bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of pyrocatechol, a coffee ingredient that exerts antineuroinflammatory effects by inhibiting NF-kappaB
Authors: Murata Taisuke , Tago Kenji , Miyata Kota , Moriwaki Yasuhiro , Misawa Hidemi , Kobata Kenji , Nakazawa Yosuke , Tamura Hiroomi , Funakoshi-Tago Megumi 
Published: November 2022

AbstractAlthough epidemiological studies have suggested that the frequency of coffee consumption negatively correlates with the incidence of neurodegenerative diseases, its causality based on molecular mechanisms remains unclear. Since neuroinflammation is closely associated with the pathogenesis of neurodegenerative diseases, we hypothesized that the consumption of coffee prevents the onset of neurodegenerative diseases by suppressing neuroinflammation. Coffee and decaffeinated coffee decoctions significantly attenuated the lipopolysaccharide (LPS)-induced production of nitric oxide by inhibiting the expression of inducible nitric oxide synthase (iNOS) in the murine microglia cell line, BV-2. Both decoctions also attenuated the LPS-induced expression of pro-inflammatory cytokines and chemokines, such as interleukin (IL)-6, tumor necrosis factor (TNF) α, CCL2, and CXCL1, in BV-2 cells. In addition, both decoctions inhibited the LPS-induced nuclear translocation and transcriptional activation of nuclear factor-κB (NF-κB), a major transcription factor in inflammation, suggesting that coffee ingredients other than caffeine prevent neuroinflammation by inhibiting NF-κB. Pyrocatechol, a component of roasted coffee produced by the thermal decomposition of chlorogenic acid, exhibited anti-inflammatory activity by inhibiting the LPS-induced activation of NF-κB, similar to the coffee decoctions. The intake of pyrocatechol also significantly inhibited the accumulation of microglia and the expression of iNOS, IL-6, TNFα, CCL2, and CXCL1 in murine brains injected with LPS, similar to the coffee decoctions. These results indicate that the anti-inflammatory activity of pyrocatechol contributes to the suppressive effects of coffee on the onset of neurodegenerative diseases.
Electrodeposition of cadmium selenide based photoanodes from TOMAC/Formamide ionic liquid for photoelectrochemical applications
Authors: Litaiem Yousra , Dridi Donia , Slimi Bechir , Chtourou Radhouane 
Published: November 2022

Abstract
The electrodeposition from Room Temperature Ionic Liquids (RTILs) has recently come up as a low-cost technique for the growth of II-VI semiconductor compounds and thin films, some promising alternatives to classical organic or inorganic solvents. As a relatively new field of studies, only a few reports exist describing the growth mechanism of electrodeposition from RTILs, especially for CdSe films. In this paper, a new electrochemical method has been developed for the deposition of Cadmium Selenide thin layers onto indium doped tin oxide coated conducting glass (ITO) using a RTIL and an Organic solvent system (Tricaprylmethylammonium chloride /Formamide). Structural properties of prepared films have been investigated by X-ray diffraction (XRD) and micro-Raman analysis which reveal a pure cubic phase with the zinc-blende type structure and typical peaks of nanostructured CdSe respectively. Atomic force microscopy (AFM) analysis showed homogenous and smooth surface of the deposited films. UV-vis measurements demonstrated the presence of direct transition with a band gap energy around 1.68 eV. The flat-band potential and carrier density values of CdSe thin film are − 0.667 V and 6.13 ×1016 cm− 3 respectively as deduced from Mott-Schottky studies. The photoelectrochemical (PEC) behavior of the CdSe thin film exhibited an enhanced photocurrent density at about 0.35 mA/cm2 vs. Ag/AgCl.
FLT3 inhibitors upregulate CXCR4 and E-selectin ligands through suppression of ERK in AML and combined inhibition of CXCR4/E-selectin enhances anti-leukemia efficacy of FLT3-targeted therapy
Authors: Jia Yannan , Zhang Weiguo , Basyal Mahesh , Chang Kyung Hee , Ostermann Lauren , Burks Jared , Ly Charlie , Mu-Mosley Hong , Zhang Qi , Xin Han , Fogler William , Magnani John , Lesegretain Arnaud , Zal Anna , Zal Tomasz , Andreeff Michael 
Published: November 2022

Abstract
CXC chemokine receptor 4 (CXCR4)/CXC motif ligand 12 (CXCL12) and E-(endothelial)-selectin/E-selectin ligands (E-selectin-L) axes play critical roles in leukemia cell homing to the bone marrow niche and are closely associated with resistance to FLT3-targeted therapy in FLT3-mutant acute myeloid leukemia (AML) patients. Hence, it is imperative to co-target CXCR4/E-selectin/FLT3 in FLT3 mutant AML. Herein, we determined whether FLT3 inhibition modulates CXCR4/E-selectin-L levels and whether co-targeting CXCR4/E-selectin enhances the anti-leukemia effects and reduces bone marrow niche-mediated resistance in FLT3-targeted therapy. Our results demonstrate that CXCR4/E-selectin-L are transcriptionally upregulated by FLT3 inhibition. Concomitant blockage of CXCR4/E-selectin with the dual inhibitor GMI-1359 disrupts leukemia cell homing and migration to bone marrow niches. Combination treatment with GMI-1359 and quizartinib significantly reduced leukemia cell burden and extended mouse survival in a patient derived xenograft AML mouse model. These findings provide pre-clinical rationale for combined CXCR4/E-selectin/FLT3 targeting in FLT3-mutant AML.
Reduction of toxic organic dyes in aqueous media using N-heterocyclic copper(II) complex immobilized on the beta-cyclodextrin-modified Fe 3 O 4 nanoparticles as a magnetically recyclable catalyst
Authors: Lighvan Zohreh Mehri , Khonakdar Hossein Ali , Khodadadi Bahar , Rafie Mina , Ramezanpour Azar , Heydari Abolfazl , Pirani Sara , akbari ali 
Published: November 2022

Abstract
Water supplies have been jeopardized owing to increased population and industrial activity. Azo dyes are regarded as hazardous substances, e.g. p-nitrophenol, causing cancer in animals as well as redox-related toxicity in diverse tissues. In this regard, adsorption process alone is not sufficient to treat wastewaters including extra types of pollution merely in a single step. With the purpose of declining azo-based contaminations in nontoxic species of wastewater, this paper proposed a novel functionalized iron oxide nanoadsorbent (Fe3O4@CM-β-CDP@Tet-Cu(II)) ,synthesized by combining the benefits of magnetic nanoparticles, carboxymethyl-β-cyclodextrin, and N-heterocyclic cupper complex. Different techniques were employed to distinguish catalyst morphology and structure. Moreover, at room temperature, with moderate and safe reducing agents (NaBH4), the nanocatalyst was exploited with the purpose of diminishing organic dyes such as p-nitrophenol, Eosin Y, Rhodamine B, Congo red, and Methyl orange. A simple and readily available method was employed to record such reduction: UV-vis spectroscopy. Results revealed considerable catalytic activity of Fe3O4@CM-β-CDP@Tet-Cu (II) besides remarkable reduction rate in the course of limited reaction time, in particular for Methyl orange dye. It is noteworthy that the catalytic activity of the nanocomposite did not suffer any notable losses despite being recovered and re-used five times. Through the use of an external magnet, such nanocomposites can be simply isolated from water environments and thereafter be exploited for organic catalytic reduction and wastewater treatment on a large scale.
Unravelling the role of nickel doping on the physical properties of CuO thin films deposited by Spray Pyrolysis and theoretical analysis of nanostructured ZnO/Ni:CuO-based heterojunction solar cells
Authors: DAOUDI Othmane , JELLAL Ilyass , HADDOUT Assiya , ZIMOU Jamal , KHOUJA Outman EL , NOUNEH Khalid , LHARCH Mohammed , FAHOUME Mounir 
Published: November 2022

Abstract
Whereas solar photovoltaic cells are promising for proper power production,their wide deployment is hampered by production costs, material availability and toxicity. One of these materials is CuO, which has great chemical stability as well as interesting physical properties, including a direct band gap, a high absorption coef cient, and p-type conductivity. These properties indicate CuO as an exciting semiconducting material to use an absorber layer in thin lms solar cells. For this speci c reason, this paper focuses on the synthesis of undoped and Ni-doped CuO thin lms by spray pyroly- sis process. Several techniques such as; X-ray diffraction (XRD), Raman spectroscopy, Scanning Electron Microscopy (SEM), Energy dispersive X-ray (EDX) and UV-Visible spectroscopy have been employed to characterize the synthesized samples. The XRD analysis indicated the formation of polycrystalline CuO thin lms and the average crystallite size was decreased from 35 to 20 nm for the samples with x = 0 to 8 at%, respectively. Furthermore, Raman spectroscopy also con rms the single-phase formation of CuO lms. The SEM images demonstrated that the incorporation of Ni in the CuO matrix improved the lms surface. The EDX analysis and the elemental mapping belay the homogeneous distribution of the elements. Moreover, UV-Visible spectroscopy has shown a signi cant expansion in optical energy band gap from 1.45 to 1.53 eV with an increase of Ni concentration. On the other hand, to investigate the impact of Ni-doped CuO on nanos- tructure Ni:CuO/ ZnO-NRs heterojunction solar cell performance, SCAPS-1D software is used. It has been found that, 8% Ni:CuO layer has been revealed as better for nanostructured solar cells. The results of this contribution will provide some vital guidelines for fabricating higher-ef ciency solar cells.
The effects of PD-1/PD-L1 expression on the prognosis of lymphoma: A protocol for systematic review and meta-analysis
Authors: mao qiyuan , Liu Lanchun , Zhang Chuchu , Chen Zehui , Li Xue , Liu Yi , Yin Bingyi , Cai Ruijuan , Yuan Surui , Li Daorui , Lin Hongsheng 
Published: November 2022

Abstract
Background: Lymphoma is a malignant tumor with a high incidence. Most radiotherapy and chemotherapy cannot prolong survival significantly. In recent years, with the discovery of immune checkpoint programmed cell death 1/programmed cell death ligand 1(PD-1/PD-L1) and the use of immunotherapy, the survival of lymphoma patients has been improved to some extent. However, there is no systematic review to elucidate the relationship between PD-1/PD-L1 expression and lymphoma prognosis.
Methods: A comprehensive search is conducted on MEDLINE, Embase, Web of Science and Cochrane Library using a completed search strategy from database inception until 1 November 2022. Randomised controlled trials will be considered for inclusion. The Newcastle-Ottawa Quality Assessment Scale (NOS) or the Cochrane Collaboration’s tool for assessing risk of bias will be used to access the methodological quality of included studies, and GRADE will be used to assess the evidence quality of outcomes. All analyses are performed by Stata 16.0. The results will systematically summarize and display the currently collected evidence on the relationship between the expression of PD-1/PD-L1 and the prognosis of lymphoma. It may play a certain role in the prognosis of lymphoma patients based on PD-1/PD-L1 expression levels, and prompt clinicians to formulate necessary treatment or prevention plans as soon as possible.
Discussion: Although immunotherapy has achieved acceptable efficacy in lymphoma, the level of PD-1/PD-L1 expression is controversial with the prognosis of lymphoma according to the results of current randomized controlled clinical trials. The purpose of this systematic review was to evaluate the relationship between the expression of PD-1/PD-L1 and the prognosis of lymphoma, so as to balance the advantages and disadvantages of individualized treatment for lymphoma patients.
Systematic review registration: PROSPERO CRD42020163963.
The Contamination of Some Heavy Metals in Sediment and Influence of Organic Matter: Case study in Mangrove Forest Zone along the Coastal Area of Chanthaburi Province, the Eastern Gulf of Thailand
Authors: Mekprayoon Sutthinee , Potipat Jakkapan , Kunsook Chutapa 
Published: November 2022

Abstract
The determinations of zinc, copper, lead, cadmium, and organic matters (OM) in sediment along the coastal area of Chanthaburi Province, the Eastern Gulf of Thailand from 12 stations was conducted during the dry season (March 2021) and the wet season (September 2022). The quantity of heavy metals accumulated in sediment during the dry and wet season was Zn > Cu > Pb > Cd. The results showed that the average heavy metal concentration in the dry season was significantly higher than that in the wet season due to the low run off in the dry season resulting in increasing precipitation and accumulation processes. The results of the geoaccumulation index (Igeo) and enrichment factor (EF) values of the heavy metals content in the sediments indicated that the conservation area was unpolluted and not enriched, respectively.
Investigation of Shear Strength of Sand-Bentonite Mixtures with Boron Additives at High Temperature for Energy Geo-Structures
Authors: Alpaydin Sukran Gizem , Yukselen-Aksoy Yeliz 
Published: November 2022

Abstract
The soils surrounding energy geo-structures are exposed to high temperatures and temperature cycles. Changes in the engineering properties of soils should be investigated under thermal effects and soils that are highly durable against temperature changes are needed for thermo-active geo-structures. Generally, bentonite or sand-bentonite mixtures (SBMs) are preferred as natural barrier soil materials. Hence, the engineering properties of these natural soil materials against high temperatures should be improved. Boron, which has high thermal resistivity, reduces the heat expansion of materials, when added to soils may increase the durability of buffer materials at high temperatures. In the present study, the effects of tincal and ulexite additives were observed on the shear strength behaviour of SBMs at 80°C and room temperature. The general results showed that with the contribution of boron, the shear strength of the SBMs increased with increasing temperature. The effect was more pronounced for 20% SBMs at high temperature. Tincal and ulexite can be used to increase the shear strength of SBMs at high temperatures.
Comparative studies on intracellular invertase from an hyperproducer (Abagboro yeast) and a commercial yeast (Saccharomyces carlsbergensis)
Authors: Osiebe Oghenesivwe , Adewale Isaac Olusanjo , Omafuvbe Bridget Okiemute 
Published: November 2022

Abstract
The ability of yeast to secrete intracellular and extracellular forms of invertase has been demonstrated by studies, however not much research has focused on intracellular invertase. Here we report the biochemical and chromatographic properties of intracellular invertase from invertase hyperproducer obtained from Abagboro village, Ile-Ife, Nigeria and compared it with that from a brewery which had been commercially selected. Saccharomyces cerevisiae and Saccharomyces carlsbergensis were isolated from fresh palm wine obtained from Abagboro village, Ile-Ife and from green beer obtained from a local brewery, respectively. Isolates were grown on liquefied cassava-soy bean mash for 72 hours. Yeast biomass harvested was homogenized to obtain crude intracellular invertase and purified by chromatographic techniques. Physicochemical properties and kinetic parameters (Km and Vmax) of the enzymes was studied. Native and subunit molecular weights of purified invertase from an hyperproducer (Saccharomyces cerevisiae) and brewer’s yeast (Saccharomyces carlsbergensis) were 118.3 kDa and 113.38 ± 4.9 kDa; 39.12 ± 1.2 kDa and 39.34 ± 1.71 kDa, respectively. Invertase was stable for 1 hour at 50 oC, with optimum temperature of 50 oC and 55 oC for Saccharomyces cerevisiae and Saccharomyces carlsbergensis, while their activation energies were 36.225 ± 4.015 kJmol− 1 and 33.06 ± 1.810 kJmol− 1 respectively. Invertase from Saccharomyces cerevisiae and Saccharomyces carlsbergensis had optimum activity at pH 5.0 and 4.0 respectively. Both enzymes utilized similar substrates with highest affinities for sucrose. The newly identified intracellular invertase from Abagboro yeast share similar physicochemical properties with that from commercial yeast (Saccharomyces carlsbergensis).
The magnitude threshold and missing and pseudo links in Markov chains
Authors: Nava Fidencio Alejandro , Gutiérrez Quiriat Jearim 
Published: November 2022

AbstractA crisp step function is not an adequate threshold for studies of Markovian occurrence of large earthquakes, because it can lead to missing or pseudo links in an observed sequence that should be a Markov chain. A more realistic threshold is a fuzzy one where there is a magnitude band, located between those magnitudes that are too small for the earthquakes to be part of a Markovian process and those who are certainly large enough for the earthquakes to be part of it, where earthquakes may or may not be part of the process. This fuzzy threshold is described by a membership function that gives the probability of an earthquake with a given magnitude belonging to the process. We propose a counting strategy to evaluate the empirical transition probabilities when considering a fuzzy magnitude threshold, and justify it through Monte Carlo simulations. We also propose a membership function with probabilities in the transition band proportional to the seismic moment, and apply it to data from a seismic study of the Japan area. By comparing the results of three Markovianity measures for the observed data with those of Monte Carlo simulations, we find that a fuzzy threshold going from zero probability for magnitudes M≤6.9 to probability one for M≥7.2is the best model for the study area.
Development of a machine learning-based nomogram for predicting one-year mortality in elderly patients with chronic obstructive pulmonary disease in intensive care unit
Authors: Liu Xiaozhu , Zhang Yang , Deng Jiewen , Liu Yue , Huang Jian , Huang Yang , Duan Minjie , Yang Ming , Tang Juan , Liu Yuan , Liu Weiping , Deng Zhiping , Peng Shengxian 
Published: November 2022

Abstract
Objective: Predictors of one-year mortality for elderly patients referred to intensive care units (ICUs) with chronic obstructive pulmonary disease (COPD) remain poorly described. We sought to create and verify a model for predicting all-cause one-year death among COPD patients admitted to the ICU.
Methods: A retrospective cohort study was designed. The Medical Information Mart for Intensive Care (MIMIC-IV) database was mined for information. A total of 2313 patients with COPD who met the inclusion criteria were screened for eligibility using registry data from the MIMIC-IV database between January 2008 and December 2019, which was randomized into training (n = 1628, 70%) and testing groups (n = 685, 30%). The tree model-based extreme gradient boosting (XGBoost), random forest (RF), and lightGBM algorithms were used in the training samples to rank feature importance and screen out its top 10 union features as independent mortality risk factors.The variance inflation factor (VIF) was used to check for collinearity in the prediction model's input variables, and multivariate logistic regression analysis was used to take a gander at factors related to mortality and then to use those factors to create a nomogram for predicting prognosis, which was then tested on the testing cohort. The AUC, calibration plot, and decision curve analysis were performed to evaluate the predictive model's discrimination, calibration, and clinical utility.
Results: The results showed that ∼40.60% (939 out of 2,313) of the patients died. In multivariate logistic regression analyses, weight, BUN, RDW, MCHC, age, malignancy, and heart_rate were all independent predictors of mortality. In both groups, the nomogram showed acceptable discrimination (area under curve [AUC] = 0.7216 [95% confidence interval (CI) 0.6968–0.7465] and AUC=0.7481 [95% CI 0.7116–0.7845], respectively) and good calibration compared to SOFA, SAPS II, LODS, APS III, OASIS, SIRS, GCS, and MELD risk scores.In addition, it was discovered that calibration plots accurately predicted one-year mortality. The examination of decision curves (DCAs) revealed that the nomogram model had a greater net benefit.
Conclusions: Our nomogram provides interpretable and visual explanations of customized one-year death projections in ICU-admitted elderly patients with COPD, which may aid clinical clinicians in comprehending the effects of key model characteristics and the model's decision-making for such patients.
Evaluation of different copper sources as feed additives in Nile tilapia diets: Growth, body indices, hematological assay, plasma metabolites, immune, anti-oxidative ability, and intestinal morphometric measurements
Authors: Ibrahim Mohamed S. , mohamed Shimaa M.R. , Mohammady Eman Y. , El-Haroun Ehab R. , Hassaan Mohamed S. 
Published: November 2022

Abstract
The goal of the current study was to compare how well Nile tilapia, Oreochromis niloticus, utilized copper (Cu) from bulk and nano sources as a dietary copper supplement by evaluating fish growth, body indices, hematological assays, plasma metabolites, immune and anti-oxidative abilities, and intestinal morphometric measurements. The basal diet served as a control, with no Cu added, whereas the experimental diets were formed by adding bulk-Cu and nano-Cu to the basal diet to keep Cu levels at 3 and 6 mg kg− 1, respectively, in both Cu sources. Tilapia (9.10 ± 0.014 g) were fed the control diet and four experimental diets for 12 weeks. In conclusion, fish-fed Cu-supplemented diets outperformed those fed the control-free Cu diet in terms of growth, feed utilization, body indices, fillet nutrient composition, hematological assay, plasma metabolites, immune, antioxidant activities, and intestinal morphometry, with the best weight gain (WG), flesh Cu contents, hematocrit% (Hct), white blood cell counts (WBCs), total protein (TP), albumin (AL), and globulin. These findings suggest that Cu in the form of nanoparticles is more useful than bulk Cu for satisfying the dietary Cu requirements of Nile tilapia.
Machine Learning for Classification of Cutaneous Sebaceous Neoplasms: Implementing Decision Tree Model Using Cytological and Architectural Features
Authors: Kamyab-Hesari Kambiz , azhari Vahidehsadat , ahmadzade Ali , Amoli Fahimeh Asadi , Najafi Anahita , Hasanzadeh Alireza , Beikmarzehei Alireza 
Published: November 2022

Abstract
Background: This observational study aimed to describe and compare histopathological, architectural, and nuclear characteristics of sebaceous lesions and utilized these characteristics to develop a predictive classification approach using machine learning algorithms.
Methods: This cross-sectional study was conducted on patients with sebaceous from March 2015 to March 2019. Pathology slides were retrieved and reviewed. Two distinct pathologists assessed each slide regarding architectural and cytological attributes. A decision tree method was used to develop a prediction model. multiple models were trained on a random 80% train set, this time only using the selected variables, and mean accuracy was calculated.
Results: This study assessed characteristics of 124 sebaceous tumors. Histopathological findings such as pagetoid appearance, neurovascular invasion, atypical mitosis, extensive necrotic area, poor cell differentiation, and non-lobular tumor growth pattern, as well as nuclear features such as highly irregular nuclear contour, and large nuclear size were exclusively observed in carcinomatous tumors. Among non-carcinomatous lesions, some sebaceoma cases had features like infiltrative tumor margin, and high mitotic activity which can be misleading and complicate diagnosis. Based on multiple decision tree models, the five most critical variables for lesion categorization were identified as: nuclear contour, nucleoli, peripheral basaloid cell layers, basaloid cell count, and chromatin.
Conclusions: This study implemented a machine learning modeling approach to help categorize controversial sebaceous lesions based on architectural and nuclear features, optimally. However, studies of larger sample sizes are needed to ensure the accuracy of our suggested predictive model.