bluuebunny/crossref_metadata_2025 huggingface dataset:
Model Ketahanan Keuangan Syariah
Authors: Indrarini Rachma , Samsuri Andriani
Published: June 2022

The COVID-19 pandemic has had an adverse impact on the economy. Many people have lost their jobs but the necessities of life have increased. Society needs a model to make sharia financial resilience. This study aims to formulate a model of Islamic financial resilience, especially for Muslims by looking at three indicators are Islamic financial literacy, Islamic financial planning and Islamic financial inclusion. This research uses quantitative research with multiple linear regression. The result of this research is that Islamic financial literacy has no affect on sharia financial resilience. Islamic financial planning has not affect on sharia financial resilience. Islamic financial inclusion has affects on sharia financial resilience and together Islamic financial literacy, Islamic financial planning and Islamic financial inclusion has affect on sharia financial resilience
The Power of Dai- Dai Virtual: Peran Dakwah dalam Literasi Pesan terkait Covid 19 di Era Post Truth
Authors: Khadijah Arnus Sri , Prio Utomo Agus , Mamis Subriah
Published: June 2022

Facts and news hoaxes about Covid-19 are widely scattered in the media. This creates panic and confusion in the audience. In the midst of public confusion about the confusion of information, on the other hand the figure of a preacher or "virtual opinion leader" often provides views on topics circulating in society and social media from an Islamic point of view, through the da'wah they convey. This study aims to examine the role of virtual dai-dai in providing literacy to the public regarding Covid 19 messages on social media. This type of research is descriptive qualitative. Data collection was done by interview method. This research was conducted in Baruga District, Kendari City. The criteria for informants are in the age range of 17-30 years, social media users, and often access religious lectures from social media such as YouTube, Instagram and Facebook. Based on the results of the study, the virtual dai-dai who gave the most literacy to messages related to Covid 19 were Ustadz Das'at Latief, Ustadz Somad and Aa Gym. Ustadz Das'at Latif relatively often appears to give explanations regarding Covid 19, both in mainstream media and in virtual media, even the Ministry of Health uses him in public service advertisements for Covid 19. The style of language that is interspersed with humor, uses a typical Sulawesi speaking style to make the audience more easily understands the explanations of the preachers in reviewing the Covid 19 problem from the point of view of the Qur'an and Hadith. In the midst of a crisis of public trust regarding information circulating in the community, there is another power that can provide this understanding, namely the power of virtual dai-dai.
Presentación del número
Authors:   Universidad Nacional Autónoma de México, Instituto de Investigaciones Filológicas, Shuttera Alejandro S.
Published: June 2022

En este número 4-1 de Senderos Filológicos hemos decidido explorar las relaciones posibles entre dos campos en apariencia no muy cercanos: la filología, tradicionalmente concebida como el estudio de la dimensión del texto, en su historia y su materialidad, y las representaciones audiovisuales, que mediante la complementación de imágenes y sonidos parecen trascender ese problemático concepto que denominamos escritura.
Filología y medios audiovisuales. Presentación del dosier
Authors:   Universidad Nacional Autónoma de México, Instituto de Investigaciones Filológicas, Sheinbaum Diego
Published: June 2022

Con esta serie de artículos esperamos generar interés por estudios filológicos que se aventuran en los medios audiovisuales. En ellos se puede vislumbrar ese compromiso con lo mundano, concreto y particular, y contra lo vaporoso y abstracto que Erich Auerbach remarcaba como parte esencial de las Humanidades. Cada uno de ellos abre la posibilidad de descubrir, más allá de las pantallas por donde se deslizan nuestras yemas, las raíces profundas de estos fenómenos. Representan esa densidad e interdependencia de la vida que, según expresaba Edward Said, no puede reducirse a una fórmula o hacerse a un lado.
El villano, la trama, la conspiración
Authors:   Universidad Nacional Autónoma de México, Escuela Nacional de Estudios Superiores, Unidad León, Soltero Gonzalo
Published: June 2022

Sugerente y esclarecedor ensayo el de Gonzalo Soltero acerca del papel que juegan los antagonistas en la literatura, su poder para 'girar las tuercas'; de una trama y provocar situaciones no-lógicas (o des-normalizadas) como las teorías de la conspiración.
Tradición y diversidad del cine mexicano de terror: El fantasma del convento
Authors:   Instituto Tecnológico de Monterrey - Campus México. Escuela de Humanidades y Educación, Castro Ricalde Maricruz
Published: June 2022

En las siguientes líneas planteo que antes de 1936, prevaleció una mayor exploración de temáticas y géneros, y que en ello influyó la diversidad de quienes integraban el equipo de producción, fuera porque regresaron después de haber trabajado en Hollywood, fuera porque provenían de otras latitudes. Ejemplo de esta pluralidad fue El fantasma del convento (Fernando de Fuentes, 1934), uno de los mejores títulos de cine mexicano de terror y precursor del género.
Factors associated with compliance in implementing health protocols to prevent COVID-19 in Indonesia: A cross-sectional study
Authors: Erawati Ambar
Published: June 2022

Introduction: To prevent the COVID-19 spread, the government requires people to comply with health protocols in public facilities, namely by wearing masks, washing hands and keeping a distance. This study aimed to determine what factors affect and reason for compliance in implementing health protocols.

Methods: This research was an analytical survey research with a cross-sectional design conducted in Semarang City, Indonesia, with a total sample of 400 respondents. The independent variables were age, education, occupation, and health status. The dependent variable was compliance in wearing masks, washing hands and keeping a distance. Data were analysed with logistic regression test with significance level of 0.05.

Results: From the survey, 76.6% of respondents obeyed wearing masks, 57.4% of respondents obeyed to wash their hands and 71.1% of respondents obeyed to keep their distance. The backward type logistic regression test found that the factors associated with health protocol compliance were age, education, occupation, health status, existing regulations and the desire to maintain health with a significance value of <0.001. However, field of work was not associated with using masks (p = 0.273), while health status was not associated with handwashing habits (p = 0.344).

Conclusions:
Factors that are associated with respondents' compliance with the health protocol are age, education, occupation, health status, self-motivation and regulation. The government need to raise awareness on adhering health protocols through the promotion about healthy lifestyle.
Factors associated with the implementation of COVID-19 health protocols among Indonesian older adults living in rural areas: A cross-sectional study
Authors: Maurida Nurul , Prestasianita Putri  , Rosalini Wike
Published: June 2022

Introduction: Implementing health protocols became a challenge for older adults living in rural area. This study aimed to analyze the factors influencing implementation of COVID-19 health protocols among elderly in rural areas based on the Theory of Planned Behavior (TPB).

Methods: This study used an explanatory survey with cross-sectional approach. The sample consisted of 100 older adults who resided in rural areas. Data were collected using the TPB questionnaire and COVID-19 health protocol questionnaire, both have 21 items. The data were analyzed using bivariate and multivariate analysis. Bivariate analysis used Pearson correlation, Chi-square test, and Fisher’s exact test. Multivariate analysis used multiple linear regression with a level of significance = 0.05. The independent variables were attitude toward behavior, subjective norm and perceived behavioral control while the dependent variable was the implementation of COVID-19 health protocols.

Results: Gender (p < 0.001), age (p < 0.001), employment status (p < 0.001), attitude toward behavior (p < 0.001), subjective norm (p < 0.001) and perceived behavioral control (p < 0.001) were significantly associated with the implementation of COVID-19 health protocols, while education level (p = 1.000) was not significantly associated with  the implementation. The R-square shows 0.610 which indicates that TPB model can predict 61% of implementation of COVID-19 health protocols.

Conclusions:
The most dominant factor in increasing the implementation of the COVID-19 health protocol is attitude toward behavior. Nurse need to provide education to elderly and their family to increase the implementation of COVID-19 health protocols as prevention of transmission of COVID-19.
Multicellular biomarkers of drug resistance as promising targets for glioma precision medicine and predictors of patient survival
Authors: Lu Yuting , Shao Yongzhao
Published: June 2022

Aim: This study aimed to translate a known drug-resistance mechanism of long-term CSF1R inhibition into multicellular biomarkers that can serve as potential therapeutic targets as well as predictive markers for the survival of glioma patients. Methods: Using existing data from a published mouse study of drug resistance in immunotherapy for glioma, we identified multicellular differentially expressed genes (DEGs) between drug-sensitive and drug-resistant mice and translated the DEGs in mouse genome to human homolog. We constructed correlation gene networks for drug resistance in mice and glioma patients and selected candidate genes via concordance analysis of human with mouse gene networks. Markers of drug resistance and an associated predictive signature for patient survival were developed using regularized Cox models with data of glioma patients from The Cancer Genome Atlas (TCGA) database. Predictive performance of the identified predictive signature was evaluated using an independent human dataset from the Chinese Glioma Genome Atlas (CGGA) database. Results: Fourteen genes (CCL22, ADCY2, PDK1, ZFP36, CP, CD2, PLAUR, ACAP1, COL5A1, FAM83D, PBK, FANCA, ANXA7, and TACC3) were identified as genetic biomarkers that were all associated with pathways in glioma progression and drug resistance. Five of the 14 genes (CCL22, ADCY2, PDK1, CD2, and COL5A1) were used to construct a signature that is predictive of patient survival in the proneural subtype GBM patients with an AUC under the time-dependent receiver operating characteristic (ROC) of 2-year survival equal to 0.89. This signature also shows promising predictive accuracy for the survival of LGG patients but not for non-proneural type GBMs. Conclusion: Our translational approach can utilize gene correlation networks from multiple types of cells in the tumor microenvironment of animals. The identified biomarkers of drug resistance have good power to predict patient survival in some major subtypes of gliomas (the proneural subtype of GBM and LGG). The expression levels of the biomarkers of drug resistance may be modified for the development of personalized immunotherapies to prolong survival for a large portion of glioma patients.
PERFORMANCE ANALYSIS APPLİCATIONS OF SOME IMAGE ENCRYPTION TECHNIQUES
Authors: TİKEN Cihan , ŞAMLI Rüya
Published: June 2022

Data security is now the most vital and most important issue of governments, companies and individuals in the technology age we live in. Among the data types, images have a special importance because of the important information they contain. Transferring or storing images requires extra security measures. In this study, the performances of the image encryption methods were compared with each other by applying them to the most popular and most used images in the image processing area. Four different experiments were carried out. Performance of the seven particular encryption methods compared to each other and the obsevations and measurements was presented.
ANALISIS KEGIATAN PROGRAM KREATIVITAS MAHASISWA BIDANG KEWIRAUSAHAAN (PKM-K) BELLISSIMO FOLDING TABLE : INOVASI MEJA LIPAT MULTIFUNGSI UNTUK PELAJAR DAN PENATA RIAS
Authors: Rahma Nur Siti , Yanti Windi , Kartika Dini , Agvitasari Sheilsa , Sofiliandini Nisrina , Siwiyanti Leonita
Published: June 2022

Meja belajar adalah salah satu fasilitas penunjang untuk pelajar. Meskipun belajar dapat dilakukan dimana saja, tetapi belajar menggunakan meja belajar akan membuat konsentrasi lebih meningkat. Hal ini dikarenakan saat belajar, kita memerlukan kenyamanan terutama saat menulis. Belajar dengan cara tengkurap atau tiduran diatas lantai tanpa alas dapat membuat tubuh terasa pegal dan sakit. Jika dilakukan secara terus menerus, maka akan berdampak pada kesehatan. Ketika kondisi badan sudah tidak nyaman, maka kegiatan belajar akan malas untuk diteruskan. Kemudian, tidak semua pelajar memiliki meja untuk belajar. Salah satu alasannya karena memiliki kamar yang sempit, sehingga tidak memiliki cukup ruang. Dari permasalahan tersebut, kami membuat inovasi meja lipat multifungsi yang dapat digunakan oleh pelajar dan penata rias. Meja tersebut memiliki desain yang minimalis sehingga dapat digunakan diruang yang terbatas. Melalui kegiatan PKM-K yang dilaksanakan selama 4 bulan, dihasilkan sebanyak 3 variasi meja lipat multifungsi, diantaranya Bellissimo for Beauty, Bellissimo for Kids dan Bellissimo for Student. Tahapan yang dilakukan dari kegiatan ini yaitu tahap persiapan, produksi, pemasaran, pencapaian tujuan, evaluasi dan laporan. Berdasarkan hasil penjualan yang telah dilakukan, dapat disimpulkan bahwa Bellissimo Folding Table dapat menjadi solusi bagi pelajar yang memiliki ruang terbatas. Kegiatan PKM-K ini menghasilkan keuntungan bagi mahasiswa secara finansial sebanyak 25% dari penjualan.
Bony Orbital Form in Two Groups of Catarrhini Primates: How Asymmetrical Are They?
Authors: Parés-Casanova Pere M.
Published: June 2022

The aim of this study was to compare left and right osseous orbit forms in two different Catarrhini primate genera using geometric morphometric techniques. The analysis was carried out on 20 well-preserved skulls from gorilla (Gorilla gorilla, n=10) and papios (drill [Mandrillus leucophaeus, n=3] and mandrill [M. sphinx, n=7]) from animals kept in zoo, which were photographed in their frontal norm. A set of 4 sagittal landmarks on the face and 23 semilandmarks on each orbita contour were used. According to results, right and left orbitas were similar in size but not in shape, appearing to be significative for individual-by-side interaction (fluctuating asymmetry). It is supposed this due to a developmental instability due to captivity life. Fluctuating asymmetry was clearly higher among gorillas, seeming logical that hominoidea primates suffering in captivity is higher than among cercopithecids (papios and mandrills). Side directional differences were significative only for papios. We supposed it to be due to a stronger stroke of lateralized mastication as, compared to gorillas, mandibles in papios are longer.
Morphometric Characterization of the Asymmetry in the Mandible of the Ferret (Mustela putorius furo Linnaeus, 1758)
Authors: Parés-Casanova Pere M.
Published: June 2022

In order to analyse asymmetries between hemimandibles, a sample of 24 mandibles from ferrets was studied by means of geometric morphometric methods, using a set of 3 landmarks and 14 semilandmarks, on the lateral aspect. Results showed that both size and shape played a significative role in mandibular asymmetry. For shape, there appeared significative fluctuating and directional asymmetries, with an especially high level for this latter. Landmarks corresponding to muscular attachments showed greater landmark asymmetry. This it is supported the hypothesis of a chewing side preference, e.g., a mastication-related driver for mandibular shape asymmetry.
A Semi-Synthetic Study of Multidimensional Imaging using a Scattering Lens
Authors: Gopinath Shivasubramanian
Published: June 2022

Scattering has been always considered a problem in most of the imaging and holography systems. In this project, a 3D imaging system has been developed based on scattering against common beliefs. The 3D imaging system consists of only two components namely a scattering lens, fabricated by grinding the surface of a convex lens using sandpaper and a web camera. The point spread function (PSF) in the form of speckle distribution was recorded using a laser source in the first step. A synthetic object was selected which was convolved with the PSF in a computer to generate the object intensity distribution. The image of the object was reconstructed by processing the PSF and object intensity distribution using a computational reconstruction method called non-linear reconstruction. The recorded PSF was scaled and the process was repeated for a different synthetic object. The concept was extended to 3D by summing the object intensity distributions generated using PSFs with different scaling factors. The image at different planes can be reconstructed using the PSFs corresponding to that plane.
Adecuación cultural de la vivienda
Authors: Salazar Ramirez Jesus Ricardo , Ley García Judith
Published: June 2022

La adecuación cultural forma parte de las siete directrices internacionales que según Naciones Unidas debe poseer una vivienda para que se le considere adecuada y se cumpla con este derecho humano. En este sentido, el objetivo del artículo es presentar una propuesta metodológica para la evaluación de la adecuación cultural de la vivienda al interior de las ciudades, mediante un indicador temático que se sustenta en enfoque de las capacidades. Para tal fin, se tomó como caso de estudio la ciudad de Mexicali, una ciudad de la frontera norte de México, cuyas características geográficas, económicas y demográficas se manifiestan en condiciones distintas de calidad del espacio construido. El indicador temático de adecuación cultural propuesto permitió caracterizar la situación del parque habitacional urbano e identificar áreas de oportunidad para mejorar el nivel de adecuación del hábitat a las necesidades humanas.
Agricultura orgánica y desarrollo: un análisis comparativo entre países de América Latina
Authors: Boza Martínez Sofía
Published: June 2022

En los últimos años, tanto la cantidad de hectáreas dedicadas a la agricultura orgánica como los ingresos generados por el consumo de los alimentos derivados de ésta han incrementado a nivel mundial. América Latina no ha quedado al margen de dicha tendencia. En consecuencia, resulta especialmente significativo revisar cuáles serían las líneas estratégicas más apropiadas para canalizar el futuro progreso de la agricultura orgánica en la región y vincularlo a procesos de desarrollo. El presente estudio pretende aproximarse a dicho objetivo mediante el análisis comparativo de la evolución experimentada por la agricultura orgánica en cuatro países latinoamericanos (Argentina, Brasil, Chile y Costa Rica). Se recurre al análisis de diversos indicadores agrupados dentro de las categorías: i) caracterización general del sector, ii) nivel de desarrollo normativo y iii) apoyo público y asociativo. Como principal resultado del estudio se observa que la consolidación de un tejido participativo conformado por los agentes involucrados en el sector es esencial para que, incluso en ausencia de una normativa doméstica específica, la producción orgánica se desenvuelva equilibradamente y se faciliten metas más amplias de desarrollo.
Capital social y desarrollo industrial. El caso de Prato, Italia
Authors: Galaso Reca Pablo
Published: June 2022

Este artículo estudia los rasgos distintivos del capital social en la provincia de Prato (Italia), así como su papel en el nacimiento y posterior desarrollo de su distrito industrial. Para ello, se basa en múltiples investigaciones previas sobre dicha región, analizando sus resultados desde la óptica de las teorías del capital social. Las conclusiones muestran que el capital social desempeñó un rol fundamental en distintos momentos de la historia pratense, permitiendo que desarrollara con éxito el modelo característico de los distritos industriales.
Neurotoxicidad en trabajadores petroquímicos con bajos índices de exposición a disolventes orgánicos
Authors: Juárez-Pérez Cuauhtémoc Arturo , Rodríguez-Jiménez Aideé , Martínez-Santiago Gladys , Mercado-Calderón Francisco Antonio , Trujillo-Reyes Oscar , Aguilar-Madrid Guadalupe , Cabello-López Alejandro
Published: June 2022

Objetivo. Estimar el desempeño neuropsicológico y su asociación con la exposición a disolventes orgánicos (DO) en trabajadores petroquímicos en México. Material y méto­dos. Estudio transversal en 203 trabajadores: 102 expuestos a DO y 101 no expuestos. Se evaluó el desempeño neuropsi­cológico con Neurobehavioral Core Test Battery y la exposición a DO con la medición de metabolitos de exposición para tolueno, xilenos y benceno. Resultados. Los trabajadores expuestos presentaron un peor desempeño en todas las pruebas (p<0.05), excepto en la prueba de Santa Ana. Esto se corroboró con modelos de regresión; los trabajadores expuestos a DO tuvieron un mayor número de errores y realizaron las pruebas en mayor tiempo (p<0.05), además de presentar mayores probabilidades de padecer síntomas de neurotoxicidad (OR: 2.93; IC95%: 0.96, 8.96). Conclusio­nes. La exposición ocupacional a disolventes orgánicos, aun a niveles permitidos por la normatividad mexicana vigente, se relacionó con un menor desempeño neuropsicológico.
Metodología de una encuesta por internet para hombres que tienen sexo con hombres en México
Authors: Baruch-Domínguez Ricardo , Chapin-Bardales Johanna , Smith Laramie R , Sánchez Travis H , Zlotorzynska María , Algarin Ángel B , Bautista-Arredondo Sergio , Cuadra-Hernández Magali , Hernández-Ávila Mauricio
Published: June 2022

Objetivo. Describir el diseño, implementación y el perfil de los participantes de la Encuesta de Sexo Entre Hombres (ES Entre Hombres). Material y métodos. ES Entre Hombres es una encuesta en línea no probabilística aplicada a nivel nacional a hombres de 18 años o más, que tienen sexo con hombres (HSH) y que usan internet. La población de estudio se reclutó a través de publicidad en diversos sitios de encuentro en línea y los cuestionarios se autoaplicaron con SurveyGizmo. Resultados. Durante 11 semanas se registró un total de 15 875 autoaplicaciones elegibles y completas de las 32 entidades del país. La mayoría de los participantes fueron jóvenes (<29 años; 65.7%) y personas que acceden a internet diariamente (94.3%). Conclusión. Las encuestas realizadas por internet para poblaciones como los HSH representan un método costoefectivo de estudio poblacional, ya que tienen el potencial de ahorrar recursos y alcanzar muestras grandes, lo que a la vez facilita la cobertura geográfica a un bajo costo.
Entorno alimentario y su relación con obesidad en una población del noreste de México
Authors: Cura-Esquivel Idalia , Gasca-Sánchez Francisco , Montes-Tapia Fernando , Mares-Gil Eduardo
Published: June 2022

No disponible
A Brief Summary of Seventy Years of Well Test Analysis
Authors: Gringarten A. C.
Published: June 2022

Objectives/Scope

Transient well test analysis has been used to assess well condition and obtain reservoir parameters for over seventy years. At a time when Machine Learning (ML) and Artificial Intelligence (AI) are coming-of-age and may eventually replace well test interpreters, it is worth taking stock of the progress made in well test analysis since the major initial publications of the early 1950's.

Methods, Procedures, Process

Major improvements in well test analysis since the early 1950's have occurred approximately 13 to 19 years apart, driven by the availability of both new types of data and new mathematical tools. Using a computer-generated data set of pressure and rate, we illustrate the evolution of well test analysis over the years: straight line methods of the early 1950's; log-log pressure plots of the late 1960's and early 1970's; formulation of an integrated methodology in the early 1980s; introduction of pressure-derivative analysis in 1983; derivation of a stable deconvolution algorithm in the early 2000's; and its current, successful extension to multiple interfering wells.

Results, Observations, Conclusions

Over the last seventy years, well test analysis has moved from just estimating well performance to becoming a very powerful tool for reservoir characterization.

Novel/Additive Information

Although the development of commercial software has been a factor in making practicing engineers aware of these improvements, acceptance has been slow: deconvolution has been developed twenty years ago and has been included in commercial software for the last fifteen years, yet is still not used in routine well test analysis. In addition, interest in well test analysis seems to be fading, which is in sharp contrast with its popularity in 1970's, as measured by the attendance to the well test analysis sessions in the annual ATCE meetings. It is hoped that the new advances in ML and AI will reverse this trend and reinstate well test analysis as a major reservoir characterization tool.
Fly Ash Nanoparticle-Stabilized Emulsions for Improve Mobility Control Application
Authors: Wang Wuchao , Dong Xiaohu , Liu Huiqing , Peng Yan , Chen Zhangxin , Li Yu , Guo Yunfei
Published: June 2022

Nanoparticles have demonstrated their capacity to increase emulsion stability by forming what is known as a Pickering emulsion, which is predicted to improve EOR processes by improving conformity control. The goal of this work is to develop a novel way of beneficially utilizing the main waste product from coal power-generation plants - fly ash - by generating fly ash nanoparticle-stabilized emulsions for improved mobility control, especially under high-salinity conditions.

First, the ball-milling method was used to decrease the grain size of fly ash, which was too big for injection into reservoirs. Second, fly ash nanoparticles were used to measure the synergy between nanoparticles and surfactants in the creation of oil-in-brine emulsions. Third, the emulsion stability was tested using a microscope and a rheometer with three different surfactants (cationic, nonionic, and anionic). Finally, oil replacement experiments were conducted using intra-formation heterogeneous cores to investigate the recovery enhancement effect of in situ injection of fly ash nanoparticles and cationic surfactant (CS).

Thermally treated fly ash (TTFA) nanoparticles with an average size of 150 nm were produced using nano-milling and thermal treatment techniques. The use of either a cationic or nonionic surfactant in conjunction with nanoparticles resulted in strong and stable emulsions. The cationic surfactant had the greatest synergy, while the anionic surfactant had the least, indicating that electrostatic interactions with the surfactant and the liquid/liquid interface were key factors. The in-situ emulsion formed by the fly ash nanoparticles and the cationic surfactant (FA-CS) produced an additional 8.5 % of the original oil in place (OOIP) recovery after waterflooding. This indicates that the emulsion has better mobility control performance and higher crude oil recovery.

This study not only has the potential to minimize the amount of surfactant used for emulsion-based EOR mobility control of fly ash nanoparticles but also to sequester fly ash in the subsurface strata.
Multi-Parametric Optimization of Multilateral Wells for Optimum Reservoir Contact
Authors: Al-Ismael Menhal Abdulbaqi , Al-Turk i Ali Ahmad , Al-Saffar Ali Husain
Published: June 2022

As the oil and gas industry is continuously pushing boundaries of exploiting resources, it becomes more of a mandate to model and optimize forefront technologies. Multilateral wells are one example of a prevalent technology to maximize reservoir contact and return on investment. Optimum design and placement of this type of wells is significant. This work presents a multi-parametric optimization approach that optimizes the design of multilateral wells and maximizes the contact with highly productive hydrocarbon zones in the reservoir. Given a number of input parameters, the design and placement of multilateral wells is modeled using the Graph Theory principles and is optimized using Mixed Integer Programming (MIP) algorithms. The objective function is defined in this work as maximization function of the Total Contact with Sweetspots (TCS). At first, multiple main wellbores are optimized globally across the field and then several local optimizations are performed around each main wellbore to place the laterals. This optimization is subject to a number of input constraints, such as the maximum number of laterals, minimum spacing between wells, and maximum lateral length. Different sets of uncertainty parameters are generated using Latin-Hypercube Sampling (LHS) technique and used as input constraints in multiple well design realizations. In this work, the SPE10 benchmark model with 4 million grid cells and 10 existing producer wells was used. MIP was used in this work to optimize the initial geometry and placement of 20 new multilateral producers while LHS was used to fine-tune well configurations. Using TCS as the objective function in this multi-parametric optimization approach dramatically reduced the number of numerical simulation runs. The multi-parametric optimization generates multiple realizations with different sets of multilateral wells with different configurations. Numerical results from the benchmark model revealed the optimum solution with maximized hydrocarbon production. This resulted in a more practical approach to simultaneously optimize the placement of multilateral wells in large simulation models. In addition, the results reveal that the design, placement and performance of the new wells are highly sensitive to the sweetspot maps and reservoir heterogeneity. Using TCS as the objective function resulted in avoiding the excessive use of numerical simulation and cutting down the turnaround time for optimizing the design and placement of multilateral wells. In addition, the global and local optimizations used in this approach significantly simplified the mathematical formulation and avoided complex network modeling and optimization for multilateral wells.
Temperature Transient Modeling and Analysis for Hydraulically Fractured Wells
Authors: Onur Mustafa , Gul Kiymet Gizem
Published: June 2022

In this work, new analytical sandface temperature solutions are developed for linear flow towards an infinite-conductivity hydraulically fractured well producing under specified constant-rate or constant- bottomhole pressure (BHP) production. The solutions apply for slightly compressible, single-phase undersaturated oil reservoirs with irreducible water saturation or liquid-dominated geothermal reservoirs. They include the effects of conduction, convection, the Joule-Thomson expansion of fluids and adiabatic expansion of the total rock and fluid system, and fluid loss fracture damage. They neglect the variation of rock and fluid properties with pressure and temperature so that pressure diffusivity and thermal energy balance equations are decoupled to obtain the analytical linear-flow temperature solutions using Laplace (for constant-rate) and Boltzmann (for constant-BHP) transformations. To validate the analytical solutions, a numerical solution is developed to solve the mass and thermal energy balance equations simultaneously and account for the variation of rock and fluid properties with pressure and temperature. We proposed a correction to fluid viscosity variation as input for the analytic solutions. The numerical and analytical solutions have been compared and verified with a commercial thermal reservoir simulator. Results indicate that the fracture surface temperature is decreasing with a square of time for constant-rate production but is constant for constant BHP production. The temperature responses for both modes of production are controlled by the adiabatic expansion of the rock and fluid properties and the thermal diffusivity of the rock. The effect of thermal conductivity plays a significant role for both production modes as the matrix permeability decreases. The fracture damage has different signatures on temperature transients at early and late times for both modes of production. The approximate analytical solutions show the information content of temperature transient data acquired from an infinitely conductive hydraulically fractured well under matrix linear flow. They are simple and can be used to perform matrix linear flow analysis jointly with pressure and rate transient data to estimate the thermal and mechanical properties of the rock and fluids. The numerical solution can be used for a more general analysis procedure based on automated history matching for constant as well as variable rate and pressure production test sequences.
Global Demand of Nonmetallic Applications in Construction
Authors: Al Qubali Abdulaziz Kamal
Published: June 2022

The global market in construction is forecasts a demand growth for nonmetallic applications to replace conventional metallic materials. of the current produced plastic, around 367 million tons, 20.4% of this demand is utilized in building and construction. According to research on European demand, these numbers will continue to grow over the next decade, especially for polyethylene, polypropylene and polyvinyl chloride (PVC). Different applications have already proven their efficiency in terms of OPEX and sometimes CAPEX as well. This dramatic growth in the plastic market will lead to supplying these materials to different markets, which will result in more nonmetallic applications for the construction sector.
Experimental and Modeling Study of the Effects of CO2 Injection on Gas/Condensate Recovery and CO2 Storage in Gas-Condensate Reservoirs
Authors: Wang Wuchao , Liu Huiqing , Dong Xiaohu , Chen Zhangxin , Li Yu , Sun Lei , Yang Farong
Published: June 2022

The mixing/interaction between injected gas and remaining reservoir fluid is yet to be extensively understood and the inability to optimize the recovery process has led to limited pilot trials. Therefore, adequate phase and flow behavior analyses and modeling are necessary to better evaluate reservoir performance under CO2 injection to make an informed decision.

In this work, the phase behavior, and the minimum miscible pressure (MMP) have been experimentally conducted to determine the level of CO2/gas-condensate interaction, including condensing/mixing/vaporizing mechanisms. Moreover, the unsteady-state flow tests were conducted to study flowing characteristics and performance. Based on these studies, the CO2 injection numerical model was constructed using a component model reservoir simulator (GEM) to simulate the effects of injection rate, injection pressure, and injection volume on gas/condensate recovery and CO2 storage. Finally, the stability of CO2 storage was evaluated using numerical simulation of the reservoir.

The results were analyzed and found that the phenomenon of "critical opalescence" occurred when a certain proportion of CO2 was injected into the residual condensate oil and gas system, which meant that CO2 and condensate were mixed as one phase. Factors such as injection pressure, injection rate, and injection volume have a very important influence on the degree of condensate recovery. Only considering the influence of single factor conditions, the higher the injection pressure or gas injection volume or injection rate, the higher the degree of condensate recovery and the greater the potential of CO2 storage. However, based on comprehensive consideration of oil displacement rate and gas channelization, reasonable gas injection speed, injection volume, and injection pressure were finally optimized and screened out as 7000 m3 /day, 0.43 HCPV, and 32 MPa, respectively. The formation pressure was almost constant from 80 years to 130 years, which indicated that CO2 can be deposited stably.

The study bridges the gap between the extent of CO2/gas-condensate interaction at pressures below the dew point pressure and conflicting reports on this trend. This paper also provides a better knowledge of the governing mechanisms during CO2 injection, which are required for designing suitable CO2 flooding injection for reservoir engineering applications.
TRial to Assess Implementation of New research in a primary care Setting (TRAINS): study protocol for a pragmatic cluster randomised controlled trial of an educational intervention to promote asthma prescription uptake in General Practitioner Practices
Authors: Alyami Rami A , Simpson Rebecca , Oliver Phillip , Julious Steven A.
Published: June 2022

BackgroundThere is a marked increase in unscheduled care visits in school-aged children with asthma after returning to school in September. This is potentially associated with children not taking their asthma preventer medication during the school summer holidays. A cluster randomised controlled trial (PLEASANT) was undertaken with 1,279 school-age children in 141 general practices (71 on intervention and 70 on control) in England and Wales. It found that a simple letter sent from the family doctor during the school holidays to a parent with a child with asthma, informing them of the importance of taking asthma preventer medication during the summer relatively increased prescriptions by 30% in August and reduced medical contacts in the periods September to December. Also, it is estimated there was a cost-saving of £36.07 per patient. We aim to translate the PLEASANT trial findings into practices to optimise outcomes for patients and health services.Methods /design:The TRAINS study - TRial to Assess Implementation of New research in a primary care Setting - is a pragmatic cluster randomised implementation trial. A total of 1389 General Practitioner (GP) practices in England will be recruited into the trial; circa 694 GP practices will be randomised to the intervention group and 695 control group of usual care. The Clinical Practice Research Datalink (CPRD) will send the intervention and obtain all data for the study, including prescription and primary care contacts data. The intervention will be sent in June 2021 by postal and email to the Asthma Lead and Practice Manager. The intervention is a letter to GPs informing them of the PLEASANT study findings with recommendations; it will consist of a letter for GPs with an information leaflet about PLEASANT and suggested reminder letter and SMS text template.DiscussionThe trial will assess if informing GP practices of the PLEASANT trial results will increase prescription uptake before the start of the school year. The hope is that the intervention will increase the implementation of PLEASANT work and then increase prescription uptake during the summer holiday prior to the start of school.Trial registration:ClinicalTrials.gov ID: NCT05226091
Modeling Anaerobic Co-digestion of Food Wastes and Cattle Manure in an Industrial Plant: A System Dynamic Approach
Authors: Azeez Sarafadeen Ayinde , Gwandangaji Danshehu Bagudu
Published: June 2022

PurposeAnaerobic co-digestion is a realistic technique for organic waste management as well as biogas production. To monitor the co-digestion processes because of their high susceptibility to instability, a simple, interpretable, and accurate model is required for control design and process optimization.MethodsTherefore, a modified anaerobic digestion model number 2 (AM2) was built in the system dynamics (SD) model) for the prediction of biogas production in an industrial biogas plant fed with cattle manure and food wastes. The predictive ability of the model using the model parameters (kinetic parameters and yield coefficients) estimated in Premium Solver, was checked by comparing model results (biogas flow and compositions) with anaerobic digestion model number 1(ADMI) simulated results and the experimental data obtained from the literature. Sensitivity analysis of the modified AM2 to biogas flow and methane concentration was conducted by varying the inflow of biodegradable fractions, the initial substrate, and biomass concentrations.ResultsThe simulation results of the modified AM2 model were found to correspond with the measured values with percentage errors of 1.42% and 0.6% for methane concentration and biogas flow respectively. The process variables associated with the methanogenesis stage were obtained to be the most sensitive variables.ConclusionThis study showed that the AM2 which is tractable, reduced, and robust, built in the SD model is a vital tool for the operation of the biogas plant's digester.
Triglyceride Glucose Index is Independently Associated with Aorta Intima-Media Thickness in Patients without Clinical Manifestations of Cardiovascular Disease
Authors: ÖZBİÇER Süleyman , YÜKSEL Gülhan , URGUN Örsan Deniz
Published: June 2022

Background: Subclinical atherosclerosis develops in the thoracic aorta early in life. Insulin resistance is a well-established risk factor for the development of atherosclerosis. The triglyceride-glucose (TyG) index is a reliable marker of insulin resistance regardless of glucose tolerance or obesity. We aimed to investigate the relationship between the TyG index and aortic intima-media thickness (IMT) in patients without diabetes mellitus and cardiovascular disease undergoing transesophageal echocardiography due to suspected structural heart disease.Methods: One hundred twenty-two patients enrolled in the study between January 2021 and June 2021. Triglyceride-glucose index was calculated using fasting laboratory parameters, and major cardiovascular risk factors and IMT of the thoracic aorta were recorded. Patients were divided into two groups according to their median IMT; patients with an IMT equal to or less than 1.42 mm were low IMT group, and higher than 1.42 mm were high IMT group.Results: Triglyceride-glucose index were higher in the high IMT group (8.69 ± 0.59 vs. 8.37 ± 0.53, p= 0.003). Triglyceride-glucose index was correlated with IMT (r=0.259, p=0.005) and in binary logistic regression analysis age and TyG was independently associated with having high IMT (β = 0.076, exp(B)=1.079 95%CI = 1.041 – 1.118, p<0.001 and β=0.847, exp(B)= 2.334 95%CI= 1.048- 5.199, p=0.038, respectively)Conclusion: We found an independent relationship between TyG and IMT of the thoracic aorta, an early marker of subclinical atherosclerosis in patients without atherosclerotic cardiovascular disease. Therefore, the TyG index can identify high-risk subjects among healthy subjects.
Increasing the Prevalence of Cervical Cancer Screening in Iran: Effectiveness of a Theory-Based Educational Intervention
Authors: Hosseini Zahra , Mohseni Shokrollah , Momeni Rahimeh , Aghamolaei Teamur , Alavi Azin , dadipoor sakineh
Published: June 2022

Purpose: The high mortality rate of cervical cancer in developing countries is mainly related to inefficient screening programs. The aim of the present study was, thus, to determine the effect of an educational intervention based on BASNEF model in increasing cervical cancer screening (CCS) in Bandar Deir in the south of Iran.Methods: A quasi-experimental educational intervention was conducted for 202 women (101 in the intervention group (IG) and 101 in the control group (CG)) between 2019 and 2020. The sampling was convenience in type. The required data were collected using a valid and reliable questionnaire in three parts (demographic part, knowledge part, BASNEF constructs). 14 educational sessions were held each taking 60 minutes long at two levels, personal and interpersonal (family members, health workers and healthcare givers). Finally, the follow-up was completed after three months in December 2021. Results: After the educational intervention, a statistically significant difference was observed between the IG and CG in all model constructs (p<0.001). Before the intervention, in the IG, the personal health score was 4.35±2.52, which was increased to 5.25±0.753 after the educational intervention (p <0.001). However, in the CG, this difference was not statistically significant (p <0.030). 63.4% of women in the IG and 32.7% in the CG underwent CCS and the difference was statistically significant (p <0.001). Attitude, enabling factors and behavioral intention were among the most important predictors of CCS.Conclusion: Our findings showed that the BASNEF-based educational intervention, with limited resources and in a short time, managed to motivate women to undergo CCS. It could maximally remove barriers at both personal and interpersonal levels and provide strategies based on these barriers to achieve a successful screening program.
Artificial Neural Network Approach versus Analytical Solutions for Relativistic Polytropes
Authors: Nouh Mohamed , Abdel-Salam Emad , Azzam Yosry
Published: June 2022

Over the last few decades, artificial neural networks (ANN) have played an important role in many areas of human activity and have found application in many branches of natural sciences. ANNs have been widely used to tackle problems related to linear and nonlinear differential equations, and numerous paradigms for ANN architecture have been employed. Based on ANN and the Taylor series, this research proposes a computational technique to solve difficulties connected to the Tolman-Oppenheimer-Volkoff equations (TOV) of the relativistic gas spheres. We used ANN to study two cases related to relativistic polytropes. The first is to simulate both the Emden and the relativistic functions, and the second is to predict the zeros of the Emden function and its corresponding relativistic functions. In its feed-forward back-propagation learning scheme, we used the ANN framework. The efficiency of the proposed algorithm is evaluated by running it through seven models concerning the polytropic indices-relativistic parameter pairs (n = 0, σ = 0.2), (n = 0.5, σ = 0.3), (n = 1, σ = 0.4), (n = 1.5, σ = 0.1), (n = 2, σ = 0.5), (n = 2.5, σ = 0.6), and (n = 3, σ = 0.7). The obtained solutions aided in the resolution improvement of relativistic polytropic gas sphere problems and the comparison between the analytical and the ANN solutions gives good agreement for the two cases under study.
Measurement and evaluation of neural activity in acute tonic cold pain under intense microwave radiation
Authors: Geng Daoshuang , Sun Mingxuan , Yang Daoguo , Liu Dongjing
Published: June 2022

To explore the influence of high-frequency microwave transmission on the power change of EEG in pain-induced brain activity. we propose a method, to measure and evaluate the relative changes in the Electroencephalographic (EEG) power for microwave frequencies 4.5, 5, and 5.5 GHz in no pain (NP) and cold pain (CP) conditions. The relative power changes of EEG frequency bands in delta, theta, alpha1, alpha2, beta1, and beta2 were calculated with and without (Sham) microwave transmission. Then, the standardized low-resolution brain electromagnetic tomography (sLORETA) was used to analyze the source localization of different pain types. In addition, a pain brain activity detection experiment was designed to verify the feasibility and accuracy of microwave detection of pain. At 5 GHz microwave transmission, the average EEG power of delta, beta1, and beta2 increased by 10–35%, which was substantially higher than that of Sham. In source localization analysis, the source activity changes of the activated brain regions were enhanced under high frequency microwave radiation. The proposed method can better reflect the variation of active state EEG power under high-frequency electromagnetic radiation. In the test of pain detection, microwave transcranial (MT) signal has certain correlation with the spectrum characteristics of EEG signal in the same test state, and the experimental results confirm that MT signal is indeed related to pain brain activity. This study provides a basis for microwave detection of neural activity induced by cold pain and has great significance for clinical diagnosis of pain-induced diseases.