bluuebunny/crossref_metadata_2025_split huggingface dataset:
Banter in psychotherapy: Relationship to treatment type, therapeutic alliance, and therapy outcome
Authors: Brooks Adrian B. J. , Baumann Andre W. , Huber Dorothea , Rabung Sven , Andreas Sylke 
Published: January 2023

AbstractIntroductionThe use of humor in psychotherapy is widely considered to improve therapy outcomes and typically depends on context, patient sensitivity, and the therapist's humor style. Different types of humor may impact treatment type, therapeutic alliance, and therapy outcome; however, evidence from psychotherapy sessions on the role of banter has been sparse to date. Therefore, the study aims to examine banter in a secondary analysis of psychotherapy sessions.MethodThe sample consisted of 68 depressed outpatients treated with one of three treatment types: psychoanalytic therapy (PA), psychodynamic therapy (PD), and cognitive‐behavioral therapy (CBT). Banter and therapeutic alliance were rated for therapy sessions taken from the middle phase of treatment, outcome was assessed at the end of treatment.ResultsThe main findings were (1) clinical examples of banter in psychotherapy were found in 62 from 68 sessions, (2) significantly more bantering in the main bantering category of facilitation for CBT sessions as compared to other treatment types, (3) facilitative banter as a significant predictor for the positive introject, (4) a significant correlation between bantering and bond between therapist and client. Furthermore, based on these results, psychometric properties of the Klagenfurt Bantering Instrument (KBI) are reported.ConclusionFrom a bantering perspective, this study emphasizes the need to consider session context, client response, and sarcastic markers when categorizing negative banter using the KBI.
Potential roles of NLRP3 inflammasome in the pathogenesis of Kawasaki disease
Authors: Shahi Abbas , Afzali Shima , Firoozi Zahra , Mohaghegh Poopak , Moravej Ali , Hosseinipour Ali , Bahmanyar Maryam , Mansoori Yaser 
Published: January 2023

AbstractThere is a heterogeneous group of rare illnesses that fall into the vasculitis category and are characterized mostly by blood vessel inflammation. Ischemia and disrupted blood flow will cause harm to the organs whose blood arteries become inflamed. Kawasaki disease (KD) is the most prevalent kind of vasculitis in children aged 5 years or younger. Because KD's cardiovascular problems might persist into adulthood, it is no longer thought of as a self‐limiting disease. KD is a systemic vasculitis with unknown initiating factors. Numerous factors, such as genetic predisposition and infectious pathogens, are implicated in the etiology of KD. As endothelial cell damage and inflammation can lead to coronary endothelial dysfunction in KD, some studies hypothesized the crucial role of pyroptosis in the pathogenesis of KD. Additionally, pyroptosis‐related proteins like caspase‐1, apoptosis‐associated speck‐like protein containing a CARD (ASC), proinflammatory cytokines like IL‐1 and IL‐18, lactic dehydrogenase, and Gasdermin D (GSDMD) have been found to be overexpressed in KD patients when compared to healthy controls. These occurrences may point to an involvement of inflammasomes and pyroptotic cell death in the etiology of KD and suggest potential treatment targets. Based on these shreds of evidence, in this review, we aim to focus on one of the well‐defined inflammasomes, NLRP3, and its role in the pathophysiology of KD.
Mobility of arsenic and vanadium in waterlogged calcareous soils due to addition of zeolite and manganese oxide amendments
Authors: Indraratne Srimathie P. , Attanayake Chammi P. , Kumaragamage Darshani , Amarawansha Geethani , Goltz Douglas M. , Applin Daniel M. 
Published: January 2023

AbstractAddition of manganese(IV) oxides (MnO2) and zeolite can affect the mobility of As and V in soils due to geochemical changes that have not been studied well in calcareous, flooded soils. This study evaluated the mobility of As and V in flooded soils surface‐amended with MnO2 or zeolite. A simulated summer flooding study was conducted for 8 weeks using intact soil columns from four calcareous soils. Redox potential was measured in soils, whereas pH, major cations, and As and V concentrations were measured biweekly in pore water and floodwater. Aqueous As and V species were modeled at 0, 4, and 8 weeks after flooding (WAF) using Visual MINTEQ modeling software with input parameters of redox potential, temperature, pH, total alkalinity, and concentrations of major cations and anions. Aqueous As concentrations were below the critical thresholds (<100 μg L−1), whereas aqueous V concentrations exceeded the threshold for sensitive aquatic species (2–80 μg L−1). MnO2‐amended soils were reduced to sub‐oxic levels, whereas zeolite‐amended and unamended soils were reduced to anoxic levels by 8 WAF. MnO2 decreased As and V mobilities, whereas zeolite had no effect on As but increased V mobility, compared to unamended soils. Arsenic mobility increased under anoxic conditions, and V mobility increased under oxic and alkaline pH conditions. Conversion of As(V) to As(III) and V(V) to V(IV) was regulated by MnO2 in flooded soils. MnO2 can be used as an amendment in immobilizing As and V, whereas the use of zeolite in flooded calcareous soils should be done cautiously.
Procoagulant factors and future risk of arterial cardiovascular disease in patients with prior venous thrombosis: A cohort study
Authors: Yap Eng Soo , Lijfering Willem M. , Timp Jasmijn F. , Rosendaal Frits R. , Cannegieter Suzanne C. , Scheres Luuk J. J. 
Published: January 2023

AbstractPatients with venous thrombosis (VT) are at increased risk of future arterial cardiovascular disease (CVD) (i.e., myocardial infarction, ischemic stroke or peripheral artery disease). We investigated whether shared risk factors for VT and CVD are associated with the levels of procoagulant factors (fibrinogen, factor VIII, and von Willebrand factor), and whether the relationship between these risk factors and subsequent CVD was mediated through these procoagulant factors in patients with VT. In a follow‐up study consisting of 4956 patients with VT, 2176 patients (44%) provided blood samples and were linked to the Dutch Hospital registry of Statistics Netherlands to identify hospital admissions or procedures for subsequent CVD. In total, 52 CVD events occurred over a follow‐up of 11,124 years, with an incidence rate of 4.7 per 1000 patient years (95% confidence intervals 3.5–6.1). Increasing age, male sex, smoking history, major illnesses, dyslipidemia, and impaired fasting glucose levels were associated with increased CVD risk. Procoagulant factor levels were also associated with CVD risk. When adjusted for these procoagulant factors, the association between the risk factors and CVD attenuated partially. This study provides evidence that procoagulant factors can partially explain the association between increased risks of subsequent CVD in patients with previous VT.
Antifungal activities of Bacillus velezensis FJAT‐52631 and its lipopeptides against anthracnose pathogen Colletotrichum acutatum
Authors: Deng Ying‐Jie , Chen Zheng , Ruan Chuan‐Qing , Xiao Rong‐Feng , Lian Heng‐Ping , Liu Bo , Chen Mei‐Chun , Wang Jie‐Ping 
Published: January 2023

AbstractThis study was aim at investigating antifungal activities of Bacillus velezensis FJAT‐52631 and its lipopeptides against Colletotrichum acutatum ex situ and in situ. The results showed that the strain FJAT‐52631 and its crude lipopeptides (10 mg/ml) exhibited strong inhibitory effects on growth of C. acutatum FJAT‐30256 with an inhibition rate of 75.3% and an inhibition zone diameter of 17.66 mm, respectively. Both the viable bacterial cultures and lipopeptides of FJAT‐52631 could delay the onset of loquat anthracnose by 1 day and lower the incidence of loquat anthracnose in situ. The whole cultures of B. velezensis FJAT‐52631 displayed a 50% biocontrol efficacy on loquat anthracnose at the fourth day after inoculation, but the crude lipopeptides not. The average lesion diameter of the whole‐culture treated group was 5.62 mm, which was smaller than that of control group (6.81 mm). All the three types of lipopeptides including iturin A, fengycin, and surfactin A secreted from the strain FJAT‐52631 exhibited antifungal activities. Among them, surfactin A displayed higher antifungal activity at a concentration of 1.25 mg/mL than other two lipopeptides even if at a concentration of 60 mg/mL. Thus, the results indicated that surfactin A produced by FJAT‐52631 played a major role in the biocontrol of the loquat anthracnose. Scanning electron microscopy (SEM) observation revealed the structural deformities in the mycelia of C. acutatum. The above results suggested that the antifungal lipopeptides from B. velezensis FJAT‐52631 would be potential in biocontrol against anthracnose disease of loquat caused by C. acutatum.
The structure, antioxidant activity, and stability of fish gelatin/chitooligosaccharide nanoparticles loaded with apple polyphenols
Authors: Chen Huimin , Lin Sheng , Wu Jiulin , Xu Yizhou , Cai Xixi , Wang Shaoyun 
Published: January 2023

AbstractBACKGROUNDApple polyphenols (APs) with multiple biological effects have attracted extensive attention due to their broad opportunities for application. However, the use of APs is hampered by their instability in the face of environmental changes. Designing efficient carriers to improve the bioavailability of APs is the key to solving these problems. In this study, gelatin‐chitooligosaccharide nanoparticles produced by the Maillard reaction (GCM) were fabricated to encapsulate AP, and the structure, antioxidant activity, and stability of the GMM‐AP nanoparticle system were evaluated.RESULTSThe results of endogenous fluorescence spectrum, Fourier‐transform infrared (FTIR) spectroscopy, X‐ray diffraction, and simultaneous thermal analysis confirmed structural changes and interactions between GCM and AP. Combination with GCM did not adversely affect the antioxidant properties of AP, and the GCM‐AP nanoparticles possessed superior temperature and storage stability. In comparison with fish gelatin‐apple polyphenol nanoparticles, the GCM‐AP nanoparticles were more stable at a wider pH range, and were more resistant to the electrostatic shielding effect of NaCl. After simulating gastric digestion, the particle size and polydispersity index (PDI) of GCM‐AP nanoparticles were almost unchanged.CONCLUSIONThe findings suggest that GCM nanoparticles loaded with AP could be used as good carriers with good antioxidant activity and stability. This study therefore provides a theoretical foundation for the development and industrial application of food functional factors. © 2023 Society of Chemical Industry.
Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review
Authors: Brar Amanpreet , Zhu Alice , Baciu Cristina , Sharma Divya , Xu Wei , Orchanian‐Cheff Ani , Wang Bo , Reimand Jüri , Grant Robert , Bhat Mamatha 
Published: January 2023

AbstractHepatocellular carcinoma (HCC) is a leading cause of cancer‐related mortality and morbidity worldwide. Machine learning (ML) tools have been developed in recent years to generate diagnostic and prognostic molecular biomarkers for this high‐fatality cancer. To delineate the landscape of ML in HCC, we performed a systematic search of Ovid Medline, Ovid Embase, Cochrane Database of Systematic Reviews (Ovid) and Cochrane CENTRAL (Ovid) to identify studies of HCC molecular biomarkers using ML strategies. In total, 75 studies met our inclusion criteria, 53 of which were pertinent to diagnosis of HCC and 22 of which were pertinent to prognostication of HCC. Genomic, transcriptomic, epigenomic, proteomic and metabolomic signatures were derived using various ML techniques (supervised, unsupervised and deep learning approaches) using serum, urine and tissue samples of HCC. The ML algorithms achieved a sensitivity of up to 95% for the diagnosis of HCC. Through pathway analysis of the signatures derived by ML tools, we identified regulators of epithelial‐mesenchymal transition and the cancer pathway Ras/Raf/MAPK as being particularly prognostic of HCC outcome. The application of ML to molecular data in HCC has thus far resulted in the generation of highly sensitive diagnostic and prognostic signatures. In future, development of ML algorithms that incorporate clinical, laboratory, alongside molecular features will be needed to fulfil the promise of personalized HCC diagnosis and treatment.
Boosting Degradation of Biodegradable Polymers
Authors: Bher Anibal , Cho Yujung , Auras Rafael 
Published: January 2023

AbstractBiodegradation of polymers in composting conditions is an alternative end‐of‐life (EoL) scenario for contaminated materials collected through the municipal solid waste management system, mainly when mechanical or chemical methods cannot be used to recycle them. Compostability certification requirements are time‐consuming and expensive. Therefore, approaches to accelerate the biodegradation of these polymers in simulated composting conditions can facilitate and speed up the evaluation and selection of potential compostable polymer alternatives and inform faster methods to biodegrade these polymers in real composting. This review highlights recent trends, challenges, and future strategies to accelerate biodegradation by modifying the polymer properties/structure and the compost environment. Both abiotic and biotic methods show potential for accelerating the biodegradation of biodegradable polymers. Abiotic methods, such as the incorporation of additives, reduction of molecular weight, reduction of size and reactive blending, are potentially the most straightforward, providing a level of technology that allows for easy adoption and adaptability. Novel methods, including the concept of self‐immolative and triggering the scission of polymer chains in specific conditions, are increasingly sought. In terms of biotic methods, dispersion/encapsulation of enzymes during the processing step, biostimulation of the environment, and bioaugmentation with specific microbial strains during the biodegradation process are promising to accelerate biodegradation.
Use of a neural network‐based prediction method to calculate the therapeutic dose in boron neutron capture therapy of patients with glioblastoma
Authors: Tian Feng , Zhao Sheng , Geng Changran , Guo Chang , Wu Renyao , Tang Xiaobin 
Published: January 2023

AbstractBackgroundBoron neutron capture therapy (BNCT) is a binary radiotherapy based on the10B(n, α)7Li capture reaction. Nonradioactive isotope10B atoms which selectively concentrated in tumor cells will react with low energy neutrons (mainly thermal neutrons) to produce secondary particles with high linear energy transfer, thus depositing dose in tumor cells. In clinical practice, an appropriate treatment plan needs to be set on the basis of the treatment planning system (TPS). Existing BNCT TPSs usually use the Monte Carlo method to determine the three‐dimensional (3D) therapeutic dose distribution, which often requires a lot of calculation time due to the complexity of simulating neutron transportation.PurposeA neural network‐based BNCT dose prediction method is proposed to achieve the rapid and accurate acquisition of BNCT 3D therapeutic dose distribution for patients with glioblastoma to solve the time‐consuming problem of BNCT dose calculation in clinic.MethodsThe clinical data of 122 patients with glioblastoma are collected. Eighteen patients are used as a test set, and the rest are used as a training set. The 3D‐UNET is constructed through the design optimization of input and output data sets based on radiation field information and patient CT information to enable the prediction of 3D dose distribution of BNCT.ResultsThe average mean absolute error of the predicted and simulated equivalent doses of each organ are all less than 1 Gy. For the dose to 95% of the GTV volume (D95), the relative deviation between predicted and simulated results are all less than 2%. The average 2 mm/2% gamma index is 89.67%, and the average 3 mm/3% gamma index is 96.78%. The calculation takes about 6 h to simulate the 3D therapeutic dose distribution of a patient with glioblastoma by Monte Carlo method using Intel Xeon E5‐2699 v4, whereas the time required by the method proposed in this study is almost less than 1 s using a Titan‐V graphics card.ConclusionsThis study proposes a 3D dose prediction method based on 3D‐UNET architecture in BNCT, and the feasibility of this method is demonstrated. Results indicate that the method can remarkably reduce the time required for calculation and ensure the accuracy of the predicted 3D therapeutic dose‐effect. This work is expected to promote the clinical development of BNCT in the future.
Applying graph theory to improve the quality of scientific evidence from textual information: Neural injuries after gynaecologic pelvic surgery for genital prolapse and urinary incontinence
Authors: Indraccolo Ugo , Losavio Ernesto , Carone Mauro 
Published: January 2023

AbstractAimsTo provide the overall rate for all types of neurologic iatrogenic injuries during urogynaecologic surgery from textual data.MethodsSystematic research focused on complications of gynaecologic surgery and neurologic injuries in abstracts. Keywords concerning complications (cluster A), unspecific; neurologic issues (cluster B); surgery (generic words) (cluster C); specific gynaecologic operations (cluster D); and specific gynaecologic operations for pelvic organ prolapse and urinary incontinence (cluster E) were extracted. Associations among clusters of keywords were assessed by using multiple runs of text‐mining software Semantic Brand Score (SBS, https://semanticbrandscore.com/#primary). Association scores were converted into probabilities. The rate of neurologic complications in urogynaecologic surgery was calculated (“a priori” probability) by applying Bayes' theorem. Textual estimates of neurological injuries in urogynaecologic surgery are 0.035554 (95% confidence intervals 0.019607−0.0515001; no quantitative data were found). To test if the probability calculated on textual information was the same as quantitative data reports (“a posteriori” probability), the rate of neurologic complication of all gynaecologic surgery was calculated using a meta‐analytics approach and was compared with the textual analysis value.ResultsThe rate of neurologic complications in gynaecologic surgery after meta‐analytic data synthesis has been 0.016489 (95% confidence intervals 0.012163−0.022320), which is equal to the textual estimate (0.016889, 95% confidence intervals 0.019607−0.051501). Therefore, 0.035554 is a reliable likelihood to observe a neurologic complication in urogynaecologic surgery.ConclusionIatrogenic nerve injuries in urogynaecologic surgery are higher than whole gynaecologic surgery. Text‐mining software SBS and probability conversion can provide reliable answers from overall scholars' opinions on unsolved clinical questions when better evidence is lacking.
Post‐therapy plasma concentrations of quetiapine in Taiwanese patients
Authors: Huang Cho‐Yin , Lin Yen‐Feng , Chen Chia‐Ru , Lin Shih‐Ku 
Published: January 2023

AbstractAimsQuetiapine is widely used to treat psychiatric disorders such as major depression, generalized anxiety disorder, dysthymic disorder, and insomnia other than schizophrenia and bipolar disorder. This study investigated the diagnostic distribution of quetiapine use in patients in a psychiatric hospital, the doses of quetiapine prescribed, and the plasma concentrations (Cps) of quetiapine and active metabolites.MethodsWe enrolled 107 patients who had been prescribed quetiapine for at least 4 weeks. Diagnoses, demographics, and concomitant medications were recorded. Blood sampling was performed in the morning, approximately 12 h after the before‐bed dose of quetiapine.ResultsDiagnoses comprised schizophrenia (n = 25), bipolar disorder (n = 51), major depression (n = 15), dysthymic disorder (n = 9), and others (n = 7). The daily dose (DD) of quetiapine ranged from 25 to 800 (175.9 ± 184.4) mg, with the mean Cp being 105.6 ± 215.3 ng/ml, with a mean Cps/DD ratio of 0.58 ± 0.55 ng/ml/mg. There was a moderate positive linear correlation between the dose and Cps of quetiapine (r = 0.60), and the interpatient variation in Cps/DD ratio was up to 26‐fold.ConclusionQuetiapine is used in various doses to treat many psychiatric disorders other than psychosis, and it is usually prescribed as a secondary antipsychotic for symptoms such as insomnia or agitation. A wide interpatient variation of the Cps/DD ratio was noticed. Patients of East Asian descent may exhibit a 50% to 100% increase in the Cps/DD ratio for quetiapine compared with patients of Western descent.
Registration of ‘Pembroke 2021’ soft red winter wheat
Authors: Van Sanford David A. , Clark Anthony J. , Bradley Carl , Brown‐Guedira Gina L. , Cowger Christina , Dong Yanhong , Baik Byung‐Kee 
Published: January 2023

AbstractKentucky's wheat (Triticum aestivum L.) crop is planted into a rotation in which corn (Zea mays L.) is followed by wheat, which is followed by double‐crop soybean [Glycine max (L.) Merr.]. The causal agent of Fusarium head blight (FHB), Fusarium graminearum Schwabe, overwinters in corn stubble; thus, the Kentucky wheat crop is always at risk for FHB. The preeminent goal of the University of Kentucky wheat breeding program is releasing FHB‐resistant winter wheat cultivars. ‘Pembroke 2021’ (Reg. no. CV‐1198, PI 701381) is an early‐maturing, semi‐dwarf, soft red winter wheat cultivar developed and released in 2020 by the Kentucky Agricultural Experiment Station for FHB resistance, high yield and test weight potential, and lodging resistance. Pembroke 2021, tested as KY 07C‐1145‐94‐12‐5, was developed from the cross ‘IL99‐15867’/B990081//KY97C‐0554‐04‐05. The pedigree of the KY parent is VA94‐54‐549/Roane//Kristy. Pembroke 2021 was named for the Pembroke silt loam soil series prevalent in the main wheat‐producing area of Kentucky. Pembroke 2021 was selected from F4:5 head rows using a modified bulk breeding method; selected rows carried the resistance allele at the following FHB resistance quantitative trait loci: 1B Jamestown, 1A Neuse, 4A Neuse, and 3B Massey. Pembroke 2021 was tested in Kentucky in multi‐location replicated yield trials, the Uniform Eastern Soft Red Winter Wheat Nursery, the Mason‐Dixon nursery, the Uniform Northern Winter Wheat Scab Nursery, and the Kentucky Wheat Variety Trial.