bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shear wave elastography of the breast—Immunohistopathology and molecular subtype comparisons
Authors: Clements Natalie N. , Doherty Colin S. 
Published: October 2024

AbstractIntroductionThis study evaluated the shear wave elastography (SWE) in kilopascals (kPa) and metres per second (m/s) of immunohistochemical (IHC) factors, molecular subtypes, and the relationship between Kiel‐67 (Ki67) and IHC factors to explore their prognostic significance in malignant breast cancer.MethodsThis single‐centre study included 303 patients with 405 solid breast lesions, biopsied and examined using B‐mode ultrasound and SWE. Elastography mean (Emean), maximum (Emax), and ratio (Eratio) variables in kPa and m/s were calculated for each lesion.ResultsAmong 405 samples, 114 malignant lesions were identified. In IHC comparisons, only the E ratio (m/s) showed a significant difference, with Ki67 high significantly greater than Ki67 low (p = 0.016). Molecular subtype comparisons using kPa and m/s values revealed significant differences in Emean and Emax (p < 0.05), with HER2+ subtypes showing the highest values. Correlation analyses showed a significant relationship between Ki67 and molecular subtypes for Eratio in both kPa and m/s (p < 0.05). Triple‐negative cytokeratin (CK5/6) positive was significantly greater than CK5/6 negative for Eratio in kPa (14.1 ± 3.9 vs. 7.9 ± 0.7, p = 0.029) and m/s (3.7 ± 0.5 vs. 2.8 ± 0.4, p = 0.021).ConclusionBoth kPa and m/s SWE variables identify similar yet slightly different results for prognostic IHC factors and molecular subtypes. Examining both kPa and m/s SWE variables may be useful as a non‐invasive method for predicting IHC factors and molecular subtypes to characterise breast lesions before biopsy or surgery.
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models
Authors: Zhou Xingcai , Zheng Haotian , Zhang Haoran , Huang Chao 
Published: October 2024

ABSTRACTA transfer learning for the large‐scale Gaussian graphical models (GGMs) is considered in a distributed architecture for fitting these target and auxiliary studies scattered across multiple sites. A distributed transfer learning algorithm, DisPower‐Trans‐CLIME, is proposed to learn the target GGMs by incorporating the data from similar and related auxiliary studies. The algorithm is communication efficient via the distributed power method for matrix decomposition. We show that DisPower‐Trans‐CLIME has a fast convergence rate comparable to the centred Trans‐CLIME algorithm. A debiased DisPower‐Trans‐CLIME is constructed and is proved to be element‐wise asymptotically normal for statistical inference. Thus, a multiple testing procedure is developed to detect edge of GGMs with false discovery rate (FDR) control. Extensive simulation experiments have been conducted to demonstrate superior numerical performance of our proposed learning algorithm on estimation and edge detection. It is also applied to infer the regional connection networks in brain regions of interest (ROIs) based on a target hospital site by leveraging the graph from multiple other hospital sites for autism spectrum disorder. We observe that the degrees of regional connectivity in the right brain are balanced, while the ones of the left brain region are extremely uneven because of the presence of multiple strong connections. However, the specific association, between the degrees of connectivity of these regions and ASD disease, is unknown.
Symptomatology and level of satisfaction in patients using the double‐J ureteral stent
Authors: Pereira João M. B. S. M. , Antunes Leonardo de O. , Santos Giovana M. , da Silva Maria C. L. G. , Maciel Gabriela C. , Rebachi Rafael S. , Maciel Luiz C. 
Published: October 2024

AbstractBackgroundUreteral stents are used as temporary or permanent drainage measures for intrinsic or extrinsic occlusions of the upper urinary tract. Their use can cause complications such as urinary symptoms, which consequently impact the quality of life. Therefore, the aim of this study was to analyze the symptoms and level of satisfaction of patients who used the double‐J ureteral stent.MethodsThis article is a cross‐sectional study involving 40 volunteers who had previously undergone a urological procedure that required the insertion of a double‐J ureteral stent. Subsequently, they consulted the urology outpatient clinic and answered a questionnaire designed by the authors.ResultsAccording to the results, the average age of the patients was 43 years old, 75% were female, and 42.5% reported comorbidities, with hypertension being the most prevalent. The wired double‐J ureteral stent was used in 72.5% of patients, and the average length of stay was 6 days. 95% of the patients had complaints related to the use of the double‐J ureteral stent, with colicky abdominal pain being the most frequent symptom (77.5%) and hematuria being the most common urinary symptom (65%), followed by dysuria (62.5%) and urgency (52.5%). Analysis of the level of satisfaction showed that 55% of patients were satisfied and 22.5% were dissatisfied. No statistical significance was found between the incidence of symptoms related to the double‐J ureteral stent and the groups analyzed.ConclusionThis study was able to highlight important features of the symptomatology of patients using the double‐J ureteral stent and the repercussions on satisfaction with its use. Furthermore, it was possible to concluded that the experience of using the double‐J ureteral stent was satisfactory for 55% of the patients.
Gut–Brain Axis and Neuroinflammation: The Role of Gut Permeability and the Kynurenine Pathway in Neurological Disorders
Authors: Kearns Rowan 
Published: October 2024

AbstractThe increasing prevalence of neurological disorders such as Alzheimer’s, Parkinson’s, and multiple sclerosis presents a significant global health challenge. Despite extensive research, the precise mechanisms underlying these conditions remain elusive, with current treatments primarily addressing symptoms rather than root causes. Emerging evidence suggests that gut permeability and the kynurenine pathway are involved in the pathogenesis of these neurological conditions, offering promising targets for novel therapeutic and preventive strategies. Gut permeability refers to the intestinal lining’s ability to selectively allow essential nutrients into the bloodstream while blocking harmful substances. Various factors, including poor diet, stress, infections, and genetic predispositions, can compromise gut integrity, leading to increased permeability. This condition facilitates the translocation of toxins and bacteria into systemic circulation, triggering widespread inflammation that impacts neurological health via the gut–brain axis. The gut–brain axis (GBA) is a complex communication network between the gut and the central nervous system. Dysbiosis, an imbalance in the gut microbiota, can increase gut permeability and systemic inflammation, exacerbating neuroinflammation—a key factor in neurological disorders. The kynurenine pathway, the primary route for tryptophan metabolism, is significantly implicated in this process. Dysregulation of the kynurenine pathway in the context of inflammation leads to the production of neurotoxic metabolites, such as quinolinic acid, which contribute to neuronal damage and the progression of neurological disorders. This narrative review highlights the potential and progress in understanding these mechanisms. Interventions targeting the kynurenine pathway and maintaining a balanced gut microbiota through diet, probiotics, and lifestyle modifications show promise in reducing neuroinflammation and supporting brain health. In addition, pharmacological approaches aimed at modulating the kynurenine pathway directly, such as inhibitors of indoleamine 2,3-dioxygenase, offer potential avenues for new treatments. Understanding and targeting these interconnected pathways are crucial for developing effective strategies to prevent and manage neurological disorders.
Graphical Abstract
Genome-wide association analysis revealed genetic markers linked to grain yield and yield related traits in finger millet grown in acidic soils
Authors: Brhane Haftom , Haileselassie Teklehaimanot , Tesfaye Kassahun , Lule Dagnachew , Abreha Kibrom B. , Hammenhag Cecilia , Ortiz Rodomiro , Geleta Mulatu 
Published: October 2024

Abstract
Aim
Soil acidity has a major impact on the finger millet yield and productivity as tolerant cultivars that perform well in acidic soils are limited. This study aimed at evaluating major finger millet phenotypic traits under acidic soils followed by identifying associated markers.

Method
A total of 288 finger millet genotypes were field evaluated for 8 major phenotypic traits including grain yield under acid soil conditions at two independent locations (Bako and Gute) in Ethiopia. In parallel, the same genotypes were subjected to genotyping-by-sequencing to generate single nucleotide polymorphism markers to be used in the association panel.

Results
Phenotypic data analysis revealed significant phenotypic variation in all the targeted traits among the studied genotypes. Genotypes Ec-100093, Ec-215803, and Ec-203322 were relatively high-yielding, whereas genotypes Ec-229721 and Ec-242110 had the lowest grain yield across the two locations. The broad-sense heritability of the traits ranged from 0.04 for the number of effective tillers (NET) to 0.78 for days to emergence (DE). The marker-trait association analysis revealed 23 SNP markers significantly associated with one or more traits. Among the 23 significant markers, one marker associated with DE, seven with days to heading (DH), four with days to maturity (DM), one with plant height (PH), two with number of fingers, two with ear length (EL), three with the number of effective tillers (NET) and three with grain yield (GY).

Conclusions
The identified novel markers associated with the targeted traits will potentially be useful for genomics-driven finger millet improvement in acidic soils.
Evaluation of the Effectiveness of a Group CBT-Based Intervention Aiming to Reduce Self-Stigma and Improve Recovery-Related Outcomes in People with Severe Mental Disorders: Randomised Controlled Trial
Authors: Frączek-Cendrowska Katarzyna , Świtaj Piotr , Stefaniak Izabela 
Published: October 2024

Abstract Self-stigma is a major barrier to personal and clinical recovery in people with mental illness. Although psychosocial interventions have been developed to reduce self-stigma, the exploration of group CBT-based interventions for hospitalised patients are less represented. The purpose of this trial is to investigate the effectiveness of a group CBT-based intervention aiming to reduce self-stigma and improve recovery-related outcomes such as self-esteem, stigma resistance and sense of coherence, which comes down to saying, “I am what I am”. A total of 104 patients admitted to the inpatient therapy were recruited to participate in a randomised controlled clinical trial, and 77 participants (46 in the intervention group and 31 in the control group) completed the trial. Constructs of interest were measured before and after the intervention. The results showed that the evaluated intervention was effective in improving sense of coherence and stigma resistance, compared to treatment as usual (TAU). The level of self-stigma significantly decreased in both the intervention and control groups, but no statistically significant difference was observed between the groups. The limitations of the study include: the lack of assessment of the sustainability of the effects of therapy (follow-up), the presence of intensive interventions of the ward’s programme and patients pre-qualified for the ward based on admission criteria. The intervention “I am what I am,” has proven to be effective, especially in increasing the level of personal resources needed to build clinical and personal recovery and to counteract the negative consequences of self-stigma.
The Concept of Using 3D Printing Technology in Ceramic Foundry Filter Manufacturing
Authors: Kwiatkowski Maciej , Przybyła Szymon , Kwiatkowski Michał , Hebda Marek 
Published: October 2024

AbstractThe article presents the concept of using 3D printing technology in ceramic foundry filter manufacturing. They are a crucial component for obtaining an acceptable quality of nickel superalloys by carrying out the process using the precision casting method. Commonly used filters of this type have a number of disadvantages. They are characterized by irregularity of the filtering structure, high brittleness, lack of resistance to mechanical shocks, and impacts of a stream of liquid metal. All these factors create a risk of introducing the material from the damaged filter into the casting mold, which translates into contamination of the casting alloy, and thus the occurrence of casting defects such as nonmetallic inclusions. The hope for a change in this state of affairs is the use of additive manufacturing technology in their production, which by assumption will allow to obtain a product with a repeatable shape, high mechanical resistance, and a specially designed structure regulating the flow of liquid metal into the mold during casting. The suitability of robocasting and binder jetting technology for producing filtration structures was initially assessed. The results have presented the selection of ceramic powder, as well as the development of the composition of the ceramic paste. The parameters of paste preparation and 3D printing individual processes were described. Moreover, the representative microstructures and basic mechanical properties of samples obtained by both of the compared technologies were presented. Furthermore, the final effect of prototype casting filters with a repeatable shape, manufactured with the use of both technologies, was presented, which were transferred for further technological research in a foundry producing critical aircraft engine parts. The possibilities of using each technology in various applications were also discussed.
Effect of osmotic dehydration and gamma irradiation on quality characteristics of dried vegetable slices
Authors: Hassan Naglaa A. A. , Mousa Esraa A. M. , Elbassiony Khalid R. A. , Ali Maha I.K. 
Published: October 2024

AbstractOsmotic drying is commonly utilized to create innovative products, as it can improve the sensory and nutritional qualities of the final products. The present study aims to investigate the effect of different osmotic solutions, including soaking in 1% citric acid, 10% NaCl, and a combination of 1% citric acid and 10% NaCl, as well as different doses of gamma irradiation (1 and 3 kGy), on the quality properties of dehydrated vegetable slices. The chemical composition, mineral content, Color measurement, texture profile, vitamin C levels, and sensory attributes were evaluated for dried vegetable slices. The findings showed that treating vegetable slices with a combination of 1% citric acid and 10% NaCl increased ash (3.43–4.34%), hardness, and total phenolic content (38.37–117.04 mg GAE/100 g). It was the most preferred by the panelists in sensory evaluation scores in comparison to the other treatments. Moreover, there were no significant differences in terms of chemical composition, mineral content, and texture profile analysis between irradiation doses of 1 and 3 kGy. Furthermore, samples irradiated at 1 kGy had significantly higher scores in sensory evaluation compared to both irradiated and unirradiated samples. The current study recommends treating vegetable slices with a combination of 1% citric acid and 10% NaCl before drying to enhance most of the quality attributes of the dried vegetable slices.
Relationship between voice impairment and stress coping styles in professionally active teachers
Authors: Nawrocka Lidia , Garstecka Agnieszka , Mackiewicz-Nartowicz Hanna , Kozakiewicz-Rutkowska Agata , Burduk Paweł , Sinkiewicz Anna 
Published: October 2024

Abstract

Background and aim
The cause of voice problems in teachers are excessive voice strain, improper voice emission, and wrong emotional responses to occupational stress. The aim of the study was to analyze the relationship between subjective voice assessment of professionally active teachers treated for voice disorders and their stress-coping styles.

Methods
The study included 174 female teachers participating in a 24-day voice rehabilitation program at a sanatorium hospital. The Voice Handicap Index (VHI) self-assessment questionnaire was used to subjectively assess voice impairment. The Coping Inventory for Stressful Situations (CISS) questionnaire was used to assess coping styles. The VHI and CISS questionnaires were administered to the teachers at the beginning of the rehabilitation stay.

Results
Emotion-focused coping was shown to be associated with the subjective assessment of voice dysfunction as assessed by the VHI questionnaire for the total score and all of its dimensions (p = 0.04).

Conclusions
In addition to proper voice emission, the prevention and rehabilitation of occupational voice disorders in teachers should also include stress management techniques, as this can help reduce the incidence of functional voice disorders in this occupational group.
Models of Variability in Probabilistic Causal Judgments
Authors: Kolvoort Ivar , Davis Zachary J. , Rehder Bob , van Maanen Leendert 
Published: October 2024

AbstractMost theories of causal reasoning aim to explain the central tendency of causal judgments. However, experimental studies show that causal judgments are quite variable. In this article, we report the results of an experiment using a novel repeated measures design that demonstrate the existence of meaningful (i.e., not noise-related) within-participant variability. Next, we introduce and assess multiple computational cognitive models that serve as potential accounts of the sources of variability and fit those models to the new empirical data. We find that the Bayesian Mutation Sampler has the best fit to the data and is able to account for a number of unusual features of the response distributions (e.g., bi-modality), supporting the view that the stochastic sampling mechanism it posits reflects the cognitive processes via which people draw causal inferences. Additionally, our findings suggest that incorporating ‘non-reasoning’ processes, such as rounding and guessing, can improve the ability of models of causal reasoning to account for the observed response distributions. Overall, the study highlights the potential of computational modeling of full response distributions to shed light on the underlying mechanisms of human causal reasoning and identifies promising directions for future research.
A Robust numerical technique based on the chromatic polynomials for the European options regulated by the time-fractional Black–Scholes equation
Authors: Nirmala A. N. , Kumbinarasaiah S. 
Published: October 2024

AbstractRisk mitigation and control are critical for investors in the finance sector. Purchasing significant instruments that eliminate the risk of price fluctuation helps investors manage these risks. In theory and practice, option pricing is a substantial issue among many financial derivatives. In this scenario, most investors adopt the Black–Scholes model to describe the behavior of the underlying asset in option pricing. The exceptional memory effect prevalent in fractional derivatives makes it easy to understand and explain the approximation of financial options in terms of their inherited characteristics prompted by the given reason. Finding numerical solutions that are both successful and suitably precise is crucial when working with financial fractional differential equations. Hence, this paper proposes an innovative method, designated the Chromatic polynomial collocation method (CPM), for the theoretical study of the Time fractional Black–Scholes equation (TFBSE) that regulates European call options. The newly developed numerical algorithm CPM is on a functional basis of the Chromatic polynomials of Complete graphs (Kn) and operational matrices of the basis polynomials. The CPM transforms the TFBSE into a framework of nonlinear algebraic equations with the help of operational matrices and equispaced collocation points. The fractional orders in the PDE are concerned in the Caputo sense. The CPM findings further corroborate the results of the most recent numerical schemes to show the effectiveness of the suggested numerical algorithm.
Lemierre syndrome due to Klebsiella pneumoniae: a rare case report with review of literature
Authors: Rangan N. Mohan , Singh Anup Kumar , Yadav Rekha C. , Roy Indranil Deb , Tomar Kapil , Singh Neha , R Vasanthanarayanan 
Published: October 2024

AbstractLemierre’s syndrome, a forgotten clinical entity, is characterised by septic thrombophlebitis of the internal jugular vein due to oropharyngeal infection. In the past, it was mainly associated withFusobacterium necrophoruminfections. We present a unique case report of Lemierre’s syndrome due toKlebsiella pneumoniae. Patient reported with progressive swelling involving right side of the neck that eventually increased in size. After confirming the diagnosis through CECT, patient was managed through combined medical and surgical therapy in the form of incision and drainage, targeted antibiotic therapy, glycaemic control and anticoagulation therapy. This case report highlights the association of poor glycaemic control in the pathogenesis and the isolation ofKlebsiella pneumoniaeas the rare organism of Lemierre’s syndrome.
Epitranscriptomics and cervical cancer: the emerging role of m6A, m5C and m1A RNA modifications
Authors: Modi Akshat D. , Zahid Hira , Southerland Ashlyn Chase , Modi Dharmeshkumar M. 
Published: October 2024

Abstract
Cervical cancer (CC), one of the most prevalent and detrimental gynaecologic cancers, evolves through genetic and epigenetic alterations resulting in the promotion of oncogenic activity and dysfunction of tumour-suppressing mechanisms. Despite medical advancement, the prognosis for advanced-stage patients remains extremely low due to high recurrence rates and resistance to existing treatments. Thereby, the search for potential prognostic biomarkers is heightened to unravel new modalities of CC pathogenesis and to develop novel anti-cancer therapies. Epitranscriptomic modifications, reversible epigenetic RNA modifications, regulate various biological processes by deciding RNA fate to mediating RNA interactions. This narrative review provides insight into the cellular and molecular roles of endogenous RNA-editing proteins and their associated epitranscriptomic modifications, especially N6-methyladenosine (m6A), 5-methylcytosine (m5C) and N1-methyladenosine (m1A), in governing the development, progression and metastasis of CC. We discussed the in-depth epitranscriptomic mechanisms underlying the regulation of over 50 RNAs responsible for tumorigenesis, proliferation, migration, invasion, survival, autophagy, stemness, epithelial-mesenchymal transition, metabolism (glucose, lipid, glutamate and glutamine), resistance (drug and radiation), angiogenesis and recurrence of CC. Additionally, we provided a concise overview of the therapeutic potential of targeting the altered expression of endogenous RNA-editing proteins and aberrant deposition of RNA modifications on both coding and non-coding RNAs in CC.