bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health-Related Quality of Life and the Role of the Big Five Personality Traits in Postlingually Deaf Cochlear Implant Users
Authors: Kobosko Joanna , Śliwa Lech , Ganc Małgorzata , Jedrzejczak W. Wiktor , Porembska D. Beata , Skarzynski Henryk 
Published: December 2024

Purpose:
This study aimed to investigate the relationships between generic health-related quality of life (HRQoL), the Big Five personality traits, speech understanding, and sociodemographic factors in a group of postlingually deaf cochlear implant (CI) users.

Method:
The study group included 81 participants who met the inclusion criteria: profound sensorineural hearing loss, 18 years of age or more, and using at least one CI implanted after 18 years of age. Some 18% were bilateral CI users. The mean age of the participants was 60 ± 11 years. They completed the Assessment of Quality of Life (AQoL-8D) and the Short Form IPIP-BFM-20 (shortened version of the 50-item Big Five Markers Questionnaire from the International Personality Item Pool). The response rate was 57%.

Results:
The HRQoL was lower in the study group than in the general population. Moreover, all Big Five personality characteristics were significantly lower than the Polish norm. The personality traits of intellect/imagination, emotional stability, and extraversion contributed to higher overall HRQoL scores, particularly for most psychosocial AQoL-8D dimensions. Higher agreeableness predicted higher HRQoL in the Independent Living, Pain, Coping, and Relations dimensions, whereas higher extraversion predicted higher physical HRQoL in the Senses dimension. Better speech understanding in quiet and noisy environments correlated with better physical HRQoL. Additionally, male gender and higher education were linked to higher global HRQoL. Conversely, being female was associated with lower global psychosocial and physical HRQoL, particularly in Pain. Higher education also contributed to improved physical HRQoL.

Conclusions:
In general, CI users have lower physical and psychosocial HRQoL as well as in measures that depend on personality traits. In terms of physical HRQoL, speech understanding plays an important role. It might prove useful if CI candidates and users were given a Big Five personality evaluation and an HRQoL assessment based on which they might be offered counseling or psychological intervention.
Amplifying Sound Intensity of Key Words in Discourse Promotes Memory in Female College Students
Authors: Liu Zhenxu , He Yajie , Li Wenhao , Cui Sixing , Fu Ziying , Wang Xin 
Published: December 2024

Purpose:
The aim of this study was to determine whether amplification of key words in discourse helped to memorize the words.

Method:
We tested the effect of 135 participants' memory for key words in the discourse after intensity amplification (0, 5, 7, 9, and 11 dB), and we also tested physiological indicators to measure attention levels in another 30 participants. Adobe Audition was used to modulate the intensity of key words, whereas E-prime technology was used to present speech stimuli and test the accuracy of the memory of the participants.

Results:
The results showed that amplifying key word intensity by 9 dB led to a significant enhancement in memory, whereas there was no difference in self-reported naturalness between amplification of key word intensity in the 9 dB and nonamplified groups. Heart rate and skin conductance level of the subjects decreased with amplification of key word intensity in the 9-dB group, which indicated that this promoted the memory effect by enhancing attention.

Conclusions:
Our results demonstrate that amplifying the intensity of the key words by 9 dB is an effective strategy for promoting memory. This research provides a theoretical basis for optimizing the acoustic parameters of audio learning materials to achieve better teaching effects.

Supplemental Material:

https://doi.org/10.23641/asha.27902643
Empowering talkative power technology in wireless power transfer with machine learning
Authors: Mousavi Seyed Ali , GhahramanIzadi Zahra , Khooban Mohammad Hassan 
Published: December 2024

AbstractIn this article, a model is proposed for talkative power (TP) implemented wireless power transfer circuit for constant power load applications that concurrently transmit power and information through a shared channel. The innovative model considers critical factors such as load variations and limited receiver knowledge regarding transmitter component values, which are vital for the seamless operation of TP technology in charging devices with varying loads that are oblivious to the parameters of the transmitter. An efficient transmitter and an optimal receiver are introduced in the framework. The transmitter's design revolves around encoding data into the phase angle between the arm bridges, chosen to optimize energy efficiency. Notably, the model employs a buck‐boost converter whose duty cycle is dynamically adjusted by the controller to accommodate changes in information or transmission phases, ensuring smooth system operation. Maximum likelihood detection methods are rendered impractical at the receiver due to the model's assumptions. To address this challenge, a neural network is implemented as a supervised learning classifier to extract information from the output voltage ripple. The simulations utilize the Speedgoat Real‐Time Target Machine in conjunction with Simulink RealTime highlighting the effectiveness of the efficient transmitter and optimal receiver demonstrating the robustness of the model.
Supernova remnant candidates discovered by the SARAO MeerKAT Galactic Plane Survey
Authors: Anderson L. D. , Camilo F. , Faerber T. , Bietenholz M. , Bordiu C. , Bufano F. , Chibueze J. O. , Cotton W. D. , Ingallinera A. , Loru S. , Rigby A. , Riggi S. , Thompson M. A. , Trigilio C. , Umana G. , Williams G. M. 
Published: December 2024

Context. Sensitive radio continuum data could bring the number of known supernova remnants (SNRs) in the Galaxy more in line with what is expected. Due to confusion in the Galactic plane, however, faint SNRs can be challenging to distinguish from brighter H II regions and filamentary radio emission.
Aims. We exploited new 1.3 GHz SARAO MeerKAT Galactic Plane Survey (SMGPS) radio continuum data, which cover 251° ≤ ℓ ≤ 358° and 2° ≤ ℓ ≤ 61° at | b | ≤ 1.5°, to search for SNR candidates in the Milky Way disk.
Methods. We also used mid-infrared data from the Spitzer GLIMPSE, Spitzer MIPSGAL, and WISE surveys to help identify SNR candidates. These candidates are sources of extended radio continuum emission that lack mid-infrared counterparts, are not known as H II regions in the WISE Catalog of Galactic H II Regions, and have not been previously identified as SNRs.
Results. We locate 237 new Galactic SNR candidates in the SMGPS data. We also identify and confirm the expected radio morphology for 201 objects classified in the literature as SNRs and 130 previously identified SNR candidates. The known and candidate SNRs have similar spatial distributions and angular sizes.
Conclusions. The SMGPS data allowed us to identify a large population of SNR candidates that can be confirmed as true SNRs using radio polarization measurements or by deriving radio spectral indices. If the 237 candidates are confirmed as true SNRs, it would approximately double the number of known Galactic SNRs in the survey area, alleviating much of the discrepancy between the known and expected populations.
Efficacy of Low-Density Lipoprotein Cholesterol Apheresis in the
Treatment of Familial Hypercholesterolemia: Single Center
Experience
Authors: Hacisahinogullari Hulya , Bilik Oyman Gamze , Mutlu Ummu , Dadin Senem , Yalin Gulsah Y. , Soyluk Ozlem , Gul Nurdan , Kalayoglu Besisik Sevgi , Satman Ilhan , Karsidag Kubilay , Kubat Uzum Ayse 
Published: December 2024

Abstract
Purpose  Familial hypercholesterolemia (FH) is a genetic disorder
associated with extremely high levels of low-density lipoprotein cholesterol
(LDL-C) and increased incidence of cardiovascular disease. We aimed to evaluate
the efficacy and long-term outcomes of lipoprotein apheresis (LA) in the
treatment of FH.
Methods  Cardiovascular events that occurred before and after LA treatment
were evaluated by reviewing previous medical records of patients with FH.
Results  Thirteen patients (female/male: 8/5) were included in this study.
The mean Dutch score was 20±4. All patients were treated with a combination of
statin and ezetimibe. Before the onset of LA, 8 patients had a history of
coronary artery disease, and the median age at onset of cardiovascular disease
(CVD) in these patients was 24 years. At the initiation of LA, the median age
was 22 years and the mean LDL-C level was 410±130 mg/dL. The mean duration of LA
treatment was 13.9±6.9 years. The mean LDL-C levels before and after the latest
three LA treatments were 267±63.4 and 71.5±23.4 mg/dL, respectively. The mean
reduction in LDL-C levels after LA was 73±8.2%. De novo cardiovascular events
occurred in 10 patients during LA treatment; six of these patients had a known
history of CVD before LA. Eight of these patients underwent invasive procedures
for therapeutic purposes and the total number of procedures was 12.
Conclusion  LA is an effective method of reducing LDL-C levels and an
additional treatment option that may slow disease progression in patients with
FH who are at high risk of cardiovascular events.
Effect of melatonin treatment of pregnant Sarda ewes on lactation and lamb development
Authors: Luridiana S. , Ouadday M. , Mura M. C. , Ben Smida B. , Cosso G. , Carcangiu V. 
Published: December 2024

Context Melatonin administration during pregnancy can influence fetal development and lactation. Aims This study aimed to verify whether melatonin treatment of pregnant Sarda ewes in spring improved lamb weight at birth, 7 and 21 days of age, time to first colostrum intake, birth behavior and survival. Additionally, we examined melatonin’s effect on milk yield and composition. Methods On 18 April, 200 ewes were assigned to two groups of 100 each, based on lambing date, body condition score, parity, age and milk yield. One group received melatonin implants on 20 April, 4 July and 17 September; the other served as control. Rams (12 per group) were introduced on 25 May and removed after 40 days. Lamb weight was recorded at birth, 7 and 21 days, while milk yield and composition were assessed bi-weekly from day 30 of lactation. Key results Lambs born to melatonin-treated ewes were heavier at birth (3.54 vs 2.89 kg), and at 7 (5.21 vs 4.40 kg) and 21 days of age (11.3 vs 10.1 kg) and reached colostrum intake sooner than lambs from untreated ewes (55.5 ± 5.3 vs 69.4 ± 5.6 min). Milk yield was higher in melatonin-treated ewes, with somatic cell counts decreasing in treated animals and increasing in controls over the five samplings. Milk fat was higher in treated ewes than controls during early lactation, although protein and lactose levels remained similar between groups. Conclusion Melatonin treatment throughout pregnancy improved lamb growth and milk production and quality, suggesting a potential management advantage for sheep.
Modeling fine-grained sociolinguistic variation
Authors: Miletić Filip , Przewozny-Desriaux Anne , Tanguy Ludovic 
Published: December 2024

Abstract
This chapter examines the use of recent data sources and
computational methods to study fine-grained sociolinguistic phenomena. We
deploy a custom-built corpus of tweets (Miletić et al. 2020) and neural word embeddings to investigate
the use of contact-induced semantic shifts in Quebec English. Drawing on an
analysis of 40 lexical items, we show that our approach is beneficial in
facilitating manual inspection of vast amounts of data and establishing
fine-grained patterns of language variation. While it is affected by a range
of noise-related issues, which we describe in detail, coarse-grained
annotation provides an efficient way of circumventing them. We use the
results filtered in this way to conduct a quantitative analysis of
sociolinguistic constraints on contact-induced semantic shifts, further
confirming the relevance of our approach.
DDSNet: a dual-domain supervised network for remote sensing image dehazing
Authors: Chen Xinyi , Liu Zhenqi , Huo Tianxiang , Duan Shukai , Wang Lidan 
Published: December 2024

Abstract
Haze shrouds remote sensing images with a thick veil, severely affecting the extraction of valuable information and posing many obstacles to subsequent high-level vision tasks. However, current methods frequently concentrate solely on spatial information while neglecting frequency domain information. To tackle the above problem, we propose a novel model in this study that combines information from the spatial and frequency domains. Unlike most existing methods, We also investigate the relationship between phase and amplitude spectrum components in the frequency domain and haze degradation and use this connection to design a network structure. We have meticulously designed a central Spatial-frequency block containing a Global frequency supervised block (GFS), a Local spatial supervised block (LSS), and a Spatial frequency fusion block (SFF) and utilized parameter-free normalization representation to improve the model's capacity to manage instances with varying attributes. To evaluate the effectiveness of our proposed method, we conduct extensive experiments on two remote sensing image dehazing datasets: SateHaze1k and RICE-1. The results indicate that our network performs exceptionally well, surpassing previous techniques in both quantitative assessments and visual quality. Our DDSNet demonstrates remarkable effectiveness through quantitative analysis, achieving the highest performance across three subsets of the SateHaze1k dataset, with measured values of 24.0053 dB PSNR and 0.9661 SSIM, 26.6054 dB PSNR and 0.9696 SSIM, and 21.3015 dB PSNR and 0.9208 SSIM.
Hybrid quantum neural network based on weight remapping and its applications
Authors: Dong Yumin , Wu Shuang 
Published: December 2024

Abstract
In order to explore the possibility of cross-fertilization between quantum computing and neural networks, and to analyse the effects of multiple weight remapping functions on the model performance, this article proposes two hybrid models based on weight remapping: the hybrid quantum neural network (HQNN-WR) and the hybrid quantum convolutional neural network (HQCNN-WR). The HQNN-WR model uses a two-layer fully connected network to process the input features, performs feature transformation by applying multiple weight remapping functions, and subsequently passes the processed features to the quantum neural network for computation, and finally outputs the classification results. The experimental results show that the model significantly improves the classification accuracy on Iris, Wine and Breast datasets and the convergence speed is faster. The HQCNN-WR model integrates convolutional layers, pooling layers, and fully connected layers, and prevents over-fitting through a dropout layer, and exhibits excellent performance in binary classification tasks on MNIST and KMNIST datasets. The model effectively mitigates the over-fitting problem on small sample datasets and enhances the robustness and generalization ability of the model while improving the digit recognition accuracy. By comparing different models, this article also demonstrates their significant effects on the performance of hybrid quantum neural networks, providing a new theoretical basis and experimental support for the optimization and application of quantum machine learning methods.
Probing the shape of the primordial curvature power spectrum and the energy scale of reheating with pulsar timing arrays
Authors: Fan Lele , Zheng Jie , Zhang Fengge , You Zhi-Qiang 
Published: December 2024

Abstract
Recent observations by pulsar timing array collaborations have detected a stochastic common-spectrum signal, which may originate from scalar-induced gravitational waves (SIGWs) generated by primordial curvature perturbations during inflation. Using the NANOGrav 15-year data set, we explore this hypothesis by constraining the primordial curvature power spectrum and reheating energy scale. We model the primordial power spectrum with a lognormal form and consider reheating with equation of state parameter $w=1/6$. Our Bayesian analysis reveals a narrow peak in the primordial power spectrum (the width of the spectrum $\Delta &#60; 0.05$ at 95% confidence level) and constrains the reheating temperature to be $0.03 {\rm GeV} \lesssim T_{\rm rh} \lesssim 7.2 {\rm GeV} $. The best-fit SIGW spectrum shows a characteristic turning point near $f \sim 10^{-8.1}\,{\rm Hz}$, marking the transition from reheating to radiation domination, providing a unique probe of early Universe properties.
Transsynaptic modulation of cerebellar nuclear cells: theta AC-burst stimulation
Authors: Kang Qi , Talesh Amir Roshani , Lang Eric J , Sahin Mesut 
Published: December 2024

Abstract

Objectives. Transcranial alternating current stimulation (tACS) and its variants are being tested in clinical trials for treatment of neurological disorders, and cerebellar tACS (ctACS) in particular has garnered much interest because of the involvement of the cerebellum in these disorders. The main objective of this study was to investigate the frequency tuning curves for the entrainment of the Purkinje cells (PCs) and the cerebellar nuclear (CN) cells by their axonal projections. In addition, we aimed to investigate the temporal and steady-state characteristics of the PC-CN transsynaptic modulation under clinically relevant stimulation waveforms. Approach. Experiments were conducted in anesthetized rats with the electrical stimulations applied to the cerebellar cortex while the spiking activity of PC and CN cells were recorded extracellularly. The PC-CN modulation was tested in a wide range of AC frequencies (1–1000 Hz). Furthermore, high-frequency AC stimulation (40–400 Hz) repeated at 4 Hz, that we termed theta AC-Burst Stimulation, was tested for its transient and steady-state responses. Main results. The CN cell firing patterns suggest that the population of projecting PCs that is entrained by the surface stimulation consists of the cells that are entrained in 180° opposite phases to each other. The CN cell spiking activity in general follows the entrainment pattern of the projecting PCs in the transient response. The CN entrainment during the steady-state turns into suppression at high frequencies of the stimulation. The PC responses could be explained with a simple statistical model that suggested that low-frequency (as well as DC) and high-frequency AC modulation may be operating through different neural mechanisms. Significance. High-frequency AC stimulation with a low-frequency envelope can be leveraged to induce CN modulation at theta frequencies. These results may explain some of the clinical findings and provide insight for future clinical trials of ctACS.
Green synthesis of TiO2 (anastase) nanoparticles using aloe vera extract as a reducing agent for photocatalytic material
Authors: Astiawanti Y , Faaizatunnisa N , Munasir M 
Published: December 2024

Abstract
Titanium dioxide nanoparticles (TiO2 NP) were successfully synthesized using an aloe vera extract-reducing agent with the green synthesis method. The anatase phase of TiO2 NP tetragonal structure with an average crystal size of 59 nm was detected from the XRD pattern. From the results of UV-visible spectroscopy, the optically active region of TiO2 NP at a wavelength of 265 nm with a band gap energy of 2.76 eV. The formation of Ti-O-Ti and Ti-O bonds confirmed the formation of TiO2 NPs in the synthesized material. SEM morphology of TiO2 NP confirmed that the nanoparticles were irregularly spherical. Photodegradation of methylene blue dye was further studied, and a maximum degradation efficiency of 90% was achieved during 10 minutes of irradiation. Photodegradation studies showed that anatase TiO2 NP showed faster and higher degradation efficiency than chemically synthesized TiO2.
Analysis of the distribution of groundwater pollution using the geoelectric method in the Donomulyo Area, Wijimulyo, Nanggulan District, Kulon Progo
Authors: Fatimah  , Rizqi A F 
Published: December 2024

Abstract
Polluted water has a resistivity value that is different from natural water. The region has aquifer potential in the Kulon Progo area, namely Donomulyo, and Wijimulyo, but many use PDAM water. For this reason, this study uses the Schlumberger configuration geoelectric method to see the resistivity vertically. There are six research points with different lithology and geomorphology conditions. The result is a resistivity value processed with Excel and Progress and then correlated between points. From the research, it was found that there are rocks that are suspected to be aquifers but have a high resistivity compared to aquifers with water suitable for consumption in the area. The resistivity value of polluted water here is 11 Ohm meters, in the slightly contaminated category. Areas with light contamination are to the north of Donomulyo and Wijimulyo.
Ti-hydroxyapatite (HAp) composite study to enhance self-antibacterial and biocompatibility
Authors: Fauziyah N A , Tola P S , Permatasari A W , Wardhani P C , Hidayah E N , Jawaid M , Pratapa S 
Published: December 2024

Abstract
This study aims to evaluate titanium’s impact as a coating and doping agent for hydroxyapatite (HAp) material. Ti is typically added to HAp in the medical industry to enhance its biocompatibility and antibacterial properties. HAp was prepared from chicken egg shells and composited with Ti using the solid mixing method. The composite produced with the addition of Ti was proven to increase its antibacterial properties through element characterization. The addition of Ti is able to initiate ion release from HAp and its interaction with the biological environment. The release of titanium ions can also have a direct antibacterial effect. However, this is usually more limited compared to the photocatalytic effect of TiO2.
On the 2022 Hunga Tonga-Hunga Ha’apai meteo-tsunami: Accelerated propagation due to atmospheric effects
Authors: Realita A , Fahmi M N , Prastowo T , Tika N M A S M , Madlazim  
Published: December 2024

Abstract
On 15 January 2022, an explosive eruption of Hunga Tonga-Hunga Ha’apai (HTHH) submarine volcano tremendously occurred in the southern Pacific. This released a huge amount of energy into global atmosphere, generated propagating atmospheric disturbances at large scales and in turn induced a fast-travelling tsunami wave with a phase speed higher than a typical value for a conventional tsunami of 800 kmh−1. In response to this extreme occurrence, we examined tsunami propagation from the 2022 HTHH case, particularly in the far-field observations where atmospheric effects mostly influence on the propagation. Therefore, this study aims to determine the speed of a leading meteo-tsunami propagating on the sea surface detected by field instrument operated by National Oceanic and Atmospheric Administration. The methods involved tsunami datasets extraction and examination, and the corresponding analysis. The results showed that tsunamis travel with different rates in near- and far-field regimes. For 100 min or approximately 1300 km away from the epicentre, the wave propagates at a typical speed of 800 kmh−1 or about 220 ms−1. In the far-field, the wave is accelerated up to a value similar to the Lamb wave speed of 1110 ± 10 kmh−1 that is equal to 308 ± 3 ms−1. The current research finding implies for a better prediction of tsunami travel time and hence arrival time for minimising risk at the cost of early evacuation whenever a meteo-tsunami is generated owing to an extreme eruptive event.