bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recurrent Glioblastoma is Associated with a Closed DNA Conformation
Authors: Garrett Matthew , Albano Rebecca , Carnwath Troy , Shah Sanjit , Woo Daniel , Lamba Michael , Plas David , Paranjpe Aditi , Roskin Krishna , Zhao Chuntao , Lu Richard 
Published: February 2022

Abstract
Introduction: The pathological changes in epigenetics and gene regulation that accompany the progression of low-grade to high-grade gliomas are under-studied. The authors use a large set of paired atac-seq and RNA-seq data from surgically resected glioma specimens to infer gene regulatory relationships in glioma.Methods: Thirty-eight glioma patient samples underwent atac-seq sequencing and sixteen samples underwent additional RNA-seq analysis. Using an atac-seq/RNA-seq correlation matrix, atac-seq peaks were paired with genes based on high correlation values (|r2|>0.6). Results: Samples clustered by IDH1 status but not by grade. Surprisingly there was a trend for IDH1 mutant samples to have more peaks. The majority of peaks are positively correlated with survival and positively correlated with gene expression. Constructing a model of the top six atac-seq peaks created a highly accurate survival prediction model (r2=0.68). Four of these peaks were still significant after controlling for age, grade, pathology, IDH1 status and gender. Grade II, III, and IV (primary) samples have similar transcription factors and gene modules. However, grade IV (recurrent) samples have strikingly few peaks. Patient-derived glioma cultures showed decreased peak counts following radiation indicating that this may be radiation-induced.Conclusions: This study supports the notion that IDH1 mutant and IDH1 wildtype gliomas have different epigenetic landscapes and that accessible chromatin sites mapped by atac-seq peaks tend to be positively correlated with expression. The data in this study leads to a new model of treatment response wherein glioma cells respond to radiation therapy by closing open regions of DNA.
Supervised machine learning for automatic classification of in vivo burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) scanner
Authors: Khani Mahmoud E. , Harris Zachery B. , Osman Omar B. , Zhou Juin W. , Chen Andrew , Singer Adam J. , Arbab M. Hassan 
Published: February 2022

Abstract
We present an automatic classification strategy for early and accurate assessment of burn injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different severity grades, representing superficial partial-thickness (SPT), deep partial-thickness (DPT), and full-thickness (FT) wounds, were created by a standardized porcine scald model. THz spectroscopic imaging was performed using our new fiber-coupled Portable HAndheld Spectral Reflection (PHASR) scanner, incorporating a telecentric beam steering configuration and an f-\theta scanning lens. ASynchronous Optical Sampling (ASOPS) in a dual-fiber-laser THz spectrometer with 100 MHz repetition rate enabled high-speed spectroscopic measurements. Given twenty-four different samples composed of ten scald and ten contact burns and four healthy samples, supervised machine learning algorithms using THz-TDS spectra achieved areas under the receiver operating characteristic (ROC) curves of 0.88, 0.93, and 0.93 when differentiating between SPT, DPT, and FT burns, respectively, as determined by independent histological assessments. These results show the potential utility of our new broadband THz PHASR scanner for early and accurate triage of burn injuries.
Highly Active and Cheap Graphite/PTFE Composite Coating Cathodes for Electrogeneration of Hydrogen Peroxide
Authors: Wang Kang , Zhu Zhaolian , Xu Dan , Li Muyao , Yuan Shiyu , Wang Hailing 
Published: February 2022

Abstract
Using cheap graphite powder as catalyst and polytetrafluoroethylene (PTFE) as binder, graphite/PTFE composite coating cathodes were fabricated for efficient electrochemical synthesis of hydrogen peroxide (H2O2) in a no-diaphragm electrolysis system. A series of experiments were conducted to examine the influence of different factors, such as cathode thickness, cathode area, solution pH, and current density on H2O2 electrogeneration. Adjusting the thickness and area of the cathode was demonstrated to be effective in optimizing the electrocatalytic properties in oxygen reduction reaction (ORR). Among the cathodes investigated, the cathode with the thickness of 0.75 mm and area of 16 cm2 achieved the highest H2O2 accumulation and current efficiency (CE). The H2O2 accumulation reached 207.5 mg·L–1 and CE reached 34.1% in 180 min when the current density is 5 mA·cm−2 and the initial pH is 3.0. The present work successfully develops a simple approach to enhance the H2O2 electrogeneration, as well as the corresponding CE, through optimization of cathode geometric parameters and operation conditions.
A Lightweight Neural Network Model For Battery State Of Health
Authors: Zhou Danhua 
Published: February 2022

Abstract
Accurate estimation of the state of health (SOH) of lithium-ion batteries is the key to ensure the safe use of lithium-ion batteries. In practice, the application of traditional health features is hindered by incomplete charge and discharge. When the battery is stably charged, the voltage and temperature of the battery under different health states show similar spatial degradation trends. Therefore, the degradation trend of voltage and temperature is directly taken as the health characteristic sequence through the dynamic time warping barycenter averaging (DBA) clustering. In addition, a new model attention depthwise temporal convolutional network (AD-TCN) considering health characteristics is proposed for SOH estimation. Depthwise separable convolution operation is used to extend temporal convolutional network (TCN) to a model suitable for multivariate prediction. Depthwise convolution is used as feature extractor, and pointwise convolution recombines all features for regression prediction. In addition, the convolutional block attention module is used in the channel dimension and spatial dimension to selectively enhance or suppress the details. Experiments on NASA data sets show that this method has strong reliability and high prediction accuracy.
Bipolar Cell Targeted Optogenetic Gene Therapy Restores Parallel Retinal Signaling And High-Level Vision In The Degenerated Retina
Authors: Kralik Jakub , Wyk Michiel van , Stocker Nino , Kleinlogel Sonja 
Published: February 2022

Abstract
Optogenetic gene therapies to restore vision are in clinical trials. Whilst current clinical approaches target the ganglion cells, the output neurons of the retina, new molecular tools enable efficient targeting of the first order retinal interneurons, the bipolar cells, with the potential to restore a higher quality of vision. Here we investigate retinal signaling and behavioral vision in blind mice treated with bipolar cell targeted optogenetic gene therapies. All tested tools, including medium-wave opsin, Opto-mGluR6 and two new melanopsin based chimeras restored visual acuity and contrast sensitivity. The best performing opsin was a novel melanopsin-mGluR6 chimera, which in some cases restored visual acuities and contrast sensitivities that match wild-type animals. Light re- sponses from the ganglion cells were robust with diverse receptive-field types, inferring elaborate inner retinal signaling. Our results highlight the potential of bipolar cell targeted optogenetics to recover high-level vision in human patients with end-stage retinal degenerations.
Cytotoxic Activity of Ethanol Extract in Namnam Leaves (cynometra cauliflora l.) to Hela Cell
Authors: Anliza Syarah , Rachmawati Nurmeily 
Published: February 2022

Cervical cancer is one of the most prominent death cases after breast cancer for a woman in Indonesia. Several treatments can be conducted to cure cancer such as chemotherapy, radiotherapy, tumor surgery, and others. In addition, people can consume some medicines or natural substances that can suppress cancer growth. The natural substances contain active compounds that have the potential as anticancer. One of the natural substances used in this research is the Namnam leaves which grow in Southeast Asia. The purpose of this research was to determine the potential compounds in Namnam leaves extract by cytotoxic activity testing by using HeLa cells. The active compound in the Namnam leaves extract was obtained by using the maceration method with ethanol for 3x24 hours. The extract was then tested by BSLT method and proliferation by using HeLa cancer cells (ATCC CCL-2). The toxicity results showed that LC50 value was 125,89 μg/mL. This result indicated that the extract belongs to the moderate toxic category and has potential as an anticancer agent. Proliferation test in inhibiting of HeLa cancer cells used Microculture Tetrazolium Technique (MTT) method. The result showed that the extract with a concentration of 25 μg/mL could inhibit the proliferation of HeLa cancer cells by 57,51%.
The Design of Multi-target Drugs to Treat Cardiovascular Diseases: Two
(or more) Birds on One Stone
Authors: Caruso Lucas , Nadur Nathalia Fonseca , da Fonseca Marina Brandão , Peixoto Ferreira Larissa de Almeida , Lacerda Renata Barbosa , Graebin Cedric Stephan , Kümmerle Arthur Eugen 
Published: February 2022

Abstract:
Cardiovascular diseases (CVDs) comprise a group of diseases and disorders of the heart
and blood vessels, which together are the number one cause of death worldwide, being associated
with multiple genetic and modifiable risk factors, and that may directly arise from different etiologies.
For a long time, the search for cardiovascular drugs was based on the old paradigm “one compound -
one target”, aiming to obtain a highly potent and selective molecule with only one desired molecular
target. Although historically successful in the last decades, this approach ignores the multiple causes
and the multifactorial nature of CVDs. Thus, over time, treatment strategies for cardiovascular diseases
have changed, and, currently, pharmacological therapies for CVD are mainly based on the association
of two or more drugs to control symptoms and reduce cardiovascular death. In this context,
the development of multitarget drugs, i.e., compounds having the ability to act simultaneously at multiple
sites, is an attractive and relevant strategy that can be even more advantageous to achieve predictable
pharmacokinetic and pharmacodynamics correlations as well as better patient compliance. In
this review, we aim to highlight the efforts and rational pharmacological bases for the design of some
promising multitargeted compounds to treat important cardiovascular diseases like heart failure, atherosclerosis,
acute myocardial infarction, pulmonary arterial hypertension, and arrhythmia.
DNA Methylation in Depression and Depressive-Like Phenotype: Biomarker
or Target of Pharmacological Intervention?
Authors: Musazzi Laura , Paoli Caterina , Misztak Paulina , Mazzini Giulia 
Published: February 2022

Abstract:
Major depressive disorder (MDD) is a debilitating psychiatric disorder, third leading global cause of disability. As regards aetiopathogenetic mechanisms involved in the onset of depressive disorders, the interaction between genetic vulnerability traits and environmental factors is believed to play a major role. Although much is still to be elucidated about the mechanisms through which environment can interact with genetic background shaping the disease risk, there is a general agreement about a key role of epigenetic marking.
In this narrative review we focused on the association between changes in DNA methylation patterns and MDD or depressive-like phenotype in animal models, as well as mechanisms of response to antidepressant drugs. W e discussed studies presenting DNA methylation changes at specific genes of interest and profiling analyses, in both patients and animal models of depression.
Overall, we collected evidence showing that DNA methylation could not only be considered as a promising epigenetic biomarker of pathology but could also help in predicting antidepressant treatment efficacy. Finally, we discussed the hypothesis that specific changes in DNA methylation signature could play a role in aetiopathogenetic processes as well as in the induction of antidepressant effect.
The Role of Inflammation as a Preponderant Risk Factor in Cardiovascular
Diseases
Authors: García Rodrigo Damián , Asensio Joana Antonela , Perdicaro Diahann Jeanette , de los Ángeles Peral María 
Published: February 2022

Abstract:
Cardiovascular diseases cause considerable health and economic burden, as they are the leading
cause of disability and death in the western world. Inactivity, hypertension, obesity, diabetes, and
smoking are among the classic risk factors for cardiovascular disease. From a pathophysiological point
of view, the arteries of our body bear the harmful stimuli produced by these factors and respond to them
with a series of intricate adaptive mechanisms. Vascular remodeling constitutes an adaptive response to
hemodynamic and inflammatory alterations associated with hypertension, diabetes, and other illnesses.
Thickening of the arterial walls leads to endothelial dysfunction and increases the risk of cerebrovascular
and coronary events. During the last decades, antiplatelet, lipid-lowering, and antihypertensive
therapies have been the cornerstone of primary and secondary prevention of cardiovascular events.
However, it is still unknown whether their efficacy is strictly associated with the control of the classical
risk factors or their additive effects on vascular inflammation. Since inflammation of arterial walls is
related to the pathogenesis of atherosclerosis, it has been hypothesized that anti-inflammatory therapies
could prevent and treat vascular remodeling. Clinical trials based on canakinumab or hydroxychloroquine
provide further insight into the role of inflammation in the pathophysiology of cardiovascular
diseases. In this review, we have analyzed evidence and suggested that inflammation may play an important
role in the final pathway of many cardiovascular risk factors.
Zinc, Copper, Magnesium Levels in Polycystic Ovarian Syndrome Patients
Authors: Kharb Simmi , Goel Rajni , Nanda Smiti , Bhatotiya Chetna , Gaur Shweta , Khadelwal Aparna 
Published: February 2022

Background:
Polycystic ovarian syndrome (PCOS) is one of the most common endocrine
diseases, and the status of trace elements is not clear.

Aim and Objectives:
In the present cross-sectional study, the potential relationships between serum
levels of zinc, copper, magnesium, and PCOS were explored.

Materials and Methods:
One hundred participants with PCOS and 100 healthy controls were
studied. They were in the age group (15-35 years) with the same socio-demographic characteristics.
Blood samples were drawn to estimate serum zinc, copper, and magnesium levels by autoanalyzer.

Results:
Serum zinc and magnesium levels were found significantly higher among the study
group as compared to the control group. Serum copper levels were significantly lower in the
study group. Serum copper levels were significantly correlated with age and BMI among PCOS
women. Serum magnesium and zinc levels had a maximum area under the ROC curve, and the
high discriminating power of serum magnesium correlated with zinc levels for PCOS.

Conclusion:
These results suggest that trace elements have a role in the pathogenesis of PCOS
and that supplementation may help manage the disease.
Comparison of Two Types of Amino Acid Solutions on 177Lu-Dotatate
Pharmacokinetics and Pharmacodynamics in Patients with Metastatic Gastroenteropancreatic
Neuroendocrine Tumors
Authors: Chatelut Etienne , Lambert Marie , Dierickx Lawrence , Brillouet Séverine , Courbon Frédéric 
Published: February 2022

Background:
177Lu-Dotatate is used in the treatment of somatostatin-receptor-positive inoperable
progressive gastroenteropancreatic neuroendocrine tumors. A co-infusion of amino acids
(AAs) is administered to prevent renal toxicity.

Objective:
This study aimed to quantify the impact of two types of AA cocktails on the pharmacokinetics
and toxicity of 177Lu-Dotatate.

Method:
Four injections of 7400 MBq 177Lu-Dotatate were given per patient with administration
of either Primene® 10% (containing a cocktail of 20 AAs with 22g of Lysine and 16.8 g of
Arginine) or Lysakare® (containing 25 g of Lysine and 25 g of Arginine). Nine blood samples were
collected at each cycle. Radioactivity-time data were analyzed according to a population-based
model using NONMEM (version 7.4.1). Renal and hematological toxicity was evaluated after each
cycle.

Result:
1,678 177Lu-Dotatate plasma concentrations versus time were analyzed from 83 consecutive
patients with Primene® (n= 45 pts) or Lysakare® (n= 36 pts). Population pharmacokinetic analysis
showed that Primene® significantly increased the elimination rate constant of 177Lu-Dotatate as
opposed to Lysakare®. Primene® also significantly lowered Lutathera® plasma exposure (AUC) by
34%, whereas Lysakare® increased AUC by 7%. There was no renal toxicity in either case. Lymphopenia
significantly correlated with AUC (p=0.021) with a trend towards higher toxicity with
Lysakare®.

Conclusions::
Unlike Primene®, Lysakare® does not increase 177Lu-Dotatate elimination. This difference
is associated with a significant impact on AUC. The latter parameter has a high interpatient
variability but a low intrapatient variability, which could have important clinical implications for
treatment tailoring.
High-Tech Orientalism and Science Fiction Futures in Astria Suparak’s "Virtually Asian" (2021)
Authors: Forcier Kaitlin 
Published: February 2022

Multimedia artist Astria Suparak’s short video essay, Virtually Asian (2021) presents an astute critique of the racism embedded in pop-culture imaginings of the future. Weaving together footage culled from forty years of science fiction blockbusters, the supercut reveals not only how Asian actors have been used as an orientalist backdrop for white characters in these films, but that these Asian bodies are often dematerialized, represented as projections, holograms, and digital images. The piece comprises a trenchant follow-up to scholar Wendy Chun’s observations about “High-tech Orientalism,” a trope which represents a technologically-advanced future as an exotic Asian landscape. Commissioned by the Berkeley Art Center as part of an online exhibition launched while the gallery was closed by the pandemic, Virtually Asian is part of Suparak's ongoing project, “Asian futures, without Asians.” Despite its sharp critique, Virtually Asian ultimately strikes a hopeful tone. These are after all collective visions of the future: we have the capacity to imagine futures that are less racist, less sexist, more accurate reflections of the world we hope to inhabit.
Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study
Authors: García-Estela Aitana , Cantillo Jordi , Angarita-Osorio Natalia , Mur-Milà Estanislao , Anmella Gerard , Pérez Víctor , Vieta Eduard , Hidalgo-Mazzei Diego , Colom Francesc 
Published: February 2022

Background
SIMPLe is an internet‐delivered self‐management mobile app for bipolar disorder (BD) designed to combine technology with evidence-based interventions and facilitate access to psychoeducational content. The SIMPLe app was launched to the real world to make it available worldwide within the context of BD treatment.

Objective
The main aims of this study are as follows: to describe app use, engagement, and retention rates based on server data; to identify patterns of user retention over the first 6-month follow-up of use; and to explore potential factors contributing to discontinuation of app use.

Methods
This was an observational ecological study in which we pooled available data from a real-world implementation of the SIMPLe app. Participation was open on the project website, and the data-collection sources were a web-based questionnaire on clinical data and treatment history administered at inclusion and at 6 months, subjective data gathered through continuous app use, and the use patterns captured by the app server. Characteristics and engagement of regular users, occasional users, and no users were compared using 2-tailed t tests or analysis of variance or their nonparametric equivalent. Survival analysis and risk functions were applied to regular users’ data to examine and compare use and user retention. In addition, a user evaluation analysis was performed based on satisfaction, perceived usefulness, and reasons to discontinue app use.

Results
We included 503 participants with data collected between 2016 and 2018, of whom 77.5% (n=390) used the app. Among the app users, 44.4% (173/390) completed the follow-up assessment, and data from these participants were used in our analyses. Engagement declined gradually over the first 6 months of use. The probability of retention of the regular users after 1 month of app use was 67.4% (263/390; 95% CI 62.7%-72.4%). Age (P=.002), time passed since illness onset (P<.001), and years since diagnosis of BD (P=.048) correlate with retention duration. In addition, participants who had been diagnosed with BD for longer used the app on more days (mean 97.73, SD 69.15 days; P=.002) than those who had had a more recent onset (mean 66.49, SD 66.18 days; P=.002) or those who had been diagnosed more recently (mean 73.45, SD 66 days; P=.01).

Conclusions
The user retention rate of the app decreased rapidly after each month until reaching only one-third of the users at 6 months. There exists a strong association between age and app engagement of individuals with BD. Other variables such as years lived with BD, diagnosis of an anxiety disorder, and taking antipsychotics seem relevant as well. Understanding these associations can help in the definition of the most suitable user profiles for predicting trends of engagement, optimization of app prescription, and management.