bluuebunny/crossref_metadata_2025_split huggingface dataset:
YKL-40 serum levels are predicted by inflammatory state, age and diagnosis of idiopathic inflammatory myopathies
Authors: Vázquez-Del Mercado Mónica , Pérez-Vázquez Felipe , Márquez-Aguirre Ana L. , Martínez-García Erika-Aurora , Chavarria-Avila Efrain , Ramos-Becerra Carlos G. , Aguilar-Vázquez Andrea , Godínez-Rubí Marisol , Martín-Márquez Beatriz-Teresita , Gómez-Limón Livier , Márquez-De-La-Paz Guillermo , Rubio-Arellano Edy-David , Pizano-Martinez Oscar 
Published: November 2023

AbstractYKL-40 increase according to the aging process, and its functions have been associated with tissue remodeling and systemic inflammation. In Rheumatoid Arthritis (RA) it has been proposed as a possible biomarker of activity and severity, however; in the field of idiopathic inflammatory myopathies (IIM) the role of YKL-40 in IIM is not clear. Thus, we aimed to evaluate if there is an association between the serum levels and muscle tissue expression of YKL-40 with age, IIM phenotype, muscle strength and myositis disease activity. The main finding was that age is the most important variable that affects the YKL-40 serum levels. In muscle biopsy, we observed that YKL-40 is mainly expressed in infiltrating lymphoid cells than in muscle tissue. Using ANCOVA according to the b-coefficients, YKL-40 serum levels are predicted by inflammatory state, age, and IIM diagnosis.
Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer
Authors: Lee Tsair-Fwu , Lee Shen-Hao , Tseng Chin-Dar , Lin Chih-Hsueh , Chiu Chi-Min , Lin Guang-Zhi , Yang Jack , Chang Liyun , Chiu Yu-Hao , Su Chun-Ting , Yeh Shyh-An 
Published: November 2023

AbstractMachine learning algorithms were used to analyze the odds and predictors of complications of thyroid damage after radiation therapy in patients with head and neck cancer. This study used decision tree (DT), random forest (RF), and support vector machine (SVM) algorithms to evaluate predictors for the data of 137 head and neck cancer patients. Candidate factors included gender, age, thyroid volume, minimum dose, average dose, maximum dose, number of treatments, and relative volume of the organ receiving X dose (X: 10, 20, 30, 40, 50, 60 Gy). The algorithm was optimized according to these factors and tenfold cross-validation to analyze the state of thyroid damage and select the predictors of thyroid dysfunction. The importance of the predictors identified by the three machine learning algorithms was ranked: the top five predictors were age, thyroid volume, average dose, V50 and V60. Of these, age and volume were negatively correlated with thyroid damage, indicating that the greater the age and thyroid volume, the lower the risk of thyroid damage; the average dose, V50 and V60 were positively correlated with thyroid damage, indicating that the larger the average dose, V50 and V60, the higher the risk of thyroid damage. The RF algorithm was most accurate in predicting the probability of thyroid damage among the three algorithms optimized using the above factors. The Area under the receiver operating characteristic curve (AUC) was 0.827 and the accuracy (ACC) was 0.824. This study found that five predictors (age, thyroid volume, mean dose, V50 and V60) are important factors affecting the chance that patients with head and neck cancer who received radiation therapy will develop hypothyroidism. Using these factors as the prediction basis of the algorithm and using RF to predict the occurrence of hypothyroidism had the highest ACC, which was 82.4%. This algorithm is quite helpful in predicting the probability of radiotherapy complications. It also provides references for assisting medical decision-making in the future.
Varicella‐zoster virus infection and primary membranous nephropathy: a Mendelian randomization study
Authors: Li Lin , Fu Lixin , Zhang Liwen , Feng Yanyan 
Published: November 2023

AbstractPrimary membranous nephropathy (MN) is a rare autoimmune cause of kidney failure. Observational studies have suggested some relationship between virus infection and primary MN, but the association remains unclear. The current study performed a two‑sample Mendelian randomization (MR) analysis to explore the causal association between varicella‐zoster virus (VZV) infection (chickenpox and shingles) and primary MN using genome‑wide association studies (GWASs) summary statistics. The exposure datasets containing chickenpox and shingles were obtained from the GWASs conducted by the 23andMe cohort. And summary‐level statistics for primary MN were used as the outcome dataset, comprising 2150 cases and 5829 controls from European Ancestry. The inverse variance weighted method was adopted as the main analysis. As a result, we found that both genetically determined chickenpox (odds ratio [95% confidential interval] = 3.61 [1.74–7.50], p = 5.59e−04) and shingles (p = 7.95e−03, odds ratio [95% confidential interval] = 2.49 [1.27–4.91]) were causally associated with an increased risk of developing primary MN. In conclusion, our MR findings provided novel genetic evidence supporting the causal effect of VZV infection on primary MN. Further studies are needed to elucidate the underlying mechanisms mediating the causal association.
Characterizing post-branching nephrogenesis in the neonatal rabbit
Authors: Schuh Meredith P. , Yarlagadda Sunitha , Alkhudairy Lyan , Preusse Kristina , Kopan Raphael 
Published: November 2023

AbstractHuman nephrogenesis ends prior to birth in term infants (34–36 week gestation), with most (60%) nephrons forming in late gestation in two post-branching nephrogenesis (PBN) periods: arcading and lateral branch nephrogenesis. Preterm infants, however, must execute PBN postnatally. Extreme prematurity is associated with low nephron counts. Identifying additional model(s) that undergo PBN postnatally will help support postnatal PBN in preterm infants. The rabbit exhibits longer postnatal nephrogenesis than the mouse but whether it forms nephrons through PBN has not been determined. We performed morphologic and immunohistological assessments of rabbit nephrogenesis from birth (post-conceptual day 31 or 32) to PC49 using H&E and antibodies against SIX1, SIX2, WT1, ZO-1, and JAG1 in the postnatal period. We performed 3D rendering of the nephrogenic niche to assess for PBN, and supplemented the staining with RNAScope to map the expression of Six1, Six2 (nephron progenitors, NPC), and Ret (ureteric bud tip) transcripts to determine the nephrogenic niche postnatal lifespan. Unlike the mouse, rabbit SIX2 disappeared from NPC before SIX1, resembling the human niche. Active nephrogenesis as defined by the presence of SIX1 + naïve NPC/tip population persisted only until PC35–36 (3–5 postnatal days). 3D morphologic assessments of the cortical nephrons identified an elongated tubule with attached glomeruli extending below the UB tip, consistent with PBN arcades, but not with lateral branch nephrogenesis. We conclude that the rabbit shows morphologic and molecular evidence of PBN arcades continuing postnatally for a shorter period than previously thought. The rabbit is the first non-primate expressing SIX1 in the progenitor population. Our findings suggest that studies of arcading in postnatal nephrogenic niche should be performed within the first 5 days of life in the rabbit.
Synthesis of an efficient MOF catalyst for the degradation of OPDs using TPA derived from PET waste bottles
Authors: Yarahmadi Hossein , Salamah Sultan K. , Kheimi Marwan 
Published: November 2023

AbstractIn this study, a method for degrading PET-waste plastic bottles using ZnCl2:Urea as a catalyst was developed, resulting in high conversion (87%). The terephthalic acid obtained from the degradation of Waste PET Bottles (WPTs) was combined with copper and zinc salts to synthesize bimetallic metal–organic frameworks (MOF). The effectiveness of a bimetallic Cu-Zn(BDC)-MOF in catalyzing the reduction reaction of organic pollutant dyes (OPDs) was investigated, and the degradation efficiency of individual dyes was optimized, achieving over 95% degradation within 6–12 min under optimal conditions. Various techniques, including FT-IR, XRD, FE-SEM, EDS, and TEM were used to characterize the synthesized MOF. Results showed that the catalytic activity of Cu-Zn-MOF in reduction reaction of OPDs was enhanced by increasing the copper content. The reaction kinetics were investigated following pseudo-first-order kinetics with rate constants of 0.581, 0.43, 0.37, and 0.30 min−1 for Methylene Blue (MB), Methyl Orange (MO), 4-Nitrophenol (4-NP), and 4-Nitroaniline (4-NA), respectively. The investigations revealed that the produced catalyst exhibited excellent stability and recoverability, while its activity remained well-preserved even after undergoing three reuse cycles.
The benefits of haptic feedback in robot assisted surgery and their moderators: a meta-analysis
Authors: Bergholz Max , Ferle Manuel , Weber Bernhard M. 
Published: November 2023

AbstractRobot assisted surgery (RAS) provides medical practitioners with valuable tools, decreasing strain during surgery and leading to better patient outcomes. While the loss of haptic sensation is a commonly cited disadvantage of RAS, new systems aim to address this problem by providing artificial haptic feedback. N = 56 papers that compared robotic surgery systems with and without haptic feedback were analyzed to quantify the performance benefits of restoring the haptic modality. Additionally, this study identifies factors moderating the effect of restoring haptic sensation. Overall results showed haptic feedback was effective in reducing average forces (Hedges’ g = 0.83) and peak forces (Hedges’ g = 0.69) applied during surgery, as well as reducing the completion time (Hedges’ g = 0.83). Haptic feedback has also been found to lead to higher accuracy (Hedges’ g = 1.50) and success rates (Hedges’ g = 0.80) during surgical tasks. Effect sizes on several measures varied between tasks, the type of provided feedback, and the subjects’ levels of surgical expertise, with higher levels of expertise generally associated with smaller effect sizes. No significant differences were found between virtual fixtures and rendering contact forces. Implications for future research are discussed.
Accurate exclusion of kidney regions affected by susceptibility artifact in blood oxygenation level-dependent (BOLD) images using deep-learning-based segmentation
Authors: Ni Chang , Mu Xin , Wu Mingyan , Li Yanbin , Zhang Yuyao , Qi Haikun , Zhang Jeff L. 
Published: November 2023

AbstractSusceptibility artifact (SA) is common in renal blood oxygenation level-dependent (BOLD) images, and including the SA-affected region could induce much error in renal oxygenation quantification. In this paper, we propose to exclude kidney regions affected by SA in gradient echo images with different echo times (TE), based on a deep-learning segmentation approach. For kidney segmentation, a ResUNet was trained with 4000 CT images and then tuned with 60 BOLD images. Verified by a Monte Carlo simulation, the presence of SA leads to a bilinear pattern for the segmented area of kidney as function of TE, and the segmented kidney in the image of turning point’s TE would exclude SA-affected regions. To evaluate the accuracy of excluding SA-affected regions, we compared the SA-free segmentations by the proposed method against manual segmentation by an experienced user for BOLD images of 35 subjects, and found DICE of 93.9% ± 3.4%. For 10 kidneys with severe SA, the DICE was 94.5% ± 1.7%, for 14 with moderate SA, 92.8% ± 4.7%, and for 46 with mild or no SA, 94.3% ± 3.8%. For the three sub-groups of kidneys, correction of SA led to a decrease of R2* of 8.5 ± 2.8, 4.7 ± 1.8, and 1.6 ± 0.9 s−1, respectively. In conclusion, the proposed method is capable of segmenting kidneys in BOLD images and at the same time excluding SA-affected region in a fully automatic way, therefore can potentially improve both speed and accuracy of the quantification procedure of renal BOLD data.
Effectiveness of Television Streaming on Hearing Aid User Performance and Satisfaction in Quiet and in Noise
Authors: Plyler Patrick N. , Razavi Sarah , Hausladen Jennifer , Humphrey Elizabeth 
Published: November 2023

Purpose:The purpose of this study was to determine the effectiveness of television (TV) streaming on hearing aid user performance and satisfaction in quiet and in noise.Method:Twenty experienced hearing aid users were evaluated in quiet and in noise (5 dB SNR) under three hearing aid conditions: hearing aids, streaming with hearing aid microphones attenuated by 6 dB, and streaming with hearing aid microphones muted. The audiovisual Connected Speech Test served as the signal, and the ipsilateral competing message from the Synthetic Sentence Identification—Ipsilateral Competing Message (SSI-ICM) served as the noise. Measures of speech understanding, satisfaction with sound quality and clarity, and preference were obtained.Results:Speech understanding was significantly better in quiet than in noise, and streaming improved performance in noise when the hearing aid microphones were muted. Sound quality satisfaction was significantly better in quiet than in noise but was not impacted significantly by the hearing aid settings. Speech clarity satisfaction was significantly better in quiet than in noise, and streaming improved satisfaction in noise when the hearing aid microphones were muted. More participants preferred streaming with the microphones muted in quiet, in noise, and overall; however, results did not reach statistical significance.Conclusions:Hearing aid users did not benefit from TV streaming with the microphones attenuated or muted when listening in quiet. TV streaming was more beneficial to hearing aid users when listening in noise with the microphones muted. Hearing aid users should be counseled on the impact of the hearing aid microphone settings when using a TV streamer, particularly in noise.
The Impact of Modifiable Preoral Factors on Swallowing and Nutritional Outcomes in Healthy Adults: A Scoping Review
Authors: Burdick Ryan , Bayne David , Hitchcock Mary , Gilmore-Bykovskyi Andrea , Shune Samantha , Rogus-Pulia Nicole 
Published: November 2023

Purpose:
Swallowing has previously been characterized as consisting of four phases; however, it has become apparent that these four phases are not truly discrete and may be influenced by factors occurring prior to bolus entrance into the oral cavity (i.e., preoral factors). Still, the relationship between these factors and swallowing remains poorly understood. The aim of this review was to synthesize and characterize the literature pertaining to the influence of preoral factors on swallowing and nutritional outcomes in healthy individuals.

Method:
We performed a scoping review, searching the databases of PubMed, CINAHL, Cochrane, and Scopus. Search terms included those related to swallowing, experience of preoral factors, and exclusionary terminology to reduce animal and pediatric literature. Our initial search revealed 5,560 unique articles, of which 153 met our inclusionary criteria and were accepted into the review.

Results:
Of the accepted articles, 78% were focused exclusively on nutritional outcomes, 17% were focused on both swallowing and nutritional outcomes, and 5% were focused on solely swallowing outcomes. Of the preoral factors examined, 99% were exteroceptive in nature (17% olfactory, 44% visual, 21% auditory, 7% tactile, 11% other), while 1% were proprioceptive in nature.

Conclusions:
This review supports the influence of preoral factors on swallowing and nutritional outcomes. However, there is a large emphasis on the visual modality and on nutritional outcomes. Nearly none of the literature found in this review directly measured swallowing safety, efficiency, or physiology. Future work will benefit from a larger focus on proprioceptive preoral factors as they relate to swallowing outcomes.
How Inclusive Practice Increases the Educational Relevance of Individualized Education Programs
Authors: Heilmann John J. , Bertone Andrea , Wojtyna Alyssa 
Published: November 2023

Purpose:
Individuals with Disabilities Education Act guidelines for Individualized Education Programs (IEPs) require that students with disabilities should, to the fullest extent appropriate, receive services that promote academic achievement that are delivered within the general educational environment. In this clinical focus article, we will demonstrate how the inclusive practice service delivery model can assist speech-language pathologists (SLPs) with the development of educationally relevant IEPs.

Method:
Twelve SLPs who saw at least 30% of their students in a general education context shared their perspectives on inclusive practice. Their responses were transcribed and coded using deductive qualitative analysis. Their insights were combined with relevant literature to demonstrate how inclusive practice promotes educationally relevant IEPs.

Results:
We provided practical examples of using curriculum-based assessments and academic standards to gauge students' present levels of academic and functional performance. We next described how engaging with the school community and observing students in the educational environment assists with determining the effects of a student's disability on academic achievement and functional performance. We concluded by describing how an inclusive mindset helps to align services to meet students' needs.

Conclusion:
An inclusive framework can help create IEPs that promote students' access, engagement, and progress in age or grade-level curriculum, instruction, and environments by highlighting the impact of a disability on academic achievement and functional performance.

Supplemental Material:

https://doi.org/10.23641/asha.24354319
Congenital Sodium Diarrhea: Antenatal Diagnosis May Prevent Unnecessary Surgery in the Neonate
Authors: Berger Dana S. , Tancioco Virginia , Shrivastava Vineet K. 
Published: November 2023

AbstractCongenital sodium diarrhea (CSD) is a rare, life-threatening condition characterized by intractable diarrhea, hyponatremia, and metabolic acidosis. It presents similarly to other congenital disorders and, therefore, is often misdiagnosed and mistreated.We present a case of CSD that presented with dilated loops of bowel and polyhydramnios at 18 weeks and was thought to be a congenital bowel obstruction. The patient was therefore managed surgically after birth with a diverting ileostomy, however was later found to have elevated stool sodium levels and metabolic derangements consistent with CSD.Our case demonstrates the need for high index of suspicion for congenital diarrheal disorders to prevent unnecessary surgery and a delay in appropriate medical management of this rare condition.
Well-posed evolution of field theories with anisotropic scaling: the Lifshitz scalar field in a black hole space-time
Authors: Rubio M.E. , Kovács Á.D. , Herrero-Valea M. , Bezares M. , Barausse E. 
Published: November 2023

Abstract
Partial differential equations exhibiting an anisotropic scaling between space and time — such as those of Hořava-Lifshitz gravity — have a dispersive nature. They contain higher-order spatial derivatives, but remain second order in time. This is inconvenient for performing long-time numerical evolutions, as standard explicit schemes fail to maintain convergence unless the time step is chosen to be very small. In this work, we develop an implicit evolution scheme that does not suffer from this drawback, and which is stable and second-order accurate. As a proof of concept, we study the numerical evolution of a Lifshitz scalar field on top of a spherically symmetric black hole space-time. We explore the evolution of a static pulse and an (approximately) ingoing wave-packet for different strengths of the Lorentz-breaking terms, accounting also for the effect of the angular momentum eigenvalue and the resulting effective centrifugal barrier. Our results indicate that the dispersive terms produce a cascade of modes that accumulate in the region in between the Killing and universal horizons, indicating a possible instability of the latter.
Magnetogenesis from early structure formation due to Yukawa forces
Authors: Durrer Ruth , Kusenko Alexander 
Published: November 2023

AbstractYukawa interactions can mediate relatively long-range attractive forces between fermions in the early universe. Such a globally attractive interaction creates an instability that can result in the growth of structure in the affected species even during the radiation dominated era. The formation and collapse of fermionic microhalos can create hot fireballs at the sites of the collapsing halos which inject energy into the cosmic plasma. In this paper we study a new phenomena which can take place in such models. We show that the injected energy can be partially converted into primordial magnetic fields and we estimate the correlation scale and the power spectrum of these fields. We show that they may be the seeds of the observed astrophysical magnetic fields.
Self-consistent multi-component simulation of plasma turbulence and neutrals in detached conditions
Authors: Mancini D. , Ricci P. , Vianello N. , Van Parys G. , Oliveira D.S. 
Published: November 2023

Abstract
Simulations of high-density deuterium plasmas in a lower single-null magnetic configuration based on a TCV discharge are presented. We evolve the dynamics of three charged species (electrons,

D

+

and

D

2
+

), interacting with two neutrals species (

D

and

D

2

) through ionization, charge-exchange, recombination and molecular dissociation processes. The plasma is modelled by using the drift-reduced fluid Braginskii equations, while the neutral dynamics is described by a kinetic model. To control the divertor conditions, a

D

2

puffing is used and the effect of increasing the puffing strength is investigated. The increase in fuelling leads to an increase of density in the scrape-off layer and a decrease of the plasma temperature. At the same time, the particle and heat fluxes to the divertor target decrease and the detachment of the inner target is observed. The analysis of particle and transport balance in the divertor volume shows that the decrease of the particle flux is caused by a decrease of the local neutral ionization together with a decrease of the parallel velocity, caused by the lower plasma temperature and the increase in momentum losses. The relative importance of the different collision terms is assessed, showing the crucial role of molecular interactions, as they are responsible for increasing the atomic neutral density and temperature, since most of the

D

neutrals are produced by molecular activated recombination and

D

2

dissociation. The presence of strong electric fields in high-density plasmas is also shown, revealing the role of the E × B drift in setting the asymmetry between the divertor targets. Simulation results are in agreement with experimental observations of increased density decay length, attributed to a decrease of parallel transport, together with an increase of plasma blob size and radial velocity.