bluuebunny/crossref_metadata_2025_split huggingface dataset:
La propaganda como termómetro de la lucha armada: el caso del Emirato del Cáucaso (2010-2019)
Authors: Tarín-Sanz Adrián 
Published: July 2022

Este artículo tiene como objetivo aportar datos complementarios, fiables y replicables sobre el conteo de víctimas provocadas por las guerrillas del Cáucaso norte, para explicar su actual debilidad. La metodología empleada es el análisis de contenido de todas las publicaciones realizadas entre 2010 y 2019 en su órgano oficial de propaganda, Kavkaz Center. Esto se complementa con un análisis del contexto histórico. Se concluye que existe una coincidencia general en el aumento y la disminución de las variables producción propagandística y víctimas causadas a lo largo del tiempo. Por tanto, el escrutinio de la propaganda de las guerrillas ayuda a conocer su vigor con mayor certidumbre que si solo se tiene en cuenta el número de ataques perpetrados. Replicar el análisis en otros contextos permitiría conocer si puede establecerse una norma en ese sentido.
Trata de menores con fines de explotación sexual: estrategias de prevención en la región de Bogotá
Authors: Díaz-Cruz Paula-Cristina , Rodríguez-Lizarralde Carolina 
Published: July 2022

La trata de personas es un crimen transnacional que se concentra sobre todo en la modalidad de explotación sexual. Sus principales víctimas son mujeres y niñas. El objetivo del artículo es presentar las estrategias de prevención frente a la trata de niñas, niños y adolescentes que se identifican en el accionar de las organizaciones de la sociedad civil en la región de Bogotá, Colombia. A partir de las técnicas de entrevista y encuesta, se consolida información en una matriz de Índice de Capacidades Organizacionales (ICO) y se hace una medición frente a las estrategias identificadas desde organizacionales nacionales e internacionales, y los desafíos que se desprenden para abordar el fenómeno. Se concluye que el desconocimiento de las formas en que opera el mercado de la trata de personas y la falta de estrategias que asuman los impactos de estas prácticas mercantiles y lucrativas dejan rezagadas a las organizaciones ante un delito que surge de las desigualdades socioeconómicas estructurales y que se transforma constantemente.

Abstract
Human trafficking is a transnational crime that is mainly concentrated in the form of sexual exploitation. Most of the victims are women and girls. The objective of the article is to identify the prevention strategies against trafficking of children and adolescents identified in the actions of civil society organizations in the Bogotá region, Colombia. Based on the methods of the interview and the survey, with the consolidation of the information in an Organizational Capabilities Index matrix, a measurement is made, according to the strategies of national and international organizations, and the challenges for understanding the phenomenon. It is concluded that ignorance of the ways in which the human trafficking market operates and the lack of strategies that assume the impacts of these commercial and lucrative practices leaves organizations behind in the face of a crime that arises from structural socioeconomic inequalities and is constantly changing.
Immunization status of children at kindergarten entry in Alberta, Canada
Authors: Dhungana Manisha , Hoben Matthias , O’Brien Celine , MacDonald Shannon E. 
Published: July 2022

Abstract
Objectives
Little is known about immunization coverage among kindergarten-aged children in jurisdictions that do not require children’s immunization records to be provided at school entry. Thus, we assessed immunization coverage and associated characteristics of a 2008 birth cohort of Alberta children at kindergarten entry as compared with at the end of grade one.

Methods
This retrospective cohort study used population-based administrative health data for childhood vaccines in Alberta, Canada. We categorized and compared immunization status of children as follows: (a) complete at kindergarten entry; (b) incomplete at kindergarten entry but complete at the end of grade one; and (c) still incomplete at the end of grade one. To assess factors associated with immunization status, we used multinomial logistic regression.

Results
Immunization coverage for the complete vaccine series for children (N = 41,515) at kindergarten entry was suboptimal (44.5%, 95% CI 44.0–45.0) and substantially lower than for children at the end of grade one (74.8%, 95% CI 74.3–75.2). Young maternal age, not living with a partner, and having > 1 child in a household were associated with incomplete immunization status at kindergarten entry. Midwife-assisted hospital and home delivery was strongly associated with incomplete immunization status at the end of grade one.

Conclusion
Immunization coverage at kindergarten entry was strikingly low. Risk factors for incomplete immunization status were identified that require particular attention when addressing immunization coverage. The school-based catch-up immunization program in grade one seems to have substantially improved coverage among children, suggesting a potential benefit of shifting the catch-up program from grade one to kindergarten entry.
Entrevista a Margarita Ledo Andión
Authors: García Puente María , Hogan Erin K. 
Published: July 2022

Fragmento de la entrevista de María García Puente [Profesora en la California State University San Bernardino] y Erin K. Hogan [Profesora en la University of Maryland Baltimore County] a Margarita Ledo Andión para el para el Gynocine Project: Women filmmakers, feminism and film studies dirigido por Bárbara Zecchi. Este proyecto, que se puede consultar en https://www.gynocine.com., cuenta con una base de datos online que incluye entrevistas y otros recursos sobre la producción de las mujeres cineastas a lo largo del mundo.
De la investigación al aula: orientaciones didácticas para diseñar e implementar tareas probabilísticas en Educación Primaria.
Authors: Alsina Ángel , Vásquez Claudia 
Published: July 2022

A partir de los resultados de una investigación previa en la que se han analizado las tareas probabilísticas que propone el profesorado de Educación Primaria para promover la alfabetización probabilística, en este artículo se ofrecen diversas orientaciones didácticas con el propósito de enlazar los resultados de esta investigación con la práctica escolar. En concreto, se abordan los cinco componentes de la dimensión “tareas probabilísticas” del “Instrumento de Observación de Clases de Probabilidad” (IOC-PROB): uso de recursos; contextos probabilísticos; reto cognitivo; procedimientos y estrategias; y significados de la probabilidad. Para cada componente, primero se presenta una breve descripción y una síntesis de los principales resultados obtenidos en el estudio preliminar; y, seguidamente, se ofrecen diversas orientaciones didácticas fundamentadas teórico-metodológicamente, a partir de una actividad en particular, para que el profesorado de Educación Primaria pueda llevar a cabo una planificación y gestión de las tareas probabilísticas más eficaz y ajustada a los resultados de la investigación. Se concluye que la implementación de tareas probabilísticas en el aula alineadas con la investigación sobre este tópico puede contribuir a mejorar el desarrollo de la alfabetización probabilística del alumnado de Educación Primaria.
THE ROLE OF DIGITAL TOURISM DESTINATION IN ACHIEVING DIGITAL TOURISM DESTINATION PERFORMANCE THROUGH DIGITAL'S ROLE AS INTERVENING VARIABLES
Authors: Mega Zahera , Jubery Marwan  
Published: July 2022

ABSTRACT

The purpose of this study is to determine and analyze the role of digital tourism destinations in realizing the performance of digital tourism destinations through the role of digital as an intervening variable. This research approach is quantitative with the type of explanatory research. Sources of primary data were obtained using the survey method. This research was conducted in the Thousand Islands Regency, Jakarta before the Covid-19 period. Researchers have surveyed as many as 140 people to tourism actors, but from 140 people who meet the requirements 100 samples. To test the hypothesis using path analysis.
The research findings show that: (1) digital tourism destination variables (destination image, accessibility, infrastructure, and travel agency) affect the digital role; (2) digital tourism destination variables (destination image, accessibility, infrastructure, and travel agency) do not directly affect digital tourism destination performance; (3) Digital tourism destination variables (destination image, accessibility, infrastructure, and travel agency) through digital roles affect digital tourism destination performance.
The results of the analysis show that; (1) The success of digital technology that plays a role in providing tourism information contributes to providing a platform on digital technology as a form of providing information for potential tourists, this is effective because the millennial generation relies on various popular platforms that are commonly used in finding tourism information, and have met the criteria basic needs of life before tourism activities are carried out. The ability to share and exchange information between tourism providers and prospective tourists freely has an impact on increasing the number of tourists who; (2) The role of digital is used as a promotion in attracting tourists to visit using; formation of a positive destination image opinion, the availability of good accessibility including modes of transportation; infrastructure, tourist attraction areas that have added value, good travel agency services, so that the final impact can contribute to increasing the number of tourists. The ability to share and exchange information between tourism providers and potential tourists freely has an impact on digital tourism destination performance.

Keywords: Digital tourism destination, Digital tourism destination Performance, and Digital Role.
the e-commerce Use of E-Commerce in Increasing Sales of Small and Medium-Sized Micro Enterprises (MSMEs) Boutiques is Amid Pandemic Covid-19
Authors: IMAM SUFIYANTO MOHAMMAD 
Published: July 2022

The Covid-19 pandemic struck Indonesia and also the rest of the world, which has a huge impact on the Micro, Small, and Medium Enterprises (MSMEs). It is necessary to have a big movement to revive the economic passion in Indonesia, especially MSMEs, one of which is by utilizing e-commerce. E-Commerce is one of the means in the process of buying and selling products produced with a system that includes the use of the web online. The boutique is a fashion store that sells a variety of high-quality and exclusive clothing and accessories, customers can directly view the products being sold, register personal information, make orders, pay for goods. E-Commerce is created using the PHP programming language and MySQL database, using the Web Modeling Language (WebML) methodology. It was obtained that the E-Commerce data presented can increase the value of sales in the covid-19 pandemic with the use of E-Commerce makes it easier for consumers to choose items to be consumed or used without face-to-face or meeting between sellers and buyers. The online process is much more efficient compared to visitors coming directly to the store.
Keywords: “E-Commerce”, “Web Modeling Language (Web ML).
Are e-Cigarette Users at an Increased Risk of Bladder and Lung Cancer?
Authors: Herriges Michael J. , Shapiro Oleg , Jacob Joseph M. , Basnet Alina , Bratslavsky Gennady , Goldberg Hanan 
Published: July 2022

Abstract
IntroductionElectronic cigarette (e-cigarette) smoking and similar novel smoking modalities have raised questions about their impact on various cancers compared with traditional forms of tobacco smoking. Tobacco smoking has been proven to increase the risk of many cancers, including lung (LCa) and bladder (BCa) cancer. Currently, there is little data on how e-cigarette smoking impacts the incidence of these cancers. We investigated whether any disparities exist in the prevalence of LCa and BCa between various smoking histories using a US nationally representative data source.MethodsThis cross-sectional survey-based US study included men and women aged 18+ from the National Health Interview Survey (NHIS) database between 2016-2018. Primary endpoint was self-reported occurrence of LCa and BCa diagnosis. Multivariable logistic regression analyses assessed possible association of various covariates with diagnosis of these cancers. ResultsPrevalence of BCa and LCa was higher in all smoking histories compared to never smokers. Patients with a history of e-cigarette smoking vs. no history of e-cigarette smoking were significantly younger at BCa diagnosis (56.87 [±9.86] vs. 65.00 [±12.60] years, p=0.001). Multivariable logistic regression models showed that a history of cigarette smoking and e-cigarette smoking individually and exclusively was associated with increased ORs of 2.476 (p=<0.001) and 1.577 (p=<0.001) for BCa diagnosis, respectively, and 4.589 (p=<0.001) and 1.614 (p=0.007) for LCa diagnosis, respectively.ConclusionsCompared to never smokers, e-cigarette smoking history was associated with increased risk of LCa and BCa development. Additional studies are needed to better define the public health effects of these novel and unregulated products.
Prediction of Dose Length Product for chest CT Examinations using Artificial Neural Networks (ANN)
Authors: Tekin H. O. , Almisned Faisal , Erguzel T. T. , Abuzaid Mohamed M. , Elshami W. , Ene Antoaneta , Issa shams A.M. , Zakaly Hesham M.H. 
Published: July 2022

Abstract
This study aimed to design an Artificial Neural Network modelling to estimate the remarkable dose length product (DLP) value during the chest computed tomography (CT) examinations for quality assurance in a retrospective, cross-sectional study. The structure of artificial neural networks model was designed considering various input parameters, namely patient weight, patient size, body mass index, mean CT dose index, scanning length, kVp, mAs, exposure time per rotation and pitch factor. The examination details of 1897 chest CT scans were used as retrospective data. Different types of learning algorithms such as Levenberg-Marquardt, Bayesian and Scaled-Conjugate Gradient were checked in terms of the accuracy of the test data. The R-value or the test data was representing the correlation coefficient for the real system and system output is given as 0.97328, 0.82263 and 0.90574 for the Levenberg-Marquardt, Bayesian and Scaled-Conjugate Gradient algorithms, respectively. The findings showed that the Levenberg-Marquardt algorithm comprehensively detects DLP values for chest CT examinations. To meet CT efficiency standards, it may be an effective to use simplified methodology. It can be deduced that artificial intelligence methods can be used to perform high precision DLP on the chest CT exams where the radiation-related risks are particularly great or highly relevant for patients. This type of approaches are effective instruments and can be applied to risk evaluations in the field of diagnostic radiology.
Efficient Quantum State Tracking in Noisy Environments
Authors: Rambach Markus , Youssry Akram , Tomamichel Marco , Romero Jacquiline 
Published: July 2022

Abstract
Quantum state tomography, which aims to find the best description of a quantum state---the density matrix, is an essential building block in quantum computation and communication. Standard techniques for state tomography are incapable of tracking changing states and often perform poorly in the presence of environmental noise. Although there are different approaches to solve these problems theoretically, experimental demonstrations have so far been sparse. Our approach, matrix-exponentiated gradient tomography, is an online tomography method that allows for state tracking, updates the estimated density matrix dynamically from the very first measurements, is computationally efficient, and converges to a good estimate quickly even with noisy data. The algorithm is controlled via a single parameter, its learning rate, which determines the performance and can be tailored in simulations to the individual experiment. We present an experimental implementation of matrix-exponentiated gradient tomography on a qutrit system encoded in the transverse spatial mode of photons. We investigate the performance of our method on stationary and evolving states, as well as significant environmental noise, and find fidelities of around 95% in all cases.
Sequencing Mycobacteria and Algorithm-determined Resistant Tuberculosis Treatment (SMARTT): a study protocol for a phase IV pragmatic randomized controlled patient management strategy trial
Authors: Rie Annelies Van , De Vos Elise , Conceicao Emilyn Costa , Verboven Lennert , Ndbele Felex , Heupink Tim H , Abrams Steven , Fanampe Boitumelo , Dijk Anneke Van der Spoel Van , Charalambous Salome , Churchyard Gavin , Warren Rob 
Published: July 2022

Abstract
Background : Rifampicin-resistant tuberculosis (RR-TB) remains an important global health problem. Ideally, the complete drug-resistance profile guides individualized treatment for all RR-TB patients, but this is only practised in high-income countries. Implementation of whole genome sequencing (WGS) technologies into routine care in low and middle-income countries has not become a reality due to the expected implementation challenges, including translating WGS results into individualized treatment regimen composition. Methods : This trial is a pragmatic, single-blinded, randomized controlled medical device trial of a WGS-guided automated treatment recommendation strategy for individualized treatment of RR-TB. Subjects are 18 years or older and diagnosed with pulmonary RR-TB in four of the five health districts of the Free State province in South Africa. Participants are randomized in a 1:1 ratio to either the intervention (a WGS-guided automated treatment recommendation strategy for individualized treatment of RR-TB) or control (RR-TB treatment according to the national South African guidelines). The primary effectiveness outcome is the bacteriological response to treatment measured as the rate of change in time to liquid culture positivity during the first six months of treatment. Secondary effectiveness outcomes include cure rate, relapse rate (recurrence of RR-TB disease) and TB free survival rate in the first 12 months following RR-TB treatment completion. Additional secondary outcomes of interest include safety, the feasibility of province-wide implementation of the strategy into routine care, and health economic assessment from a patient and health systems perspective. Discussion : This trial will provide important real-life evidence regarding the feasibility, safety, cost, and effectiveness of a WGS-guided automated treatment recommendation strategy for individualized treatment of RR-TB. Given the pragmatic nature, the trial will assist policymakers in the decision-making regarding the integration of next-generation sequencing technologies into routine RR-TB care in high TB burden settings.Trial registration: This trial was registered on the clinical trials.gov register with number NCT05017324 on August 23, 2021.
Short communication: Estimation of metabolizable and digestible energy of Ramon (Brosimum alicastrum Swartz) seed in broilers under tropical conditions
Authors: Montfort-Grajales Sofia , Sarmiento-Franco Luis , Urtecho-Novelo Rosalinda , Sandoval-Castro Carlos 
Published: July 2022

Abstract
The objective of this study was to estimate the apparent metabolizable energy (AME), true metabolizable energy (TME), their digestible coefficients, as well as the apparent ileal digestible energy (AIDE) and apparent ileal digestible coefficient (AIDC) of Ramon (Brosimum alicastrum Sw.) seed meal (RSM). Two experiments were performed using Cobb broilers, in the first experiment, eight birds from a total of 24 broilers (twelve 3-week-old and twelve 6-week-old) were randomly selected for determination of endogenous losses (EL). The sixteen remaining were tube-fed a single dose of RSM and total excreta collection was used. In the second experiment, three diets (100% maize; 40% RSM-60% maize and 60% RSM-40% maize) were made to determine the AIDE and AIDC of each ingredient using the difference method by incorporating titanium dioxide (TiO2) at 5 g/kg. Diets were randomly assigned to a total of 51 7-week-old broilers, distributed in 6, 6 and 5 replicates respectively (three broilers per replicate). No age effect (p > 0.05) was found for both AME (1863 and 1909 kcal/kg for 3 and 6 weeks, respectively) and TME (2234 and 2271 kcal/kg, for 3 and 6 weeks, respectively) of the RSM. The AIDE and AIDC of RSM at 40 and 60% inclusion (2408 and 2538 kcal/kg, and 0.64 and 0.67, respectively) were found to be lower (p < 0.05) than that of maize (3179 kcal/kg and 0.81). It was concluded that the main factor contributing to the decrease in AME, TME, AIDE and AIDC values for RSM was the difference between the chemical composition of this feedstuff and maize, as they have almost the same starch amounts.
Thermal Comfort Assessment of Broiler Birds in Warm and Humid Climate
Authors: Munonye Jane , Munonye Charles C. 
Published: July 2022

Abstract
An experiment was conducted on a poultry farm at the Faculty of Agriculture Alex Ekwueme Federal University in Alike-Ikwo Abakaliki, Nigeria to evaluate the effect of heat stress on the performance and the adaptive actions of 0–8 Weeks broiler birds. During the experiment, the birds were exposed to environmental variables; air temperature, relative humidity, and airflow in two seasons. After the experiment, a strong correlation was found between the ambient temperature, the mortality, and the adaptive behavior of the birds. However, a higher correlation was found during the dry season (.88) compared to the correlation found during the rainy season (.60). Higher mortality of the birds was recorded when the mean indoor ambient temperature hovered around 30.0oC. Feed efficiency was generally lower during the dry season compared to the rainy season, attributed to the higher mean indoor ambient temperature recorded during the dry season. This study suggests the provision of well-ventilated spaces and the planting of trees around poultry houses to enhance the thermal comfort of the birds.
The effect of function in mesenchymal stem cells after bilirubin stimulation
Authors: Zhang Yanqi , Liu Jiang , Wei Hong , Ai Qing , Hu Ya , Sun Qian , Ji Yanchun 
Published: July 2022

Abstract
Objective
Neonatal bilirubin encephalopathy is a serious complication of neonatal hyperbilirubinemia. There is no good treatment for its. At present, human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) therapy has been widely concerned, but its effect on bilirubin encephalopathy is not clear. Therefore, this study intends to explore the stimulation of hUC-MSCs by bilirubin in vitro, and provide theoretical basis for the further treatment of bilirubin encephalopathy with MSCs.
Methods
hUC-MSCs were added in control group (0mg/dL group), and bilirubin concentration group(5 mg/dL, 10 mg/dL and 15 mg/dL) for 12h and 24h. The survival rate after bilirubin stimulation was detected by CCK-8, the adipogenic and osteogenic differentiation was induced to observe the change of differentiation ability, IL-6, TSG-6 level was measured by ELISA, Western boltting measured Bax Bcl-2 caspase 3 protein level.
Results
The number of cells decreased and the morphology did not change significantly. The cell survival rate of each group was statistically significant 12h after bilirubin stimulation (P < 0.001). After induction, there was no significant difference in staining results among all groups. This indicated that bilirubin had no significant effect on the osteogenic adipogenic differentiation of hUC-MSCs.The level of IL-6, TSG-6, Bax, Bcl-2 and capcase-3 increased significantly after bilirubin stimulated MSCs compared with the control group (P < 0.05).
Conclusion
Bilirubin have toxic effects for hUC-MSCs, with the increase of bilirubin concentration will affect the proliferation secretion and apoptosis, but it had no obvious effect on their differentiation ability.