bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calidad microbiológica de las dietas enterales distribuidas en un hospital periférico de Costa Rica
Authors: Ravery Morovati Aria , Coto Varela Rocío , Arias Echandi María Laura 
Published: May 2023

La nutrición enteral se define como el apoyo nutricional dado a pacientes hospitalarios que no son capaces de recibir, por vía oral, al menos dos tercios de sus requerimientos energéticos diarios con el fin de alcanzar un nivel nutricional satisfactorio. Las fórmulas enterales pueden dividirse en dos grandes grupos de acuerdo a la materia prima usada en su formulación, las formulaciones comerciales estériles y las preparadas a partir de ingredientes. Ambos tipos pueden ser una fuente potencial de contaminación microbiológica para los pacientes.El objetivo de este trabajo es evaluar la presencia de indicadores de higiene, contaminación fecal, así como la presencia de Escherichia coli (E. coli), Salmonella spp y Listeria monocytogenes en fórmulas enterales artesanales y comerciales distribuidas en un hospital periférico. Para tal efecto, se analizaron 43 muestras de alimentación enteral, 39,5% correspondieron a muestras artesanales y 60,5% a comerciales. Más de un 60% de las muestras artesanales y un 46% de las muestras comerciales mostraron defectos en higiene y contaminación fecal. Con el fin de conocer el origen de la contaminación se analizaron 3 muestras de agua, así como 10 utensilios utilizados para la preparación y distribución de las fórmulas. El análisis microbiológico del agua resultó negativo para Coliformes totales, fecales y E. coli. El 90 % de los utensilios mostró contaminación con Coliformes totales y 30% con E. coli. Es evidente la contaminación bacteriana que poseen las fórmulas evaluadas, por lo que resulta urgente aumentar y asegurar la higiene durante su preparación y manejo.
Comparative assessment of computational models for the effective tensile strength of nano-reinforced composites
Authors: Duarte-García Mateo , Patiño-Arcila Iván David , Isaza-Merino César Augusto 
Published: May 2023

Some of the most important industries, such as aerospace, automotive, among others, have stipulated new requirements for materials behavior that include high specific, mechanical, and thermal properties. According to this, nanocomposites have emerged to satisfy these requirements. However, manufacturing these nanocomposites implies cost and time-consuming problems that do not allow their use in technological applications; additionally, the lack of knowledge about the prediction of their mechanical properties is an obstacle to its technological implementation. Therefore, several studies have focused on the development of computational models to predict the mechanical behavior of nano-reinforced composites. In the present work, a comparative assessment of the main computational models for predicting the tensile strength of nanocomposites is carried out. Firstly, a new taxonomy of these models is proposed, which allows identifying the main experimental variables, model evolution, and precision. With the categorization, computational algorithms are developed for these models for predicting the tensile strength of nanocomposites, accomplishing a comparative analysis of accuracy, robustness, and time-cost among them. The precision of these models is evaluated by deeming benchmark experimental works focused on the tensile strength of nanocomposites. The results obtained demonstrated a minimum relative error of 44.7%, 10.1%, and 10.6% for First-Generation, Second-Generation, and Third-Generation models, respectively. Moreover, linear and non-linear behaviors were found in the evaluated models, being coherent with the number and kind of parameters required for the assessment.
Clinical and laboratory profiles of invasive fungal infections in COVID-19 patients
Authors: Sheeba Pokkottu M. , Aysha Ali , Sreeram Balachandran , Roshni Jose K. , Mathews Anila A. , Magdalene Kanapilly F. 
Published: May 2023

ABSTRACT
With the COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), many areas in the world witnessed an increase in fungal infections and the corresponding increase in mortality. In our study, we attempted to identify common fungal pathogens encountered in patients with COVID-19 and to find microbiological and histopathological parameters that may help diagnose these etiological agents. The clinical manifestations, demography, and disease outcomes in patients with fungal infections associated with COVID-19 were also studied.
The observational cross-sectional study was performed at the Government Medical College and District Hospital, Palakkad, India. We used case records and laboratory records of patients admitted with COVID-19 and diagnosed with a fungal infection, as well as records of post-COVID-19 patients with fungal infection. The study period covered six months from March to August 2021. The study included 50 patients aged 40-74 years (median: 56 years).
We found that mucormycosis and aspergillosis are important invasive fungal infections that prevail in COVID-19 patients. The most common risk factors associated with these fungal infections include diabetes mellitus and treatment with corticosteroids. KOH (potassium hydroxide) mount test and histopathological examination are very useful methods for etiological diagnostics. The overall mortality rate in the observed patients was 71.4% (85.7% for mucormycosis and 57.1% for aspergillosis). Thus, invasive fungal infections in COVID-19 patients with co-morbidities are associated with a high mortality rate.
Reflexiones sobre la no transferibilidad de los derechos de uso de agua en el Perú
Authors: Ruesta Otoya Favio 
Published: May 2023

En el Perú, el acceso a las fuentes naturales de agua y los derechos relacionados a ello están regulados mediante licencias, permisos y autorizaciones, los cuales comúnmente son intransferibles. Para poder transferirlos se requiere un procedimiento específico, a diferencia de otras licencias del ordenamiento. En este trabajo se analizan las características de los derechos de agua y se plantea una revisión al procedimiento específico para su transferencia.
Herramientas jurídicas frente a desastres ambientales en el aprovechamiento de recursos naturales: acciones y responsabilidades en los derrames de petróleo en mar peruano por Repsol
Authors: Rodrigo Zúñiga Carlos , Villanueva Saire Jesús Daniel , Rivera Torres Aurora 
Published: May 2023

En el presente artículo se abordan las diferentes herramientas legales que existen en el Perú a fin de poder hacer frente a las diversas emergencias ambientales, especialmente, aquellas derivadas del aprovechamiento de recursos naturales por parte de los inversionistas. Esto incluye herramientas de tipo constitucional, administrativo, penal y civil.Igualmente, a fin de poder retratar de forma clara lo antes expuesto, se hará referencia a un caso de estudio ocurrido hace poco tiempo. Este es el caso del derrame de petróleo de Repsol en el mar peruano.
Acuerdo de Escazú: retos ante su ratificación en Colombia
Authors: Mesa Neira Alejandro , Jiménez Lara Camila 
Published: May 2023

El 4 de marzo de 2018 se adoptó el Acuerdo de Escazú, que surgió en la Conferencia de las Naciones Unidas Sobre Desarrollo Sostenible del año 2012, también conocida como Río + 20. Este acuerdo tiene como propósito garantizar la implementación plena de los derechos a la participación pública en procesos de toma de decisiones ambientales, acceso a la información ambiental y acceso a la justicia.En este trabajo se analizan las implicancias que traería para Colombia la ratificación del Acuerdo de Escazú, para posteriormente determinar el impacto de su implementación en el ordenamiento jurídico colombiano.
Understanding the role of cognitive effort within contextual interference paradigms: Theory, measurement, and tutorial
Authors: Getchell Nancy , Shewokis Patricia 
Published: May 2023

BACKGROUND:“Contextual interference” (CI) describes a counterintuitive phenomenon related to practice organization when learning multiple tasks that are presented in a non-repetitive order. In CI, the lack of repetitiveness introduces a high level of interference within the learning context such that task performance during initial skill acquisition is frequently poorer than if tasks are practiced in a repetitive fashion. However, these learners often perform better on retention and transfer tasks than individuals who learn within a low CI environment.
AIM:We provide a tutorial on several novel ways in which researchers can investigate brain activity in a CI paradigm using functional near-infrared spectroscopy: Relative neural efficiency (RNE), relative neural involvement (RNI), and laterality index (LI).
METHOD:RNE integrates measures of cognitive effort and behavioral performance; in high CI learning environments, RNE should initially be poor (high cognitive effort, low behavioral performance), then improve during retention and transfer. RNI provides an index of the relationship among motivation, mental effort, and performance. Finally, LI allows for the exploration of lateralization between the two hemispheres of the cerebral cortex.
RESULTS:Significant differences were found for total hemoglobin, RNE and LI for the right and left prefrontal cortex regions. The differences were accompanied by moderate-to-large effect size with random using less effort, better performance and was more oriented to goal orientation and learning processes than blocked who focused more on visuomotor attentional components and used more effort with lower behavioral performance scores.
CONCLUSION:RNE, RNI, and LI provide innovative methods to better understand cognitive effort within CI paradigms.
Hubungan Health Literacy dengan Pola Menyusui pada Ibu Nifas
Authors: Fatmawati Atikah , Suhartanti Ika , Rahmawati Diana Eka 
Published: May 2023

Latar Belakang: Makanan terbaik bagi bayi adalah Air Susu Ibu (ASI), karena mengandung zat gizi lengkap, higienis, dan aman. Pemberian ASI tidak lepas dari pola menyusui yang diterapkan. Salah satu faktor yang menentukan penerapan pola menyusui pada ibu sesuai kebutuhan bayi adalah Health Literacy (HL).
Tujuan: Mengetahui hubungan health literacy dengan pola menyusui pada ibu nifas di Rumah Sakit Lavalette Malang.
Metode: Jenis penelitian yang digunakan adalah studi cross-sectional. Populasi penelitian adalah seluruh ibu nifas. Teknik sampling yang digunakan adalah quota sampling, dengan jumlah 30 responden. Data dikumpulkan dengan menggunakan kuesioner Short-Form Health Literacy Questionnaire (HLS-SF-12Q) dan kuesioner pola menyusui. Data kemudian dianalisis menggunakan uji spearman-rank (α<0,05).
Hasil: Hasil penelitian didapatkan sebagian besar responden memiliki HL (56,7%) dan pola menyusui (56,7%) dalam kategori baik. Berdasarkan perhitungan uji statistik didapatkan p value=0,012, maka ada hubungan yang signifikan antara HL dengan pola menyusui pada ibu nifas. Nilai koefisien korelasi didapatkan 0,455 yang menunjukkan kekuatan hubungan bersifat sedang.
Kesimpulan: Dengan memiliki HL yang baik, ibu dapat menerapkan pola menyusui yang tepat, memilih durasi, frekuensi, serta posisi menyusui yang baik, sehingga memberikan dampak positif selama proses menyusui. Hal tersebut juga mengurangi peluang gagal ASI eksklusif. Tenaga kesehatan disarankan untuk lebih masif memberikan edukasi terkait pola menyusui dan penerapannya, serta meningkatkan HL dengan cara bijak dan positif.
The Exploratory Sequential Design With Generalized Linear Models for the Learning Strategy Analysis
Authors: Zhang Zhidong , Ramos Liza 
Published: May 2023

The researchers explored a mixed methods research design through the analysis of a set of interview data. Saldana’s model was utilized to complete the opening coding data and thematic coding data. Three themes were recognized to support the cooperative learning models. These included: a) Knowing by Undergone Events and Contexts, b) Implementation and Action, and c) Opinions and Perceptions, which consisted of a Cooperative Learning Model (CLM). The frequencies of the terms and phrases consisted of the evidence variables. A generalized linear model (GeLM) was utilized to examine the relationship between the three themes and Cooperative Learning Model. The GeLM analysis reported the relationships between the CLM and three themes. This was a new practice to integrate Saldana’s qualitative data analysis and the GeLM into one mixed methods design.
Multitouch Options
Authors: Guillaume Tristan 
Published: May 2023

In this article, the multitouch option, also called the n  touch option (or the “baseball” option when
n  3 ) is analyzed and valued in closed form. This is a kind of barrier option that sets a gradual knockout / knock-in mechanism based on the number of times the underlying asset has crossed a predefined barrier in various time intervals before expiry. The higher the number of predefined time intervals during which the barrier has been touched, the lower the value of a knock-out contract at expiry, and conversely for a knock-in one. Multitouch options can be viewed as an extension of step barrier options, preserving the ability of the latter to adjust the exposure to risk over time, while eliminating the notorious danger of “sudden death” that holders of step barrier options are faced with. Unlike occupation time derivatives, the payoff at expiry does not depend on the amount of time spent outside the authorized range, but on the number of passages beyond the authorized range.
The Neutrino Mass Problem: From Double Beta Decay to Cosmology
Authors: Civitarese Osvaldo 
Published: May 2023

The neutrino is perhaps the most elusive member of the particle zoo.
The questions about its nature, namely: Dirac or Majorana, the value
of its mass and the interactions with other particles, the number of its
components including sterile species, are long standing ones and still re-
main in large extent without conclusive answers. From the side of the
nuclear structure and nuclear reactions, both theories and experiments,
the need to elucidate these questions have, and still has, prompt crucial
developments in the fields of double beta decay, double charge exchange
and neutrino induced reactions. The measurements of neutrino flavor os-
cillation parameters contribute largely to restrict models with massless
neutrinos. From the particle physics side, the possibilities to extent the
standard model of electroweak interactions to incorporate a right handed
sector of the electroweak lagrangian are directly linked to the adopted neu-
trino model. Here, I would like to address another aspect of the problem
by asking the question of the neutrino mass mechanism in the cosmological
context, and particularly about dark matter.
Association Between Radiographic and Clinical Outcomes Following Distal Radial Fractures
Authors: Schmidt Viktor , Gordon Max , Tägil Magnus , Sayed-Noor Arkan , Mukka Sebastian , Wadsten Mats 
Published: May 2023

Background:
Several studies of distal radial fractures have investigated final displacement and its association with clinical outcomes. There is still no consensus on the importance of radiographic outcomes, and published studies have not used the same criteria for acceptable alignment. Previous reports have involved the use of linear or dichotomized analyses.

Methods:
The present study included 438 patients who were managed with either reduction and cast immobilization or surgery for the treatment of distal radial fractures. Radiographic outcomes were determined on the basis of radiographs that were made 3 months after the injury. Clinical outcome was determined on the basis of the QuickDASH (an abbreviated version of the Disabilities of the Arm, Shoulder and Hand [DASH] questionnaire) score, range of motion, and grip strength at 1 year after the injury. Nonlinear relations were analyzed with cubic splines.

Results:
Three hundred and sixty-six patients (84%) had both radiographic and clinical follow-up. Seventy patients were lost to follow-up. The mean age was 57 years (range, 18 to 75 years), and 79% of the patients were female. Dorsal tilt was the radiographic parameter that was most strongly associated with the QuickDASH score, grip strength, and range of motion. We found nonlinear relations. Clinical outcomes were found to worsen with increasing dorsal tilt, with the cutoff value being approximately 5°.

Conclusions:
We found that clinical outcomes following distal radial fractures have a nonlinear relationship with dorsal tilt, with worse outcomes being associated with increasing dorsal tilt. The decline in clinical outcome starts at 5°, but there is unlikely to be a noticeable difference in capability as measured with the QuickDASH until 20° of dorsal tilt (based on the minimum clinically important difference) in a population up to 75 years old.

Level of Evidence:
Diagnostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Modeling Flow and Transport in Saline Aquifers and Depleted Hydrocarbon Reservoirs for Hydrogen Energy Storage
Authors: Delshad M. , Alhotan M. M. , Fernandes B. R. B. , Umurzakov Y. , Sepehrnoori Kamy 
Published: May 2023

Summary
Hydrogen (H2) is an attractive energy carrier, and its true potential is in decarbonizing industries, such as for providing heat for buildings and being a reliable fuel for trains, buses, and heavy trucks. Industry is already making tremendous progress in cutting costs and improving the efficiency of hydrogen infrastructure. Currently, heating is primarily provided by using natural gas and transportation by gasoline with a large carbon footprint. Hydrogen has a similarly high energy density, but there are technical challenges preventing its large-scale use as an energy carrier. Underground geologic storage of hydrogen in porous media (aquifers and hydrocarbon reservoirs) could offer substantial storage capacity at low cost as well as buffer capacity to meet changing seasonal electricity demands or possible disruptions in power supply. Underground geologic storage must have adequate capacity and ability to inject/extract high volumes with a reliable caprock. A thorough study is essential for a large number of site surveys to locate and fully characterize the subsurface geological storage sites both onshore and offshore. An isothermal compositional reservoir simulator was used to evaluate hydrogen storage and withdrawal from saline aquifers and depleted oil/gas reservoirs. The phase behavior, fluid properties, and petrophysical models were all calibrated against published laboratory data for density, viscosity, relative permeability, and capillary pressure for a given site. History-matched dynamic models of two CO2 injection field projects in saline aquifers and one natural gas storage in a depleted oil reservoir were considered as hypothetical hydrogen seasonal storage sites. A wide range of working gas volume/cushion gas volume ratios was observed, meaning that careful optimization is required for a successful storage project. For the aquifer cases, the range was 0.292 to 1.883 and a range of 1.045 to 4.4 was observed for the depleted hydrocarbon reservoir scenarios. For the saline aquifer cases, a higher injection rate, longer injection/withdrawal (I/W) cycles, and the use of pump wells to control the hydrogen plume spreading were all beneficial for improving the working gas/cushion gas ratio and the working gas volume. Plume control was important for storage in the oil reservoir in which changes in the well length location and orientation showed high sensitivity in the working and cushion gas volumes. Sensitivities to the initial gas saturation in the depleted gas reservoir scenarios suggested that both cushion and working gas volumes increased with the initial gas saturation while the ratio of working to cushion gas volumes decreased with the initial gas saturation. Finally, when comparing the ratios of working to cushion gas volumes, it was the highest for the depleted oil reservoir, followed by the depleted gas reservoir, and the aquifer.
Data-Driven Analysis of Stimulation Treatments Using Association Rule Mining
Authors: Ahmadi Rouholah , Aminshahidy Babak , Shahrabi Jamal 
Published: May 2023

Summary
Effective analysis of data collected during the well’s operational cycle is crucial to well performance, economic evaluation, and good decision-making in the upstream oil industry. Generally, the analysis of huge volumes of data stored in databases is beyond the power of traditional methods, such as curve-fitting and statistical hypothesis testing. Data mining is the practice of analyzing large databases to identify patterns, anomalies, and correlations, within the data, leading to new, hidden, and valuable knowledge that would support decisions. This article proposes a data-driven methodology for analyzing the stimulation operations data in oil/gas wells to identify the underlying rules or patterns that lead to successful operations. Association rule mining (ARM) is used in this research for rule induction purposes. The proposed approach aims to mine the frequently occurring rules, within the collected database, that guarantee the success of stimulation operations with a high degree of confidence. Finally, the proposed approach is evaluated against a set of real data from an Iranian oil field. On the basis of past stimulation operations, these extracted rules show the conditions that are most likely to lead to a successful operation. The rules identified by the proposed approach are compared against the rules that can be generated by the decision tree (DT) technique using the same data set. As the reliability of the rules is controlled by setting the minimum thresholds on support and confidence, more significant and useful rules could be derived from ARM compared to the DT technique. Using the identified rules and generated information can support the operational decisions by assisting in the design of due stimulation jobs or in selecting the appropriate candidates for future operations.
Photocatalytic Degradation of Methylene Blue Dye With Phyto-enhanced Zinc Oxide Doped With Nitrogen
Authors: Nnodim Uche Jude , Akpan Uduak 
Published: May 2023

Abstract
The removal of organic pollutants from wastewater through chemical techniques has become imperative for the preservation of the ecosystem due to the non-biodegradability of organic pollutants. In this study, phyto-enhanced Zinc oxide (ZnO) was prepared from an aqueous solution of Zinc nitrate hexahydrate and Papaya leaf extracts. Preliminary degradation of MB dye with phyto-enhanced ZnO of different compositions for the dopant (nitrogen) revealed that phyto-enhanced ZnO doped with 5wt% Urea had superior photocatalytic capabilities than pure ZnO, 10wt% Urea and 2wt% Urea doping. The effects of solution pH, 5wt%Urea, N-ZnO dosage and initial solution concentration on MB dye on degradation were studied, and optimum percentage degradation of 83% and 97.5% were observed for pure ZnO and 5wt%UreaN-ZnO at solution pH of 9.0, initial concentration of 10 mg/L and photocatalyst dosage of 100 mg. Scanning Electron Microscope (SEM), X-ray Diffraction (XRD), Brunauer-Emmett-Teller (BET) and Fourier Transform Infrared Spectroscopy (FTIR) were used to characterize the catalyst. The BET result revealed surface area of 113.3cm2/g for the 5wt% Urea N-ZnO which was five times the surface area pure ZnO. The shift in the XRD pattern for 5wt% Urea N-ZnO affirmed the presence of dopants in the crystalline structure of ZnO. The average crystallite sizes of pure ZnO and 5wt% N-ZnO were 34.7nm and 24.8nm, respectively. The findings from this research revealed green synthesis and doping improves the degradation ability of ZnO, which often leads to increased efficiency of wastewater treatment processes/systems.