bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep neural networks for the quantile estimation of regional renewable energy production
Authors: Alcántara Antonio , Galván Inés M. , Aler Ricardo 
Published: August 2022

AbstractWind and solar energy forecasting have become crucial for the inclusion of renewable energy in electrical power systems. Although most works have focused on point prediction, it is currently becoming important to also estimate the forecast uncertainty. With regard to forecasting methods, deep neural networks have shown good performance in many fields. However, the use of these networks for comparative studies of probabilistic forecasts of renewable energies, especially for regional forecasts, has not yet received much attention. The aim of this article is to study the performance of deep networks for estimating multiple conditional quantiles on regional renewable electricity production and compare them with widely used quantile regression methods such as the linear, support vector quantile regression, gradient boosting quantile regression, natural gradient boosting and quantile regression forest methods. A grid of numerical weather prediction variables covers the region of interest. These variables act as the predictors of the regional model. In addition to quantiles, prediction intervals are also constructed, and the models are evaluated using different metrics. These prediction intervals are further improved through an adapted conformalized quantile regression methodology. Overall, the results show that deep networks are the best performing method for both solar and wind energy regions, producing narrow prediction intervals with good coverage.
Irreplaceability and the Desire-Account of Love
Authors: Kreft Nora 
Published: August 2022

AbstractLovers do not relate to their beloveds as seats of valuable qualities that would be replaceable for anyone with relevantly similar or more valuable qualities. Instead, lovers take their beloveds to be irreplaceable. This has been noted frequently in the current debate on love and different theories of love have offered different explanations for the phenomenon. In this paper, I develop a more complex picture of what is involved in lovers taking their beloveds to be irreplaceable. I argue that in order to account for the beloved’s irreplaceability, a theory of love must meet two conditions: it must explain the subjective aspect as well as the moral aspect of the beloved’s irreplaceability. I show that current theories of love fail to meet these conditions, either one or both of them, and I offer an alternative account that does - an account according to which love is understood as a special kind of desire for the beloved as a person. The aim of this paper is twofold: first, to give a more nuanced picture of the beloved’s irreplaceability, acknowledging in particular that there is a moral aspect to the phenomenon that has not been attended to thus far; second, to introduce and motivate a new desire-based account of love.
Brief report: bidirectional association of core autism features and cognitive abilities in early childhood
Authors: McGowan Kelsie , Berends Daniel , Hudry Kristelle , Vivanti Giacomo , Dissanayake Cheryl , Bent Catherine A. 
Published: August 2022

AbstractWe explored associations among the core behavioural features and developmental/cognitive abilities of 155 autistic children, assessed between ages 13–67 months and again around 1-year later to understand predictive directionality. Bidirectional, cross-domain association was apparent, albeit with stronger direction of effect from earlier cognition to later autism features (than vice versa). Exploratory sub-domain analysis showed that early non-verbal developmental/cognitive abilities (only) predicted subsequent social- and restricted/repetitive autism features, whereas early social features (only) predicted both subsequent verbal and non-verbal abilities. Although observational study design precludes causal inference, these data support contemporary notions of the developmental interconnectedness of core autism presentation and associated abilities—that behavioural autism features may influence cognitive development, but are likely also influenced by an individuals’ cognitive capacity.
Regional technological capabilities and green opportunities in Europe
Authors: Barbieri Nicolò , Consoli Davide , Napolitano Lorenzo , Perruchas François , Pugliese Emanuele , Sbardella Angelica 
Published: August 2022

AbstractThe goal of the paper is to elaborate an empirical overview of green technological development in European regions. This is a timely pursuit considering the ambitious commitments stipulated in the recent European Green Deal to achieve climate neutrality by 2050. Our analysis is organised in three steps. First, we map the geographical distribution of innovative activities in Europe and profile regions in terms of technological capabilities. Second, we elaborate a metric to identify regions’ green innovation potential. Third, we check whether possessing a comparative advantage in specific, green and non-green, technological domains is associated with a region’s capacity to develop green technologies.
Development of thermoplastic vulcanizates based on in situ synthesized thermoplastic polyurethane and acrylonitrile-butadiene rubber: the influence of the curing system
Authors: Kohári Andrea , Bárány Tamás 
Published: August 2022

AbstractWe prepared different thermoplastic elastomers (TPEs) using an internal mixer. We investigated the properties of thermoplastic polyurethanes (TPUs) produced from prepolymers with various isocyanate content and two different chain extenders to select the most appropriate TPU matrix for preparing thermoplastic vulcanizates (TPVs). Based on the results, we selected a prepolymer with moderate isocyanate content (10%) and the more flexible 1,6-hexanediol as a chain extender and prepared TPVs by dynamic vulcanization with in situ produced TPU. The rubber phase was acrylonitrile-butadiene rubber (NBR) with peroxidic and sulfuric curing with different accelerators. Dynamical mechanical analysis (DMA) results show that the room temperature storage modulus of the TPVs decreases due to the rubber phase. The TPU/NBR-CBS TPV with delayed action accelerator yields the highest tensile and tear strength and elongation at break. TPU/NBR-DCP made with a peroxide-based rubber blend shows similar tensile strength with significantly lower elongation at break and tear strength. The good mechanical properties of TPU/NBR-CBS can be explained by the long induction period, which allowed the rubber phase to disperse before vulcanization took place. In the TPU/NBR-DCP, the peroxide formed bonds not only in the rubber phase but also between the rubber and TPU phases, which is manifested in the high mixing torque and the result of the thermogravimetric analysis (TGA).
Design of vehicle certification schemes in IoV based on blockchain
Authors: Wu Junhua , Jin Zhenyu , Li Guangshun , Xu Zhuqing , Fan Cang , Zheng Yuanwang 
Published: August 2022

AbstractBecause of a large number of vehicles in Internet of Vehicle(IoV), distributed nodes and complex driving environment, data security and certification speed are easily affected. Blockchain enables different devices that do not trust each other to work together, maintain the general state in the process of information dissemination and sharing, and protect the privacy of devices. However, at present, the speed of vehicle certification in IoV is slow, and the use of idle resources is not considered. To address this problem, this paper provides a blockchain-based vehicle identity verification scheme by using a hybrid identity code verification method to ensure the nodes in the network securely share information. Meanwhile, a task processing algorithm based on time window is proposed to optimize the utilization of idle resources. In addition, the method is evaluated by simulation experiment, and the designed scheme can reduce malicious behavior of a registered vehicle in the network, and can shorten the processing task delay.
Spectral binning as an approach to post-acquisition processing of high resolution FIE-MS metabolome fingerprinting data
Authors: Finch Jasen P. , Wilson Thomas , Lyons Laura , Phillips Helen , Beckmann Manfred , Draper John 
Published: August 2022

Abstract
Introduction
Flow infusion electrospray high resolution mass spectrometry (FIE-HRMS) fingerprinting produces complex, high dimensional data sets which require specialist in-silico software tools to process the data prior to analysis.

Objectives
Present spectral binning as a pragmatic approach to post-acquisition procession of FIE-HRMS metabolome fingerprinting data.

Methods
A spectral binning approach was developed that included the elimination of single scan m/z events, the binning of spectra and the averaging of spectra across the infusion profile. The modal accurate m/z was then extracted for each bin. This approach was assessed using four different biological matrices and a mix of 31 known chemical standards analysed by FIE-HRMS using an Exactive Orbitrap. Bin purity and centrality metrics were developed to objectively assess the distribution and position of accurate m/z within an individual bin respectively.

Results
The optimal spectral binning width was found to be 0.01 amu. 80.8% of the extracted accurate m/z matched to predicted ionisation products of the chemical standards mix were found to have an error of below 3 ppm. The open-source R package binneR was developed as a user friendly implementation of the approach. This was able to process 100 data files using 4 Central Processing Units (CPU) workers in only 55 seconds with a maximum memory usage of 1.36 GB.

Conclusion
Spectral binning is a fast and robust method for the post-acquisition processing of FIE-HRMS data. The open-source R package binneR allows users to efficiently process data from FIE-HRMS experiments with the resources available on a standard desktop computer.
Students with and Without Relatives with Problematic Substance Use: Do They Differ in Health, Substance Use and Study Success?
Authors: van Namen Dorine M. , Hilberink Sander R. , de Vries Hein , van Staa AnneLoes , Nagelhout Gera E. 
Published: August 2022

Abstract
The aim of this cross-sectional study is (1) to describe the socio-demographic characteristics of students with relatives with problematic substance use and to examine differences between students with and without relatives with problematic substance use in (2) health, (3) substance use and (4) study success. We analyzed these differences in bivariate analyses between 881 (15.6%) students in a Dutch university population with relatives with problematic substance use (referred to as Affected Family Members (AFMs) and 4,781 students without such relatives. AFMs reported poorer health and used more substances, especially cannabis, than did non-AFM students and drank more often alone than did their peers. AFMs had more frequently study delay and missed class more often because of drug use. AFMs with more than one relative with problematic substance use had poorer health than AFMs with only one relative. Effect sizes were small to moderate. Health and educational professionals should provide support to deal with difficult life circumstances, for example, trauma-informed care programs.
Developing Superhydrophobic Surface Using Multi Jet 3D Printing Durability Analysis
Authors: Chand Ramesh , Sharma Vishal S. , Trehan Rajeev , Verma Rajeev , Gupta Munish Kumar , Srivastava Shekhar 
Published: August 2022

AbstractSuperhydrophobicity is a surface property used in several sectors, including self-cleaning, drag reduction, improved buoyancy, and antibacterial behavior of the surfaces. The majority of available approaches for creating superhydrophobic surfaces (SHS) are complex and time-consuming. Goal: This article aims to fabricate the SHS by using Multi jet printer three-dimensional (3D) printing. Methods: The texture of cylindrical protrusions (diameter 300 Micro Meter (µm), pitch 400 and 500 µm) and pyramidical (side 200 µm, side by side distance 200 µm, and height 800 µm) micro-pattern were created using Three-Dimensional Printing (3DP) to achieve the SHS. Results: The fabricated geometries yielded a water contact angle of 145 and 148°, respectively. In order to enhance the durability and Water Contact Angle (WCA), 3D printed geometry was treated with an aqueous solution of silica nanoparticles and Hexafor 644-D, which increased the contact angles to 161 and 160° for cylindrical and pyramid patterns, respectively. The reported geometries are durable against peeling tape tests. Hence MJP, based on 3DP, can be used to fabricate the SHS having the geometries height in micron (µm).
Outcomes of Endoscopic Sleeve Gastroplasty in the Elder Population
Authors: Matteo Maria V. , Bove Vincenzo , Pontecorvi Valerio , De Siena Martina , Ciasca Gabriele , Papi Massimiliano , Giannetti Giulia , Carlino Giorgio , Raffaelli Marco , Costamagna Guido , Boškoski Ivo 
Published: August 2022

Abstract
Purpose
With the aging of the population and the epidemic spread of obesity, the frequency of older individuals with obesity is steadily growing. To date, no data evaluating the use of endoscopic sleeve gastroplasty (ESG) in the elderly have been published. In this case series, we evaluate the short- and medium-term outcomes of ESG in patients with obesity aged 65 years and older.

Materials and Methods
A retrospective analysis was done on a prospective database; patients aged 65 years and older were included in our analysis. EWL%, TBWL%, the Bariatric Analysis and Reporting Outcome System (BAROS) questionnaire, and the presence of comorbidities were assessed.

Results
Eighteen patients aged 65 years and older underwent ESG between November 2017 and July 2021. The median age was 67 years and the mean baseline BMI was 41.2 kg/m2. After ESG, the median TBWL% was 15.1%, 15.5%, and 15.5% at 6, 12, and 24 months, while the median %EWL was 39%, 37%, and 41% at 6, 12, and 24 months, respectively. The median BAROS score was 3.0, 3.4, and 2.5 at 6, 12, and 24 months, respectively. Six out of twelve patients with hypertension and 3/4 diabetic patients reduced or removed their medications within 12 months following ESG. Two out of six patients with OSA stopped therapy with CPAP. No adverse events were recorded.

Conclusion
According to our experience, ESG is a promising therapeutic option for elder individuals with obesity who fail non-invasive methods, and who refuse or are deemed not suitable for bariatric surgery because of age and comorbidities.

Graphical abstract
Impact of enzymatically synthesized aliphatic–aromatic polyesters with increased hydroxyl group content on coating properties
Authors: Knospe Philipp , Seithümmer Julia , Reichmann René , Gutmann Jochen S. , Hoffmann-Jacobsen Kerstin , Dornbusch Michael 
Published: August 2022

AbstractNowadays, coating systems have to fulfill a wide range of requirements. In addition to mechanical properties such as hardness and elasticity, resistance and weatherability, specifically corrosion or chemical resistance are also important. Increasing attention is also being paid to points such as the use of sustainable reactants or the energy optimization of synthesis processes.1 The use of enzymes in the synthetic processes offers two main advantages: firstly, reaction temperatures can be significantly reduced, for example in the production of polyesters, and as a result and a major advantage, certain functional groups can be selectively retained during the reaction.2,3 Thus, for example, aromatic hydroxyl groups can be obtained, while aliphatic groups are esterified.4,5 This allows the preparation of polyesters that do not only have terminal OH groups, but hydroxyl groups within the chain that can act as additional crosslinking points during network formation or as adhesion-promoting groups.6,7 In this work, the influence of such an aliphatic–aromatic polyester, produced enzymatically at low temperatures, on the coating properties is investigated when using different hardener components. Coating formulations were created, and the required OH functionality and the hydroxyl number of the enzymatic polyester have been calculated by using two different, independent methods. Besides the development of guide formulations, the unique mechanical properties of coatings based on the enzymatic polyester were studied. In addition to comparative analysis of network densities, the coatings were also investigated by IR spectroscopy in order to assess the network formation reaction spectroscopically. It can be shown that additional OH groups in the polyester chain increase the network density, but this is not at the expense of elasticity. Thus, enzymatically produced polyesters combine the advantages of low reaction temperatures during production with a unique property profile due to aliphatic and aromatic moieties as well as the partial preservation of OH groups within the chain.
Preparation of carbon materials from chromium-tanned leather shavings for the removal of dyes from aqueous solution
Authors: Arcibar-Orozco Javier A. , Barajas-Elías Bertha S. , Baltazar-Campos Hazael , Rangel-Mendez Rene 
Published: August 2022

AbstractChromium-Tanned Leather Shavings are hazardous residues generated during leather processing. Since they contain considerable amounts of chromium, they represent a threat to life and the environment if managed improperly. The present study examines the transformation of such residues into carbon adsorbents and their use in the removal of azo dyes (methylene blue, Congo red and acid black 210) from water. The effects of temperature, holding time and the presence of an activating agent were studied, and basic characterization of the produced materials was performed. Carbon materials contain a low amount of chromium and an improved surface area that was only developed when high temperatures and an activating agent were employed. Depending on the synthesis conditions, the adsorbents’ surface charge was positive or negative, which impacts the dye uptake from aqueous solution. Both the chemical speciation of the dye and the material´s pore volume played a critical role during the adsorption process. It is possible to obtain carbon materials from Chromium-Tanned Leather Shavings, containing no hazardous chromium(VI) particles, that are capable of removing polluting dyes from water.
Ranking and optimizing the rain-gauge networks using the entropy–copula approach (Case study of the Siminehrood Basin, Iran)
Authors: Tabatabaei Seyed Mostafa , Dastourani Mehdi , Eslamian Saeid , Nazeri Tahroudi Mohammad 
Published: August 2022

AbstractThe existence of reliable rain-gauge networks is a necessity in managing water sources and the relevant environmental issues in any basin. The present study aimed to investigate the rain-gauge network and rank the rain-gauge stations in the Tazehkand sub-basin in the southwest of Lake Urmia, Iran, using the entropy–copula approach using the data obtained from six rain-gauge stations in the Siminehrood basin in Northwestern Iran between 1981 and 2019. The interaction effects of the stations were investigated using the copula simulation approach instead of the multivariate regression analysis. The R-vine was selected as the most convenient copula after investigating various vines using the statistics related to error investigation. Then, the interaction effects of the stations were investigated using the R-vine. The rainfall in each station was estimated by considering the rainfall of other stations. Moreover, the more prevalent multivariate regression analysis was implemented, and its results were compared with the results obtained from the vine simulation approach. The results of the comparison according to the NSE statistic showed that the vine simulation approach was above 90% across all stations. The estimates for the ITI and N(i) indices of each station using the entropy theory showed the shortage of stations in the investigated area. The stations were in average, above-average, and surplus modes according to the ITI index. The rating concerning the N(i) index indicated that the Dashband station was the most appropriate one in terms of communicating with other stations and conveniently covering the plain.
Estimating potential reference evapotranspiration using time series models (case study: synoptic station of Tabriz in northwestern Iran)
Authors: Abedi-Koupai Jahangir , Dorafshan Mohammad-Mahdi , Javadi Ali , Ostad-Ali-Askari Kaveh 
Published: August 2022

AbstractThe potential evapotranspiration is considered as an important element of the hydrological cycle, which plays an important role in agricultural studies, management plans of irrigation and drainage networks, and hydraulic structures. Estimating the potential evapotranspiration reference of particular climatic regions at different time scales, which is one of the most important atmospheric parameters, is of a particular importance in the optimal use of resources. The time series analysis method, GARCH model, is applied in order to investigate changes and estimate the potential evapotranspiration. In the present study, the efficiency of GARCH series model related to processes of modeling and estimating potential evapotranspiration, which is estimated by FAO Penman–Monteith and Hargreaves methods, was investigated. Also, future values of potential evapotranspiration are modelled and estimated at the synoptic station of Tabriz. Results showed that Time Series is considered as a precise tool to estimate evapotranspiration values. It was found that GARCH (1.1) time series has better results for FAO Penman–Monteith and Hargreaves methods compared to other models; also, it simulates the process of time series changes with less error. Observed and predicted evapotranspiration charts of both methods indicated that observational evapotranspiration was highly close to the lower limit of estimated evapotranspiration. Therefore, applying lower limit estimation as a prediction value was suggested.
Review on potential and challenges of aquaculture practice in Ethiopia
Authors: Chimdo Ayana 
Published: August 2022

AbstractThe purpose of this review is to assess Ethiopia's fish stocks, capacities, challenges and aquaculture practices. Although Ethiopia has many rivers and lakes used for fish production, there are still problems related to fish production and productivity to increase private interests and the country's gross domestic product. In the country, it is fact that the main challenge contributed to low production and aquaculture practice including site and species selection, environmental impact, lack of awareness, inefficient fishing gears, poor transportation access, poor postharvest handling, low price at the landing site, improper market place and lack of infrastructure and technologies. Also traditional means of fish preservation and transportation contributed much to the low quality of preserved fish and short lifespan of fish products. All fishing activities are carried out in the natural environment and aquaculture has not yet been established in the country. In order to develop effective aquaculture in Ethiopia, it is first necessary to assess its true potential and thereby develop effective strategies. Practical introduction and training of business owners and filling of all necessary aquaculture systems are the pillars.