bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing green purchases: An emerging market perspective
Authors: Parker Hamieda , Bhatti Waheed Akbar , Chwialkowska Agnieszka , Marais Thiam 
Published: October 2022

AbstractEducators, marketers, and policymakers need to understand what factors influence the consumers' purchase of green products to encourage green product buying. Thus, this study examines the antecedents to green purchases. An online survey provides quantitative input for a SmartPLS analysis. The study draws on the theory of consumption values to investigate how emotional and social values affect green purchasing decisions. The role of knowledge‐seeking in developing these values is investigated and found to be significantly positive. The relationships between emotional value, social value, and green purchase behavior are found to be mediated by environmental concerns. This study contributes to the discussion around consumption values by showing that environmental concern has a stronger relationship with green purchases than emotional and social value. It is through the environmental concern that emotional and social values influence green purchases. Our findings suggest that marketers should leverage the consumers' knowledge‐seeking and environmental concern in their advertising campaigns by emphasizing a specific green product novelty and highlighting the casual connection between green buying and their effect on the environment.
Climate reporting quality following the recommendations of the task force on climate‐related financial disclosures: A Focus on the German capital market
Authors: Braasch Annabelle , Velte Patrick 
Published: October 2022

AbstractThis paper investigates the quality of climate reporting by German DAX30 companies based on legitimacy theory. The study refers to a content analysis of climate‐related corporate disclosures from 2018 to 2020, related to the recommendations of the Task Force on Climate‐related Financial Disclosures (TCFD). The results show that there is still considerable room for improvement among carbon‐sensitive as well as less carbon‐sensitive firms. In particular, the companies showed poor reporting rates in the corporate governance domain, indicating that they use climate reporting symbolically to present themselves in a favorable light and to gain legitimacy in society. Moreover, carbon‐sensitive companies were more likely to report strategically relevant information on climate issues. The results are most relevant for researchers, business practice and regulatory bodies.
The shapes of synthesized two‐dimensional materials
Authors: Kong Xiao , Fu Chengrui , Gladkikh Vladislav , Ding Feng 
Published: October 2022

AbstractThe shapes of as‐grown/as‐etched two‐dimensional (2D) islands are the most recognizable features of the chemical vapor deposition (CVD) process which reveal a lot of information about the chemical environment of growth/etching, the effect of the substrate and the growth/etching kinetics. Here, we summarize experimentally observed shapes of CVD‐grown 2D materials from previous reports, theoretical understanding on the corresponding mechanisms and the simulations of the corresponding growth/etching processes. Each part of the review article is organized by combining the fundamental principles that govern the shapes of crystals during growth/etching and the related experimental observations to facilitate the readers to read and understand the content. The content of the review includes attachment‐limited 2D materials growth, diffusion‐limited 2D materials growth (both with and without influence of the substrate), etching and merging of 2D materials with and without considering the effect of the substrate. We also discuss growth and etching of multilayered 2D islands during CVD—a topic still under development. We wish this review will also guide the audience to understand the kinetics of 2D materials growth and to improve controllable synthesis of various 2D materials.
Genome‐wide identification and biological relevance of broccoli aquaporins
Authors: Nicolas‐Espinosa Juan , Carvajal Micaela 
Published: October 2022

AbstractBroccoli (Brassica oleracea var. italica) is an important crop worldwide, and its regular consumption is associated with health benefits due to the presence of various bioactive compounds. An optimal water balance and homeostasis are needed for plant growth; in this sense, aquaporins play a crucial role. As a result of a genome‐wide search, a total of 65 aquaporin genes were identified in broccoli. The aquaporins were classified according to their phylogenetic relationships with other Brassicas species and Arabidopsis thaliana, and evolutionary events of gene duplication were also assessed, highlighting the tendency of NIPs (Nodulin‐26‐like Intrinsic Proteins) to duplicate. Also, the chromosomal localization, gene duplication, the study of the conserved motifs, and the tertiary structure were determined in broccoli. Functional predictive analyses were also carried out, which, together with the expression analyses in different broccoli plant tissues, allowed the prediction of the biological role of each aquaporin isoform. BoiPIP1‐2a and BoiPIP1‐2b showed higher expression in all the plant tissues when compared with other aquaporins. BoiTIP1‐2b also showed high expression levels and was associated with nitrogen compounds transport such as urea. However, NIPs, through their differential expression and the tandem duplications of the isoforms, were revealed as the putative main actors in the response of broccoli plants to abiotic stress responses. The results of this work pointed to the physiological significance of each aquaporin isoform of broccoli, opening a new field of knowledge and constituting the first step of further in vivo analyses.
Environmental risk factors for inflammatory bowel disease
Authors: Singh Noreen , Bernstein Charles N. 
Published: October 2022

AbstractInflammatory bowel disease (IBD) is a chronic, progressive immune‐mediated inflammatory condition of the gastrointestinal tract. Environmental risk factors play a role in developing either type of IBD, Crohn's disease and ulcerative colitis; although the exact mechanism is still unknown. Herein, we review environmental risks from early life exposures, lifestyle and hygiene, vaccinations, surgeries, exposure to drugs and gastrointestinal pathogens that may increase the risk of developing IBD.
Recent advances in computational studies on voltage‐gated sodium channels: Drug design and mechanism studies
Authors: Wang Gaoang , Xu Lei , Chen Haiyi , Liu Yifei , Pan Peichen , Hou Tingjun 
Published: October 2022

AbstractVoltage‐gated sodium channels (VGSCs/Navs), which control the flow of Na+ and affect the generation of action potentials (APs), have been regarded as essential targets for many diseases. The biological and pharmacological functions of VGSCs have been extensively studied and many efforts have been made to discover and design ligands of VGSCs as potential therapies. Here, we summarize the recent and representative studies of VGSCs from the perspective of computer‐aided drug design (CADD) and molecular modeling, including the structural biology of VGSCs, virtual screening and drug design toward VGSCs based on CADD, and functional studies using molecular modeling technologies. Furthermore, we conclude the achievements that have been made in the field of VGSCs and discuss the shortcomings found in previous studies. We hope that this review can provide some inspiration and reference for future investigations of VGSCs and drug design.This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Establishing the catalytic and regulatory mechanism of RNA‐based machineries
Authors: Borišek Jure , Aupič Jana , Magistrato Alessandra 
Published: October 2022

AbstractRibonucleoprotein (RNP)‐machineries are comprised of intricate networks of long noncoding RNAs and proteins that allow them to actively participate in transcription, RNA processing, and translation. RNP‐machineries thus play vital roles in gene expression and regulation. Recent advances in cryo‐EM techniques provided a wealth of near‐atomic‐level resolution structures setting the basis for understanding how these fascinating multiscale complexes exert their diverse roles. However, these structures represent only isolated snapshots of the plastic and highly dynamic RNP‐machineries and are thus insufficient to comprehensively assess their multifaceted mechanisms. In this review, we discuss the role and merit of all‐atom simulations in disentangling the mechanism of eukaryotic RNA‐based machineries responsible for RNA processing. We showcase how all‐atom simulations can capture their large‐scale functional movements, trace the signaling pathways that are at the root of their massive conformational remodeling, explain recognition mechanisms of specific RNA sequences, and, lastly, unravel the chemical mechanisms underlying the formation of functional RNA strands. Finally, we review the methodological pitfalls and outline future challenges in modeling key functional aspects of these large molecular engines with all‐atom simulations. In addition to providing insights into the most basic processes that govern all forms of life, in‐depth mechanistic comprehension of RNP‐machineries offers a foundation for developing innovative therapeutic strategies against the variety of human diseases linked to deregulated RNA metabolism.This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Implementing wastewater surveillance for SARS‐CoV‐2 on a university campus: Lessons learned
Authors: Wartell Brian A. , Proano Camila , Bakalian Lena , Kaya Devrim , Croft Kristen , McCreary Michael , Lichtenstein Naomi , Miske Victoria , Arcellana Patricia , Boyer Jessica , Benschoten Isabelle Van , Anderson Marya , Crabb Andrea , Gilson Susan , Gourley Anthony , Wheeler Tim , Trest Brian , Bowman Glynnis , Kjellerup Birthe V. 
Published: October 2022

AbstractWastewater surveillance, also known as wastewater‐based epidemiology (WBE), has been successfully used to detect SARS‐CoV‐2 and other viruses in sewage in many locations in the United States and globally. This includes implementation of the surveillance on college and university campuses. A two‐phase study was conducted during the 2020–2021 academic year to test the feasibility of a WBE system on campus and to supplement the clinical COVID‐19 testing performed for the student, staff, and faculty body. The primary objective during the Fall 2020 semester was to monitor a large portion of the on‐campus population and to obtain an understanding of the spreading of the SARS‐CoV‐2 virus. The Spring 2021 objective was focused on selected residence halls and groups of residents on campus, as this was more efficient and relevant for an effective follow‐up response. Logistical problems and planning oversights initially occurred but were corrected with improved communication and experience. Many lessons were learned, including effective mapping, site planning, communication, personnel organization, and equipment management, and obtained along the way, thereby paving an opportune guide for future planning efforts.Practitioner Points

WBE was successful in the detection of many SARS‐CoV‐2 variants incl. Alpha, Beta, Gamma, Delta, Lambda, Mu, and Omicron.
Careful planning and contingencies were essential for a successful implementation of a SARS‐CoV‐2 monitoring program.
A surveillance program may be important for detection and monitoring of other public health relevant targets in wastewater incl. bacteria, viruses, fungi and viruses.
Diverse lessons were learned incl. effective mapping, site planning, communication, personnel organization, and equipment management, thereby providing a guide for future planning efforts.
A comparative analysis of the magnetized sodium alginate‐based hybrid nanofluid flows through cone, wedge, and plate
Authors: Dawar Abdullah , Islam Saeed , Shah Zahir , Lone Showkat Ahmad 
Published: October 2022

AbstractThe heat transmissions of magnetohydrodynamic nanofluid flow through the cone, wedge, and plate have many industrial and commercial applications. The cone, wedge, and plate geometries are widely used in polymer data processing. That is why the authors have chosen to analyze the heat transmission of a hybrid nanofluid flow over multiple geometries. The hybrid nanofluid flow contains copper and silver nanoparticles, whereas sodium alginate is used as a base fluid. The impacts of thermal Grashof number, magnetic parameter, thermal radiation, and the Chataneo–Christov heat flux model are taken into consideration. The generated system of differential equations is solved with the help of homotopy analysis method (HAM). The convergence of HAM is also shown with the help of figures. Validation of current findings with previously reported findings over a cone surface has been analyzed and has found a great agreement with those reported results. The results showed that the temperature Grashof number reduces skin frictions while the augmenting magnetic parameter increases them. When compared to cone and plate geometry, these effects are more prominent for wedge geometry. Also, the impact of magnetic factor is 38% greater and the thermal Grashof number is 47% greater for hybrid nanofluid flow than the base fluid. The heat transfer rates are reduced with the increasing thermal relaxation and wall temperature parameters. The thermal relaxation is 4% greater and the wall temperature parameter is 14% greater for the hybrid nanofluid flow than the base fluid. The velocity profiles are decreased with the increasing magnetic parameter. The decreasing impact is larger for plate surface in comparison to the wedge and cone.
Generalized thermoelastic waves in a homogeneous anisotropic plate with voids
Authors: Pathania Vijayata , Dhiman Pankaj 
Published: October 2022

AbstractIn this contribution, the thermoelastic Lamb waves in the homogeneous, transversely isotropic, plate with voids have been investigated in the context of classical and non‐classical theories of thermoelasticity. To investigate the problem, the fundamental governing equations have been developed in a unified way. On the solutions of these governing equations, the thermal and mechanical stress‐free boundary conditions, as well as constraints due to voids, have been imposed. The solutions of governing equations indicate that there exists a coupled system of wave motion called thermal waves (T‐mode), void wave motion (V‐mode), and elastic waves (E‐mode). However, the shear horizontal component of elastic wave decouples from the system is unaffected by elasto‐poro‐thermal coupling. For the symmetric and anti‐symmetric families of vibrations, the secular equation for the wave motion along with its special cases has been derived. To discover the wave characteristics, the secular equation has been solved using the numerical‐functional iteration method in MATLAB software, and the findings have been manifested by plotting the graphs. It has been concluded that the presence of voids affects the magnitudes of phase velocity, attenuation coefficient, and specific loss. This work may be helpful for geophysicists and engineers in the field of earthquake engineering. The developers of modern facilitating things such as acoustic touch screens, liquid viscosity sensors, etc. which are based on Lamb‐type wave propagation may also get benefitted.
PDF bias and flavor dependence in TMD distributions
Authors: Bury Marcin , Hautmann Francesco , Leal-Gomez Sergio , Scimemi Ignazio , Vladimirov Alexey , Zurita Pia 
Published: October 2022

Abstract
Transverse momentum dependent (TMD) distributions match collinear parton density functions (PDF) in the limit of small transverse distances, which is accounted for by global extractions of TMD distributions. We study the influence of the collinear PDF value and uncertainties on the determination of unpolarized TMD distributions and the description of Drell-Yan (DY) and Z-boson production measurements at low transverse momenta. We take into account, for the first time in fits including TMD evolution, flavor-dependent non-perturbative TMD profiles. We carry out a Bayesian analysis to incorporate the propagation of PDF uncertainties into TMD extractions. We find that collinear PDF uncertainties and non-perturbative TMD flavor dependence are both essential to obtain reliable TMD determinations, and should be included in future global analyses.
M5-branes probing flux backgrounds
Authors: Bah Ibrahima , Bonetti Federico , Leung Enoch , Weck Peter 
Published: October 2022

Abstract
We analyze the global symmetries and anomalies of 4d $$ \mathcal{N} $$
N
= 1 field theories that arise from a stack of N M5-branes probing a class of flux backgrounds. These backgrounds consist of a resolved ℂ2/ℤk singularity fibered over a smooth Riemann surface of genus g ≥ 2, supported by a non-trivial G4-flux configuration labeled by a collection of 2(k − 1) flux quanta, {Ni}. For k = 2, this setup defines a non-trivial superconformal field theory (SCFT) in the IR, which is holographically dual to an explicit AdS5 solution first described by Gauntlett, Martelli, Sparks, and Waldram. The generalization to k ≥ 3 is hard to tackle directly within holography. Instead, in this paper we lay the groundwork for a systematic analysis of such a generalization by adopting anomaly inflow methods to identify continuous and discrete global symmetries of the 4d field theories. We also compute the ’t Hooft anomalies for continuous symmetries at leading order in the limit of large N, Ni.
Therapy free of cells vs human mesenchymal stem cells from umbilical cord stroma to treat the inflammation in OA
Authors: Morente-López Miriam , Mato-Basalo Rocío , Lucio-Gallego Sergio , Silva-Fernández Lucía , González-Rodríguez Alba , De Toro Fco. Javier , Fafián-Labora Juan A. , Arufe María C. 
Published: October 2022

AbstractOsteoarthritis (OA) is closely linked to the increase in the number of senescent cells in joint tissues, and the senescence-associated secretory phenotype (SASP) is implicated in cartilage degradation. In the last decade, extracellular vesicles (EV) in combination with the use of miRNAs to modify post-transcriptional expressions of multiple genes have shown their utility in new therapies to treat inflammatory diseases. This work delves into the anti-inflammatory effect of extracellular vesicles derived from mesenchymal stem cells (MSC) previously modified to inhibit the expression of miR-21. We compare the efficacy of two treatments, MSC with their miR-21 inhibited through lentiviral transfection and their EV, against inflammation in a new OA animal model. The modified MSC and their EV were intraperitoneally injected in an OA animal model twice. One month after treatment, we checked which therapy was the most effective to reduce inflammation compared with animals untreated. Treated OA model sera were analyzed for cytokines and chemokines. Subsequently, different organs were analyzed to validate the results obtained. EV were the most effective treatment to reduce chemokines and cytokines in serum of OA animals as well as SASP, in their organs checked by proteomic and genomic techniques, compared with MSC alone in a statistically significant way. In conclusion, MSC-miR-21−-derived EV showed a higher therapeutic potential in comparison with MSCs-miR-21-. They ameliorate the systemic inflammation through inactivation of ERK1/2 pathway in OA in vivo model.
Graphical abstract
Workflow of the realization of the animal model of OA by injecting cells into the joint cavity of the left knee of the animals, which produces an increase in serum cytokines and chemokines in the animals in addition to the increase in SASP and markers of inflammation. Inhibition of miR-21 in MSCs, from the stroma of the human umbilical cord, by lentivirus and extraction of their EVs by ultracentrifugation. Finally, application of MSC therapy with its miR-21 inhibited or its EVs produces a decrease in serum cytokines and chemokines in the treated animals, in addition to an increase in SASP and markers of inflammation. The cell-free therapy being the one that produces a greater decrease in the parameters studied
Evidenzbasierte Arzneimittelversorgung bei Seltenen Erkrankungen: die Rolle der Digitalisierung
Authors: Naumann-Winter Frauke , Kaiser Thomas , Behring Antje 
Published: October 2022

ZusammenfassungBei der Wissensgenerierung im Bereich der Arzneimittelentwicklung für Menschen mit Seltenen Erkrankungen (SE) sind besondere Schwierigkeiten zu überwinden. Welche Verbesserungen durch eine zunehmende Digitalisierung erwartet werden, wird in diesem Beitrag aus der Perspektive von 3 Institutionen im Gesundheitswesen aufgezeigt: dem Bundesinstitut für Arzneimittel und Medizinprodukte, dem Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen und dem Gemeinsamen Bundesausschuss.Zunächst wird das Potenzial der Digitalisierung vorgestellt, auch durch eine frühere Zusammenarbeit aller Beteiligten die Effizienz der klinischen Entwicklung und der regulatorischen Entscheidungsprozesse zu erhöhen. Im Anschluss wird argumentiert, dass mit Hilfe der Digitalisierung Hürden bei der Durchführung versorgungsnaher, auch registerbasierter randomisiert kontrollierter Studien abgebaut werden sollten. Hochwertige Registerstudien sollten nicht erst nach der Zulassung, sondern bereits während des Zulassungsprozesses begonnen werden, damit die für Therapieentscheidungen notwendige Evidenz zeitnah nach Zulassung vorliegt. Abschließend wird festgestellt, dass die Verbesserung der Datenlage durch qualitative Verbesserung der Datenquellen und deren Vernetzung unmittelbar den Patient*innen zugutekommt. Verwertbare Evidenz, die über einen längeren Zeitraum – auch über die Zulassung hinaus – generiert werden kann und geeignet ist, in Entscheidungen für das Gesundheitssystem einzufließen, stellt eine effektive Arzneimittelversorgung sicher.Die Institutionen sind sich einig, dass qualitativ hochwertige Indikationsregister als produktunabhängige, stehende Infrastrukturen entwickelt werden sollten, damit bereits früh in der Entwicklung von Arzneimitteln für SE auf hochwertige Daten zurückgegriffen werden kann.