bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the optimal model for the evaluation of new power system investment projects based on the cloud model–DS evidence theory–TOPSIS method
Authors: Ma Shun , Chen Ming , Mei Shiyan 
Published: December 2023

AbstractConsidering that the traditional investment project evaluation system can no longer fully adapt to the characteristics of the new power system under the investment environment of the new power system, this study constructed a new power system investment project evaluation and optimization method based on the combination of the cloud model, evidence theory and the TOPSIS method. First, 16 evaluation indexes were considered based on four dimensions, namely green and low‐carbon, safe and reliable, flexible and intelligent, and economical and efficient, and the optimal evaluation index system of new power system investment projects was designed. Second, the normal cloud model was used to obtain the evaluation membership distribution of each index and turn it into evidence. Considering the conflicts between indicators and the combinational contradictions of traditional evidence theories, an improved DS evidence theory based on a game weight coefficient discount to reduce conflicting evidence was used to fuse the membership information of multiple indicators. On the basis of the evaluation results of each scheme, this study used the TOPSIS method to sort the advantages and disadvantages of each scheme. Finally, the project of planning and putting this model into operation in the 14th Five‐Year project database of a power grid enterprise was selected as an example to carry out empirical analysis, and the effectiveness and superiority of the proposed model were verified.
Forecasting CPI with multisource data: The value of media and internet information
Authors: Zheng Tingguo , Fan Xinyue , Jin Wei , Fang Kuangnan 
Published: December 2023

AbstractUsing a large Chinese news corpus and Internet search data, we conduct an in‐depth out‐of‐sample forecasting study of Consumer Price Index (CPI) with the monthly macroeconomic database. For this purpose, we combine penalized regression and mixed‐frequency data sampling (MIDAS) methods to deal with the mixed‐frequency and high‐dimensional problems. Then we measure the time‐varying contributions of data from different sources and industries via dynamic model averaging. The results show that different types of data all provide enhancement in CPI forecasting, and the inclusion of media and Internet data further improves CPI forecasts' accuracy and timeliness due to their thorough coverage and fast update. In particular, the importance of alternative data is highlighted when the economy experiencing downturn or high uncertainty.
Effect of wax separation on macro‐ and micro‐elements, phenolic compounds, pesticide residues, and toxic elements in propolis
Authors: Evran Eylul , Durakli‐Velioglu Serap , Velioglu Hasan Murat , Boyaci Ismail Hakki 
Published: December 2023

AbstractPropolis, a natural product with many biological activities, is a resinous material produced by honeybees. It contains not only valuable components but also some possible contaminants in varying amounts. Hence, this study aimed to examine how the process step of wax separation affects certain elements, pesticide residues, and phenolic compounds in propolis. Total phenolics, elements, and some pesticide residues were analyzed in the crude propolis (CP samples), wax portion (W samples), and remaining propolis fraction (PF samples) after wax separation. Total phenolics of the CP samples were determined in the range of 31.90–45.00 mg GAE g−1 sample, while those of the PF samples were in the range of 54.97–162.09 mg GAE g−1 sample. Loss/reduction values by means of wax separation for phenolics were calculated as 10.88% and 17.89%, respectively. Pb contents of all PF samples were low (0.232–1.520 mg kg−1), but it was also noteworthy that nearly 40% or even more of Cr, As, Cd, and Pb were removed by wax separation. Removal of significant amounts of carbendazim (38.09%–67.35%), metalaxyl (81.57%–72.67%), tebuconazole (65.99%–78.36%), and propargite (88.46%–83.05%) was also achieved. Wax separation enables the removal of toxic substances from crude propolis without causing huge losses in phenolic compounds.
Cluster analysis of flowcytometric immunophenotyping with extended T cell subsets in suspected immunodeficiency
Authors: Seitz Luca , Gaitan Daniel , Berkemeier Caroline M. , Berger Christoph T. , Recher Mike 
Published: December 2023

AbstractBackgroundPatients with immunodeficiencies commonly experience diagnostic delays resulting in morbidity. There is an unmet need to identify patients earlier, especially those with high risk for complications. Compared to immunoglobulin quantification and flowcytometric B cell subset analysis, expanded T cell subset analysis is rarely performed in the initial evaluation of patients with suspected immunodeficiency. The simultaneous interpretation of multiple immune variables, including lymphocyte subsets, is challenging.ObjectiveTo evaluate the diagnostic value of cluster analyses of immune variables in patients with suspected immunodeficiency.MethodsRetrospective analysis of 38 immune system variables, including seven B cell and sixteen T cell subpopulations, in 107 adult patients (73 with immunodeficiency, 34 without) evaluated at a tertiary outpatient immunology clinic. Correlation analyses of individual variables, k‐means cluster analysis with evaluation of the classification into “no immunodeficiency” versus “immunodeficiency” and visual analyses of hierarchical heatmaps were performed.ResultsBinary classification of patients into groups with and without immunodeficiency was correct in 54% of cases with the full data set and increased to 69% and 75% of cases, respectively, when only 16 variables with moderate (p < .05) or 7 variables with strong evidence (p < .01) for a difference between groups were included. In a cluster heatmap with all patients but only moderately differing variables and a heatmap with only immunodeficient patients restricted to T cell variables alone, segregation of most patients with common variable immunodeficiency and combined immunodeficiency was observed.ConclusionCluster analyses of immune variables, including detailed lymphocyte flowcytometry with T cell subpopulations, may support clinical decision making for suspected immunodeficiency in daily practice.
Increased gene expression of CCR6 and RORγt in peripheral blood cells of rheumatoid arthritis patients and their correlation with anti‐cyclic citrullinated peptide and disease activity
Authors: Roghani Seyed Askar , Lotfi Ramin , Soroush Masood Ghasemzade , Khorasanizadeh Ali , Feizollahi Parisa , Assar Shirin , Soufivand Parviz , Pournazari Mehran , Mohammadi Kish Zahra , Taghadosi Mahdi 
Published: December 2023

AbstractObjectivesThe significance of T helper 17 (Th17) cells in the pathogenesis of rheumatoid arthritis (RA) has recently been demonstrated in many studies. Retinoic acid receptor‐related orphan receptor γt (RORγt) is a transcription factor that is specifically involved in the generation of Th17 cells. Besides, the chemokine receptor CCR6, the receptor for CCL20, is characteristically expressed by these cells. Considering the pivotal roles of Th17 cells in RA pathogenesis, in this study, we assessed the gene expression of CCR6 and RORγt in the peripheral blood leukocytes of new case RA patients. Also, we evaluated their association with anticyclic citrullinated peptide (anti‐CCP) antibodies and disease activity.MethodsForty‐five new case RA patients and 45 healthy persons have been recruited in this investigation. The gene expression of CCR6 and RORγt was evaluated by quantitative real‐time PCR (qRT‐PCR), and anti‐CCP antibodies plasma levels were measured using the enzyme‐linked immunosorbent assay (ELISA) technique. Disease activity was measured according to the disease activity score‐28 (DAS‐28) formula.ResultsThe gene expression of CCR6 and RORγt increased remarkably in new case RA patients compared to healthy controls (p < .05 and p < .01, respectively). Moreover, there was a positive correlation between RORγt gene expression and parameters, including gene expression of CCR6 (p = .001, r = .461), plasma levels of CCL20 (p = .0009, r = .477), ESR (p = .004, r = .419), DAS‐28 (p = .006, r = .402), anti‐CCP (p = .019, r = .346), and RF (p = .001, r = .451). Also, CCR6 gene expression was positively associated with the DAS‐28 (p = .037, r = .310), plasma levels of anti‐CCP (p = .037, r = .312), and ESR (p = .029, r = .327).ConclusionIncreased gene expression of CCR6 and RORγt in peripheral blood leukocytes of new case RA patients may contribute to the exacerbation and pathogenesis of RA.
Psychometrics of psychosocial behavior items under age 6 years: Evidence from Nebraska, USA
Authors: Waldman Marcus R. , Raikes Abbie , Hepworth Katelyn , Black Maureen M. , Cavallera Vanessa , Dua Tarun , Janus Magdalena , Martin‐Herz Susanne P. , McCoy Dana C. , Weber Ann M. 
Published: December 2023

AbstractBecause healthy psychosocial development in the first years of life is critical to lifelong well‐being, governmental, and nongovernmental organizations are increasingly interested in monitoring psychosocial behaviors among populations of children. In response, the World Health Organization is developing the Global Scales of Early Development Psychosocial Form (GSED PF) to facilitate population‐level psychosocial monitoring. Once validated, the GSED PF will be an open‐access, caregiver‐reported measure of children's psychosocial behaviors that is appropriate for infants and young children. This study examines the psychometric validity evidence from 45 items under consideration for inclusion in the GSED PF. Using data from N = 836 Nebraskan (USA) children aged 180 days to 71 months, results indicate that scores from 44 of the 45 (98%) items exhibit positive evidence of validity and reliability. A bifactor model with one general factor and five specific factors best fit the data, exhibited strong reliability, and acceptable model fit. Criterion associations with known predictors of children's psychosocial behaviors were in the expected direction. These findings suggest that measurement of children's psychosocial behaviors may be feasible, at least in the United States. Data from more culturally and linguistically diverse settings is needed to assess these items for global monitoring.
Inhibition of NLRP3 inflammasome—A potential mechanistic therapeutic for treatment of polycystic ovary syndrome?
Authors: Chamanara Solmaz , Hozouri Vahid , Irandoost Elnaz 
Published: December 2023

AbstractThis review article explores the relationship between the NOD‐like receptor protein 3 (NLRP3) inflammasome and the risk of developing polycystic ovary syndrome (PCOS). The NLRP3 inflammasome, a fundamental element of the innate immune system, plays a crucial role in the production of proinflammatory mediators and pyroptosis, a type inflammatory cell death. We conducted a thorough search on scientific databases to gather relevant information on this topic, utilizing relevant keywords. The reviewed studies indicated a correlation between PCOS and a higher incidence of granulosa cell (GC) death and the presence of ovarian tissue fibrosis. NLRP3 inflammasome stimulation and subsequent pyroptosis in GCs play a significant role in the pathophysiology of PCOS. Active NLRP3 inflammasome is involved in the production of inflammatory mediators like interleukin‐1β (IL‐1β) and IL‐18, contributing to the development of PCOS, particularly in overweight patients. Therefore, inhibiting NLRP3 activation and pyroptosis could potentially offer novel therapeutic strategies for PCOS. Some limited studies have explored the use of agents with antioxidant and anti‐inflammatory properties, as well as gene therapy approaches, to target the NLRP3 and pyroptosis signaling pathways. This study overview the understanding of the relationship between NLRP3 inflammasome activation, pyroptosis, and PCOS. It highlights the potential of targeting the NLRP3 inflammasome as an approach for treating PCOS. Nonetheless, further research and clinical trials are imperative to validate these results and explore the effectiveness of NLRP3 inflammasome inhibition in the management of PCOS.
Reusing a residue from the juice industry: extraction of oil from passion fruit seeds and its incorporation into liposomes
Authors: Suzuki Rúbia Michele , Sérgi Gomes Maria Carolina , Sgorlon Juliana Guerra , Oliveira Defendi Rafael , Raimundini Aranha Ana Caroline , Sipoli Caroline Casagrande 
Published: December 2023

AbstractBACKGROUNDPassion fruit seeds are a residue of the pulp and juice production industry and have the potential to be used for the extraction of vegetable oil contained in them, which is rich in bioactive compounds. This work evaluated the extraction of oil using organic solvents (mixtures of hexane–ethanol–water and hexane–methanol–water) and the use of ethanol as an alternative to methanol, which is used in traditional methodologies. Several solvent mixtures were investigated to determine the condition that provides the highest oil yield. Subsequently, liposomes were produced using the ethanol injection method and the influence of oil addition on the physical–chemical characteristics of the nanoparticulated system was evaluated.RESULTS AND CONCLUSIONThe results showed that the highest oil yield was obtained using the mixture of hexane, ethanol and water, indicating the possibility of replacing methanol with a less toxic solvent. In addition, good results were obtained for the incorporation of lipids with passion fruit oil into liposomes, with the best conditions obtained being for lipid concentrations of 4.64 and 6.96 mmol L−1 with 10% and 17% of oil content, respectively. © 2023 Society of Chemical Industry (SCI).
Percentage of Pancreatic Cysts on MRI With a Pancreatic Carcinoma: Systematic Review and Meta‐Analysis
Authors: Elmi Nika , McEvoy David , McInnes Matthew D.F. , Alabousi Mostafa , Hecht Elizabeth M. , Luk Lyndon , Asghar Sunna , Jajodia Ankush , de Carvalho Tiago Lins , Warnica William J. , Zha Nanxi , Ullah Sadaf , van der Pol Christian B. 
Published: December 2023

BackgroundPancreatic cystic lesions (PCLs) are frequent on MRI and are thought to be associated with pancreatic adenocarcinoma (PDAC) necessitating long‐term surveillance based on older studies suffering from selection bias.PurposeTo establish the percentage of patients with PCLs on MRI with a present or future PDAC.Study TypeSystematic review, meta‐analysis.PopulationAdults with PCLs on MRI and a present or future diagnosis of PDAC were eligible. MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Scopus were searched to April 2022 (PROSPERO:CRD42022320502). Studies limited to PCLs not requiring surveillance, <100 patients, or those with a history/genetic risk of PDAC were excluded.Field Strength/Sequence≥1.5 T with ≥1 T2‐weighted sequence.AssessmentTwo investigators extracted data, with discrepancies resolved by a third. QUADAS‐2 assessed bias. PDAC was diagnosed using a composite reference standard.Statistical TestsA meta‐analysis of proportions was performed at the patient‐level with 95% confidence intervals (95% CI).ResultsEight studies with 1289 patients contributed to the percentage of patients with a present diagnosis of PDAC, and 10 studies with 3422 patients to the percentage with a future diagnosis. Of patients with PCLs on MRI, 14.8% (95% CI 2.4–34.9) had a PDAC at initial MRI, which decreased to 6.0% (2.2–11.3) for studies at low risk of bias. For patients without PDAC on initial MRI, 2.0% (1.1–3.2) developed PDAC during surveillance, similar for low risk of bias studies at 1.9% (0.7–3.6), with no clear trend of increased PDAC for longer surveillance durations. For patients without worrisome features or high‐risk stigmata, 0.9% (0.1–2.2) developed PDAC during surveillance. Of 10, eight studies had a median surveillance ≥3 years (range 3–157 months). Sources of bias included retrospectively limiting PCLs to those with histopathology and inconsistent surveillance protocols.Data ConclusionA low percentage of patients with PCLs on MRI develop PDAC while on surveillance. The first MRI revealing a PCL should be scrutinized for PDAC.Level of Evidence3Technical EfficacyStage 2
Outcomes of definitive local therapy with intensity‐modulated radiation therapy in elderly patients ≥70 years with HPV‐associated oropharyngeal cancer
Authors: Baliga Sujith , Yildiz Vedat , Barve Rahul , Farag Alexander , Bhateja Priyanka , Gogineni Emile , Mitchell Darrion , Konieczkowski David , Grecula John , Ma Sung Jun , Zhu Simeng , Liu Xuefeng , Bonomi Marcelo , Blakaj Dukagjin M. 
Published: December 2023

AbstractThe incidence of human papillomavirus (HPV) associated oropharyngeal squamous cell carcinoma (OPSCC) is increasing among elderly (≥70 years) patients and the optimal treatment approach is not known. In this study, we aimed to determine disease and toxicity outcomes in an elderly HPV‐OPSCC population primarily treated with a chemoradiation (CRT) approach. We identified 70 elderly HPV‐OPSCC patients who were treated with either surgery, radiotherapy, or CRT between 2011 and 2021. Time‐to‐event analysis for overall survival (OS), progression‐free survival (PFS), and local control (LC) were conducted using the Kaplan–Meier method. Univariate and multivariable cox regression models were used to estimate the hazard ratio associated with covariates. The median follow‐up for our cohort was 43.9 months. Of the 70 elderly patients, 55 (78.6%) receive CRT and 15 (22.4%) received RT alone. Two patients underwent TORS resection. Of the 55 patients treated with CRT, the most common systemic agents were weekly carboplatin/taxol (n = 18), cetuximab (n = 17), and weekly cisplatin (n = 11). The 5‐year OS, PFS, and LC were 57%, 52%, and 91%, respectively. On univariate analysis, Eastern Cooperative Oncology Group performance status and Charlson Comorbidity Index (CCI) were significant predictors of OS, while on multivariate analysis only CCI was a significant predictor of OS (p = 0.006). The rate of late peg tube dependency, osteoradionecrosis, and aspiration was 10%, 4%, and 4%, respectively. Definitive local therapy in elderly HPV‐OPSCC patients is associated with excellent LC and a low rate of late toxicities. Prospective studies are needed to further stratify subgroups of elderly patients who may benefit from aggressive definitive local therapy.
Hazelnut products traceability through combined isotope ratio mass spectrometry and multi‐elemental analysis
Authors: Sammarco Giuseppe , Rossi Mattia , Suman Michele , Cavanna Daniele , Viotto Laura , Pettenà Piero , Dall'Asta Chiara , Iacumin Paola 
Published: December 2023

AbstractBackgroundRaw and processed hazelnut commodities are often the subject of fraudulent geographical declarations. Italian products are the main target of these illegal activities as their quality is high and certified, and the prices are bigger. Isotope ratio mass spectrometry (IRMS) could play a key role in origin discrimination. The present study aims to assess the provenience of Italian hazelnuts, by analysing relative isotopic ratios of carbon and oxygen.ResultsMethod development is performed by evaluating samples' repeatability, reproducibility, and robustness. The results are reproducible and robust, having acceptable standard deviations. One‐way ANOVA demonstrates the significant statistical difference between Italian and non‐Italian samples. Furthermore, a data fusion approach, with inductively coupled plasma–optical emission spectroscopy (ICP‐OES) and inductively coupled plasma‐mass spectrometry (ICP‐MS), permitted to build multivariate statistical models to confirm the differences of geographical provenience. A design of experiment (DoE) is created to sample correctly, considering factors such as variety, processing, and peel percentage.ConclusionN = 96 hazelnut lots, from Italy, Turkey, Georgia, and Azerbaijan, are analysed for the geographical assessment: this strategy demonstrates promising potentialities, as food isotopic abundances reflect ground and climate‐related features, typical of precise locations.
Potential application of light emitting diodes to improve molecular, physiological, and growth responses in peppermint plant
Authors: Khazaei Mostafa , Rafiei Fariba , Sabzalian Mohammad R. , Houshmand Saadollah 
Published: December 2023

AbstractBackgroundClimate change and growing global population are driving forces that shift the agriculture from open fields to environmentally‐controlled confined systems. In such confined systems, plants are adapted to unique light spectra to achieve maximal qualitative and quantitative yields. In the present study, effects of five light spectra on morpho‐physiological and molecular attributes of peppermint were examined. Treatments included a traditional greenhouse considered as the control, a fluorescent light, and four types of light emitting diodes (LED): red, blue, red‐blue (70:30), and white. Leaf samples were collected from plants and analyzed for volatile constituents using a headspace GC–MS. Meanwhile, changes in the expression profile of genes involved in the biosynthesis of menthol were evaluated.ResultsOur results showed that maximal yield (wet and dry biomass) was achieved under greenhouse condition and the red‐blue LED. Application of the red‐blue LED resulted in maximal production of beneficial monoterpenes, which indicate superiority to greenhouse environment. A significant change in the gene expression profile was observed among plants grown under different light treatments. The red‐blue LED was associated with a significant up‐regulation of key genes in the menthol biosynthesis (menthol dehydrogenase and pulegone reductase). This phenomenon was consistent with a higher menthol production under the same condition.ConclusionThe application of red‐blue LED was associated with the highest level of yield and menthol production, whereas it resulted in lower concentrations of unfavorable by‐products (isomenthol, cis‐pulegone, and menthofuran). In conclusion, 70:30 red‐blue LED can be satisfactory applied to maximize growth yield and optimize favorable bioactive constituent in peppermint.
Artemisinins: Promising drug candidates for the treatment of autoimmune diseases
Authors: Gao Xu , Lin Xian , Wang Qingwen , Chen Jian 
Published: December 2023

AbstractAutoimmune diseases are characterized by the immune system's attack on one's own tissues which are highly diverse and diseases differ in severity, causing damage in virtually all human systems including connective tissue (e.g., rheumatoid arthritis), neurological system (e.g., multiple sclerosis) and digestive system (e.g., inflammatory bowel disease). Historically, treatments normally include pain‐killing medication, anti‐inflammatory drugs, corticosteroids, and immunosuppressant drugs. However, given the above characteristics, treatment of autoimmune diseases has always been a challenge. Artemisinin is a natural sesquiterpene lactone initially extracted and separated from Chinese medicine Artemisia annua L., which has a long history of curing malaria. Artemisinin's derivatives such as artesunate, dihydroartemisinin, artemether, artemisitene, and so forth, are a family of artemisinins with antimalarial activity. Over the past decades, accumulating evidence have indicated the promising therapeutic potential of artemisinins in autoimmune diseases. Herein, we systematically summarized the research regarding the immunoregulatory properties of artemisinins including artemisinin and its derivatives, discussing their potential therapeutic viability toward major autoimmune diseases and the underlying mechanisms. This review will provide new directions for basic research and clinical translational medicine of artemisinins.