bluuebunny/crossref_metadata_2025 huggingface dataset:
Reconditioned monocytes are immunomodulatory and regulate inflammatory environment in sepsis
Authors: Jain Kshama , Mohan K. Varsha , Roy Gargi , Sinha Prakriti , Jayaraman Vignesh , Kiran  , Yadav Ajit Singh , Phasalkar Akshay , Deepanshu  , Pokhrel Anupa , Perumal Nagarajan , Sinha Nitin , Chaudhary Kiran , Upadhyay Pramod
Published: September 2023

Sepsis is caused by dysregulated immune response to severe infection and hyper inflammation plays a central role in worsening the disease. The immunomodulatory properties of mesenchymal stem cells (MSCs) have been evaluated as a therapeutic candidate for sepsis. Reconditioned monocytes (RM), generated from healthy human peripheral blood mononuclear cells (PBMCs) exhibit both macrophage and MSCs-like properties. RM were administered at different stages of sepsis in a mouse model. It reduced serum levels of IL6, MCP-1, IL-10, improved hypothermia, increased survival, and recovery from 0 to 66% when combined with antibiotics in the mouse model. The reduced human leucocyte antigen DR molecules expression on RM enables their co-culture with PBMCs of sepsis patients which resulted in reduced ROS production, and up-regulated TGF-β while down-regulating IL6, IL8, and IL-10 in-vitro. RM are potentially immunomodulatory, enhance survival in sepsis mouse model and modulate inflammatory behaviour of sepsis patient’s PBMCs.
Sex differences in major adverse cardiovascular and cerebrovascular event risk among central retinal artery occlusion patients
Authors: Chen Ting , Wang Yuedan , Li Xuejie , Feng Jiaqing , Yang Hongxia , Li Ying , Feng Hui , Xiao Xuan
Published: September 2023

To estimate the association between central retinal artery occlusion (CRAO) and major adverse cardiovascular and cerebrovascular events (MACCE), including their clinical characteristics, blood markers, and the contribution of CRAO to MACCE, as well as to assess any sex differences. This retrospective cohort study included continuous new-onset CRAO patients and 1:4 controls during the same period. Correlations of CRAO with the incidence of MACCE during follow-up and the sex-related differences were studied. One hundred and twenty-four CRAO patients and four hundred and ninety-six controls were enrolled. Neutrophil-to-lymphocyte ratio (NLR, P = 0.014) and high-sensitivity C-reactive protein (hs-CRP, P = 0.038) were tended to be higher in CRAO patients. After the follow-up period, 78 patients experienced MACCE. Multivariate Cox regression analysis showed that CRAO was a predictor of the occurrence of MACCE (HR 2.321, 95% CI 1.439–3.744, P = 0.001). Sex subgroups indicated that age, diabetes, current smoking, CRAO, NLR and hs-CRP increased the risk factor of MACCE in males (All P < 0.05) and CRAO, NLR, low-density lipoprotein cholesterol (LDL-C) and hs-CRP were independent influencing factors for females (All P < 0.05). New-onset CRAO significantly increases the probability of MACCE and is associated with a poor prognosis. The sex-related differences suggested that effective prevention of the occurrence of MACCE in high-risk patients requires that attention be given to individualized risk factors corresponding to sexes.
An AI-powered navigation framework to achieve an automated acquisition of cardiac ultrasound images
Authors: Soemantoro Raska , Kardos Attila , Tang Gilbert , Zhao Yifan
Published: September 2023

Echocardiography is an effective tool for diagnosing cardiovascular disease. However, numerous challenges affect its accessibility, including skill requirements, workforce shortage, and sonographer strain. We introduce a navigation framework for the automated acquisition of echocardiography images, consisting of 3 modules: perception, intelligence, and control. The perception module contains an ultrasound probe, a probe actuator, and a locator camera. Information from this module is sent to the intelligence module, which grades the quality of an ultrasound image for different echocardiography views. The window search algorithm in the control module governs the decision-making process in probe movement, finding the best location based on known probe traversal positions and image quality. We conducted a series of simulations using the HeartWorks simulator to assess the proposed framework. This study achieved an accuracy of 99% for the image quality model, 96% for the probe locator model, and 99% for the view classification model, trained on an 80/20 training and testing split. We found that the best search area corresponds with general guidelines: at the anatomical left of the sternum between the 2nd and 5th intercostal space. Additionally, the likelihood of successful acquisition is also driven by how long it stores past coordinates and how much it corrects itself. Results suggest that achieving an automated echocardiography system is feasible using the proposed framework. The long-term vision is of a widely accessible and accurate heart imaging capability within hospitals and community-based settings that enables timely diagnosis of early-stage heart disease.
Antibodies against malondialdehyde among 60-year-olds: prediction of cardiovascular disease
Authors: Samal Shailesh Kumar , Leander Karin , Vikström Max , Griesbaum Lena , de Faire Ulf , Frostegård Johan
Published: September 2023

Malondialdehyde (MDA) is generated in oxidized LDL. It forms covalent protein adducts, and is recognized by antibodies (anti-MDA). We previously studied IgM anti-MDA, and here we focus on IgG, IgG1 and IgG2 anti-MDA in predicting cardiovascular disease (CVD). We determined, by ELISA, anti-MDA in a 7-year follow-up of 60-year-old men and women from Stockholm County (2039 men, 2193 women). We identified 210 incident CVD cases (defined as new events of myocardial infarction (MI), and hospitalization for angina pectoris) and ischemic stroke, and 620 age- and sex-matched controls. IgG anti-MDA was not associated with CVD. Median values only differed significantly for IgG1 anti-MDA among men, with lower levels among cases than controls (p = 0.039). High IgG1 anti-MDA (above 75th percentile) was inversely associated with CVD risk after adjustment for smoking, body mass index, type 2 diabetes, hyperlipidemia, and hypertension, (OR and 95% CI: 0.59; 0.40–0.89). After stratification by sex, this association emerged in men (OR and 95% CI: 0.46; 0.27–0.77), but not in women. IgG2 anti-MDA were associated with protection in the whole group and among men though weaker than IgG1 anti-MDA. IgG2 anti-MDA above the 75th percentile was associated with an increased risk of MI/angina in women (OR and 95% CI: 2.57; (1.08–6.16)). IgG1 and less so IgG2 anti-MDA are protection markers for CVD and MI/angina in the whole group and among men. However, IgG2 anti-MDA was a risk marker for MI/angina among women. These findings could have implications for both prediction and therapy.
An inspired microenvironment of cell replicas to induce stem cells into keratocyte-like dendritic cells for corneal regeneration
Authors: Fallah Tafti Mahsa , Aghamollaei Hossein , Moosazadeh Moghaddam Mehrdad , Jadidi Khosrow , Faghihi Shahab
Published: September 2023

Corneal stromal disorders due to the loss of keratocytes can affect visual impairment and blindness. Corneal cell therapy is a promising therapeutic strategy for healing corneal tissue or even enhancing corneal function upon advanced disorders, however, the sources of corneal keratocytes are limited for clinical applications. Here, the capacity of cell-imprinted substrates fabricated by molding human keratocyte templates to induce differentiation of human adipose-derived stem cells (hADSCs) into keratocytes, is presented. Keratocytes are isolated from human corneal stroma and grown to transmit their ECM architecture and cell-like topographies to a PDMS substrate. The hADSCs are then seeded on cell-imprinted substrates and their differentiation to keratocytes in DMEM/F12 (with and without chemical factors) are evaluated by real-time PCR and immunocytochemistry. The mesenchymal stem cells grown on patterned substrates present gene and protein expression profiles similar to corneal keratocytes. In contrast, a negligible expression of myofibroblast marker in the hADSCs cultivated on the imprinted substrates, is observed. Microscopic analysis reveals dendritic morphology and ellipsoid nuclei similar to primary keratocytes. Overall, it is demonstrated that biomimetic imprinted substrates would be a sufficient driver to solely direct the stem cell fate toward target cells which is a significant achievement toward corneal regeneration.
Metabolomics profiling in predicting of post-herpetic neuralgia induced by varicella zoster
Authors: Lu Lina , Mei Lihong , Li Xushuo , Lin Yanhua , Wang Hongfeng , Yang Gao
Published: September 2023

To explore potential metabolomics biomarkers in predicting post-herpetic neuralgia (PHN) induced by herpes zoster (HZ). A total of 90 eligible patients were prospectively enrolled and assigned into an acute pain (ACP) group and a PHN group. Serum samples were collected before clinical intervention to perform metabolomics profiling analyses using gas chromatography mass spectrometry (GC–MS). Key metabolites were identified using partial least squares discriminant analysis (PLS-DA). A binary logistic regression was used to build a combined biomarker model to predict PHN from ACP. The discriminating efficiency of the combined biomarker model was investigated and validated by internal validation. Six metabolites were identified as the key metabolites related to PHN. All these metabolites (N-Acetyl-5-hydroxytryptaMine, glucose, dehydroascorbic acid, isopropyl-beta-d-thiogalactopyranoside, 1,5-anhydro-d-sorbitol, and glutamic acid) were found elevated in the PHN group. Pathway analyses showed that glucose-alanine cycle, tryptophan metabolism, tyrosine metabolism, lactose degradation, malate-aspartate shuttle were top five metabolic pathways evolved in PHN. The AUC was 0.85 (95% CI 0.76–0.93) for the combined biomarker model, and was 0.91 (95% CI 0.84–1.00) for the internal validation data set to predict PHN. Metabolomics analyses of key metabolites could be used to predict PHN induced by HZ.
High risk clear cell renal cell carcinoma microenvironments contain protumour immunophenotypes lacking specific immune checkpoints
Authors: Raghubar Arti M. , Matigian Nicholas A. , Crawford Joanna , Francis Leo , Ellis Robert , Healy Helen G. , Kassianos Andrew J. , Ng Monica S. Y. , Roberts Matthew J. , Wood Simon , Mallett Andrew J.
Published: September 2023

Perioperative immune checkpoint inhibitor (ICI) trials for intermediate high-risk clear cell renal cell carcinoma (ccRCC) have failed to consistently demonstrate improved patient outcomes. These unsuccessful ICI trials suggest that the tumour infiltrating immunophenotypes, termed here as the immune cell types, states and their spatial location within the tumour microenvironment (TME), were unfavourable for ICI treatment. Defining the tumour infiltrating immune cells may assist with the identification of predictive immunophenotypes within the TME that are favourable for ICI treatment. To define the immunophenotypes within the ccRCC TME, fresh para-tumour (pTME, n = 2), low-grade (LG, n = 4, G1-G2) and high-grade (HG, n = 4, G3-G4) tissue samples from six patients with ccRCC presenting at a tertiary referral hospital underwent spatial transcriptomics sequencing (ST-seq). Within the generated ST-seq datasets, immune cell types and states, termed here as exhausted/pro-tumour state or non-exhausted/anti-tumour state, were identified using multiple publicly available single-cell RNA and T-cell receptor sequencing datasets as references. HG TMEs revealed abundant exhausted/pro-tumour immune cells with no consistent increase in expression of PD-1, PD-L1 and CTLA4 checkpoints and angiogenic genes. Additional HG TME immunophenotype characteristics included: pro-tumour tissue-resident monocytes with consistently increased expression of HAVCR2 and LAG3 checkpoints; an exhausted CD8+ T cells sub-population with stem-like progenitor gene expression; and pro-tumour tumour-associated macrophages and monocytes within the recurrent TME with the expression of TREM2. Whilst limited by a modest sample size, this study represents the largest ST-seq dataset on human ccRCC. Our study reveals that high-risk ccRCC TMEs are infiltrated by exhausted/pro-tumour immunophenotypes lacking specific checkpoint gene expression confirming that HG ccRCC TME are immunogenic but not ICI favourable.
Discovery of l-threonine transaldolases for enhanced biosynthesis of beta-hydroxylated amino acids
Authors: Jones Michaela A. , Butler Neil D. , Anderson Shelby R. , Wirt Sean A. , Govil Ishika , Lyu Xinyi , Fang Yinzhi , Kunjapur Aditya M.
Published: September 2023

Beta-hydroxy non-standard amino acids (β-OH-nsAAs) have utility as small molecule drugs, precursors for beta-lactone antibiotics, and building blocks for polypeptides. While the L-threonine transaldolase (TTA), ObiH, is a promising enzyme for β-OH-nsAA biosynthesis, little is known about other natural TTA sequences. We ascertained the specificity of the TTA enzyme class more comprehensively by characterizing 12 candidate TTA gene products across a wide range (20-80%) of sequence identities. We found that addition of a solubility tag substantially enhanced the soluble protein expression level within this difficult-to-express enzyme family. Using an optimized coupled enzyme assay, we identified six TTAs, including one with less than 30% sequence identity to ObiH that exhibits broader substrate scope, two-fold higher L-Threonine (L-Thr) affinity, and five-fold faster initial reaction rates under conditions tested. We harnessed these TTAs for first-time bioproduction of β-OH-nsAAs with handles for bio-orthogonal conjugation from supplemented precursors during aerobic fermentation of engineered Escherichia coli, where we observed that higher affinity of the TTA for L-Thr increased titer. Overall, our work reveals an unexpectedly high level of sequence diversity and broad substrate specificity in an enzyme family whose members play key roles in the biosynthesis of therapeutic natural products that could benefit from chemical diversification.
Insights from multi-omics integration into seed germination of Taxus chinensis var mairei
Authors: Chen Lulu , Qin Liang , Zhang Yawen , Xu Hualei , Bu Yufen , Wu Ran , Liu Haiqiang , Hao Qichen , Hu Hao , Zhou Yijun , Feng Jinchao , Jing Yanping , Han Jun , Wang Xiaodong
Published: September 2023

The transition from deep dormancy to seed germination is essential for the life cycle of plants, but how this process occurs in the gymnosperm Chinese yew (Taxus chinensis var mairei), the natural source of the anticancer drug paclitaxel, remains unclear. Herein, we analyse the transcriptome, proteome, spatial metabolome, and spatial lipidome of the Chinese yew and present the multi-omics profiles of dormant and germinating seeds. Our results show that abscisic acid and gibberellic acid 12 homoeostasis is closely associated with gene transcription and protein translation, and the balance between these phytohormones thereby determines if seeds remain dormant or germinate. We find that an energy supply of carbohydrates from glycolysis and the TCA cycle feed into the pentose phosphate pathway during seed germination, and energy supplied from lipids are mainly derived from the lipolysis of triacylglycerols. Using mass spectrometry imaging, we demonstrate that the spatial distribution of plant hormones and phospholipids has a remarkable influence on embryo development. We also provide an atlas of the spatial distribution of paclitaxel C in Chinese yew seeds for the first time. The data from this study enable exploration of the germination mechanism of Chinese yew seeds across several omics levels.
A self-supervised deep learning method for data-efficient training in genomics
Authors: Gündüz Hüseyin Anil , Binder Martin , To Xiao-Yin , Mreches René , Bischl Bernd , McHardy Alice C. , Münch Philipp C. , Rezaei Mina
Published: September 2023

Deep learning in bioinformatics is often limited to problems where extensive amounts of labeled data are available for supervised classification. By exploiting unlabeled data, self-supervised learning techniques can improve the performance of machine learning models in the presence of limited labeled data. Although many self-supervised learning methods have been suggested before, they have failed to exploit the unique characteristics of genomic data. Therefore, we introduceSelf-GenomeNet, a self-supervised learning technique that is custom-tailored for genomic data.Self-GenomeNetleverages reverse-complement sequences and effectively learns short- and long-term dependencies by predicting targets of different lengths.Self-GenomeNetperforms better than other self-supervised methods in data-scarce genomic tasks and outperforms standard supervised training with ~10 times fewer labeled training data. Furthermore, the learned representations generalize well to new datasets and tasks. These findings suggest thatSelf-GenomeNetis well suited for large-scale, unlabeled genomic datasets and could substantially improve the performance of genomic models.
Molecular control of endurance training adaptation in male mouse skeletal muscle
Authors: Furrer Regula , Heim Barbara , Schmid Svenia , Dilbaz Sedat , Adak Volkan , Nordström Karl J. V. , Ritz Danilo , Steurer Stefan A. , Walter Jörn , Handschin Christoph
Published: September 2023

Skeletal muscle has an enormous plastic potential to adapt to various external and internal perturbations. Although morphological changes in endurance-trained muscles are well described, the molecular underpinnings of training adaptation are poorly understood. We therefore aimed to elucidate the molecular signature of muscles of trained male mice and unravel the training status-dependent responses to an acute bout of exercise. Our results reveal that, even though at baseline an unexpectedly low number of genes define the trained muscle, training status substantially affects the transcriptional response to an acute challenge, both quantitatively and qualitatively, in part associated with epigenetic modifications. Finally, transiently activated factors such as the peroxisome proliferator-activated receptor-γ coactivator 1α are indispensable for normal training adaptation. Together, these results provide a molecular framework of the temporal and training status-dependent exercise response that underpins muscle plasticity in training.
Impact of supplementary sensory feedback on the control and embodiment in human movement augmentation
Authors: Pinardi Mattia , Longo Matthew R. , Formica Domenico , Strbac Matija , Mehring Carsten , Burdet Etienne , Di Pino Giovanni
Published: September 2023

In human movement augmentation, the number of controlled degrees of freedom could be enhanced by the simultaneous and independent use of supernumerary robotic limbs (SRL) and natural ones. However, this poses several challenges, that could be mitigated by encoding and relaying the SRL status. Here, we review the impact of supplementary sensory feedback on the control and embodiment of SRLs. We classify the main feedback features and analyse how they improve control performance. We report the feasibility of pushing body representation beyond natural human morphology and suggest that gradual SRL embodiment could make multisensory incongruencies less disruptive. We also highlight shared computational bases between SRL motor control and embodiment and suggest contextualizing them within the same theoretical framework. Finally, we argue that a shift towards long term experimental paradigms is necessary for successfully integrating motor control and embodiment.
Superhydrophobic Coatings on Metallic Substrates II: Aluminium and Titanium Based
Authors: Wang Shuqi , Wang Yaming
Published: September 2023

Superhydrophobic coating is considered a practical method to endow functional characteristics to the surface of aluminium, titanium and their alloys, especially for anti-corrosion, self-cleaning, anti-icing and drag-reduction properties. However, fundamental challenges to the practical application of superhydrophobic coatings are attributed to the lack of mechanical robustness of the micro/nanoscale architecture and surface chemical durability. In this chapter, various fabrication approaches for developing superhydrophobic coatings on Al/Ti and their alloys and durability issues are reviewed. Finally, the challenges to improving the durability of superhydrophobic coatings on Al/Ti and their alloys are summarized, and their future development directions are considered.
CFD simulation of spatiotemporal distribution of residual chlorine in secondary water supply tanks
Authors: Hua Pei , Wang Zhenyu , Wang Hui , de Oliveira Keila Roberta Ferreira , Ying Guang-Guo
Published: September 2023

The mixing, transportation, and reaction of chlorine in a secondary water supply system were investigated by a computation fluid dynamics model coupling with reaction kinetics.
Ion-modulated interfacial fluorescence in droplet microfluidics using an ionophore-doped oil
Authors: Wang Renjie , Ghanbari Ghalehjoughi Nasrin , Wang Xuewei
Published: September 2023

The extraction of ions from aqueous microdroplets into oil segments exchanges dye molecules to oil–water interfaces to generate localized fluorescence.
Gd/hafnium oxide@gold@chitosan core–shell nanoparticles as a platform for multimodal theranostics in oncology research
Authors: Gupta Aastha , Singhmar Ritu , Sood Ankur , Bhardwaj Dimpy , Kumaran S. Senthil , Chaturvedi Shubhra , Agrawal Garima
Published: September 2023

Fabrication of a multimodal theranostic platform with capabilities of performing multiple actions together for cancer therapy.
Photogenerated donor–donor diazo compounds enable facile access to spirocyclopropanes
Authors: George Vincent , König Burkhard
Published: September 2023

Prompted by the increasing interest in strained hydrocarbons as potential drug candidates, we developed a simple and efficient photochemical protocol for (spiro)cyclopropanes from bench stable tosylhydrazones and electron poor olefins.
An immunoassay-like recognition mechanism-based lateral flow strategy for rapid microRNA analysis
Authors: Liu Jie , Shi Jingjing , Feng Qinya , Fan Wenjiao , Liu Chenghui
Published: September 2023

A rapid lateral flow assay is developed for dual-mode microRNA analysis based on a robust immunoassay-like recognition mechanism.
Spontaneous resolution of two chiral metal–organic frameworks through local geometric and lattice frustration effects
Authors: Windsor Hunter J. , Kepert Cameron J. , Macreadie Lauren K.
Published: September 2023

Two chiral metal–organic frameworks that are differentiated by their Cd-centred helical twists are prepared by spontaneous chiral resolution from rigid, aliphatic, and achiral precursors.
Rational design of MXene-based single atom catalysts for Na–Se batteries from sabatier principle
Authors: Wei Chunlei , Ge MengMeng , Fang Timing , Tang Xiao , Liu Xiaomin
Published: September 2023

Na–Se batteries have attracted great attention because of their high-energy density and low cost, though the shuttle effect of polyselenides and sluggish reaction dynamics still limit their practical applications.
Potential of nanostructured carbon materials for iodine detection in realistic environments revealed by first-principles calculations
Authors: Zhour Kazem , Daouli Ayoub , Postnikov Andrei , Hasnaoui Abdellatif , Badawi Michael
Published: September 2023

In the context of effective detection of iodine species (I2, CH3I) formed in nuclear power plants and nuclear fuel reprocessing facilities, we perform a comparative study of potential sensing performance of 8-Pmmn borophene, BC3, C3N, and BC6N.
Assembly of galvinoxyl doped in polymer–fullerene photovoltaic blends
Authors: Uvarov Mikhail N. , Kulik Leonid V. , Dzuba Sergei A.
Published: September 2023

Galvinoxyl (Gx) is a stable free radical used as a dopant in active layers of organic solar cells.
Controlled destabilization of caged circularized DNA oligonucleotides predicted by replica exchange molecular dynamics simulations
Authors: Hamerla Carsten , Mondal Padmabati , Hegger Rainer , Burghardt Irene
Published: September 2023

Replica exchange molecular dynamics (REMD) simulations are employed to compute melting temperatures of caged circularized DNA oligonucleotides, contributing to novel schemes for the tailored photocontrol of nucleic acids.
Developing efficient deep learning model for predicting copolymer properties
Authors: Himanshu  , Chakraborty Kaushik , Patra Tarak K.
Published: September 2023

We report data and topology selection methods for developing an efficient deep neural network (DNN) model that predicts sequenced-defined properties of polymers.
Quantum control of field-free molecular orientation
Authors: Hong Qian-Qian , Lian Zhen-Zhong , Shu Chuan-Cun , Henriksen Niels E.
Published: September 2023

This perspective offers valuable insights into the methods and techniques utilized to accomplish field-free molecular orientation. It also highlights the recent advancements in the precise control of molecular orientation at ultracold temperatures.
Enhanced CO adsorption on α-graphyne-supported and defective graphene-supported Cu19clusters and a modified induction energy model
Authors: Gao Delu , Liu Naigui , Wang Dunyou
Published: September 2023

A modified induction energy model to predict the CO adsorption energy enhancement on α-graphyne-supported and defective graphene-supported Cu19clusters.
Pd and Pt metal atoms as electron donors in σ-hole bonded complexes
Authors: Zierkiewicz Wiktor , Kizior Beata , Michalczyk Mariusz , Jezierska Aneta , Scheiner Steve
Published: September 2023

In the investigated complexes, the metal atom acts as a Lewis base, with the occupied dz2orbital serving as the source of charge transferred to the Lewis acid.
Kinetic studies on acidic wet chemical etching of silicon in binary and ternary mixtures of HF, HNO3 and H2SiF6
Authors: Rietig Anja , Acker Jörg
Published: September 2023

This article presents systematic studies of the reaction kinetics of Si etching in binary and ternary mixtures, leading to kinetic models of reaction- and diffusion-controlled etching and a unified functional model using water as a proxy variable.
Systematic study of ionic conduction in silver iodide/mesoporous alumina composites 1: effects of pore size and filling level
Authors: Fukui Yoko , Yoshida Yukihiro , Kitagawa Hiroshi , Jikihara Yohei
Published: September 2023

A systematic study of Ag+-ion conducting behavior in AgI-loaded mesoporous aluminas (MPAs) was conducted over the entire sub-10 nm region. The highest conductivity was found when AgI was loaded into MPA with 7.1 nm-pores (7.2 × 10−4 S cm−1 at 25 °C).
Anomalous behaviour of silver catalyst for soot oxidation explained: state of silver when operating and the influence of potassium ions
Authors: Iwanek (née Wilczkowska) Ewa M. , Kirk Donald. W. , Kaszkur Zbigniew
Published: September 2023

The paper shows two steps of CO2 formation in soot oxidation with Ag catalyst. The first is stoichiometric, the second is catalytic.
Impact of human serum albumin on CuII and ZnII complexation by ATSM (diacetyl-bis(N4-methylthiosemicarbazone)) and a water soluble analogue
Authors: Martínez-Camarena Álvaro , Sour Angélique , Faller Peter
Published: September 2023

Human serum albumin can be used for avoiding ATSM precipitation in water, and as a source of CuII.
Synergistic and non-synergistic impact of HAP-based nano fertilizer and PGPR for improved nutrient utilization and metabolite variation in hemp crops
Authors: Vadhel Agrataben , Kumar Anil , Bashir Sabreen , Malik Tabarak , Mohan Anand
Published: September 2023

Nanofertilizer prepared with urea-hydroxyapatite amalgamation along with PGPR promotes urea availability over longer period of plant growth and reduces wasteful urea expense in soil, curtailing environmental pollution.
Artificial intelligence system for enhanced automated 1,3-propanediol green biosynthesis
Authors: Huang Jiacheng , Li Chade-Deng , Zhao Haodong , Yu Meng , Zhang Aihui , Fang Baishan
Published: September 2023

An extraordinary artificial intelligence system, which consist of a sensor, predictor, controller, and automation system, for entirely automatic fed-batch fermentation of 1,3-propanediol is established.
Upcycling of plastic waste into carbon nanotubes as efficient battery additives
Authors: Nam Eonu , Park Gyori , Nam Ji Young , Park Sooryun , Jo Yoonjeong , Kim Jihun , Park Byung Gwan , Baek Kyungeun , Kang Seok Ju , Ra Ho Won , Park Youngsoo , Seo Myung Won , Lee Kyung Jin , An Kwangjin
Published: September 2023

Carbon nanotubes (CNTs) were produced from waste face mask and non-recyclable mixed plastic waste via pyrolysis-chemical vapor deposition (CVD).
Green and efficient synthesis of hierarchical porous carbon derived from MOF-235 for catalytic degradation of thiocyanate
Authors: Yang Yang , Li Binchuan , Fu Daxue , Chen Jianshe , Cui Shuang , He Xiaocai , Liu Kuiren , Wei Shicheng , Li Da , Han Qing
Published: September 2023

Thermal-assisted ball milling is a novel method for the green and efficient synthesis of MOF-235. MOF-235-derived porous carbon exhibits excellent catalytic performance in thiocyanate degradation by persulfate activation.
Analysis of PbBi eutectic after matrix separation by acid induced dispersive liquid–liquid microextraction followed by HR-CS-ETAAS determination
Authors: Madhavi K. , Venkateswarlu G. , Meeravali N. N. , Sahayam A. C.
Published: September 2023

Analysis of PbBi eutectic after separation of matrix elements by a simple acid-induced surfactant assisted dispersive liquid–liquid microextraction procedure is reported.
A new tissue-agnostic microfluidic device to model physiology and disease: the lattice platform
Authors: Campo Hannes , Zha Didi , Pattarawat Pawat , Colina Jose , Zhang Delong , Murphy Alina , Yoon Julia , Russo Angela , Rogers Hunter B. , Lee Hoi Chang , Zhang Jiyang , Trotter Katy , Wagner Sarah , Ingram Asia , Pavone Mary Ellen , Dunne Sara Fernandez , Boots Christina E. , Urbanek Margrit , Xiao Shuo , Burdette Joanna E. , Woodruff Teresa K. , Kim J. Julie
Published: September 2023

LATTICE is a first-of-its-kind micro- to millifluidic tissue-agnostic platform able to recreate para- and endocrine signaling in vitro.
Magnetofluid-integrated biosensors based on DNase-dead Cas12a for visual point-of-care testing of HIV-1 by an up and down chip
Authors: Huang Di , Zhao Yekai , Fang Mengjun , Shen Peijie , Xu Hu , He Yichen , Chen Shengfu , Si Zhenjun , Xu Zhinan
Published: September 2023

Magnetofluid-integrated biosensors based on DNase-dead Cas12a termed “up and down chip” was established for visual point-of-care testing of HIV-1.
Platinum nanoclusters made by gas-diffusion electrocrystallization (GDEx) as electrocatalysts for methanol oxidation
Authors: Martinez-Mora Omar , Leon-Fernandez Luis F. , Velimirovic Milica , Vanhaecke Frank , Tirez Kristof , Fransaer Jan , Dominguez-Benetton Xochitl
Published: September 2023

High-performance electrocatalysts is critical for enhancing the performance and commercial viability of direct methanol fuel cells (DMFCs), which hold the potential to transform the way we power portable electronics and off-grid systems.
P-type to N-type conversion of Fe-doped Cu2BaSnS4
Authors: Banu Peer Mohamed Sanjitha , Henry Johnson , Sivakumar Ganesan , Prabakar Kandasamy , Mohanraj Kannusamy
Published: September 2023

In this study, we report p-type to n-type conversion in Fe-doped Cu2BaSnS4 (CBTS), namely Cu2Ba(1−x)FexSnS4 (x = 0, 0.1,0.2,0.3) nanoparticles synthesized via a hydrothermal process.
Efficient lead sorption by ammonium phosphomolybdate: experimental and density functional theory (DFT) studies
Authors: Anjum Mohsin Ali Raza , Iqbal Sajid , Toba Zile , Javaid Saqib , Gulfam-ul-Haq  , Jamal Ahsan , Shafique Munib Ahmed , Ullah Muhammad Saif
Published: September 2023

Ammonium phosphomolybdate is a versatile inorganic compound and displays high adsorption capacity for large metal cations (e.g. Pb) due to its negatively charged cage-like structure with hollow cavities.
Single metal atoms supported on N-doped 2D M2C MXenes: an efficient electrocatalyst for overall water splitting
Authors: Li Mengyue , Cheng Yuwen , Li Yongtao
Published: September 2023

Three transition metal and nitrogen atom co-modification M2C MXenes can enhance the overall water splitting performances of bare M2C.
ZIF-L-derived autocatalytic growth of Fe, N co-doped carbon nanotubes to form a hierarchical porous structure as an efficient oxygen reduction and oxygen evolution catalyst for Zn–air batteries
Authors: Zhao Xiaoqi , Zhang Xue , Li Yingxiao , Liu Ling , Gao Yanfang
Published: September 2023

The hierarchical porous Fe–N–C catalyst with self-catalytic growth of carbon nanotube coated nanoparticles exhibited satisfactory electrocatalytic performances for the reactions in charge–dischargeable Zn–air batteries.
A regioselective, convergent, and additive-free approach for the synthesis of pyrido[1,4]oxazocines
Authors: Tian Kai-Qiang , Zhang Tongbo , Zhang Shi-Jiao , Zhao Jun , Mao Leilei , Duan Guiyun , Li Hong-Shuang
Published: September 2023

The synthesis of pyrido[1,4]oxazocines from 4-Cl- and 2-Cl-substituted 3-(oxiran-2-yl)pyridines and ethanolamines was developed under additive-free conditions in a regioselective and convergent manner.
Synthesis of chiral high-entropy sulfides for non-linear optical applications
Authors: Hewage Nethmi W. , Viswanathan Gayatri , Yox Philip , Wu Kui , Kovnir Kirill , Akopov Georgiy
Published: September 2023

Non-centrosymmetric semiconductors may exhibit non-linear optical (NLO) properties.
Phosphine-catalyzed asymmetric aza-Morita–Baylis–Hillman reaction of endocyclic ketimines and activated alkenes
Authors: Lu Yue , Zhu Fangfang , Liu Xinyu , Wang De
Published: September 2023

Asymmetric aza-Morita–Baylis–Hillman reaction involving endocyclic ketimines, tetra-substituted chiral carbon center was achieved.
Umpolung α-regioselective 1,3-dipolar cycloaddition and internal recycle of byproduct as two key strategies: access to diverse chiral bipyridines
Authors: Wang Yu-Heng , Wang Xi-Rui , Xu Ke-Lan , Chen Zi-Yue , Pan Bo-Wen , Peng Li-Jun , Zhou Ying , Liu Xiong-Li
Published: September 2023

Herein, the first example of umpolung α-regioselective 1,3-dipolar cycloaddition of optically pure perhydroindole-2-carboxylic acid 1a with pyridinecarboxaldehydes 2 is described.
Evaluation of the catalytic activity of Zn-MOF-74 for the alcoholysis of cyclohexene oxide
Authors: Flores J. Gabriel , Obeso Juan L. , Martínez-Jiménez V. , Martín-Guaregua Nancy , Islas-Jácome Alejandro , González-Zamora Eduardo , Serrano-Espejel Héctor , Mondragón-Rodríguez Britney , Leyva Carolina , Solís-Casados D. A. , Ibarra Ilich A. , Peralta Ricardo A. , Aguilar-Pliego Julia , Antonio de los Reyes José
Published: September 2023

In the present work, nanocrystalline Zn-MOF-74 is shown to be a heterogeneous catalyst for the acid-catalyzed ring-opening alcoholysis of cyclohexene oxide.
Electrical field and biaxial strain tunable electronic properties of the PtSe2/Hf2CO2 heterostructure
Authors: Xia Ruizhe , Peng Yi , Fang Li , Meng Xuan
Published: September 2023

Through first-principle calculations, the electronic properties of the PtSe2/Hf2CO2 van der Waals heterostructure can be modulated by electric fields and biaxial strain, showing its potential applications in various devices.
Application of amino-hypophosphite polyampholyte for purification of wastewater containing Ni(ii) ions
Authors: Ulatowska Justyna , Stala Łukasz , Trzęsowska Natasza , Polowczyk Izabela
Published: September 2023

This study investigated the sorption of Ni(ii) ions from an aqueous solution using novel, synthetic amino-hypophosphite polyampholyte resin (AHP) in a batch and dynamic systems from galvanic wastewater.
Optimizing oxygen vacancies and electrochemical performance of CeO2−δ nanosheets through the combination of di- and tri-valent doping
Authors: Xie Jun , Alomar Muneerah , Shah M. A. K. Yousaf , Arshad Muhammad Sultan , Mushtaq Naveed
Published: September 2023

Ceramic fuel cells presently hold an important position in the future of sustainable energy.
LearnCK: mass conserving neural network reduction of chemistry and species of microkinetic models
Authors: Kasiraju Sashank , Vlachos Dionisios G.
Published: September 2023

A Python-TensorFlow tool that learns chemical kinetics (LearnCK) for systematic and automatic reduction of microkinetic models using artificial neural networks (NNs).
Time-resolved enantiomer-exchange probed by using the orbital angular momentum of X-ray light
Authors: Jiang Xiang , Nam Yeonsig , Rouxel Jérémy R. , Yong Haiwang , Mukamel Shaul
Published: September 2023

The exchange of enantiomers in formamide is induced by an asymmetric excitation using circularly polarized light. This chiral process is detected using a spatial-structured X-ray beam carrying orbital angular momentum.
Some of the challenges faced by the Composites Industry in its bid to become more sustainable
Authors: Meegan Jonathan
Published: September 2023

The Composites Industry needs to participate in future circular chemical economies. Cooperation, standardisation and increased availability of transparent industry data for life cycle analysis, are seen as critical to a more sustainable future.
A CD326 monoclonal antibody modified core cross-linked curcumin-polyphosphoester prodrug for targeted delivery and cancer treatment
Authors: Li Haijiao , Zhang Mingzu , He Jinlin , Liu Jian , Sun Xingwei , Ni Peihong
Published: September 2023

A new type of nanodrug with curcumin derivatives as the crosslinker, which can maintain stability in blood circulation and actively target breast cancer tumors.
Accumulated Secretions and Associated Aerodigestive Function in Patients With Dysphagia
Authors: Hunting Alexandra , Steffanoni Belinda , Jacques Angela , Miles Anna
Published: September 2023

Purpose:

Accumulated pharyngo-laryngeal secretions are associated with dysphagia, aspiration, and poor health outcomes. Despite ongoing developments in the evaluation of pharyngo-laryngeal secretions, understanding of the underlying mechanisms is limited. Pathophysiology associated with accumulated secretions is needed to guide tailored, targeted treatment pathways. This study reports the prevalence of accumulated pharyngo-laryngeal secretions in a large acute care caseload and explores the relationship between secretions and aerodigestive function.

Method:

Consecutive inpatients (
N
= 222) referred for flexible endoscopic evaluation of swallow (FEES) with suspected dysphagia following assessment by a speech-language pathologist were recruited (43% neurological, 22% neurosurgical, 20% critical care, 15% other), and 250 standardized FEES were completed (222 first FEES, 28 repeat FEES). The assessment protocol included secretion assessment using the New Zealand Secretion Scale (NZSS), pharyngeal squeeze maneuver, laryngeal motor and sensory assessment, Penetration-Aspiration Scale, and Yale Pharyngeal Residue Severity Rating Scale. Urge-to-clear ratings were collected during endoscopy. Cough peak expiratory flow and swallow frequency measures were also collected, as well as clinical outcomes at time of discharge.

Results:

There was a high incidence of accumulated secretions, with 77% of inpatients having elevated NZSS (
Mdn
= 3, range: 0–7) and 37% with pooled laryngeal secretions. Accumulated secretions were associated with reduced swallow frequency, reduced laryngeal adductor reflex, impaired pharyngeal squeeze maneuver, and peak expiratory flow. NZSS scores also correlated with swallow measures (Penetration-Aspiration Scale and Yale Pharyngeal Residue Severity Rating Scale) and patient outcomes including diet recommendations at discharge and pneumonia during admission.

Conclusions:

This large study contributes to evidence associating both sensory and motor impairments with secretion accumulation and aspiration risk. Further exploration of the key physiological mechanisms contributing to accumulated secretions will serve as markers to provide proof of principle for targets for secretion management protocols.

Supplemental Material:

https://doi.org/10.23641/asha.24101667
5G supporting digital servitization in manufacturing: An exploratory survey
Authors: Cimini Chiara , Lagorio Alexandra , Pinto Roberto , Pezzotta Giuditta , Adrodegari Federico , Cavalieri Sergio
Published: September 2023

Digital servitization is a business model transformation process enabled by the use of digital technologies to create or improve industrial services and product‐service offerings by creating value and competitive advantage increasing customer satisfaction and loyalty as well as company revenue streams. 5G networks can enable digital servitization of manufacturing by providing faster, more secure, and more reliable communications between machines, devices, and humans. This paper explores the impact of adopting 5G technologies on servitization and identifies the services that can benefit most from 5G networks. The research consists of two parts: a literature review of the technologies currently used in the design and provision of industrial services that could benefit from 5G networks and an exploratory survey involving manufacturing companies that have started the digital servitization journey. The main results emerging from the research suggest that 5G can profoundly impact services supported by Augmented Reality, Cloud computing, and Cyber‐physical systems, mainly concerning maintenance, workforce training, machine diagnosis and monitoring.
Research on seamless image stitching based on fast marching method
Authors: Pan Weidong , Li Anhu , Wu Yusheng , Deng Zhaojun , Liu Xingsheng
Published: September 2023

Image stitching is an important way to achieve large‐field high‐resolution imaging. The inconsistencies in brightness and structure and defects in ghosting, blurring and misalignment between images, which are inevitable and difficult to eliminate, make a challenge to image stitching, due to the external lighting environment and changes in camera pose and parameters. Here, a novel method is proposed to search for the optimal seamline based on the fast marching method, which can stitch large parallax images with high quality. A feature weight map is first formed based on the similarity in colour, edge, texture and saliency of the images. Then it is used as the cost value of the seamline to search for the optimal seamline by fast marching method. The results show that this new method is more efficient to reduce defects, such as ghosting, misalignment and chromatic aberration, and realize high quality image stitching compared with traditional stitching tools and methods, which provides a new perspective for image stitching technology.
Three-dimensional relation between coronal dimming, filament eruption, and CME
Authors: Chikunova Galina , Podladchikova Tatiana , Dissauer Karin , Veronig Astrid M. , Dumbović Mateja , Temmer Manuela , Dickson Ewan C. M.
Published: September 2023

Context.Coronal dimmings are localized regions of reduced emission in the extreme-ultraviolet (EUV) and soft X-rays formed as a result of the expansion and mass loss by coronal mass ejections (CMEs) low in the corona. Distinct relations have been established between coronal dimmings (intensity, area, magnetic flux) and key characteristics of the associated CMEs (mass and speed) by combining coronal and coronagraphic observations from different viewpoints in the heliosphere.

Aims.We investigate the relation between the spatiotemporal evolution of the dimming region and both the dominant direction of the filament eruption and CME propagation for the 28 October 2021 X1.0 flare/CME event observed from multiple viewpoints in the heliosphere by Solar Orbiter, STEREO-A, SDO, and SOHO.

Methods.We present a method for estimating the dominant direction of the dimming development based on the evolution of the dimming area, taking into account the importance of correcting the dimming area estimation by calculating the surface area of a sphere for each pixel. To determine the propagation direction of the flux rope during early CME evolution, we performed 3D reconstructions of the white-light CME by graduated cylindrical shell modeling (GCS) and 3D tie-pointing of the eruptive filament.

Results.The dimming evolution starts with a radial expansion and later propagates more to the southeast. The orthogonal projections of the reconstructed height evolution of the prominent leg of the erupting filament onto the solar surface are located in the sector of the dominant dimming growth, while the orthogonal projections of the inner part of the GCS reconstruction align with the total dimming area. The filament reaches a maximum speed of ≈250 km s−1at a height of about ≈180 Mm before it can no longer be reliably followed in the EUV images. Its direction of motion is strongly inclined from the radial direction (64° to the east, 32° to the south). The 3D direction of the CME and the motion of the filament leg differ by 50°. This angle roughly aligns with the CME half-width obtained from the CME reconstruction, suggesting a relation between the reconstructed filament and the associated leg of the CME body.

Conclusions.The dominant propagation of the dimming growth reflects the direction of the erupting magnetic structure (filament) low in the solar atmosphere, though the filament evolution is not directly related to the direction of the global CME expansion. At the same time, the overall dimming morphology closely resembles the inner part of the CME reconstruction, validating the use of dimming observations to obtain insight into the CME direction.
Evolution of the Lyman-α-emitting fraction and UV properties of lensed star-forming galaxies in the range 2.9 < z < 6.7
Authors: Goovaerts I. , Pello R. , Thai T. T. , Tuan-Anh P. , Richard J. , Claeyssens A. , Carinos E. , de la Vieuville G. , Matthee J.
Published: September 2023

Context. Faint galaxies are theorised to have played a major role, perhaps the dominant role, in reionising the Universe. Their properties, as well as the Lyman-α emitter (LAE) fraction, XLAE, could provide useful insights into this epoch.

Aims. We used four clusters of galaxies from the Lensed Lyman-alpha MUSE Arcs Sample (LLAMAS) that also have deep HST photometry to select a population of intrinsically faint Lyman break galaxies (LBGs) and LAEs. We study the interrelation between these two populations, their properties, and the fraction of LBGs that display Lyman-α emission.

Methods. The use of lensing clusters allows us to access an intrinsically faint population of galaxies, the largest such sample collected for this purpose: 263 LAEs and 972 LBGs with redshifts between 2.9 and 6.7, Lyman-α luminosities in the range 39.5 ≲ log(LLyα)(erg s−1)≲42, and absolute UV magnitudes in the range −22 ≲ M1500 ≲ −12. In addition to matching LAEs and LBGs, we define an LAE+continuum sample for the LAEs that match with a continuum object that is not selected as an LBG. Additionally, with the use of MUSE integral field spectroscopy, we detect a population of LAEs completely undetected in the continuum.

Results. We find a redshift evolution of XLAE in line with literature results, with diminished values above z = 6. In line with past studies, we take this as signifying an increasingly neutral intervening intergalactic medium. When inspecting this redshift evolution with different limits on EWLyα and M1500, we find that the XLAE for the UV-brighter half of our sample is higher than the XLAE for the UV-fainter half, a difference that increases at higher redshifts. This is a surprising result and can be interpreted as the presence of a population of low Lyman-α equivalent width (EWLyα), UV-bright galaxies situated in reionised bubbles and overdensities. This result is especially interesting in the context of similar, UV-bright, low EWLyα objects recently detected during and around the epoch of reionisation. For intrinsically fainter objects, we confirm the previously observed trend of LAEs among LBGs as galaxies with high star formation rates and low dust content, as well as the trend of the strongest LAEs having, in general, fainter M1500 and steeper UV slopes.