bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal stabilization of recycled PET through chain extension and blending with PBT
Authors: Guclu Merve , Göksu Yonca Alkan , Özdemir Burcu , Ghanbari Abbas , Nofar M. Reza 
Published: May 2021

Abstract
This study investigates the effect of using a multifunctional epoxide chain extender (Joncryl® ADR 4468) on the thermal stabilization and rheological properties of recycled polyethylene terephthalate (R-PET) and its blends with polybutylene terephthalate (PBT). The thermal stability of the melt blended samples was analyzed through small amplitude oscillatory shear (SAOS) rheological experiments. The structure of the samples was evaluated using a Fourier transform infrared (FTIR) spectrometer. While the dynamic rheological properties of R-PET were improved with the addition of Joncryl and by blending with PBT, during the SAOS rheological experiments, the complex viscosity of R-PET further increased due to the concurrent polycondensation of R-PET and the resumption of Joncryl reaction with R-PET molecules. These reactions during the rheological experiments were further expedited with increasing the testing temperature. On the other hand, in R-PET/PBT blends, the reactivity of Joncryl was more noticeable in blends with higher R-PET contents due to the higher available internal reactive sites of much shorter R-PET molecules. It was observed that the addition of only 0.2 wt.% Joncryl to the blends of R-PET/PBT (75w/25w) dramatically improves the thermal stability and dynamic rheological properties of R-PET and most likely its processability.
Over-Expression and Prognostic Significance of FN1, Correlating with Immune Infiltrates in Thyroid Cancer
Authors: Geng Qi-Shun , Shen Zhi-Bo , Li Li-Feng , Zhao Jie 
Published: May 2021

Abstract
Background.
Thyroid cancer (THCA) is a malignancy affecting the endocrine system, which currently has no effective treatment due to a limited number of suitable drugs and prognostic markers.
Methods.
Three Gene Expression Omnibus (GEO) datasets were selected to identify differentially expressed genes (DEGs) between THCA and normal thyroid samples using GEO2R tools of National Center for Biotechnology Information. We identified hub gene FN1 using functional enrichment and protein–protein interaction network analyses. Subsequently, we evaluated the importance of gene expression on clinical prognosis using The Cancer Genome Atlas (TCGA) database and GEO datasets. MEXPRESS was used to investigate the correlation between gene expression and DNA methylation; the correlations between FN1 and cancer immune infiltrates were investigated using CIBERSORT. In addition, we assessed the effect of silencing FN1 expression, using an in vitro cellular model of THCA. Immunohistochemical(IHC) was used to elevate the correlation between CD276 and FN1.
Results.
FN1 expression was highly correlated with progression-free survival and moderately to strongly correlated with the infiltration levels of M2 macrophages and resting memory CD4 + T cells, as well as with CD276 expression. We suggest promoter hypermethylation as the mechanism underlying the observed changes in FN1 expression, as 20 CpG sites in 507 THCA cases in TCGA database showed a negative correlation with FN1 expression. In addition, silencing FN1 expression suppressed clonogenicity, motility, invasiveness, and expression of CD276 in vitro. The correlation between FN1 and CD276 was further confirmed by immunohistochemical.
Conclusion.
Our findings show that FN1 expression levels correlate with prognosis and immune infiltration levels in THCA, suggesting that FN1 expression be used as immunity-related biomarker and therapeutic target in THCA.
Bicomplex Version of Lebesgue's Dominated Convergence Theorem and Hyperbolic Invariant Measure
Authors: Ghosh Chinmay , Mondal Soumen 
Published: May 2021

Abstract
In this article we have studied bicomplex valued measurable functions on an arbitrary measurable space. We have established the bicomplex version of Lebesgue's dominated convergence theorem and some other results related to this theorem. Also we have proved the bicomplex version of Lebesgue-Radon-Nikodym theorem. Finally we have introduced the idea of hyperbolic version of invariant measure.AMS Subject Classification (2010) : 28E99, 30G35.
Artificial Neural Network Based Study Predicting GS-441524 As Potential Inhibitor of SARS COV-2 Activator Protein Furin: A Polypharmacology Approach
Authors: Menamadathil Dhanalakshmi , Das Kajari , Pandya Medha , Shah Sejal , Gadnayak Ayushman , Dave Sushma , Das Jayashankar 
Published: May 2021

Abstract
Furin, a pro-protein convertase, plays a significant role of biological scissor in bacterial, viral, and even mammalian substrates which in turn decides the fate of many viral and bacterial infections along with the numerous ailments caused by cancer, diabetes, inflammations, and neurological disorders. In the wake of the current pandemic caused by the virus SARS COV-2, furin has become the center of attraction for researchers. In the present work, we have searched for novel inhibitors against this interesting human target from FDA-approved antivirals. To enhance the selection of new inhibitors we employed Kohonen’s-artificial neural network-based self-organizing maps for ligand based virtual screening. Promising results were obtained which can help in drug repurposing and network pharmacology studies addressing the errors due to promiscuity/polypharmacology. We found 15 existing FDA antivirals having the potential to inhibit furin. Among these, six compounds have targets on other important human proteins (LDLR, FCGR1A, PCK1, TLR7, DNA and PNP) also. These 15 drugs inhibiting furin could be studied in patients having many viral infections including SARS COV-2, which is known to have many interacting motifs like NSPs, ORFs, and spike protein. We also propose two promising candidate FDA drugs GS-441524 and Grazoprevir (MK-5172) to repurpose as inhibitors of furin. The best results were observed with GS-441524.
Dynamical limits by downsizing for the photo-induced switching in a molecular material revealed by time-resolved X-ray diffraction
Authors: Volte Alix , Mariette Celine , Bertoni Roman , Cammarata Marco , Dong Xu , Trzop Elzbieta , Cailleau Herve , Collet Eric , Levantino Matteo , Wulff Michael , Kubicki Jacek , Yang Feng-Lei , Boillot Marie-Laure , Corraze Benoit , Stoleriu Laurentiu , Enachescu Cristian , Lorenc Maciej 
Published: May 2021

Abstract
Cooperative molecular switching at the solid state is exemplified by spin crossover phenomenon in crystals of transition metal complexes. Time-resolved studies with temporal resolutions that separate molecular level dynamics from macroscopic changes, afford clear distinction between the time scales of the different degrees of freedom involved. In this work we use 100 ps X-ray diffraction to follow simultaneously the molecular spin state and the structure of the lattice during the photoinduced low spin to high spin transition in microcrystals of [FeIII(3-MeO-SalEen)2]PF6. We show the existence of a delay between the crystalline volume increase driven by the propagation of collective volumic strain waves, and the cooperative macroscopic switching of molecular state. Such behaviour is different from the expectation that phase transformation only requires atomic displacements in the unit cell, that can occur simultaneously with propagation of a volumic strain. Model simulations and discussions of the physical picture explain the phenomenon with thermally activated kinetics governed by local energy barriers separating the molecular states.
Efficacy of intravenous flurbiprofen axetil with epidural analgesia for post-cesarean section analgesia: a multi-center, prospective, randomized, blinded trial
Authors: Wang Lingyu , Hu Zurong , Zhang Chunyuan , Dai Zaishen , Han Baoyi , Zeng Wei , Hu Hongtao , Song Xing-Rong , She Yingjun 
Published: May 2021

Abstract
BackgroundEpidural analgesia provided satisfactory analgesic effects of incision pain after cesarean section. However, uterine contraction pain is also a common complication that cannot be relieved despite adequate levels of sensory blockade by epidural analgesia. This study evaluates the effect of flurbiprofen axetil with patient-controlled epidural analgesia on incision pain and uterine contraction pain after cesarean section.MethodsA multi-center, prospective, randomized, blinded trial was performed. 1000 obstetric patients scheduled for cesarean delivery were randomized to receive epidural analgesia with intravenous flurbiprofen axetil (group EF) or placebo (group E) postoperatively. The primary outcomes were incision pain and uterine contraction pain score 48 hours after a cesarean section. Secondary outcomes were the PCEA attempts, the incidence of complication, satisfaction scores, and return of gastrointestinal (GI) function.ResultsBaseline characteristics were similar between groups. The VAS of uterine contraction pain was significantly lower in group EF than in group E from 12 hours to 48 hours after cesarean delivery (P < 0.01). The VAS of incision pain at rest and on movement was lower in group EF than in group E from 12 hours to 48 hours after cesarean delivery. While sitting or walking, the VAS of incision pain was lower in group EF compared with that in group E. GI function recovered faster in group EF than that in group E (15 ± 6 vs. 25 ± 12, 95%CI 5.7 to 8.7, P < 0.01). The satisfaction scores are higher in group EF than that in group E (3.2 ± 0.5 vs. 2.9 ± 0.5, 95%CI -0.36 to -0.11, P < 0.01).ConclusionCombination flurbiprofen axetil with PCEA provides more effective analgesia for uterine contraction pain and incision pain after cesarean section, with a higher quality of recovery and better satisfaction scores.Trials RegistrationThis study was approved by the Institutional Review Board of Guangzhou Women and Children’s Medical Center (IRB2017062201) and written informed consent was obtained from his or her parents or legal guardians for each pediatric patient in the trial. The trial was registered before patient enrollment at chictr.org.cn (ChiCTR-IOR-17011956, Principal investigator: Ying-Jun She, Date of registration: 2017.07.12). Written informed consent was obtained from patients in the study.
Radiation activates the NORAD expression to promote ESCC radioimmunotherapy resistance via EEPD1/ATR/Chk1 signaling by inhibiting the pri-miR-199 processing and exosomal transfer of miR-199a-5p
Authors: Sun Yuchen , Wang Jizhao , Sun Xuanzi , Li Jing , Zhao Xu , Ma Yuan , Shi Xiaobo , Qu Fengyi , Zhang Xiaozhi 
Published: May 2021

Abstract
Background Radioresistance, a poorly understood phenomenon, results in the failure of radiotherapy and consequent local recurrence, threatening a large proportion of ESCC patients. To date, lncRNAs have been found to be involved in diverse biological processes, including radioresistance.Methods ELISA was used to evaluated the H3 modifications in radio-resistant ESCC cells. FISH and qRT-PCR were adopted to examine the expression and localization of lncRNA-NORAD, pri-miR-199a and miR-199a. Electron microscopy and Nanoparticle tracking analysis (NTA) was conducted to observe and identify exosomes. High-throughput RNA sequencing and TMT mass spectrometry were performed to identify the functional lncRNAs and proteins involved in ESCC radioresistance. A series of in vitro and in vivo experiments were performed to investigate the biological effect of NORAD. CHIP, qPCR-RIP, co-IP and dual-luciferase reporter assays were used to explore the interaction of related RNAs and proteins. Results We show here that a DNA damage activated non-coding RNA-NORAD, which is critical for ESCC radio-resistance. NORAD was highly expressed in radio-resistant ESCC cells and tissues. Irradiation treatment promotes NORAD expression via enhancing H3K4me2 enrichment on its region. NORAD knockdown cells exhibit significantly hypersensitivity to irradiation in vivo and in vitro. NORAD is required for initiating repair and restart of stalled forks, G2 cycle arrest and homologous recombination repair upon irradiation treatment. Mechanistically, NORAD inhibits miR-199a expression by competitively binding PUM1 from pri-miR-199a, inhibiting the process of pri-miR-199a. Mature miR-199a in NORAD-knockdown cells can be packaged into exosomes; miR-199a restores the radiosensitivity of radioresistant cells by targeting EEPD1, then inhibiting ATR/Chk1 signaling pathway. Simultaneously, NORAD knockdown blocks the ubiquitination of PD-L1, leads to the better response for radiation and anti-PD-1 treatment in mouse model.Conclusion This study raises the possibility that LncRNA-NORAD could be a potential treatment target for improving the efficiency of immunotherapy in combination with radiation in ESCC.
Desarrollo de un software para el entrenamiento neuropsicológico de jóvenes infractores de la ley con trastorno de la personalidad antisocial
Authors: Gil Vera Victor Daniel , Quintero López Catalina , López Elizabeth Zapata , Sepúlveda Gutiérrez Luisa Fernanda , Vélez Vásquez Andrés Felipe 
Published: May 2021

El objetivo del trabajo es presentar el software “Vértice” para la rehabilitación neuropsicológica de infractores de la ley (IL) con trastorno de personalidad antisocial (TAP), que se encuentran en situación privativa de la libertad en un Centro de Atención-Especializado (CAE) de la Ciudad de Medellín, Colombia. En la construcción del software se realizó inicialmente la ingeniería de requisitos para identificar las necesidades de los equipos psicosociales que laboran en los CAE, luego se procedió al diseño de las tareas cognitivas dirigidas al mejoramiento de la memoria de trabajo (MT) y la cognición social (CS) a partir de publicaciones científicas, principios metodológicos y teóricos de la neuropsicología, posteriormente se llevó a cabo la programación en Java-Script y finalmente la validación con dos grupos (control y experimental) cada uno conformado por 30 personas, se utilizó un muestreo intencionado. Se realizó un pretest y un postest, usando las pruebas BASC T-3, WAIS IV, Test del falso paso, Test de la mirada. Los resultados de las pruebas aplicadas de CS y MT del postest son superiores al pretest en el grupo experimental, permitiendo validar la eficacia del software para mejorar el rendimiento cognitivo.
Microbial desalination cell design & bioengineering assays: Main concepts
Authors: Ramírez-Moreno Marina , Rodenas Pau , Aliaguilla Martí , Bosch-Jimenez Pau , Borràs Eduard , Zamora Patricia , Monsalvo Víctor , Rogalla Frank , Ortiz Juan M. , Esteve-Núñez Abraham 
Published: May 2021

Abstract
The main goal of this chapter is to present the main concepts and principles for the microbial desalination process. Also, a rational explanation of the electrochemical behaviour of the microbial desalination cell (MDC) setup under different experimental conditions is presented. The final section of the chapter shows the design and construction of an MDC pre-pilot unit, as well as the main results of desalination and water treatment capacity for the scaled-up device.
One water – evolving roles of our precious resource and critical challenges
Authors: Gude Veera Gnaneswar 
Published: May 2021

AbstractThis article presents the evolving challenges and roles of our water resources in this contemporary world. First, water quality issues surrounding water supplies are discussed. Potential pathways to address the water quality challenges are presented, which include technological approaches for minimizing waste and enhancing resource recovery. Focused discussions on emerging global pollutants such as microplastics and PFAS (per- and poly-fluoro alkyl substances) and treatment alternatives are included. Next, the roles of used water (wastewater) in the wake of circular economy and recent outbreaks are discussed. The potential for energy and resource recovery possibilities and the critical role of wastewater treatment plants in controlling the spread of outbreaks are discussed in detail. Finally, perspectives on some of the key developments essential for transforming our water infrastructure, addressing water-centered socio-economic issues and the critical needs of digitalization in water sector operations are presented.
Estimación de la demanda oculta de servicios de salud: un apoyo al seguro social peruano
Authors: Caparó Rafael 
Published: May 2021

La importancia del sector salud se relaciona estrechamente con el bienestar social, puespensar en este sector salud es pensar en una serie de alternativas de mejora. Muchos delos hospitales que se construyen para el sector salud se saturan de demanda ni bien sonterminados de construir, este es un problema que puede estar asociado a una percepciónerrónea de la demanda de servicios de salud y que se puede reflejar en un malestar social
si no es bien calculada, en tal sentido construir un modelo que pueda anidar las expecta-tivas de saturación del hospital (logística) con la demanda oculta de servicio de salud es
un gran reto para esta investigación. Tal como se ha hecho en otros países, realizaremosun modelo econométrico para determinar el porcentaje adicional que debe considerarsea la hora de construir de un centro de salud debido a la demanda oculta, sin términos degeneralidades este modelo puede aplicarse a otros tipos de servicios sociales. Este es eltercer informe y complementa la investigación con cuadros y resultados.
El gasto en la inversión pública y su impacto en la reducción de la pobreza monetaria en el Perú. Periodo 2000-2018
Authors: Quiroz Vera Eduardo 
Published: May 2021

El objetivo de la presente investigación fue analizar el impacto del gasto en inversión pública sobre la reducción de la pobreza monetaria en el Perú para el periodo 2000-2018, la investigación es cuantitativa, de tipo descriptiva y explicativo, de diseño correlacional y de corte longitudinal, para cuantificar los efectos de la inversión pública sobre la pobreza se utilizó información secundaria de fuentes como las series de tiempo del Banco Central de Reserva del Perú y estadísticas del Banco de Proyectos del Ministerio de Economía y Finanzas y del Instituto Nacional de Estadística e Informática, los resultados indican que el gasto público en inversión y los niveles de pobreza poseen una relación inversa tanto a nivel total como a nivel de los sectores que conforman la inversión pública ejecutada, se concluye que la gestión de la inversión pública logro reducir la pobreza monetaria en el Perú a lo largo de periodo de estudio, siendo solo la inversión en el sector social la que ha tenido una participación significativa en la reducción de la pobreza.
Modelo de pronóstico de riesgo académico de los alumnos de pregrado de la Universidad Nacional de Ingeniería
Authors: Garrafa Aragón Hermán , Soto-Rodríguez Iván 
Published: May 2021

El presente trabajo de investigación usó información no estructurada generada en las unidades académicas de la Universidad Nacional de Ingeniería, a fin de predecir el nivel de riesgo académico de un estudiante, haciendo uso de técnicas de Machine Learning.
Las fases en que se consideraron fueron:

Construcción del datamart: En esta fase se realizó integración de datos de las diferentes fuentes para construir el repositorio de datos objetivo, el cual se dividió en datos de entrenamiento y datos de prueba.
Entrenamiento del modelo: Elaboración del modelo de entrenamiento basado en los datos del datamart, aplicando Maquina de Soporte Vectorial.
Validación y prueba del modelo: Evaluación del modelo obtenido anteriormente, usando los datos de prueba del datamart.
Cambios absolutos y relativos del índice de precios al consumidor
Authors: Cerda Hernández José , Fernández-Villarreal J. 
Published: May 2021

El presente trabajo estima una descomposición factorial dinámica para la inflación peruana, usando datos desagregados mensuales del índice de precios al consumidor de Lima Metropolitana de Enero de 2000 hasta Diciembre de 2019. Uno de los objetivos de la macroeconomía es explicar las fuentes agregadas de cambios en los precios de los bienes de una economía. Este modelo permite identificar precios relativos idiosincráticos, precios relativos agregados y precios absolutos, que representan los choques de oferta y demanda que pueden aparecer en una economía.
La componente común a todos los rubros del IPC sirve como una medida alternativa de la inflación subyacente, y nuestros resultados muestran que esta componente está altamente correlacionada con la inflación subyacente publicada por el BCRP. En general, los resultados obtenidos en el presente trabajo son robustos para diferentes estructuras de dependencia intertemporal para los factores considerados.
The Efficacy of eHealth Interventions for the Treatment of Adults Diagnosed With Full or Subthreshold Binge Eating Disorder: Systematic Review and Meta-analysis
Authors: Moghimi Elnaz , Davis Caroline , Rotondi Michael 
Published: May 2021

Background
There has been a recent rise in the use of eHealth treatments for a variety of psychological disorders, including eating disorders.

Objective
This meta-analysis of randomized controlled trials is the first to evaluate the efficacy of eHealth interventions specifically for the treatment of binge eating disorder (characterized by compulsive overconsumption of food, in a relatively short period, and without compensatory behaviors such as purging or fasting).

Methods
A search on the electronic databases PubMed, Web of Science, Embase, MEDLINE, and CINAHL was conducted for randomized controlled trials that compared the efficacy of eHealth treatment interventions with waitlist controls.

Results
From the databases searched, 3 studies (298 participants in total) met the inclusion criteria. All interventions were forms of internet-based guided cognitive behavioral therapy. The results of the analysis demonstrated that when compared with waitlist controls, individuals enrolled in eHealth interventions experienced a reduction in objective binge episodes (standardized mean difference [SMD] −0.77, 95% CI −1.38 to −0.16) and eating disorder psychopathology (SMD −0.71, 95% CI −1.20 to −0.22), which included shape (SMD −0.61, 95% CI −1.01 to −0.22) and weight concerns (SMD −0.91, 95% CI −1.33 to −0.48). There was no significant difference in BMI between the eHealth interventions and controls (SMD −0.01, 95% CI −0.40 to 0.39).

Conclusions
These findings provide promising results for the use of internet-based cognitive behavioral therapy for binge eating disorder treatment and support the need for future research to explore the efficacy of these eHealth interventions.