bluuebunny/crossref_metadata_2025_split huggingface dataset:
Registration of ‘USDA Diamondback’ slow‐darkening pinto bean
Authors: Miklas Phillip N. , Soler‐Garzón Alvaro , Pastor‐Corrales Marcial , Cichy Karen A. 
Published: January 2024

AbstractThe pinto bean (Phaseolus vulgaris L.) cultivar ‘USDA Diamondback’ (Reg. no. CV‐353, PI 698822) was released by the USDA‐ARS in 2022 as a high‐yielding cultivar with an upright architecture and the slow‐darkening seed coat trait. It was bred for tolerance to multiple abiotic stresses in a “purgatory” plot purposely managed to have compacted soil, low soil fertility, and intermittent drought conditions. Conversely, selection for high yield potential was conducted in non‐stress trials with tillage, irrigations, and fertilizers applied for optimal production. USDA Diamondback exhibits wide adaption to production regions across the United States, as evidenced by an average seed yield of 3808 kg ha−1 across 14 location‐years in the Cooperative Dry Bean Nursery. Virus testing and resistance gene–linked markers indicate USDA Diamondback has a three‐gene combination (bc‐ud, bc‐1, and bc‐3) that confers durable resistance to all known strains of Bean common mosaic virus and Bean common mosaic necrosis virus. A similar combination of pathogen and marker testing indicated that USDA Diamondback possesses the Ur‐3 and Ur‐6 genes for resistance to bean rust. The seed size, appearance, and canning quality characteristics of USDA Diamondback meets the industry standards for packaging and processing.
Registration of sugar beet genetic stocks FC308 and FC309
Authors: Todd Olivia E. , Nielson Amy L. , Fenwick Ann , Hanson Linda E. , Richardson Kelley L. , Dorn Kevin M. 
Published: January 2024

AbstractSugar beet (Beta vulgaris L.) genetic stock lines FC308 (Reg. no. GS‐14, PI 701378) and FC309 (Reg. no. GS‐13, PI 700990) are two highly homozygous and phenotypically homogenous sources of resistance to two separate sugar beet pests. FC308 is resistant to sugar beet cyst nematode (SBCN) but is susceptible to Fusarium yellows (FY), whereas FC309 is FY resistant but SBCN susceptible. These two populations were developed by the USDA‐ARS in Fort Collins, CO, derived from unreleased USDA‐ARS Salinas germplasm lines 7927‐4‐308 and 7927‐4‐309. Multiple field and greenhouse trials for FY and nematode resistance confirmed the homogeneous phenotypic responses of both lines for each disease. To enable molecular breeders to rapidly screen proprietary markers in silico on these lines, gene space assemblies for individual plants from each line were also developed and are being released alongside these genetic stocks. Genome sequencing of individual plants from each line, as well as pooled sequencing of sub‐populations of both lines, indicated fixation of a previously reported genetic variant linked to SBCN resistance in FC308. However, two previously reported variants linked to Fusarium resistance appear to be unlinked to the resistance found in FC309. Collectively, these two new sugar beet genetic stock lines should prove useful as sources of resistance to FY and SBCN, as model genetic backgrounds for studying plant–pathogen interactions, and for mapping the causal resistance genes present in these lines.
Proteome profile of the cerebellum from α7 nicotinic acetylcholine receptor deficient mice
Authors: Caban Karolina Magdalena , Seßenhausen Pia , Stöckl Jan Bernard , Popper Bastian , Mayerhofer Artur , Fröhlich Thomas 
Published: January 2024

AbstractThe alpha7 nicotinic acetylcholine receptor (α7 nAChR; CHRNA7) is expressed in the nervous system and in non‐neuronal tissues. Within the central nervous system, it is involved in various cognitive and sensory processes such as learning, attention, and memory. It is also expressed in the cerebellum, where its roles are; however, not as well understood as in the other brain regions. To investigate the consequences of absence of CHRNA7 on the cerebellum proteome, we performed a quantitative nano‐LC‐MS/MS analysis of samples from CHRNA7 knockout (KO) mice and corresponding wild type (WT) controls. Liver, an organ which does not express this receptor, was analyzed, in comparison. While the liver proteome remained relatively unaltered (three proteins more abundant in KOs), 90 more and 20 less abundant proteins were detected in the cerebellum proteome of the KO mice. The gene ontology analysis of the differentially abundant proteins indicates that the absence of CHRNA7 leads to alterations in the glutamatergic system and myelin sheath in the cerebellum. In conclusion, our dataset provides new insights in the role of CHRNA7 in the cerebellum, which may serve as a basis for future in depth‐investigations.
Antioxidant potential of chlorogenic acid in Age‐Related eye diseases
Authors: Tang Yu , Fang Chi , Shi Jian , Chen Huimei , Chen Xiong , Yao Xiaolei 
Published: January 2024

AbstractOxidative stress is an important mechanism of aging, and in turn, aging can also aggravate oxidative stress, which leads to a vicious cycle. In the process of the brain converting light into visual signals, the eye is stimulated by harmful blue‐light radiation directly. Thus, the eye is especially vulnerable to oxidative stress and becomes one of the organs most seriously involved during the aging process. Cataracts, age‐related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), and dry eye are inextricably linked to the aging process and oxidative stress. Chlorogenic acid (CGA) has been demonstrated to have antioxidant and anti‐inflammatory activities, and its validity has been established experimentally in numerous fields, including cardiovascular disease, metabolic disorders, cancers, and other chronic diseases. There has previously been evidence of CGA's therapeutic effect in the field of ophthalmopathy. Considering that many ophthalmic drugs lead to systemic side effects, CGA may act as a natural exogenous antioxidant for patients to take regularly, controlling their condition while minimizing side effects. In this paper, in vitro and in vivo studies of CGA in the treatment of age‐related eye diseases are reviewed, and the prospects of CGA's antioxidant application for the eye are discussed. The aim of this review is to summarize the relevant knowledge and provide theoretical support for future research.
Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage
Authors: Bin Abu Sofian Abu Danish Aiman , Lim Hooi Ren , Siti Halimatul Munawaroh Heli , Ma Zengling , Chew Kit Wayne , Show Pau Loke 
Published: January 2024

AbstractThis article evaluates the present global condition of solar and wind energy adoption and explores their benefits and limitations in meeting energy needs. It examines the historical and evolutionary growth of solar and wind energy, global trends in the usage of renewable energy, and upcoming technologies, including floating solar and vertical‐axis wind turbines. The importance of smart grid technology and energy storage alternatives for enhancing the effectiveness and dependability of renewable energy is explored. In addition, the role of Electric Vehicles (EVs) in a modern smart grid has been assessed. Furthermore, the economic benefits, and most recent technological developments of solar and wind energy and their environmental and social ramifications. The potential of solar and wind energy to meet the increasing global energy demand and the problems and opportunities facing the renewable energy industry have shown excellent promise. Machine learning applications for solar and wind energy generation are vital for sustainable energy production. Machine learning can help in design, optimization, cost reduction, and, most importantly, in improving the efficacy of solar and wind energy, including advancing energy storage. This assessment is a crucial resource for policymakers, industry leaders, and researchers who aim to make the world cleaner and more sustainable. Ultimately, this review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.
Exploring sustainable development within rural regions in Ghana: A rural web approach
Authors: Addai Godfred , Suh Jungho , Bardsley Douglas , Robinson Guy , Guodaar Lawrence 
Published: January 2024

AbstractSustainable development involves multi‐level, multi‐actor and multi‐faceted processes and interrelations for which, ideally, comprehensive theoretical frameworks are required to understand the nature, dynamics and heterogeneity of changes generating greater sustainability in rural areas. Studies have utilised the rural web framework to explain these processes and interactions, but its application is lacking in sub‐Saharan Africa. This study addresses the gap in the literature by using the framework to (1) explore sustainable development indicators and (2) evaluate their socioeconomic determinants based on a questionnaire survey with data collected from 600 rural households in Ghana. Additionally, formal interviews were conducted with 60 participants, comprising village leaders, not‐for‐profit organisations and officers from municipal assemblies. This research shows that endogeneity, novelty production, and sustainability indicators describe rural regions as agriculturally diversified economies. Several factors contribute significantly to agricultural diversification, including social relationships, social groups, market participation, and the presence of migrants. These findings have implications for achieving two of the United Nations' Sustainable Development Goals (SDGs), SDG 1 (zero poverty) and SDG 2 (zero hunger), as they highlight the benefits of social and economic linkages between rural and urban areas within the context of agricultural production, exchange of resources and the mitigation of accessibility barriers to resources. We suggest that policies seeking to increase agricultural diversification, food security and achieve sustainable rural development should strengthen social relationships and institutional structures, increase market opportunities, assist farmers with organic certifications and bridge the rural–urban development gap.
Donor‐Derived Engineered Microvessels for Cardiovascular Risk Stratification of Patients with Kidney Failure
Authors: Rathod Mitesh L. , Aw Wen Yih , Huang Stephanie , Lu Jingming , Doherty Elizabeth L. , Whithworth Chloe P. , Xi Gang , Roy‐Chaudhury Prabir , Polacheck William J. 
Published: January 2024

AbstractCardiovascular disease is the cause of death in ≈50% of hemodialysis patients. Accumulation of uremic solutes in systemic circulation is thought to be a key driver of the endothelial dysfunction that underlies elevated cardiovascular events. A challenge in understanding the mechanisms relating chronic kidney disease to cardiovascular disease is the lack of in vitro models that allow screening of the effects of the uremic environment on the endothelium. Here, a method is described for microfabrication of human blood vessels from donor cells and perfused with donor serum. The resulting donor‐derived microvessels are used to quantify vascular permeability, a hallmark of endothelial dysfunction, in response to serum spiked with pathophysiological levels of indoxyl sulfate, and in response to serum from patients with chronic kidney disease and from uremic pigs. The uremic environment has pronounced effects on microvascular integrity as demonstrated by irregular cell–cell junctions and increased permeability in comparison to cell culture media and healthy serum. Moreover, the engineered microvessels demonstrate an increase in sensitivity compared to traditional 2D assays. Thus, the devices and the methods presented here have the potential to be utilized to risk stratify and to direct personalized treatments for patients with chronic kidney disease.
Protective Topical Dual‐Sided Nanofibrous Hemostatic Dressing Using Mussel and Silk Proteins with Multifunctionality of Hemostasis and Anti‐Bacterial Infiltration
Authors: Lee Jaeyun , Kim Eunjin , Kim Ki‐Joo , Rhie Jong Won , Joo Kye Il , Cha Hyung Joon 
Published: January 2024

AbstractTopical hemostatic agents are preferred for application to sensitive bleeding sites because of their immediate locoregional effects with less tissue damage. However, the majority of commercial hemostatic agents fail to provide stable tissue adhesion to bleeding wounds or act as physical barriers against contaminants. Hence, it has become necessary to investigate biologically favorable materials that can be applied and left within the body post‐surgery. In this study, a dual‐sided nanofibrous dressing for topical hemostasis is electrospun using a combination of two protein materials: bioengineered mussel adhesive protein (MAP) and silk fibroin (SF). The wound‐adhesive inner layer is fabricated using dihydroxyphenylalanine (DOPA)‐containing MAP, which promotes blood clotting by aggregation of hemocytes and activation of platelets. The anti‐adhesive outer layer is composed of alcohol‐treated hydrophobic SF, which has excellent spinnability and mechanical strength for fabrication. Because both proteins are fully biodegradable in vivo and biocompatible, the dressing would be suitable to be left in the body. Through in vivo evaluation using a rat liver damage model, significantly reduced clotting time and blood loss are confirmed, successfully demonstrating that the proposed dual‐sided nanofibrous dressing has the right properties and characteristics as a topical hemostatic agent having dual functionality of hemostasis and physical protection.
Fused Functional Organic Material with the Alternating Conjugation of Quinone–Pyrazine as Cathode for Aqueous Zinc Ion Batteries
Authors: Wang Yao , Niu Suyan , Gong Shanshan , Ju Na , Jiang Tong , Wang Yiming , Zhang Xinyue , Sun Qi , Sun Hong‐bin 
Published: January 2024

AbstractOrganic cathode materials for aqueous rechargeable zinc batteries (ARZBs) are rapidly gaining prominence, while the exploration of compounds with affordable synthesis, satisfactory electrochemical performance, and understandable mechanisms still remains challenging. In this study, 6,8,15,17‐tetraaza‐heptacene‐5,7,9,14,16,18‐hexaone (TAHQ) as an easily synthesized organic cathode material with novel quinone/pyrazine alternately conjugated molecule structure is presented. This organic electrode exhibits good capacity with highly reversible redox reactions, and the influence of multi‐active structures on the Zn2+/H+ loading behavior is systematically investigated by ex situ spectroscopy, electrochemical tests, and computation. Both experimental and theoretical studies effectively address the Zn2+/H+ intercalation/deintercalation kinetics. Benefitting from the fused active functionalities, the assembled Zn//TAHQ battery displays a maximum discharge specific capacity of 254.3 mAh g−1 at 0.5 A g−1, and it maintains remarkable cycle performance with 71% capacity retention after 1000 cycles under 5 A g−1.
Data‐Driven Learning for Pronunciation: Perception and Production of Lexical Stress and Prominence in Academic English
Authors: Hirschi Kevin , Kang Okim 
Published: January 2024

AbstractIssues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data‐Driven Learning for Pronunciation (DDLfP) on lexical stress and prominence in the US academic context. 65 L2 English learners in North American universities completed a diagnostic and pretest with listening and speaking items before completing four online lessons and a posttest on academic words and formulas (i.e., multi‐word sequences). Experimental group participants (n = 40) practiced using an audio corpus of highly proficient L2 speakers while comparison group participants (n = 25) were given teacher‐created pronunciation materials. Logistic regression results indicated that the group who used the corpus significantly increased their recognition of prominence in academic formulas. In the spoken tasks, both groups improved in their lexical stress pronunciation, but only the DDLfP learners improved their production of prominence in academic formulas. Learners reported that they valued DDLfP efforts for pronunciation learning across contexts and speakers. Findings have implications for teachers of L2 pronunciation and support the use of corpora for language teaching and learning.
RETRACTED: Prognostic value and potential mechanism of cellular senescence and tumor microenvironment in hepatocellular carcinoma: Insights from bulk transcriptomics and single‐cell sequencing analysis
Authors: Qu Chang , Wu Qian , Lu Jiongdi , Li Fei 
Published: January 2024

AbstractThe high mortality rate and postoperative recurrence of hepatocellular carcinoma (HCC) contribute to the burden on society and healthcare. The prognostic value and underlying mechanisms of cellular senescence and tumor microenvironment (TME) in HCC remain unclear. Bulk transcriptomic data were obtained from 368 HCC samples in The Cancer Genome Atlas‐liver hepatocellular carcinoma cohort and 64 samples from the GSE116174 dataset. Single‐cell RNA sequencing (scRNA‐seq) data of HCC were obtained from the GSE149614 dataset, including 18 tumor samples from 10 patients. Prognosis‐related cellular senescence genes and immune cells were identified through univariate analysis. Least absolute shrinkage and selection operator regression analysis was performed to construct the CellAge score and TME score, both of which were identified as independent prognostic factors for HCC based on multivariate Cox analysis. The combined CellAge and TME scores showed improved prognostic stratification for HCC patients, as confirmed by multivariate Cox analysis (p < .001). The gene set enrichment analysis (GSEA) revealed enrichment of the extracellular matrix receptor interaction signaling pathway in the group with high CellAge scores and low TME scores, which exhibited a worse prognosis. Single‐cell sequencing results revealed higher expression activity of the cAMP response element modulator (CREM) extended transcription factor in HCC cells and most immune cells, indicating its involvement in TME remodeling. Finally, the tumor immune dysfunction and exclusion (TIDE) analysis demonstrated that the combined scores could predict the outcomes of immune therapy in patients with HCC. In conclusion, cellular senescence contributes to TME remodeling in HCC, and the developed CellAge and TME scores serve as independent prognostic factors and predictors of immune therapy in HCC.
Halogenated bisphenol A derivatives potently inhibit human and rat 11β‐hydroxysteroid dehydrogenase 1: Structure–activity relationship and molecular docking
Authors: Wang Hong , Sang Jianmin , Ji Zhongyao , Yu Yang , Wang Shaowei , Zhu Yang , Li Huitao , Wang Yiyan , Ge Ren‐shan 
Published: January 2024

AbstractChlorinated bisphenol A (BPA) derivatives are formed during chlorination process of drinking water, whereas bisphenol S (BPS) and brominated BPA and BPS (TBBPA and TBBPS) were synthesized for many industrial uses such as fire retardants. However, the effect of halogenated BPA and BPS derivatives on glucocorticoid metabolizing enzyme 11β‐hydroxysteroid dehydrogenase 1 (11β‐HSD1) remains unclear. The inhibitory effects of 6 BPA derivatives in the inhibition of human and rat 11β‐HSD1 were investigated. The potencies for inhibition on human 11β‐HSD1 were TBBPA (IC50, 3.87 μM) = monochloro BPA (MCBPA, 4.08 μM) = trichloro BPA (TrCBPA, 4.41 μM) > tetrachloro BPA (TCBPA, 9.75 μM) > TBBPS (>100 μM) = BPS (>100 μM), and those for rat 11β‐HSD1 were TrCBPA (IC50, 2.76 μM) = MCBPA (3.75 μM) > TBBPA (39.58 μM) > TCBPA = TBBPS = BPS. All these BPA derivatives are mixed/competitive inhibitors of both human and rat enzymes. Molecular docking studies predict that MCBPA, TrCBPA, TCBPA, and TBBPA all bind to the active site of human 11β‐HSD1, forming hydrogen bonds with catalytic residue Ser170 except TCBPA. Regression of the lowest binding energy with IC50 values revealed a significant inverse linear regression. In conclusion, halogenated BPA derivatives are mostly potent inhibitors of human and rat 11β‐HSD1, and there is structure‐dependent inhibition.
PANoptosis‐related signature in melanoma: Transcriptomic mapping and clinical prognostication
Authors: Xie Jiaheng , Zhang Pengpeng , Xu Xiaolong , Zhou Xinxin , Zhao Songyun , Zhang Min , Qi Min 
Published: January 2024

AbstractProgrammed cell death plays a pivotal role in maintaining tissue homeostasis, and recent advancements in cell biology have uncovered PANoptosis—a novel paradigm integrating pyroptosis, apoptosis, and necroptosis. This study investigates the implications of PANoptosis in melanoma, a formidable skin cancer known for its metastatic potential and resistance to conventional therapies. Leveraging bulk and single‐cell transcriptome analyses, machine learning modeling, and immune correlation assessments, we unveil the molecular intricacies of PANoptosis in melanoma. Single‐cell sequencing identifies diverse cell types involved in PANoptosis, while bulk transcriptome analysis reveals key gene sets correlated with PANoptosis. Machine learning algorithms construct a robust prognostic model, demonstrating consistent predictive power across diverse cohorts. Patients with different cohorts can be divided into high‐risk and low‐risk groups according to this PANoptosis score, with the high‐risk group having a significantly worse prognosis. Immune correlation analyses unveil a link between PANoptosis and immunotherapy response, with potential therapeutic implications. Mutation analysis and enrichment studies provide insights into the mutational landscape associated with PANoptosis. Finally, we used cell experiments to verify the expression and function of key gene PARVA, showing that PARVA was highly expressed in melanoma cell lines, and after PARVA is knocked down, cell invasion, migration, and colony formation ability were significantly decreased. This study advances our understanding of PANoptosis in melanoma, offering a comprehensive framework for targeted therapeutic interventions and personalized medicine strategies in combating this aggressive malignancy.
On exceptional QP-manifolds
Authors: Osten David 
Published: January 2024

Abstract
The connection between two recent descriptions of tensor hierarchies — namely, infinity-enhanced Leibniz algebroids, given by Bonezzi & Hohm and Lavau & Palmkvist, and the p-brane QP-manifolds constructed by Arvanitakis — is made precise. This is done by presenting a duality-covariant version of latter.The construction is based on the QP-manifold T⋆[n]T[1]M × ℋ[n], where M corresponds to the internal manifold of a supergravity compactification and ℋ[n] to a degree-shifted version of the infinity-enhanced Leibniz algebroid. Imposing that the canonical Q-structure on T⋆[n]T[1]M is the derivative operator on ℋ leads to a set of constraints. Solutions to these constraints correspond to $$ \frac{1}{2} $$

1
2

-BPS p-branes, suggesting that this is a new incarnation of a brane scan. Reduction w.r.t. to these constraints reproduces the known p-brane QP-manifolds. This is shown explicitly for the SL(3)×SL(2)- and SL(5)-theories.Furthermore, this setting is used to speculate about exceptional ‘extended spaces’ and QP-manifolds associated to Leibniz algebras. A proposal is made to realise differential graded manifolds associated to Leibniz algebras as non-Poisson subspaces (i.e. not Poisson reductions) of QP-manifolds similar to the above. Two examples for this proposal are discussed: generalised fluxes (including the dilaton flux) of O(d, d) and the 3-bracket flux for the SL(5)-theory.