bluuebunny/crossref_metadata_2025_split huggingface dataset:
High‐order robust control design with optimized parameters based on confidence index
Authors: Li Chenming , Zhao Yibo , Zhu Weiyong , Ma Chao , Yu Rongrong 
Published: June 2024

AbstractUnder the theoretical support of fuzzy sets theory and confidence index, the proposed approach involves the development of a high‐order robust control method that incorporates optimization techniques to address uncertain systems. First, the utilization of fuzzy sets theory is employed to establish a fuzzy dynamical model. Second, the design of a high‐order robust controller is performed. Third, the design parameters are optimized based on confidence index, and the values are found that minimize the control cost. The simulation results show that this high‐order robust control has significant advantages in dealing with uncertainty, as well as minimizing the control cost. It can be ensured the uniform boundedness and uniform ultimate boundedness. Thus, this proposed method offers the advantage of achieving both robustness and optimality simultaneously.
Knockin' on the bank's door: The impact of U.S. bank branch closures on self‐employment dynamics
Authors: Malkova Alina 
Published: June 2024

AbstractThe U.S. bank branch network has contracted since the 2010s, limiting borrowers' access to credit institutions. This paper analyzes the changes in banks' branch concentration and their effect on borrowers' choices of being self‐employed. To evaluate the impact of the bank branch closings, I use a shift‐share research design to assess self‐employment exits using zip code variation in preexisting bank market shares. I disaggregate the self‐employed into two categories: entrepreneurs whose businesses depend on business loans (incorporated self‐employed) and other self‐employed individuals (unincorporated self‐employed). Using a Community Advantage Panel Survey, I find that the proximity of credit market institutions has heterogeneous effects on self‐employment exits. While bank branch closures lead to a decline in incorporated businesses, particularly within a five‐mile radius, unincorporated businesses appear insignificantly affected.
Seismic performance of conrete‐filled steel tube column‐reinforced concrete beam frame using 100% recycled coarse aggregate
Authors: Xu Dingyi , Chen Zongping , Mo Linlin 
Published: June 2024

AbstractThis paper presents an experimental study of recycled concrete‐filled steel tube (CFST) columns with reinforced concrete (RC) beam frames using recycled aggregate under cyclic loading. A 1/3‐scale model of a CFST column‐RC beam frame with 100% recycled coarse aggregate was tested, the failure process and mode were monitored, and the hysteresis and skeleton curves were obtained. The seismic performance indexes were analyzed based on the test data, including the seismic force, plastic hinge sequence, ductility coefficient, inter‐story drift, dissipation capacity, and stiffness degeneration. The general behavior of the CFST column‐RC beam frame is discussed and compared with that of a normal aggregate concrete‐RC frame structure. The test results demonstrate that CFST column‐RC beam frames with 100% recycled coarse aggregate exhibit remarkable seismic performance and can be applied and popularized for construction in aseismic regions.
Material optimization of reinforced concrete structures in multiple limit states
Authors: Larsen Jeff , Poulsen Peter Noe , Olesen John Forbes , Hoang Linh Cao 
Published: June 2024

AbstractA common limitation in current material optimization methods for reinforced concrete structures is that they often concentrate solely on either the serviceability limit state (SLS) or the ultimate limit state (ULS). In response, this paper introduces a novel approach to optimize the material layout in planar reinforced concrete structures in plane stress, accounting for both limit states simultaneously. The proposed method employs an iterative strategy, integrating criteria for serviceability and ultimate limit states while approximating the elastoplastic behavior of cracked reinforced concrete. Here, the criteria for the limit states are incorporated as limits on the strains. The methodology initiates with a finite element limit analysis for the preliminary layout. The minimum potential energy principle is utilized to determine the strains for the nonlinear material response, and subsequently, an iterative linearized method is applied for material optimization. The research showcases the successful application of this approach to simple examples and presents improved and optimized solutions that adhere to the limit criteria for more complex structural scenarios.
Nomenclature governance of algae, fungi, and plants can become a more democratic process at the Madrid Nomenclature Section
Authors: Landrum Leslie R. 
Published: June 2024

AbstractThe governance of the nomenclature of algae, fungi, and plants as prescribed by the International Code of Nomenclature for algae, fungi, and plants is presently undemocratic in six ways: (1) the selection of the officers of nomenclature and the committee members; (2) restricted attendance to the Nomenclature Section because of the expense of attending; (3) attendees at the Nomenclature Section may carry up to 14 institutional votes and institutions have from 1 to 7 institutional votes; (4) the preliminary guiding vote carries little weight; (5) the General Committee can overturn decisions of the Specialist Committees; and (6) decisions of the General Committee can be approved in the Nomenclature Section by a minority (40% plus 1 vote). There is an opportunity to make nomenclature governance more democratic at the Nomenclature Section at Madrid by allowing virtual attendance, giving one and only one institutional vote to each institution, and changing approval of the decisions of the General Committee to a simple majority of 50%.
Complexes of bacteria‐recognizing engineered phage lysin and red‐colored bacteria microparticles as optical bioprobes for simple, rapid, naked‐eye detection of syphilis‐specific antibodies from clinical samples
Authors: Hu Wei , Zhang Lin , Tan Ye , Luo Jian , Xin Jingping , Zhang Gen , Xu Jinyin , Zhang Yangyang , Xu Ya , Li Ke , Zhang Yan , Mao Chuanbin 
Published: June 2024

AbstractSerological detection of syphilis‐specific antibodies is the most widely used clinical method for diagnosing syphilis. However, the current methods in clinical practice are too diverse, complicating result interpretation and wasting medical resources. To meet the resultant demand for a simple fast naked‐eye detection method, we employed the bacterial cell‐binding domain (CBD) of bacteriophage lysin to functionalize bio‐microparticles (engineered non‐culturable red‐colored Staphylococcus aureus bacteria), forming a bioprobe that can detect the syphilis‐specific antibodies from human serum in 5 min with naked eyes. Specifically, CBD is bioengineered by fusion with one of three antigens of the syphilis‐causing bacteria Treponema pallidum separately. The three resulting fusion proteins bind to the bacteria surface through the CBD motif, generating a bioprobe with the antigens exposed. When the bioprobe is added to the serum samples collected from the syphilis patients, the syphilis‐specific antibodies bind the antigens on the bioprobes and cross‐link them, forming eye‐visible red aggregates for the naked‐eye antibody detection. The bioprobe was validated on 209 clinical samples, revealing its high clinical sensitivity and specificity. Exploiting the natural biorecognition between the bacteria‐specific phage‐derived species and the phage host bacteria represents a promising strategy for producing facile probes for rapid point‐of‐care testing of infectious diseases.
Introduction
Authors: Labriet Maryse , Espegren Kari , Giannakidis George , Ó Gallachóir Brian 
Published: June 2024

AbstractThe tools and capabilities offered by ETSAP have been shaped by the evolving challenges related to the energy systems, from the oil crisis of the 70s, the air pollution concern of the 80s to the climate challenge from the 90s and now, the more holistic perspective of the Sustainable Development Goals (SDGs). The book collates together 15 case studies at global, regional (eg. Europe, Nordic countries), national (eg. Algeria, France, Ireland, Italy, Norway, Ukraine) and local scales (eg. Swedish municipalities), examining the co-benefits and trade-offs across SDGs associated directly or indirectly with the changes in the energy systems. The case studies discuss the needed adaptation of energy systems models to inform SDGs, including both endogenous improvements and novel applications of the models. They illustrate how energy systems models are used to assess the role of renewable energy and energy security in the implementation of the energy transition, considering the challenges of variable sources of energy, materials scarcity, and dependence on international energy markets, amongst others. The book also demonstrates how energy systems models are used to interact with policymakers in national and municipal debates. The book is the third of a series already edited by IEA-ETSAP. Its responds to the requirement of combining global ambitions in a more holistic and coherent way to pave the way for concrete and urgent steps to a sustainable future.
Translating Research Results into Policy Insights to Underpin Climate Action in Ireland
Authors: Ó Gallachóir Brian , Deane Paul , Rogan Fionn 
Published: June 2024

AbstractThis chapter presents innovative processes that have been developed and used to bridge the interface between the research ecosystem and policy-making ecosystem. It focuses on a specific case study, namely how energy systems modelling has been used to inform energy and climate mitigation policies in Ireland. We trace the development of energy systems modelling tools and capacity in Ireland over the past 15 years, and the key role it has played in addressing important policy questions related to delivery of a number of UN Sustainable Development Goals (SDGs). We also outline the parallel evolution of novel research communications methods, proactive engagement programmes with policy practitioners and co-production processes. Specific examples of energy and climate mitigation policies are highlighted to demonstrate how the research results have been used together with the communication and engagement methods not only to inform but also to underpin policy developments. The contributions of this work to the SDGs are highlighted, in particular SDG 13 on climate and SDG 7 on energy, but also SDG 12 on sustainable consumption and production and SDG 17 on partnerships. We conclude with a proposed seven stage approach, for energy modellers who wish to successfully bridge between the research and policy eco-systems, namely (1) undertake scientifically robust research, making methods and results openly and publicly available (2) frame research questions that respond to specific policy needs, (3) translate research results into policy insights (4) improve communications of research findings including through use of infographics (5) engage actively with policy practitioners and policy makers (6) co-produce policy with policy practitioners and (7) build absorptive capacity in the policy system.
Implications of the Net Zero Transition Scenarios on SDG Indicators: Linking Global Energy System, CGE and Atmospheric Source-Receptor Models
Authors: Chepeliev Maksym , Giannakidis George , Kanudia Amit , van der Mensbrugghe Dominique 
Published: June 2024

AbstractThis study contributes to a better understanding of synergies and trade-offs between climate mitigation and sustainable development goals, covering 17 indicators across various SDGs. Our assessment employs a multi-model framework, which includes a global computable general equilibrium model (ENVISAGE), an energy system model (KINESYS) and an atmospheric source-receptor model (TM5-FASST). This combination of modeling tools allows us to provide a detailed representation of the energy-related SDG indicators while accounting for their interactions with climate mitigation and socio-economic dimensions. We find that out of 17 analyzed SDG indicators, seven experience co-benefits from implementing mitigation efforts (including improved environmental footprints, energy efficiency and clean energy), six SDG indicators are subject to trade-offs (energy and food affordability, economic growth and labor participation), while the remaining four SDG indicators show mixed trends (distributional aspects and energy diversity). The identified trade-offs could be substantially reduced through specific policy solutions. We find that if the revenue collected from carbon pricing is recycled via reductions in factor taxes in selected low-carbon activities, as opposed to lump-sum payments to households, 11 out of 13 SDG dimensions analyzed in this regard would improve—reducing energy prices, increasing the share of renewable energy, improving distributional outcomes and decreasing welfare losses. In addition, we showcase the need for properly capturing interactions across various SDG dimensions by monetizing the co-benefits from improved air quality. We find that such co-benefits outweigh mitigation costs by more than a factor of two, thus changing trade-offs earlier identified for the case of economic growth into synergies. A higher ratio of air quality co-benefits relative to mitigation costs observed for developing countries could also lead to reductions in between-country inequality.
Amtliche Untersuchungsergebnisse von Einweg-E-Zigaretten aus dem Jahr 2022 in Deutschland
Authors: Kirsch Frauke , Kröner Eva-Maria , Lange Robert , Niemeyer Julia , Laible Miriam , Seidel Julia , Paulus Katrin , Stephani Annette , Tamosaite Sandra , Dünnebier Katja 
Published: June 2024

ZusammenfassungGesetzliche Regelungen legen fest, welchen Vorgaben E-Zigaretten entsprechen müssen, damit sie rechtmäßig in Verkehr gebracht werden können. Diese Regeln gelten auch für Einweg-E-Zigaretten, deren Nutzung insbesondere unter Jugendlichen verbreitet ist. Im Rahmen amtlicher Untersuchungen in verschiedenen deutschen Bundesländern wurden im Jahr 2022 bei 250 Einweg-E-Zigaretten einige dieser rechtlichen Vorgaben mit Blick auf die Verkehrsfähigkeit untersucht. Neben der Kennzeichnung (Nikotingehalt, Füllvolumen/Zuganzahl, Nikotinwarnhinweise, Beipackzettel, Gefahrstoffkennzeichnung) wurden auch die Produktsicherheit (Kindersicherung) sowie Aspekte der Täuschung von Verbraucherinnen und Verbrauchern und die Erfüllung der Meldepflicht im einheitlichen elektronischen Portal der EU (EU-CEG) (https://health.ec.europa.eu/eu-common-entry-gate-eu-ceg/providing-information-tobacco-products-e-cigarettes-and-refill-containers-eu-common-entry-gate-eu_de%20%20Zugriff:%2013.05.2024) betrachtet. Keine der untersuchten Einweg-E-Zigaretten erwies sich als verkehrsfähig, da mindestens bei einem beanstandungsfähigen Kriterium erhebliche Mängel festgestellt wurden.
Poly (ADP-ribose) polymerase 1 promotes HuR/ELAVL1 cytoplasmic localization and inflammatory gene expression by regulating p38 MAPK activity
Authors: Fu Xingyue , Zhang Jiaqi , Sun Keke , Zhang Meiqi , Wang Shuyan , Yuan Meng , Liu Wenguang , Zeng Xianlu , Ba Xueqing , Ke Yueshuang 
Published: June 2024

AbstractPost-transcriptional regulation of cytokine/chemokine mRNA turnover is critical for immune processes and contributes to the mammalian cellular response to diverse inflammatory stimuli. The ubiquitous RNA-binding protein human antigen R (HuR) is an integral regulator of inflammation-associated mRNA fate. HuR function is regulated by various post-translational modifications that alter its subcellular localization and ability to stabilize target mRNAs. Both poly (ADP-ribose) polymerase 1 (PARP1) and p38 mitogen-activated protein kinases (MAPKs) have been reported to regulate the biological function of HuR, but their specific regulatory and crosstalk mechanisms remain unclear. In this study, we show that PARP1 acts via p38 to synergistically promote cytoplasmic accumulation of HuR and stabilization of inflammation-associated mRNAs in cells under inflammatory conditions. Specifically, p38 binds to auto-poly ADP-ribosylated (PARylated) PARP1 resulting in the covalent PARylation of p38 by PARP1, thereby promoting the retention and activity of p38 in the nucleus. In addition, PARylation of HuR facilitates the phosphorylation of HuR at the serine 197 site mediated by p38, which then increases the translocation of HuR to the cytoplasm, ultimately stabilizing the inflammation-associated mRNA expression at the post-transcriptional level.
Uniform convergence of solutions to stochastic hybrid models of gene regulatory networks
Authors: Dobrick Alexander , Hölz Julian 
Published: June 2024

AbstractIn a recent paper by Kurasov et al. (Math Biosci 305:170–177, 2018), a hybrid gene regulatory network was proposed to model gene expression dynamics by using a stochastic system of coupled partial differential equations. In more recent work, the existence and strong convergence of the solutions to equilibrium were proven. In this article, we improve upon their result by showing that the convergence rate is independent of the initial state, therefore proving that the solutions converge not only strongly but even uniformly to equilibrium. To this end, we make use of a recent convergence theorem for stochastic, irreducible semigroups that contain partial integral operators.
Vertical maximal functions on manifolds with ends
Authors: Sharma Himani , Sikora Adam 
Published: June 2024

AbstractWe consider the setting of manifolds with ends which are obtained by compact perturbation (gluing) of ends of the form $${\mathbb {R}}^{n_i}\times {\mathcal {M}}_i$$

R

n
i

×

M
i

. We investigate the family of vertical resolvent $$\{\sqrt{t}\nabla (1+t\Delta )^{-m}\}_{t>0}$$

{

t

∇

(
1
+
t
Δ
)

-
m

}

t
>
0

, where $$m\ge 1$$

m
≥
1

. We show that the family is uniformly continuous on all $$L^p$$

L
p

for $$1\le ~p~\le ~\min _{i}n_i$$

1
≤

p

≤

min
i

n
i

. Interestingly, this is a closed-end condition in the considered setting. We prove that the corresponding maximal function is bounded in the same range except that it is only weak-type (1, 1) for $$p=1$$

p
=
1

. The Fefferman-Stein vector-valued maximal function is again of weak-type (1, 1) but bounded if and only if $$1<p<\min _{i}n_i$$

1
<
p
<

min
i

n
i

, and not at $$p=\min _{i}n_i$$

p
=

min
i

n
i

.
Expansion and Functional Diversification of Long-Wavelength-Sensitive Opsin in Anabantoid Fishes
Authors: Gerwin Jan , Torres-Dowdall Julián , Brown Thomas F. , Meyer Axel 
Published: June 2024

AbstractGene duplication is one of the most important sources of novel genotypic diversity and the subsequent evolution of phenotypic diversity. Determining the evolutionary history and functional changes of duplicated genes is crucial for a comprehensive understanding of adaptive evolution. The evolutionary history of visual opsin genes is very dynamic, with repeated duplication events followed by sub- or neofunctionalization. While duplication of the green-sensitive opsins rh2 is common in teleost fish, fewer cases of multiple duplication events of the red-sensitive opsin lws are known. In this study, we investigate the visual opsin gene repertoire of the anabantoid fishes, focusing on the five lws opsin genes found in the genus Betta. We determine the evolutionary history of the lws opsin gene by taking advantage of whole-genome sequences of nine anabantoid species, including the newly assembled genome of Betta imbellis. Our results show that at least two independent duplications of lws occurred in the Betta lineage. The analysis of amino acid sequences of the lws paralogs of Betta revealed high levels of diversification in four of the seven transmembrane regions of the lws protein. Amino acid substitutions at two key-tuning sites are predicted to lead to differentiation of absorption maxima (λmax) between the paralogs within Betta. Finally, eye transcriptomics of B. splendens at different developmental stages revealed expression shifts between paralogs for all cone opsin classes. The lws genes are expressed according to their relative position in the lws opsin cluster throughout ontogeny. We conclude that temporal collinearity of lws expression might have facilitated subfunctionalization of lws in Betta and teleost opsins in general.
Novel aspects of ethylene glycol catabolism
Authors: Shimizu Tetsu , Inui Masayuki 
Published: June 2024

Abstract
Ethylene glycol (EG) is an industrially important two-carbon diol used as a solvent, antifreeze agent, and building block of polymers such as poly(ethylene terephthalate) (PET). Recently, the use of EG as a starting material for the production of bio-fuels or bio-chemicals is gaining attention as a sustainable process since EG can be derived from materials not competing with human food stocks including CO2, syngas, lignocellulolytic biomass, and PET waste. In order to design and construct microbial process for the conversion of EG to value-added chemicals, microbes capable of catabolizing EG such as Escherichia coli, Pseudomonas putida, Rhodococcus jostii, Ideonella sakaiensis, Paracoccus denitrificans, and Acetobacterium woodii are candidates of chassis for the construction of synthetic pathways. In this mini-review, we describe EG catabolic pathways and catabolic enzymes in these microbes, and further review recent advances in microbial conversion of EG to value-added chemicals by means of metabolic engineering.

Key points
• Ethylene glycol is a potential next-generation feedstock for sustainable industry.
• Microbial conversion of ethylene glycol to value-added chemicals is gaining attention.
• Ethylene glycol-utilizing microbes are useful as chassis for synthetic pathways.
Assessment of Fungal Lytic Enzymatic Extracts Produced Under Submerged Fermentation as Enhancers of Entomopathogens’ Biological Activity
Authors: Mejía Cindy , Bautista Eddy J. , García Lorena , Barrios Murcia Juan Carlos , Barrera Gloria 
Published: June 2024

AbstractThe application of enzymes in agricultural fields has been little explored. One potential application of fungal lytic enzymes (chitinases, lipases, and proteases) is as an additive to current biopesticides to increase their efficacy and reduce the time of mortality. For this, a screening of lytic overproducer fungi under submerged fermentation with a chemical-defined medium was performed. Then, the enzymatic crude extract (ECE) was concentrated and partially characterized. This characterization consisted of measuring the enzymatic activity (lipase, protease and, chitinase) and determining the enzyme stability after storage at temperatures of − 80, − 20 and, 4 °C. And lastly, the application of these concentrated enzymatic crude extracts (C-ECE) as an enhancer of spores-based fungal biopesticide was proven. Beauveria were not as good producers of lytic enzymes as the strains from Trichoderma and Metarhizium. The isolate M. robertsii Mt015 was selected for the co-production of chitinases and proteases; and the isolate T. harzianum Th180 for co-production of chitinases, lipases, and proteases. The C-ECE of Mt015 had a protease activity of 18.6 ± 1.1 U ml−1, chitinase activity of 0.28 ± 0.01 U ml−1, and no lipase activity. Meanwhile, the C-ECE of Th180 reached a chitinase activity of 0.75 U ml−1, lipase activity of 0.32 U ml−1, and protease activity of 0.24 U ml−1. Finally, an enhancing effect of the enzymatic extracts of M. robertsii (66.7%) and T. harzianum (43.5%) on the efficacy of B. bassiana Bv064 against Diatraea saccharalis larvae was observed. This work demonstrates the non-species-specific enhancing effect of enzymatic extracts on the insecticidal activity of conidial-based biopesticides, which constitutes a contribution to the improvement of biological control agents’ performance.