bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of the effects of T-2 toxin in chicken-derived three-dimensional hepatic cell cultures
Authors: Vörösházi Júlia , Mackei Máté , Sebők Csilla , Tráj Patrik , Márton Rege Anna , Horváth Dávid Géza , Huber Korinna , Neogrády Zsuzsanna , Mátis Gábor 
Published: January 2024

AbstractDespite being one of the most common contaminants of poultry feed, the molecular effects of T-2 toxin on the liver of the exposed animals are still not fully elucidated. To gain more accurate understanding, the effects of T-2 toxin were investigated in the present study in chicken-derived three-dimensional (3D) primary hepatic cell cultures. 3D spheroids were treated with three concentrations (100, 500, 1000 nM) of T-2 toxin for 24 h. Cellular metabolic activity declined in all treated groups as reflected by the Cell Counting Kit-8 assay, while extracellular lactate dehydrogenase activity was increased after 500 nM T-2 toxin exposure. The levels of oxidative stress markers malondialdehyde and protein carbonyl were reduced by the toxin, suggesting effective antioxidant compensatory mechanisms of the liver. Concerning the pro-inflammatory cytokines, IL-6 concentration was decreased, while IL-8 concentration was increased by 100 nM T-2 toxin exposure, indicating the multifaceted immunomodulatory action of the toxin. Further, the metabolic profile of hepatic spheroids was also modulated, confirming the altered lipid and amino acid metabolism of toxin-exposed liver cells. Based on these results, T-2 toxin affected cell viability, hepatocellular metabolism and inflammatory response, likely carried out its toxic effects by affecting the oxidative homeostasis of the cells.
Evaluation of precipitation across the contiguous United States, Alaska, and Puerto Rico in multi-decadal convection-permitting simulations
Authors: Akinsanola Akintomide Afolayan , Jung Chunyong , Wang Jiali , Kotamarthi Veerabhadra Rao 
Published: January 2024

AbstractThis study is an early effort to generate a multi-decadal convection-permitting regional climate dataset that covers nearly the entire North American continent. We assessed a 20 year dynamically downscaled regional climate simulation at a 4 km spatial resolution with explicit convection across the contiguous United States (CONUS), Alaska, and Puerto Rico. Specifically, we evaluated the model’s performance in representing mean, 95th percentile, and extreme precipitation across regions. Our findings indicate that when compared with ERA5 reanalysis, the forcing data, convection-permitting simulation improves representations of seasonal, 95th percentile, and extreme precipitation over a large portion of the CONUS, Alaska, and Puerto Rico, particularly in areas where precipitation is heaviest. The simulation adds value over its forcing data (ERA5) in up to 53% of all grid cells in the CONUS, 68.8% in Alaska, and 84.0% in Puerto Rico. It is important to note that, however, despite improvements, model errors in Puerto Rico remain large. Similar improvements are observed in extreme indices, including consecutive dry days, maximum 5 days precipitation, and extreme precipitation. Analysis of the diurnal cycle of mean hourly precipitation suggests that representations of convective processes—including onset, dissipation, suppression, downstream propagation, and local circulation—improved overall.
Clinical role of pretreatment albumin-to-alkaline phosphatase ratio in lung cancer: a meta-analysis
Authors: Yang Yanhui , Wang Yi , Li Xiaoliang , Xie Xiaoyang 
Published: January 2024

AbstractThe association between pretreatment albumin-to-alkaline phosphatase ratio (AAPR) and clinicopathological parameters and prognosis in lung cancer is unclear. The study aimed to identify the clinical role of pretreatment AAPR among lung cancer patients. Several databases were searched for relevant studies. The primary outcome and secondary outcome were long-term survival including the overall survival (OS) and progression-free survival (PFS) and clinicopathological characteristics, respectively. The hazard ratios (HRs) and relative risks (RRs) with 95% confidence intervals (CIs) were combined. A total of 11 publications involving 10,589 participants were included in this meta-analysis. The pooled results manifested that a lower pretreatment AAPR predicted poorer OS (HR = 0.65, 95% CI 0.59–0.71, P < 0.001) and PFS (HR = 0.68, 95% CI 0.59–0.78, P < 0.001). Furthermore, subgroup analysis for the OS and PFS based on the pathological type and treatment showed similar results and pretreatment AAPR was significantly associated with worse prognosis. Besides, pretreatment AAPR was significantly associated with male (RR = 1.08, 95% CI 1.03–1.13, P < 0.001), poor differentiation (RR = 1.33, 95% CI 1.03–1.73, P = 0.029), advanced T stage (RR = 1.25, 95% CI 1.03–1.52, P = 0.026), N stage (RR = 1.34, 95% CI 1.15–1.55, P < 0.001) and TNM stage (RR = 1.14, 95% CI 1.06–1.223, P < 0.001). Therefore, pretreatment AAPR is significantly related to prognosis and tumor stage in lung cancer and patients with a lower pretreatment AAPR are more likely to experience poor survival and advanced tumor stage.
Introducing a new approach for modeling a given time series based on attributing any random variation to a jump event: jump-jump modeling
Authors: Movahed Ali Asghar , Noshad Houshyar 
Published: January 2024

AbstractWhen analyzing the data sampled at discrete times, one encounters successive discontinuities in the trajectory of the sampled time series, even if the underlying path is continuous. On the other hand, the distinction between discontinuities caused by finite sampling of continuous stochastic process and real discontinuities in the sample path is one of the main problems. Clues like these led us to the question: Is it possible to provide a model that treats any random variation in the data set as a jump event, regardless of whether the given time series is classified as diffusion or jump-diffusion processes? To address this question, we wrote a new stochastic dynamical equation, which includes a drift term and a combination of Poisson jump processes with different distributed sizes. In this article, we first introduce this equation in its simplest form including a drift term and a jump process, and show that such a jump-drift equation is able to describe the discrete time evolution of a diffusion process. Afterwards, we extend the modeling by considering more jump processes in the equation, which can be used to model complex systems with various distributed amplitudes. At each step, we also show that all the unknown functions and parameters required for modeling can be obtained non-parametrically from the measured time series.
Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)
Authors: Lafzi Atefeh , Borrelli Costanza , Baghai Sain Simona , Bach Karsten , Kretz Jonas A , Handler Kristina , Regan-Komito Daniel , Ficht Xenia , Frei Andreas , Moor Andreas 
Published: January 2024

AbstractSequencing-based spatial transcriptomics (ST) methods allow unbiased capturing of RNA molecules at barcoded spots, charting the distribution and localization of cell types and transcripts across a tissue. While the coarse resolution of these techniques is considered a disadvantage, we argue that the inherent proximity of transcriptomes captured on spots can be leveraged to reconstruct cellular networks. To this end, we developed ISCHIA (Identifying Spatial Co-occurrence in Healthy and InflAmed tissues), a computational framework to analyze the spatial co-occurrence of cell types and transcript species within spots. Co-occurrence analysis is complementary to differential gene expression, as it does not depend on the abundance of a given cell type or on the transcript expression levels, but rather on their spatial association in the tissue. We applied ISCHIA to analyze co-occurrence of cell types, ligands and receptors in a Visium dataset of human ulcerative colitis patients, and validated our findings at single-cell resolution on matched hybridization-based data. We uncover inflammation-induced cellular networks involving M cell and fibroblasts, as well as ligand-receptor interactions enriched in the inflamed human colon, and their associated gene signatures. Our results highlight the hypothesis-generating power and broad applicability of co-occurrence analysis on spatial transcriptomics data.
Selective grain boundary passivation by ammonium nitrate for enhanced performance and stability of FA-Cs based perovskite solar cells
Authors: Li Xiaoshan , Yu Wenjing , Hou Tian , Yang Xin , Wang Xin , Jiang Guangmian , Fu Zhipeng , Chen Kaipeng , Li Yanlin , Yang Chengbin , Sun Xiaoran , Zhang Meng 
Published: January 2024

Ammonium nitrate can be used for selective grain boundary passivation of FA-Cs based perovskite thin films and solar cells.
Radiolytic evaluation of a new technetium redox control reagent for advanced used nuclear fuel separations
Authors: Dang Anh N. , Rogalski Maya H. , Pilgrim Corey D. , Wilbanks Joseph R. , Peterman Dean R. , Carrie Jesse D. , Zalupski Peter R. , Mezyk Stephen P. , Horne Gregory P. 
Published: January 2024

Steady-state and time-resolved irradiations of diaminoguanidine have shown that the longevity of this potential TcO4− redox control reagent will be limited by its reaction with nitrous acid and oxidizing radicals from nitric acid radiolysis.
In silico prediction aided preparation of antioxidant soybean peptides by enzymatic hydrolysis for ameliorating lead exposure-induced toxicity
Authors: Ju Yaojun , Bu Dingdong , Wang Haozhe , Li Bingye , Cheng Dai 
Published: January 2024

Antioxidant soybean peptides prepared with the optimized enzymatic hydrolysis process aided by in silico prediction can protetect against Pb toxicity.
CBe4H6: a molecular rotor with a built-in on–off switch
Authors: Jin Bo , Yuan Caixia , Guo Jin-Chang , Wu Yan-Bo 
Published: January 2024

CBe4H6 is a molecular rotor with a C–H bond as on-off switch, the temperature-dependent equatorial and axial configurations of the C–H bond can stop and resume rotation, respectively, by destroying and restoring its central delocalized σ bonds.
Patient Characteristics and Treatment Patterns for Speech-Language Pathology Services in Skilled Nursing Facilities
Authors: Brown Cait , Prusynski Rachel , Baylor Carolyn , Humbert Andrew , Mroz Tracy M. 
Published: January 2024

Purpose:
Skilled nursing facility (SNF) care has historically been influenced by systemic issues that could impact speech-language pathology (SLP) service provision. However, there has been little study specifically on factors associated with SLP service provision in SNFs. Large administrative data sets are rarely analyzed in SLP research but can be used to understand real-world SLP services. This study investigated associations between patient and facility characteristics and SLP services.

Method:
Mixed-effects logistic regression models were used to evaluate factors associated with SLP service provision in 2018 Medicare administrative data representing 833,653 beneficiaries.

Results:
Beneficiaries had higher odds of receiving SLP services when they had neurologic diagnosis (odds ratio [OR] = 3.32), had SLP-related functional impairments (ORs = 1.19–3.41), and received other rehabilitative services (ORs = 3.11–3.78). Beneficiaries had lower odds of receiving SLP services when they received care from SNFs located in hospitals versus freestanding (OR = 0.45), with need for interpreter services (OR = 0.76) and with thresholding (OR = 0.68), a financially motivated practice. Direction of association varied across racial and ethnic groups and measures of location. Odds of being provided SLP services decreased with increasing communication impairment severity.

Conclusions:
The results suggest that clinicians are identifying patients with diagnoses most likely to warrant SLP services. However, association disparities and weakening association of service provision with increasing impairment severity have concerning clinical implications. Health services research methods can be used to further explore SLP practices in SNFs to support equitable service provision.
Automated Measures of Syntactic Complexity in Natural Speech Production: Older and Younger Adults as a Case Study
Authors: Agmon Galit , Pradhan Sameer , Ash Sharon , Nevler Naomi , Liberman Mark , Grossman Murray , Cho Sunghye 
Published: January 2024

Purpose:Multiple methods have been suggested for quantifying syntactic complexity in speech. We compared eight automated syntactic complexity metrics to determine which best captured verified syntactic differences between old and young adults.Method:We used natural speech samples produced in a picture description task by younger (n= 76, ages 18–22 years) and older (n= 36, ages 53–89 years) healthy participants, manually transcribed and segmented into sentences. We manually verified that older participants produced fewer complex structures. We developed a metric of syntactic complexity using automatically extracted syntactic structures as features in a multidimensional metric. We compared our metric to seven other metrics: Yngve score, Frazier score, Frazier–Roark score, developmental level, syntactic frequency, mean dependency distance, and sentence length. We examined the success of each metric in identifying the age group using logistic regression models. We repeated the analysis with automatic transcription and segmentation using an automatic speech recognition (ASR) system.Results:Our multidimensional metric was successful in predicting age group (area under the curve [AUC] = 0.87), and it performed better than the other metrics. High AUCs were also achieved by the Yngve score (0.84) and sentence length (0.84). However, in a fully automated pipeline with ASR, the performance of these two metrics dropped (to 0.73 and 0.46, respectively), while the performance of the multidimensional metric remained relatively high (0.81).Conclusions:Syntactic complexity in spontaneous speech can be quantified by directly assessing syntactic structures and considering them in a multivariable manner. It can be derived automatically, saving considerable time and effort compared to manually analyzing large-scale corpora, while maintaining high face validity and robustness.Supplemental Material:https://doi.org/10.23641/asha.24964179
Narrative Intervention for Preschoolers Who Are Deaf and Hard of Hearing Using Listening and Spoken Language: A Pilot Study
Authors: Carden Kameron C. , McWilliam Robin A. , McLeod Ragan H. , Fedewa Megan P. 
Published: January 2024

Purpose:
This pilot study aimed to examine the effects of a caregiver-supported, narrative-based intervention program on the story retelling skills of a group of preschoolers who are deaf and hard of hearing (D/HH) using listening and spoken language (LSL).

Method:
A concurrent multiple baseline design across participants was used to determine the effect of a narrative intervention on the story retelling skills of three preschool-age participants who demonstrated complex language delays. Their primary caregivers also functioned as participants. The 6-week narrative intervention program was implemented using a caregiver coaching model during individual therapy sessions. The dependent variable probes were administered twice per week across phases to assess the preschool participants' story retelling skills, including story grammar, complexity, and completeness. Social validity was also evaluated using a caregiver questionnaire.

Results:
A functional relation was demonstrated between the intervention and story retelling across all three preschool participants with notable increases in the inclusion of story grammar elements and episodic completeness. All three participants maintained scores above baseline levels on dependent variable probes across the 6-week maintenance period. Social validity was strong according to the results of a caregiver questionnaire completed at the conclusion of the intervention.

Conclusion:
These findings offer preliminary support for the use of a caregiver-supported, narrative-based intervention program to improve storytelling and retelling skills in preschoolers who are D/HH using LSL.
Middle-Level Managers: Untapped Champions of Evidence-Based Practice?
Authors: Grandbois Kate , Penrod Sara , McGrath Shana , Douglas Natalie F. 
Published: January 2024

Purpose:
The purpose of this article is to contend that middle-level managers (MMs) are an untapped resource in speech-language pathology to champion the implementation of evidence-based practices in routine clinical settings. Relevant literature is presented related to middle-level managers and their role in closing the research-to-practice gap. We additionally describe empirical examples from related fields and clinical examples from individuals who are conducting this work now in speech-language pathology.

Conclusions:
Although more research is needed, there is growing evidence that MMs have responsibilities beyond traditional supervisory roles. We argue that they may be key personnel to closing the research-to-practice gap by championing the implementation of evidence-based practice and, as such, we recommend further research and exploration of this innovative area.
Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification
Authors: Lee Jaekwon , Oh Beom‐Seok , Toh Kar‐Ann 
Published: January 2024

AbstractA novel method based on the cross‐modality intersecting features of the palm‐vein and the palmprint is proposed for identity verification. Capitalising on the unique geometrical relationship between the two biometric modalities, the cross‐modality intersecting points provides a stable set of features for identity verification. To facilitate flexibility in template changes, a template transformation is proposed. While maintaining non‐invertibility, the template transformation allows transformation sizes beyond that offered by the conventional means. Extensive experiments using three public palm databases are conducted to verify the effectiveness the proposed system for identity recognition.
La sélection des étudiants à l’entrée des études de santé : les enjeux de l’égalité des chances
Authors: Nadjafizadeh Marjan 
Published: January 2024

Contexte et problématique : Dans tous les pays, le nombre des candidats aux études supérieures conduisant à l’exercice de professions de santé dépasse largement le nombre des places disponibles. Dès lors, se pose inéluctablement le problème du choix des méthodes, des procédés et des épreuves à mettre en œuvre et, corollairement, des critères à prendre en compte pour la sélection des étudiants. Exégèse : L’auteure examine les différentes dimensions de la notion de justice et la manière de la concevoir dans l’enseignement supérieur, lorsqu’une sélection doit être opérée parmi les étudiants, en lien avec les enjeux d’une égalité des chances.
Radiosynthesis of α-[18F]Fluoroamides with [18F]AgF
Authors: Xu Bo , Han Junbin , Gong Kehao , Yin Zhengxu , Song Pengfei 
Published: January 2024

AbstractA silver-promoted nucleophilic radiofluorination of α-bromoamides has been developed for the radiosynthesis of α-[18F]fluoroamides. The reaction conditions are straightforward and compatible with primary, secondary, and tertiary α-bromoamides. Furthermore, the methodology has been successfully applied to the synthesis of bioactive radiotracers with good radiochemical conversion (RCC) and radiochemical yield (RCY).
Outcomes in Patients with Bilateral Distal Radius Fractures
Authors: Kwan Stephanie A. , McEntee Richard , Sodha Samir , Kwok Moody , Beredjiklian Pedro K. , Tulipan Jacob E. 
Published: January 2024

Abstract
Background Fractures of the distal radius that occur bilaterally are comparatively uncommon, with the incidence of these injuries and patient outcomes following different modes of treatment being unknown.
Purpose This article evaluates the demographics, management, and functional outcomes of patients that sustain bilateral distal radius fractures (DRFs).
Materials and Methods We retrospectively identified 85 patients that sustained bilateral DRF and were treated at a single institution from 2016 to 2019. Thirty-four patients were treated operatively, 41 patients were treated nonoperatively, and 10 patients were treated operatively in one extremity and nonoperatively in the other. Fractures were classified by a single fellowship-trained orthopaedic hand surgeon. Range of motion (ROM) data and Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores were collected. Differences between the three groups with regards to demographics, mechanism of injury (MOI), and complications were recorded.
Results The pediatric population had significantly higher energy MOIs compared to the adult population. There was no difference between the groups with regard to associated injuries or complications. The pediatric population had significantly more AO type A fractures compared to the adult population, which had a bimodal distribution of AO type A and C fractures. The pediatric population saw significantly more patients undergo nonoperative treatment. Both populations had a higher rate of operative intervention for bilateral DRF than noted in the literature for unilateral. In the adult population there were no significant differences in DASH scores between the operative and nonoperative groups.
Conclusion Bilateral DRFs appear to have a similar bimodal age distribution to unilateral DRF. Younger patients undergo nonoperative management more commonly than operative or mixed management. Postoperative ROM and complications appear to be equivalent across all three groups regardless of age.
Level of Evidence Level IV, Prognostic study.
Treatment Failure and Clinical Stability in Severe Community-Acquired Pneumonia
Authors: Méndez Raúl , González-Jiménez Paula , Mengot Noé , Menéndez Rosario 
Published: January 2024

AbstractTreatment failure and clinical stability are important outcomes in community-acquired pneumonia (CAP). It is essential to know the causes and risk factors for treatment failure and delay in reaching clinical stability in CAP. The study of both as well as the associated underlying mechanisms and host response are key to improving outcomes in pneumonia.
Early Reconstruction with Locoregional-Free Flaps in Post-COVID-19 Rhino-orbital-cerebral Mucormycosis Craniofacial Deformities: A Single-Center Clinical Experience from India
Authors: Singh Veena K. , Haq Ansarul , Sharma Sarsij , Kumari Anupama 
Published: January 2024

Abstract
Aim of the Study Mucormycosis is a rare invasive and fatal fungal infection and its resurgence in coronavirus disease 2019 (COVID-19) patients has been a matter of grave concern. It is essentially a medical disease, but surgical debridement of necrotic tissues is of paramount importance leading to severe craniofacial deformities. In this case series, we present our experience with the feasibility of early reconstruction after surgical debridement.
Case Series As a Dedicated COVID Center (DCH), the institute received the largest population of COVID-19 mucormycosis patients from the entire eastern region of the country between May 2021 and August 2021. More than 5,000 COVID-19 were admitted out of which 218 patients were diagnosed with mucormycosis. Nine patients, seven males and two females, with a mean age of 39 years with craniofacial mucormycosis underwent debridement and early reconstructions (2–4 weeks from first debridement and start of antifungal therapy) with free and pedicled flaps. All flaps survived and showed no evidence of recurrence. The average time of the early reconstruction after surgical debridement was 1.7 weeks once the course of systemic amphotericin B was received.
Conclusion After aggressive surgical resection and a short course of antifungal therapy, early reconstruction can be done safely based on clinical criteria, as long as there is no evidence of hyphae invasion on wound edges in the intraoperative pathology examination.