bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating a Dual‐Ion Battery with an Antimony‐Carbon Composite Anode
Authors: Ramireddy Thrinathreddy , Wrogemann Jens Matthies , Haneke Lukas , Sultana Irin , Kremer Felipe , Ian Chen Ying , Winter Martin , Placke Tobias , Glushenkov Alexey M. 
Published: August 2023

AbstractDual‐ion batteries (DIBs) are attracting attention due to their high operating voltage and promise in stationary energy storage applications. Among various anode materials, elements that alloy and dealloy with lithium are assumed to be prospective in bringing higher capacities and increasing the energy density of DIBs. In this work, antimony in the form of a composite with carbon (Sb−C) is evaluated as an anode material for DIB full cells for the first time. The behaviour of graphite||Sb−C cells is assessed in highly concentrated electrolytes in the absence and presence of an electrolyte additive (1 % vinylene carbonate) and in two cell voltage windows (2–4.5 V and 2–4.8 V). Sb−C full cells possess maximum estimated specific energies of 290 Wh/kg (based on electrode masses) and 154 Wh/kg (based on the combined mass of electrodes and active salt). The work expands the knowledge on the operation of DIBs with non‐graphitic anodes.
Optimizing Renewable Ammonia Production for a Sustainable Fertilizer Supply Chain Transition
Authors: Palys Matthew J. , Daoutidis Prodromos 
Published: August 2023

AbstractLocal renewable ammonia production using electrolytic hydrogen is an emerging approach to alleviate emissions attributed to synthetic nitrogen fertilizer production while also insulating against fluctuations in fertilizer prices and mitigating transportation costs and emissions. However, replacing ammonia currently produced using fossil fuels will not be immediate. To this end, we develop a supply chain transition model, which first optimizes the design and hourly operation of new renewable ammonia facilities to minimize production costs and then optimizes the annual installation timing, production scale, and location of these new renewable facilities along with ammonia transportation to meet county resolution demands. The objective is to augment and eventually replace conventional ammonia market imports in an economically competitive manner. We performed a case study for Minnesota's ammonia supply chain and found that a full transition to in‐state renewable production by 2032 is optimal. This is incentivized by the U.S. federal government's clean hydrogen production credits. This transition results in 99 % reduction in carbon intensity along with stable supply costs below $475 per metric tonne. New renewable production facilities are an order of magnitude smaller than existing conventional plants. They use both wind and solar resources and operate dynamically to minimize expensive battery and hydrogen storage capacities.
Regulatory roles of Osteopontin in lung epithelial inflammation and epithelial‐telocyte interaction
Authors: Fu Huirong , Liu Xuanqi , Shi Lin , Wang Lingyan , Fang Hao , Wang Xiangdong , Song Dongli 
Published: August 2023

AbstractBackgroundLung epithelial cells play important roles in lung inflammation and injury, although mechanisms remain unclear. Osteopontin (OPN) has essential roles in epithelial damage and repair and in lung cancer biological behaviours. Telocyte (TC) is a type of interstitial cell that interacts with epithelial cells to alleviate acute inflammation and lung injury. The present studies aim at exploring potential mechanisms by which OPN regulates the epithelial origin lung inflammation and the interaction of epithelial cells with TCs in acute and chronic lung injury.MethodsThe lung disease specificity of OPN and epithelial inflammation were defined by bioinformatics. We evaluated the regulatory roles of OPN in OPN‐knockdown or over‐expressed bronchial epithelia (HBEs) challenged with cigarette smoke extracts (CSE) or in animals with genome OPN knockout (gKO) or lung conditional OPN knockout (cKO). Acute lung injury and chronic obstructive pulmonary disease (COPD) were induced by smoking or lipopolysaccharide (LPS). Effects of OPN on PI3K subunits and ERK were assessed using the inhibitors. Spatialization and distribution of OPN, OPN‐positive epithelial subtypes, and TCs were defined by spatial transcriptomics. The interaction between HBEs and TCs was assayed by the co‐culture system.ResultsLevels of OPN expression increased in smokers, smokers with COPD, and smokers with COPD and lung cancer, as compared with healthy nonsmokers. LPS and/or CSE induced over‐production of cytokines from HBEs, dependent upon the dysfunction of OPN. The severity of lung inflammation and injury was significantly lower in OPN‐gKO or OPN‐cKO mice. HBEs transferred with OPN enhanced the expression of phosphoinositide 3‐kinase (PI3K)CA/p110α, PIK3CB/p110β, PIK3CD/p110δ, PIK3CG/p110γ, PIK3R1, PIK3R2 or PIK3R3. Spatial locations of OPN and OPN‐positive epithelial subtypes showed the tight contact of airway epithelia and TCs. Epithelial OPN regulated the epithelial communication with TCs, and the down‐regulation of OPN induced more alterations in transcriptomic profiles than the up‐regulation.ConclusionOur data evidenced that OPN regulated lung epithelial inflammation, injury, and cell communication between epithelium and TCs in acute and chronic lung injury. The conditional control of lung epithelial OPN may be an alternative for preventing and treating epithelial‐origin lung inflammation and injury.
Nme2Cas9‐mediated therapeutic editing in inhibiting angiogenesis after wet age‐related macular degeneration onset
Authors: Hu Sihui , Chen Yuxi , Xie Dongchun , Xu Kan , Fu Yunzhao , Chi Wei , Liu Haiying , Huang Junjiu 
Published: August 2023

AbstractBackgroundAge‐related macular degeneration (AMD), particularly wet AMD characterised by choroidal neovascularization (CNV), is a leading cause of vision loss in the elderly. The hypoxia‐inducible factor‐1α (HIF‐1α)/vascular endothelial growth factor (VEGF)/VEGF receptor 2 (VEGFR2) pathway contributes to CNV pathogenesis. Previous gene editing research indicated that disrupting these genes in retinal pigment epithelial cells could have a preventive effect on CNV progression. However, no studies have yet been conducted using gene editing to disrupt VEGF signalling after CNV induction for therapeutic validation, which is critical to the clinical application of wet AMD gene editing therapies.MethodHere, we employed the single‐adeno‐associated virus‐mediated Nme2Cas9 to disrupt key molecules in VEGF signalling, Hif1α, Vegfa and Vegfr2 after inducing CNV and estimated their therapeutic effects.ResultsWe found that Nme2Cas9 made efficient editing in target genes up to 71.8% post 11 days in vivo. And only Nme2Cas9‐Vegfa treatment during the early stage of CNV development reduced the CNV lesion area by 49.5%, compared to the negative control, while Nme2Cas9‐Hif1α or Nme2Cas9‐Vegfr2 treatment did not show therapeutic effect. Besides, no off‐target effects were observed in Nme2Cas9‐mediated gene editing in vivo.ConclusionsThis study provides proof‐of‐concept possibility of employing Nme2Cas9 for potential anti‐angiogenesis therapy in wet AMD.
Validation of a 12‐color flow cytometry assay for acute myeloid leukemia minimal/measurable residual disease detection
Authors: Wang Sa A. , Jorgensen Jeffrey L. , Hu Shimin , Jia Fuli , Li Shaoying , Loghavi Sanam , Ok Chi Young , Thakral Beenu , Xu Jie , Medeiros L. Jeffrey , Wang Wei 
Published: August 2023

AbstractBackgroundAcute myeloid leukemia (AML) minimal/measurable residual disease (MRD) by multicolor flow cytometry is a complex laboratory developed test (LDT), challenging for implementation. We share our experience in the validation of a 12‐color AML MRD flow cytometry assay to meet stringent regulatory requirements.MethodsWe worked under the guidelines of the CLSI HL62 publication, illustrated the details of the validation process that was tailored to uniqueness of AML MRD, and tested its clinical validity in 61 patients. The “trueness” was determined by correlating with concurrent molecular genetic testing and follow‐up bone marrow examinations.ResultsUnder assay specificity, we shared the details of panel design, analysis, and criteria for interpretation and reporting. The assay accuracy was assessed by testing known positive and negative samples and correlating with molecular genetic testing and follow‐up bone marrow examination. The limit of detection (LOD) and limit of quantification (LOQ) were validated to a level between 0.01% and 0.1%, varied from the leukemia‐associated immunophenotypes (LAIP) and the numbers of events obtained for analysis. Assay linearity, precision and carry over studies all met acceptable criteria. In the clinical validity test, the concordance was 93%, specificity 98% and sensitivity 83%. The most challenging aspects of the assay were the discrimination of pre‐leukemic cells (persistent clonal hematopoiesis) or underlying myelodysplastic clones from AML MRD with immunophenotypic switch or subclone selection.ConclusionThe validation met all criteria and obtained FDA IDE (investigational device exemption) approval. This study provides ample technical and professional details in setting up the AML MRD flow cytometry assay and illustrates through the example of the “fit for purpose” validation process. We also highlight the need for further characterization of abnormal blasts bearing the potential for AML relapse.
Internet of Things‐based wireless sensor networks for monitoring access constraint security measures in liable data aggregation
Authors: Gunasekaran Amudha 
Published: August 2023

SummaryA wireless sensor network (WSN) is a network of autonomous, small sensors that can detect, collect, and send data about their surrounding environment. In the Internet of Things (IoT) infrastructure, WSNs are the smart devices that provide the platform with resource input. Security breaches and insider attacks are possible due to the WSN's resource‐constrained design. However, the IoT platform's intelligence may be extended to WSN nodes for managing device and data‐level security. This paper proposes Monitored Access Constraint Security (MACS) to ensure the privacy of data collected via the ubiquitous processing enabled by the Internet of Things. The IoT platform performs frequent checks on the quality of the interactions between the various nodes to ensure that they are functioning properly and that the sensor aggregation instances are accountable. Node liability is considered while adjusting the aggregate level and the continuity. The method guarantees secure information from the environment and the data sources. The quality of the data gathered in the suggested technique is evaluated based on node liability and information extraction feature. Accordingly, security measures are implemented at data gathering and filtering levels and then assessed using a recurrent learning process. Since there are fewer security breaches overall, the rate of aggregation increases. Aggregation loss, delay time, false rate, throughput, and verification time are used to evaluate the performance.
A modified damage and fracture phase field model considering heterogeneity for rock‐like materials
Authors: Chen Xuxin , Qin Zhe 
Published: August 2023

AbstractDamage and fracture are the most extensive failure modes of rock materials, which may easily induce disaster and instability of engineering structures. This study developed a nonlocal damage fracture phase field model for rocks considering the heterogeneity of rocks. The modified phase field model introduced the heterogeneity of fracture parameters and modified the governing equations. Meanwhile, the free energy was constructed by the elastic strain energy sphere‐bias decomposition and the plastic strain energy. As for the numerical implementation, the three layers finite elements method structure was used in the frame of the finite element method. The ability of the modified phase field model has been illustrated by reproducing the experiment results of rock samples with pre‐existing cracks under compression.
Back to the future: Progressing memory research in eating disorders
Authors: Forester Glen , Johnson Jeffrey S. , Reilly Erin E. , Lloyd E. Caitlin , Johnson Emily , Schaefer Lauren M. 
Published: August 2023

AbstractObjectiveHuman behaviors, thoughts, and emotions are guided by memories of the past. Thus, there can be little doubt that memory plays a fundamental role in the behaviors (e.g., binging), thoughts (e.g., body‐image concerns), and emotions (e.g., guilt) that characterize eating disorders (EDs). Although a growing body of research has begun to investigate the role of memory in EDs, this literature is limited in numerous ways and has yet to be integrated into an overarching framework.MethodsIn the present article, we provide an operational framework for characterizing different domains of memory, briefly review existing ED memory research within this framework, and highlight crucial gaps in the literature.ResultsWe distinguish between three domains of memory—episodic, procedural, and working—which differ based on functional attributes and underlying neural systems. Most recent ED memory research has focused on procedural memory broadly defined (e.g., reinforcement learning), and findings within all three memory domains are highly mixed. Further, few studies have attempted to assess these different domains simultaneously, though most behavior is achieved through coordination and competition between memory systems. We, therefore, offer recommendations for how to move ED research forward within each domain of memory and how to study the interactions between memory systems, using illustrative examples from other areas of basic and clinical research.DiscussionA stronger and more integrated understanding of the mechanisms that connect memory of past experiences to present ED behavior may yield more comprehensive theoretical models of EDs that guide novel treatment approaches.Public SignificanceMemories of previous eating‐related experiences may contribute to the onset and maintenance of eating disorders (EDs). However, research on the role of memory in EDs is limited, and distinct domains of ED memory research are rarely connected. We, therefore, offer a framework for organizing, progressing, and integrating ED memory research, to provide a better foundation for improving ED treatment and intervention going forward.
The Government eDNA Working Group 6th Annual eDNA Technical Exchange Workshop
Authors: Stepien Carol A. , Lance Richard F. , Klymus Katy E. , Hunter Margaret E. 
Published: August 2023

AbstractThe 6th annual Environmental DNA (eDNA) Technical Exchange Workshop was a virtual workshop hosted and coordinated by the Government eDNA Working Group (GEDWG) on January 24–26, 2023. GEDWG is a no‐cost consortium that focuses on bringing together stakeholders associated with federal, state, provincial, municipal, and other government and non‐government agencies interested in eDNA and related fields, for the purposes of sharing technical expertise and experience during monthly discussion meetings and annual workshops. Over 400 participants registered for the virtual Workshop, which featured four keynote speakers, 23 platform talks, eight short‐form poster presentations, and an extended discussion session. Workshop attendees represented a broad cross‐section of disciplines and backgrounds, including research scientists, natural resource managers, and conservation policy experts, and many different government agencies, private environmental consulting firms, trade organizations, non‐governmental organizations, and others in the environmental management sector. Key takeaways from the workshop included moving the application of eDNA into resource management and discovering ways to improve policy uptake in the development of nationwide biodiversity monitoring, some of which is happening in the development of eDNA networks and national strategies. Future research directions discussed include studies of fate and transport, autonomous sampling/sample processing, and reference library curation. Additionally, co‐design of studies and improved engagement and communication among scientists and managers are needed to ensure clear expectations and outcomes.
Effect of omega fatty acid‐rich oil blend supplementation on the growth, carcass, meat quality, and gene expression of Barbari goats
Authors: Verma Arun K. , Rajkumar V. , Kumar Ravindra , Gururaj K. , Singh Tarun Pal , Singh Manoj K. 
Published: August 2023

AbstractThis study investigated the effect of supplementing omega fatty acids‐rich oil blend, composed of sunflower oil (1.5% and 3.0%), linseed oil (1.5% and 3.0%), and FineXNV1810 (20 g) on the carcass, meat quality, fatty acid profile, and genes (peroxisome proliferator‐activated receptor‐α, stearoyl‐CoA desaturase, acetyl‐CoA carboxylase, hydroxy‐3‐methylglutaryl coenzyme A, and leptin) of Barbari goats. The goat kids (n = 18) were divided into three groups, namely, group A: basal diet; group B: basal diet + oil blend level 1; and group C: basal diet + oil blend level 2, and subjected to the feeding trial for 120 days followed by slaughter and meat quality studies. No treatment effect was recorded in carcass characteristics, pH, water holding capacity, and proximate composition of meat. However, a significant (p < 0.05) treatment effect was observed in cooking loss, lightness, yellowness, and shear force values of meat. There were significant differences (p < 0.05) in linoleic acid, α‐linolenic acids, conjugated linoleic acid (CLA), polyunsaturated fatty acids (PUFA), n − 3 and n − 6 PUFA, PUFA/saturated fatty acids and n − 6/n − 3 ratios, and thrombogenic index among groups. An upregulation of the studied genes in the supplemented groups was observed. There were upregulations in the studied genes in the supplemented groups.Practical applications: Goat meat is in great demand the world over, especially in tropical countries, including India, and does not carry any social or religious prohibition. Although goat meat has relatively less fat, consumers express their concern over the presence of undesirable fatty acids. The present study shows that the fatty acid configuration of goat meat can be improved by a dietary supplementation of an oil blend rich in omega fatty acids. The amount of n − 3 PUFA, n − 6 PUFA, and CLA in goat meat was significantly increased due to the dietary oil blend making it healthy for the consumers. Moreover, the dietary oil blend at the studied levels did not significantly affect the growth and meat quality parameters of the goats. Thus, the studied approach can be successfully followed to produce healthier goat meat.
Multicounty fuel constraint‐based dynamic economic dispatch problem using horse herd optimization
Authors: Jena Chitralekha , Basu Mousumi , Khan Baseem 
Published: August 2023

AbstractDue to the diminution of fossil fuels, the profitable usage of fuel for the generation of power is reducing. It is an extremely vital concern for power generation companies. The fossil fuel‐based power plant must operate within its fuel limits and contractual restrictions. Therefore, economic optimization is required to optimize the fuel cost for generation under fuel constraints. To address this issue, in this work, a horse herd optimization algorithm (HOA) is developed to solve multicounty fuel‐constrained dynamic economic dispatch with demand‐side management incorporating wind turbine generators, solar photovoltaic plants, and pumped hydro storage plants. The efficiency of the suggested HOA algorithm has been revealed on a selected test system. The HOA technique shows better convergence as compared with the other methods. Moreover, the computation time requirement of the HOA technique is also lower than that of other compared methods. From numerical results, it is observed that the consumption of fuel is sufficiently high if constraints are incorporated into the problem. Simulation results are matched up to those obtained from hierarchical particle swarm optimization with time‐varying acceleration coefficients, fast convergence evolutionary programming, and differential evolution. After comparison, it is observed that the recommended HOA offers a better‐quality solution.
Designing advanced S‐scheme CdS QDs/La‐Bi2WO6 photocatalysts for efficient degradation of RhB
Authors: Ning Jing , Zhang Bohang , Siqin Letu , Liu Gaihui , Wu Qiao , Xue Suqin , Shao Tingting , Zhang Fuchun , Zhang Weibin , Liu Xinghui 
Published: August 2023

AbstractFinding effective strategies to design efficient photocatalysts and decompose refractory organic compounds in wastewater is a challenging problem. Herein, by coupling element doping and constructing heterostructures, S‐scheme CdS QDs/La‐Bi2WO6 (CS/LBWO) photocatalysts are designed and synthesized by a simple hydrothermal method. As a result, the RhB degradation efficiency of the optimized 5% CS/LBWO reached 99% within 70 min of illumination with excellent stability and recyclability. CS/LBWO shows improvement in the adsorption range of visible light and promotes electron–hole pair generation/migration/separation, attributing the superior degradation performance. The degradation RhB mechanism is proposed by a free radical capture experiment, electron paramagnetic resonance, and high‐performance liquid chromatography‐mass spectrometry results, indicating that h+ and •O2– play a significant role during four degradation processes: de‐ethylation, chromophore cleavage, ring opening, and mineralization. Based on in situ irradiated X‐ray photoelectron spectroscopy, Mulliken electronegativity theory, and the work function results, the S‐scheme heterojunction of CS/LBWO promotes the transfer of photogenerated electron–hole pairs and promotes the generation of reactive radicals. This work not only reports that 5% CS/LBWO is a promising photocatalyst for degradation experiments but also provides an approach to design advanced photocatalysts by coupling element doping and constructing heterostructures.
Making space at the table: Engaging participation of people with dementia in community development
Authors: Phinney Alison , Macnaughton Eric , Wiersma Elaine , Sutherland Nisha , Marchese Carlina , Cochrane Diana , Monteiro Andrea 
Published: August 2023

AbstractObjectivesThe Building Capacity Project is an asset‐based community development initiative that aims to reduce stigma and promote social inclusion for people with dementia. Using a community‐based participatory approach, we conducted research to examine the relational patterns and participatory practices within and across project sites in two different regions of Canada (Vancouver and Thunder Bay).MethodsFive focus groups and five individual interviews were conducted with team members and community partners (n = 29) and analysed for themes.ResultsThe overarching theme of Making Space at the Table explains how the participation of people with dementia has served both as a value and a practice shaping the relational work throughout the project. Three sub‐themes include: Maintaining a common foundation; Creating communication pathways; and Fostering personal connections.ConclusionsTogether, these findings show how community development can support the meaningful participation of people with dementia in their communities through processes of collaboration that focus on individual and collective strengths, that allow time for the work to unfold, and for building relationships that foster trust and respect for diversity.