bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Fiber Type and Content on Surface Quality and Removal Mechanism of Fiber-Reinforced Polyetheretherketone in Ultra-Precision Grinding
Authors: Gao Shang , Zhou Xinyu , Guo Jiani , Kang Renke
Published: October 2022

Polyetheretherketone (PEEK) is a promising thermo-plastic polymer material due to its excellent mechanical properties. To further improve the mechanical properties of PEEK, different kinds of short fibers are added into the PEEK matrix. The grinding machinability of short-fiber-reinforced PEEK varies with the effect of fiber type and content. Therefore, it is crucial to investigate the surface quality and removal mechanism of fiber-reinforced PEEK in ultra-precision grinding. In this paper, different fiber types and mass fractions of short-fiber-reinforced PEEK, including carbon-fiber-reinforced PEEK (CF/PEEK) and glass-fiber-reinforced PEEK (GF/PEEK), are employed. The grinding machinability of short-fiber-reinforced PEEK was investigated using grinding experiments with grinding wheels of different grit sizes. The effects of the fiber type and mass fraction on the surface quality and removal mechanism during grinding were discussed. The results showed that the brittle–ductile transition depth of carbon fiber was much larger than that of glass fiber, so it was easier to achieve ductile removal in grinding with the carbon fiber. Therefore, the ground surface roughness of CF/PEEK was smaller than that of GF/PEEK under the same grinding conditions. With the increase in carbon fiber mass fraction, the ground surface roughness of CF/PEEK decreased due to the higher hardness. The brittle–ductile transition depth of glass fiber was small, and it was easy to achieve brittle removal when grinding. When the glass fiber removal mode was brittle removal, the GF/PEEK surface roughness increased with the increase in glass fiber content.
Thermal, Mechanical, and Morphological Characterisations of Graphene Nanoplatelet/Graphene Oxide/High-Hard-Segment Polyurethane Nanocomposite: A Comparative Study
Authors: Albozahid Muayad , Naji Haneen Zuhair , Alobad Zoalfokkar Kareem , Wychowaniec Jacek K. , Saiani Alberto
Published: October 2022

The current work investigates the effect of the addition of graphene nanoplatelets (GNPs) and graphene oxide (GO) to high hard-segment polyurethane (75% HS) on its thermal, morphological, and mechanical properties. Polyurethane (PU) and its nanocomposites were prepared with different ratios of GNP and GO (0.25, 0.5, and 0.75 wt.%). A thermal stability analysis demonstrated an enhancement in the thermal stability of PU with GNP and GO incorporated compared to pure PU. Differential Scanning Calorimetry (DSC) showed that both GNP and GO act as heterogeneous nucleation agents within a PU matrix, leading to an increase in the crystallinity of PU. The uniform dispersion and distribution of GNP and GO flakes in the PU matrix were confirmed by SEM and TEM. In terms of the mechanical properties of the PU nanocomposites, it was found that the interaction between PU and GO was better than that of GNP due to the functional groups on the GO’s surface. This leads to a significant increase in tensile strength for 0.5 wt.% GNP and GO compared with pure PU. This can be attributed to interfacial interaction between the GO and PU chains, resulting in an improvement in stress transferring from the matrix to the filler and vice versa. This work sheds light on the understanding of the interactions between graphene-based fillers and their influence on the mechanical properties of PU nanocomposites.
The Preparation and Wear Behaviors of Phenol–Formaldehyde Resin/BN Composite Coatings
Authors: Zang Chao , Xing Yaping , Yang Tingting , Teng Qi , Zhen Jinming , Zhang Ran , Jia Zhengfeng , Han Weifang
Published: October 2022

Phenolic-matrix composites possess excellent synergistic effects on mechanical and tribological properties and can be used in the aerospace, medical, and automobile industries. In this work, a series of phenol–formaldehyde resin/hexagonal boron nitride nanocomposites (PF/BNs) were in situ synthesized using an easy method. PF/BN coatings (PF/BNCs) on 316L steels were prepared through a spin-casting method. The wear behaviors of these PF/BNCs were investigated by dry sliding with steel balls. The percentage of BN, the thickness of the coating, and the heat treatment temperature affected the coefficients of friction (COFs) and wear rates of these coatings. After heat treatment at 100 °C, the tribological properties of the PF/BNCs were remarkably improved, which might be attributed to both the transformation of carbon on the worn surfaces from C-O/C=O into C=N, carbide, and other chemical bonds and the cross-linking of the prepolymers.
Surface Modification on Polyimide Yarn by Plasma Treatment to Enhance Adhesion with Polypropylene Resin
Authors: Cui Hong , Gao Xiuli
Published: October 2022

Polyimide yarn as a kind of high performance fiber material has to improve the adhesion between the material surface and the resin in order to get a deeper application. The surface of polyimide yarn is modified by low temperature plasma treatment, and the effect of plasma treatment parameters on the adhesion between polyimide yarn and polypropylene resin is studied. By comparing the extraction force on the surface of polyimide yarn before and after treatment, the effect of plasma treatment parameters such as treatment time, processing gas and treating power on yarn adhesion is investigated. Furthermore, the adhesive force between polyimide yarn and polypropylene resin is analyzed by a single factor to optimize the process parameters to obtain higher adhesive force. Additionally, the Box–Behnken design is utilized to optimize the plasma treatment parameters, and the significance of the influence of the plasma treatment parameters on the adhesion between the polyimide fiber and the resin is discussed. The optimal process parameters are obtained through analysis: the treatment time 90 s, the processing gas oxygen, and the treating power 150 W.
Preparation and Properties of Partial-Degradable ZrO2–Chitosan Particles–GelMA Composite Scaffolds
Authors: Ji Yang , Hou Mengdie , Zhang Jin , Jin Meiqi , Wang Tianlin , Yang Huazhe , Zhang Xiaodong
Published: October 2022

In the field of bone repair, the inorganic–organic composite scaffold is a promising strategy for mimicking the compositions of the natural bone. In addition, as implants for repairing load-bearing sites, an inert permanent bone substitute composites with bioactive degradable ingredients may make full use of the composite scaffold. Herein, the porous zirconia (ZrO2) matrix was prepared via the template replication method, and the partial degradable ZrO2–chitosan particles–GelMA composite scaffolds with different chitosan/GelMA volume ratios were prepared through the vacuum infiltration method. Dynamic light scattering (DLS) and the scanning electron microscope (SEM) were adopted to observe the size of the chitosan particles and the morphologies of the composites scaffold. The mechanical properties, swelling properties, and degradation properties of the composite scaffolds were also characterized by the mechanical properties testing machine and immersion tests. The CCK-8 assay was adopted to test the biocompatibility of the composite scaffold preliminarily. The results show that chitosan particles as small as 60 nm were obtained. In addition, the ratio of chitosan/GelMA can influence the mechanical properties and the swelling and degradation behaviors of the composites scaffold. Furthermore, improved cell proliferation performance was obtained for the composite scaffolds.
Synthesis of a Novel Hyperbranched Polyimide for Reinforcing Toughness and Insulating Properties of Bismaleimide Resin
Authors: Yu Lida , Yu Yang , Shi Jiahao , Zhang Xiaorui , Gao Feng , Li Chenhao , Yang Zhou , Zhao Jingui
Published: October 2022

Bismaleimide (BMI) resin has great potential in aerospace, electronic, and machinery fields due to its extraordinary thermal stability. Owing to BMI’s lower impact strength, various modified BMI resins have been prepared using CTBN, PEEK, fillers, and hyperbranched polymer to achieve higher impact strength. However, enhancement of toughness causes deterioration of other performance, such as Tg, thermal stability, and brittleness. In this work, BMI resin modified by hyperbranched polyimide (HBPI) was obtained. HBPI designed with flexible segments, unsaturated bonds, and a low degree of branching was synthesized. FT-IR and 13C-NMR were applied to confirm the successful fabrication of HBPI. The mechanical strength and dielectric properties of cured BMI resin containing various levels of HBPI were analyzed systematically. The impact and bending strength were improved significantly with increased HBPI content. When the content of HBPI is 40 wt.%, the impact strength and bending strength reach the maximum value of 32 kJ/mm and 88 MPa. In addition, the BMI cured with HBPI exhibits enhanced bending modulus to the value of 5.9 GPa. Furthermore, the dielectric strength of cured resin was improved to 28.3 kV/mm. The improved mechanical strength and enhanced dielectric properties are attributed to the increasing free volume induced by HBPI. These results indicate the promise of BMI resin modified by HBPI applied in insulating coatings and low dielectric laminates used in high frequency.
Chitosan-Functionalized-Graphene Oxide (GO@CS) Beads as an Effective Adsorbent to Remove Cationic Dye from Wastewater
Authors: Nayl AbdElAziz A. , Abd-Elhamid Ahmed I. , Arafa Wael A. A. , Ahmed Ismail M. , El-Shanshory Ahmed A. , Abu-Saied Mohamed A. , Soliman Hesham M. A. , Abdelgawad Mohamed A. , Ali Hazim M. , Bräse Stefan
Published: October 2022

In this study, the preparation of graphene oxide@chitosan (GO@CS) composite beads was investigated via continuous dropping techniques to remove methylene blue (MB)-dye from an aqueous media. The prepared beads were characterized using various techniques before and after the adsorption of MB. The experimental results showed that the adsorption processes fit the kinetic pseudo-second-order and Langmuir isotherm models. Moreover, the GO@CS beads achieve maximum adsorption capacities of 23.26 mg g−1, which was comparable with other adsorbents in the literature. An important advantage of our adsorbent is that the GO@CS can remove 82.1% of the real sample color within 135 min.
Custom-Shaped Carbon Xerogel Materials by 3D Printing
Authors: Wolfs Cédric , Lambert Stéphanie D. , Léonard Alexandre F. , Mahy Julien G.
Published: October 2022

Sol–gel-based carbon xerogels possess very promising properties for pollution abatement, using processes that associate adsorption and on-site electrochemical oxidation. However, combining a high exterior surface area (for efficient diffusion) and a monolithic shape (necessary for electrochemical processes) poses challenges. In this work, the shape of monolithic carbon xerogels was contrived by the use of 3D-printed molds. Several parameters were optimized: the choice of mold design, the choice of plastic, the 3D printer parameters, the solvent, and the process of dissolving the plastic. A design combining fine sticks and plates made of ABS was printed; a sol–gel carbon xerogel monolith was synthesized in it, and the mold was removed by using a combination of acetone and pyrolysis. Dissolving the plastic could be carried out by placing the material on a metallic net and leaving the dissolved ABS to settle. The resulting carbon material exhibits a high exterior surface area and good strength, leading to potential uses in the aforementioned process. The research shows that 3D printing is an efficient method of parameter optimization in pre-industrialization research, thanks to its flexibility, low cost, and ease of use.
Microscopic Mechanism on the Heat Conduction of Organic Liquids: A Molecular Dynamics Study
Authors: Fan Jing , Wang Hao , Song Fenhong , Hou Yandong , Liu Shuangshuo
Published: October 2022

The research on energy conversion and transportation of fuels at a microscopic level is of great significance to the development of industry. As a new alternative fuel, alcohols are widely used in industry and daily life, so it is necessary to investigate the thermophysical properties of them. In this work, seven species of pure liquid alcohols were performed to investigate the microscopic mechanisms of thermal energy transfer by non-equilibrium molecular dynamic (NEMD) method. Firstly, the thermal conductivity of alcohols was calculated and was found to be consistent with the experimental data. Then, the influence of temperature on energy transfer is investigated, the results show that the contribution of convection energy transfer increases and both the inter- and intramolecular terms decrease with the increase of temperature. Finally, the influence of molecular length on energy transfer was investigated at the same temperature, and it is concluded that the contribution of the convective term decreases and the interactive term increases to the total heat flux with increasing the length of the chain. It is worth mentioning that the contribution of intramolecular energy transfer gradually becomes a dominant part of the total energy transfer as the linear chain molecule increases to a certain length and the number of carbon atoms at the intersection point of inter- and intramolecular energy transfer is similar to the turning point of thermal conductivity.
Physicochemical Analysis of Cold Brew and Hot Brew Peaberry Coffee
Authors: Schwarzmann Evan T. , Washington Marlena P. , Rao Niny Z.
Published: October 2022

Peaberry coffee is the result of a natural mutation of coffee beans, and they make up only about 5–7% of coffee crops. A typical coffee cherry contains two seeds that are developed against each other, resulting in the distinctive half-rounded shape of coffee beans. However, failing to fertilize both ovules of one of the seeds or failure in endosperm development can cause only one of the seeds to develop, resulting in smaller, denser beans with a more domed shape. Peaberry coffees are said to be sweeter, lighter, and more flavorful since the peaberry beans receive all nutrients from the coffee cherry. Due to its exclusive nature, the chemical characteristic of peaberry coffee is not well understood. This study explores the acidities and antioxidant activity of peaberry coffee sourced from multiple regions. Total antioxidant capacity, total caffeoylquinic acid (CQA), total caffeine concentration, and pH levels were evaluated for peaberry coffee extracts prepared by cold and hot brewing methods. Little correlation between antioxidant activity and the concentrations of caffeine and CQA in peaberry beans was shown. Six methods were performed for the characterization of total antioxidant capacity including cyclic voltammetry, ABTS assay, and FRAP assay. Peaberry bean extract demonstrated higher average total caffeine concentrations compared to traditional coffee bean extracts.
New Model for Non-Spherical Particles Drag Coefficients in Non-Newtonian Fluid
Authors: Liu Jiankun , Hou Zhaokai , Xu Guoqing , Yan Lipeng
Published: October 2022

The settlement drag coefficient of non-spherical particles (SDCNPs) is a crucial parameter in the field of petroleum engineering. Accurately predicting the SDCNPs in the fluid is essential to the selection and design of proppant and hydraulic design in the fracturing scheme. Although many models for anticipating the SDCNPs have been proposed, none of them can be adopted for non-Newtonian fluid (NNF) and Newtonian fluid (NF). In the investigation, the SDCNPs in NF and NNF are studied experimentally, and the anticipation mode of the settlement drag coefficient of spherical particles (SDCSPs) in different fluids (including Newton, Herschel-Bulkley and power law) is proposed. On this basis, the shape depiction parameter circularity is introduced to develop the SDCNPs. The results exhibit that the predicted values of the SDCNPs model perfectly align with the experimental values, and the average relative errors are 5.70%, 6.24% and 6.72%, respectively. The mode can accurately describe the settlement behavior of non-spherical particles (NSPs) and provide a basis for the application of NSPs in petroleum engineering.
Process Development for Methyl Isobutyl Ketone Production Using the Low-Pressure One-Step Gas-Phase Selective Hydrogenation of Acetone
Authors: Al-Rabiah Abdulrahman A. , Alkathiri Raed R. , Bagabas Abdulaziz A.
Published: October 2022

Methyl isobutyl ketone (MIBK) is a highly valuable product in the chemical industry. It is widely used as an extracting agent for heavy metals, antibiotics, and lubricating oils. Generally, MIBK can be produced by three-step and one-step liquid-phase methods. These methods are expensive and energy-demanding due to the high pressure and low conversion of acetone. A novel nano-Pd/nano-ZnCr2O4 catalyst was developed to produce MIBK with high conversion and selectivity of 77.3% and 72.1%, respectively, at 350 °C and ambient pressure, eliminating the need for high pressure in conventional MIBK processes. This study is the first that proposes a newly developed process of methyl isobutyl ketone (MIBK) production using the low-pressure one-step gas-phase selective hydrogenation of acetone. In this work, a novel process flow diagram has been developed for the production of MIBK using the developed nano-catalyst. The process was heat integrated, resulting in a 26% and a 19.5% reduction in the heating and cooling utilities, respectively, leading to a 12.6% reduction in the total energy demand. An economic analysis was performed to determine the economic feasibility of the developed process, which shows that the process is highly profitable, in which it reduced both the capital and operating costs of MIBK synthesis and showed a return on investment (ROI) of 29.6% with a payback period of 2.2 years. It was found that the ROI could be increased by 18% when the reactor temperature is increased to 350 °C. In addition, the economic sensitivity analysis showed that the process is highly sensitive to product prices and least sensitive to utility prices, which is due to the versatility of the process that requires only a low amount of energy.
The Failure Law and Control Technology of Large-Section Roadways in Gently Inclined Soft Coal Seams
Authors: Ma Qi , Zhang Yidong , Zhang Xingrun , Li Zexin , Song Guangyuan , Cheng Jingyi , Gao Kuidong
Published: October 2022

The proportion of the coal and rock masses in different areas of surrounding rocks is quite different when a large-section coal roadway is excavated in gently inclined soft coal seams. Different creep failure occurs in coal and rock masses under high stress, which results in uneven deformations of roadways and difficulties in maintenance. This work studied the belt grooves of the 2103 working face in the lower coal group of the Wulihou Coal Mine. Theoretical analysis and measured geomechanical evaluation were used to analyze the failure causes of the surrounding rocks of the roadway. The failure law of large-section roadways in the gently inclined soft coal seams was studied using finite-difference numerical simulation software. Combined with the results of mathematical analysis, surrounding rocks were divided into regions. Surrounding-rock control schemes for different areas, such as grouting reinforcement, strengthening support, and pressure-relief grooving, were proposed separately and verified by numerical simulations. Strengthening the supports could reduce the deformations of area I, and pressure-relief grooving could control the deformations of area IV. The roadway and support system formed an anchored composite supporting body after grouting reinforcement, which greatly improved the bearing capacity and controlled the deformations of surrounding rocks. The fine on-site application effect and the improved non-symmetrical deformation verified the theoretical analysis, numerical simulations, and control technologies. The results provide a scientific basis and useful reference for similar projects.
Social Media Strategy Processes for Centralized Payment Network Firms after a War Crisis Outset
Authors: Sakas Damianos P. , Giannakopoulos Nikolaos T. , Terzi Marina C. , Kamperos Ioannis Dimitrios G. , Nasiopoulos Dimitrios K. , Reklitis Dimitrios P. , Kanellos Nikos
Published: October 2022

From the outset of the war in Ukraine, extensive crises in many sectors of the world economy have occurred, with firms offering services and products both online and through physical stores facing serious problems. These problems are mainly related to higher operational costs and the lack of website visibility. For this research study, centralized payment network organizations (CPNs), firms providing online payment services through their networks, were selected and analytical data from their websites were collected for a period of 6 months. The main focus of this research study is to evaluate benefits and the role of social media strategies for CPNs’ digital marketing performance during crisis events and to also assess their utility as a risk-management tool. Following data collection, the authors performed statistical processes (regression and correlation analysis) and stationary modeling with Fuzzy Cognitive Mapping (FCM) tools; finally, dynamic simulations were performed by utilizing Agent-Based Models (ABM). The authors suggest that various variables of CPNs’ social media platforms can aid in improving their digital marketing performance and, using proper analysis, can lead to higher user social engagement, thus rendering social media strategy a useful risk-management tool.
Preliminary Experimental Results and Modelling Study of Olive Kernel Gasification in a 2 MWth BFB Gasifier
Authors: Lampropoulos Athanasios , Zubillaga Idoya Goñi , Pérez-Vega Raúl , Ntavos Nikolaos , Fallas Yannis , Varvoutis Georgios
Published: October 2022

Gasification is a promising and attractive thermochemical method for biomass-to-energy conversion, with fluidized bed reactors being one of the best options for large-scale operations. Olive residues in particular are potentially excellent candidate biomass fuels in the Mediterranean area, due to the region’s increased capacity in olive oil production. Herein, the gasification experiments of olive kernels in a 2 MWth air-blown, bubbling fluidized bed reactor located at CENER’s facilities (BIO2C) in Navarra, Spain are presented. Even though technical issues were demonstrated due to the operation of the plant with a high-density biomass fuel and given the scale of the process, a quasi-steady-state and isothermal 12 h operation at an equivalence ratio of 0.25 ± 0.03 was attained. Given the satisfactory experimental results, an Aspen Plus simulation model of the process was also attempted. Notably, the proposed methodology agrees well with the experimental results and can be regarded as a starting point in future studies examining the gasification of relevant biomass in a MW-scale unit. Next, the effect of equivalence ratio and residual biomass moisture content were also evaluated, with the scope of designing future experiments that require minor modifications in the already existing apparatus. Finally, a syngas utilization route through the provision of energy for district heating purposes in the nearby village of Aoiz was proposed.
Effect of Sulfate, Citrate, and Tartrate Anions on the Liquid-Liquid Equilibrium Behavior of Water + Surfactant
Authors: Jimenez Otto A. Q. , Costa Josiel M. , de Souza Bruno R. , Medeiros Abimael C. , Monteiro-Junior Edson G. , Basso Rodrigo C.
Published: October 2022

Cloud point extraction is a versatile method aimed at separating compounds from complex mixtures and arouses great technological interest, particularly among the biochemical industries. However, one must have deep knowledge of the liquid–liquid equilibrium behavior of systems to properly use the method. Thus, we used thermodynamic parameters to evaluate the effect of citrate, sulfate, and tartrate anions on the phase separation of water + Triton X-114® mixtures at 283.2 K, 293.2 K, and 303.2 K. In these systems, increasing the temperature and the anion molar fraction expanded the biphasic region in the following order: C6H5O73-> SO42- >  C4H4O62−. Unlike other studies based on the Hofmeister series, the Gibbs free energy of micellization correlated the anion effect on the biphasic region with the spontaneity of the micelle formation. The water molecules structured around these anions were evaluated according to the shell volume of the immobilized water by electrostriction, volume of water around the hydration shell, Gibbs free energy of hydration, and Gibbs free energy of electrostriction (ΔGel12). The citrate anion presented a higher ΔGel12 of −1781.49 kJ mol−1, due to the larger number of electrons around it. In addition, the partition coefficient of the surfactant in the two liquid phases revealed a linear dependence upon the anion mole fractions by following the previous anion sequence and temperature in the phase separation.
Soot Distribution Characteristics and Its Influence Factors in Burner-Type Regeneration Diesel Particulate Filter
Authors: Jia Guohai , Tian Guoshuai , Zuo Hongyan , Zhong Chao , Zhang Bin
Published: October 2022

The burner-type regeneration diesel particulate filter is one of the most widely used diesel particulate filters. Using AVL FIRE, a 3D model of a burner-type regeneration diesel particulate filter (DPF) was established, and simulation analyses were carried out. The effects of the exhaust parameters (temperature, exhaust mass flow rate, and soot load) and the structural parameters (channel density, inlet/outlet channel ratio, and the length–diameter ratio) on soot distribution (soot mass concentration and soot thickness) were analyzed. The results show that the soot distribution characteristics of regenerative DPF with a burner are as follows: the soot mass concentration first rapidly rises to the maximum value and then rapidly decreases to a low value, and the dust thickness gradually increases with the increase in location. With the increase in exhaust mass flow rate and soot load, soot mass concentration and soot thickness increase. With the increase in temperature, the mass concentration and thickness of the ash decreased. When the temperature exceeds 750 K, soot begins to regenerate. Among the exhaust parameters, the mass flow rate of the exhaust has the greatest influence on the soot distribution. The length–diameter ratio, the ratio of the inlet and the outlet channel, and channel density have little effect on the mass concentration of soot, and the soot mass concentration increases with the increase in channel density. In addition to the length–diameter ratio of 2.1, the soot thickness increases with the increase in the length–diameter ratio, and the rising rate is also accelerated. The thickness of soot decreased with the increase in channel density and the ratio of the inlet and the outlet channels. When the channel density is more than 250, the change in soot thickness is basically the same. When the ratio of the inlet and the outlet channels exceeds 1.3, the change in the soot thickness is basically the same. Among the structural parameters, channel density has the greatest influence on the soot distribution.
Genetic Algorithm-Based Mach Number Control of Multi-Mode Wind Tunnel Flow Fields
Authors: Yu Wenshan , Su Beichen , Rao Zhengzhou , Pan Hengxin , Zhao Luping
Published: October 2022

There are unfavorable conditions such as constantly changing working conditions and frequent disturbances that affect Mach number control in wind tunnel flow fields. As the proportional, integral and differential (PID) parameters need to be re-tuned for each working conditions of a wind tunnel, the operational costs of wind tunnels are very high. Therefore, to lower these costs, a genetic algorithm was utilized to tune the PID parameters to achieve Mach number control of a multi-mode wind tunnel flow field. In this paper, firstly, models for the multi-mode wind tunnel were established; secondly, a PID control system was designed based on the genetic algorithm and the control effects of the proposed PID control system were verified by simulations and were compared with the effects of a PSO tuning PID control system.
Accurate Effective Diffusivities in Multicomponent Systems
Authors: Rios William Q. , Antunes Bruno , Rodrigues Alírio E. , Portugal Inês , Silva Carlos M.
Published: October 2022

Mass transfer is an omnipresent phenomenon in the chemical and related industries for which effective diffusivities (Di,eff) constitute a useful and simple mathematical tool, especially when dealing with multicomponent mixtures. Although several models have been published for Di,eff they generally involve simplifying assumptions that severely restrict their use. The current work presents the derivation of accurate analytical equations for Di,eff, which take into account the nonideal behavior of multicomponent mixtures. Additionally, it is demonstrated that for an ideal mixture the new model reduces to the well-known equations of Bird et al., which are the exact analytical solution for ideal systems. The procedure for Di,eff estimation is described in detail and exemplified with two chemical reactions: the liquid phase ethyl acetate synthesis and the high pressure gas phase methanol synthesis. Relative to the Bird et al. ideal equations the effective diffusivities calculated with the new model show differences up to 38% for ethyl acetate synthesis when using UNIFAC model to evaluate activity coefficients. For methanol synthesis, deviations from −23% to 22% are found using PC-SAFT equation of state (EoS) and from −49% to 24% when applying the Peng–Robinson EoS to estimate fugacity coefficients. Comparisons are also performed with the models by Wilke, Burghardt and Krupiczka, Kubota et al., and Kato et al. The worst results are achieved by the Wilke and Kubota et al. equations for the liquid phase and gas phase reactions, respectively. Furthermore, it is shown that substantial errors in effective diffusivity calculations may occur when deviations from the ideal behavior are unaccounted for. This can be avoided by adopting the new rigorous approach here presented.
The ELIMAIA Laser–Plasma Ion Accelerator: Technological Commissioning and Perspectives
Authors: Schillaci Francesco , Giuffrida Lorenzo , Tryus Maksym , Grepl Filip , Stancek Stanislav , Velyhan Andriy , Istokskaia Valeriia , Levato Tadzio , Petringa Giada , Cirrone Giuseppe , Cupal Josef , Koubiková Lucia , Peceli Davorin , Jarboe Jeffrey , de Castro Silva Tarcio , Cuhra Martin , Chagovets Timofej , Kantarelou Vasiliki , Tosca Marco , Ivanyan Vahagn , Greplová Žáková Martina , Psikal Jan , Truneček Roman , Cimmino Anna , Versaci Roberto , Olšovlcová Veronika , Kramer Daniel , Bakule Pavel , Ridky Jan , Korn Georg , Rus Bedrich , Margarone Daniele
Published: October 2022

We report on the technological commissioning of the Laser–Plasma Ion Accelerator section of the ELIMAIA user beamline at the ELI Beamlines facility in the Czech Republic. The high-peak, high-average power L3-HAPLS laser system was used with an energy of ~10 J and pulse duration of ~30 fs on target, both in single-pulse and high repetition-rate (~0.5 Hz) mode. The laser pulse was tightly focused to reach ultrahigh intensity on target (~1021 W/cm2) and sustain such laser–plasma interaction regime during high repetition-rate operations. The laser beam, ion beam, and laser–plasma emission were monitored on a shot-to-shot basis, and online data analysis at 0.5 Hz was demonstrated through the full set of used diagnostics (e.g., far and near field, laser temporal diagnostics, X- and gamma-ray detectors, Thomson Parabola ion spectrometer, time-of-flight ion detectors, plasma imaging, etc.). The capability and reliability of the ELIMAIA Ion Accelerator was successfully demonstrated at a repetition rate of 0.5 Hz for several hundreds of consecutive laser shots.
Microwave-Assisted Synthesis of Tri-Substituted 1,3,5-Triazines from Metformin Using Benzotriazole Chemistry
Authors: Panda Siva S. , Thomas Eyana , Pham Ashley M.
Published: October 2022

A simple, metal-free, cost-effective, and eco-friendly protocol for the preparation of trisubstituted 1,3,5 triazine from metformin using benzotriazole chemistry is reported. Short reaction time, large-scale synthesis, easy and quick isolation of the product, and excellent yield are the main advantages of this procedure. Furthermore, the use of benzotriazole chemistry results in a product free from metal traces. Our optimized reaction condition and methodology overcome the challenges of using a metal catalyst, such as a longer reaction time, lower yields, and expensive starting materials.
The Sexual Economies of Clericalism: Women Religious and Gendered Violence in the Catholic Church
Authors: McPhillips Kathleen , McEwan Tracy
Published: October 2022

As the sexual abuse crisis continues to plague the Catholic Church across the world, the focus on men as both perpetrators of sexual violence, and victims of child sexual abuse has been at the forefront of media and academic analysis. However, evidence from public inquiries, criminal investigations, academic research and survivor testaments identifies women religious as both perpetrators of sexual and physical violence against children and victims of clerical sexual violence. This indicates that women religious, colloquially known as nuns, belong to a very unsettled landscape in religious gender politics in that they have been both victims of male clerical abuse and perpetrators of child abuse. This article considers these two contested realities by examining and analysing the evidence from research studies and public inquiries. We found that nuns were not only perpetrators of physical and sexual violence against children, but they were also engaged in herding children into the pathways of organised clerical paedophiles, particularly in children’s homes and orphanages where children were considered sexual commodities. Simultaneously, the sexual abuse of nuns has recently become a major concern for religious communities and the wider Church. We argue that by bringing these two realities together through a new discourse—the sexual economies of clericalism—new understandings of the agency of nuns can be explored in a wider theoretical and methodological framework.
Reading Equality into Asymmetry: Dual Ordination in the Eyes of Modern Chinese Bhikṣuṇīs
Authors: Bianchi Ester
Published: October 2022

The “Dual Ordination” (erbuseng jie 二部僧戒) is a Vinaya-based ordination procedure introduced to China from Śrī Laṅkā in the fifth century; in the late imperial period it came to be included in the main ordination system. It stipulates that full ordination for nuns is to be carried out first in front of an assembly of bhikṣuṇīs and then another assembly of bhikṣus. However, contrary to this stipulation, ordinations have mainly been conferred to women by bhikṣus alone in China since the tenth century. The Dual Ordination procedures became a topic of discussion during the Republic of China (1911–1949) with the result that it was eventually reintroduced on the Mainland at the beginning of the 1980s, mainly due to the efforts of bhikṣuṇīs Longlian 隆蓮 (1909–2006) and Tongyuan 通願 (1913–1991). The article traces the roots of the restoration of Dual Ordinations during the Republican era and provides an account of their history since the 1980s. Finally, Longlian’s views about bhikṣuṇī ordination are discussed. The objective is to probe the historical and ideological context for the reestablishment of this ordination system in modern and contemporary China, which ultimately strengthened the role and position of Chinese bhikṣuṇīs.
The Edge of Perception: Gordon Matta-Clark’s Hermeneutic of Place and the Possibilities of Absence for the Theological Imagination
Authors: Howell C. M.
Published: October 2022

This article places the conceptual artist Gordon Matta-Clark in conversation with hermeneutical debates within the field of theological aesthetics. By exploring the transformative effect Matta-Clark’s Splitting evokes on spatially related categories, I argue that place is a locus of meaning, and that absence is a constitutive feature of that meaning. The hermeneutics at play in Matta-Clark have a set of formal features which is in accord with certain positions within theological aesthetics, namely: the particularities of place over the generalities of space, the constitutive role of both absence and presence for perception, and the formative power of these on human identity. A final section argues that while meaning is embedded in place, the imagination retains a vital place in the hermeneutical process through its “imaging” function in events of perception.
Religion, Animals, and Desire in Eden: A Visual Critical Reconsideration of the Naḥash
Authors: Crane Jonathan K.
Published: October 2022

This paper explores the narrative contribution of visual images of nonhuman animals, particularly their contribution to the biblical themes of desire and relation, by considering the exemplum of the Naḥash, commonly known as a serpent or snake. The Biblical textual depiction of this creature indicates that it is not different in kind from humans but only different by degree. Later artists expand upon these possibilities in creative and provocative ways. By using a visual critical approach, the paper reviews the Garden of Eden story, and then examines an array of images that expand and challenge the text.
The Bible between Literary Traditions: John C. H. Wu’s Chinese Translation of the Psalms
Authors: Hong Xiaochun
Published: October 2022

In the history of Chinese Bible translation, the Psalms have been a privileged site for the encounter between biblical thinking, poetics, and Chinese classical literature. This encounter was initiated by the translators of the Delegates’ Version, followed by John Chalmers, and outstandingly represented in particular by John C. H. Wu吳經熊. In his version of the Psalms, underpinned by his cultural stance of “beyond East and West”, Wu borrows numerous Chinese idioms and popular verses and transposes Chinese traditions from Confucianism, Buddhism, and Daoism. Specifically, Wu’s rendition inaugurates an intertextual dialogue between the Psalms and Shijing, involving the disciplines of both comparative literature and comparative scripture at the same time. By adapting various Chinese classical poetry styles for his version of the Psalms, Wu transforms their spiritual traditions and broadens their representation spaces by injecting a Judeo-Christian spirit. Relocating the biblical texts among multifarious Chinese literary traditions, Wu’s translation of the Psalms achieves a deep interaction between the Bible and Chinese culture, provokes questions, and provides insights regarding the relation between biblical theology and intercultural poetics.
Reviving Pagan Spirituality: A Manifesto
Authors: Parsons Keith
Published: October 2022

Numerous contemporary neopagan movements are attempts to revive or reconstruct ancient religious belief and practice. For instance, the worship of the ancient Norse gods has been restored to Iceland by the Asatru Fellowship. In this essay, I defend neopagan movements against the charge that ancient spirituality cannot be recovered in identifiable form. I note that today’s dominant religions, such as Christianity, also face questions of the continuity of identity and argue that if such problems are tractable for current religions, then, in principle, they are resolvable for neopagans. I further argue that there are three broad themes of spirituality that are identifiable in ancient pagan religion, and that these are permanent possibilities recoverable by modern people. I also defend the relevance and importance of these themes.
Why God Cannot Do What Sterba Wants
Authors: Davis Stephen T.
Published: October 2022

Sterba argues that if God existed, God would allow lower-level evils and suffering but should and would prevent all significant and horrendous evils. Since such serious evils do exist, God does not exist. In reply, I argue that in creating a Sterba world, God would be violating one of God’s central purposes for the world, viz., that human beings be rationally free to deny God’s existence and presence. Given the total absence of horrendous evils in Sterba worlds, despite human intentions to inflict them, it would be obvious that God exists and is at work. There might still be atheists, but atheism would be irrational.
Religiosity as a Factor Supporting Parenting and Its Perceived Effectiveness in Hungarian School Children’s Families
Authors: Pusztai Gabriella , Fényes Hajnalka
Published: October 2022

The impact of a family’s socio-economic status on parenting activities has been a thoroughly researched topic. Parental involvement, which refers to parenting that supports school achievement, may be home-based and school-based, as typified by Epstein and Sanders. Earlier findings suggest that a more favorable socioeconomic status results in more active and effective parental involvement. Only a few studies show low-status parents can be more effective, whereby some factor compensates for the negative impact of low status. Our hypothesis is that parents’ self-identified religiosity can reduce the disadvantages arising from the family’s unfavorable socio-economic status. We use data from a survey conducted in 2020 among the parents of fourth-grade Hungarian primary school children, which is geographically and socially representative with a sample size of 1156. Our results show that religiosity has a significant positive influence on parenting activities and their perceived effectiveness, even after controlling for other variables. In addition, our indicator of home-based parental attention in itself is also strongly supportive of parents’ perceived effectiveness in parenting. Our findings suggest that parental religiosity and home-based parental attention are important factors that can make parenting effective despite social and cultural disadvantages.
Modeling Momentum and Reversals
Authors: Stein Harvey J. , Pozharny Jacob
Published: October 2022

Stock prices are well known to exhibit behaviors that are difficult to model mathematically. Individual stocks are observed to exhibit short term price reversals and long term momentum, while their industries only exhibit momentum. Here we show that individual stocks can be modeled by simple mean reverting processes in such a way that these behaviors are captured, the model is arbitrage free, and market informational efficiency is preserved. Simulation shows that in such a market, when mean reversion is sufficiently high, strategies which use reversals would substantially outperform buy and hold strategies.
Eddy Induced Cross-Shelf Exchanges in the Black Sea
Authors: Akpınar Anıl , Sadighrad Ehsan , Fach Bettina A. , Arkın Sinan
Published: October 2022

Cross-shelf exchanges in the Black Sea were investigated using remote sensing data and an ocean circulation model to which an eddy-tracking algorithm and Lagrangian particle tracking model was applied. An anticyclonic eddy in 1998 and a cyclonic eddy in 2000 were investigated in detail. Eddy-induced cross-shelf transport of low salinity and high Chl-a waters reached a maximum in the presence of filaments associated with these eddies. The daily mean volume transport by the eddies was comparable with the previously documented transport by eddies of similar size in the north-western shelf region. Lagrangian particle tracking results showed that 59% of particles initially released over the shelf were transported offshore within 30 days by the 1998 anticyclone and 27% by the 2000 cyclone. The net volume transport across the Black Sea shelf-break reached the maxima in winter, coinciding with the increase in wind stress curl and mean kinetic energy that is a measure of the intensity of the boundary current. Ekman transport directly influences the cross-shelf exchanges in the surface layer. The south-eastern Black Sea is presented as an important area for cross-shelf transport. The total cross-shelf transport can be divided into its “large-scale” and “eddy-induced” components. Eddy-induced transport was 34% and 37% of the total cross-shelf transport (1998–2014) in the Black Sea in the off-shelf and on-shelf directions, respectively, but these values ranged between 25% and 65% depending on the eddy activity over time.
Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer Learning
Authors: Zoubir Hajar , Rguig Mustapha , El Aroussi Mohamed , Chehri Abdellah , Saadane Rachid , Jeon Gwanggil
Published: October 2022

Conventional practices of bridge visual inspection present several limitations, including a tedious process of analyzing images manually to identify potential damages. Vision-based techniques, particularly Deep Convolutional Neural Networks, have been widely investigated to automatically identify, localize, and quantify defects in bridge images. However, massive datasets with different annotation levels are required to train these deep models. This paper presents a dataset of more than 6900 images featuring three common defects of concrete bridges (i.e., cracks, efflorescence, and spalling). To overcome the challenge of limited training samples, three Transfer Learning approaches in fine-tuning the state-of-the-art Visual Geometry Group network were studied and compared to classify the three defects. The best-proposed approach achieved a high testing accuracy (97.13%), combined with high F1-scores of 97.38%, 95.01%, and 97.35% for cracks, efflorescence, and spalling, respectively. Furthermore, the effectiveness of interpretable networks was explored in the context of weakly supervised semantic segmentation using image-level annotations. Two gradient-based backpropagation interpretation techniques were used to generate pixel-level heatmaps and localize defects in test images. Qualitative results showcase the potential use of interpretation maps to provide relevant information on defect localization in a weak supervision framework.
Detection and Counting of Corn Plants in the Presence of Weeds with Convolutional Neural Networks
Authors: Mota-Delfin Canek , López-Canteñs Gilberto de Jesús , López-Cruz Irineo Lorenzo , Romantchik-Kriuchkova Eugenio , Olguín-Rojas Juan Carlos
Published: October 2022

Corn is an important part of the Mexican diet. The crop requires constant monitoring to ensure production. For this, plant density is often used as an indicator of crop yield, since knowing the number of plants helps growers to manage and control their plots. In this context, it is necessary to detect and count corn plants. Therefore, a database of aerial RGB images of a corn crop in weedy conditions was created to implement and evaluate deep learning algorithms. Ten flight missions were conducted, six with a ground sampling distance (GSD) of 0.33 cm/pixel at vegetative stages from V3 to V7 and four with a GSD of 1.00 cm/pixel for vegetative stages V6, V7 and V8. The detectors compared were YOLOv4, YOLOv4-tiny, YOLOv4-tiny-3l, and YOLOv5 versions s, m and l. Each detector was evaluated at intersection over union (IoU) thresholds of 0.25, 0.50 and 0.75 at confidence intervals of 0.05. A strong F1-Score penalty was observed at the IoU threshold of 0.75 and there was a 4.92% increase in all models for an IoU threshold of 0.25 compared to 0.50. For confidence levels above 0.35, YOLOv4 shows greater robustness in detection compared to the other models. Considering the mode of 0.3 for the confidence level that maximizes the F1-Score metric and the IoU threshold of 0.25 in all models, YOLOv5-s obtained a mAP of 73.1% with a coefficient of determination (R2) of 0.78 and a relative mean square error (rRMSE) of 42% in the plant count, followed by YOLOv4 with a mAP of 72.0%, R2 of 0.81 and rRMSE of 39.5%.