bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aplicación del Modelo MMGO en la Corporación “Red Mujer” Usme-Bogotá 2020
Authors: Vargas Guzman Wilson Camilo , Briceño Neuque Ángela Patricia , Gomez Ardila Janeth Liliana 
Published: July 2022

Desde hace algunos años, se viene investigando alrededor de la economía solidaria, la cual tiene un campo de investigación social bastante amplio, entre ellos el cooperativismo, que busca consolidar el trabajo mancomunado que se desarrolla entre organizaciones a favor de la sociedad, en general. En el marco de un ejercicio investigativo que se llevó a cabo en la Universidad Minuto de Dios, sobre los niveles de desarrollo y posicionamiento en el mercado de las organizaciones con enfoque social, se procedió a seleccionar un modelo que identificara y calificara el quehacer de las organizaciones y se optó por el Modelo de Modernización para la Gestión de las Organizaciones (MMGO), propuesto por la Universidad EAN. Luego, se seleccionó una entidad que estuviera activamente aportando a la economía solidaria desde su accionar, esto es, la Corporación de Mujeres Campesinas “Red Mujer”, ubicada en la localidad de Usme y que apoya a mujeres campesinas. La aplicación del MMGO permitió, primero, conocer la situación actual de la Corporación y, segundo, describir el estado en el que se encuentran 16 componentes estratégicos. En este artículo, se detallan los resultados y las recomendaciones que se le brindaron a la “Red Mujer” para que siga fortaleciendo su quehacer empresarial en un mercado altamente competitivo, sin dejar de lado su razón de ser: apoyar las mujeres campesinas.
Stress and organs and tissues procurement for transplantion: the experience of nurses - a dissertation abstract
Authors: Guarino Aparecida de Jesus , Bianchi Estela RF 
Published: July 2022

ABSTRACT

The purpose of this study is to know and compare the stressors and the health condition of the nurses whose job is in the organ and tissue procurement transplantation. Seventeen nurses comprised the sample and they were from three Organs and Tissues Procurement Organizations (OPO), a governmental organization, in São Paulo- Brazil. Participants filled out two questionnaires. Job stress was assessed with the 39-item scale. It is a Likert-type scale with 1 - 7 response options, "1" indicating no stressed and "7" indicating a strong stressed with the item. A higher score on the scale indicated a higher degree of job stress. Health problems were assessed by 54- item questionnaire, with "1" indicating no problem and "3" indicating frequent problem. Stressors were classified as interpersonal relationship, nursing care, unit administration, knowledge and abilities; self perception and work conditions. The data from health condition could be: 0 to 42 as "good" health, 44 to 87 as "regular" and 88 to 130 as "bad". Fisher and Kruskal-Wallis correlation tests were used to analyse the data. Cronbach's alpha coefficients assessing internal consistency were 0.9040. Questionnaires were distributed and collected by author, with anonymity being assured for each respondent. The majority of the respondents were female (51.8%), from 21 to 30 years old (70.6%) and had from 1 to 5 years as transplantation nurse (76.5%). The findings seemed to indicate that nurses were stressed. Stressors classified as "self perception" were the most stressed, and the range was from 5.06 to 7.0 and the less stressed items were approached by "interpersonal relationship" with the range of 3.55. Associations statistically significant were observed: female and "work conditions" (p= 0.024) that means that woman had more stress than man; more than 5 years after completed education had more stress and "self perception" (p= 0.002); and who worked more than 5 years in OPO and "self perception" (p= 0.011). Although those results as stressed nurses, their health condition was considered as "good" (76.5%). There was no significant correlation between stress level and health condition. Nurses and hospitals administration need to be more aware of stressors that influence nurses as organ and tissue procurement transplantation. Stress inoculation training which teaches nurses appropriate coping skills could be implemented.
Key words: nurses job; nursing; transplantation
Work process of the health teams: therapeutically perspective. Preview note
Authors: Cardoso Glauco B , Abraão Ana Lúcia 
Published: July 2022

This is a research Project of the Pos-graduation Program Strictu Senso – Professional Master’s Degree – Assistant Nursing – of the Aurora de Afonso Costa Nursing Scholl/UFF, Niterói/Rio de Janeiro. The aim of this study is: to describe and to analyze the working process put into practice by the health care team in a public health care establishment.
It is a qualitative study which has the purpose of presenting proposals for changes in the quality of the hospital’s attendance, through specific actions of the health care team.
Pharmacoeconomic analysis of the use of a fixed combination of tiotropium bromide and olodaterol as maintenance therapy in patients with chronic obstructive pulmonary disease in the Russian Federation
Authors: Zyryanov S. К. , Dyakov I. N. 
Published: July 2022

Objective: to evaluate the pharmacoeconomic effectiveness of the use of a fixed double combination of tiotropium bromide + olodаterol in order to treat chronic obstructive pulmonary disease (COPD) in comparison with less expensive monotherapy with long-acting beta-2-agonists (LABA) or long-acting anticholinergics (LAAC) with its insufficient effectiveness.Material and methods. The analysis of the impact on the health care system budget of the use of a fixed double chemical combination was carried out. The combination used was the one of tiotropium bromide + olodаterol in patients suffering from COPD who do not achieve effective disease control during LABA or LAAC monotherapy. We used published data on the distribution of patients into groups according to the classification of the Global Initiative for Chronic Obstructive Lung Disease (GOLD), also according to the therapy used and the frequency of exacerbations with hospitalization, obtained in a Russian epidemiological study. Direct and indirect costs associated with basic therapy and treatment of exacerbations requiring hospitalization were estimated as well.Results. Previously, it was shown that about 21.8% of patients with GOLD D severity of COPD receive therapy of insufficient efficacy (LABA monotherapy or long-acting M-cholinolytics). The use of a fixed combination of tiotropium bromide + olodaterol in such patients instead of monotherapy will reduce the direct costs of hospitalization by 21.1%, and the total costs (direct and indirect) – by 4.6%. On the scale of the Russian Federation, this will save 17.2 billion rubles a year.Conclusion. The results obtained showed that, despite the reasonably high cost of a fixed double combination in comparison with monopreparations, the use of double bronchodilating therapy allows to achieve more effective treatment and reduces both direct medical costs associated with hospitalization of patients with exacerbations of COPD, and direct non-medical and indirect costs associated with absenteeism of patients to work due to temporary disability as a result of hospitalization.
The Outcome of Endodontic Regeneration in a Delayed Replanted Immature Permanent Incisor: A TurboReg Analysis of a Case
Authors: Sheikhnezami Mahshid , Azarpazhooh Amir , Mokhber Aghaghia , Shamsian Khosro , Bagheri Mina , Jafarzadeh Hamid 
Published: July 2022

Objectives: The aim of this case report is to address a delayed replantation and successful regenerative endodontic procedure of an avulsed immature permanent incisor which was confirmed by TurboReg analysis. Study design: In this case, regenerative endodontic procedure was performed on an avulsed tooth with a delayed replantation in a 7 year old boy. In the emergency visit after the avulsion accident in February 2017, the tooth was replanted and one week later regenerative endodontic procedure began. After 17 months follow up, in July 2018, root wall thickness and length increase was confirmed by TurboReg analysis.Conclusion. The outcome of this treatment was evaluated by TurboReg analysis which was a remarkable increase in root length and dentinal wall thickness, despite of the delayed replantation.
Clinical Significance. This case report helps to add to the literature for treatment plan in avulsion traumatic injuries.
Predictive Model and Probabilistic Assessment of Sliding Displacement for Regional Scale Seismic Landslide Hazard Estimation in Iran
Authors: Jafarian Yaser , Lashgari Ali , Haddad Abdolhosein 
Published: July 2022

AbstractA semiempirical model is presented to predict earthquake-induced sliding displacement of earth slopes based on earthquake records of the Iran plateau. The earthquake database selected for the analyses contains 3319 records (of two horizontal components) of ground acceleration relative to 738 earthquakes that occurred in Iran. The predictive model is a function of Arias intensity, yield acceleration coefficient, and the slip length of sliding mass. The performance of the proposed model was tested by comparing its predictions with those of other regional and global models. As an example of possible application of the proposed model, fragility curves are presented, which were calculated according to three damage levels.
Performance of Deep Learning Pickers in Routine Network Processing Applications
Authors: García José Enrique , Fernández-Prieto Luis M. , Villaseñor Antonio , Sanz Verónica , Ammirati Jean-Baptiste , Díaz Suárez Eduardo A. , García Carmen 
Published: July 2022

Abstract
Picking arrival times of P and S phases is a fundamental and time-consuming task for the routine processing of seismic data acquired by permanent and temporary networks. A large number of automatic pickers have been developed, but to perform well they often require the tuning of multiple parameters to adapt them to each dataset. Despite the great advance in techniques, some problems remain, such as the difficulty to accurately pick S waves and earthquake recordings with a low signal-to-noise ratio. Recently, phase pickers based on deep learning (DL) have shown great potential for event identification and arrival-time picking. However, the general adoption of these methods for the routine processing of monitoring networks has been held back by factors such as the availability of well-documented software, computational resources, and a gap in knowledge of these methods. In this study, we evaluate recent available DL pickers for earthquake data, comparing the performance of several neural network architectures. We test the selected pickers using three datasets with different characteristics. We found that the analyzed DL pickers (generalized phase detection, PhaseNet, and EQTransformer) perform well in the three tested cases. They are very efficient at ignoring large-amplitude transient noise and at picking S waves, a task that is often difficult even for experienced analysts. Nevertheless, the performance of the analyzed DL pickers varies widely in terms of sensitivity and false discovery rate, with some pickers missing a significant percentage of true picks and others producing a large number of false positives. There are also variations in run time between DL pickers, with some of them requiring significant resources to process large datasets. In spite of these drawbacks, we show that DL pickers can be used efficiently to process large seismic datasets and obtain results comparable or better than current standard procedures.
Combined Large-NSeismic Arrays and DAS Fiber Optic Cables across the Hengill Geothermal Field, Iceland
Authors: Obermann Anne , Sánchez-Pastor Pilar , Wu Sin-Mei , Wollin Christopher , Baird Alan F. , Isken Marius Paul , Clinton John , Goertz-Allmann Bettina P. , Dahm Torsten , Wuestefeld Andreas , Shi Peidong , Lanza Federica , Gyger Lea , Wetter Selina , Hjörleifsdóttir Vala , Langet Nadege , Brynjarsson Baldur , Jousset Philippe , Wiemer Stefan 
Published: July 2022

AbstractFrom June to August 2021, we deployed a dense seismic nodal network across the Hengill geothermal area in southwest Iceland to image and characterize faults and high-temperature zones at high resolution. The nodal network comprised 498 geophone nodes spread across the northern Nesjavellir and southern Hverahlíð geothermal fields and was complemented by an existing permanent and temporary backbone seismic network of a total of 44 short-period and broadband stations. In addition, we recorded distributed acoustic sensing data along two fiber optic telecommunication cables near the Nesjavellir geothermal power plant with commercial interrogators. During the time of deployment, a vibroseis survey took place around the Nesjavellir power plant. Here, we describe the network and the recorded datasets. Furthermore, we show some initial results that indicate a high data quality and highlight the potential of the seismic records for various follow up studies, such as high-resolution event location to delineate faults and body- and surface-wave tomographies to image the subsurface velocity structure in great detail.
Dengue Fever Dynamics in Bali, Indonesia 2010-2018: An Interplay of Population Density and Climatic Factors
Authors: Yudhastuti Ririh , Dimjati Lusno Muhammad Farid , Mirasa Yudied Agung , Husnina Zida 
Published: July 2022

Dengue Fever (DF) incidence in Bali has been the highest in Indonesia for decades. This study describes the annual distribution of DF and analyzes its association with population density, number of rainy days, and average humidity during 2010-2018 at the district level. The choropleth maps and Poisson regression were employed to provide geographical distribution and quantify the association. The P, 95% confidence interval (CI), and Akaike Information Criterion (AIC) were adopted to assess the significance and the goodness of the association. During 2010-2018 there were 55 215 new DF cases notified. The annual incidence of dengue cases in Bali increased with IRR: 1.000186 (95% CI:1.0000183:1.000189) for every increment of population density per kilometers square and increased by IRR: 1.01043 (95% CI: 1.01019: 1.01078) for every additional one rainy day annually. The dengue cases also increased with IRR 1.0172 (95% CI: 1.0137: 1.0208) for every 1% increase in average humidity. Population density and climate factors are positively associated with dengue cases incidence in Bali from 2010 to 2018. The results underline the urgency of integrating population dynamics and climatic determinants into the DF control program and customizing the intervention program based on local characteristics.
Effect of Nitrogen, Phosphorus and Potassium on Yield, Quality, Nutrient Content and Uptake on Hybrid Maize (Zea mays L.)
Authors: Ram K.V. , Raj A.D. , Patel K.H. 
Published: July 2022

Background: Maize (Zea mays L.) is one of the most versatile emerging crops having wider adaptability under varied agro-climatic conditions. Nitrogen though an expensive input is very important as it is intimately involved in the process of photosynthesis and directly reflected in the total dry matter production. Phosphorus is involved in a wide range of plant processes from permitting cell division to the development of a good root system and for ensuring timely and uniform ripening of the crop. Potassium plays a vital role as macronutrient in plant growth and sustainable crop production. The current study aimed to study the effect of nitrogen, phosphorus and potassium on yield, quality, nutrient content and uptake on hybrid maize (Zea mays L.) under south Gujarat condition. Methods: A field experiment was conducted during rabi season of the year 2019-20 to study the effect of different levels of nitrogen, phosphorus and potassium on yield, quality, nutrient content and uptake by hybrid maize (Zea mays L.). In this experiment twelve treatment combinations consisting of three levels of nitrogen fertilizer, two levels of phosphorus fertilizer and two levels of potassium fertilizer were tried in factorial randomized block design with three replications. The protein content and nitrogen, phosphorus, potassium content and their uptake by seed and stover and available nitrogen, phosphorus, potassium status in the soil after harvest of the crop were determined by different methods. Result: The result showed that quality parameter viz., crude protein content, crude protein yield, nutrient content and uptake by grain and straw of hybrid maize were increased with the increased in nitrogen (180 kg N ha-1), phosphorus (60 kg P2O5 ha-1) and potassium (30 kg K2O ha-1) level.
Response of Super Early Varieties of Pigeonpea to Crop Geometry under Rainfed Conditions
Authors: Sujathamma P. , Nedunchezhiyan M. , Naik B. Santhosh Kumar 
Published: July 2022

Background: In Sri Potti Sriramulu Nellore district of Andhra Pradesh long duration varieties of pigeonpea (160-180 days) is grown during rabi under rainfed conditions. Late or advancement of north east monsoon, prolonged breaks and early cessation of rainfall may have devastating effects on pigeonpea yield in rainfed areas of Sri Potti Sriramulu Nellore district, Andhra Pradesh even if the mean annual rainfall is normal. In this context, there is a need for introduction of suitable super early varieties of pigeonpea which are ideal even under changing climatic situations, with suitable crop geometry to enhance the yields of pigeonpea. Method: A field experiment was conducted during rabi, 2018-19 and 2019-20 at Agricultural Research Station, Podalakur, Sri Potti Sriramulu Nellore andhra Pradesh, to find out the suitable super early variety of pigeonpea and their response to different crop geometries. The present field experiment was laid out in a split plot design with 4 varieties of pigeonpea (V1: ICPL 20338; V2: ICPL 20325; V3: ICPL 11255; V4: LRG 52) as main plot treatments and 3 crop geometries (S1: 30 cm x 15 cm; S2: 45 cm x 15 cm); S3: 60 cm x 15 cm) as subplot treatments and replicated thrice. Results: Super early variety ICPL- 20325 recorded the highest mean grain yield (1098 kg ha-1) among the four varieties of pigeonpea tested. Among the three crop geometries tested significantly the highest grain yield (930 kg ha-1) was recorded at 45 cm x 15 cm. Super early varieties ICPL- 20325 (1256 kg ha-1), ICPL- 11255 (930 kg ha-1) and ICPL- 20338 (817 kg ha-1) recorded higher mean grain yield at crop geometry of 45 cm x 15 cm. LRG-52 (996 kg ha-1) variety recorded higher grain yield at crop geometry of 60 cm x 15 cm.
Perbandingan Puisi “Doa” Karya Chairil Anwar dan “Tuhanku” Karya Herawati Mansur
Authors: Sti M Ratri , Wulandari Yosi 
Published: July 2022

Penelitian ini dilatarbelakangi oleh kesamaan tema dalam puisi “Doa” karya Chairil Anwar dan puisi “Tuhanku” karya Herawati Mansur. Tujuan penelitian ini adalah untuk mendeskripsikan persamaan dan perbedaan kedua puisi tersebut. Metode yang digunakan pada penelitian ini yaitu deskriptif komparatif. Sumber data yang digunakan yaitu puisi “Doa” dari Chairil Anwar dan puisi “Tuhanku” dari Herawati Mansur. Penelitian ini menggunakan pendekatan intertekstualitas. Hasil penelitian ini adalah persamaan dan perbedaan dari kedua puisi tersebut. Persamaanya meliputi penggunaan diksi, majas hiperbola, dan pemaknaan dalam larik puisi. Sedangkan perbedaannya meliputi judul, larik, dan amanat. Puisi “Doa” memiliki 16 larik sedangkan puisi “Tuhanku” memiliki 18 larik. Puisi “Doa” memiliki amanat mengajak pembaca untuk merenungkan dan menghayati hidup. Sedangkan, puisi “Tuhanku” memiliki amanat sebagai makhluk harus senantiasa patuh dan beriman kepada Tuhan.
AGE AND BODY MASS INDEX IN TYPE I ENDOMETRIAL CANCER GRADE
Authors: Gilang Adi Firmansyah  , Dyah Fauziah  , Brahmana Askandar Tjokroprawiro3  
Published: July 2022

Highlights:
1. The major risk factors for type I endometrial cancer, namely age and obesity, play a major role in the increase in this case and are thought to be related to the grade in these cancer patients.2. Type I endometrial cancer patients at Dr. Soetomo General Academic Hospital 2019-2020 are dominated by patients diagnosed at the age of 56-65 years, having an overweight body mass index (23-24.9 kg/m2).3. The patient's age and body mass index did not correlate with endometrial cancer type I grade.
Abstract
Background: The increase in obesity and life expectancy has contributed to type I endometrial cancer cases worldwide. Increased risk factors play a role in the increase of these cases. Objectives: To determine the relationship between age and BMI with the cancer grade. Material and Method: This research was a cross-sectional study. The data were obtained from the patient’s medical records. The sampling technique was total sampling. The analysis used was Spearman Rho correlation test for the relationship between age and BMI with cancer grade. Results: This study recorded 54 patients with type I endometrial cancer in Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, from 2019 to 2020. The patients were from the age group 56-65 years 25 patients (46.30%), 46-55 years 17 patients (31.48%), 36-45 years 8 patients (14.81%), 26-35 years 2 patients (3.7%), and >65 years 2 patients (3.7%). For BMI, the patients were overweight (23-24.9 kg/m2) 21 patients (38.89%), normal (18.5-22.9 kg/m2) 14 patients (25.93%), obesity (25-29.9 kg/m2) 12 patients (22.22%), and obesity II (≥30 kg/m2) 7 patients (12.96%). For grade, grade III were 22 patients (40.75%), grade II 20 patients (37.04%), and grade I 12 patients (22.22%). There was a weak, insignificant positive correlation between age with grade (ρ=0.116, 0.405>α=0.05) and a weak, insignificant negative correlation between BMI with grade (ρ=-0.206, 0.135>α=0.05). Conclusion: A total of 54 patients with type I endometrial cancer at Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, from 2019-2020 aged 56-65 years and overweight (23-24.9 kg/m2) with grade III cancer. The patient's age and BMI did not correlate with the patient's grade.
The Missing COVID-19 Demographic Data: A Statewide Analysis of COVID-19–Related Demographic Data From Local Government Sources and a Comparison With Federal Public Surveillance Data
Authors: Aliseda-Alonso Angel , Lis Sara Bertran de , Lee Adam , Pond Emily N. , Blauer Beth , Rutkow Lainie , Nuzzo Jennifer B. 
Published: July 2022

Objectives. To collect and standardize COVID-19 demographic data published by local public-facing Web sites and analyze how this information differs from Centers for Disease Control and Prevention (CDC) public surveillance data. Methods. We aggregated and standardized COVID-19 data on cases and deaths by age, gender, race, and ethnicity from US state and territorial governmental sources between May 24 and June 4, 2021. We describe the standardization process and compare it with the CDC’s process for public surveillance data. Results. As of June 2021, the CDC’s public demographic data set included 80.9% of total cases and 46.7% of total deaths reported by states, with significant variation across jurisdictions. Relative to state and territorial data sources, the CDC consistently underreports cases and deaths among African American and Hispanic or Latino individuals and overreports deaths among people older than 65 years and White individuals. Conclusions. Differences exist in amounts of data included and demographic composition between the CDC’s public surveillance data and state and territory reporting, with large heterogeneity across jurisdictions. A lack of standardization and reporting mechanisms limits the production of complete real-time demographic data.