bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of intelligent operation inspection platform based on the multi-agent system for live line measurement of substation
Authors: Xuefeng Ning , Yao Guo 
Published: December 2022

Abstract
At present, substations are developing vigorously in an intelligent direction. In this paper, an intelligent operation inspection platform based on a multi-agent system is designed. The platform’s design includes the design of its physical architecture and its operation architecture. The physical architecture of the platform includes a substation main control server, fixed live line measurement device, intelligent operation inspection software, intelligent data centralization device, intelligent interface conversion device, wireless communication channel, etc. In terms of platform operation architecture, an operation framework based on a multi-agent system is designed, including the “environment” layer, data sensing layer, data processing layer, and analysis and decision layer, and the whole platform is built based on the concept of edge computing. To solve the task allocation problem of edge computing, a Markov decision model is designed to minimize time consumption and maximize resource utilization, and the deep Q network (DQN) algorithm is used to solve the problem. The design aims at being effective, practical, safe, compatible, easy to upgrade, and extensible, and builds an intelligent operation inspection platform for live line measurement of substation equipment based on a multi-agent system, to improve the intelligent automation level of substation operation inspection.
Research on Harmonic Detection Algorithm Based on apFFT
Authors: Li Rong , Liu Ting , Liu XiGao 
Published: December 2022

Abstract
With the improvement of train speed of high-speed railway, the traction power and traction current are increasing. In order to evaluate the influence of traction current harmonic and inter-harmonic on train signal system, accurate detection of harmonic and inter-harmonic is urgently needed. This paper proposed an algorithm based on the all-phase fast Fourier transform method (apFFT) to realize accurate detection of harmonic and inter-harmonic. Firstly, the harmonic and inter-harmonic steady-state model are constructed, and the continuous and discrete time characteristics of the signal are analysed. Secondly, on the basis of theoretical analysis, the apFFT method has the characteristics of high amplitude accuracy and phase invariance by comparing with the traditional FFT method. Finally, the detection results of harmonic signal and inter-harmonic signal show that the apFFT method is significantly improved in frequency accuracy, amplitude accuracy and phase accuracy comparing with other FFT algorithms.
Assessment of gravity field recovery from a quantum satellite mission with atomic clocks and cold atom gradiometers
Authors: Rossi L , Reguzzoni M , Koç Ö , Rosi G , Migliaccio F 
Published: December 2022

Abstract
The aim of the MOCAST+ (MOnitoring mass variations by Cold Atom Sensors and Time measures) project, which was carried out during the years 2020–2022, was the investigation of the performance of a gravity field mission based on the integration of atomic clocks and cold atom interferometers. The idea was that the combined observations of the two sensors would be beneficial for the detection and monitoring of geophysical phenomena which have an impact on the time-variable part of the Earth gravity field models. Several different mission scenarios were simulated, considering different satellite configurations such as a Gravity Recovery and Climate Experiment (GRACE)-class formation and a Bender-class formation with either two or three in-line satellites along each orbit. Moreover, different atomic species (rubidium and strontium), different inter-satellite distances, different noise power spectral densities, and different observation rates were taken into account. For the gravity field estimation from the simulated data, the space-wise approach was exploited. The results showed that, as it could be expected, the Bender configuration provides significantly better monthly gravity field solutions, as compared to a ‘nominal’ configuration with two or three satellites in a GRACE-class formation. In this way, and pushing the quantum sensors technology to its limits, it is in fact possible to obtain results which are comparable with those from GRACE at low harmonic degrees, and are better at higher degrees with positive effects in the detectability of localized time variable phenomena, as well as in the determination of the static gravity field at a higher maximum spherical harmonic degree than the one achieved by Gravity Field and Steady-State Ocean Circulation Explorer (of course considering an equivalent mission life-time).
The effect of flow on radiolysis in liquid phase-TEM flow cells
Authors: Merkens Stefan , De Salvo Giuseppe , Chuvilin Andrey 
Published: December 2022

Abstract
Applying a continuous flow to rinse radiolytic species from the irradiated volume is a widely proposed strategy to reduce beam-related artefacts in Liquid-Phase Transmission Electron Microscopy (LP-TEM). However, this has not been verified either experimentally or theoretically to date. Here we explore an extended numerical model implementing radiolytic chemistry, diffusion and liquid convection to study the peculiarities of beam-induced chemistry in the presence of a flowing liquid within a heterogenously irradiated nanoconfined channel corresponding to a LP-TEM flow cell. Intruigingly, the concentration of some principal chemical species, predominantly hydrogen radicals and hydrated electrons, is found to grow significantly rather than to decrease in respect to zero-flow when moderate flow conditions are applied. This counterintuitive behaviour is discussed in terms of reactants’ lifetimes, spatial separation of the reaction network and self-scavenging by secondary radiolytic species. In the presence of a flow the consumption of highly reactive species is suppressed due to removal of the self-scavengers, and as a result their concentration in the irradiated area increases. A proof of concept for the supply of scavengers by the flow is demonstrated. Unravelling the effect of flow on radiolysis spawns direct implications for LP-TEM flow experiments providing yet one more control parameter for adjusting the chemistry in the irradiated/imaging area, in particular for mitigation strategies by continuous supply of scavengers.
A transposable element into the human long noncoding RNA CARMEN is a switch for cardiac precursor cell specification
Authors: Plaisance Isabelle , Chouvardas Panagiotis , Sun Yuliangzi , Nemir Mohamed , Aghagolzadeh Parisa , Aminfar Farhang , Shen Sophie , Shim Woo Jun , Rochais Francesca , Johnson Rory , Palpant Nathan , Pedrazzini Thierry 
Published: December 2022

Abstract

Aims
The major cardiac cell types composing the adult heart arise from common multipotent precursor cells. Cardiac lineage decisions are guided by extrinsic and cell-autonomous factors, including recently discovered long noncoding RNAs (lncRNAs). The human lncRNA CARMEN, which is known to dictate specification toward the cardiomyocyte (CM) and the smooth muscle cell (SMC) fates, generates a diversity of alternatively spliced isoforms.

Methods and results
The CARMEN locus can be manipulated to direct human primary cardiac precursor cells (CPCs) into specific cardiovascular fates. Investigating CARMEN isoform usage in differentiating CPCs represents therefore a unique opportunity to uncover isoform-specific functions in lncRNAs. Here, we identify one CARMEN isoform, CARMEN-201, to be crucial for SMC commitment. CARMEN-201 activity is encoded within an alternatively spliced exon containing a MIRc short interspersed nuclear element. This element binds the transcriptional repressor REST (RE1 Silencing Transcription Factor), targets it to cardiogenic loci, including ISL1, IRX1, IRX5, and SFRP1, and thereby blocks the CM gene program. In turn, genes regulating SMC differentiation are induced.

Conclusions
These data show how a critical physiological switch is wired by alternative splicing and functional transposable elements in a long noncoding RNA. They further demonstrated the crucial importance of the lncRNA isoform CARMEN-201 in SMC specification during heart development.
Artificial intelligence–augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T
Authors: De Michieli Laura , Knott Jonathan D , Attia Zachi I , Ola Olatunde , Mehta Ramila A , Akula Ashok , Hodge David O , Gulati Rajiv , Friedman Paul A , Jaffe Allan S , Sandoval Yader 
Published: December 2022

Abstract

Aims
Our goal was to evaluate a previously validated artificial intelligence–augmented electrocardiography (AI-ECG) screening tool for left ventricular systolic dysfunction (LVSD) in patients undergoing high-sensitivity-cardiac troponin T (hs-cTnT).

Methods and results
Retrospective application of AI-ECG for LVSD in emergency department (ED) patients undergoing hs-cTnT. AI-ECG scores (0–1) for probability of LVSD (left ventricular ejection fraction ≤ 35%) were obtained. An AI-ECG score ≥0.256 indicates a positive screen. The primary endpoint was a composite of post-discharge major adverse cardiovascular events (MACEs) at two years follow-up. Among 1977 patients, 248 (13%) had a positive AI-ECG. When compared with patients with a negative AI-ECG, those with a positive AI-ECG had a higher risk for MACE [48 vs. 21%, P &lt; 0.0001, adjusted hazard ratio (HR) 1.39, 95% confidence interval (CI) 1.11–1.75]. This was largely because of a higher rate of deaths (32 vs. 14%, P &lt; 0.0001; adjusted HR 1.26, 95% 0.95–1.66) and heart failure hospitalizations (26 vs. 6.1%, P &lt; 0.001; adjusted HR 1.75, 95% CI 1.25–2.45). Together, hs-cTnT and AI-ECG resulted in the following MACE rates and adjusted HRs: hs-cTnT &lt; 99th percentile and negative AI-ECG: 116/1176 (11%; reference), hs-cTnT &lt; 99th percentile and positive AI-ECG: 28/107 (26%; adjusted HR 1.54, 95% CI 1.01–2.36), hs-cTnT &gt; 99th percentile and negative AI-ECG: 233/553 (42%; adjusted HR 2.12, 95% CI 1.66, 2.70), and hs-cTnT &gt; 99th percentile and positive AI-ECG: 91/141 (65%; adjusted HR 2.83, 95% CI 2.06, 3.87).

Conclusion
Among ED patients evaluated with hs-cTnT, a positive AI-ECG for LVSD identifies patients at high risk for MACE. The conjoint use of hs-cTnT and AI-ECG facilitates risk stratification.
C. DIFFICILE INFECTION AS A MAKER FOR DYSBIOSIS IS LONGITUDINALLY ASSOCIATED WITH COGNITIVE DECLINE AND DEMENTIA
Authors: Resciniti Nicholas 
Published: December 2022

Abstract
Disruption of the gut microbiome (dysbiosis) is associated with cognitive decline and dementia; however, there is a lack of findings demonstrating how dysbiosis is longitudinally associated with cognitive outcomes. This study aimed to quantitatively assess whether there is an association between Clostridium difficile infection (CDI) as a marker for dysbiosis and cognitive decline and dementia. We used 6,147 older adults from the Health and Retirement Study and the Centers for Medicare and Medicaid Services from 1999-2012. Outcome variables included cognitive scores (0-27) and dementia (8 or less). The exposure was time-varying ICD-9 CDI. Generalized estimating equation were used for the main analysis. Having at least one CDI infection was associated with -2.85 (B = -2.85; 95% CI: -4.43, -0.26) at 2000 (baseline) and at 2002 (B = -2.85; 95% CI: -4.43, -0.26), 2004 (B = -2.85; 95% CI: -4.43, -0.26), 2006 (B = -2.85; 95% CI: -4.43, -0.26), and 2008 (B = -2.85; 95% CI: -4.43, -0.26), after adjusting. Those having at least one CDI had 6.62 greater odds (OR = 6.62; 95% CI: 1.68, 26.05) of dementia at 2000 and was associated with time points 2002 (OR = 4.12; 95% CI: 1.48, 11.52) and 2004 (OR = 2.57; 95% CI: 1.14, 5.81). This study indicated that those with a CDI had a greater cognitive decline and a greater probability dementia. These findings provide evidence that dysbiosis has a larger impact on cognitive outcomes closest to the initial disruption and is less impactful further on.
FUNGAL INFECTIONS, USE OF ANTIFUNGAL AGENTS, AND THE RISK OF ALZHEIMER’S DISEASE
Authors: Yashkin Arseniy , Akushevich Igor , Yashin Anatoliy , Gorbunova Galina , Ukraintseva Svetlana 
Published: December 2022

Abstract
Alzheimer’s Disease (AD) is a complex neurodegenerative disorder leading to progressive cognitive decline and death. Accumulating evidence suggests that common adult infections, such as recurrent fungal infections, may play a major role in AD development. In this study we used administrative claims data, 1991-2017, from a 5% sample of U.S. Medicare beneficiaries age 65+ to study the potential relationship between fungal infections, use of antifungal drugs and AD onset. In unweighted analysis using the Cox model, we found that after accounting for demographic and health-related differences, the presence of fungal infections, independent of treatment increased the risk of AD [Hazard Ratio(HR):1.98; 95% Confidence Interval(CI):1.89-1.92]. The strength of the effect did not change when the population was restricted to Medicare beneficiaries with Medicare Part D (prescription drug) coverage in 2006+ (HR:1.99; CI:1.97-2.01). We then split the latter group into yearly split-episode data and calculated the medication possession ratios (MPR) of three major groups of antifungal agents: imidazole, triazole and polyenes and re-estimated our models. Although the effect associated with fungal infection did not change, higher MPRs of imidazole (HR:0.61; CI:0.48-0.76) and especially triazole (HR:0.37; CI:0.24-0.58) were found to be protective. In contrast, higher MPRs of polyenes were associated with increased risk (HR:1.32; CI:1.08-1.63). In summary, fungal infections were found to be strongly associated with AD risk with the effect being strongly modified by use of common antifungal treatments. More research is required to better define the biological mechanisms engendering these associations.
ASSOCIATIONS AMONG LATENT FACTORS OF METABOLIC LOAD, BRAIN VOLUME, AND COGNITION IN HEALTHY AGING
Authors: Duezel Sandra , Drewelies Johanna , Lindenberger Ulman , Steinhagen-Thiessen Elisabeth , Demuth Ilja , Kühn Simone 
Published: December 2022

Abstract
Metabolic syndrome (MetS) refers to risk factors for cardiovascular disease associated with reduced physical fitness, higher disease burden, and impaired cognitive functions. Available evidence indicates that metabolic functioning is related to brain structure at the level of specific indicators, such as hypertension and voxel-based morphometry, respectively. However, attempts to relate metabolic load to brain morphology at the construct level using structural equation modeling are scarce. Here, we used confirmatory factor analysis to: (a) examine level and change associations among latent factors of metabolic risk, regional grey-matter integrity (GMI), and cognition; (b) test whether these associations differ by sex. Analyses were based on a sample of 1,100 healthy adults (52% female) aged 60 to 88 years from the Berlin Aging Study II, and included MRI data for a sub sample of 341 (37 % female) individuals. Metabolic risk was defined by waist circumference, triglycerides, fasting blood glucose, and high-density lipoprotein; regional GMI by mean diffusivity, magnetization ratio transfer ratio, and VBM-based volume estimates; and cognition, represented by the three latent constructs episodic memory, working memory and fluid intelligence. Initial analyses indicate that individuals with lower metabolic risk show greater GMI in prefrontal cortex. Also, we found that greater prefrontal GMI was associated with higher fluid intelligence and working memory in men only. Additionally, we investigated the effects of previous levels of metabolic risk and cognition on subsequent changes in both domains over time. We highlight the benefits of latent factors for establishing brain-behavior relations, and discuss putative physiological substrates of individual differences in GMI.
METABOLIC SYNDROME, GLUCOSE INTOLERANCE, AND PHYSICAL RESILIENCE
Authors: Kalyani Rita , Varadhan Ravi , Xue Qian-Li , Sieber Frederick , Imus Philip , Buta Brian , Bandeen-Roche Karen , Walston Jeremy 
Published: December 2022

Abstract
When confronted with a major physical stressor, some older adults are able to recover to baseline with minimal changes, while others undergo irreversible declines. The ability to adapt and recover well from physical stress is called physical resilience and may be impeded by altered glucose-insulin dynamics. Among 55 participants in the pilot phase of the Study of Physical Resilience IN Geriatrics(SPRING), we examined associations between metabolic syndrome and/or diabetes status to physical resiliency recovery parameters after the clinical stressors total knee replacement and bone marrow transplant. These parameters included health outcomes, functional recovery, and pain in the weeks after the intervention. Additionally, we hypothesized that less resilient individuals would have abnormal glucose and insulin responses to a 75-gram oral glucose tolerance test at 0, 30, 60, 120 minutes and tested this in a subset (n=40) without known diabetes. Exploratory analyses of this pilot study will be presented during this session.
PERSPECTIVES OF CAREGIVERS OF RURAL, OLDER VETERANS ON TELEGERIATRICS CARE
Authors: Boudreau Jacqueline , Conti Jennifer , Kennedy Meaghan , Pimentel Camilla , Hung William , Moo Lauren , Dryden Eileen 
Published: December 2022

Abstract
Telemedicine is critical to extending healthcare’s reach to rural older adults with complex medical needs, yet concerns remain about feasibility and acceptability for this population and their caregivers. We interviewed 30 rural Veterans ≥65 years old and/or their caregivers (n=21) about their experiences with video or telephone visits as part of an evaluation of Virtual Geriatrics, a network of Veterans Affairs tele-geriatric care hubs. Interviews were recorded, transcribed, and analyzed using rapid qualitative analysis. Caregivers deemed telemedicine a convenient option that prevented burdensome travel to remote specialists, facilitated caregiver involvement in visits, and matched quality of in-person visits. Caregivers often managed technology, enabling their loved one to participate in video visits. Telephone visits, while convenient, sometimes caused missed physical cues and hearing challenges which led providers to lean on caregiver communication. Our findings suggest telemedicine is feasible and acceptable for delivery for geriatrics care among rural adults and their caregivers.
PREDICTORS OF NURSING HOME COVID-19 CASES: A COMMUNITY VULNERABILITY APPROACH
Authors: Peterson Matthew , Lawhorne Larry 
Published: December 2022

Abstract
This study examined facility and community factors that were related to incident COVID-19 cases in nursing facilities. N=12,473 US nursing facilities were included in this study. Data from June 2020 - January 2021 from several sources were combined to create a dataset that included facility and community factors. Results indicated that higher staff shortages, poorer facility rating, for-profit ownership, proportionally more Medicaid and non-white residents were all significantly associated with higher COVID case rates over 8 months (all P &lt; 0.0001). Community level predictors of higher cases included urban setting and higher Social Vulnerability Index (SVI). SVI was the strongest predictor of COVID case counts. This study assists in determining critical facility and community factors that predict increasing COVID burden in nursing facilities. Particularly, SVI is an important factor in determining facility and public health policy, and for targeting resources in large scale health crises such as the COVID-19 pandemic.
IMPACT OF SOCIAL ISOLATION ON OLDER ADULTS IN NURSING HOMES DURING THE PANDEMIC LOCKDOWN: INFORMING POLICY
Authors: Koszalinski Rebecca , Sturdevant Diana , Smith Patsy , Myers Julie , Yellseagle Debara , Olmos Brenda , Netter Molly 
Published: December 2022

Abstract

Purpose
Describe outcomes of an equity-centered community design (ECCD) project examining the impact of COVID-19 restrictions and social isolation on nursing home (NH) owners, administrators, community leaders, clergy, and urban homeless shelter staff. •

Methods
3-phase, ECCD project. Key informants (KI) were recruited through snowball sampling if experienced in caring for older adults (OA) in NH, in the community, or were engaged in spiritual care of OA.•

Results
Perceptions of fear, anger, frustration, sadness, and concern. Categories of Lost Communication and Socialization Strategies, Lost Freedom, Residents’ Dying Alone and Inability to Pause to Grieve, Helplessness and Hopelessness, Inability to Take Time to Grieve, and Behavior Changes. KI offered New Ways of Communicating, and interventions and solutions were generated in Phase III.• Implications. Understanding of Stakeholder experiences and perceptions is important to achieving inclusive, equity-centered solutions. Future policy decisions must consider what matters most to those most directly impacted by those decisions.
REDUCING AGEISM IN THE LGBTQ+ COMMUNITY THROUGH INTERGENERATIONAL CONNECTION
Authors: Andreoletti Carrie , Barmon Christina , June Andrea , Bartone Michael 
Published: December 2022

Abstract
Intergenerational interaction has the potential to reduce ageism and increase feelings of generativity in both younger and older adults. To expand aging education beyond our aging and gerontology classes, we collaborated with our campus LGBT Center and community partners to host several intergenerational conversations between younger and older LGBTQ+ adults and allies. The goal was to foster connection across the generations in the LGBTQ+ community through discussions of topics of mutual interest (e.g., ageism, identity & language). Participants in the LGBTQ+ conversations reported that they valued the opportunity to talk with members of the community from different generations and that the conversations changed their views of one another in a positive way. We will discuss the strengths and challenges of our program, ideas for future programs and research, and suggestions for integrating discussion of LGBTQ+ aging into the classroom.
INTERGENERATIONAL TRANSFERS AND HEALTH IN CHINESE OLDER ADULTS: DO RESILIENCE AND GENDER MATTER?
Authors: Liu Sizhe , Zhang Wei , Zhang Keqing , Wu Bei 
Published: December 2022

Abstract
Emotional and instrumental supports from adult children have been shown to increase positive outcomes among older adults. In this study, we examined the association between intergenerational transfer and self-rated health as well as the mediating and moderating roles of resilience and gender, respectively, using data from Chinese older adults in Honolulu (N=400). We found that the impact of emotional and instrumental support varied by gender. Further, we found that resilience significantly mediated the positive effect of provided economic support on health of older men (resilience mediated 25.1% of the total effect) as well as the positive effect of received emotional support on health of older women (resilience mediated 35.3% of the total effect). Our study highlights the importance of considering resilience and gender differences when examining intergenerational transfers and health among Chinese older adults. The design of a culturally tailored policy would help promote the health of Chinese older adults.