bluuebunny/crossref_metadata_2025_split huggingface dataset:
Downregulation of circLPAR3 inhibits tumor progression and glycolysis by liberating miR‐144‐3p and upregulating LPCAT1 in oral squamous cell carcinoma
Authors: Su Zhijian , Pan Chao , Xie Honghui , Ning Yanyang , Li Shuangjiang , Xiao Haibo 
Published: March 2022

AbstractBackgroundIncreasing evidence demonstrated the important roles of circular RNAs (circRNAs) in human cancer progression, including oral squamous cell carcinoma (OSCC). The study intentions were to explore the role and molecular mechanism of hsa_circ_0004390 (circLPAR3) in OSCC progression.MethodsExpression of circLPAR3 in collected samples and cultured cell lines was detected with real‐time quantitative reverse transcription‐polymerase chain reaction (RT‐qPCR). Loss‐of‐function experiments were performed to determine the effect of circLPAR3 silencing on OSCC cell proliferation, migration, invasion, apoptosis, angiopoiesis, and glycolysis. The sponge function of circLPAR3 was predicted by bioinformatics analysis and validated by the dual‐luciferase reporter and RNA pull‐down assays. In vivo experiments were conducted to validate the function of circLPAR3.ResultsA marked increase in circLPAR3 expression was observed in OSCC samples and cell lines. Furthermore, circLPAR3 could distinguish OSCC samples from paired non‐tumor samples, and patients with high circLPAR3 expression had a poor prognosis. Furthermore, circLPAR3 inhibition decreased OSCC growth in xenograft mouse models. Moreover, circLPAR3 silencing repressed cell proliferation, migration, invasion, angiopoiesis, glycolysis, and induced cell apoptosis in OSCC cells in vitro. Mechanically, circLPAR3 sponged miR‐144‐3p to prohibit the inhibiting effect of miR‐144‐3p on LPCAT1, thus promoting OSCC progression.ConclusionCircLPAR3 exerted a tumor‐promoting effect on OSCC growth through elevating LPCAT1 expression via functioning as a miR‐144‐3p sponge. This study supports the possible role of circLPAR3 in the diagnosis, prognosis, and treatment of OSCC.
Environmental air pollution and chronic rhinosinusitis: A systematic review
Authors: Leland Evelyn M. , Vohra Varun , Seal Stella M. , Zhang Zhenyu , Ramanathan Murugappan 
Published: March 2022

AbstractObjectiveChronic rhinosinusitis (CRS) is a highly prevalent and burdensome disease. The pathophysiology is not fully elucidated, but environmental pollutants have been suggested to impact the inflammatory component of the disease process. This review aims to summarize the role of environmental pollution in CRS onset and disease severity.MethodsA systematic review was performed following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. PubMed, EMBASE, Cochrane Library, Web of Science, and Scopus databases were queried in August 2021. Original articles reporting on air pollution exposure in CRS were included. Other forms of sinonasal disease were excluded.ResultsLiterature search produced 11,983 articles, of which 10 met inclusion criteria. Outcomes evaluated included incidence/prevalence, disease severity, quality of life, and histopathologic/microbial changes. Air pollutant exposure was associated with higher odds of CRS, particularly with particulate matter (PM) exposure. Increasing air pollution exposure was also associated with worsened disease severity and detectable histopathologic changes. Impact on quality of life was less clear.ConclusionAir pollution (particularly PM) is correlated with CRS incidence/prevalence and disease severity, with evidence of histopathologic changes in CRS tissue samples. Further research is warranted to better understand the mechanisms by which air pollution components may cause CRS and type 2 inflammation.Level of Evidence3a
Internal seiches as drivers of fish depth use in lakes
Authors: Brooks Jill L. , Midwood Jonathan D. , Smith Adam , Cooke Steven J. , Flood Bryan , Boston Christine M. , Semecsen Patricia , Doka Susan E. , Wells Mathew G. 
Published: March 2022

AbstractInland temperate lakes undergo various physical processes, such as thermal stratification, that dictate the spatial availability of suitable temperature and dissolved oxygen conditions. Here, we use intensive limnological monitoring and acoustic telemetry transmitters implanted in wild fish to document the magnitude and frequency of thermocline deflection events (i.e., wind driven internal seiches that lead to upwelling of hypoxic hypolimnetic water) and their influence on freshwater fish depth use in a coastal embayment of Lake Ontario. The embayment experienced around 100 internal seiche events during a 3‐month period and tracking of walleye (Stizostedion vitreus) vertical positions in the water column showed clear trends of avoidance of low dissolved oxygen. Quantile regression showed a significant correlation between walleye vertical position and the depth of the 3, 4, and 5 mg L−1 oxyclines, with the 3 mg L−1 oxycline having the largest effect. Upwellings of the hypoxic hypolimnion forced walleye to use the water column above these fluctuating oxyclines (5th percentile, p < 0.001), with 94.2% of detections occurring at depths above the 3 mg L−1 oxycline. Understanding how fish respond to upwelling events (both temperature and oxygen) is important for fisheries assessment, management, and habitat restoration planning as there is clear avoidance of suboptimal oxygen conditions and sampling in the overcrowded fringes of these low‐oxygen zones could artificially inflate population estimates.
Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey
Authors: Halffmann Pascal , Schäfer Luca E. , Dächert Kerstin , Klamroth Kathrin , Ruzika Stefan 
Published: March 2022

AbstractWe provide a comprehensive overview of the literature of algorithmic approaches for multiobjective mixed‐integer and integer linear optimization problems. More precisely, we categorize and display exact methods for multiobjective linear problems with integer variables for computing the entire set of nondominated images. Our review lists 108 articles and is intended to serve as a reference for all researchers who are familiar with basic concepts of multiobjective optimization and who have an interest in getting a thorough view on the state‐of‐the‐art in multiobjective mixed‐integer programming.
Metabolomics as a tool for the early diagnosis and prognosis of diabetic kidney disease
Authors: Pereira Pedro R. , Carrageta David F. , Oliveira Pedro F. , Rodrigues Anabela , Alves Marco G. , Monteiro Mariana P. 
Published: March 2022

AbstractDiabetic kidney disease (DKD) is one of the most prevalent comorbidities of diabetes mellitus and the leading cause of the end‐stage renal disease (ESRD). DKD results from chronic exposure to hyperglycemia, leading to progressive alterations in kidney structure and function. The early development of DKD is clinically silent and when albuminuria is detected the lesions are often at advanced stages, leading to rapid kidney function decline towards ESRD. DKD progression can be arrested or substantially delayed if detected and addressed at early stages. A major limitation of current methods is the absence of albuminuria in non‐albuminuric phenotypes of diabetic nephropathy, which becomes increasingly prevalent and lacks focused therapy. Metabolomics is an ever‐evolving omics technology that enables the study of metabolites, downstream products of every biochemical event that occurs in an organism. Metabolomics disclosures complex metabolic networks and provide knowledge of the very foundation of several physiological or pathophysiological processes, ultimately leading to the identification of diseases' unique metabolic signatures. In this sense, metabolomics is a promising tool not only for the diagnosis but also for the identification of pre‐disease states which would confer a rapid and personalized clinical practice. Herein, the use of metabolomics as a tool to identify the DKD metabolic signature of tubule interstitial lesions to diagnose or predict the time‐course of DKD will be discussed. In addition, the proficiency and limitations of the currently available high‐throughput metabolomic techniques will be discussed.
Development and validation of the Distracting Ingenuity Promotion Scale for paediatric nurses to support the psychological outcomes of paediatric patients and their families: A survey‐based cross‐sectional cohort study
Authors: Ogihara Hiroyuki 
Published: March 2022

AbstractAimTo develop and validate the Distracting Ingenuity Promotion Scale (DIPS) for paediatric nurses.DesignCross‐sectional study using anonymized self‐administered questionnaires.MethodsFrom July–November 2013, paediatric nurses working in the wards or outpatient departments in 39 medical institutions in Japan were enrolled in the survey. Data were analysed using the Student's t‐test, Mann–Whitney U test and analysis of variance test. Exploratory and confirmatory factor analyses were performed to validate the factors in the DIPS. Cronbach's α was used to calculate the reliability of the DIPS.ResultsThe DIPS included five subscales comprising 21 items. The goodness‐of‐fit indices for confirmatory factor analysis had a Comparative Fit Index of 0.923 and a Root Mean Square Error of Approximation of 0.059 and fulfilled the standard external validity criteria. Cronbach's α was 0.707–0.826 for each subscale and 0.895 for the overall scale.
Tunable Gold‐catalyzed Reactions of Propargyl Alcohols and Aryl Nucleophiles
Authors: Jónsson Helgi Freyr , Solvi Thomas Nordbø , Lomeland Sondre , Reiersølmoen Ann Christin , Fiksdahl Anne 
Published: March 2022

AbstractGold‐catalyzed transformations of 1,3‐diarylpropargyl alcohols and various aryl nucleophiles were studied. Selective tunable synthetic methods were developed for 1,1,3‐triarylallenes, diaryl‐indenes and tetraaryl‐allyl target products by C3 nucleophilic substitution and subsequent intra‐ or intermolecular hydroarylation, respectively. The reactions were scoped with regards to gold(I)/(III) catalysts, solvent, temperature, and electronic and steric effects of both the diarylpropargyl alcohol and the aryl nucleophiles. High yields of triaryl‐allenes and diaryl‐indenes by gold(III) catalysis were observed. Depending on the choice of aryl nucleophile and control of reaction temperature, different product ratios have been obtained. Alternatively, tetraaryl‐allyl target products were formed by a sequential one‐pot tandem process from appropriate propargyl substrates and two different aryl nucleophiles. Corresponding halo‐arylation products (I and Br; up to 95 % 2‐halo‐diaryl‐indenes) were obtained in a one‐pot manner in the presence of the respective N‐halosuccinimides (NIS, NBS).
A Pitfall in Heavy Metal Separation with Amino‐modified Silica Adsorbents from Aqueous Solution: The Occurring pH Shift
Authors: Kriese Friederike , Lassen Stephan , Horn Helena 
Published: March 2022

AbstractSelective separation of heavy metal ions from acidic aqueous solutions is of strong interest for certain industrial processes, such as electroplating, as well as environmental protection, for example battery recycling. Amino‐functionalized adsorbents are often discussed as suitable material for this purpose. Herein, two silica‐based adsorbents functionalized with 3‐aminopropyl‐ and 3‐[2‐[2‐aminoethylamino]‐ethylamino]‐propyl‐ligands resulting in adsorbents MonoA and TriA, respectively, were investigated regarding their separation behavior with focus on nickel(II) and cobalt(II) in batch as well as continuous flow experiments in acidic aqueous solutions. For both adsorbents, pH shifts into the alkaline range were observed in the process solutions, causing precipitation of metal hydroxides mainly in the particle pores in case of adsorbent MonoA and a combination of precipitation and adsorption regarding adsorbent TriA.Contrary to prior studies, our findings evidence that amino‐functionalized adsorbents are not applicable for nickel(II) and cobalt(II) in selective adsorption processes and additionally demonstrate that, besides batch investigations, continuous flow experiments are essential for well‐founded adsorbent selections in process development.
Effect of main chain modification during reversion on strain‐induced crystallization of polyisoprene rubbers
Authors: Lin Feifei , Jia Weijie , Zhong Liang , Liu Feng , Zhang Hao , Wang Bin , Song Yudian 
Published: March 2022

AbstractThe effect of main chain modification during reversion on strain‐induced crystallization (SIC) of unfilled natural rubber (NR) and synthetic polyisoprene rubber (IR) cured with a conventional vulcanization system has been investigated. To eliminate the interference of crosslink density, vulcanizates were prepared using different amounts of curatives, chosen to give mainly monosulfidic or carbon–carbon crosslinks, having similar crosslink densities to the conventional compound at different states of reversion. Crystallinity was characterized by the degree of stress softening, and the contents of trans‐methine were qualitatively and quantitatively analyzed by Fourier transform infrared spectroscopy. It was found that crosslink density exerts much greater influence on crystallinity than crosslink structure. At the same crosslink density, SIC of NR vulcanizates after reversion is lower than that of samples cured with tetramethylthiuram disulfide or dicumyl peroxid to the optimum cure state, which might be attributed to molecular main chain modification during reversion. NR was found to have better reversion resistance than IR.
Proteomic profiling of metformin effects in 3T3‐L1 adipocytes by SILAC‐based quantification
Authors: Choi Sunkyu , Engelke Rudolf , Goswami Neha , Schmidt Frank 
Published: March 2022

AbstractMetformin is a common and generally the first medication prescribed for treatment of type 2 diabetes. Its mechanism involves affecting pathways that regulate glucose and lipid metabolism in metabolic cells such as that of muscle and liver cells. In spite of various studies exploring its effects, the proteome changes in adipocytes in response to metformin remains poorly understood. In this study, we performed stable isotope labeling by amino acids in cell culture (SILAC)‐based quantitative proteomic profiling to study the effects of metformin specifically on 3T3‐L1 adipocytes. We define proteins that exhibited altered levels with metformin treatment, 400 of them showing statistically significant changes in our study. Our results suggest that metformin affects not only the PPAR signaling pathway, as well as glucose and lipid metabolism, but also protein folding, endoplasmic reticulum stress, negative regulation of appetite, and one‐carbon folate metabolism in adipocytes. This proteomic investigation provides important insight into effects of metformin in adipocytes.
CILP1 as a biomarker for right ventricular dysfunction in patients with ischemic cardiomyopathy
Authors: Keranov Stanislav , Jafari Leili , Haen Saskia , Vietheer Julia , Kriechbaum Steffen , Dörr Oliver , Liebetrau Christoph , Troidl Christian , Rutsatz Wiebke , Rieth Andreas , Hamm Christian W. , Nef Holger , Rolf Andreas , Keller Till 
Published: March 2022

AbstractThe aim of this study was to evaluate the cartilage intermediate layer protein 1 (CILP1) as a biomarker of right ventricular dysfunction in patients with ischemic cardiomyopathy (ICM). CILP1 plasma concentrations were measured in 98 patients with ICM and 30 controls without any cardiac abnormalities. All participants underwent cardiac magnetic resonance imaging. Median CILP1 concentrations were higher in ICM than in controls. In the tertile analysis, low right ventricular ejection fraction (RVEF) and high right ventricular end‐systolic volume index and N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) were associated with higher CILP1 levels in ICM. However, there were no associations between CILP1 concentrations and left ventricular (LV) parameters in this group. In receiver‐operating characteristic (ROC) analysis CILP1 was a good predictor of RVEF < 40% with an optimal cut‐off value of 3545 pg/ml in ICM, whereas it was not predictive of LV ejection fraction (LVEF) < 40% (area under the curve [AUC] = 0.57) There was no significant difference between the ROC curves of CILP1 (AUC = 0.72) and NT‐proBNP (AUC = 0.77) for RVEF < 40% (p = 0.42). In multivariable regression analysis, RVEF was the only independent predictor of elevated CILP1. CILP1 and LVEF were the only independent predictors of RVEF < 40% in ICM. Our analysis demonstrates the potential role of CILP1 as a novel cardiac biomarker of prognostically relevant RV dysfunction in patients with ICM.
Classical nuclear motion: Does it fail to explain reactions and spectra in certain cases?
Authors: Rohloff Erik , Rudolph Dominik A. , Strolka Onno , Frank Irmgard 
Published: March 2022

AbstractIs a classical description of nuclear motion sufficient when describing chemical reactions and spectra? This question is interesting because many researchers use a classical description of nuclear motion in molecular dynamics simulations. The present paper investigates some phenomena that were previously attributed to nuclear quantum effects. The question is if these phenomena can be modeled with traditional Car–Parrinello molecular dynamics, that is, with a method which treats nuclear motion classically and which is widely applied to the simulation of chemical reactions and spectra. We find that for the investigated system no additional paradigm is needed for describing chemical reactions. The special reactivity observed for carbenes can be attributed to the special environment represented by a noble gas matrix and to an additional transition state that was not considered before. Also the infrared spectrum of porphycene is perfectly modeled by traditional Car–Parrinello molecular dynamics. More studies are necessary to decide to what extent classical nuclear motion can replace the quantum mechanical description.
A systematic review on the role of geographical information systems in monitoring and achieving sustainable development goal 6: Clean water and sanitation
Authors: Baskaran Venkatesh , R Velkennedy 
Published: March 2022

AbstractThe world has changed dramatically in the last two decades due to human intervention at regional and global levels. The fates of humanity and our planet are in our hands. Governments, international agencies, the corporate sector, and individuals must work together to shift away from unsustainable practices. The U.N. General Assembly endorsed the 2030 agenda for Sustainable Development, which comprises 17 Sustainable Development Goals (SDGs). Several published research supports SDG strategies in the last 5 years. Despite initial efforts, the U.N. declared that the world is not really on pace to achieve most SDG targets. Geographic information system (GIS) has been identified as an effective tool in accessing, monitoring, and achieving goals that have 15 years lifespan. This paper presents a systematic review of published articles that combined GIS and SDG in their research. Because these 17 goals include 169 targets, the assessment may be more difficult if all the goals were addressed. This study focused only on “SDG 6: Clean water and sanitation” literature. Google scholar was used to find the most relevant 25 studies. The variable attributes like SDG target addressed, study area, monitoring and improving strategies dealt, the particularity of GIS were analyzed in the literature review through content analysis. The systematic review has found that target 6.1 received enormous attention, and the inverse distance weightage (IDW) interpolation tool from the geostatistical analysis toolset was widely employed in the monitoring stage.
For sustainable development in the transportation sector: Determinants of acceptance of sustainable transportation using the innovation diffusion theory and technology acceptance model
Authors: Ahn Hyeongjin , Park Eunil 
Published: March 2022

AbstractWith global interest in environmental concerns, the importance of sustainable development has consistently increased. With this trend, the concept of sustainable transportation is an urgent issue in both developed and developing countries. Thus, the current study examines user adoption of sustainable transportation and proposes an integrated model of two theoretical frameworks: the innovation diffusion theory and technology acceptance model. The structural results with 250 respondents in Korea find a sequential connection for users' intention to use, while two main determinants of intention—perceived usefulness and attitude—as well as the roles of their environmental knowledge and perceived compatibility, are also highlighted. Based on these findings, both practical and theoretical implications were presented.
Preparation of Exfoliated Organo‐Montmorillonite and Its Effect on Flame Retardancy and Mechanical Properties of Polypropylene
Authors: Hong Xiaofeng , Zhang Shuai , Tian Zhuangzhuang , Qin Shiqian , Yang Lin , Liu Daijun , Gu Zhanyong , Chen Jianjun 
Published: March 2022

AbstractIn this study, a new type of ammonium polyphosphate‐intercalated organic montmorillonite (APP/OMt) was synthesized using in‐situ polymerization, and the chemical structure and surface morphology of APP/OMt was confirmed by FT‐IR, XRD, EDS and SEM. Moreover, the intumescent flame retardant (IFR) composed of APP/OMt, pentaerythritol (PER) and melamine (MA) was added into polypropylene (PP) to fabricate the PP/IFRAPP/OMtcomposites, and their flame‐retardant and mechanical properties were characterized systematically. When the additive mass of the flame retardants was 30 %, the limiting oxygen index (LOI) value reached 33.3 %, and the UL‐94 test passed the V‐0 level when the added amount was only 20 %. Especially, compared to the counterpart of IFRAPP, the addition of IFRAPP/OMtdramatically decreased the released smoke of PP during combustion, and the quality of carbon layer after combustion was obviously improved. The flame‐retardant mechanism of IFRAPP/OMtwas deeply explored. In addition, the mechanical properties of PP composites with IFRAPP/OMtwere significantly improved compared with IFRAPP. The enhanced flame retardancy and mechanical strength were attributed to the synergistic effect between OMt and IFR particles along with improved the dispersion of IFRAPP/OMtwithin the PP matrix.
3D‐Architectured MoS2‐Microflower‐Modified Electrodes toward Electrochemical Determination of Imidacloprid
Authors: Haritha Vijayakumar Sheela , Manuraj Mohan , Sruthi Thekke Veedu , Kumar V. B. Sameer , Kumar Santhakumari Amma Ravindran Nair Sarath , Shankar Sarojini Sharath , Rakhi Raghavan Baby 
Published: March 2022

AbstractWe report the fabrication and analytical performance studies of electrochemical sensors based on hydrothermally grown 3D MoS2‐microflower‐modified Glassy Carbon (GCE) and Carbon Paste Electrodes (CPE) for the sensitive detection of the insecticide imidacloprid (IMI). As compared to MoS2/GCE, the fabricated MoS2/CPE demonstrates a faster electron transfer and better catalytic ability. MoS2/CPE sensor delivers its best performance towards the determination of IMI in PBS solution of pH 7.4, owing to its porous nature which can accommodate a higher number of active electrochemical reaction sites. The sensor exhibits a sensitivity value of 2.296 μA μM−1 cm−2 with lower detection and quantification limits of 12±0.24 nM and 40±0.8 nM respectively. The proposed sensor also exhibits linearity in the detection of IMI from 1 to 100 μM.