bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exosomal circ_0037104 derived from Hu‐MSCs inhibits cholangiocarcinoma progression by sponging miR‐620 and targeting AFAP1
Authors: Yuan Zilin , Xiong Ba , Liu Lie , Lu Yifan , Liu Yueping , Wang Gang , Qian Yang , Diao Bo , Tu Mingzhong 
Published: January 2024

AbstractExosomes are membrane‐enclosed nanovesicles that shuttle active cargoes, such as circular RNAs (circRNAs) and microRNAs (miRNAs), between different cells. Human umbilical cord‐derived mesenchymal stem cells (Hu‐MSCs) can migrate to tumor sites and exert complex functions throughout tumor progression. In this study, we successfully isolated Hu‐MSCs from human umbilical cords based on their surface marker expression. Hu‐MSC‐derived exosomes significantly reduced the invasion, migration, and proliferation of cholangiocarcinoma (CCA) cells. Furthermore, circ_0037104 was downregulated in CCA and inhibited the proliferation and metastasis of CCA cells. Then, we investigated the effect of Hu‐MSC‐derived exosomal circ_0037104 on CCA. Circ_0037104 mainly regulates miR‐620 and enhances APAF1 expression, inhibiting CCA cell proliferation and metastasis. Overall, Hu‐MSC exosomal circ_0037104 contributes to the progression and stemness of CCA cells via miR‐620/APAF1. In conclusion, Hu‐MSC‐derived exosomal circ_0037104 sponges miR‐620 directly and negatively targets APAF1 to suppress CCA.
Chemical bonding in Uranium‐based materials: A local vibrational mode case study of Cs 2UO 2Cl 4 and UCl 4 crystals
Authors: Bodo Filippo , Erba Alessandro , Kraka Elfi , Moura Renaldo T. 
Published: January 2024

AbstractThe Local Vibrational Mode Analysis, initially applied to diverse molecular systems, was extended to periodic systems in 2019. This work introduces an enhanced version of the LModeA software, specifically designed for the comprehensive analysis of two and three‐dimensional periodic structures. Notably, a novel interface with the Crystal package was established, enabling a seamless transition from molecules to periodic systems using a unified methodology. Two distinct sets of uranium‐based systems were investigated: (i) the evolution of the Uranyl ion (UO) traced from its molecular configurations to the solid state, exemplified by CsUOCl and (ii) Uranium tetrachloride (UCl) in both its molecular and crystalline forms. The primary focus was on exploring the impact of crystal packing on key properties, including IR and Raman spectra, structural parameters, and an in‐depth assessment of bond strength utilizing local mode perspectives. This work not only demonstrates the adaptability and versatility of LModeA for periodic systems but also highlights its potential for gaining insights into complex materials and aiding in the design of new materials through fine‐tuning.
Accommodations for disabilities in dental education: A focus on technical standards and clinical skills
Authors: Reuben Jayne S. , Hashmani Khairunisa , Perez Mitzy , Gyurko Robert , Kang Mary , Cooke Matthew R. 
Published: January 2024

AbstractProviding disability‐based accommodations is a multifaceted process that must balance the needs of dental students and their institutions. Reasonable accommodations must not compromise patient safety or cause an undue burden on the student or institution. Therefore, more creative approaches must be considered as the number of individuals and the types of learning disabilities have increased in recent years. In the clinical setting, providing accommodations also requires detailed advanced planning and collaboration to maintain program quality. However, current technical standards (TS) may serve as a barrier to entry into the health professions for people with disabilities. These individuals remain substantially underrepresented in dentistry despite bringing unique perspectives and experiences that can contribute to a diverse workforce of culturally proficient practitioners. In response, many schools have adopted a “functional” approach to TS that emphasizes a student's abilities rather than their limitations. In addition, innovative assistive technologies coupled with the application of critical pedagogy and universal design learning practices that engage people with the widest possible range of capabilities allows equitable approaches for learning and assessment while maintaining professional standards.
Sarcopenia and frailty in inflammatory bowel disease: Emerging concepts and evidence
Authors: Neelam Pardhu B , Sharma Alka , Sharma Vishal 
Published: January 2024

AbstractSarcopenia is a condition marked by progressive loss of skeletal muscle mass and function while frailty is a multidimensional concept characterized by diminished physiological reserve and increased vulnerability to stressors. Both of these were previously considered as related to aging and shown to impact the quality of life and carry prognostic significance. Emerging data show that both sarcopenia and frailty carry similar relevance in chronic illness. Inflammatory bowel disease (IBD) is characterized by chronic inflammation of the gastrointestinal tract and malnourishment, both of which contribute to the development of sarcopenia by increasing protein breakdown and reducing protein synthesis. The coexistence of frailty further compounds the clinical complexity of IBD patients. Published evidence suggests a bidirectional association with IBD contributing to muscle wasting, while the resultant sarcopenia and frailty could further exacerbate the disease course. Sarcopenia and frailty are independently associated with adverse outcomes, including hospitalizations, increased surgical interventions, and surgical complications. As therapeutic strategies for IBD evolve, understanding the nuanced relationship between inflammatory bowel disease, sarcopenia, and frailty is crucial for devising holistic management. Comprehensive care should encompass not only disease‐modifying therapies but also interventions targeting frailty and sarcopenia, as they have been shown to have a significant impact not only on the disease course but also on the quality of life. Future research could focus on further elucidating underlying mechanisms, simple screening strategies, and developing targeted interventions to improve the overall quality of life for individuals grappling with the complex interplay of IBD, sarcopenia, and frailty.
Disorders of vesicular trafficking presenting with recurrent acute liver failure: NBAS, RINT1, and SCYL1 deficiency
Authors: Peters Bianca , Dattner Tal , Schlieben Lea D. , Sun Tian , Staufner Christian , Lenz Dominic 
Published: January 2024

AbstractAmong genetic disorders of vesicular trafficking, there are three causing recurrent acute liver failure (RALF): NBAS, RINT1, and SCYL1‐associated disease. These three disorders are characterized by liver crises triggered by febrile infections and account for a relevant proportion of RALF causes. While the frequency and severity of liver crises in NBAS and RINT1‐associated disease decrease with age, patients with SCYL1 variants present with a progressive, cholestatic course. In all three diseases, there is a multisystemic, partially overlapping phenotype with variable expression, including liver, skeletal, and nervous systems, all organ systems with high secretory activity. There are no specific biomarkers for these diseases, and whole exome sequencing should be performed in patients with RALF of unknown etiology. NBAS, SCYL1, and RINT1 are involved in antegrade and retrograde vesicular trafficking. Pathomechanisms remain unclarified, but there is evidence of a decrease in concentration and stability of the protein primarily affected by the respective gene defect and its interaction partners, potentially causing impairment of vesicular transport. The impairment of protein secretion by compromised antegrade transport provides a possible explanation for different organ manifestations such as bone alteration due to lack of collagens or diabetes mellitus when insulin secretion is affected. Dysfunction of retrograde transport impairs membrane recycling and autophagy. The impairment of vesicular trafficking results in increased endoplasmic reticulum stress, which, in hepatocytes, can progress to hepatocytolysis. While there is no curative therapy, an early and consequent implementation of an emergency protocol seems crucial for optimal therapeutic management.
Characterization of halotolerant microalga isolated from waterlogged habitats: Deciphering the biochemical profiling and unraveling the molecular identity
Authors: Sharma Nishu , Kaur Manpreet , Gupta Phutela Urmila , Bhatia Surekha 
Published: January 2024

AbstractThe primary objective of this study was to comprehensively explore the biochemical profile of the novel halotolerant microalgae strain, biogas laboratory scenedesmus (BGLRS), previously isolated from waterlogged regions in the southwest zone of Punjab, India. To achieve this, three distinct drying methods viz. freeze‐drying, oven‐drying, and shade‐drying were employed and biochemical composition and antioxidant analyses on the microalgal biomass were conducted. Utilizing advanced analytical techniques, including high‐performance liquid chromatography (HPLC), inductively coupled plasma‐atomic emission spectroscopy (ICP‐AES), and gas chromatography‐mass spectroscopy (GC‐MS) on freeze‐dried biomass, its carbohydrate profile, micronutrient composition, and presence of bioactive compounds with potential therapeutic and nutraceutical significance were sought to unravel. Among the drying methods evaluated, freeze‐drying exhibited the most promising experimental results, prompting its selection for further investigation. Notably, ICP‐AES unveiled elevated concentrations of essential elements such as calcium, iron, magnesium, and phosphorus in BGLRS, with negligible traces of heavy metals, underscoring its safety for human consumption. GC‐MS analysis further divulged the existence of numerous biologically active compounds, indicating potential applications in medical and nutraceutical fields. Through molecular identification using sequencing of the internal transcribed spacer (ITS) region, a close taxonomic resemblance between BGLRS and Scenedesmus sp. MKB was established, solidifying its unique position within the microalgal taxonomy. The deposition of ITS sequences into the NCBI GenBank, obtaining accession number MN796425, attests to the rigor and transparency of this research. Overall, these findings strongly suggest that microalgae BGLRS possesses high‐quality biochemical attributes of significant therapeutic and nutraceutical importance.
Impact of corporate social responsibility on brand trust and brand loyalty: Case of Uber
Authors: Moon Joonho , Hwang Jinsoo , Lee Won Seok 
Published: January 2024

AbstractThe purpose of this research is to investigate the structural relationship between Uber corporate social responsibility (CSR), brand trust, and brand loyalty. Stakeholder theory is the theoretical foundation of the study. The CSR subdimensions of eco‐friendliness, quarantine, user privacy, user safety, and driver well‐being are used. Amazon Mechanical Turk was employed for data collection. The number of observations is 405. A structural equation model was implemented to test the research hypotheses. This study demonstrated the accountability of stakeholder theory for Uber brand management by showing a significant link between quarantine, user privacy, user safety, driver well‐being, brand trust, and brand loyalty. This study contributes to the literature by validating the explanatory power of stakeholder theory in the case of Uber brand management.
Ecotourism branding in protected areas of Iran: Using an efficient hybrid multi‐criteria decision‐making method model
Authors: Tajer Elnaz , Demir Sara 
Published: January 2024

AbstractEcotourism, as a nature‐based sustainable tourism, raises awareness about the protection of natural and cultural landscape values. This study aims to determine the ecotourism criteria to develop strategies for a sustainable ecotourism branding in Golestan, located in the northeast of Iran. To reach this aim, Strengths‐Weaknesses‐Opportunities‐Threats (SWOT) analysis, multi‐criteria decision‐making methods consisting of Analytic Hierarchy Process (AHP), and Best and Worst Method (BWM) were integrated. The most appropriate ecotourism strategies for the branding of the study area were ranked according to their priorities. The results of this study reveal that among the 5 main and 20 sub ecotourism criteria, “having natural protected areas,” which is an opportunity, and “having ecological values,” which is a strength, were determined as the highest priority strategies for ecotourism branding. The methods and results of this quantitative‐based research present an exemplary hybrid model that prioritizes the strategies required for branding ecotourism in similar protected areas.
Development of Artificial Intelligence Image Classification Models for Determination of Umbilical Cord Vascular Anomalies
Authors: Calhoun Byron C. , Uselman Heather , Olle Eric W. 
Published: January 2024

ObjectiveThe goal of this work was to develop robust techniques for the processing and identification of SUA using artificial intelligence (AI) image classification models.MethodsUltrasound images obtained retrospectively were analyzed for blinding, text removal, AI training, and image prediction. After developing and testing text removal methods, a small n‐size study (40 images) using fastai/PyTorch to classify umbilical cord images. This data set was expanded to 286 lateral‐CFI images that were used to compare: different neural network performance, diagnostic value, and model predictions.ResultsAI‐Optical Character Recognition method was superior in its ability to remove text from images. The small n‐size mixed single umbilical artery determination data set was tested with a pretrained ResNet34 neural network and obtained and error rate average of 0.083 (n = 3). The expanded data set was then tested with several AI models. The majority of the tested networks were able to obtain an average error rate of <0.15 with minimal modifications. The ResNet34‐default performed the best with: an image‐classification error rate of 0.0175, sensitivity of 1.00, specificity of 0.97, and ability to correctly infer classification.ConclusionThis work provides a robust framework for ultrasound image AI classifications. AI could successfully classify umbilical cord types of ultrasound image study with excellent diagnostic value. Together this study provides a reproducible framework to develop AI‐specific ultrasound classification of umbilical cord or other diagnoses to be used in conjunction with physicians for optimal patient care.
Long‐Term Outcomes and Revision Rates in Laryngeal Reinnervation
Authors: Torrecillas Vanessa F. , Hoffman Matthew R. , Schiffer Breanne , Keefe Katherine , Smith Marshall E. 
Published: January 2024

ObjectivesNonselective laryngeal reinnervation is an effective procedure to improve voice quality after unilateral vocal fold paralysis. Few studies have captured long‐term outcome data, and the revision rate for this operation is currently unknown. The objective of this study is to describe the long‐term outcomes and revision rates of unilateral, nonselective reinnervation in pediatric and adult patients.MethodsPatients who underwent laryngeal reinnervation from 2000 to 2022 with a single surgeon were identified for inclusion. Patients who underwent bilateral, super selective, deinnervation and reinnervation, and/or concurrent arytenoid adduction procedures were excluded. Outcome measures included maximum phonation time [MPT], voice handicap index score [VHI], patient‐reported percent normal voice, revision procedures, and complications. Data were compiled and analyzed using paired t‐tests, repeated measures analysis of covariance, and binary logistic regression analysis.ResultsOne hundred thirty‐two patients underwent unilateral, nonselective ansa‐recurrent laryngeal nerve [RLN] laryngeal reinnervation. Reinnervation significantly improved MPT and patient‐reported percentage of normal voice and significantly decreased VHI. Eleven patients underwent revision procedures, corresponding to a revision rate of 8.3%. Additional procedures included medialization laryngoplasty [n = 3], medialization laryngoplasty with arytenoid adduction [n = 3] and injection augmentation greater than 1 year after reinnervation [n = 5]. The only factor associated with the need for additional surgery was time lapse from nerve injury to reinnervation. The overall complication rate was 6.8%; no patient required reintubation or tracheostomy.ConclusionUnilateral, nonselective laryngeal reinnervation can provide reliable improvement in vocal symptoms after recurrent laryngeal nerve injury. The revision rate after laryngeal reinnervation is favorable and comparable to framework surgery.Level of Evidence4 Laryngoscope, 134:3187–3192, 2024
The Effect of Noise on Deep Learning for Classification of Pathological Voice
Authors: Hasebe Koki , Fujimura Shintaro , Kojima Tsuyoshi , Tamura Keiichi , Kawai Yoshitaka , Kishimoto Yo , Omori Koichi 
Published: January 2024

ObjectiveThis study aimed to evaluate the significance of background noise in machine learning models assessing the GRBAS scale for voice disorders.MethodsA dataset of 1406 voice samples was collected from retrospective data, and a 5‐layer 1D convolutional neural network (CNN) model was constructed using TensorFlow. The dataset was divided into training, validation, and test data. Gaussian noise was added to test samples at various intensities to assess the model's noise resilience. The model's performance was evaluated using accuracy, F1 score, and quadratic weighted Cohen's kappa score.ResultsThe model's performance on the GRBAS scale generally declined with increasing noise intensities. For the G scale, accuracy dropped from 70.9% (original) to 8.5% (at the highest noise), F1 score from 69.2% to 1.3%, and Cohen's kappa from 0.679 to 0.0. Similar declines were observed for the remaining RBAS components.ConclusionThe model's performance was affected by background noise, with substantial decreases in evaluation metrics as noise levels intensified. Future research should explore noise‐tolerant techniques, such as data augmentation, to improve the model's noise resilience in real‐world settings.Level of EvidenceThis study evaluates a machine learning model using a single dataset without comparative controls. Given its non‐comparative design and specific focus, it aligns with Level 4 evidence (Case‐series) under the 2011 OCEBM guidelines Laryngoscope, 134:3537–3541, 2024
Emerging phosphodiesterase inhibitors for treatment of neurodegenerative diseases
Authors: Xiang Yu , Naik Swapna , Zhao Liyun , Shi Jianyou , Ke Hengming 
Published: January 2024

AbstractNeurodegenerative diseases (NDs) cause progressive loss of neuron structure and ultimately lead to neuronal cell death. Since the available drugs show only limited symptomatic relief, NDs are currently considered as incurable. This review will illustrate the principal roles of the signaling systems of cyclic adenosine and guanosine 3′,5′‐monophosphates (cAMP and cGMP) in the neuronal functions, and summarize expression/activity changes of the associated enzymes in the ND patients, including cyclases, protein kinases, and phosphodiesterases (PDEs). As the sole enzymes hydrolyzing cAMP and cGMP, PDEs are logical targets for modification of neurodegeneration. We will focus on PDE inhibitors and their potentials as disease‐modifying therapeutics for the treatment of Alzheimer's disease, Parkinson's disease, and Huntington's disease. For the overlapped but distinct contributions of cAMP and cGMP to NDs, we hypothesize that dual PDE inhibitors, which simultaneously regulate both cAMP and cGMP signaling pathways, may have complementary and synergistic effects on modifying neurodegeneration and thus represent a new direction on the discovery of ND drugs.
Recent advances in the adjunctive management of diabetic foot ulcer: Focus on noninvasive technologies
Authors: Wang Fen , Zhang Xiaoling , Zhang Jing , Xu Qinqin , Yu Xuefeng , Xu Anhui , Yi Chengla , Bian Xuna , Shao Shiying 
Published: January 2024

AbstractDiabetic foot ulcer (DFU) is one of the most costly and serious complications of diabetes. Treatment of DFU is usually challenging and new approaches are required to improve the therapeutic efficiencies. This review aims to update new and upcoming adjunctive therapies with noninvasive characterization for DFU, focusing on bioactive dressings, bioengineered tissues, mesenchymal stem cell (MSC) based therapy, platelet and cytokine‐based therapy, topical oxygen therapy, and some repurposed drugs such as hypoglycemic agents, blood pressure medications, phenytoin, vitamins, and magnesium. Although the mentioned therapies may contribute to the improvement of DFU to a certain extent, most of the evidence come from clinical trials with small sample size and inconsistent selections of DFU patients. Further studies with high design quality and adequate sample sizes are necessitated. In addition, no single approach would completely correct the complex pathogenesis of DFU. Reasonable selection and combination of these techniques should be considered.
A continuous flow bioreactor system for high‐throughput hyperpolarized metabolic flux analysis
Authors: Christensen Nichlas Vous , Holm Rikke , Sanchez Juan D. , Hansen Esben S. S. , Lerche Mathilde H. , Ardenkjær‐Larsen Jan Henrik , Laustsen Christoffer , Bertelsen Lotte Bonde 
Published: January 2024

AbstractHyperpolarized carbon‐13 labeled compounds are increasingly being used in medical MR imaging (MRI) and MR imaging (MRI) and spectroscopy (MRS) research, due to its ability to monitor tissue and cell metabolism in real‐time. Although radiological biomarkers are increasingly being considered as clinical indicators, biopsies are still considered the gold standard for a large variety of indications. Bioreactor systems can play an important role in biopsy examinations because of their ability to provide a physiochemical environment that is conducive for therapeutic response monitoring ex vivo. We demonstrate here a proof‐of‐concept bioreactor and microcoil receive array setup that allows for ex vivo preservation and metabolic NMR spectroscopy on up to three biopsy samples simultaneously, creating an easy‐to‐use and robust way to simultaneously run multisample carbon‐13 hyperpolarization experiments. Experiments using hyperpolarized [1‐13C]pyruvate on ML‐1 leukemic cells in the bioreactor setup were performed and the kinetic pyruvate‐to‐lactate rate constants (
) extracted. The coefficient of variation of the experimentally found
s for five repeated experiments was
. With this statistical power, treatment effects of 30%–40% change in lactate production could be easily differentiable with only a few hyperpolarization dissolutions on this setup. Furthermore, longitudinal experiments showed preservation of ML‐1 cells in the bioreactor setup for at least 6 h. Rat brain tissue slices were also seen to be preserved within the bioreactor for at least 1 h. This validation serves as the basis for further optimization and upscaling of the setup, which undoubtedly has huge potential in high‐throughput studies with various biomarkers and tissue types.