bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM)
Authors: Jæger Karoline Horgmo , Tveito Aslak
Published: June 2023

Mathematical models based on homogenized representation of cardiac tissue have greatly improved our understanding of cardiac electrophysiology. However, these models are too coarse to investigate the dynamics at the level of the myocytes since the cells are not present in homogenized models. Recently, fine scale models have been proposed to allow for cell-level resolution of the dynamics, but these models are too computationally expensive to be used in applications like whole heart simulations of large animals. To address this issue, we propose a model that balances computational demands and physiological accuracy. The model is founded on Kirchhoff’s current law, and represents every myocyte in the tissue. This allows specific properties to be assigned to individual cardiomyocytes, and other cell types like fibroblasts can be added to the model in an accurate manner while keeping the computing efforts reasonable.
Genetic stabilization of attenuated oral vaccines against poliovirus types 1 and 3
Authors: Yeh Ming Te , Smith Matthew , Carlyle Sarah , Konopka-Anstadt Jennifer L. , Burns Cara C. , Konz John , Andino Raul , Macadam Andrew
Published: June 2023

Vaccination with Sabin, a live attenuated oral polio vaccine (OPV), results in robust intestinal and humoral immunity and has been key to controlling poliomyelitis. As with any RNA virus, OPV evolves rapidly to lose attenuating determinants critical to the reacquisition of virulence1–3 resulting in vaccine-derived, virulent poliovirus variants. Circulation of these variants within underimmunized populations leads to further evolution of circulating, vaccine-derived poliovirus with higher transmission capacity, representing a significant risk of polio re-emergence. A new type 2 OPV (nOPV2), with promising clinical data on genetic stability and immunogenicity, recently received authorization from the World Health Organization for use in response to circulating, vaccine-derived poliovirus outbreaks. Here we report the development of two additional live attenuated vaccine candidates against type 1 and 3 polioviruses. The candidates were generated by replacing the capsid coding region of nOPV2 with that from Sabin 1 or 3. These chimeric viruses show growth phenotypes similar to nOPV2 and immunogenicity comparable to their parental Sabin strains, but are more attenuated. Our experiments in mice and deep sequencing analysis confirmed that the candidates remain attenuated and preserve all the documented nOPV2 characteristics concerning genetic stability following accelerated virus evolution. Importantly, these vaccine candidates are highly immunogenic in mice as monovalent and multivalent formulations and may contribute to poliovirus eradication.
A physiological signal database of children with different special needs for stress recognition
Authors: Coşkun Buket , Ay Sevket , Erol Barkana Duygun , Bostanci Hilal , Uzun İsmail , Oktay Ayse Betul , Tuncel Basak , Tarakci Devrim
Published: June 2023

This study presents a new dataset AKTIVES for evaluating the methods for stress detection and game reaction using physiological signals. We collected data from 25 children with obstetric brachial plexus injury, dyslexia, and intellectual disabilities, and typically developed children during game therapy. A wristband was used to record physiological data (blood volume pulse (BVP), electrodermal activity (EDA), and skin temperature (ST)). Furthermore, the facial expressions of children were recorded. Three experts watched the children’s videos, and physiological data is labeled “Stress/No Stress” and “Reaction/No Reaction”, according to the videos. The technical validation supported high-quality signals and showed consistency between the experts.
The role of superficial and deep layers in the generation of high frequency oscillations and interictal epileptiform discharges in the human cortex
Authors: Fabo Daniel , Bokodi Virag , Szabó Johanna-Petra , Tóth Emilia , Salami Pariya , Keller Corey J. , Hajnal Boglárka , Thesen Thomas , Devinsky Orrin , Doyle Werner , Mehta Ashesh , Madsen Joseph , Eskandar Emad , Erőss Lorand , Ulbert István , Halgren Eric , Cash Sydney S.
Published: June 2023

Describing intracortical laminar organization of interictal epileptiform discharges (IED) and high frequency oscillations (HFOs), also known as ripples. Defining the frequency limits of slow and fast ripples. We recorded potential gradients with laminar multielectrode arrays (LME) for current source density (CSD) and multi-unit activity (MUA) analysis of interictal epileptiform discharges IEDs and HFOs in the neocortex and mesial temporal lobe of focal epilepsy patients. IEDs were observed in 20/29, while ripples only in 9/29 patients. Ripples were all detected within the seizure onset zone (SOZ). Compared to hippocampal HFOs, neocortical ripples proved to be longer, lower in frequency and amplitude, and presented non-uniform cycles. A subset of ripples (≈ 50%) co-occurred with IEDs, while IEDs were shown to contain variable high-frequency activity, even below HFO detection threshold. The limit between slow and fast ripples was defined at 150 Hz, while IEDs’ high frequency components form clusters separated at 185 Hz. CSD analysis of IEDs and ripples revealed an alternating sink-source pair in the supragranular cortical layers, although fast ripple CSD appeared lower and engaged a wider cortical domain than slow ripples MUA analysis suggested a possible role of infragranularly located neural populations in ripple and IED generation. Laminar distribution of peak frequencies derived from HFOs and IEDs, respectively, showed that supragranular layers were dominated by slower (< 150 Hz) components. Our findings suggest that cortical slow ripples are generated primarily in upper layers while fast ripples and associated MUA in deeper layers. The dissociation of macro- and microdomains suggests that microelectrode recordings may be more selective for SOZ-linked ripples. We found a complex interplay between neural activity in the neocortical laminae during ripple and IED formation. We observed a potential leading role of cortical neurons in deeper layers, suggesting a refined utilization of LMEs in SOZ localization.
Reduced vmPFC-insula functional connectivity in generalized anxiety disorder: a Bayesian confirmation study
Authors: Steinhäuser Jonas L. , Teed Adam R. , Al-Zoubi Obada , Hurlemann René , Chen Gang , Khalsa Sahib S.
Published: June 2023

Differences in the correlated activity of networked brain regions have been reported in individuals with generalized anxiety disorder (GAD) but an overreliance on null-hypothesis significance testing (NHST) limits the identification of disorder-relevant relationships. In this preregistered study, we applied both a Bayesian statistical framework and NHST to the analysis of resting-state fMRI scans from females with GAD and matched healthy comparison females. Eleven a-priori hypotheses about functional connectivity (FC) were evaluated using Bayesian (multilevel model) and frequentist (t-test) inference. Reduced FC between the ventromedial prefrontal cortex (vmPFC) and the posterior-mid insula (PMI) was confirmed by both statistical approaches and was associated with anxiety sensitivity. FC between the vmPFC-anterior insula, the amygdala-PMI, and the amygdala-dorsolateral prefrontal cortex (dlPFC) region pairs did not survive multiple comparison correction using the frequentist approach. However, the Bayesian model provided evidence for these region pairs having decreased FC in the GAD group. Leveraging Bayesian modeling, we demonstrate decreased FC of the vmPFC, insula, amygdala, and dlPFC in females with GAD. Exploiting the Bayesian framework revealed FC abnormalities between region pairs excluded by the frequentist analysis and other previously undescribed regions in GAD, demonstrating the value of applying this approach to resting-state FC data in clinical investigations.
Iron nanoparticle regulate succinate dehydrogenase activity in canola plants under drought stress
Authors: Rezayian Maryam , Niknam Vahid , Arabloo Maryam
Published: June 2023

Application of nutrients as nanoparticle (NP) is an operative manner of nutrient supply for plants, especially under stress conditions. The present study was designed to highlight the role of iron NP on drought tolerance and elucidate the underlying mechanisms in drought-stressed canola plants. Drought stress was imposed by polyethylene glycol different concentrations (0, 10 and 15% (W/V)) with or without iron NP (1.5 and 3 mg/l). A comparative study of several physiological and biochemical parameters have been carried out in canola plants treated by drought and iron NP. Stressed-canola plants showed a reduction in growth parameters, whereas iron NP mostly stimulated growth of stressed plants, which was accompanied by reinforcement in defense mechanisms. Regarding impacts on compatible osmolytes, the data revealed that iron NP was able to regulate osmotic potential by increasing protein, proline and soluble sugar contents. The iron NP application was activated the enzymatic defense system (catalase and polyphenol oxidase) and promoted the non-enzymatic antioxidants (phenol, flavonol and flavonoid). Both of these adaptive responses declined free radicals as well as lipid peroxidation and enhanced the membrane stability and drought tolerance of the plants. Enhanced chlorophyll accumulation via induction of protoporphyrin, magnesium protoporphyrin and protochlorophyllide, by iron NP also contributed towards better stress tolerance. Enzymes of Krebs cycle, namely succinate dehydrogenase and aconitase, were induced by iron NP in canola plants grown under drought stress. These results propose a multifaceted involvement of iron NP, through regulation of activity of respiratory enzymes and antioxidant enzymes, production of reactive oxygen species, osmoregulation and secondary metabolites metabolism, in response to drought stress.
Simultaneous reduction of all ORMDL proteins decreases the threshold of mast cell activation
Authors: Demkova Livia , Bugajev Viktor , Utekal Pavol , Kuchar Ladislav , Schuster Björn , Draber Petr , Halova Ivana
Published: June 2023

In mammals, the ORMDL family of evolutionarily conserved sphingolipid regulators consists of three highly homologous members, ORMDL1, ORMDL2 and ORMDL3. ORMDL3 gene has been associated with childhood-onset asthma and other inflammatory diseases in which mast cells play an important role. We previously described increased IgE-mediated activation of mast cells with simultaneous deletions of ORMDL2 and ORMDL3 proteins. In this study, we prepared mice with Ormdl1 knockout and thereafter, produced primary mast cells with reduced expression of one, two or all three ORMDL proteins. The lone deletion of ORMDL1, or in combination with ORMDL2, had no effect on sphingolipid metabolism nor IgE-antigen dependent responses in mast cells. Double ORMDL1 and ORMDL3 knockout mast cells displayed enhanced IgE-mediated calcium responses and cytokine production. Silencing of ORMDL3 in mast cells after maturation increased their sensitivity to antigen. Mast cells with reduced levels of all three ORMDL proteins demonstrated pro-inflammatory responses even in the absence of antigen activation. Overall, our results show that reduced levels of ORMDL proteins shift mast cells towards a pro-inflammatory phenotype, which is predominantly dependent on the levels of ORMDL3 expression.
Structural and functional analysis of a plant nucleolar RNA chaperone-like protein
Authors: Fernandes Rita , Ostendorp Anna , Ostendorp Steffen , Mehrmann Judith , Falke Sven , Graewert Melissa Ann , Weingartner Magdalena , Kehr Julia , Hoth Stefan
Published: June 2023

Ribosome biogenesis is a key process in all eukaryotic cells that requires hundreds of ribosome biogenesis factors (RBFs), which are essential to build the mature ribosomes consisting of proteins and rRNAs. The processing of the required rRNAs has been studied extensively in yeast and mammals, but in plants much is still unknown. In this study, we focused on a RBF from A. thaliana that we named NUCLEOLAR RNA CHAPERONE-LIKE 1 (NURC1). NURC1 was localized in the nucleolus of plant cell nuclei, and other plant RBF candidates shared the same localization. SEC-SAXS experiments revealed that NURC1 has an elongated and flexible structure. In addition, SEC-MALLS experiments confirmed that NURC1 was present in its monomeric form with a molecular weight of around 28 kDa. RNA binding was assessed by performing microscale thermophoresis with the Arabidopsis internal transcribed spacer 2 (ITS2) of the polycistronic pre-rRNA precursor, which contains the 5.8S, 18S, and 25S rRNA. NURC1 showed binding activity to the ITS2 with a dissociation constant of 228 nM and exhibited RNA chaperone-like activity. Our data suggested that NURC1 may have a function in pre-rRNA processing and thus ribosome biogenesis.
Mitochondrial complex III activity: from invasive muscle biopsies to patient-friendly buccal swab analysis
Authors: Somers Tim , Allard Neeltje A. E. , Siddiqi Sailay , Janssen Margit C. M. , Hopman Maria T. E. , Morshuis Wim J. , Russel Frans G. M. , Timmers Silvie , Schirris Tom J. J.
Published: June 2023

Drug-induced mitochondrial dysfunction is a common adverse effect, particularly in case of statins—the most prescribed drugs worldwide. These drugs have been shown to inhibit complex III (CIII) of the mitochondrial oxidative phosphorylation process, which is related to muscle pain. As muscle pain is the most common complaint of statin users, it is crucial to distinguish it from other causes of myalgia to prevent unnecessary cessation of drug therapy. However, diagnosing CIII inhibition currently requires muscle biopsies, which are invasive and not practical for routine testing. Less invasive alternatives for measurement of mitochondrial complex activities are only available yet for complex I and IV. Here, we describe a non-invasive spectrophotometric method to determine CIII catalytic activities using buccal swabs, which we validated in a cohort of statin and non-statin users. Our data indicate that CIII can be reliably measured in buccal swabs, as evidenced by reproducible results above the detection limit. Further validation on a large-scale clinical setting is recommended.
Design optimization and experiment of corn U-shaped fertilization device
Authors: Zuo Zheng , Zhao Jianguo , Yin Baozhong , Li Lixia , Jia Hetong , Zhang Baochuan , Ma Zhikai , Hao Jianjun , Wang Zhenyang
Published: June 2023

Aiming at the problems of low utilization rate of corn fertilizer, low precision of fertilization ratio, and time-consuming and laborious topdressing in the later stage, an U-shaped fertilization device with uniform fertilizer mechanism was designed. The device was mainly composed of uniform fertilizer mixing mechanism, fertilizer guide plate and fertilization plate. Compound fertilizer was applied on both sides and slow/controlled release fertilizer was applied at the bottom to form an U-shaped distribution of fertilizer around corn seeds. Through theoretical analysis and calculation, the structural parameters of the fertilization device were determined. Through the simulated soil tank test, the quadratic regression orthogonal rotation combination design was carried out on the main factors affecting the spatial stratification effect of fertilizer. The optimal parameters were obtained as follows: the stirring speed of the stirring structure was 300 r/min, the bending angle of the fertilization tube was 165°, and the operating speed of the fertilization device was 3 km/h. The results of bench verification test showed that under the optimized stirring speed and bending angle, the fertilizer particles were stirred evenly, and the average values of fertilizer flowing out of the fertilization tubes on both sides were 299.5 g and 297.4 g, respectively. The average fertilizer amounts of the three fertilizer outlets were 200.4 g, 203.2 g and 197.7 g, respectively, which met the agronomic requirements of 1:1:1 fertilization, and the variation coefficients of fertilizer amounts on both sides of the fertilizer pipe and each layer were less than 0.1% and 0.4%, respectively. The simulation results of the optimized U-shaped fertilization device can achieve the expected U-shaped fertilization effect around corn seeds. The results of field experiment showed that the U-shaped fertilization device could realize the U-shaped proportional application of fertilizer in soil. The distance between the upper end of fertilization on both sides and the distance between the base fertilizer and the surface were 87.3–95.2 mm and 197.8–206.0 mm, respectively. The transverse distance between the fertilizers on both sides was 84.3–99.4 mm, and the error with the designed theoretical fertilization was within 10 mm. Compared with the traditional side fertilization method, the number of corn roots increased by 5–6, the root length increased by 30–40 mm, and the yield increased by 9.9–14.8%.
Resonant plasmonic detection of terahertz radiation in field-effect transistors with the graphene channel and the black-As$$_x$$P$$_{1-x}$$ gate layer
Authors: Ryzhii V. , Tang C. , Otsuji T. , Ryzhii M. , Mitin V. , Shur M. S.
Published: June 2023

We propose the terahertz (THz) detectors based on field-effect transistors (FETs) with the graphene channel (GC) and the black-Arsenic (b-As) black-Phosphorus (b-P), or black-Arsenic-Phosphorus (b-As$$_x$$

x

P$$_{1-x}$$

1
-
x

) gate barrier layer. The operation of the GC-FET detectors is associated with the carrier heating in the GC by the THz electric field resonantly excited by incoming radiation leading to an increase in the rectified current between the channel and the gate over the b-As$$_x$$

x

P$$_{1-x}$$

1
-
x

energy barrier layer (BLs). The specific feature of the GC-FETs under consideration is relatively low energy BLs and the possibility to optimize the device characteristics by choosing the barriers containing a necessary number of the b-As$$_x$$

x

P$$_{1-x}$$

1
-
x

atomic layers and a proper gate voltage. The excitation of the plasma oscillations in the GC-FETs leads to the resonant reinforcement of the carrier heating and the enhancement of the detector responsivity. The room temperature responsivity can exceed the values of $$10^3$$

10
3

 A/W. The speed of the GC-FET detector’s response to the modulated THz radiation is determined by the processes of carrier heating. As shown, the modulation frequency can be in the range of several GHz at room temperatures.
Diverse types of coupling trends in urban tree and nontree vegetation associated with urbanization levels
Authors: Leng Song , Sun Ranhao , Yang Xiaojun , Jin Mingxin , Chen Liding
Published: June 2023

Cities are increasingly recognizing the benefits of incorporating urban greening strategies into their planning and design to improve sustainability and livability. However, the specific contribution of tree versus nontree vegetation has not been adequately studied in the context of urban greening and rapid urbanization. In this study, we investigated the spatiotemporal variations of urban tree and nontree coverage in China during 2000–2020 by using satellite observations. Results show the nationwide mean urban tree coverage increased by 0.073 ± 0.511% per year (mean ± 1 standard deviation), while nontree vegetation coverage decreased by 0.584 ± 1.022% per year. We found that the majority of mega- and large cities had a contrasting vegetation pattern, with significantly ascending trends in both tree and nontree coverages in urban core areas but descending trends in peri-urban areas. These trends were positively associated with multiple greenness indices, suggesting the importance of the vegetation structure for growth and productivity in urban areas. This study highlights the predominance of enhancing vegetation growth in urban areas primarily driven by significantly increasing tree cover in China, and can further serve as a reference for global vegetation study.
Synthesis of Lignin Nanoparticles and Hydrogels
Authors: Ruiz-Rubio L. , Vilela J. L. Vilas
Published: June 2023

The increasing consumption of raw materials and the concern about the environmental risks related to it have induced the search for alternative sustainable materials. Among the new sources of materials, lignin is an excellent example of biomass-derived materials; since it is the second most abundant biopolymer in the world and a non-expensive material, it is gaining attention as a sustainable material with a bright future. In this context, lignin-based nanoparticles and hydrogels exhibit interesting properties such as antimicrobial activity and biocompatibility and can thus replace some synthetic materials. Thus, they can be considered as promising biomaterials for a wide variety of applications in biomedicine and agriculture, among others. Lignin is a crosslinked polymer with many functional hydrophilic and active groups, such as hydroxyls, carbonyls and methoxyls, which can be used as active groups in the synthesis of biodegradable hydrogels. This chapter describes the main synthetic methods for the preparation of lignin-based hydrogels and nanoparticles. Different synthetic pathways based on their chemical and/or physical interactions are summarized. In addition, a brief review of their most recent applications is also provided.
Lignin and Its Composites for Tissue Engineering
Authors: Shoushrah Sarah Hani , Alzagameem Abla , Bergrath Jonas , Tobiasch Edda , Schulze Margit
Published: June 2023

Tissue engineering (TE) is a progressive field that aims to provide alternative treatments that bypass drawbacks of conventional medicine. The components of a tissue-engineered construct include commonly a scaffold and cells with or without biochemical molecules. The interactions between these components and the surrounding target tissue determine the success of the construct. Therefore, certain criteria must be met in scaffolds designed for clinical purposes. In this chapter, these criteria will be introduced. Focus is given to lignin, the second most abundant biopolymer on earth. Its availability, biocompatibility, antioxidant and antimicrobial activities, biodegradability, and mechanical properties have attracted the attention of researchers in many applications including biomedical applications. Recent efforts focus on the utilization of lignin as a sustainable building unit for the preparation of scaffold materials. In this chapter, the properties of lignin that contribute to its bioactivity, especially its antioxidant and antimicrobial properties, will be discussed. The benefits of using lignin compared to other materials will be highlighted, followed by addressing the criteria that should be met when designing a lignin-based scaffold. Also, possible cellular compositions of several targeted tissues will be introduced in the context of their natural characteristics within the respective tissue. Another focus will be the possible utilization of various stem cells and their secreted biomolecules for their feasibility as cell sources for scaffolds to be intended for TE. Understanding these tightly orchestrated systems provides an insight into suitable cellular models for testing newly fabricated scaffolds for future applications in clinical settings.
Lignin and Its Composites for Wound Dressing
Authors: Bach Horacio
Published: June 2023

Mechanical damage to the skin due to an injury provoked by a cut or other impact facilitates the penetration, invasion, and colonization of microorganisms into the epithelial layer, favoring the development of infections. This situation is exacerbated when opportunistic microorganisms or pathogens reach deeper layers in the skin, where bacteria can proliferate under aerobic or anaerobic conditions. This sort of infection can compromise healing by delaying the scarring process. More complex situations occur when the wound is caused by burning, leading to further complications because more necrotized tissue is exposed, allowing bacteria to replicate on a greater surface. This situation is exacerbated when the wound starts to exudate during its healing process. Exudates or wound drainage develop a rich environment for epithelial cells to migrate to the wound. It is an aqueous fluid containing nutrients, inflammatory mediators, proteins, leukocytes, etc. Unfortunately, this enriched environment also favors the growth of bacteria that can lead to infected acute or chronic wounds. Therefore, considering the problems that might be derived from a skin injury, the development of effective wound dressing is a need for wound care. This chapter will discuss the applications of lignin in combination with nanocomposites for wound care. These applications include the use of lignin combined with nanoparticles, hydrogels, nanofibers, etc. This chapter will also discuss the toxicity, anti-inflammatory, antioxidant, and antimicrobial properties, and physiological concerns of lignin-based nanocomposites.
Protein network analysis links the NSL complex to Parkinson’s disease via mitochondrial and nuclear biology
Authors: Kelly Katie , Lewis Patrick A. , Plun-Favreau Helene , Manzoni Claudia
Published: June 2023

Protein interaction network analysis reveals mitochondrial and nuclear roles for the NSL complex in Parkinson’s disease.
Single-step electropolymerization on a printed sensor towards a conductive thin film polymer for the simultaneous determination of drug metabolites: 5-aminosalicylic acid and sulfapyridine
Authors: Thangphatthanarungruang Jeerakit , Chotsuwan Chuleekorn , Chailapakul Orawon , Siangproh Weena
Published: June 2023

A polymeric l-methionine-modified SPGE was proposed to directly determine 5-aminosalicylic acid and sulfapyridine simultaneously in real human urine samples.
Microbe-loaded bioink designed to support therapeutic yeast growth
Authors: Etter Emma L. , Heavey Mairead K. , Errington Matthew , Nguyen Juliane
Published: June 2023

Platform for sustained delivery of engineered microbes through loading into a nutrient-dense, 3D-printed hydrogel.
Photocatalytic chemo-, regio- & stereoselective olefinic β-C–H decarboxylative alkylation of enamides with diacyl peroxides
Authors: Liu Han , Wu Yechun , Liu Lingli , Yu Jin-Tao , Pan Changduo
Published: June 2023

A visible-light induced, chemo-, regio- and stereoselective olefinic β-C–H alkylation of enamides with alkyl diacyl peroxides was developed.
Decarbonylation of benzaldehydes by dual photoorgano-cobalt catalysis
Authors: Kolb Daniel , Morgenstern Martin , König Burkhard
Published: June 2023

Light-driven defunctionalization: circumventing heat and noble-metals for the decarbonylation of benzaldehydes.
The interplay between size, shape, and surface segregation in high-entropy nanoalloys
Authors: Calvo Florent
Published: June 2023

The miscibility of various elements in a high-entropy nanoalloy depends on its size and shape.
Anhydrous copper tellurite disulfate Cu3TeO3(SO4)2 featuring the coexistence of spin singlets and a long-range antiferromagnetic order
Authors: Murtazoev Alisher F. , Berdonosov Peter S. , Lyssenko Konstantin A. , Dolgikh Valery A. , Pchelkina Zlata V. , Zakharov Konstantin V. , Geidorf Michael Y. , Vasilchikova Tatyana M. , Volkova Olga S. , Vasiliev Alexander N.
Published: June 2023

Cu3TeO3(SO4)2 features the coexistence of spin singlets and a long-range Néel order. An anomaly in its dielectric permittivity, which accompanies the magnetic order, allows considering it as a magnetoelectric multiferroic material of the second type.
Ba14Si4Sb8Te32(Te3): hypervalent Te in a new structure type with low thermal conductivity
Authors: Jana Subhendu , Yadav Sweta , Swati  , Niranjan Manish K. , Prakash Jai
Published: June 2023

A new quaternary polytelluride crystallizing in its own structure type has been synthesized, and its properties have been studied in detail.
Correction: Disentangling contributions to guest binding inside a coordination cage host: analysis of a set of isomeric guests with differing polarities
Authors: Mozaceanu Cristina , Solea Atena B. , Taylor Christopher G. P. , Sudittapong Burin , Pruñonosa Lara Lidón , Ward Michael D.
Published: June 2023

Correction for ‘Disentangling contributions to guest binding inside a coordination cage host: analysis of a set of isomeric guests with differing polarities’ by Cristina Mozaceanu et al., Dalton Trans., 2022, 51, 15263–15272, https://doi.org/10.1039/D2DT02623F.
Recent advancements in pharmacological strategies to modulate energy balance for combating obesity
Authors: Pati Benudhara , Sendh Satyabrata , Sahu Bijayashree , Pani Sunil , Jena Nivedita , Bal Naresh Chandra
Published: June 2023

The prevalence of obesity along with its related metabolic diseases has increased globally in recent decades.
Discovery and development of novel substituted monohydrazides as potent antifungal agents
Authors: Thamban Chandrika Nishad , Green Keith D. , Spencer Abbygail C. , Tsodikov Oleg V. , Garneau-Tsodikova Sylvie
Published: June 2023

Novel substituted monohydrazides synthesized for this study displayed broad-spectrum activity against various fungal strains, including a panel of clinically relevant Candida auris strains.
Identification of nanoparticles as vesicular cargoviaAiry scanning fluorescence microscopy and spatial statistics
Authors: Wimmenauer Christian , Heinzel Thomas
Published: June 2023

Many biomedical applications of nanoparticles on the cellular level require a characterisation of their subcellular distribution.
Effects of K-doping on the microstructure and photocatalytic performance of porous g-C3N4 nanosheets
Authors: Du Zhenxi , An Wenxiang , Luo Shenghao , Chen Shuoyu , Fu Yuechun , He Huan , Shen Xiaoming
Published: June 2023

The PNCN-K photocatalyst with a suitable K-doping amount exhibits a lower bandgap and improved transfer and separation efficiencies of photogenerated carriers. Therefore, the photodegradation performance of RhB by the PNCN-K is greatly enhanced.
Intrinsic auxeticity and mechanical anisotropy of Si9C15 siligraphene
Authors: Zhou Jianli , Li Jian , Zhang Jin
Published: June 2023

We report intrinsic negative Poisson's ratios in Si9C15 siligraphene due to de-wrinkling of its rippled configuration.
Antimicrobial dichloroisocyanurate-salts for controlled release of chlorine
Authors: Guruprasad Reddy Pulikanti , Hu Tan , Reches Meital , Domb Abraham J.
Published: June 2023

A range of antimicrobial DCC-metal complex/TBA salts was developed as a complement to Na-DCC for controlled chlorine release. The antimicrobial properties of DCC-salts were studied in comparision to Na-DCC.
Synthesis of non-anomeric C-glycosyl pyrazolidinone derivatives via visible-light photoredox catalysis
Authors: Gonçalves Renan. O. , Oliveira Pedro H. R. , de Jesus Iva S. , Debia Natalí P. , Lüdtke Diogo S. , Paixão Márcio W.
Published: June 2023

An operationally simple, metal-free, photocatalytic approach for the glycosylation of azomethine imines using 4-glycosyl-1,4-dihydropyridines (DHPs) as radical precursors is described.
Interface engineering of bifunctional oxygen electrocatalysts for rechargeable Zn–air batteries
Authors: Li Yunrui , Zhang Libo , Han Ying , Ji Wenxi , Liu Zhongyuan , Wang Baoshun , Zhao Siming , Wu Xueke , Zhang Longgui , Zhang Rufan
Published: June 2023

Interface engineering is important to develop the ORR/OER electrocatalysts toward Zn–air batteries. We summarized the recent atomic/micro-level interface regulation, aiming to provide guidance for the future design of ORR/OER electrocatalysts.
A fluorescence “turn-on” probe for the respective ratiometric detection of hypochlorite and cysteine
Authors: Wu Zhizhen , Cai Muzi , Lv Wenjuan , Lu Cancan , Wu Bingyan , Ren Cuiling , Dong Yalei , Chen Hongli , Chen Xingguo
Published: June 2023

Herein, a fluorescence “turn-on” probe for the respective ratiometric detection of hypochlorite and cysteine is developed.
Core–shell Fe3O4@CoFe2O4 nanoparticles as high-performance anode catalysts for enhanced oxygen evolution reaction
Authors: Royer Lisa , Makarchuk Iryna , Hettler Simon , Arenal Raul , Asset Tristan , Rotonnelli Benjamin , Bonnefont Antoine , Savinova Elena , Pichon Benoit P.
Published: June 2023

Core–shell transition metal oxide nanoparticles as efficent material for water electrolysis.
Engineering the HK97 virus-like particle as a nanoplatform for biotechnology applications
Authors: Woods Michael D. , Cali Matthew , Ceesay Bubacarr , Fancher Shandis , Ibrasheva Gaini , Kandeel Suefian , Nassar Manon , Azghani Ali , Bill Brent , Patterson Dustin P.
Published: June 2023

The research described here looks at the development of virus-like particles (VLPs) derived from bacteriophage HK97 as versatile scaffolds for bionanomaterials construction.
Fungal siderophore metabolism with a focus on Aspergillus fumigatus: impact on biotic interactions and potential translational applications
Authors: Happacher Isidor , Aguiar Mario , Yap Annie , Decristoforo Clemens , Haas Hubertus
Published: June 2023

Iron is an essential trace element that is limiting in most habitats including hosts for fungal pathogens. Siderophores are iron-chelators synthesized by most fungal species for high-affinity uptake and intracellular handling of iron. Moreover, virtually all fungal species including those lacking siderophore biosynthesis appear to be able to utilize siderophores produced by other species. Siderophore biosynthesis has been shown to be crucial for virulence of several fungal pathogens infecting animals and plants revealing induction of this iron acquisition system during virulence, which offers translational potential of this fungal-specific system. The present article summarizes the current knowledge on the fungal siderophore system with a focus on Aspergillus fumigatus and its potential translational application including noninvasive diagnosis of fungal infections via urine samples, imaging of fungal infections via labeling of siderophores with radionuclides such as Gallium-68 for detection with positron emission tomography, conjugation of siderophores with fluorescent probes, and development of novel antifungal strategies.
CO2 as the main parent source of atomic oxygen in comet C/2017 K2 (Pan-STARRS)
Authors: Cambianica P. , Munaretto G. , Cremonese G. , Podio L. , Codella C. , Boschin W.
Published: June 2023

C/2017 K2 (Pan-STARRS) is an Oort cloud comet discovered in May 2017. Ground observations have revealed that this long-period comet was active at heliocentric distance of 35 au. At such a distance, activity cannot be driven by the sublimation or the exothermic crystallization of water ice. We assume that the activity of comet C/2017 K2 may be driven by the sublimation of super-volatile ices such as CO and CO2. The nature of parent molecules driving the unprecedented activity of comet C/2017 K2 can be investigated by analyzing its spectrum. In particular, the analysis of atomic oxygen emission lines and the calculation of the green (5577.339 Å) to red (6300.304 and 6363.776 Å) line intensity ratio (hereafter G/R) can reveal the nature of molecules driving cometary activity. We report on the detection of atomic oxygen lines in the spectra of comet C/2017 K2 (Pan-STARRS) from high-resolution spectra obtained at the Telescopio Nazionale Galileo (TNG) on 24 June and 2 July 2022 using the High Accuracy Radial velocity Planet Searcher North (HARPS-N) echelle spectrograph. We found G/R ratios equal to 0.29±0.02 (24 July 2022) and 0.27±0.01 (2 July 2022), which are consistent with a cometary activity driven by CO2, even if located at 2.8 au from the Sun. To better define the nature of the driving molecule, we measured the width of the three oxygen lines and found that the green line in the spectrum of 24 July 2022 is wider than either of the two red lines. This allows us to argue that CO2 is dissociated by highly energetic solar photons that produce O(1S) with a large excess velocity.
PENELLOPE
Authors: Gangi M. , Nisini B. , Manara C. F. , France K. , Antoniucci S. , Biazzo K. , Giannini T. , Herczeg G. J. , Alcalá J. M. , Frasca A. , Maucó K. , Campbell-White J. , Siwak M. , Venuti L. , Schneider P. C. , Kóspál Á. , Caratti o Garatti A. , Fiorellino E. , Rigliaco E. , Yadav R. K.
Published: June 2023

Context. Observing the spatial distribution and excitation processes of atomic and molecular gas in the inner regions (<20 au) of young (<10 Myr) protoplanetary disks helps us to understand the conditions for the formation and evolution of planetary systems.

Aims. In the framework of the PENELLOPE and ULLYSES projects, we aim to characterize the atomic and molecular component of protoplanetary disks in a sample of 11 classical T Tauri stars of the Orion OB1 and σ-Orionis associations.

Methods. We analyzed the flux-calibrated optical forbidden lines and the fluorescent ultraviolet H2 progressions using spectra acquired with ESPRESSO at VLT, UVES at VLT, and HST-COS. Line morphologies were characterized through Gaussian decomposition. We then focused on the properties of the narrow low-velocity (full width half maximum <40 km s−1 and |υp| < 30 km s−1) component (NLVC) of the [O I] 630 nm line and compared them with those of the UV-H2 lines.

Results. We found that the [O I]630 NLVC and the UV-H2 lines are strongly correlated in terms of peak velocities, full width at half maximum values, and luminosity. Assuming that the line width is dominated by Keplerian broadening, the [O I]630 NLVC originates from a disk region between 0.5 and 3.5 au, while that of UV-H2 originates in a region from 0.05 to 1 au. The luminosities of [O I]630 NLVC and UV-H2 correlate with an accretion luminosity with a similar slope, as well as with the luminosity of the C IV154.8, 155 nm doublet. We discuss such correlations in the framework of the currently suggested excitation processes for the [O I]630 NLVC.

Conclusions. Our results can be interpreted in a scenario in which the [O I]630 NLVC and UV-H2 have a common disk origin with a partially overlapped radial extension. We also suggest that the excitation of the [O I] NLVC is mainly induced by stellar far-ultraviolet continuum photons, than being of mostly thermal origin. This study demonstrates the potential of contemporaneous wide-band highresolution spectroscopy in linking different tracers of protoplanetary disks.
Brass player’s mask parameters obtained by inverse method
Authors: Maugeais Sylvain , Gilbert Joël
Published: June 2023

An optimization method is proposed to find mask parameters of a brass player coming from a one degree of freedom lip model, with only constant mouth pressure and periodic mouthpiece pressure as input data, and a cost function relying on the waveform and the frequency of the signal. It delivers a set of parameters called 𝒞-admissible, which is a subset of all mask parameters that allow the inverse problem to be well defined up to an acceptable precision. Values for the mask parameters are found that give a good aproximation of real signals, with an error on the playing frequency of less than 5 cents for some notes. The evolution of the mask parameters is assessed during recordings with real musicians playing bend notes and their effects on the playing frequency are compared to the theoretical change on a model.
Application of Machine Learning in Digital Human Resource Management
Authors: Cui Jiayi , Gu Yang
Published: June 2023

In today's high-speed information age, many problems of the traditional human resource management (HRM) system make it impossible to effectively analyze massive data in today's enterprise competition and development. Machine learning, as a novel field of research in computer science in recent decades, provides a potential solution to the current problems faced by HRM systems. This study focuses on strategic HRM, an essential means of shaping employee behavior, and a vital information transmission channel in the CEO's transformational leadership behavior. By reviewing past literature on machine learning and exploring the principles of the practical application of machine learning in HRM, this paper also focuses on the intermediary mechanism between enterprise performance and the latest progress in machine learning and HRM. Further, the study tries to summarize and refine the opportunities and challenges that HRM faces in developing HRM and possible future research directions and hotspots.
Analyzing congestion surplus distribution based on social welfare optimization
Authors: Yingjing He , Qiaofeng Wu , Shujun Zhang , Yinjie Xie , Ze Ye , Wen Wei
Published: June 2023

The distribution of congestion surplus affects not only the short-term economic interests of stakeholders in the power spot market, but the improvement of social welfare in the long run. At present, the congestion surplus in mature electricity spot markets of developed countries is usually returned to the power users or power generation enterprises according to established proportions. Although this method helps achieve rational distribution of congestion surplus, it does not offer a solution to the congestion problem and cannot achieve maximized social welfare. In light of the principles of welfare economics, we propose in this paper injecting the congestion surplus into the capital pool of the power grid as a transmission line expansion fund to fundamentally solve the power transmission congestion problem. Modeling results and case studies presented in our work verified that our proposed distribution model could achieve Pareto optimization. Finally, combining the power transmission and distribution (PTD) pricing and supervision method, this paper puts forward the method for use and supervision of congestion surplus on the power spot market to reach optimal allocation of resources.
Data Security Threats of Log Aggregation
Authors: Liu Ruiyang
Published: June 2023

The development of cloud computing and distributed technologies has shifted log management operations to an aggregated form. Diverse information devices as well as information systems perform data collection and status analysis through a unified log aggregation management system. However, with the increasingly diverse business forms, the threats confronted by log aggregation systems are also mounting, among which data leakage, data tampering, data loss, and security vulnerabilities dominate the main positions. Data leakage imposes a severe challenge to the data privacy of enterprises and users, data tampering misleads the information system of enterprises and even adversely affects the decision-making of enterprises, data loss devastates the past data of enterprises and impinges on the operation of enterprises, and security vulnerabilities inflict potential safety hazards to the information systems accessed to log aggregation.
Analysis and research of digital economy based on the background of big data
Authors: Yuan Zequn
Published: June 2023

At present, there are two main approaches to measure the development level of digital economy at home and abroad: one is the direct method, which directly estimates the scale of digital economy in a region according to the defined measurement range; the other is to establish an evaluation index system of digital economy, which measures the development level of digital economy from multiple dimensions and calculates the comprehensive score of digital economy development level according to the weighted sum of each dimension. This paper adopts the second method to construct the evaluation index system of digital economy based on the connotation of digital economy from five dimensions to objectively reflect the development level of digital economy in each province. This paper builds on deep learning big data to study and analyze the digital economy, making a breakthrough in a new research area.
The Prediction of the exchange rate between the us dollar and rmb through liner regression and arima model
Authors: Wang Jinyi
Published: June 2023

The exchange rate between the US dollar and the RMB has been changing over the past year. Through the analysis of daily changing data, the direct calculation of linear regression will lead to the overall upward trend of the data, but not the rise and fall of the exchange rate. Therefore, it is necessary to introduce a more accurate ARIMA model to predict the possible development and change of data in a short period of time and analyze what policy causes the sharp fluctuations of data in a short period of time. In the process of applying the ARIMA model, this paper analyzed the shortcomings of ordinary linear regression and therefore proposed how to select the appropriate model for different data processing. The research results of this article provide more beginners in statistics with ideas for solving problems: prediction problems that cannot be solved by simple linear regression and existing elementary models can be analyzed using certain time series models, and reasonable explanations for data changes can be given based on existing policy reasons, Including irresistible inflation and the United States' own adjustment to the Federal Reserve's interest rate hike.
An Evolutionary Game Model for Quality Control of Agricultural Supermarket Matched Supply Chain with Government Participation
Authors: Li Yinuo , Dong Wanyi , Guo Zhida
Published: June 2023

Based on the basic problems such as the motivation of the quality and safety management and control of the agricultural supermarket docking supply chain, this paper studies the game behavior of the three parties involved in the agricultural professional cooperatives, large chain supermarkets and government regulatory departments in the agricultural supermarket docking supply chain under the influence of government participation. To build a three-party evolutionary game model for the quality and safety management and control of agricultural supermarket docking supply chain with the participation of the government, the goal is to find a stable strategy for the game parties to maintain cooperation, so as to ensure the safety of agricultural supermarket docking supply chains.
Research on Chongqing Logistics Industry and Economic Development Policy Based on System Dynamics
Authors: He Kailun , He Yilei
Published: June 2023

In this paper, the system dynamics model of Chongqing logistics industry and economy is established to explore the interaction mechanism between Chongqing logistics industry and economy, and the data are selected from Chongqing Statistical Yearbook to simulate the logistics fixed asset investment and education investment policy. The results show that the logistics industry policy has obviously promoting effect on economic growth and logistics efficiency. Increasing the investment of logistics fixed assets and education will help to promote the balance of logistics supply and demand in Chongqing city.
Research on the influence of alliance portfolio network characteristics on enterprise innovation performance: Based on the empirical analysis of automobile manufacturing industry
Authors: Zhang Xiao-yue , Ji Meng-meng
Published: June 2023

This paper selects the formal standard formulation information of Chinese listed automobile manufacturing enterprises, uses the standard co-drafting unit to construct the technical standard alliance network, and uses negative binomial regression to discuss the influence of network characteristic indicators of alliance combination on enterprise innovation performance. The results show that alliance portfolio scale, alliance portfolio diversity and alliance relationship strength all have a positive impact on enterprise innovation performance, which has important reference value for enterprises to better create and manage standard alliances.