bluuebunny/crossref_metadata_2025_split huggingface dataset:
In situ grown three-dimensional porous Co3O4/graphdiyne oxide hybrid nanomaterials with sea urchin-like structures for high-performance zinc–air batteries
Authors: Zhu Yingfu , Zhang Xiuli , Liang Na , Guo Jixi , Guo Renhe , Liu Huibiao 
Published: June 2023

Abstract
As a promising energy conversion system, zinc air battery (ZAB) usually suffers from short cycle life and poor reversibility due to the slow kinetics of the redox reaction on the air cathode, making it a big-barriers in practical applications. Herein, three-dimensional (3D) porous Co3O4/graphdiyne oxide (GDYO) hybrid nanomaterials with sea urchin-like structures have been prepared by in-situ epitaxial growth. The 3D porous Co3O4/GDYO hybrid nanomaterials with sea urchin-like structures expand the larger contact area between the electrolyte and the electrode, which provide abundant channels for ion diffusion and electron transport with enhanced charge transfer kinetics and structural stability. The 3D porous Co3O4/GDYO hybrid nanomaterials with sea urchin-like structures shows excellent bifunctional electrocatalytic activity for both oxygen evolution reaction (OER) (onset potential of 1.38 V, overpotential of 335 mV at 10 mA cm−2) and oxygen reduction reaction (ORR) (onset potential of 0.84 V, half-wave potential of 0.6 V). ZABs fabricated with 3D porous Co3O4/GDYO hybrid nanomaterials as cathode display a high power density of 96 m W cm−2, an open circuit voltage of 1.53 V, as well as a specific capacity of 799.5 mA h g−1 (at 10 mA cm−2) and a corresponding energy density of 965 Wh kg−1. Further, its charge and discharge voltages remain stable for over 400 h at a constant current charge–discharge cycling of 3 mA cm−2. This work offers novel insights on developing excellent bifunctional electrocatalysts for both OER and ORR, which expands a new application of GDYO on ZABs.
Additively fabricated on-skin sensors for mechanical and thermal biosignal monitoring
Authors: Laurila Mika-Matti 
Published: June 2023

Abstract
Continuous biosignal monitoring with on-skin worn sensor devices enables out-of-hospital patient monitoring (i.e. ubiquitous healthcare), which has high potential to reduce various disease-related societal costs through large-scale screening of disease risk groups. However, novel fabrication methods need to be adopted to enable the required large-scale deployment of such devices. Additive fabrication technologies have emerged as potential candidates to meet this challenge due to their low material consumption, scalability, and compatibility with skin-conformable low Tg
polymeric substrates. This review article discusses recent advances in additively fabricated on-skin biosignal sensors and focuses on the following topics: (1) available additive fabrication technologies; (2) on-skin measurable mechanical and thermal biosignals and related additively fabricated biosignal sensors; and (3) the emerging field of printed electronic tattoo (e-tattoo)-type mechanical and thermal biosignal sensors.
Understanding the problem of digital medication inventory visibility in health systems
Authors: Ashemore Arlin W , Akrap Antonia , Aschermann Lauren , Irvine Clayton , Foley Joshua , Scheper John David , Tarpey Ryan , Stevenson James G 
Published: June 2023

Abstract

Purpose
This project describes and quantifies the perceived degree of digital visibility to medication inventory throughout 6 large health systems.

Methods
In this project, 6 large health systems evaluated their physical medication inventory for digital visibility, or the degree to which physical medication inventory information is viewable in electronic systems, during a 2-year period (2019-2020). Inventory reports included medication items with either a National Drug Code (NDC) or a unique institutional identifier. Physical inventory reports contained the medication item name and a corresponding NDC or identifier, the quantity on hand, and the physical locations and the storage environments of the inventory items at the time of the audit. Investigators independently reviewed physical inventory reports and categorized medication line items by degree of digital visibility: (1) no digital visibility, (2) partial digital visibility without accurate quantities, (3) partial digital visibility with accurate quantities, or (4) full digital visibility. Data were anonymized, aggregated, and analyzed to characterize the degree of digital visibility across the health systems and to identify locations and storage environments where the greatest improvement is needed.

Results
Overall, less than 1% of medication inventory was judged to have full digital visibility. The majority of the evaluated inventory items were categorized as having partial digital visibility, with or without accurate quantities. Analysis by both units of inventory and inventory valuation indicated that only 30% to 35% of inventory had full digital visibility or partial digital visibility with accurate quantities.

Conclusion
Most of the medication inventory within 6 large academic centers is either not digitally visible or partially digitally visible but without accurate quantities. Full digital visibility of inventory is rare. Better digital visibility can minimize disruption from recalls and decrease waste. Technology vendors and health systems must collaborate to develop improved automation and systems to make medications on hand more digitally visible.
Fertile Goeppertella from the Jurassic of Patagonia: mosaic evolution in the Dipteridaceae-Matoniaceae lineage
Authors: Yañez Agustina , Escapa Ignacio H , Choo Thereis Y S 
Published: June 2023

Abstract
Goeppertella has been postulated as a monophyletic group, whose precise position within the Gleichenoid families Dipteriaceae and Matoniaceae, remains poorly understood. Previously described Goeppertella specimens are based on frond fragments and its fertile morphology is represented by a few, poorly preserved specimens. We describe a new species based on the largest collection of fertile specimens known to date and discuss the evolutionary history of the genus based on the additional reproductive characters provided by the fossils described. Plant impressions were collected in Early Jurassic sediments of Patagonia, Argentina. The specimens were described, and silicone rubber casts were developed to examine in detail vegetative and reproductive features. The new species was compared with other Goeppertella species. Finally, a backbone analysis was performed in the context of a previously published combined matrix of Dipteridaceae, using the maximum parsimony criterion. The new species is described based on a combination of features that have not been previously reported. The vegetative morphology shows affinities with most fossil and extant Dipteriaceae, contrasting with the reproductive morphology which is more comparable with the scarce number of fossil dipteridaceous forms and it is more spread in the sister family, Matoniaceae. The backbone analysis indicates that the position of the new species vary among different positions among Dipteridaceae and Matoniaceae. Additional analyses, discriminating the signal of reproductive and vegetative character, are provided to discuss the base of this uncertainty. We consider Goeppertella as a member of the family Dipteridaceae since we interpret most shared features with Matoniaceae as plesiomorphic conditions for the family. In contrast, most shared features with Dipteridaceae represent apomorphies for the group. Thus, Goeppertella would represent an early diverging genus in Dipteridaceae, considering the venation characters as the most important in order to define the family.
Projecting Podocarpaceae response to climate change: we are not out of the woods yet
Authors: Twala Thando C , Fisher Jolene T , Glennon Kelsey L 
Published: June 2023

AbstractUnder the changing climate, the persistence of Afrotemperate taxa may be threatened as suitable habitat availability decreases. The unique disjunct ranges of podocarps in southern Africa raise questions about the persistence of these species under climate change. Here, we identified likely environmental drivers of these distributions, characterized the current and future (2070) environmental niches, and projected distributions of four podocarp species in South Africa. Species distribution models were conducted using species locality data for Afrocarpus falcatus, Podocarpus latifolius, Pseudotropheus elongatus and Podocarpus henkelii and both historical climate data (1970–2000) and future climate scenarios (Representative Concentration Pathway [RCP] 4.5 and 8.5, 2061–2080) to estimate the current and future distributions. We also used this opportunity to identify the most important climatic variables that likely govern each species’ distribution. Using niche overlap estimates, a similarity test, and indices of niche expansion, stability and unfilling, we explored how niches change under different climate scenarios. The distribution of the study species was governed by the maximum temperature of the warmest month, temperature annual range, mean temperature of the wettest quarter, and precipitation of the wettest, driest and warmest quarters. The current distribution of A. falcatus was predicted to expand to higher elevations under RCP 4.5 and RCP 8.5. Podocarpus henkelii was predicted to lose most of its suitable habitat under RCP 4.5 and expand under RCP 8.5; however, this was the opposite for P. elongatus and P. latifolius. Interestingly, P. elongatus, which had the smallest geographic distribution, showed the most vulnerability to climate change in comparison to the other podocarps. Mapping the distribution of podocarps and understanding the differences in their current and future climate niches provide insight into potential climate drivers of podocarp persistence and the potential for adaptation of these species. Overall, these results suggest that P. elongatus and P. henkelii may expand to novel environmental niches.
Effect of Donor Site Selection for Fat Grafting on the Yield and Viability of the Stromal Vascular Fraction
Authors: Jovic Darko , Preradovic Ljubisa , Kremenovic Mico , Jovic Filip , Antonic Milica , Aleksic Zoran , Ljubojevic Vesna 
Published: June 2023

Abstract

Background
The efficacy of stromal vascular fraction (SVF) treatment, or stem cell treatment, directly depends on the SVF cell count and the cells’ viability. The SVF cell count and viability are in direct correlation with the adipose tissue harvesting site that yields SVF cells, making this research a contribution to developing tissue guidance.

Objectives
The aim of this study was to investigate the importance of harvesting subcutaneous adipose tissue–derived SVF cells on the concentration and viability of SVF.

Methods
Adipose tissue was collected by vibration-assisted liposuction from the regions of the upper and lower abdomen, lumbar region, and inner thigh region. With the semiautomatic UNISTATION 2nd Version system, the obtained fat was chemically processed (with collagenase enzyme) and a concentrate of SVF cells was obtained by centrifugation. These samples were then analyzed with the Luna-Stem Counter device to measure the number and viability of SVF cells.

Results
When comparing the regions of the upper abdomen, lower abdomen, lumbar region, and inner thigh, the highest concentration of SVF was found in the lumbar region, specifically at an average of 97,498.00 per 1.0 mL of concentrate. The lowest concentration was found in the upper abdominal region. When ranking the viability values, the highest cell viability of SVF was observed in the lumbar region, measuring 36.6200%. The lowest viability was found in the upper abdominal region, measuring 24.4967%.

Conclusions
By comparing the upper and lower abdominal, lumbar, and inner thigh regions, the authors have come to the conclusion that, on average, the largest number of cells with the highest viability was obtained from the lumbar region.
Dazzled by shine: gloss as an antipredator strategy in fast moving prey
Authors: Henríquez-Piskulich Patricia , Stuart-Fox Devi , Elgar Mark , Marusic Ivan , Franklin Amanda M 
Published: June 2023

AbstractPrevious studies on stationary prey have found mixed results for the role of a glossy appearance in predator avoidance—some have found that glossiness can act as warning coloration or improve camouflage, whereas others detected no survival benefit. An alternative untested hypothesis is that glossiness could provide protection in the form of dynamic dazzle. Fast moving animals that are glossy produce flashes of light that increase in frequency at higher speeds, which could make it harder for predators to track and accurately locate prey. We tested this hypothesis by presenting praying mantids with glossy or matte targets moving at slow and fast speed. Mantids were less likely to strike glossy targets, independently of speed. Additionally, mantids were less likely to track glossy targets and more likely to hit the target with one out of the two legs that struck rather than both raptorial legs, but only when targets were moving fast. These results support the hypothesis that a glossy appearance may have a function as an antipredator strategy by reducing the ability of predators to track and accurately target fast moving prey.
tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis
Authors: Keyes Timothy J , Koladiya Abhishek , Lo Yu-Chen , Nolan Garry P , Davis Kara L 
Published: June 2023

Abstract

Summary
While many algorithms for analyzing high-dimensional cytometry data have now been developed, the software implementations of these algorithms remain highly customized—this means that exploring a dataset requires users to learn unique, often poorly interoperable package syntaxes for each step of data processing. To solve this problem, we developed {tidytof}, an open-source R package for analyzing high-dimensional cytometry data using the increasingly popular ‘tidy data’ interface.

Availability and implementation
{tidytof} is available at https://github.com/keyes-timothy/tidytof and is released under the MIT license. It is supported on Linux, MS Windows and MacOS. Additional documentation is available at the package website (https://keyes-timothy.github.io/tidytof/).

Supplementary information
Supplementary data are available at Bioinformatics Advances online.
The NanoFlow Repository
Authors: Arce Jessie E , Welsh Joshua A , Cook Sean , Tigges John , Ghiran Ionita , Jones Jennifer C , Jackson Andrew , Roth Matthew , Milosavljevic Aleksandar 
Published: June 2023

AbstractMotivationExtracellular particles (EPs) are the focus of a rapidly growing area of exploration due to the widespread interest in understanding their roles in health and disease. However, despite the general need for EP data sharing and established community standards for data reporting, no standard repository for EP flow cytometry data captures rigor and minimum reporting standards such as those defined by MIFlowCyt-EV (https://doi.org/10.1080/20013078.2020.1713526). We sought to address this unmet need by developing the NanoFlow Repository.ResultsWe have developed The NanoFlow Repository to provide the first implementation of the MIFlowCyt-EV framework.Availability and implementationThe NanoFlow Repository is freely available and accessible online at https://genboree.org/nano-ui/. Public datasets can be explored and downloaded at https://genboree.org/nano-ui/ld/datasets. The NanoFlow Repository’s backend is built using the Genboree software stack that powers the ClinGen Resource, specifically the Linked Data Hub (LDH), a REST API framework written in Node.js, developed initially to aggregate data within ClinGen (https://ldh.clinicalgenome.org/ldh/ui/about). NanoFlow’s LDH (NanoAPI) is available at https://genboree.org/nano-api/srvc. NanoAPI is supported by a Node.js Genboree authentication and authorization service (GbAuth), a graph database called ArangoDB, and an Apache Pulsar message queue (NanoMQ) to manage data inflows into NanoAPI. The website for NanoFlow Repository is built with Vue.js and Node.js (NanoUI) and supports all major browsers.
3D graph contrastive learning for molecular property prediction
Authors: Moon Kisung , Im Hyeon-Jin , Kwon Sunyoung 
Published: June 2023

Abstract

Motivation
Self-supervised learning (SSL) is a method that learns the data representation by utilizing supervision inherent in the data. This learning method is in the spotlight in the drug field, lacking annotated data due to time-consuming and expensive experiments. SSL using enormous unlabeled data has shown excellent performance for molecular property prediction, but a few issues exist. (i) Existing SSL models are large-scale; there is a limitation to implementing SSL where the computing resource is insufficient. (ii) In most cases, they do not utilize 3D structural information for molecular representation learning. The activity of a drug is closely related to the structure of the drug molecule. Nevertheless, most current models do not use 3D information or use it partially. (iii) Previous models that apply contrastive learning to molecules use the augmentation of permuting atoms and bonds. Therefore, molecules having different characteristics can be in the same positive samples. We propose a novel contrastive learning framework, small-scale 3D Graph Contrastive Learning (3DGCL) for molecular property prediction, to solve the above problems.

Results
3DGCL learns the molecular representation by reflecting the molecule’s structure through the pretraining process that does not change the semantics of the drug. Using only 1128 samples for pretrain data and 0.5 million model parameters, we achieved state-of-the-art or comparable performance in six benchmark datasets. Extensive experiments demonstrate that 3D structural information based on chemical knowledge is essential to molecular representation learning for property prediction.

Availability and implementation
Data and codes are available in https://github.com/moonkisung/3DGCL.
Multiscale model of the different modes of cancer cell invasion
Authors: Ruscone Marco , Montagud Arnau , Chavrier Philippe , Destaing Olivier , Bonnet Isabelle , Zinovyev Andrei , Barillot Emmanuel , Noël Vincent , Calzone Laurence 
Published: June 2023

Abstract

Motivation
Mathematical models of biological processes altered in cancer are built using the knowledge of complex networks of signaling pathways, detailing the molecular regulations inside different cell types, such as tumor cells, immune and other stromal cells. If these models mainly focus on intracellular information, they often omit a description of the spatial organization among cells and their interactions, and with the tumoral microenvironment.

Results
We present here a model of tumor cell invasion simulated with PhysiBoSS, a multiscale framework, which combines agent-based modeling and continuous time Markov processes applied on Boolean network models. With this model, we aim to study the different modes of cell migration and to predict means to block it by considering not only spatial information obtained from the agent-based simulation but also intracellular regulation obtained from the Boolean model.

Our multiscale model integrates the impact of gene mutations with the perturbation of the environmental conditions and allows the visualization of the results with 2D and 3D representations. The model successfully reproduces single and collective migration processes and is validated on published experiments on cell invasion. In silico experiments are suggested to search for possible targets that can block the more invasive tumoral phenotypes.

Availability and implementation
https://github.com/sysbio-curie/Invasion_model_PhysiBoSS.
Critical Practices Adopted by Minority Group Social Workers Working in the Third Sector
Authors: Mahajne Ibrahim 
Published: June 2023

Abstract
The research traces the adoption of critical practices by minority group social workers working in the third sector. A phenomenological approach was employed, drawing data from semi-structured in-depth interviews with social workers from two entities composing the third sector in Arab society in Israel: dozens of volunteers from the religious Zakat committees and a large proportion (the statistics are confidential) of those employed in the secular battered women’s shelters. It was found that critical practice is context-dependent: operatively, management in both entities, religious and secular, provides conditions enabling their employees to adopt critical practices such as: decreasing workloads to a minimum; permitting maximal application of professional discretion; freeing time for direct intervention; encouraging collaborative relations with service users and learning from successes during the interventions. These social workers apply minor, daily but incremental critical practices, selecting underprivileged, excluded target populations, setting intervention goals opposing the oppressors while recognising abused women (giving voice and visibility) and redistributing material resources for the needy, employing intervention methods that see distress as a structural product, standing by their applicants and encouraging change. Structural, oppositional and activist critical practice fits the social work profession when overshadowed by ‘government failure’ in general, especially among minorities.
The ubiquitin E3 ligase MDM2 induces chemoresistance in colorectal cancer by degradation of ING3
Authors: Zhang Liangliang , Zhu Dagang , Jiang Jiwen , Min Zhenyu , Fa Zhenzhong 
Published: June 2023

Abstract
Chemoresistance is an obstacle for colorectal cancer (CRC) treatment. This study investigates the role of the ubiquitin E3 ligase MDM2 in affecting cell growth and chemosensitivity in CRC cells by modifying the transcription factor inhibitor of growth protein 3 (ING3). The expression of MDM2 and ING3 in CRC tissues was predicted by bioinformatics analysis, followed by expression validation and their interaction in CRC HCT116 and LS180 cells. Ectopic overexpression or knockdown of MDM2/ING3 was performed to test their effect on proliferation and apotptosis as well as chemosensitivity of CRC cells. Finally, the effect of MDM2/ING3 expression on the in vivo tumorigenesis of CRC cells was examined through subcutaneous tumor xenograft experiment in nude mice. MDM2 promoted ubiquitin-proteasome pathway degradation of ING3 through ubiquitination and diminished its protein stability. Overexpression of MDM2 downregulated ING3 expression, which promoted CRC cell proliferation and inhibited the apoptosis. The enhancing role of MDM2 in tumorigenesis and resistance to chemotherapeutic drugs was also confirmed in vivo. Our findings highlight that MDM2 modifies the transcription factor ING3 by ubiquitination-proteasome pathway degradation, thus reducing ING3 protein stability, which finally promotes CRC cell growth and chemoresistance.