac arrest: a prospective cohort study
Authors: Amacher Simon A. , Sahmer Christian , Becker Christoph , Gross Sebastian , Arpagaus Armon , Urben Tabita , Tisljar Kai , Emsden Christian , Sutter Raoul , Marsch Stephan , Hunziker Sabina 
Published: May 2024

AbstractPatients discharged from intensive care are at risk for post-intensive care syndrome (PICS), which consists of physical, psychological, and/or neurological impairments. This study aimed to analyze PICS at 24 months follow-up, to identify potential risk factors for PICS, and to assess health-related quality of life in a long-term cohort of adult cardiac arrest survivors. This prospective cohort study included adult cardiac arrest survivors admitted to the intensive care unit of a Swiss tertiary academic medical center. The primary endpoint was the prevalence of PICS at 24 months follow-up, defined as impairments in physical (measured through the European Quality of Life 5-Dimensions-3-Levels instrument [EQ-5D-3L]), neurological (defined as Cerebral Performance Category Score > 2 or Modified Rankin Score > 3), and psychological (based on the Hospital Anxiety and Depression Scale and the Impact of Event Scale-Revised) domains. Among 107 cardiac arrest survivors that completed the 2-year follow-up, 46 patients (43.0%) had symptoms of PICS, with 41 patients (38.7%) experiencing symptoms in the physical domain, 16 patients (15.4%) in the psychological domain, and 3 patients (2.8%) in the neurological domain. Key predictors for PICS in multivariate analyses were female sex (adjusted odds ratio [aOR] 3.17, 95% CI 1.08 to 9.3), duration of no-flow interval during cardiac arrest (minutes) (aOR 1.17, 95% CI 1.02 to 1.33), post-discharge job-loss (aOR 31.25, 95% CI 3.63 to 268.83), need for ongoing psychological support (aOR 3.64, 95% CI 1.29 to 10.29) or psychopharmacologic treatment (aOR 9.49, 95% CI 1.9 to 47.3), and EQ-visual analogue scale (points) (aOR 0.88, 95% CI 0.84 to 0.93). More than one-third of cardiac arrest survivors experience symptoms of PICS 2 years after resuscitation, with the highest impairment observed in the physical and psychological domains. However, long-term survivors of cardiac arrest report intact health-related quality of life when compared to the general population. Future research should focus on appropriate prevention, screening, and treatment strategies for PICS in cardiac arrest patients.
Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy
Authors: Ghosh Biswajoy , Chatterjee Jyotirmoy , Paul Ranjan Rashmi , Acuña Sebastian , Lahiri Pooja , Pal Mousumi , Mitra Pabitra , Agarwal Krishna 
Published: May 2024

AbstractExtracellular matrix diseases like fibrosis are elusive to diagnose early on, to avoid complete loss of organ function or even cancer progression, making early diagnosis crucial. Imaging the matrix densities of proteins like collagen in fixed tissue sections with suitable stains and labels is a standard for diagnosis and staging. However, fine changes in matrix density are difficult to realize by conventional histological staining and microscopy as the matrix fibrils are finer than the resolving capacity of these microscopes. The dyes further blur the outline of the matrix and add a background that bottlenecks high-precision early diagnosis of matrix diseases. Here we demonstrate the multiple signal classification method-MUSICAL-otherwise a computational super-resolution microscopy technique to precisely estimate matrix density in fixed tissue sections using fibril autofluorescence with image stacks acquired on a conventional epifluorescence microscope. We validated the diagnostic and staging performance of the method in extracted collagen fibrils, mouse skin during repair, and pre-cancers in human oral mucosa. The method enables early high-precision label-free diagnosis of matrix-associated fibrotic diseases without needing additional infrastructure or rigorous clinical training.
Effects of auditory noise intensity and color on the dynamics of upright stance
Authors: Carey Sam , Ross Jessica M. , Abney Drew , Balasubramaniam Ramesh 
Published: May 2024

AbstractPrevious work assessing the effect of additive noise on the postural control system has found a positive effect of additive white noise on postural dynamics. This study covers two separate experiments that were run sequentially to better understand how the structure of the additive noise signal affects postural dynamics, while also furthering our knowledge of how the intensity of auditory stimulation of noise may elicit this phenomenon. Across the two experiments, we introduced three auditory noise stimulations of varying structure (white, pink, and brown noise). Experiment 1 presented the stimuli at 35 dB while Experiment 2 was presented at 75 dB. Our findings demonstrate a decrease in variability of the postural control system regardless of the structure of the noise signal presented, but only for high intensity auditory stimulation.
Detection of surface enhanced Raman scattering active hotspot using near field scanning optical microscopy
Authors: Hossain Mohammad Kamal 
Published: May 2024

AbstractHotspots are high-intensity electromagnetic zones that form, for example, at the interstitials of plasmonic nanoaggregates, resulting in a considerable rise in the enhancement factor. However, it is inevitable to achieve specific nanometric geometry as well as a suitable technique to capture the details of hotspots. We report near-field surface-enhanced Raman scattering (SERS) spectroscopy of a well-defined gold nanoaggregate of a few nanoparticles adsorbed with a small number of target analytes. A spectrally and spatially resolved SERS measurement setup using an aperture near-field scanning optical microscope (a-NSOM) facilitated the direct observation of localized electromagnetic (EM) fields at the interstitials through SERS. Correlated optical image and corresponding nanometric geometry were captured through the home-built a-NSOM setup. Near-field SERS spectra were recorded at different sites of interest. It was evident that the interstitial positioned at the center of the tetramer provided the most intense Raman scattering, implying the possibility of a SERS-active hotspot therein. SERS bands of the spectrum of the Raman-active dye Rhodamine 6G recorded at the same hotspot coincided well with those reported so far. It was noteworthy that most of the SERS bands in such scenery got enhanced. Such direct observation with high spatial resolution is indispensable to understanding the origin of localized EM fields at “hotspots” and the EM enhancement factor in the SERS process. A finite-difference time-domain (FDTD) analysis was carried out to validate the results.
Machine learning insights into predicting biogas separation in metal-organic frameworks
Authors: Cooley Isabel , Boobier Samuel , Hirst Jonathan D. , Besley Elena 
Published: May 2024

AbstractBreakthroughs in efficient use of biogas fuel depend on successful separation of carbon dioxide/methane streams and identification of appropriate separation materials. In this work, machine learning models are trained to predict biogas separation properties of metal-organic frameworks (MOFs). Training data are obtained using grand canonical Monte Carlo simulations of experimental MOFs which have been carefully curated to ensure data quality and structural viability. The models show excellent performance in predicting gas uptake and classifying MOFs according to the trade-off between gas uptake and selectivity, with R2 values consistently above 0.9 for the validation set. We make prospective predictions on an independent external set of hypothetical MOFs, and examine these predictions in comparison to the results of grand canonical Monte Carlo calculations. The best-performing trained models correctly filter out over 90% of low-performing unseen MOFs, illustrating their applicability to other MOF datasets.
Polarization-independent Spatial Kramers-Kronig medium for omnidirectional reflectionless absorption of unpolarized light
Authors: Li Quanping , Luo Yu , Zhang Jingjing , Gao Yuan , Tang Jingxin , Hu Xiaojun , Ye Dexin 
Published: May 2024

AbstractSpatial Kramers-Kronig (KK) media offer a possible route to obtain omnidirectional light absorption within a thin layer of material. However, the experimental realizations are typically limited to a specific polarization, i.e., either transverse electric (TE) or transverse magnetic (TM), hence lacking specific implementations for the absorption of unpolarized light. In this work, we propose theoretically and demonstrate experimentally a polarization-independent KK medium which performs omnidirectional reflectionless absorption for both TE and TM polarized waves. Our design makes use of a special matryoshka metamaterial, whose electric and magnetic responses can be independently controlled with minimized crosstalk. To extend the absorption spectrum, the inner truncation boundary of the KK medium is set at a position far away from the spatial Lorentz resonance, where the constitutive parameter of the metamaterial remains unitary over a broad frequency band. A mini anechoic chamber, 6.83-wavelength in diameter, is constructed using the designed annulus-shaped KK medium. The measured fields for both TE and TM polarizations confirm the polarization-independent omnidirectional and nearly reflectionless absorption in a broadband frequency range.
Augmenting large language models with chemistry tools
Authors: M. Bran Andres , Cox Sam , Schilter Oliver , Baldassari Carlo , White Andrew D. , Schwaller Philippe 
Published: May 2024

AbstractLarge language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ChemCrow, an LLM chemistry agent designed to accomplish tasks across organic synthesis, drug discovery and materials design. By integrating 18 expert-designed tools and using GPT-4 as the LLM, ChemCrow augments the LLM performance in chemistry, and new capabilities emerge. Our agent autonomously planned and executed the syntheses of an insect repellent and three organocatalysts and guided the discovery of a novel chromophore. Our evaluation, including both LLM and expert assessments, demonstrates ChemCrow’s effectiveness in automating a diverse set of chemical tasks. Our work not only aids expert chemists and lowers barriers for non-experts but also fosters scientific advancement by bridging the gap between experimental and computational chemistry.
Living sustainably in a Danish eco-community: how social and physical infrastructures affect carbon footprints
Authors: Gausset Quentin , Jensen Pia Duus 
Published: May 2024

AbstractThe Self-Sustaining Village is a Danish eco-community whose mission is to develop communal sustainable living. This paper evaluates its sustainable living through a questionnaire survey of residents that measures their carbon footprint based on self-reported consumption. The survey also measures their life satisfaction. Results show that residents have a carbon footprint that is 60% below the national average and have a higher life satisfaction than the national average. Results from long-term participant observation explain the lower carbon footprints relating to energy, transport, food and other material items by the existence of particular physical and social infrastructures that shape life in the Self-Sustaining Village. Residents live more sustainably because their collective decisions make sustainable choices the standard or default options. They do so without having to make conscious choices individually and without sacrificing their private comfort for the environment and the climate. These villagers live up to their sustainable ideals and enjoy a richer social life that provides a higher life satisfaction than if they lived separately as independent households. The Self-Sustaining Village provides us with a model in which people live happier with less.
Inhibitory effect of extracts from edible parts of nuts on α-amylase activity: a systematic review
Authors: Farazi Mena , Houghton Michael J. , Cardoso Barbara R. , Murray Margaret , Williamson Gary 
Published: May 2024

The inhibitory effect of extracts from edible parts of nuts on α-amylase activity in vitro, including inhibition of human α-amylase by polyphenol-rich chestnut and almond skin extracts.
Counseling Protocol for a Transitional Intervention for Debilitating Hyperacusis
Authors: Cherri Dana , Formby Craig , Secor Carrie A. , Eddins David A. 
Published: May 2024

Introduction:
This clinical focus article describes a structured counseling protocol for use with protected sound management and therapeutic sound in a transitional intervention for debilitating hyperacusis. The counseling protocol and its associated visual aids are crafted as a teaching tool to educate affected individuals about hyperacusis and encourage their acceptance of a transitional intervention.

Description of Counseling Components:
The counseling protocol includes five components. First, the patient's audiometric results are reviewed with the patient, and the transitional intervention is introduced. An overview of peripheral auditory structures and central neural pathways and the concept of central gain are covered in the second and third components. Maladaptive hyper-gain processes within the auditory neural pathways, which underlie the hyperacusis condition, and associated connections with nonauditory processes responsible for negative reactions to hyperacusis are covered in the fourth component. Detrimental effects from misused hearing protection devices (HPDs) and the necessity to wean the patient from overuse of HPDs are also discussed. In the fifth component, the importance of therapeutic sound is introduced as a tool to downregulate hyper-gain activity within the auditory pathways; its implementation in uncontrolled and controlled sound environments is described. It is explained that, over the course of the transitional intervention, recalibration of the hyper-gain processes will be ongoing, leading to restoration of normal homeostasis within the auditory pathways. In turn, associated activation of reactive nonauditory processes, which contribute to hyperacusis-related distress, will be reduced or eliminated. As recalibration progresses, there will be less need for protected sound management and sound therapy. Sound tolerance will improve, hyperacusis will subside, and daily activities in typical healthy sound environments will again become routine.

Results and Conclusion:
The combination of counseling with protected sound management and therapeutic sound is highlighted in companion reports, including a summary of the outcomes of a successful trial of the transitional intervention.
Device and Fitting Protocol for a Transitional Intervention for Debilitating Hyperacusis
Authors: Eddins David A. , Armstrong Steve , Juneau Roger , Hutchison Peter , Cherri Dana , Secor Carrie A. , Formby Craig 
Published: May 2024

Purpose:
This report describes a hearing device and corresponding fitting protocol designed for use in a transitional intervention for debilitating loudness-based hyperacusis.

Method:
The intervention goal is to transition patients with hyperacusis from their typical counterproductive sound avoidance behaviors (i.e., sound attenuation and limited exposure to healthy low-level sounds) into beneficial sound therapy treatment that can expand their dynamic range to the point where they can tolerate everyday sounds and experience an improved quality of life. This requires a combination of counseling and sound therapy, the latter of which is provided via the hearing device technology, signal processing, and precision fitting approach described in this report. The device combines a miniature behind-the-ear sound processor and a custom earpiece designed to maximize the attenuation of external sounds. Output-limiting loudness suppression is used to restrict exposure to offending high-level sounds while unity gain amplification maximizes exposure to healthy and tolerable lower level sounds. The fitting process includes measurement of the real-ear unaided response, the real-ear measurement (REM) system noise floor, the real-ear occluded response, real-ear insertion gain, and the output limit. With these measurements, the device can achieve the prescribed unity gain needed to provide transparent access to comfortable sound levels. It also supports individualized configuration of the therapeutic noise from an on-board sound generator and adaptive output limiting based on treatment-induced increases in dynamic range.

Results and Conclusion:
The utility of this device and fitting protocol, in combination with structured counseling, is highlighted in the outcomes of a successful 6-month trial of the transitional intervention described in a companion report in this issue.
Learning to Implement Dialogic Reading Through Video-Based Online Training: A Preliminary Study
Authors: Fleury Veronica P. , Dennis Lindsay , Williams Alice N. 
Published: May 2024

Purpose:
Dialogic reading (DR) is an evidence-based method for reading with young children that is associated with improvements in children's oral language skills. There is, however, a lack of consensus on (a) how to train educators to deliver the intervention and (b) methods for assessing implementation fidelity. We designed this study to provide preliminary data about the viability of online video modules as an initial training option within a future tiered training model.

Method:

We employed a within-subject repeated-measures group design to evaluate educators' (
N
= 20) implementation of DR after viewing training videos. Educators filmed themselves reading three storybooks with a child “as they would typically” to establish pretest reading behaviors. After being given access to a series of DR training videos, the educators recorded themselves reading three storybooks with the child using DR strategies as a posttest measure.

Results:
Educators improved their use of individual strategies included in the DR instructional sequence at posttest; however, most participants did not consistently follow the entire instructional sequence as designed. Only one educator delivered the complete DR instructional sequence in > 80% of opportunities at posttest.

Conclusion:
Modifications to video training modules and additional coaching support may be warranted for many educators to achieve the level of implementation fidelity needed to improve the child's oral language skills from the intervention.

Supplemental Material:

https://doi.org/10.23641/asha.25749387
Intelligent control of the power generation system using DSPACE
Authors: Hamid Chojaa , Aziz Derouich , Zamzoum Othmane , El Idrissi Abderrahman , Zawbaa Hossam M. , Zeinoddini‐Meymand Hamed , Kamel Salah 
Published: May 2024

AbstractWind power systems (WPs) are complex non‐linear systems with varying parameters affected by environmental changes, including wind speed fluctuations. Extracting maximum power from WPs poses a significant challenge due to these factors. Direct power control (DPC) is a highly effective technique known for its simplicity and ease of implementation. However, it suffers from power ripples caused by the use of hysteresis comparators and switching tables that operate at variable frequencies. To address this issue, this paper presents the robust neural controller (NC) based on DPC, which replaces the switching tables. The Double‐Fed Induction Generator (DFIG) is the chosen generator for the studied WP system due to its advantageous features. The NC‐DPC effectively regulates the exchange of active and reactive powers between the DFIG and the system, maximizing power extraction from the WP system while reducing Total Harmonic Distortion and enhancing overall system quality. The effectiveness of the NC‐DPC is evaluated through MATLAB simulations and further supported by experimental data obtained using the Real‐Time Interface of the dSPACE‐DS1104 Controller card.
Optimized coil and current flow designs for wireless charging containers with improved even magnetic flux density distribution
Authors: Liang Rui , Wang Kaiyuan , Sun Zhen , Zeng Junming , Liu Siyang , Wu Huihuan , Yang Yun 
Published: May 2024

AbstractThis paper introduces three different shapes of wireless charging containers (i.e. quadrangular prism, octagonal prism, and hexagonal prism) and presents optimal current flow designs for the coils to enhance the uniformity of magnetic flux distribution inside the containers. Additionally, the concept of folded coil design is introduced to further improve the even distribution of magnetic flux density within the containers. The performance of these designs is evaluated through simulations and practical experiments.
Physical insight into turn‐on transient of silicon carbide gate turn‐off thyristor
Authors: Liu Hangzhi , Liang Shiwei , Zhou Yuming , Wang Jun 
Published: May 2024

AbstractSilicon Carbide (SiC) Gate Turn‐off (GTO) thyristor is regarded as a promising option for pulsed power applications; however, the formation of high di/dt has been constrained by the slow current rise transient phase and the turn‐on current heterogeneity over the chip device. In this paper, a practical integrated multi‐cell simulation is performed to physically characterize the turn‐on transient of SiC GTO thyristor. Through examining electrical coupling between adjacent cells caused by both parasitics of electrode metallization and carrier travelling via SiC, the current distributions are observed, and the carrier transport dynamics are analyzed in detail. Furthermore, physical mechanisms dominating the current heterogeneity among multi‐cells are discovered in depth. It is revealed that the current heterogeneity during the turn‐on transient is primarily resulted from the Gate signal delay caused by the Gate Runner metallization, and the lateral interaction from adjacent semiconductor regions adds to this inhomogeneity; however, this situation can be improved once the electrical distance between each Anode contact and the Anode electrode gets lowered. Design method for turn‐on performance improvement is also proposed accordingly. Besides, based on the analysis conducted on the multi‐cell simulation results, the possible reason of the extremely slow current rise transient phase is speculated and experimentally verified. The improvement in the comprehension of SiC GTO's turn‐on transient, which cannot be obtained from the traditional investigation from the viewpoint of one elementary cell, will provide guiding principles helping in directing future efforts to advance the improvement of device design technology.