bluuebunny/crossref_metadata_2025 huggingface dataset:
2 Framing
Authors: Cobussen Marcel
Published: November 2022

This chapter sets out the ways in which sound studies can contribute to our thinking about place; listening to a place can help us to perceive it as an active and unstable agent, participating and constituting in the moment the action takes place. The environment around us affects the absorption, reverberation, and diffraction of sound; therefore, sound gives us an indication of the space it is in. Additionally, the activities that occur in a place – along with their associated sounds – cause the place to be given meaning. In other words, a place provides a stage for a specific practice, and is an intersection of happenings.

We then discuss why sounds are impactful and important for our culture; sound offers us a possibility to explore and reveal new ways of knowing, and to gain new knowledge of how human and non-human agents relate to one another and their environment. The dominance of the eye in Western history is detailed, through to the modern rise of ‘auditory culture’ and ‘sound studies’.

The chapter also outlines the intent to sketch some contours of what sonic materialism could be(come) and how it deviates from the conceptual frameworks which have dominated Western culture and discourses. The objective behind this is to create affective relationships to places, to explore various listening attitudes, and to give a voice to the less ear-catching sounds of everyday life. The development of sonic materialism is described as being a quest into how the sonic can contribute to and participate in current philosophical discourses, without being encapsulated beforehand in the written or spoken language typical of philosophy or theorizing. In other words, it involves thinking in and through the sonic, rather than thinking about it. The identity of sounds is discussed, as well as the movement involved in creating them.
3 The Familiarity of Everyday Sounds
Authors: Cobussen Marcel
Published: November 2022

In this chapter, sonic environments are described as characteristic traits of a place, which are perceived but not noticed, to the listener’s pleasure or annoyance. Under the topic of ‘annoyance’, misophonia and ‘the Hum’ are discussed, while under ‘pleasure’, Autonomous Sensory Meridian Response (ASMR) comes into play.

Everyday sounds are described as comparable to music, rather than inferior to it. There is a discussion of “disciplining sounds”, where sounds guide, control, and manipulate us. The use of sound in this way shows us the extent to which we do actually monitor what is going on around us aurally, even without consciously paying attention.

Finally, the chapter covers windows and doors, and the way in which they carry out sound management, preventing unwanted sounds from entering the house as best they can. As a result, windows and doors are argued to have a social, political, and ethical role which is closely connected to the sonic ambiance.
5 The Ethics and Politics of Everyday Sounds
Authors: Cobussen Marcel
Published: November 2022

This chapter turns to solastalgia – a form of psychic or existential distress caused by changes in the home environment. Sonic solastalgia, in particular, is discussed in relation to the construction of a new highway or wind farm, the chopping down of trees, etc.

The author then discusses resonance communities, and our inability to be entirely separated from other sonic environments. This means that sound is a (co-)constituent of our social lives – it can unite or divide, include or exclude, homogenize or heterogenized. It is set out that in and through sound we can express how we live together and share our common daily experiences.

The way in which sounds are political is detailed – sounds influence modes of perception and are a means of (re)organizing private and public spaces. They also influence human agents on a cultural and pre-cultural (biological) level. Additionally, interactive sonic encounters are shown to relate to ethics.
Exploring Global Climate Model Downscaling Based on Tile-Level Output
Authors: Admasu Lualawi Mareshet , Grant Luke , Thiery Wim
Published: November 2022

Statistical and dynamical modeling techniques are used to downscale global climate model (GCM) outputs to practical resolutions for local- or regional-scale applications. Current techniques do not incorporate the effects of land-use and land-cover changes, although research has shown that such changes can substantially affect climate locally. Here, we explore a new downscaling technique that uses tile-level GCM outputs provided under phase 6 of the Coupled Model Intercomparison Project (CMIP6). The method, land-cover tile downscaling (LTD), spatially locates the tile-level GCM outputs by mapping them to corresponding classes in high-resolution land-cover maps. Furthermore, it applies an elevation-based correction to account for the effect of topography on the local climate. LTD is applied to near-surface temperature outputs from the Community Earth System Model, version 2 (CESM2) and U.K. Earth System Model, version 1 (UKESM1), and surface temperature output from CESM2 and evaluated against observations. In comparison with grid-averaged control data, LTD outputs show an overall bias reduction that is not spatially consistent. Moreover, LTD performs better on air temperature data than on surface temperature and better on areas dominated by primary/secondary land and crops than on urban land. This could arise from simplifications in methods, like land-cover reclassification and simplified lapse rate estimates. However, the difference in response between the two variables and land-cover types implies that biases also stem from model structural features involved in estimating their tile-level outputs. This is supported by the differences between grid average data provided by the models and the same data reconstructed from tile-level outputs. Therefore, a thorough evaluation and quality control of tile-level outputs is recommended.
Standing Eddies in Glacial Fjords and Their Role in Fjord Circulation and Melt
Authors: Zhao Ken X. , Stewart Andrew L. , McWilliams James C. , Fenty Ian G. , Rignot Eric J.
Published: November 2022

Glacial fjord circulation modulates the connection between marine-terminating glaciers and the ocean currents offshore. These fjords exhibit a complex 3D circulation with overturning and horizontal recirculation components, which are both primarily driven by water mass transformation at the head of the fjord via subglacial discharge plumes and distributed meltwater plumes. However, little is known about the 3D circulation in realistic fjord geometries. In this study, we present high-resolution numerical simulations of three glacial fjords (Ilulissat, Sermilik, and Kangerdlugssuaq), which exhibit along-fjord overturning circulations similar to previous studies. However, one important new phenomenon that deviates from previous results is the emergence of multiple standing eddies in each of the simulated fjords, as a result of realistic fjord geometries. These standing eddies are long-lived, take months to spin up, and prefer locations over the widest regions of deep-water fjords, with some that periodically merge with other eddies. The residence time of Lagrangian particles within these eddies are significantly larger than waters outside of the eddies. These eddies are most significant for two reasons: 1) they account for a majority of the vorticity dissipation required to balance the vorticity generated by discharge and meltwater plume entrainment and act to spin down the overall recirculation and 2) if the eddies prefer locations near the ice face, their azimuthal velocities can significantly increase melt rates. Therefore, the existence of standing eddies is an important factor to consider in glacial fjord circulation and melt rates and should be taken into account in models and observations.
Understanding Energy Pathways in the Gulf Stream
Authors: Contreras Marcela , Renault Lionel , Marchesiello Patrick
Published: November 2022

The Gulf Stream (GS) is one of the strongest ocean currents on the planet. Eddy-rich resolution models are needed to properly represent the dynamics of the GS; however, kinetic energy (KE) can be in excess in these models if not dissipated efficiently. The question of how and how much energy is dissipated and in particular how it flows through ocean scales thus remains an important and largely unanswered question. Using a high-resolution (∼2 km) ocean model [Coastal and Regional Ocean Community (CROCO)], we characterize the spatial and temporal distribution of turbulent cascades in the GS based on a coarse-grained method. We show that the balanced flow is associated with an inverse cascade while the forward cascade is explained by ageostrophic advection associated with frontogenesis. Downscale fluxes are dominant at scales smaller than about 20 km near the surface and most intense at the GS North Wall. There is also strong seasonal variability in KE flux, with the forward cascade intensifying in winter and the inverse cascade later in spring. The forward cascade, which represents an interior route to dissipation, is compared with both numerical and boundary dissipation processes. The contribution of interior dissipation is an order of magnitude smaller than that of the other energy sinks. We thus evaluate the sensitivity of horizontal momentum advection schemes on energy dissipation and show that the decrease in numerical dissipation in a high-order scheme leads to an increase in dissipation at the boundaries, not in the downscale flux.
Objectively Diagnosing Characteristics of Mesoscale Organization from Radar Reflectivity and Ambient Winds
Authors: Short Ewan , Lane Todd P. , Vincent Claire L.
Published: November 2022

In the classical model of mesoscale convective systems (MCSs), a system generates new convective cells on the downshear side of its cold pool, with the cells fed at low levels from the front, and the stratiform cloud trailing behind the system in the upshear direction, where “front” and “behind” typically refer to the system’s ground-relative velocity. In this study we present an algorithm for identifying and tracking MCSs in radar reflectivity data, and objectively diagnosing organizational characteristics related to the classical model, namely, the offset of stratiform cloud from convective cloud relative to system velocity, the low-level inflow direction, and the shear-relative tilt and propagation directions. When applied to the 15-yr radar record covering the Darwin region of northern Australia, the algorithm indicates that 65%–80% of MCS observations are consistent with the classical model, at least when the four classifications can be made unambiguously. However, these observed characteristics occur almost entirely in the drier phases of the Australian monsoon. During the humid, active monsoon phase, observed characteristics consistent with the classical model are rare, and most systems exhibit nonclassical upshear propagation.

Significance Statement

In this study we developed a computer program for tracking large storms in radar data. The program tracks storms through time and space, recording their three-dimensional structure. Knowledge of this structure allows our program to automatically put storms into different, commonly used categories. These categories provide clues about the processes that can make storms grow, persist, or decay. Our computer program is useful because the classification process is very time consuming when done by humans. Also, when applied to radar datasets from northern Australia, our program suggests most large storms are consistent with standard theories of what make storms grow and persist. However, when the air is very humid, large storms inconsistent with standard theories become common.
The ‘medical city’ and China’s entrepreneurial state: Spatial production under rising consumerism in healthcare
Authors: Nie Xuanyi
Published: November 2022

The role of hospitals has significantly changed over the past decades and the ‘medical city’ has emerged as a new urban phenomenon in China. However, research on the significance of the medical city to China’s urbanism is limited. This paper situates China’s medical city in the theory of state entrepreneurialism and rethinks consumerism in healthcare. Particularly focussing on the state–market and production–consumption dyads, the paper argues that the state has engineered the institutional and market legitimacy for the rise of consumerism in healthcare and allows the medical city to capitalise on the provision and consumption of high-end healthcare services to advance the healthcare reform and capture economic opportunities. This argument is substantiated by a case study on the Shanghai New Hongqiao International Medical Center, which focusses on the public–private partnerships in the medical city. It is found that while the production of the medical city is based on private sector participation, the state’s presence is diffused in the governance of the medical city through public–private partnerships, which reflect the characteristics of state entrepreneurialism. The findings add to the theory of China’s urbanism with new sets of materials and render important implications for the urban future in China.
Sarcopenia is associated with mild-to-moderate chronic kidney disease in Chinese community-dwelling older men but not in women
Authors: Chen Xiaoyu , Zhu Xiaoyan , Han Peipei , Zhang Yuanyuan , He Mian , Zhang Yuhui , Liu Jinghuan , Tang Jiawei , Zhang Yisong , Zheng Yaqing , Zhang Ziwei , Li Ming , Guo Qi
Published: November 2022

Objective

To determine whether a relationship exists between sarcopenia, including its individual components (muscle mass, muscle strength and gait speed), and mild-to-moderate chronic kidney disease (CKD) in Chinese older adults.

Methods

This cross-sectional study comprised participants aged ≥60 years from Tianjin and Shanghai, China, who joined a national free physical examination program between 2014 and 2019, and consented to study inclusion. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (2019 version). Mild-to-moderate CKD was defined as estimated glomerular filtration rate (eGFR) between 45 ml/min/1.73 m2 and 60 ml/min/1.73 m2.

Results

A total of 1627 participants were included (mean age, 69.32 ± 6.17 years; 43.8% male). Sarcopenia was significantly associated with mild-to-moderate CKD in men but not women. Among three physical performance components, slow gait speed (odds ratio 1.89, 95% confidence interval 1.38, 2.58) was associated with mild-to-moderate CKD in both men and women after adjusting for all other variables.

Conclusions

Sarcopenia was closely associated with mild-to-moderate CKD in older men, and slow gait speed was related to mild-to-moderate CKD in men and women. These findings may help guide better diagnosis and management of CKD in the context of slow gait speed, and facilitate earlier CKD detection and appropriate intervention in older adults.
Transfer learning for genotype–phenotype prediction using deep learning models
Authors: Muneeb Muhammad , Feng Samuel , Henschel Andreas
Published: November 2022

Background

For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-phenotype prediction of small populations. This manuscript illustrated that transfer learning is applicable for genotype data and genotype-phenotype prediction.

Results

Using HAPGEN2 and PhenotypeSimulator, we generated eight phenotypes for 500 cases/500 controls (CEU, large population) and 100 cases/100 controls (YRI, small populations). We considered 5 (4 phenotypes) and 10 (4 phenotypes) different risk SNPs for each phenotype to evaluate the proposed method. The improved accuracy with transfer learning for eight different phenotypes was between 2 and 14.2 percent. The two-tailed p-value between the classification accuracies for all phenotypes without transfer learning and with transfer learning was 0.0306 for five risk SNPs phenotypes and 0.0478 for ten risk SNPs phenotypes.

Conclusion

The proposed pipeline is used to transfer knowledge for the case/control classification of the small population. In addition, we argue that this method can also be used in the realm of endangered species and personalized medicine. If the large population data is extensive compared to small population data, expect transfer learning results to improve significantly. We show that Transfer learning is capable to create powerful models for genotype-phenotype predictions in large, well-studied populations and fine-tune these models to populations were data is sparse.
Persistent memory as an effective alternative to random access memory in metagenome assembly
Authors: Sun Jingchao , Qiu Zhining , Egan Rob , Ho Harrison , Li Yue , Wang Zhong
Published: November 2022

Background

The assembly of metagenomes decomposes members of complex microbe communities and allows the characterization of these genomes without laborious cultivation or single-cell metagenomics. Metagenome assembly is a process that is memory intensive and time consuming. Multi-terabyte sequences can become too large to be assembled on a single computer node, and there is no reliable method to predict the memory requirement due to data-specific memory consumption pattern. Currently, out-of-memory (OOM) is one of the most prevalent factors that causes metagenome assembly failures.

Results

In this study, we explored the possibility of using Persistent Memory (PMem) as a less expensive substitute for dynamic random access memory (DRAM) to reduce OOM and increase the scalability of metagenome assemblers. We evaluated the execution time and memory usage of three popular metagenome assemblers (MetaSPAdes, MEGAHIT, and MetaHipMer2) in datasets up to one terabase. We found that PMem can enable metagenome assemblers on terabyte-sized datasets by partially or fully substituting DRAM. Depending on the configured DRAM/PMEM ratio, running metagenome assemblies with PMem can achieve a similar speed as DRAM, while in the worst case it showed a roughly two-fold slowdown. In addition, different assemblers displayed distinct memory/speed trade-offs in the same hardware/software environment.

Conclusions

We demonstrated that PMem is capable of expanding the capacity of DRAM to allow larger metagenome assembly with a potential tradeoff in speed. Because PMem can be used directly without any application-specific code modification, these findings are likely to be generalized to other memory-intensive bioinformatics applications.
ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization
Authors: Tamasco Gustavo , Kumar Manish , Zengler Karsten , Silva-Rocha Rafael , da Silva Ricardo Roberto
Published: November 2022

Background

Genome-scale metabolic reconstruction tools have been developed in the last decades. They have helped to reconstruct eukaryotic and prokaryotic metabolic models, which have contributed to fields, e.g., genetic engineering, drug discovery, prediction of phenotypes, and other model-driven discoveries. However, the use of these programs requires a high level of bioinformatic skills. Moreover, the functionalities required to build models are scattered throughout multiple tools, requiring knowledge and experience for utilizing several tools.

Results

Here we present ChiMera, which combines tools used for model reconstruction, prediction, and visualization. ChiMera uses CarveMe in the reconstruction module, generating a gap-filled draft reconstruction able to produce growth predictions using flux balance analysis for gram-positive and gram-negative bacteria. ChiMera also contains two modules for metabolic network visualization. The first module generates maps for the most important pathways, e.g., glycolysis, nucleotides and amino acids biosynthesis, fatty acid oxidation and biosynthesis and core-metabolism. The second module produces a genome-wide metabolic map, which can be used to retrieve KEGG pathway information for each compound in the model. A module to investigate gene essentiality and knockout is also present.

Conclusions

Overall, ChiMera uses automation algorithms to combine a variety of tools to automatically perform model creation, gap-filling, flux balance analysis (FBA), and metabolic network visualization. ChiMera models readily provide metabolic insights that can aid genetic engineering projects, prediction of phenotypes, and model-driven discoveries.
Mathematical model of the cell signaling pathway based on the extended Boolean network model with a stochastic process
Authors: Kim Minsoo , Kim Eunjung
Published: November 2022

Background

In cell signaling pathways, proteins interact with each other to determine cell fate in response to either cell-extrinsic (micro-environmental) or intrinsic cues. One of the well-studied pathways, the mitogen-activated protein kinase (MAPK) signaling pathway, regulates cell processes such as differentiation, proliferation, apoptosis, and survival in response to various micro-environmental stimuli in eukaryotes. Upon micro-environmental stimulus, receptors on the cell membrane become activated. Activated receptors initiate a cascade of protein activation in the MAPK pathway. This activation involves protein binding, creating scaffold proteins, which are known to facilitate effective MAPK signaling transduction.

Results

This paper presents a novel mathematical model of a cell signaling pathway coordinated by protein scaffolding. The model is based on the extended Boolean network approach with stochastic processes. Protein production or decay in a cell was modeled considering the stochastic process, whereas the protein–protein interactions were modeled based on the extended Boolean network approach. Our model fills a gap in the binary set applied to previous models. The model simultaneously considers the stochastic process directly. Using the model, we simulated a simplified mitogen-activated protein kinase (MAPK) signaling pathway upon stimulation of both a single receptor at the initial time and multiple receptors at several time points. Our simulations showed that the signal is amplified as it travels down to the pathway from the receptor, generating substantially amplified downstream ERK activity. The noise generated by the stochastic process of protein self-activity in the model was also amplified as the signaling propagated through the pathway.

Conclusions

The signaling transduction in a simplified MAPK signaling pathway could be explained by a mathematical model based on the extended Boolean network model with a stochastic process. The model simulations demonstrated signaling amplifications when it travels downstream, which was already observed in experimental settings. We also highlight the importance of stochastic activity in regulating protein inactivation.
Gene expression profile for different susceptibilities to sound stimulation: a comparative study on brainstems between two inbred laboratory mouse strains
Authors: Zhu Lina , Chen Deng , Lin Xin , Liu Ling
Published: November 2022

Background

DBA/1 mice have a higher susceptibility to generalized audiogenic seizures (AGSz) and seizure-induced respiratory arrest (S-IRA) than C57/BL6 mice. The gene expression profile might be potentially related to this difference. This study aimed to investigate the susceptibility difference in AGSz and S-IRA between DBA/1 and C57BL/6 mice by profiling long noncoding RNAs (lncRNAs) and mRNA expression.

Methods

We compared lncRNAs and mRNAs from the brainstem of the two strains with Arraystar Mouse lncRNA Microarray V3.0 (Arraystar, Rockville, MD). Gene Ontology (GO) and pathway analyses were performed to determine the potentially related biological functions and pathways based on differentially expressed mRNAs. qRT–PCR was carried out to validate the results.

Results

A total of 897 lncRNAs and 438 mRNAs were differentially expressed (fold change ≥2, P < 0.05), of which 192 lncRNAs were upregulated and 705 lncRNAs were downregulated. A total of 138 mRNAs were upregulated, and 300 mRNAs were downregulated. In terms of specific mRNAs, Htr5b, Gabra2, Hspa1b and Gfra1 may be related to AGSz or S-IRA. Additionally, lncRNA Neat1 may participate in the difference in susceptibility. GO and pathway analyses suggested that TGF-β signaling, metabolic process and MHC protein complex could be involved in these differences. Coexpression analysis identified 9 differentially expressed antisense lncRNAs and 115 long intergenic noncoding RNAs (lincRNAs), and 2010012P19Rik and its adjacent RNA Tnfsf12-Tnfsf13 may have participated in S-IRA by regulating sympathetic neuron function. The results of the qRT–PCR of five selected lncRNAs (AK038711, Gm11762, 1500004A13Rik, AA388235 and Neat1) and four selected mRNAs (Hspa1b, Htr5b, Gabra2 and Gfra1) were consistent with those obtained by microarray.

Conclusion

We concluded that TGF-β signaling and metabolic process may contribute to the differential sensitivity to AGSz and S-IRA. Among mRNAs, Htr5b, Gabra2, Hspa1b and Gfra1 could potentially influence the susceptibility. LncRNA Neat1 and 2010012P19Rik may also contribute to the different response to sound stimulation. Further studies should be carried out to explore the underlying functions and mechanisms of differentially expressed RNAs.
Beta-PSMC: uncovering more detailed population history using beta distribution
Authors: Liu Junfeng , Ji Xianchao , Chen Hua
Published: November 2022

Background

Inferring the demographic history of a population is essential in population genetic studies. Though the inference methods based on the sequentially Markov coalescent can present the population history in detail, these methods assume that the population size remains unchanged in each time interval during discretizing the hidden state in the hidden Markov model. Therefore, these methods fail to uncover the detailed population history in each time interval.

Results

We present a new method called Beta-PSMC, which introduces the probability density function of a beta distribution with a broad variety of shapes into the Pairwise Sequentially Markovian Coalescent (PSMC) model to refine the population history in each discretized time interval in place of the assumption that the population size is unchanged. Using simulation, we demonstrate that Beta-PSMC can uncover more detailed population history, and improve the accuracy and resolution of the recent population history inference. We also apply Beta-PSMC to infer the population history of Adélie penguin and find that the fluctuation in population size is contrary to the temperature change 15–27 thousand years ago.

Conclusions

Beta-PSMC extends PSMC by allowing more detailed fluctuation of population size in each discretized time interval with the probability density function of beta distribution and will serve as a useful tool for population genetics.
DDX1 is a prognostic biomarker and correlates with immune infiltrations in hepatocellular carcinoma
Authors: Yuan Mengping , Xu Jinyong , Cao Shuguang , Sun Shuangshuang
Published: November 2022

Hepatocellular carcinoma (HCC) is one of the leading lethal malignant tumors worldwide. DEAD-box (DDX) family helicases are implicated in numerous human cancers. However, the role of DDX1 in HCC has not yet been fully elucidated. We downloaded gene expression data and clinical information data of HCC from The Cancer Genome Atlas and International Cancer Genome Consortium (ICGC) database and conducted subsequent analyses using the R package and online portal. The results revealed that HCC tissues had higher DDX1 expression compared with either paired or unpaired normal tissues. The increased DDX1 expression was closely related to the advanced pathological grade and histologic grade of HCC. Further analysis suggested that patients with high DDX1 expression contributed to poor prognosis The Cox regression analysis revealed that the expression level of DDX1 was an independent prognostic factor for HCC. In addition, an ICGC cohort was used for external validation. The cBio-Portal, MethSurv, and UALCAN database were used for evaluating the genomic mechanism. Moreover, the Tumor Immune Estimation Resource dataset and QUANTISEQ algorithm revealed that DDX1 expression positively correlates with immune infiltrating cells. We also identified the DDX1-related differentially expressed genes (DEGs) and explored their biological functions by GO, KEGG, and GSEA analyses, which indicated that DDX1 may regulate the progression of HCC. In general, increased DDX1 expression predicts a poor prognosis and drives the progression of HCC.
CaPTure: Calcium PeakToolbox for analysis of in vitro calcium imaging data
Authors: Tippani Madhavi , Pattie Elizabeth A. , Davis Brittany A. , Nguyen Claudia V. , Wang Yanhong , Sripathy Srinidhi Rao , Maher Brady J. , Martinowich Keri , Jaffe Andrew E. , Page Stephanie Cerceo
Published: November 2022

Background

Calcium imaging is a powerful technique for recording cellular activity across large populations of neurons. However, analysis methods capable of single-cell resolution in cultured neurons, especially for cultures derived from human induced pluripotent stem cells (hiPSCs), are lacking. Existing methods lack scalability to accommodate high-throughput comparisons between multiple lines, across developmental timepoints, or across pharmacological manipulations.

Results

To address this need we developed CaPTure, a scalable, automated Ca2+ imaging analysis pipeline (https://github.com/LieberInstitute/CaPTure). CaPTuredetects neurons, classifies and quantifies spontaneous activity, quantifies synchrony metrics, and generates cell- and network-specific metrics that facilitate phenotypic discovery. The method is compatible with parallel processing on computing clusters without requiring significant user input or parameter modification.

Conclusion

CaPTure allows for rapid assessment of neuronal activity in cultured cells at cellular resolution, rendering it amenable to high-throughput screening and phenotypic discovery. The platform can be applied to both human- and rodent-derived neurons and is compatible with many imaging systems.
Morphogenesis and cell wall composition of trichomes and their function in response to salt in halophyte Salsola ferganica
Authors: Liu Yanxia , Ma Yali , Aray Hanat , Lan Haiyan
Published: November 2022

Background

To survive harsh environmental conditions, desert plants show various adaptions, such as the evolution of trichomes, which are protective epidermal protrusions. Currently, the morphogenesis and function of trichomes in desert plants are not well understood. Salsola ferganica is an annual halophyte distributed in cold deserts; at the seedling stage, its rod-shaped true leaves are covered with long and thick trichomes and are affected by habitat conditions. Therefore, we evaluated the trichomes on morphogenesis and cell wall composition of S. ferganica compared to Arabidopsis thaliana and cotton, related gene expression, and preliminary function in salt accumulation of the leaves.

Results

The trichomes of S. ferganica were initiated from the epidermal primordium, followed by two to three rounds of cell division to form a multicellular trichome, while some genes associated with them were positively involved. Cell wall composition analysis showed that different polysaccharides including heavily methyl-esterified and fully de-esterified pectins (before maturation, probably in the primary wall), xyloglucans (in the mid-early and middle stages, probably in the secondary wall), and extensin (during the whole developmental period) were detected, which were different from those found in trichomes of Arabidopsis and cotton. Moreover, trichome development was affected by abiotic stress, and might accumulate salt from the mesophyll cells and secrete outside.

Conclusions

S. ferganica has multicellular, non-branched trichomes that undergo two to three rounds of cell division and are affected by abiotic stress. They have a unique cell wall composition which is different from that of Arabidopsis and cotton. Furthermore, several genes positively or negatively regulate trichome development. Our findings should contribute to our further understanding of the biogenesis and adaptation of plant accessory structures in desert plant species.
Implementing an audit and feedback cycle to improve adherence to the Choosing Wisely Canada recommendations: clustered randomized trail
Authors: Singer Alexander , Kosowan Leanne , Abrams Elissa M. , Katz Alan , Lix Lisa , Leong Katrina , Paige Allison
Published: November 2022

Background

Audit and Feedback (A&F), a strategy aimed at promoting modified practice through performance feedback, is a method to change provider behaviour and reduce unnecessary medical services. This study aims to assess the use of A&F to reduce antibiotic prescribing for viral infections and antipsychotic prescribing to patients with dementia.

Methods

Clustered randomized trial of 239 primary care providers in Manitoba, Canada, participating in the Manitoba Primary Care Research Network. Forty-six practices were randomly assigned to one of three groups: control group, intervention 1 (recommendations summary), intervention 2 (recommendations summary and personalized feedback). We assessed prescribing rates prior to the intervention (2014/15), during and immediately after the intervention (2016/17) and following the intervention (2018/19). Physician characteristics were assessed.

Results

Between 2014/15–2016/17, 91.6% of providers in intervention group 1 and 95.9% of providers in intervention group 2 reduced their antibiotic and antipsychotic prescribing rate by ≥ 1 compared to the control group (77.6%) (p-value 0.0073). This reduction was maintained into 2018/19 at 91.4%. On multivariate regression alternatively funded providers had 2.4 × higher odds of reducing their antibiotic prescribing rate compared to fee-for-service providers. In quantile regression of providers with a reduction in antibiotic prescribing, alternatively funded (e.g. salaried or locum) providers compared to fee-for-service providers were significant at the 80th quantile.

Conclusions

Both A&F and recommendation summaries sent to providers by a trusted source reduced unnecessary prescriptions. Our findings support further scale up of efforts to engage with primary care practices to improve care with A&F.

Trial registration

ClinicalTrials.gov NCT05385445, retrospectively registered, 23/05/2022.
How to create value with unobtrusive monitoring technology in home-based dementia care: a multimethod study among key stakeholders
Authors: Wrede Christian , Braakman-Jansen Annemarie , van Gemert-Pijnen Lisette
Published: November 2022

Background

There is a growing interest to support extended independent living of people with dementia (PwD) via unobtrusive monitoring (UM) technologies which allow caregivers to remotely monitor lifestyle, health, and safety of PwD. However, these solutions will only be viable if developers obtain a clear picture of how to create value for all relevant stakeholders involved and achieve successful implementation. The aim of this study was therefore to explore the value proposition of UM technology in home-based dementia care and preconditions for successful implementation from a multi-stakeholder perspective.

Methods

We conducted an expert-informed survey among potential stakeholders (n = 25) to identify key stakeholders for UM technology in home-based dementia care. Subsequently, focus groups and semi-structured interviews were conducted among 5 key stakeholder groups (n = 24) including informal caregivers (n = 5), home care professionals (n = 5), PwD (n = 4), directors and managers within home care (n = 4), and policy advisors within the aged care and health insurance sector (n = 6). The sessions addressed the value proposition- and business model canvas and were analyzed using thematic analysis.

Results

Stakeholders agreed that UM technology should provide gains such as objective surveillance, timely interventions, and prevention of unnecessary control visits, whereas pains mainly included information overload, unplannable care due to real-time monitoring, and less human interaction. The overall design-oriented need referred to clear situation classifications including urgent care (fall- and wandering detection), non-urgent care (deviations in eating, drinking, sleeping), and future care (risk predictions). Most important preconditions for successful implementation of UM technology included inter-organizational collaboration, a shared vision on re-shaping existing care processes, integrated care ICT infrastructures, clear eligibility criteria for end-users, and flexible care reimbursement systems.

Conclusions

Our findings can guide the value-driven development and implementation of UM technology for home-based dementia care. Stakeholder values were mostly aligned, although stakeholders all had their own perspective on what UM technology should accomplish. Besides, our study highlights the complexity of implementing novel UM technology in home-based dementia care. To achieve successful implementation, organizational and financial preconditions, as well as digital data exchange between home care organizations, will be important.
Understanding older patients’ willingness to have medications deprescribed in primary care: a protocol for a cross-sectional survey study in nine European countries
Authors: Lüthold Renata Vidonscky , Jungo Katharina Tabea , Weir Kristie Rebecca , Geier Anne-Kathrin , Scholtes Beatrice , Kurpas Donata , Wild Dorothea M. G. , Petrazzuoli Ferdinando , Thulesius Hans , Lingner Heidrun , Assenova Radost , Poortvliet Rosalinde K. E. , Lazic Vanja , Rozsnyai Zsofia , Streit Sven
Published: November 2022

Introduction

To reduce inappropriate polypharmacy, deprescribing should be part of patients’ regular care. Yet deprescribing is difficult to implement, as shown in several studies. Understanding patients’ attitudes towards deprescribing at the individual and country level may reveal effective ways to involve older adults in decisions about medications and help to implement deprescribing in primary care settings. In this study we aim to investigate older adults’ perceptions and views on deprescribing in different European countries. Specific objectives are to investigate the patients’ willingness to have medications deprescribed by medication type and to have herbal or dietary supplements reduced or stopped, the role of the Patient Typology (on medication perspectives), and the impact of the patient-GP relationship in these decisions.

Methods and analysis

This cross-sectional survey study has two parts: Part A and Part B. Data collection for Part A will take place in nine countries, in which per country 10 GPs will recruit 10 older patients (≥65 years old) each (n = 900). Part B will be conducted in Switzerland only, in which an additional 35 GPs will recruit five patients each and respond to a questionnaire themselves, with questions about the patients’ medications, their willingness to deprescribe those, and their patient-provider relationship. For both Part A and part B, a questionnaire will be used to assess the willingness of older patients with polypharmacy to have medications deprescribed and other relevant information. For Part B, this same questionnaire will have additional questions on the use of herbal and dietary supplements.

Discussion

The international study design will allow comparisons of patient perspectives on deprescribing from different countries. We will collect information about willingness to have medications deprescribed by medication type and regarding herbal and dietary supplements, which adds important information to the literature on patients’ preferences. In addition, GPs in Switzerland will also be surveyed, allowing us to compare GPs’ and patients’ views and preferences on stopping or reducing specific medications. Our findings will help to understand patients’ attitudes towards deprescribing, contributing to improvements in the design and implementation of deprescribing interventions that are better tailored to patients’ preferences.
Clinical study on the use of advanced magnetic resonance imaging in lupus nephritis
Authors: Chen Yan-Xia , Zhou Wa , Ye Yin-Quan , Zeng Lei , Wu Xian-Feng , Ke Ben , Peng Hao , Fang Xiang-Dong
Published: November 2022

Objectives

To investigate the correlation between the histopathology of the kidney and clinical indicators in patients with lupus nephritis (LN) using magnetic resonance imaging (MRI).

Methods

A total 50 female participants were enrolled in the study. Thirty patients with LN were divided into types 2, 3, 4, and 5, according to their pathological features. The control group consisted of 20 healthy female volunteers. Serum creatinine, C3, C1q, and anti-ds-DNA were measured. Conventional MRI, DTI, DWI, and BOLD scanning was performed to obtain the FA, ADC, and R2* values for the kidney.

Results

Compared with the control group, FA and the ADC were decreased in patients with LN, while the R2* value was increased (P < 0.05). The overall comparison of the SLEDAI (Activity index of systemic lupus erythematosus) score, total pathological score, AI, and serum creatinine C3 showed that these were significantly different between the two groups (P < 0.05). FA and the ADC were negatively correlated with urinary, blood ds-DNA, and serum creatinine and positively correlated with C1q (P < 0.05). The R2* value was positively correlated with urinary NGAL, blood ds-DNA, and serum creatinine (P < 0.05). FA and the ADC were negatively correlated with the SLEDAI score, total pathological score, AI, CI, nephridial tissue C3, and C1q. The R2* value was positively correlated with the SLEDAI score, total pathological score, AI, CI, nephridial tissue C3, and C1q (P < 0.05).

Conclusions

MRI examination in female patients with LN was correlated with pathologic test results, which may have clinical significance in determining the disease’s severity, treatment, and outcome.
Monitoring one heart to help two: heart rate variability and resting heart rate using wearable technology in active women across the perinatal period
Authors: Rowan Shon P. , Lilly Christa L. , Claydon Elizabeth A. , Wallace Jenna , Merryman Karen
Published: November 2022

Background

Characterizing normal heart rate variability (HRV) and resting heart rate (RHR) in healthy women over the course of a pregnancy allows for further investigation into disease states, as pregnancy is the ideal time period for these explorations due to known decreases in cardiovascular health. To our knowledge, this is the first study to continuously monitor HRV and RHR using wearable technology in healthy pregnant women.

Methods

A total of 18 healthy women participated in a prospective cohort study of HRV and RHR while wearing a WHOOP® strap prior to conception, throughout pregnancy, and into postpartum. The study lasted from March 2019 to July 2021; data were analyzed using linear mixed models with splines for non-linear trends.

Results

Eighteen women were followed for an average of 405.8 days (SD = 153). Minutes of logged daily activity decreased from 28 minutes pre-pregnancy to 14 minutes by third trimester. A steady decrease in daily HRV and increase in daily RHR were generally seen during pregnancy (HRV Est. = − 0.10, P < 0.0001; RHR Est. = 0.05, P < 0.0001). The effect was moderated by activity minutes for both HRV and RHR. However, at 49 days prior to birth there was a reversal of these indices with a steady increase in daily HRV (Est. = 0.38, P < 0.0001) and decrease in daily RHR (Est. = − 0.23, P < 0.0001), regardless of activity level, that continued into the postpartum period.

Conclusions

In healthy women, there were significant changes to HRV and RHR throughout pregnancy, including a rapid improvement in cardiovascular health prior to birth that was not otherwise known. Physical activity minutes of any type moderated the known negative consequences of pregnancy on cardiovascular health. By establishing normal changes using daily data, future research can now evaluate disease states as well as physical activity interventions during pregnancy and their impact on cardiovascular fitness.
Artificial rupture of membranes as a mode for induction of labor in women with a previous cesarean section- a retrospective cohort study
Authors: Dick Aharon , Gutman-Ido Einat , Chill Henry Hillel , Karavani Gilad , Ryvkin Ina , Porat Shay , Rosenbloom Joshua Isaac
Published: November 2022

Background

Induction of labor in women with a previous cesarean section (CS) is associated with increased rates of uterine rupture and failed attempt for vaginal delivery. Prostaglandins use is contraindicated in this population, limiting available options for cervical ripening.

Objective

To evaluate the efficacy and safety of artificial rupture of membranes (AROM) as a mode of Induction of labor (IOL) in women with a previous cesarean section.

Methods

A retrospective cohort study conducted in a single tertiary care center between January 2015 and October 2020. Women with one previous cesarean section and a current singleton term pregnancy requiring IOL, with an unfavorable cervix, were included. The primary outcome was a successful vaginal delivery (VBAC); secondary outcomes were rates of chorioamnionitis, uterine rupture and low Apgar score (< 7).

Results

Of the 665 women who met the inclusion criteria, 492 (74%) did not receive subsequent oxytocin and 173 (26%) did. There were significant differences in the baseline characteristics between these two groups, including maternal age, cervical dilation at presentation, parity, and a history of a previous VBAC. Among women who were induced solely by AROM the rate of a successful TOLAC was higher (81.3% vs 73.9%), total time of IOL was shorter (mean 8.7 h vs.16.1 h) and the risk of chorioamnionitis was lower (7.3% vs 18.4%). When subdividing the women who received oxytocin into early (< 12 h after AROM) vs late (> 12 h after AROM) administration, there were no significant changes in the rates of successful VBAC or of chorioamnionitis.

Conclusion

AROM as a single mode of IOL in women with a previous CS is a safe and efficient practice with high rates of successful VBAC. When spontaneous labor does not develop, there is no advantage to delay the administration of oxytocin.