bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term Prognosis of Vision Loss Caused by Facial Hyaluronic Acid Injections and the Potential Approaches to Address This Catastrophic Event
Authors: Zhang Lei , Zhou Qingyi , Xu Hong , Gu Qinhao , Shi Hangyan , Pan Lei , Sun Yi , Wu Sufan 
Published: December 2022

Abstract

Background
Vision loss is a serious complication of hyaluronic acid (HA) filler injections, and long-term observations regarding the prognosis, particularly with angiography, are rare.

Objectives
This study aimed to investigate the long-term prognosis and living status of patients with visual defects due to HA filler injections.

Methods
Nine patients with vision loss caused by HA filler injections and receiving different treatments were included and followed up for 2 to 6 years after their accident. Follow-ups, including outpatient ophthalmologic examinations, were performed.

Results
In the follow-up observation, all patients had reintegrated into society and work. The prognosis was similar for all hyaluronidase treatments, including retrobulbar injections and superselective ophthalmic artery thrombolysis. The facial appearance was not remarkably affected, and only 3 patients reported slight scarring. Ptosis disappeared in all the patients, and slight strabismus was found in 5 patients. However, vision improvement was very limited, even in the patients whose occluded retinal central artery received reperfusion.

Conclusions
This long-term follow-up showed that the patients with vision loss caused by HA filler injections could reintegrate into society after treatment. Although the embolization of the retinal central artery led to reperfusion, vision was not restored, which further demonstrated the difficulty of recovering vision with the current treatment and the importance of prophylaxis. Autohydrolysis of HA by incorporating hyaluronidase-containing stimuli-responsive nanoparticles and a dual-pipe syringe are potential future approaches to address this catastrophic event.
Efficacy of Cold Tumescent for Prevention of Intraoperative Bleeding in Patients Undergoing Liposuction: A Double-Blind Randomized Controlled Trial–Half-Side Comparison
Authors: Pruksapong Chatchai , Buarabporn Naphan , Junkajorn Suttisan 
Published: December 2022

Abstract

Background
Bleeding, a common intraoperative complication of liposuction, often causes pain and discomfort during recovery. Because of the vasoconstrictive effect of adrenaline in the tumescent solution, bleeding can be reduced; however, reports of postoperative bleeding persist. Cold temperatures also have a vasoconstrictive effect.

Objectives
This study aimed to determine the efficacy of cold tumescent solution in preventing and reducing intraoperative bleeding.

Methods
This prospective randomized controlled trial was conducted between June 2018 and June 2019. The liposuction areas in each participant were divided into left and right sides; one side received operative room temperature tumescent solution (25 °C), and the other side received low-temperature tumescent solution (4 °C). The areas of ecchymosis, pain scores, and patient and surgeon satisfaction scores were compared and analyzed.

Results
Ten patients with 36 pairs of liposuction areas were enrolled in the study. Cold tumescent liposuction resulted in a significantly lower lipocrit than was obtained on the standard tumescent side (1.56 ± 0.69 vs 2.92 ± 0.94; P &lt; .001). The ecchymosis area and pain score were significantly lower in the cold tumescent group on days 2, 4, 7, and 14. The satisfaction evaluation scores did not differ between patients and surgeons at 12 months postoperatively.

Conclusions
The use of cold tumescent anesthesia significantly improved liposuction outcomes by reducing the intraoperative blood loss and the postoperative ecchymosis and pain, with no immediate or short-term complications in low-volume liposuction (&lt;1000 mL) procedures. Furthermore, it generated a standard outcome and good patient satisfaction scores.

Level of Evidence: 2
The Retention-Rate Improvement of Stromal Vascular Fraction Gel in Prefrontal Filling With Botulinum Toxin-A Injection: A Retrospective Analysis
Authors: Wang Zhizhou , Cheng Rong , Du Yuyang , Chen Xinyao , Li Rou , Hao Lijun , Luo Sai 
Published: December 2022

Abstract

Background
As a derivative of adipose tissues, stromal vascular fraction gel has been widely utilized in facial soft tissue filling, but it still does not achieve the expected effect in forehead filling. The reason may be related to the corrugator muscles movements.

Objectives
The authors aimed to evaluate the effect of botulinum toxin-A (BTX-A) on the retention rate of stromal vascular fraction gel by limiting the corrugator muscles movements and to provide a theoretical basis that short-term inhibition of movement in the affected area could improve the effects of the fat graft.

Methods
From January 2019 to June 2021, patients with stromal vascular fraction gel facial filling (including frontal and temporal parts) were selected. According to whether or not BTX-A treatment was received, patients were divided into injected and the noninjected groups. A questionnaire and the Global Aesthetic Improvement Scale (GAIS) were administered to evaluate 2-dimensional photos. The retention rate and curvature were calculated with 3-dimensional images utilizing Artec Studio 13 Professional and MATLAB software.

Results
The graft retention, forehead curvature, and GAIS scores were all higher in the injected group than the noninjected group (P &lt; .01). On the questionnaire, the injected group also showed more satisfaction with the treatment effect and were more willing to recommend the treatment to their friends.

Conclusions
BTX-A injection can improve the retention rate of prefrontal stromal vascular fraction gel filling, with higher patient satisfaction and better postoperative effects.

Level of Evidence: 5
An arachnid’s guide to being an ant: morphological and behavioral mimicry in ant-mimicking spiders
Authors: Subramaniam Nimish , Tamma Krishnapriya , Uma Divya 
Published: December 2022

Abstract
Batesian mimicry imposes several challenges to mimics and evokes adaptations in multiple sensory modalities. Myrmecomorphy, morphological and behavioral resemblance to ants, is seen in over 2000 arthropod species. Ant-like resemblance is observed in at least 13 spider families despite spiders having a distinct body plan compared to ants. Quantifying the extent to which spiders’ shape, size, and behavior resemble model ants will allow us to comprehend the evolutionary pressures that have facilitated myrmecomorphy. Myrmaplata plataleoides are thought to closely resemble weaver ants, Oecophylla smaragdina. In this study, we quantify the speed of movement of model, mimic, and non-mimetic jumping spiders. We use traditional and geometric morphometrics to quantify traits such as foreleg size and hindleg size, body shape between the model ant, mimic, and non-mimics. Our results suggest that while the mimics closely resemble the model ants in speed of movement, they occupy an intermediate morphological space compared to the model ants and non-mimics. Ant-mimicking spiders are better at mimicking ants’ locomotory movement than morphology and overall body shape. Some traits may compensate others, suggesting differential selection on these mimetic traits. Our study provides a framework to understand the multimodal nature of mimicry and helps discern the relative contributions of such traits that drive mimetic accuracy in ant-mimicking spiders.
ManyFold: an efficient and flexible library for training and validating protein folding models
Authors: Villegas-Morcillo Amelia , Robinson Louis , Flajolet Arthur , Barrett Thomas D 
Published: December 2022

Abstract

Summary
ManyFold is a flexible library for protein structure prediction with deep learning that (i) supports models that use both multiple sequence alignments (MSAs) and protein language model (pLM) embedding as inputs, (ii) allows inference of existing models (AlphaFold and OpenFold), (iii) is fully trainable, allowing for both fine-tuning and the training of new models from scratch and (iv) is written in Jax to support efficient batched operation in distributed settings. A proof-of-concept pLM-based model, pLMFold, is trained from scratch to obtain reasonable results with reduced computational overheads in comparison to AlphaFold.

Availability and implementation
The source code for ManyFold, the validation dataset and a small sample of training data are available at https://github.com/instadeepai/manyfold.

Supplementary information
Supplementary data are available at Bioinformatics online.
Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models
Authors: Weilandt Daniel R , Salvy Pierre , Masid Maria , Fengos Georgios , Denhardt-Erikson Robin , Hosseini Zhaleh , Hatzimanikatis Vassily 
Published: December 2022

AbstractMotivationLarge-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and analyze large-scale models efficiently. The toolbox presented here provides the means to implement, parameterize and analyze large-scale kinetic models intuitively and efficiently.ResultsWe present a Python package (SKiMpy) bridging this gap by implementing an efficient kinetic modeling toolbox for the semiautomatic generation and analysis of large-scale kinetic models for various biological domains such as signaling, gene expression and metabolism. Furthermore, we demonstrate how this toolbox is used to parameterize kinetic models around a steady-state reference efficiently. Finally, we show how SKiMpy can implement multispecies bioreactor simulations to assess biotechnological processes.Availability and implementationThe software is available as a Python 3 package on GitHub: https://github.com/EPFL-LCSB/SKiMpy, along with adequate documentation.Supplementary informationSupplementary data are available at Bioinformatics online.
DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach
Authors: Agarwal Aman , Chen Li 
Published: December 2022

Abstract

Motivation
Promoter-centered chromatin interactions, which include promoter–enhancer (PE) and promoter–promoter (PP) interactions, are important to decipher gene regulation and disease mechanisms. The development of next-generation sequencing technologies such as promoter capture Hi-C (pcHi-C) leads to the discovery of promoter-centered chromatin interactions. However, pcHi-C experiments are expensive and thus may be unavailable for tissues/cell types of interest. In addition, these experiments may be underpowered due to insufficient sequencing depth or various artifacts, which results in a limited finding of interactions. Most existing computational methods for predicting chromatin interactions are based on in situ Hi-C and can detect chromatin interactions across the entire genome. However, they may not be optimal for predicting promoter-centered chromatin interactions.

Results
We develop a supervised multi-modal deep learning model, which utilizes a comprehensive set of features such as genomic sequence, epigenetic signal, anchor distance, evolutionary features and DNA structural features to predict tissue/cell type-specific PE and PP interactions. We further extend the deep learning model in a multi-task learning and a transfer learning framework and demonstrate that the proposed approach outperforms state-of-the-art deep learning methods. Moreover, the proposed approach can achieve comparable prediction performance using predefined biologically relevant tissues/cell types compared to using all tissues/cell types in the pretraining especially for predicting PE interactions. The prediction performance can be further improved by using computationally inferred biologically relevant tissues/cell types in the pretraining, which are defined based on the common genes in the proximity of two anchors in the chromatin interactions.

Availability and implementation
https://github.com/lichen-lab/DeepPHiC.

Supplementary information
Supplementary data are available at Bioinformatics online.
Virtual wobble spaces: A pilot study of the outcomes of online therapeutic spaces on practitioner well-being and social work practice
Authors: Turner Denise , Linton Andrew 
Published: December 2022

Abstract
Stress, emotional exhaustion and job dissatisfaction have been prevailing issues in social work for decades, with recent research by BASW demonstrating poor psychological outcomes for social workers, amidst inadequate levels of staff retention and high burn out rates. The Covid-19 pandemic added to these existing stresses, with social workers experiencing multiple losses, including bereavements and changes to working practices. As a response to the pandemic, many hospitals and health care settings established bespoke wobble spaces, dedicated to enhancing staff well-being. However, despite the reported success of these wobble spaces, results from a literature review show that they have not been established within social work. The pilot study discussed in this article explored and evaluated the impacts of a virtual wobble space provided for social workers over three months at fortnightly intervals. The research design was purposefully creative and aimed at focussing on positivity and fun as a counter to much of the existing literature on stress and burnout in social work. The study is limited by a small sample size but nevertheless the unanimously positive findings and wider interest, suggest there may be a broader role for wobble space provision in social work.
Within-Person and Between-Sensor Variability in Continuous Glucose Monitoring Metrics
Authors: Selvin Elizabeth , Wang Dan , Rooney Mary R , Fang Michael , Echouffo-Tcheugui Justin B , Zeger Scott , Sartini Joseph , Tang Olive , Coresh Josef , Nisha Aurora R , Punjabi Naresh M 
Published: December 2022

Abstract

Background
The within-person and between-sensor variability of metrics from different interstitial continuous glucose monitoring (CGM) sensors in adults with type 2 diabetes not taking insulin is unclear.

Methods
Secondary analysis of data from 172 participants from the Hyperglycemic Profiles in Obstructive Sleep Apnea randomized clinical trial. Participants simultaneously wore Dexcom G4 and Abbott Libre Pro CGM sensors for up to 2 weeks at baseline and again at the 3-month follow-up visit.

Results
At baseline (up to 2 weeks of CGM), mean glucose for both the Abbott and Dexcom sensors was approximately 150 mg/dL (8.3 mmol/L) and time in range (70180 mg/dL [3.910.0 mmol/L]) was just below 80. When comparing the same sensor at 2 different time points (two 2-week periods, 3 months apart), the within-person coefficient of variation (CVw) in mean glucose was 17.4 (Abbott) and 14.2 (Dexcom). CVw for percent time in range: 20.1 (Abbott) and 18.6 (Dexcom). At baseline, the Pearson correlation of mean glucose from the 2 sensors worn simultaneously was r 0.86, root mean squared error (RMSE), 13 mg/dL (0.7 mmol/L); for time in range, r 0.88, RMSE, 8 percentage points.

Conclusions
Substantial variation was observed within sensors over time and across 2 different sensors worn simultaneously on the same individuals. Clinicians should be aware of this variability when using CGM technology to make clinical decisions.
ClinicalTrials.gov Identifier: NCT02454153.
Dissimilarity in coagulation system in adults after Fontan surgery based on thrombin generations
Authors: Skorek Paweł , Skubera Maciej , Natorska Joanna , Ząbczyk Michał , Trojnarska Olga , Pająk Jacek , Mazurek-Kula Anna , Bartczak-Rutkowska Agnieszka , Podolec Piotr , Tomkiewicz-Pająk Lidia 
Published: December 2022

Abstract

OBJECTIVES
The Fontan procedure is the treatment of choice in congenital cardiac malformations defined as the single ventricle. Fontan patients are at high risk of thromboembolism, but the exact mechanism of this is poorly understood. The aim of this study was to evaluate an involvement of thrombin generations and microparticles (MPs) in prothrombotic state in adults with Fontan circulation.

METHODS
This study included hospitalized patients after Fontan procedure and healthy volunteers. We assessed laboratory tests including thrombin generation by calibrated automated thrombography in three variants [platelet-poor plasma (impact of coagulation factors), platelet-rich plasma (PRP) (influence of platelets) and related with MPs]. The technique allows for a comprehensive evaluation of the coagulation system.

RESULTS
The study groups consisted of 81 adult Fontan patients [41 females (50.6%); median age 22 interquartile range [20–27] years] and 54 control subjects. In patients with Fontan circulation, higher values of endogenous thrombin potential and peak values were observed for both platelet-poor plasma (+17% and +33%) and MPs (+29% and 41%) compared to controls (all P &lt; 0.05). Moreover, in the Fontan group, we found a 64.9% shorter lag time and a 70.4% time to peak for MP variant (both P &lt; 0.001). Contrarily, analysis in the PRP showed 17.1% of reduced endogenous thrombin potential in Fontan. Furthermore, there were no differences in thrombin synthesis in PRP in Fontan patients receiving aspirin or those with thrombocytopaenia (all P &gt; 0.05).

CONCLUSIONS
This study for the first time showed that thrombin generation associated with MPs may be an important contributor to the prothrombotic state in the Fontan population.
Terminal ear 1 and phytochromes B1/B2 regulate maize leaf initiation independently
Authors: Busche Michael , Hake Sarah , Brunkard Jacob O 
Published: December 2022

Abstract
Higher plants generate new leaves from shoot meristems throughout their vegetative lifespan. The tempo of leaf initiation is dynamically regulated by physiological cues, but little is known about the underlying genetic signaling pathways that coordinate this rate. Two maize (Zea mays) mutants, terminal ear1 (te1) and phytochrome B1;phytochrome B2 (phyB1;phyB2), oppositely affect leaf initiation rates and total leaf number at the flowering time: te1 mutants make leaves faster whereas phyB1;phyB2 mutants make leaves slower than wild-type plants. To test whether PhyB1, PhyB2, and TE1 act in overlapping or distinct pathways to regulate leaf initiation, we crossed te1 and phyB1;phyB2 created an F2 population segregating for these three mutations and quantified various phenotypes among the resulting genotypes, including leaf number, leaf initiation rate, plant height, leaf length, leaf width, number of juvenile leaves, stalk diameter, and dry shoot biomass. Leaf number and initiation rate in phyB1;phyB2;te1 plants fell between the extremes of the two parents, suggesting an additive genetic interaction between te1 and phyB1;phyB2 rather than epistasis. Therefore, we conclude that PhyB1, PhyB2, and TE1 likely control leaf initiation through distinct signaling pathways.
On the measurement ofSdiff splitting caused by lowermost mantle anisotropy
Authors: Wolf Jonathan , Long Maureen D , Creasy Neala , Garnero Edward 
Published: December 2022

SUMMARYSeismic anisotropy has been detected at many depths of the Earth, including its upper layers, the lowermost mantle and the inner core. While upper mantle seismic anisotropy is relatively straightforward to resolve, lowermost mantle anisotropy has proven to be more complicated to measure. Due to their long, horizontal ray paths along the core–mantle boundary (CMB), S waves diffracted along the CMB (Sdiff) are potentially strongly influenced by lowermost mantle anisotropy. Sdiff waves can be recorded over a large epicentral distance range and thus sample the lowermost mantle everywhere around the globe. Sdiff therefore represents a promising phase for studying lowermost mantle anisotropy; however, previous studies have pointed out some difficulties with the interpretation of differential SHdiff–SVdiff traveltimes in terms of seismic anisotropy. Here, we provide a new, comprehensive assessment of the usability of Sdiff waves to infer lowermost mantle anisotropy. Using both axisymmetric and fully 3-D global wavefield simulations, we show that there are cases in which Sdiff can reliably detect and characterize deep mantle anisotropy when measuring traditional splitting parameters (as opposed to differential traveltimes). First, we analyze isotropic effects on Sdiff polarizations, including the influence of realistic velocity structure (such as 3-D velocity heterogeneity and ultra-low velocity zones), the character of the lowermost mantle velocity gradient, mantle attenuation structure, and Earth’s Coriolis force. Secondly, we evaluate effects of seismic anisotropy in both the upper and the lowermost mantle on SHdiff waves. In particular, we investigate how SHdiff waves are split by seismic anisotropy in the upper mantle near the source and how this anisotropic signature propagates to the receiver for a variety of lowermost mantle models. We demonstrate that, in particular and predictable cases, anisotropy leads to Sdiff splitting that can be clearly distinguished from other waveform effects. These results enable us to lay out a strategy for the analysis of Sdiff splitting due to anisotropy at the base of the mantle, which includes steps to help avoid potential pitfalls, with attention paid to the initial polarization of Sdiff and the influence of source-side anisotropy. We demonstrate our Sdiff splitting method using three earthquakes that occurred beneath the Celebes Sea, measured at many transportable array stations at a suitable epicentral distance. We resolve consistent and well-constrained Sdiff splitting parameters due to lowermost mantle anisotropy beneath the northeastern Pacific Ocean.
Ambient temperature during pregnancy and fetal growth in Eastern Massachusetts, USA
Authors: Leung Michael , Laden Francine , Coull Brent A , Modest Anna M , Hacker Michele R , Wylie Blair J , Iyer Hari S , Hart Jaime E , Wei Yaguang , Schwartz Joel , Weisskopf Marc G , Papatheodorou Stefania 
Published: December 2022

Abstract

Background
Left unabated, rising temperatures pose an escalating threat to human health. The potential effects of hot temperatures on fetal health have been under-explored. Here, we examined the association between prenatal ambient temperature exposure and fetal growth measures in a Massachusetts-based pregnancy cohort.

Methods
We used ultrasound measurements of biparietal diameter (BPD), head circumference (HC), femur length and abdominal circumference (AC), in addition to birthweight (BW), from 9446 births at Beth Israel Deaconess Medical Center from 2011 to 2016. Ultrasound scans were classified into three distinct gestational periods: 16–23 weeks, 24–31 weeks, 32+ weeks; and z-scores were created for each fetal growth measure using the INTERGROWTH-21st standards. We fitted distributed lag models to estimate the time-varying association between weekly temperature and fetal growth, adjusting for sociodemographic characteristics, seasonal and long-term trends, humidity and particulate matter (PM2.5).

Results
Higher ambient temperature was associated with smaller fetal growth measures. The critical window of exposure appeared to be Weeks 1–20 for ultrasound parameters, and high temperatures throughout pregnancy were important for BW. Associations were strongest for head parameters (BPD and HC) in early to mid-pregnancy, AC late in pregnancy and BW. For example, a 5ºC higher cumulative temperature exposure was associated with a lower mean AC z-score of -0.26 (95% CI: -0.48, -0.04) among 24–31-Week scans, and a lower mean BW z-score of -0.32 (95% CI: -0.51, -0.12).

Conclusion
Higher temperatures were associated with impaired fetal growth. This has major health implications given that extreme temperatures are more common and escalating.