bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rh(D) immune globulin administration in pregnancy: Retrospective audit of patient safety events followed by targeted educational intervention with Bayesian analysis
Authors: Hage Dima , Pyra Kim , McCudden Christopher , Padmore Ruth 
Published: March 2023

AbstractObjectivesTo examine local patient safety events related to the administration of anti‐Rh(D) immune globin (RhIG) during pregnancy, and to follow‐up with targeted educational intervention to improve knowledge of this process.BackgroundAdministration RhIG is established treatment for the prevention of haemolytic disease of the foetus and newborn (HDFN). However, patient safety events in relation to its correct use continue to occur.MethodsA retrospective audit of patient safety events related to RhIG administration during pregnancy was performed. Targeted educational intervention in the form of PowerPoint® presentation were given to nursing staff, laboratory staff and physicians and evaluated with pre‐ and post‐tests using multiple‐choice questions given immediately before and after the presentation.ResultsAn annual incidence of 0.24% of patient safety events related to the administration of RhIG during pregnancy was found. These events were mostly in the preanalytical phase, for example mislabelled samples or samples for D‐rosette/Kleihauer–Betke testing drawn from the baby, not the mother. Using Bayesian analysis, the probability of positive effect for the targeted educational intervention was 100% with a median improved score of 29%. This was compared with a control group using standard curriculum education intervention based on the current curriculum for nursing, laboratory and medical students which showed a median improved score of only 4.4%.ConclusionsAdministration of RhIG during pregnancy is a multistep process involving health care professionals of several disciplines providing opportunities to enhance the curriculum for nursing, laboratory and medical students and to ensure on‐going education.
Vaccine development for bacterial pathogens: Advances, challenges and prospects
Authors: Mba Ifeanyi Elibe , Sharndama Hyelnaya Cletus , Anyaegbunam Zikora Kizito Glory , Anekpo Chijioke Chinedu , Amadi Ben Chibuzo , Morumda Daji , Doowuese Yandev , Ihezuo Uchechi Justina , Chukwukelu Joseph Ukomadu , Okeke Onyekachi Philomena 
Published: March 2023

AbstractThe advent and use of antimicrobials have played a key role in treating potentially life‐threatening infectious diseases, improving health, and saving the lives of millions of people worldwide. However, the emergence of multidrug resistant (MDR) pathogens has been a significant health challenge that has compromised the ability to prevent and treat a wide range of infectious diseases that were once treatable. Vaccines offer potential as a promising alternative to fight against antimicrobial resistance (AMR) infectious diseases. Vaccine technologies include reverse vaccinology, structural biology methods, nucleic acid (DNA and mRNA) vaccines, generalised modules for membrane antigens, bioconjugates/glycoconjugates, nanomaterials and several other emerging technological advances that are offering a potential breakthrough in the development of efficient vaccines against pathogens. This review covers the opportunities and advancements in vaccine discovery and development targeting bacterial pathogens. We reflect on the impact of the already‐developed vaccines targeting bacterial pathogens and the potential of those currently under different stages of preclinical and clinical trials. More importantly, we critically and comprehensively analyse the challenges while highlighting the key indices for future vaccine prospects. Finally, the issues and concerns of AMR for low‐income countries (sub‐Saharan Africa) and the challenges with vaccine integration, discovery and development in this region are critically evaluated.
The state of mental health, burnout, mattering and perceived wellness culture in Doctorally prepared nursing faculty with implications for action
Authors: Melnyk Bernadette Mazurek , Strait Lee Ann , Beckett Cindy , Hsieh Andreanna Pavan , Messinger Jeffery , Masciola Randee 
Published: March 2023

AbstractBackgroundDepression, anxiety, and burnout are an epidemic in the nursing profession. Unlike nurses in clinical settings, little is known about the mental health of doctorally prepared nursing faculty in academic settings, especially when separated by degree type (Doctor of Philosophy in Nursing [PhD] vs. Doctor of Nursing Practice [DNP]) and clinical or tenure track.AimsThe study aims were to: (1) describe the current rate of depression, anxiety, and burnout in PhD and DNP‐prepared nursing faculty and tenure and clinical faculty across the United States; (2) determine if differences exist in mental health outcomes between PhD and DNP‐prepared faculty and tenure and clinical faculty; (3) explore whether wellness culture and mattering to the organization influence faculty mental health outcomes; and (4) gain insight into faculty's perceptions of their roles.MethodsAn online descriptive correlational survey design was used with doctorally prepared nursing faculty across the U.S. The survey was distributed to faculty by nursing deans and included: demographics; valid and reliable scales for depression, anxiety, and burnout; an assessment of wellness culture and mattering; and an open‐ended question. Descriptive statistics described mental health outcomes; Cohen's d was used to determine effect sizes between PhD and DNP faculty for the mental health outcomes; and Spearman's correlations tested associations among depression, anxiety, burnout, mattering, and workplace culture.ResultsPhD (n = 110) and DNP (n = 114) faculty completed the survey; 70.9% of PhD faculty and 35.1% of DNP faculty were tenure track. A small effect size (0.22) was found, with more PhDs (17.3%) screening positive for depression than DNPs (9.6%). No differences were observed between tenure and clinical track. Higher perceptions of mattering and workplace culture were associated with less depression, anxiety, and burnout. Identified contributions to mental health outcomes yielded five themes: lack of appreciation, role concerns, time for scholarship, burnout cultures, and faculty preparation for teaching.Linking Evidence to ActionUrgent action must be taken by college leaders to correct system issues contributing to suboptimal mental health in both faculty and students. Academic organizations need to build wellness cultures and provide infrastructures that offer evidence‐based interventions to support faculty well‐being.
A New Method to Develop Homogeneous and Heterogeneous Porous Micromodels Applicable to Enhanced Oil Recovery and Flow Visualization Experiments
Authors: Haque Najrul , Singh Anugrah , Saha Ujjwal K. 
Published: March 2023

AbstractIn this paper, a new method to fabricate micromodels having homogeneous and heterogeneous porous structures is reported to gain fundamental insight into the flow through porous media. The technique of microparticle image velocimetry (PIV) is used to map the pore-scale velocity field inside the micromodels. A thin perforated metal sheet composed of uniformly distributed circular holes is used as the master pattern, and the replica of the negative of this perforated sheet is transferred to a polydimethylsiloxane (PDMS) substrate using a method similar to the soft lithography. This method allows an efficient fabrication of micromodels having different porosity by adjusting and selecting the perforated sheets of different hole sizes. The prepared micromodels were tested for its applicability and reliability by carrying out the measurements of pore-scale velocity distribution using the micro-PIV technique. The experiments with micromodels with high porosity but different grain arrangements showed qualitative as well as quantitative differences in the velocity field. The pressure drop across the two ends of micromodel is also measured. The variation of pressure difference with the flowrate is found to be nonlinear with a significant effect on the patterns of micropillars. However, at low porosity, the variation of pressure difference with the flowrate is found linear and there is almost no influence of the micropillar patterns. The flow visualization measurements are also conducted with the dual porosity micromodels, and the flow patterns were examined by analyzing the velocity vector maps.
The reproducibility of remotely piloted aircraft systems to monitor seasonal variation in submerged seagrass and estuarine habitats
Authors: Prystay T.S. , Adams G. , Favaro B. , Gregory R.S. , Le Bris A. 
Published: March 2023

Seasonal variation in seagrass growth and senescence affects the provision of ecosystem services and restoration efforts, requiring seasonal monitoring. Remotely piloted aircraft systems (RPAS) enable frequent high-resolution surveys at full-meadow scales. However, the reproducibility of RPAS surveys is challenged by varying environmental conditions, which are common in temperate estuarine systems. We surveyed three eelgrass ( Zostera marina) meadows in Newfoundland, Canada, using an RPAS equipped with a three-color band (red, green, blue [RGB]) camera, to evaluate the seasonal reproducibility of RPAS surveys and assess the effects of flight altitude (30–115 m) on classification accuracy. Habitat percent cover was estimated using supervised image classification and compared to corresponding estimates from snorkel quadrat surveys. Our results revealed inconsistent misclassification due to environmental variability and low spectral separability between habitats. This rendered differentiating between model misclassification versus actual changes in seagrass cover infeasible. Conflicting estimates in seagrass and macroalgae percent cover compared to snorkel estimates could not be corrected by decreasing the RPAS altitude. Instead, higher altitude surveys may be worth the trade-off of lower image resolution to avoid environmental conditions shifting mid-survey. We conclude that RPAS surveys using RGB imagery alone may be insufficient to discriminate seasonal changes in estuarine subtidal vegetated habitats.
Identification and expression analysis of C2H2-zinc finger protein genes reveals their role in stress tolerance in Brassica napus
Authors: Kaur Kawalpreet , Megha Swati , Wang Zhengping , Kav Nat N.V. , Rahman Habibur 
Published: March 2023

C2H2-zinc finger (C2H2-ZF) genes are involved in various biological processes in plants including stress response; however, they lack characterization in Brassica napus. We identified 267 C2H2-ZF genes in B. napus and deciphered their physiological properties, subcellular localization, structure, synteny, and phylogeny and investigated the expression of 20 genes in response to different stresses and phytohormone treatments. The 267 genes were distributed on 19 chromosomes; phylogenetic analysis categorized them into five clades. They varied from 0.41 to 9.2 kb in length, had stress-responsive cis-acting elements in promoter regions, and their protein length varied from 9 to 1366 amino acids. About 42% of the genes had one exon, and 88% genes had orthologs in Arabidopsis thaliana. About 97% of the genes were located in nucleus and 3% in cytoplasmic organelles. qRT-PCR analysis showed a different expression pattern of these genes in response to biotic stresses ( Plasmodiophora brassicae and Sclerotinia sclerotiorum) and abiotic stresses (cold, drought, and salinity) and hormonal treatments. Differential expression of the same gene was observed under multiple stress conditions, and a few genes showed similar expression in response to more than one phytohormones. Our results suggest that the C2H2-ZF genes can be targeted for the improvement of stress tolerance in canola.
A method to detect quantum coherent transport in memristive devices
Authors: Huggins C. J. , Savel’ev S. E. , Balanov A. G. , Zagoskin A. M. 
Published: March 2023

Abstract
While the size of functional elements in memristors becomes of the orders of nano-meters or even smaller, the quantum effects in their dynamics can significantly influence their transport properties, consistent with recent experimental observations of conductance quantisation in memristors. This requires the development of experimentally accessible signatures of quantum behaviour in memristive systems, such as a superposition of quantum states with different memristances. Here we discuss one such protocol. Our simulations show that periodic projective measurements induce additional spectral components in the response of quantum memristor to a harmonic input signal. Moreover, the response demonstrates a resonant behaviour when the frequency of the projective measurements commensurates with the frequency of the input. We demonstrate that observation of such harmonic mixing can be used as experimental evidence of quantum effects in memristors.

Graphic abstract
On Einstein–Born–Infeld conformally invariant theory
Authors: Cirilo-Lombardo Diego Julio 
Published: March 2023

AbstractA new Weyl Born Infeld model is presented. It takes as basis the formalism for the mathematical description of conformal gravity based on the local twistor geometry from Merkulov (Class Quantum Gravity 1:349–354, 1984). As in the pure Maxwell case, the electromagnetic field can be naturally incorporated into this scheme by a modification of the local twistor parallel transport law. The dynamical equations of the linear case, namely the Bach equations for gravity and the Maxwell equations for the electromagnetic field, can not be obtained by varying a single quantity-the modified twistor connection, unless a geometric condition on a particular function of the invariants is imposed. When that condition is met, the Weyl–Maxwel gravity system are contained in the obtained set. The invariance under standard dualities and other generalized maps are briefly discussed.
Temporal network analysis using zigzag persistence
Authors: Myers Audun , Muñoz David , Khasawneh Firas A , Munch Elizabeth 
Published: March 2023

AbstractThis work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The resulting approach is general and applicable to a wide variety of time-varying graphs. For example, these graphs may correspond to a system modeled as a network with edges whose weights are functions of time, or they may represent a time series of a complex dynamical system. We use simplicial complexes to represent snapshots of the temporal networks that can then be analyzed using zigzag persistence. We show two applications of our method to dynamic networks: an analysis of commuting trends on multiple temporal scales, e.g., daily and weekly, in the Great Britain transportation network, and the detection of periodic/chaotic transitions due to intermittency in dynamical systems represented by temporal ordinal partition networks. Our findings show that the resulting zero- and one-dimensional zigzag persistence diagrams can detect changes in the networks’ shapes that are missed by traditional connectivity and centrality graph statistics.
Network Monitoring on Multi-Pipe Switches
Authors: Chiesa Marco , Verdi Fábio L. 
Published: March 2023

Programmable switches have been widely used to design network monitoring solutions that operate in the fast data-plane level, e.g., detecting heavy hitters, super-spreaders, computing flow size distributions and their entropy. Many existing works on networking monitoring assume switches deploy a single memory that is accessible by each processed packet. However, high-speed ASIC switches increasingly deploymultiple independent pipes, each equipped with its own independent memory thatcannot be accessed by other pipes.
In this work, we initiate the study of deploying existing heavy-hitter data-plane monitoring solutions on multi-pipe switches where packets of a "flow" may spread over multiple pipes, i.e., stored into distinct memories. We first quantify the accuracy degradation due to splitting a monitoring data structure across multiple pipes (e.g., up to 3000x worse flow-size estimation average error). We then present PipeCache, a system that adaptsexisting data-plane mechanisms to multi-pipe switches by carefully storing all the monitoring information of each traffic class into exactly one specific pipe (as opposed to replicate the information on multiple pipes). PipeCache relies on the idea of briefly storing monitoring information into a per-pipe cache and then piggybacking this information onto existing data packets to the correct pipeentirely at data-plane speed. We implement PipeCache on ASIC switches and we evaluate it using a real-world trace. We show that existing data-plane mechanisms achieves accuracy levels and memory requirements similar to single-pipe deployments when augmented with PipeCache (i.e., up to 16x lower memory requirements).
DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems
Authors: Giannoula Christina , Huang Kailong , Tang Jonathan , Koziris Nectarios , Goumas Georgios , Chishti Zeshan , Vijaykumar Nandita 
Published: March 2023

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and failure-handling in data centers by physically separating hardware devices in a server. Servers are architected as pools of processor, memory, and storage devices, organized as independent failure-isolated components interconnected by a high-bandwidth network. A critical challenge, however, is the high performance penalty of accessing data from a remote memory module over the network. Addressing this challenge is difficult as disaggregated systems have high runtime variability in network latencies/bandwidth, and page migration can significantly delay critical path cache line accesses in other pages.
This paper conducts a characterization analysis on different data movement strategies in fully disaggregated systems, evaluates their performance overheads in a variety of workloads, and introduces DaeMon, the first software-transparent mechanism to significantly alleviate data movement overheads in fully disaggregated systems. First, to enable scalability to multiple hardware components in the system, we enhance each compute and memory unit with specialized engines that transparently handle data migrations. Second, to achieve high performance and provide robustness across various network, architecture and application characteristics, we implement a synergistic approach of bandwidth partitioning, link compression, decoupled data movement of multiple granularities, and adaptive granularity selection in data movements. We evaluate DaeMon in a wide variety of workloads at different network and architecture configurations using a state-of-the-art simulator. DaeMon improves system performance and data access costs by 2.39× and 3.06×, respectively, over the widely-adopted approach of moving data at page granularity.
Molecular Characterization and Mineralizing Potential of Phosphorus Solubilizing Bacteria Colonizing Common Bean (Phaseolus vulgaris L.) Rhizosphere in Western Kenya
Authors: Kiprotich Kelvin , Muoma John , Omayio Dennis O. , Ndombi Tavasi S. , Wekesa Clabe 
Published: March 2023

Phosphorus solubilizing bacteria (PSB) are a category of microbes that transform insoluble phosphates in soil into soluble forms that crops can utilize. Phosphorus in natural soils is abundant but poorly soluble. Hence, introducing PSB is a safer way of improving its solubility. The aim of this study was to genetically characterize and determine the mineralization capability of selected PSB colonizing rhizospheres of common beans in Western Kenya. Seven potential phosphorus solubilizing bacteria (PSB) were isolated from various subregions of Western Kenya. 16S ribosomal RNA gene sequencing and National Center for Biotechnology Information (NCBI), Basic Local Alignment Search Tool (BLAST) identified the isolates. The phosphate solubilization potential of the isolates was evaluated under agar and broth medium of National Botanical Research Institute’s phosphate (NBRIP) supplemented with tricalcium calcium phosphate (TCP). Identified isolates were as follows: KK3 as Enterobacter mori, B5 (KB5) as Pseudomonas kribbensis, KV1 as Enterobacter asburiae, KB3 as Enterobacter mori, KK1 as Enterobacter cloacae, KBU as Enterobacter tabaci, and KB2 as Enterobacter bugandensis. The strains B5 and KV1 were the most effective phosphorus solubilizers with 4.16 and 3.64 indices, respectively. The microbes converted total soluble phosphate concentration in broth medium which was 1395 and 1471 P μg/mL, respectively. The least performing isolate was KBU with a 2.34 solubility index. Significant (

p

≤ 0.05) differences in plant biomass for Rose coco and Mwitemania bean varieties were observed under inoculation with isolates B5 and KV1. PSB isolates found in common bean rhizospheres exhibited molecular variations and isolates B5 and KV1 are the potential in solving the insufficiency of phosphorus for sustainable crop production.
A Bispecific METxMET Antibody–Drug Conjugate with Cleavable Linker Is Processed in Recycling and Late Endosomes
Authors: Perez Bay Andres E. , Faulkner Devon , DaSilva John O. , Young Tara M. , Yang Katie , Giurleo Jason T. , Ma Dangshe , Delfino Frank J. , Olson William C. , Thurston Gavin , Daly Christopher , Andreev Julian 
Published: March 2023

AbstractMost antibody–drug conjugates (ADC) approved for the treatment of cancer contain protease-cleavable linkers. ADCs that traffic to lysosomes traverse highly acidic late endosomes, while ADCs that recycle to the plasma membrane traffic through mildly acidic sorting and recycling endosomes. Although endosomes have been proposed to process cleavable ADCs, the precise identity of the relevant compartments and their relative contributions to ADC processing remain undefined. Here we show that a METxMET biparatopic antibody internalizes into sorting endosomes, rapidly traffics to recycling endosomes, and slowly reaches late endosomes. In agreement with the current model of ADC trafficking, late endosomes are the primary processing site of MET, EGFR, and prolactin receptor ADCs. Interestingly, recycling endosomes contribute up to 35% processing of the MET and EGFR ADCs in different cancer cells, mediated by cathepsin-L, which localizes to this compartment. Taken together, our findings provide insight into the relationship between transendosomal trafficking and ADC processing and suggest that receptors that traffic through recycling endosomes might be suitable targets for cleavable ADCs.
Abstract ED13-3: Cardiovascular toxicity and breast cancer: Detection and prevention strategies
Authors: Thavendiranathan Dinesh 
Published: March 2023

Abstract
The presentation will discuss the potential cardiovascular toxicities (e.g., heart failure, coronary artery disease, arrhythmias) that are seen in women with breast cancer with a particular focus on those receiving cancer therapy. It will discuss the associated drugs, timing, the severity, and treatment options. The presentation will also include strategies that could be considered for risk stratification of patients prior to initiation of cancer therapy, methods to identify early cardiovascular injury, and primary prevention options. Recent guidelines including the ESC cardio-oncology guidelines and the prior ASCO guidelines will be highlighted. Practical approaches to assessment and management of cardiovascular toxicities will also be discussed. The presentation will wrap up providing potential future directions in the field.
Citation Format: Dinesh Thavendiranathan. Cardiovascular toxicity and breast cancer: Detection and prevention strategies [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr ED13-3.