bluuebunny/crossref_metadata_2025_split huggingface dataset:
TXNDC17 Protein Overexpression in Uterine Papillary Serous Carcinoma is Associated with Chemoresistance
Authors: Peng Qiaohua , Yu Yan , Cheng Xiaodong , Wang Xinyu , Lu Weiguo , Xie Xing , Zhang Songfa 
Published: March 2021

Abstract
Background: TXNDC17(thioredoxin domain containing 17 protein) has primarily been associated with ovarian cancer. It concurs resistance to paclitaxel by inducing autophagy. However, limited information exists on its role in uterine papillary serous carcinoma (UPSC). This study aimed to analyze clinicopathological characteristics of patients with UPSC in China, and investigate roles of TXNDC17 protein in UPSC chemoresistance and prognosis. Methods: Fifty-five patients with UPSC treated in women’s hospital school of medicine Zhejiang university from 2003 to 2016 were analysed retrospectively. Immunohistochemistry (IHC) were performed to TXNDC17 and BECN1 (Beclin 1 protein, a key regulator of autophagy) protein expression respectively. Results: A total of 55 UPSC patients of median age (63.3 years), 43.7% with late stages (stage III/IV), and 48.6 % exhibiting more than half of myometrium invasion were enrolled. Notably, 28 (50.9%) patients had TXNDC17 protein overexpression associated with chemoresistance and high BECN1 expression. BECN1 overexpression occurred at an advanced stage and was characterized by deep myometrial invasion. Of note, advanced stage, deep myometrial invasion, BECN1, and TXNDC17 overexpression were significantly associated with a poor outcome. Besides, co-expression of TXNDC17 and BECN1 occurred at an advanced stage causing deep myometrial invasion and chemoresistance thereby resulted in the shortest survival in UPSC. The multivariate proportional hazards model revealed that myometrial invasion and TXNDC17 overexpression were independent prognostic factors. Conclusion: This study showed that TXNDC17 overexpression, through induces autophagy, and consequently results in chemoresistance and poor survival in UPSC patients. TXDNC17 may be a potential predictor or target in UPSC therapeutics.
Conservation State of Two Paintings in the Santa Margherita Cliff Cave: Role of the Environment and of the Microbial Community
Authors: armetta francesco , Cardenas Josue , Caponetti Eugenio , Alduina Rosa , Presentato Alessandro , Vecchioni Luca , Stefano Pietro di , Spinella Alberto , Saladino Maria Luisa 
Published: March 2021

Abstract
The conservation of ancient paintings sited in humid environments is an actual challenge for restorers, because it needs the knowledge of the materials the paintings are made up and of their interaction with a peculiar surrounding environment; thus, tailored procedures and strategies aimed at restoring and preserving paintings are necessary. The Santa Margherita’s cave in Castellammare del Golfo (Trapani, Italy) is a natural cave, containing the remains of paintings, in a poor state of conservation, belonging to an ancient church dated back to the Middle Age. The present manuscript reports the monitoring of environmental conditions (i.e., temperature and humidity) in a full year as well as a study on the materials constituting the stone support and the paintings together with a survey of the microbial community. The findings allow us to define the causes which mainly involve the degradation of the paintings. In detail, the degradation of the east and the west wall occurred differently because of the exposure to the sea aerosol, which influenced the salt composition, also contributing to diversifying the bacterial community. Some specific actions to plan the conservation and restoration of paintings and to preserve the site are suggested.
Physical and chemical modifications of cellulose fibers for food packaging applications
Authors: Saedi Shahab , Garcia Coralia V. , Kim Jun Tae , Shin Gye Hwa 
Published: March 2021

Abstract
Cellulose fibers have gained considerable interest for use as gas barrier and reinforcing fillers in food packaging materials because of their interesting properties including biodegradability, low density, nontoxicity, and low cost. Although the modification of cellulose nanomaterials for reinforcing applications has been reviewed in the literature, they suffer from a lack of comparative results, and the modifications related to food packaging applications have not been covered yet. This study reviews physical and chemical methods used to improve oxygen and water barrier properties, water uptake, mechanical strength, and transparency of different food packaging films of cellulose nanomaterials and provides comparative results. Heat treatment, esterification, and tempo-mediated and periodate oxidation are the most common methods for the improvement of the barrier properties of free-standing, bilayer, and composite films prepared from cellulose nanomaterials. Modification using silane compounds is a well-established method for improving the mechanical properties of cellulose fibers and polymer composite films.
Job Crafting Promotes Internal Recovery State, Especially in Jobs that Demand Self-control: A Daily Diary Design
Authors: Yanwei Shi , Zhuang She , Dan Li , Hui Zhang , Kuihuan Niu 
Published: March 2021

Abstract
Background: There is an increasing body of research on how employees recover from work, but most of this research has focused on recovery during non-work hours (external recovery) rather than recovery during the work hours (internal recovery). Using the conservation of resources theory as a conceptual framework, we tested whether job crafting promotes internal recovery state, and examined the processes that explain this association.Methods: Using the daily diary method, 120 participants provided information twice a day for five days by rating job crafting, ego depletion, self-control demands at work, fatigue and vigor.Results: The analysis of results showed that after controlling for fatigue and vigor before employees started a day’s work, job crafting predicted significantly better internal recovery, and this association was mediated by lower ego depletion. These associations were moderated by how much self-control was required by the job, with the links between job crafting, lower ego depletion and internal recovery being stronger for employees with high demands to exercise self-control.Conclusions: This study provides insights to how employees with high self-control demands recover from work via job crafting.
Facilitating health promoting ideas and actions: Participatory research in an underserved Swedish residential area
Authors: Magnusson Maria , Vaughn Lisa M. , Wretlind Katharina , Forslund Heléne Bertéus , Berg Christina 
Published: March 2021

Abstract
Background
For an intervention to contribute to decreased health gaps, people living in underserved areas must participate in the research-to-action process during the development of the intervention. The purpose of this study was to collaborate with residents living in a Swedish underserved area to generate health and wellness priorities and actions with specific interests in dental health and nutrition.
Methods
We applied Group Level Assessment (GLA) together with people living in a Swedish neighborhood where obesity, dental caries and other illnesses are prevalent. GLA is a qualitative, participatory methodology that is designed for a large group to generate and evaluate relevant needs and priorities within a lens of action for positive social change. Residents were recruited by posters, postcards and snowball sampling. In total, 47 residents participated. Eight GLA sessions were held over a five-month time period.
Results
The GLA sessions resulted in reflections, proposals and actions for change by the residents. Adolescent and parent need for support, improved communication and more meeting places were highlighted as priorities for promoting health and well-being. The results were presented for stakeholders in a report and an exhibition and some of the participants started a language café.
Conclusions
GLA helped residents identify what they thought valuable and relevant concerning health issues and supported them in taking actions to achieve change.
The Changes in Epidemiology of Visiting Emergency Department at COVID-19
Authors: Park SungJoon , Yoon Young-Hoon , Lee Ji Young , Lee Eusun , Park Hong Seok , Kim Jung-Youn 
Published: March 2021

Abstract
BackgroundOn December 31, 2019, a type of pneumonia with unknown origin was reported in Wuhan, China. It was named as coronavirus disease 2019 by the World Health Organization. Several studies showed that the outbreaks of infectious diseases affect the emergency department visits. Therefore, this study aimed to identify the epidemiological characteristics of patients visiting the emergency department during the coronavirus disease outbreak.MethodThis retrospective observational study was conducted in the three tertiary emergency departments. To evaluate the general characteristics of patients visiting the emergency department, data on sex, age, date and time of visit, initial blood pressure, heart rate, respiration rate, body temperature, level of consciousness, and disposition upon discharge were collected.ResultsA total of 180,192 patients were enrolled in this study. There were 52,245 patients who visited the emergency department during the coronavirus disease outbreak (December 2019–April 2020). This number was significantly reduced compared with the 64,405 and 63,542 patients who visited during the pre-coronavirus disease period. During the period of coronavirus disease outbreak, the proportion of alert patients began to decline from February to April. Also, the proportions of patients with Korean Triage and Acuity scores 4–5 and discharged patients decreased during the same period. The number of patients who were diagnosed with “influenza because of identified seasonal influenza virus” decreased to 1,507 (2.9%), compared with the 2,131 (3.4%) and 2,157 (3.3%) patients diagnosed with this condition during the pre-coronavirus disease period.ConclusionThe study showed changes in the patterns of emergency department visits during the coronavirus disease outbreak. During this period, the total number of patients and non-emergency patients visiting the emergency department decreased.
Efficacy of Brinzolamide in the Initial Management of Acute Primary Angle Closure in Chinese: a Randomized Controlled Trial
Authors: chen guang , Peng Xinming , Li Jun , Chen Peng , Wang Jing 
Published: March 2021

Abstract
Objective: Since comprehensive medication has an important role in the initial management of patients presenting with acute primary angle closure, it is necessary to analyze the effect of each drug on alleviating the disease. This study aimed to evaluate the intraocular pressure-lowering effect of brinzolamide in the sequential treatment of acute primary angle closure. Methods: In this randomized double-blind controlled trial, a total of 131 eyes of 125 consecutive patients who presented with their ﬁrst episode of acute primary angle closure were recruited and received sequential treatment. The patients were randomized to receive either brinzolamide or normal saline as a placebo. The primary outcomes were decreased intraocular pressure, success rate, and treatment time. Results: There was no statistically significant difference in the decreased level of intraocular pressure between the two groups at 6, 12, or 24 hours after the start of treatment (P-values were 0.526, 0.206, and 0.130, respectively). The success rate and treatment time were also not significantly different between the groups. No adverse side effects of brinzolamide were observed in the brinzolamide group. ﻿Conclusions: In patients with a first episode of acute primary angle closure, brinzolamide did not improve the effectiveness of the sequential treatment for reducing the intraocular pressure levels or shortening the treatment time within the ﬁrst 24 hours of initiating therapy.
Performance of Oxalic Acid-Chitosan/Alumina Ceramic Biocomposite for the Adsorption of a Reactive Anionic Azo Dye
Authors: Pérez-Calderón John , Scian Alberto , Ducos Martin , Santos Victoria , Zaritzky Noemi Elisabet 
Published: March 2021

Abstract
A biocomposite system was developed and tested for the removal of the azo dye Reative Red (RR195) from wastewater. The biocomposite was synthesized using ceramic particles containing 75% alumina which were coated using chitosan crosslinked with oxalic acid. The biocomposite showed high performance at low pH (maximum adsorption capacity = 345.3mg.g− 1 at pH = 2). The physico-chemical and structure characteristics of the matrix were evaluated by Z-potential, FTIR-ATR, SEM-EDS, DRX and porosity. Langmuir sorption isotherm and Pseudo Second order model gave the best fit. The electrostatic interaction between RR195 (due to the sulfonate groups) and the free amino groups of chitosan, enabled successive desorption/regeneration cycles. The maximum removal percentage (> 80%) occurred at pH = 2 due to the crosslinking effect. Experiments at different temperatures allowed the calculation of thermodynamic parameters (ΔG, ΔS, ΔH); adsorption was spontaneous, exothermic and enthalpy controlled. The presence of inorganic ions (NO3−>Cl−) was analyzed during the adsorption process. This novel biocomposite can be applied as a cost-effective and environmentally friendly adsorbent for anionic azo dye removal from wastewater. The application of chitosan crosslinked with oxalic acid as a coating of the ceramic support enhanced the adsorption capacity and enabled its use under acidic conditions without solubilization.
Evaluating the Scale Dependence of Biodiversity-productivity Relationships: A Case Study in Mountain Meadow Habitat
Authors: Liu Jiajia , Ge Xue-Jun 
Published: March 2021

Abstract
Ecological scale has been widely assumed to influence various biodiversity-productivity relationships in ecological communities; however, its robustness has not been extensively studied. In this study, we tested the scale dependency of biodiversity-productivity relationships by evaluating their direct linkages while considering other confounders, and simultaneously incorporating functional traits and interspecific phylogenetic relationships. We surveyed sixty quadrats each with an area of 0.25 m2 in three different meadows located along an elevational gradient in Yulong Mountain, China. We calculated different biodiversity parameters (richness, evenness, functionality, and phylogeny), and evaluated the chemical properties of soil from all quadrats, correlating their relationships with plant productivity at the local and regional scale. The direct and indirect relationships of biodiversity and productivity were evaluated using structural equation modeling. The biodiversity-productivity relationships were weak and inconsistent at the local scale, whereas some biodiversity metrics (richness, functional, and phylogenetic) showed either strong positive or negative relationships with productivity at the regional scale. However, a direct correlation between productivity and variables such as soil pH and community-weighted mean leaf carbon content was observed in the structural equation model reconstructed. Our study indicates that the scale dependency of biodiversity-productivity relationships in natural habitats may not be as strong as it may have been previously perceived, in case of taxonomic, functional, and phylogenetic diversity, respectively. Our study emphasizes the necessity to account for the confounding effects of abiotic factors when evaluating biodiversity-productivity relationship in natural habitats at regional or even worldwide scales.
Equilibrium Time, Permutation, Multiscale and Modified Multiscale Entropies for Low-High Infection Level Intracellular Viral Reaction Kinetics
Authors: Taherkhani Farid 
Published: March 2021

Abstract
Kinetics Monte Carlo simulation has been done for solving Master equation for intracellular viral reaction kinetics. There is scaling relationship between reaction equilibrium time and initial population of template species in intracellular viral reaction kinetics. Kinetics Monte Carlo result shows that mathematical presentation between initial population of template species and reaction equilibrium time is f eq time (N) = aNb (a = 163.1, b = -0.1429 ), where N , feq time(N) are initial population of template species and reaction equilibrium time respectively. Kinetics Monte Carlo shows that increasing initial population of template species decreases the reaction equilibrium time. Initial population for template species with range 1 ≤Temp ≤ 4; Temp=5; 6 ≤Temp ≤10 are called low, medium and high infection level in intracellular viral kinetics reaction respectively. Entropy generation has been considered in low, intermediate and high infection level of intracellular viral reaction kinetics in during dynamical population. Permutation, multiscaling and modified multiscaling entropies have been calculated for species, genome, structural protein, and template species. Dependency of permutation entropy on permutation order is small in high infection level. At short time scale, convergency of permutation entropy occurs with medium permutation order value. In the big time scale, permutation entropy H(n) scales with permutation order n as a scaling relation H (n )=nα (α =0.30) . Three different trends for low, medium and high infection level observed for multiscaling entropy of template species versus scaling factor. Nonmonotonic behavior for permutation entropy versus time could be observed for structural protein species.
Direct prediction of bioaccumulation of organic contaminants in plant roots from soils with machine learning models based on molecular structures
Authors: Gao Feng , Shen Yike , Sallach J. Brett , Li Hui , Liu Cun , Li Yuanbo 
Published: March 2021

Abstract
Root concentration factor is an important substance-specific characterization parameter for plant uptake of organic contaminants from soils in life cycle impact assessment (LCIA); however, the availability of a reliable dataset and building of robust predictive models remain challenging due to the complexity of chemical-soil-plant root interactions. Here we developed end-to-end machine learning models to devolve the interaction complexity by training on a unified dataset with 341 data points covering 72 chemicals. The gradient boosting regression tree (GBRT) model based on the extended connectivity fingerprints (ECFP) demonstrated a superior prediction performance with R-squared of 0.77 and Mean Absolute Error (MAE) of 0.22. In addition, partial dependence analysis was used to determine the nonlinear relationships in the chemical-soil-plant root system. Feature importance analysis revealed the relationship between and chemical topological structures. Stemming from its simplicity and universality, the GBRT-ECFP model provides a promising tool for LCIA to better characterize the human and ecological impacts of chemicals in the environment.
Smooth Nonlinear Fitting Scheme for Analog Multiplierless Implementation of Hindmarsh-Rose Neuron Model
Authors: Cai Jianming , Bao Han , Xu Quan , Hua Zhongyun , Bao Bocheng 
Published: March 2021

Abstract
The Hindmarsh-Rose (HR) neuron model is built to describe the neuron electrical activities. Due to the polynomial nonlinearities, multipliers are required to implement the HR neuron model in analog. In order to avoid the multipliers, this brief presents a novel smooth nonlinear fitting scheme. We first construct two nonlinear fitting functions using the composite hyperbolic tangent functions and then implement an analog multiplierless circuit for the two-dimensional (2D) or three- dimensional (3D) HR neuron model. To exhibit the nonlinear fitting effects, numerical simulations and hardware experiments for the fitted HR neuron model are provided successively. The results show that the fitted HR neuron model with analog multiplierless circuit can display different operation patterns of resting, periodic spiking, and periodic/chaotic bursting, entirely behaving like the original HR neuron model. The analog multiplierless circuit has the advantage of low implementation cost and thereby it might be suitable for the hardware implementation of large-scale neural networks.
Disaggregating Proportional Multistate Lifetables by Population Heterogeneity to Estimate Intervention Impacts on Inequalities
Authors: Andersen Patrick , Mizdrak Anja , Wilson Nick , Davies Anna , Bablani Laxman , Blakely Tony 
Published: March 2021

Abstract
BackgroundSimulation models can be used to quantify the projected health impact of interventions. Quantifying heterogeneity in these impacts, for example by socioeconomic status, is important to understand impacts on health inequalities.We aim to disaggregate one type of Markov macro-simulation model, the proportional multistate lifetable, ensuring that under business-as-usual (BAU) the sum of deaths across disaggregated strata in each time step returns the same as the initial non-disaggregated model. We then demonstrate the application by deprivation quintiles for New Zealand (NZ), for: hypothetical interventions (50% lower all-cause mortality, 50% lower coronary heart disease mortality) and a dietary intervention to substitute 59% of sodium with potassium chloride in the food supply. MethodsWe developed a disaggregation algorithm that iteratively rescales mortality, incidence and case fatality rates by time-step of the model to ensure correct total population counts were retained at each step.To demonstrate the algorithm on deprivation quintiles in NZ, we used the following inputs: overall (non-disaggregated) all-cause mortality & morbidity rates, coronary heart disease incidence & case fatality rates; stroke incidence & case fatality rates. We also obtained rate ratios by deprivation for these same measures. Given all-cause and cause-specific mortality rates by deprivation quintile, we derived values for the incidence, case fatality and mortality rates for each quintile, ensuring rate ratios across quintiles and the total population mortality and morbidity rates were returned when averaged across groups.The three interventions were then run on top of these scaled BAU scenarios. ResultsThe algorithm exactly disaggregated populations by strata in BAU. The intervention scenario life years and health adjusted life years (HALYs) gained differed slightly when summed over the deprivation quintile compared to the aggregated model, due to the stratified model (appropriately) allowing for differential background mortality rates by strata. Modest differences in health gains (health adjusted life years) resulted from rescaling of sub-population mortality and incidence rates to ensure consistency with the aggregate population.ConclusionPolicy makers ideally need to know the effect of population interventions estimated both overall, and by socioeconomic and other strata. We demonstrate a method and provide code to do this routinely within proportional multistate lifetable simulation models and similar Markov models.