bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineering 2D Aligned Nanowires Assembled Porous Hetero‐Membrane for Smart Ion Transport
Authors: Xie Lei , Zhou Shan , Li Xiaofeng , Zhang Xin , Zeng Hui , He Yanjun , Zeng Jie , Liang Kang , Jiang Lei , Kong Biao 
Published: December 2022

AbstractEngineering 2D nanosheets with well‐defined porous structures and their assembled heterostructure membrane is a promising method to improve osmotic energy conversion. However, it is still a great challenge to directly fabricate 2D nanosheets with regular parallel nanochannels in aqueous media. Here, the desired functional nanosheets and heterostructure membrane device are successfully prepared through a simple interfacial assembly strategy. In this method, monolayer cylindrical monomicelles closely arrange and assemble on the surfaces of graphene oxide, and the resulting nanosheets with monolayered aligned nanowire polymer arrays parallel to the substrate surfaces are then obtained. Subsequently, a heterostructured membrane is constructed by assembling these 2D nanosheets on macroporous alumina. The nanofluidic membrane device with asymmetric geometry and charge polarity exhibits smart ion transport properties, and the output osmotic power density is ≈1.22 and 1.63 times over the reported pure 2D graphene oxide and biomass‐derived membranes, respectively. In addition, theoretical calculations are carried out to reveal the mechanisms for ion selectivity and salinity gradient energy conversion. This monolayered interfacial assembly approach can open up new avenues for the synthesis of functional porous low‐dimensional nanomaterials and membrane devices, and expand the palette of materials selection for many applications.
Comprehensive Passivation for High‐Performance Quasi‐2D Perovskite LEDs
Authors: Zhang Dezhong , Fu Yunxing , Wu Wenping , Li Binhe , Zhu Helong , Zhan Hongmei , Cheng Yanxiang , Qin Chuanjiang , Wang Lixiang 
Published: December 2022

AbstractQuasi‐2D perovskites have demonstrated great application potential in light‐emitting diodes (LEDs). Defect passivation with chemicals plays a critical role to achieve high efficiency. However, there are still challenges in comprehensively passivating the defects distributed at surface, bulk, and buried interface of quasi‐2D perovskite emitting films, hindering the further improvement of device performance. Herein, 9,9‐substituted fluorene derivatives with different terminal functional groups are developed tactfully to realize comprehensive passivation, which greatly contributes to reducing nonradiative recombination at surface, suppressing ion migration in bulk, and filling interfacial charge traps at buried interface, respectively. Eventually, quasi‐2D perovskite LEDs have an increased external quantum efficiency from 18.2% to 23.2%, improved operation lifetime by more than six times and lower turn‐on voltage simultaneously. Here the importance of comprehensive passivation is highlighted and guidelines for the design and application of passivators for perovskite optoelectronics are provided.
A Robust Molecular Porous Material for C2H2/CO2 Separation
Authors: Gao Mei‐Yan , Sensharma Debobroto , Bezrukov Andrey A. , Andaloussi Yassin H. , Darwish Shaza , Deng Chenghua , Vandichel Matthias , Zhang Jian , Zaworotko Michael J. 
Published: December 2022

AbstractA molecular porous material, MPM‐2, comprised of cationic [Ni2(AlF6)(pzH)8(H2O)2] and anionic [Ni2Al2F11(pzH)8(H2O)2] complexes that generate a charge‐assisted hydrogen‐bonded network with pcu topology is reported. The packing in MPM‐2 is sustained by multiple interionic hydrogen bonding interactions that afford ultramicroporous channels between dense layers of anionic units. MPM‐2 is found to exhibit excellent stability in water (>1 year). Unlike most hydrogen‐bonded organic frameworks which typically show poor stability in organic solvents, MPM‐2 exhibited excellent stability with respect to various organic solvents for at least two days. MPM‐2 is found to be permanently porous with gas sorption isotherms at 298 K revealing a strong affinity for C2H2 over CO2 thanks to a high (ΔQst)AC [Qst (C2H2) − Qst (CO2)] of 13.7 kJ mol−1 at low coverage. Dynamic column breakthrough experiments on MPM‐2 demonstrated the separation of C2H2 from a 1:1 C2H2/CO2 mixture at 298 K with effluent CO2 purity of 99.995% and C2H2 purity of >95% after temperature‐programmed desorption. C‐H···F interactions between C2H2 molecules and F atoms of AlF63− are found to enable high selectivity toward C2H2, as determined by density functional theory simulations.
Chromatographic analysis of N‐compounds from the pyrolysis of spent coffee grounds
Authors: Andrade Yasmine B. , Schneider Jaderson K. , Farrapeira Rafael O. , Lucas Ana Nadja L. , da Mota Iuri D. P. , Bjerk Thiago R. , Krause Laiza C. , Caramão Elina B. 
Published: December 2022

AbstractCoffee is an important agricultural product grown worldwide and one of the most consumed beverages in the world. However, its consumption produces a large amount of waste that can be used in industry, benefiting the environment. Thus, the objective of this work was to pyrolyze spent coffee ground generated through the extraction of the coffee beverage (hot aqueous extraction) using two types of coffee, the traditional and the decaffeinated one, and subsequently apply the acid‐base‐neutral extraction technique to produce bio‐oils. This approach aims to isolate nitrogenous compounds, based on the industrial and pharmacological importance of this class of compounds. The acid‐base‐neutral extraction technique used is simple, of low cost, and aims to pre‐concentrate the nitrogenous compounds based on the basic character given by the nitrogen present in these molecules. The analysis of crude bio‐oils (before the fractionation) and the respective fractions was performed by gas chromatography‐Quadrupole‐mass spectrometry. The bio‐oils showed high levels of fatty acids, hydrocarbons, and other oxygen compounds, with only traces of nitrogenated compounds being identified. The acid‐base‐neutral extraction, after solvent recovery, allowed pre‐concentration of these compounds and their identification, highlighting quinolines among the most important compounds and with the greatest biotechnological application.
The Oxidation Behavior of Potato Starch and Benzyl Alcohol via Peroxide in the Catalysis of Metal Complexes
Authors: Ziba Cengiz Ayhan , Dolaz Mustafa 
Published: December 2022

AbstractTwo new Schiff bases ligands (HL1and HL2) and their Co2+, Mn2+, Fe3+, Ru3+, Cr3+, and VO2+complexes were synthesized and characterized by FT‐IR, 1H‐NMR, and Mass spect. and analytical methods. A single‐crystal X‐ray diffraction study determined the molecular structure of HL1. The catalytic effects of metal complexes on benzyl alcohol and potato starch (PS) oxidation were compared in an H2+O2medium. The percent conversion of benzyl alcohol to benzaldehyde and benzoic acid was determined by Gas Chromatography. [Co(L1)2], [Mn(L1)2], [Co(L2)2], and [Mn(L2)2] showed the highest catalytic effect with a value between 97–98% in the conversion of benzyl alcohol to benzaldehyde and benzoic acid. Maximum % benzoic acid formation was observed in [Mn(L1)2] (39%) and [VO(L1)2] (58%). To determine the effect of the catalyst properties of the complexes on the oxidation of PS, carbonyl and carboxyl groups formed in potato starch were determined by the titrimetric method, and PS oxidation degrees were calculated as DS (DSCHOand DSCOOH). In potato starch oxidation, the [VO(L1)2] had the highest catalytic effect with DSSum = 0.96, while the [Mn(L1)2] had a relatively lower DSSum = 0.86 value. On the other hand, the [Cr(L2)2ClH2O] showed a catalytic impact with DSSum= 0.63.
Fungicidal Potential of Polymeric Hydrogels Based on Carboxymethylcellulose and Yerba Mate Residues with the Incorporation of Garlic Oil
Authors: Frühauf Gabriela Oliveira , Beltrami Lilian Vanessa Rossa , Francisquetti Edson Luiz , Granada Camille Eichelberger , Zattera Ademir José , Catto André Luis , Borsoi Cleide 
Published: December 2022

AbstractIn the present study, hydrogels are developed from carboxymethylcellulose, with the addition of cellulose nanofibers (CNFs) obtained from yerba mate stick residues and garlic oil. CNFs are obtained via physical (steam explosion), chemical (bleaching), and mechanical (ultrafine friction milling) processes. Garlic oil is encapsulated into sodium alginate for the evaluation of fungicidal potential. The samples are assessed for characteristics such as water absorption capacity (swelling) and inhibitory activity against Fusarium sp. FUS147 in vitro by Fourier‐transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and scanning electron microscopy (SEM). TGA and FTIR spectra confirm the cross‐linking mechanism for citric acid in sodium carboxymethylcellulose (CMC) in the hydrogel formation. The incorporation of CNFs, sodium alginate, and garlic oil reduces the temperature at the beginning of thermal degradation, to 47, 38, and 31 °C, respectively, in relation to a hydrogel sample with only carboxymethylcellulose (HC). The swelling analysis reveals an increase of 57% for a sample with CNF, and 42% for a sample with incorporation of garlic oil encapsulated in alginate, in relation to the HC sample. The sample with encapsulated garlic oil shows a high degree of swelling with broad antifungal activity against the Fusarium sp. FUS147, showing great potential for use in agriculture.
Report of the General Committee: 24
Authors: Wilson Karen L. 
Published: December 2022

SummaryDr Sandra Knapp has been appointed as President for the Nomenclature Section at the XX IBC to be held in Madrid in July 2024 and Dr John Wiersema's appointment as Vice‐rapporteur has been approved. Decisions of the General Committee are reported on proposals and requests in Report 71 of the Permanent Nomenclature Committee for Vascular Plants (NCVP), Reports 21 and 22 of the Permanent Nomenclature Committee for Algae (NCA), Report 14 of the Permanent Nomenclature Committee for Fossils (NCFoss), as well as proposal (1960) from NCVP Report 63. The GC also considered various procedural matters: (1) voting by committee members on their own proposals; (2) definition of a “simple majority” and the potential use of a quorum; (3) two‐step voting on requests for binding decision; (4) date of authorization of binding decisions and suppression proposals.
Insight into Darcy flow of ternary‐hybrid nanofluid on horizontal surfaces: Exploration of the effects of convective and unsteady acceleration
Authors: Animasaun Isaac Lare , Kumar T. Kiran , NOAH Fatai Adesegun , Okoya Samuel Segun , Al‐Mdallal Qasem M. , Bhatti Muhammad Mubashir 
Published: December 2022

AbstractThe transport phenomenon of water conveying spherical carbon nanotubes, cylindrical graphene, and platelet aluminum oxide nanoparticles exhibits a linear relationship between the pressure gradient causing the dynamics of ternary‐hybrid nanofluid and the velocity. However, it is essential to note that little is known about the computation of roughness at the surface transition zone during the early stages of accretion. The Darcy flow of ternary‐hybrid nanofluid was investigated and reported in this paper with the intention to provide insight into the convective and unstable acceleration related to leading‐edge accretion. The governing equations roughly represented that the time‐dependent fluid flow were nondimensionalized using the Blasius‐Rayleigh Stokes variable, and the three‐stage Lobatto IIIa integration formula for a finite difference (MATLAB package bvp4c) was used to solve numerically. Based on the analysis of results, it is worth concluding that the velocity decreases significantly due to a growth in the leading‐edge accretion (γ) because the convective acceleration increases while the unsteady acceleration decreases for . As , convective acceleration increases while the unsteady acceleration decreases. As γ enlarges from 90° to 180°, both forms of the acceleration are decreasing properties, but unsteady deceleration is bound to manifest.
Time fractional model of free convection flow and dusty two‐phase couple stress fluid along vertical plates
Authors: khan Dolat , ali Gohar , Kumam Poom , Almusawa Musawa Yahya , Galal Ahmed M. 
Published: December 2022

AbstractCouple Stress Fluid (CSF) incorporates a new material constant whose, in contrast to a Newtonian fluid, regulates both couple stress and lubricant viscosity. Due to the fourth‐order spatial derivative term that this material constant introduces into the momentum equation, this fluid (CSF), even for classical fluid problems, has received limited research. The aim of this article is to examine the joint impact of heat transmission and magnetic field on a time‐fractional model of two‐phase free convection flow of dusty fluid that is electrically conducting. Among parallel plates, one of which is stationary and the other of which is oscillating with constant velocity, the CSF is supposed to flow. Heat is transferred by free convection and buoyant force, which generates the flow. Furthermore, all spherical dust particles are uniformly dispersed through the fluid. The flow is modeled mathematically in terms of PDEs. The provided derived system of PDEs is generalized by applying a recently invented fractional derivative, the Caputo‐Fabrizio fractional derivative. Finite sine Fourier and Laplace transformations are jointly applied to handle the problem. The velocity and temperature profiles have closed form solutions. The CSF outcomes for stimulating fluid parameters are shown in numerous graphs for CF time fractional derivatives. Additionally, the influence of various parameters has been discussed. Mathcad‐15 is used to plot the graphical outcomes for the CSF, dust particle, and temperature profiles. Furthermore, the skin friction and Nusselt number are calculated. Table 1 demonstrates how the rate of heat transmission reduces as the Peclet number's value rises. Similarly, Table 2 demonstrates that the skin friction increases as the magnetic parameter and couple stress parameter are raised. Table 3 and 4, shows the Regression analysis that the variation in the velocity for Couple stress and dusty fluid parameter are statistically significant. By increasing the couple stress parameter λ, retarde the both velocities profile.
Bcl6 drives stem-like memory macrophages differentiation to foster tumor progression
Authors: Zhang Weiwei , Han Qin , Ding Yina , Zhou Huihui , Chen Zhipeng , Wang Jingjing , Xiang Jiaxin , Song Zhengbo , Abbas Muhammad , Shi Liyun 
Published: December 2022

AbstractCancer development is a long-lasting process during which macrophages play a pivotal role. However, how macrophages maintain their cellular identity, persistence, expanding and pro-tumor property during malignant progression remains elusive. Inspired by the recent report of the activation of stem cell-like self-renewal mechanism in mature macrophages, we postulate that intra-tumoral macrophages might be trained to assume stem-like properties and memory-like activity favoring cancer development. Herein we demonstrated that tumor infiltrating macrophages rapidly converted into the CD11b+F4/80+Ly6C−Bcl6+ phenotype, and adopted stem cell-like properties involving expression of stemness-related genes, long-term persistence and self-renewing. Importantly, Bcl6+ macrophages stably maintained cell identity, gene signature, metabolic profile, and pro-tumor property even after long-term culture in tumor-free medium, which were hence termed stem cell-like memory macrophages (SMMs). Mechanistically, we showed that transcriptional factor Bcl6 co-opted the demethylase Tet2 and the deacetylase SIRT1 to confer the epigenetic imprinting and mitochondrial metabolic traits to SMMs, bolstering the stability and longevity of trained immunity in tumor-associated macrophages (TAMs). Furthermore, tumor-derived redHMGB1 was identified as the priming signal, which, through TLR4 and mTOR/AKT pathway, induced Bcl6-driven program underpinning SMMs generation. Collectively, our study uncovers a distinct macrophage population with a hybrid of stem cell and memory cell properties, and unveils a regulatory mechanism that integrates transcriptional, epigenetic and metabolic pathways to promote long-lasting pro-tumor immunity.
Experimental load modification on a dual-slot circulation control airfoil
Authors: Asaro Salvatore , Lüer Léon , Bauknecht André 
Published: December 2022

AbstractActive load alleviation can substantially contribute to decrease structural weight and emissions of future transport aircraft by limiting peak aerodynamic loads that the aircraft experiences during flight. Fluidic actuators, as part of active load alleviation systems, have the potential for faster and more complete gust load reduction. The performance of a dual slot circulation control airfoil for gust load alleviation is investigated experimentally on a supercritical airfoil model. The tests are conducted in a low-speed wind tunnel at a chord-based Reynolds number of $${\text{Re}}={\text{1.5}}\cdot {\text{10}}^{{\text{6}}}$$

Re
=
1.5
·

10

6

and $${\it{M}}_{{\infty }}={\text {0.14}}$$

M
∞

=
0.14

. The model features an elliptical Coandă geometry integrated into the airfoil’s trailing edge to minimize cruise performance penalty, while still allowing for substantial load reduction. Blowing from a single slot, as well as simultaneously from pressure and suction side slots is tested over a range of blowing rates to assess the impact on load modification. Both steady and impulsive activation performance are evaluated based on surface pressure, integral load, and flow field measurements around the Coandă geometry. High control authority is found for upper and lower single slot blowing, with peak changes in lift coefficient of about $$\pm\,{0.33}$$

±

0.33

and lift-to-equivalent-drag ratio change of up to 100. Similar peak lift changes and reduced equivalent drag are obtained by adding marginal ($$< 14\%$$

<
14
%

of total) blowing from the opposite slot, which also reduces pitching moment changes for primary upper and marginal lower blowing. Impulsive jet activation exhibits load control authority comparable to steady actuation and sufficiently short onset times to counteract all gusts defined by certification documentation.
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Authors: Mahmud Sakib , Hossain Md Shafayet , Chowdhury Muhammad E. H. , Reaz Mamun Bin Ibne 
Published: December 2022

AbstractElectroencephalogram (EEG) signals suffer substantially from motion artifacts when recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals:In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. The performance of the proposed model was compared with ten other 1D CNN models: FPN, LinkNet, UNet, UNet+, UNetPP, UNet3+, AttentionUNet, MultiResUNet, DenseInceptionUNet, and AttentionUNet++ in removing motion artifacts from motion-contaminated single-channel EEG signal. All the eleven deep CNN models are trained and tested using a single-channel benchmark EEG dataset containing 23 sets of motion-corrupted and reference ground truth EEG signals from PhysioNet. Leave-one-out cross-validation method was used in this work. The performance of the deep learning models is measured using three well-known performance matrices viz. mean absolute error (MAE)-based construction error, the difference in the signal-to-noise ratio (ΔSNR), and percentage reduction in motion artifacts (η). The proposedMLMRS-Netmodel has shown the best denoising performance, producing an average ΔSNR,η, and MAE values of 26.64 dB, 90.52%, and 0.056, respectively, for all 23 sets of EEG recordings. The results reported using the proposed model outperformed all the existing state-of-the-art techniques in terms of averageηimprovement.
Viterbo’s conjecture as a worm problem
Authors: Rudolf Daniel 
Published: December 2022

AbstractIn this paper, we relate Viterbo’s conjecture from symplectic geometry to Minkowski versions of worm problems which are inspired by the well-known Moser worm problem from geometry. For the special case of Lagrangian products this relation provides a connection to systolic Minkowski billiard inequalities and Mahler’s conjecture from convex geometry. Moreover, we use the above relation in order to transfer Viterbo’s conjecture to a conjecture for the longstanding open Wetzel problem which also can be expressed as a systolic Euclidean billiard inequality and for which we discuss an algorithmic approach in order to find a new lower bound. Finally, we point out that the above mentioned relation between Viterbo’s conjecture and Minkowski worm problems has a structural similarity to the known relationship between Bellmann’s lost-in-a-forest problem and the original Moser worm problem.
The PROUST hypothesis: the embodiment of olfactory cognition
Authors: Jacobs Lucia F. 
Published: December 2022

AbstractThe extension of cognition beyond the brain to the body and beyond the body to the environment is an area of debate in philosophy and the cognitive sciences. Yet, these debates largely overlook olfaction, a sensory modality used by most animals. Here, I use the philosopher’s framework to explore the implications of embodiment for olfactory cognition. The philosopher’s 4E framework comprises embodied cognition, emerging from a nervous system characterized by its interactions with its body. The necessity of action for perception adds enacted cognition. Cognition is further embedded in the sensory inputs of the individual and is extended beyond the individual to information stored in its physical and social environments. Further, embodiment must fulfill the criterion of mutual manipulability, where an agent’s cognitive state is involved in continual, reciprocal influences with its environment. Cognition cannot be understood divorced from evolutionary history, however, and I propose adding evolved, as a fifth term to the 4E framework. We must, therefore, begin at the beginning, with chemosensation, a sensory modality that underlies purposive behavior, from bacteria to humans. The PROUST hypothesis (perceiving and reconstructing odor utility in space and time) describers how olfaction, this ancient scaffold and common denominator of animal cognition, fulfills the criteria of embodied cognition. Olfactory cognition, with its near universal taxonomic distribution as well as the near absence of conscious representation in humans, may offer us the best sensorimotor system for the study of embodiment.