bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrogenerated Chemiluminescent Detection of Polyamines on a Microfluidic Device Using Micromolded Carbon Paste Microelectrodes
Authors: Gross Erin M. , Lowry Emily R. , Schaffer Leah V. , Henry Charles S. 
Published: February 2022

AbstractA simple, sensitive, and rapid electrochemiluminescent (ECL) method was developed for the detection of several polyamines on a microfluidic chip. Rapid prototyping of poly(dimethylsiloxane) was used to fabricate flow channels and carbon paste microelectrodes. These devices are easily fabricated and amenable to ECL detection due to their planar and optically transparent nature. The ECL reaction between tris(2,2′‐bipyridyl)ruthenium(II) and amine‐containing co‐reactants was used to generate the ECL signal. Experimental parameters were optimized and low micromolar limits of detection (S/N=3) were determined for four different polyamines. The method was successfully used to determine the concentration of spermine in milk samples.
An Eco‐friendly Pencil Graphite Sensor for Voltammetric Analysis of the Antidepressant Vilazodone Hydrochloride
Authors: Hussien Emad M. , Rizk Mohamed S. , Daoud Amira M. , El‐Eryan Rasha Th. 
Published: February 2022

AbstractA simple, eco‐friendly, accurate and inexpensive pencil graphite electrode (PGE) was utilized for the quantitative determination of Vilazodone hydrochloride (VLZ) by Square wave voltammetric (SWV) method. Optimum electrochemical performance of the electrode was achieved by optimizing the pH of the measuring solution, the rate of potential scan and the time of accumulation onto the electrode surface. The SWV showed linearity over the concentration range of 9.99×10−9 to 9.78×10−7 M, with LOD of 6.4×10−9 M. This method was applied to evaluate VLZ in pharmaceutical preparation and spiked plasma with %recovery± RSD of 99.99±0.41 and 99.40±1.36, respectively.
Using Carbon Paste Electrode Modified with Graphene and Nanodiamond for the Determination of Nimesulide in Biologic and Environmental Samples
Authors: Santos Anderson M. , Wong Ademar , Feitosa Maria H. A. , Silva Laís P. , Fatibello‐Filho Orlando , Moraes Fernando C. 
Published: February 2022

AbstractThe present work reports the development and application of a new carbon paste electrode modified with graphene and nanodiamond for the determination of nimesulide in biological and environmental samples. The morphology and electrochemical properties of the carbon nanostructures were characterized by scanning electron microscopy, cyclic voltammetry and electrochemical impedance spectroscopy. The application of the proposed electrochemical sensor led to a significant improvement in the analytical signal and nimesulide oxidation was found to occur at a potential of +0.97 V (vs. Ag/AgCl (3.0 mol L−1 KCl)). The determination of nimesulide was performed based on the application of differential pulse voltammetry, and the results obtained showed a linear concentration range of 0.50–9.0 μmol L−1 (r=0.999) with limit of detection of 15 nmol L−1. The proposed analytical method was successfully applied for the determination of nimesulide in spiked river water, serum and synthetic urine samples, where recoveries close to 100 % were obtained.
Use of Riparian Spiders as Sentinels of Persistent and Bioavailable Chemical Contaminants in Aquatic Ecosystems: A Review
Authors: Chumchal Matthew M. , Beaubien Gale B. , Drenner Ray W. , Hannappel Madeline P. , Mills Marc A. , Olson Connor I. , Otter Ryan R. , Todd Andrew C. , Walters David M. 
Published: February 2022

Abstract
Aquatic ecosystems around the world are contaminated with a wide range of anthropogenic chemicals, including metals and organic pollutants, that originate from point and nonpoint sources. Many of these chemical contaminants have complex environmental cycles, are persistent and bioavailable, can be incorporated into aquatic food webs, and pose a threat to the health of wildlife and humans. Identifying appropriate sentinels that reflect bioavailability is critical to assessing and managing aquatic ecosystems impacted by contaminants. The objective of the present study is to review research on riparian spiders as sentinels of persistent and bioavailable chemical contaminants in aquatic ecosystems. Our review of the literature on riparian spiders as sentinels suggests that significant progress has been made during the last two decades of research. We identified 55 published studies conducted around the world in which riparian spiders (primarily of the families Tetragnathidae, Araneidae, Lycosidae, and Pisauridae) were used as sentinels of chemical contamination of lotic, lentic, and estuarine systems. For several contaminants, such as polychlorinated biphenyls (PCBs), Hg, and Se, it is now clear that riparian spiders are appropriate sentinels. However, many contaminants and factors that could impact chemical concentrations in riparian spiders have not been well characterized. Further study of riparian spiders and their potential role as sentinels is critical because it would allow for development of national-scale programs that utilize riparian spiders as sentinels to monitor chemical contaminants in aquatic ecosystems. A riparian spider sentinel program in the United States would be complementary to existing national sentinel programs, including those for fish and immature dragonflies. Environ Toxicol Chem 2022;41:499–514. © 2021 SETAC
Abstract
A review of research on riparian spiders as sentinels of persistent and bioavailable chemical contaminants in aquatic ecosystems reveals that spiders are appropriate sentinels for some contaminants, such as PCBs, Hg, and Se, and that spiders have potential for use in aquatic contaminant monitoring programs.
Turning biennial into biannual harvest: Long‐term assessment of Arabica coffee–macadamia intercropping and irrigation synergism by biological and economic indices
Authors: Soratto Rogério P. , Perdoná Marcos J. , Parecido Renan J. , Pinotti Raquel N. , Gitari Harun I. 
Published: February 2022

AbstractIntercropping that involves coffee (Coffee arabicaL.) and macadamia (Macadamia integrifoliaMaiden & Betche) can achieve the complementarity between component crops aiming at better use of natural resources, hence resulting in optimum crop production. However, there is no detailed information in the scientific literature about the biological and economic efficiency of coffee–macadamia intercropping. In this work, we evaluated the productivity and economic performance of Arabica coffee–macadamia intercropping under rainfed and irrigated conditions for 13 years (2006–2018) in São Paulo state, southeastern Brazil. In addition, some biological, economic, and competition indices were used to understand the complementarity of companion crops under the intercropping system. Irrigation significantly increased coffee (21%–40%) and macadamia (33%–44%) yields. Despite the greater values of aggressivity and dominance indices of macadamia over coffee crop have been calculated in the rainfed regime, intercropping with macadamia reduced more strongly coffee yield under irrigation. The higher values of land equivalent ratio (LER), land equivalent coefficient (LEC), percentage yield difference (PYD), income equivalent ratio (IER), and relative net return index (RNRI) indicated relatively higher benefits of intercropping under rainfed regime than under irrigation. The intercropping systems were more productive than monocrops, reaching 215% more yield, 3.2‐fold more gross income under rainfed conditions. The synergy of the combined use of irrigation and intercropping technologies decreased the payback period and the highest values of coffee equivalent yield (CEY) and monetary advantage index (MAI) under irrigation indicated a cumulative effect on the profitability. Here, for the first time, we demonstrated the complementarity between Arabica coffee and macadamia under the intercropping system, at least up to 13 years after planting of the crops, and suggest that it may be a viable option to optimize the use of resources, food production, and ecosystem services, making agricultural profitability more sustainable and stable.
Restoring statistical validity in group analyses of motion‐corrupted MRI data
Authors: Lutti Antoine , Corbin Nadège , Ashburner John , Ziegler Gabriel , Draganski Bogdan , Phillips Christophe , Kherif Ferath , Callaghan Martina F. , Di Domenicantonio Giulia 
Published: February 2022

AbstractMotion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterise disease in patient populations. Quality control procedures allow the exclusion of the most affected images from analysis. However, the criterion for exclusion is difficult to determine objectively and exclusion can lead to a suboptimal compromise between image quality and sample size. We provide an alternative, data‐driven solution that assigns weights to each image, computed from an index of image quality using restricted maximum likelihood. We illustrate this method through the analysis of quantitative MRI data. The proposed method restores the validity of statistical tests, and performs near optimally in all brain regions, despite local effects of head motion. This method is amenable to the analysis of a broad type of MRI data and can accommodate any measure of image quality.
The additive impact of cardio‐metabolic disorders and psychiatric illnesses on accelerated brain aging
Authors: Ryan Meghann C. , Hong L. Elliot , Hatch Kathryn S. , Gao Si , Chen Shuo , Haerian Krystl , Wang Jingtao , Goldwaser Eric L. , Du Xiaoming , Adhikari Bhim M. , Bruce Heather , Hare Stephanie , Kvarta Mark D. , Jahanshad Neda , Nichols Thomas E. , Thompson Paul M. , Kochunov Peter 
Published: February 2022

AbstractSevere mental illnesses (SMI) including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD) elevate accelerated brain aging risks. Cardio‐metabolic disorders (CMD) are common comorbidities in SMI and negatively impact brain health. We validated a linear quantile regression index (QRI) approach against the machine learning “BrainAge” index in an independent SSD cohort (N = 206). We tested the direct and additive effects of SMI and CMD effects on accelerated brain aging in the N = 1,618 (604 M/1,014 F, average age = 63.53 ± 7.38) subjects with SMI and N = 11,849 (5,719 M/6,130 F; 64.42 ± 7.38) controls from the UK Biobank. Subjects were subdivided based on diagnostic status: SMI+/CMD+ (N = 665), SMI+/CMD− (N = 964), SMI−/CMD+ (N = 3,765), SMI−/CMD− (N = 8,083). SMI (F = 40.47, p = 2.06 × 10−10) and CMD (F = 24.69, p = 6.82 × 10−7) significantly, independently impacted whole‐brain QRI in SMI+. SSD had the largest effect (Cohen’s d = 1.42) then BD (d = 0.55), and MDD (d = 0.15). Hypertension had a significant effect on SMI+ (d = 0.19) and SMI− (d = 0.14). SMI effects were direct, independent of MD, and remained significant after correcting for effects of antipsychotic medications. Whole‐brain QRI was significantly (p < 10−16) associated with the volume of white matter hyperintensities (WMH). However, WMH did not show significant association with SMI and was driven by CMD, chiefly hypertension (p < 10−16). We used a simple and robust index, QRI, the demonstrate additive effect of SMI and CMD on accelerated brain aging. We showed a greater effect of psychiatric illnesses on QRI compared to cardio‐metabolic illness. Our findings suggest that subjects with SMI should be among the targets for interventions to protect against age‐related cognitive decline.
Numerical simulation of three‐phase‐lag bio‐heat transfer model for generalized coordinate system amidst thermal ablation
Authors: Kumari Tejaswini , Singh Sawal Kishore 
Published: February 2022

AbstractVarious heat transmits models exhibit a thermal response in the tissue during thermal therapies. In the present work, we proposed a three‐phase‐lag (TPL) bio‐heat‐transmitting model including an external laser heating term amidst thermal treatment for the generalized coordinate system. The TPL model is based on the law of heat conduction containing heat flux, temperature gradient, and thermal displacement gradient terms. The solution is determined by implementing a discretization scheme of finite difference in the company of the Runge–Kutta (4,5) technique to examine the temperature repercussion throughout the thermal treatment of the tumor. In addition to this, the impact of various parameters such as phase lag in heat flux, temperature gradient, thermal displacement gradient, the heat generated because of blood perfusion, metabolism, and external heat source term is studied. A comparison has been shown graphically during the thermal treatment. The temperature profile is studied for different coordinate systems, and results are discussed. Moreover, validation has been made of the TPL model used in this paper with the experimental results. Thus the outcomes achieved from this study are purposeful in the therapeutical field, especially for oncologists.
Visualizing and Interacting with a System‐Centric Enterprise Digital Thread
Authors: Panthaki Malcolm , Keer Tim 
Published: February 2022

AbstractAs large enterprises embrace Digital Transformation, it is obvious that merely scanning paper documents to digital form is inadequate to achieve their broader goals. These must be transformed into more granular data that are version controlled, configuration managed and connected – i.e., a digital thread.As a digital thread begins to span the product lifecycle, its complexity increases exponentially with the number of lifecycle phases and application areas that it encompasses. This quickly becomes intractable, given the “normal” approach to finding and presenting data in PLM platforms.The goal of creating these enormous and rapidly growing networks of data is not just to archive the data. They must empower the product teams to be productive and to make the most effective use of this dynamic data network to meet the rapidly changing goals of the corporation as it reacts to the market's needs. This requires various graphical query and visualization tools.
Holistic Asset Performance Management Systems: Speculative design for Industrial APM systems and human work experience in an Industry 5.0 setting
Authors: Sengupta Rounak , Kant Vivek 
Published: February 2022

AbstractThe aim of this article is to comprehend human work experience in industry 5.0. In the next generation of human systems integration, the major challenge will be to incorporate creative experiences of people with technologies. This aspect will be particularly salient when using Asset Performance management Systems. In this article, we use a qualitative futures planning approach with a speculative design methodology to comprehend human experience in next generation work systems. We propose that by incorporating human experience, we need to characterize these systems as Holistic Asset Performance Management systems that consider the human without reducing it to the mechanistic component. By building on the speculative enactment method, this research also explores the advantages of involving actual creative individuals in the enactment process to achieve better results. It concludes with speculations for the future of APM systems and raises certain questions related to ethics.
Role of foreign direct investment in decomposing of scale and technique effects on China's energy consumption
Authors: Shahbaz Muhammad , Sinha Avik , Ahmad Shabbir , Jiao Zhilun , Wang Zhaohua 
Published: February 2022

AbstractThis study contributes to the literature of energy economics by divulging the nature of scale and technique effects on energy consumption, considering foreign direct investment (FDI) as one of considerable factors of energy demand. The Chinese provincial data over the period of 2000–2018 are used for empirical analysis. In doing so, we have applied the Westerlund and Edgerton cointegration test using cross‐sectional dependence and structural breaks, and bootstrapped quantile regression to decompose scale and technique effects. The empirical results show the presence of cointegrating association among the model parameters, in the presence of cross‐sectional dependence and structural breaks. The quantile regression results indicate that the scale effect exerted by FDI is negative at lower quantiles of energy consumption, and positive at upper quantiles. Moreover, scale and technique effects exerted by FDI are positive and negative, respectively, at lower quantiles of energy consumption, and negative and positive, respectively, at higher quantiles. The results of this study are expected to help in designing the energy policies in China, keeping the quantum of energy consumption at various provinces in mind, and, thereby, ensuring the sustainability in energy consumption.
Squamous cell and urothelial carcinomas in an ileal neobladder
Authors: Fujimoto Takeru , Sakamoto Hiromasa , Sakurai Takaki , Kanai Kasumi , Imai Kazuto , Aoyama Teruyoshi 
Published: February 2022

IntroductionIn cases of ileal neobladder following radical cystectomy for the treatment of bladder cancer, tumor development in the isolated gut segment is extremely rare. Herein, we report a case of squamous cell and urothelial carcinomas in the ileal neobladder 23 years after radical cystectomy.Case presentationA 71‐year‐old man was referred to our hospital for further examination of a solitary tumor in an ileal neobladder. At the age of 48 years, he underwent radical cystectomy with ileal neobladder reconstruction. Transurethral resection of the bladder tumor was performed, and histopathological findings showed squamous cell carcinoma with high‐grade urothelial carcinoma.ConclusionTo our knowledge, this is the first report of squamous cell and urothelial carcinomas in an ileal neobladder. While secondary tumor development in an ileal neobladder is rare, it is a cause for concern as a late postoperative adverse event. Therefore, long‐term follow‐ups are recommended.
Rate constant ratios in the consecutive chlorination of liquid‐phase p‐xylene with Cl2 and antimony pentachloride as a catalyst
Authors: Rigas Fotis P. 
Published: February 2022

AbstractThe rate constant ratios of the consecutive chlorination of p‐xylene at 70oC in a gas–liquid semibatch reactor using molecular chlorine, dichloroethane as a solvent, and antimony pentachloride as a catalyst was investigated up to the fourth successive reaction (tetrachloro‐p‐xylene production). The rate ratios were determined with both mathematical expressions and a graphical method proposed recently in the literature by use of the maxima of the successive products. In addition, to this simple method that concerns only one pair of values of products (single‐point maximum approach), another novel method is proposed and successfully applied concerning many pairs of corresponding values of intermediate products (multiple points maximum approach). This latter method permits the estimation of uncertainties and propagation of uncertainties that proved the usefulness and the possibilities of determining the parameters based on special points of the kinetic dependencies. The rate ratios found for monochloro‐p‐xylene (2‐chloro‐p‐xylene), dichloro‐p‐xylene (the sum of 2,3‐dichloro‐p‐xylene and 2,5‐dichloro‐p‐xylene), trichloro‐p‐xylene (2,3,5‐trichloro‐p‐xylene), and tetrachloro‐p‐xylene (2,3,5,6‐tetrachloro‐p‐xylene) are k2/k1 = 0.09741, k3/k1 = 0.002685, and k4/k1 = 0.000499. The ratio of the dichloro‐isomers produced was also determined in the initial stages as 3.3 in favor of 2,5‐dichloro‐p‐xylene, which is reasonable since 2,3‐dichloro‐p‐xylene is highly hindered by the adjacent groups on the aromatic nucleus. Nevertheless, as the production of trichloro‐p‐xylene increased considerably, the proportion of 2,3‐dichloro‐p‐xylene gradually diminished down to complete disappearance. This is attributed to the ease of this isomer to be further chlorinated to trichloro‐product since its available free sites on the nucleus are less hindered compared to 2,5‐dichloro‐p‐xylene. The standard uncertainties of the rate constant ratios, the standard deviation of the means, as well as the expanded uncertainties of the means were calculated and proved statistically accepted. Finally, the propagation of uncertainties for the trichloro‐p‐xylene was estimated using the partial derivatives of this product for each of the rate constant ratios.
Variation in the predictability of lake plankton metric types
Authors: Kakouei Karan , Kraemer Benjamin M. , Adrian Rita 
Published: February 2022

AbstractStatistical and climate models are frequently used for biodiversity projections under future climatic changes, but their predictive capacity for freshwater plankton may vary among different species and community metrics. Here, we used random forests to model plankton species and community metrics as a function of biological, climatic, physical, and chemical data from long‐term (2000–2017) monitoring data collected from Lake Müggelsee Berlin, Germany. We (1) compared the predictability of well‐known lake plankton metric types (biomass, abundance, taxonomic diversity, Shannon diversity, Simpson diversity, evenness, taxonomic distinctness, and taxonomic richness) and (2) assessed how the relative influence of different environmental drivers varies across lake plankton metric models. Overall, the metric predictability was highest for biomass and abundance followed by taxonomic richness. The biomass of dominant phytoplankton taxonomic groups such as cyanobacteria (adjusted‐R2 = 0.53) and the abundance of dominant zooplankton taxonomic groups such as rotifers (adjusted‐R2 = 0.59) and daphnids (adjusted‐R2 = 0.51) were more predictable than other metric types. The plankton metric predictability increased when grouping phytoplankton species according to their functional traits (adjusted‐R2 = 0.37 ± 0.14, mean ± SD, n = 36 functional groups) compared to higher taxonomic units (adjusted‐R2 = 0.25 ± 0.15, n = 22 taxonomic groups). Light, nutrients, water temperature, and seasonality for phytoplankton and food resources for zooplankton were the main drivers of both taxonomic and functional groups, giving confidence that our models captured the expected major environmental drivers. Our quantitative analyses highlight the multidimensionality of lake planktonic responses to environmental drivers and have implications for our capacity to select appropriate metrics for forecasting the future of lake ecosystems under global change scenarios.