bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Educational Environment and Online Learning Format Through the Lens of Students: Pros and Cons
Authors:   Kazan (Volga Region) Federal University, Golovanova Inna , Alipichev Aleksei ,   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Ayupov Timur ,   Kazan National Research Technical University named after A.N. Tupolev, Baltina Tatiana ,   Kazan (Volga Region) Federal University, Gorskaya Tatiana ,   Kazan State University of Architecture and Civil Engineering, Donetskaya Olga ,   Kazan (Volga Region) Federal University, Lapina Maria ,   North Caucasian Federal University, Uteeva Elmira ,   Kazan State Medical University, Fazlyeva Florida ,   Kazan (Volga Region) Federal University, Khasanova Enge ,   Kazan State University of Architecture and Civil Engineering
Published: October 2022

The modern transformation of all spheres of life is associated with rapid technological and digital development. The educational sphere, focusing on external demands, systematically introduces technological and digital solutions into the processes of pedagogical systems functioning, focusing on the expansion of the educational space, on increasing the availability of educational services. In order to create a comfortable and effective digital environment in universities, it is important to take into account not only the level of development of digital competencies of students and teachers, but also their basic needs and requirements in this area. We set a goal to identify the most successful digital solutions used at this stage in university education from the students’ perspective and to consider the factors inhibiting these processes. To solve the problems, we used methods of theoretical analysis and empirical processing of research data. The main method was a survey of students using the questionnaires “Digital learning environment and online learning format” and “Quality of digital educational resources and organizational aspects of e-learning” developed by the authors. More than a thousand students from Russian universities took part in the survey. The results of the survey showed what means of communication in online learning are considered by students to be the most effective, what means of increasing productivity and what means of organization and support in online learning are most useful to them. The platforms and learning systems were considered in detail to understand the important characteristics of these services for students. The analysis highlighted the main areas in the digital transformation of the educational environment, which should be targeted for their development and improvement.
The Teacher is a Guide or Barrier to Mathematics: Case Studies in Russia, Kyrgyzstan and Kazakhstan
Authors:   Kazan Federal University, Lebedeva Nataliya , Ismatullina Victoria ,   Psychological Institute of Russian Academy of Education, Sheymardanov Shamil ,   Kazan Federal University, Zhussipbek Talgat ,   Karaganda Buketov University
Published: October 2022

Mathematics is an important subject to study. But the presence of mathematical and gender stereotypes affects the self-perception of mathematical abilities for boys and girls. In the future it may be associated with the choice of educational and career trajectories. In turn, the teacher acts as a guide in the formation of these ideas and motivation for the subject. Among the factors of the impact of the teacher on these formations, one can distinguish: the teacher's pleasure from teaching mathematics, their beliefs and ideas about mathematics, including teachers’ self-confidence in order to teach mathematics, etc. At the same time, the role of the teacher may vary depending on the structure of the educational process. This article discusses how important is the teacher in the educational environment when choosing an educational trajectory, as it develops interest to the subject and motivation for further learning on the example of three countries: Russia, Kyrgyzstan and Kazakhstan. The research methodology is a case-study research strategy: research I - the study of the attitude and motivation of schoolchildren to study mathematics, the role of the teacher in its study; research II - evaluation of the effectiveness of separate education based on the opinion of teachers. Our research showed that the main motivational factors are the content of education, which forms a set of knowledge about different types of careers, and the individual characteristics of teachers who introduce students to different subject areas. And segregated education can become an alternative strategy for achieving gender equality.
HEART DAMAGE AS ONE OF THE SYNDROM OF COVID-19 INFECTION
Authors: Mureyko E. , Kaliberdenko V.
Published: October 2022

Currently, pandemic caused by coronavirus infection is the most acute and serious problem in the world. It’s known that the virus damage`s the alveocytes of the lungs, causing pneumonia and / or acute respiratory distress syndrome. However, it is not only the lungs are targeted by SARS-CoV-2. The article provides an overview of cases of heart damage in sick sufferers COVID-19 infection. We have studied foreign and domestic scientific publications concerning cases of damage to the cardiovascular system in general, and the heart in particular. The study, analysis and review of the data was carried out from December 2019 to June 2020. Scientific papers on this topic have been found on platforms such as PubMed, Europe PubMed Central, Elsevier Science Direct, Elsevier Open Science, Springer Open, Bielefeld Academic Search Engine, and Scientific electronic library eLibrary.ru.
PATHOGENESIS OF COVID-19
Authors: Khaitovich A. , Yermachkova P.
Published: October 2022

The review is devoted to studying the pathogenesis of coronavirus infection in the human body and to determining the key changes that occur after the virus enters the cell. The role of the genome in the occurrence of pathogenetic changes, as well as the mechanism of infection of somatic cells with the SARS-CoV-2 virus, was studied. The entrance gates for the virus are the mucous membranes of the oral and nasal cavities, and the target cells are epithelial cells of the upper respiratory tract, in the lungs-ACE2 receptors, as well as cells of the gastrointestinal tract, kidneys, heart and blood vessels. In the majority of COVID-19 patients with severe to moderate severity disease the most affected system is the respiratory system, in particular, the lungs. Microcirculation disorder in the capillaries leads to the development of pulmonary edema, acute respiratory distress syndrome and/or disseminated intravascular coagulation. One of the main features of the pathogenesis of coronavirus infection is the phenomenon of a «cytokine storm», which is characterized by an increasing amount of pro-inflammatory cytokines in the blood.
ESTIMATION OF INTRARENAL HEMODYNAMIC INDICATORS ACCORDING THE LEVEL OF ALDOSTERONE AND BRAIN NATRIURETIC PEPTIDE IN DIABETIC TYPE 2 PATIENTS WITH SECONDARY CARDIORENAL SYNDROME
Authors: Krutikov E. , Akaev R. , Tsvetkov V. , Chistyakova Svetlana
Published: October 2022

Secondary cardiorenal syndrome (CRS) in patients with type 2 diabetes is a combined cardiac and renal pathology with a combined and complex not fully understood pathogenesis, quickly leads to the death of the underlying disease. In this case, a violation of the function of one organ affects the functional state of another, and vice versa. An important role in the CRS pathogenesis is played renin-angiotensin-aldosterone system activation, leading to the progression of cardiac and renal hemodynamic disorders. The aim was to study the parameters of intrarenal hemodynamics and their relationship with the level of aldosterone and natriuretic peptide in patients with secondary cardiorenal syndrome in type 2 diabetes mellitus. In the course of the study, 48 patients with type 2 diabetes and secondary CRS were examined. There were 24 men and 24 women. The average age of the examined patients was 60.3 ± 7.5 years. The duration of type 2 diabetes in patients was 9.53±2.82 years. The control group consisted of 40 practically healthy volunteers matched by sex and age. The formation of secondary CRS in type 2 diabetes is accompanied by an increase concentrations of the N-terminal cerebral natriuretic propeptide (p <0.001) and aldosterone (p <0.001), the development of renal vascular remodeling and a decrease hemodynamic renal parameters. In patients with CRS and type 2 diabetes the presence of negative correlations between the level of aldosterone and the velocity indices of blood flow in the kidneys and a positive relationship with the indices of resistance of the renal arteries was found, as well as positive relationships between the level of NT-proBNP and indices of resistance in the vessels, negative - with speed indicators.

In the course of multiple regression analysis, the influence of NT-proBNP and aldosterone levels on the predicted values of the peak velocity in the interlobular arteries (R2 = 0.30), glomerular filtration rate (R2 = 0.48) was established.
TO TRADITIONS OF ENOTHERAPY (MEDICAL ASPECTS OF WINE CONSUMPTION)
Authors: Butyrskii A. , Butyrskaia I. , Abkerimov E.
Published: October 2022

The review is devoted to one of the directions on alternative medicine – wine therapy (enotherapy). Authors made a short excurse into history of winemaking and wine-therapy, stressed the moderateness of mild alcohol consumption with therapeutical aims, isolated indications for this method in therapy and surgery. The merits of Crimean winemakers and doctors in promoting enotherapy as a section of alternative medicine are especially highlighted.
वेब सीरीज विषयवस्तु व मध्य प्रदेश के दर्शकों की बदलती जीवनशैली एक विश्लेषणात्मक अध्ययन
Authors: Patel Manoj , Mishra Shivendra
Published: October 2022

वर्तमान में डिजिटल मीडिया मनोरंजन के प्रभावशाली माध्यम में से एक है और इसीलिए उपयोगकर्ताओं पर इसके प्रभाव की संभावना भी अधिक रहती है । इन्टरनेट की सहज उपलब्धता एवं सस्ते स्मार्ट मोबाइल फ़ोन के बाज़ार से दर्शकों में ऑनलाइन मीडिया के सभी माध्यमों जैसे सोशल मीडिया, इत्यादि का उपयोग लगातार बढ़ता जा रहा है । डिजिटल माध्यम उपयोगकर्ताओं को कई मुद्दों पर चुनाव करने और अलग-अलग निर्णय लेने के लिए प्रोत्साहित करता है, और डिजिटल माध्यम उनके जीवन शैली में बदलाव करने की भी क्षमता रखता है, प्रोद्योगिकी के विकास के साथ ही डिजिटल माध्यम में एक महत्वपूर्ण बदलाव हुआ है जिसमें एक “वेब सीरीज” का महत्वपूर्ण स्थान है । वेब सीरीज माध्यम न केवल लोगों के जीवन के विभिन्न पहलुओं की व्याख्या करने के तरीके को प्रभावित कर सकता है बल्कि माध्यम को उपयोग की जाने की प्रवृत्ति और वाचिंग पैटर्न को भी प्रभावित कर सकता है । दर्शकों द्वारा क्राइम और ड्रामा शैली की वेब सीरीज को अधिक से अधिक पसंद किया जा रहा है, जिसमें नियमन ना होने के कारण अभद्र भाषा, अश्लील चित्रण का अधिक उपयोग होता है, जिसका सीधा प्रभाव दर्शकों की जीवन शैली पर पड़ता है । प्रस्तुत अध्ययन में मध्य प्रदेश के दर्शकों पर वेब सीरीज विषयवस्तु से जीवन शैली में होने वाले विभिन्न बदलावों और प्रभावों एवं साथ ही वेब सीरीज और ओटीटी प्लेटफार्म से सम्बंधित प्रतिक्रिया को जानने का प्रयास करेंगे । इस हेतु अनुसूची प्रारूप (Schedule) के माध्यम से ओटीटी प्लेटफार्म के नियमित दर्शकों को उद्देश्यपूर्ण नमूनाकरण Purposive Sampling तकनीक लागू करते हुए अध्ययन में शामिल कर विश्लेषणात्मक अध्ययन करेंगे।
Turkey's Commercial Relatıons with Russia And Ukraine (Pandemi, War and Recent Developments)
Authors: Kılıç Ramazan , Mammadov Taleh
Published: October 2022

Türkiye Rusya ve Ukrayna ile daima ticari, ekonomik, siyasi ilişkiler içerisinde yer almıştır. Ticari ilişkiler de her geçen gün daha da yükselmektedir. Soğuk savaş döneminden sonraki zamanlarda Türkiye ve Rusya’nın ticari ilişkileri
daha da yükselmektedir. 2015 yılında yaşanan jet krizinden dolayı iki ülke arasındaki gerilim zamanı Rusya’nın Türkiye’ye uyguladığı ambargolardan dolayı Rusya’ya yapılan ihracatta ciddi azalmalar meydana gelmiştir ve 3.6 milyar
dolar olan ihracat %51,7 azalarak 1.733 milyar dolara gerilemiştir. Özellikle Türkiye’nin enerjiye olan talebinin büyük payını Rusya’dan karşılamasından dolayı iki ülke arasındaki ticari açık artmaktadır. 2019 yılında 23 milyar
dolar olan ithalata karşılık, ihracat 4 milyar dolar olarak gerçekleşmiştir. Türkiye’nin Rusya’dan en fazla ithal ettiği ürünlerin başında enerji, demir, çelik ve hububat yer almaktadır. Aynı şekilde 2021 yılında Rusya Türkiye
arasındaki ticari açık 23 milyar dolara ulaşmıştır. Ukrayna ile ticari ilişkilerimizde, en fazla ithal edilen ürünlerin başında demir ve çelik, hububat ilk sıralarda yer almaktadır. 2021 yılında Türkiye ve Ukrayna arasındaki ticari
açık 1,6 milyar dolara ulaşmıştır. Covid- 19 pandemisi döneminde 2020 yılında Rusya ve Ukrayna ile ithalat ve ihracatta yaşanan aksaklıkların ardından 2021 yılında toparlanmalar yaşanmıştır. Aynı şekilde 2022 yılı şubat ayında
yaşanan Rusya, Ukrayna savaşının; petrol, doğalgaz ve buğday ithalatından ciddi şekilde bu iki ülkeye bağlı olan Türkiye’yi nasıl etkileyeceği ilerleyen zamanda daha net gözükecektir.
Detection of feline panleukopenia with antigen test kit
Authors: Priambudi M. Zuliono Dwi Risky , Haskito Ajeng Erika Prihastuti , Inayah Khoirul , Adrenalin Sruti Listra
Published: October 2022

Feline panleukopenia is an infectious disease caused by the feline panleukopenia virus (FPV). The signs of infected cats in-clude fever, lethargy, anorexia, diarrhoea, and vomit. A secondary infection can exacerbate this condition, such as bacteria. The aim of this study to find out the diagnostic technique and the FPV detection method using the FPV antigen test kit. On August 2nd, 2021, the cat was brought to Griya Fauna Mojokerto with severe flu. In addition, based on the information, the cat has decreased appetite. The physical examination results that the temperature was 39.5 °C, bodyweight of 2.9 kg, and the cat looked weak when observed. Further, the FPV antigen test kit was used to confirm the diagnosis in this case. The FPV antigen test kit showed positive results that indicated by forming two lines on the test line (T) and the control line (C).
The Specifics of Teaching Social Work at Universities in Arab Countries
Authors: Elsayed Walaa , Yousif Nagwa Babiker Abdalla , Gad Salah
Published: October 2022

The processes of democratization, observed in recent years in the traditionally conservative Arab world, actualize the need for social workers, so the aim of the study was to study the features of teaching social work in Arab communities. Twelve universities with undergraduate programs in social work were randomly selected to compare these universities' curricula and social work programs and Ajman University. One conclusion is that social work programs in Arab communities should rely on traditional values of Islamic culture and legal literacy to achieve professionally necessary competence. Improvement of curricula and social work programs following international standards of the profession and taking into account the ethnocultural and religious characteristics of the Arab world will provide the Arab communities with highly qualified social workers who can competently provide support to the needy population categories.
Solving of the Quadratic Fractional Programming Problems by a Modified Symmetric Fuzzy Approach
Authors: A. Nawkhass Maher , Nejmaddin A. Sulaiman
Published: October 2022

The aims of the paper are to present a modified symmetric fuzzy approach to find the best workable compromise solution for quadratic fractional programming problems (QFPP) with fuzzy crisp in both the objective functions and the constraints. We introduced a modified symmetric fuzzy by proposing a procedure, that starts first by converting the quadratic fractional programming problems that exist in the objective functions to crisp numbers and then converts the linear function that exists in the constraints to crisp numbers. After that, we applied the fuzzy approach to determine the optimal solution for our quadratic fractional programming problem which is supported theoretically and practically. The computer application for the algorithm was tested, and finally compared modified symmetric fuzzy approach with the modified simplex approach which is shown in the table 1. Finally, the procedures of numeric results in the paper indicate that modified symmetric fuzzy approach is reliable and saves valuable time.
Investigating the Structural and Magnetic Properties of Nickel Oxide Nanoparticles Prepared by Precipitation Method
Authors: Hadi Karrar , M. Al- Saadi Tagreed
Published: October 2022

This work used the deposition method to synthesize nickel oxide nanoparticles. The materials mainly used in this study were nickel sulfate hexahydrate (as a precursor) and NaOH (as a precipitant). The properties of the nanopowder were characterized by XRD, FE-SEM, EDX, and VSM. The obtained results confirmed the presence of nickel oxide nanoparticles with a face-centered cubic (FCC) structure with a lattice constant (a=4.17834 Å). Scherer and Williamson-Hall equations were used to calculate the crystallite size of about (30.5-35.5) nm. The FE-SEM images showed that the particle shape had a ball-like appearance with a uniform and homogeneous distribution and confirmed that the particles were within the nanoscale. The presence of oxygen and nickel atoms was confirmed by the EDX test. The magnetic properties results showed that nanoNiO had a narrow hysteretic loop. It consumed the least amount of energy and, therefore, can be used as a core for electric motors and transformers.
Nuevos registros para la funga afiloforoide (Basidiomycota, Agaricomycotina) de Chile
Authors: Riquelme Cristian , Cabrera-Pardo Jaime R. , Valdés-Reyes Christian , Gallardo-Pillancari Esteban , Rehbein Alexander , Silva-Reyes Pablo
Published: October 2022

Un catálogo o checklist recopila la información conocida sobre un grupo taxonómico particular en una región específica. La contrastación de las fuentes utilizadas y la definición de los criterios empleados para la elaboración del catastro hacen del resultado final un material útil para la toma de decisiones sobre conservación de la biodiversidad. Los hongos afiloforoides (Basidiomycota, Agaricomycotina) son una categoría artificial que incluye principalmente a los políporos, corticioides y clavarioides. Tradicionalmente la taxonomía, sistemática y biogeografía del grupo a nivel local ha sido escasamente tratada. Este trabajo presenta datos actualizados sobre 16 especies de hongos afiloforoides de Chile, incorporando nuevos registros, nuevas localidades y nuevos datos sobre la ecología del grupo. A su vez, agrega nueva información sobre especies recientemente descritas. La realización de inventarios de especies y el monitoreo constante de los nuevos datos generados sobre un grupo taxonómico determinado, además del valor de las colecciones biológicas juegan un rol de extrema relevancia en la conservación de la biodiversidad.
Two new stipitate species of Phylloporia (Basidiomycota, Hymenochaetaceae) from Chamela Biology Station, U.N.A.M. in Jalisco, Mexico
Authors: Chamorro-Martínez Hannya Andrea , Raymundo Tania , Martínez González Cesar Ramiro , Aguirre Acosta Elvira , Valenzuela Ricardo
Published: October 2022

Phylloporia species are characterized by having annual to perennial, with resupinate, pileate-sessile to pileate-stipitate basidiomata, and duplex context. They have monomitic to dimitic hyphal system, basidiospores are globose to cylindrical, thick-walled, yellowish to pale brown in KOH. The genus includes 72 species described worldwide, and only eight taxa have been recorded in Mexico, five of which have been molecularly characterized. The objective of this study is to describe and illustrate two new stipitate species of Phylloporia from the Chamela Biology Station located in the municipality of La Huerta in the state of Jalisco, Mexico: P. rajchenbergii and P. ryvardenii. For this, the specimens were reviewed in detail in order to describe their macroscopic and microscopic characteristics, DNA extraction was performed and the 28S rDNA (LSU) was amplified by PCR. Phylogenetic analyzes were performed using Bayesian Inference and Maximum Likelihood methods. It is corroborated that Phylloporia rajchenbergii and P. ryvardenii differ from the species described in the genus due to the color of the pileus, the size of the pores, the type of context (homogeneous in P. ryvardenii) and the size of the basidiospores; in addition, both species form different clades in the phylogenetic analyzes carried out.
Analysis of the Teaching Strategy of English Continuation Task in Senior High School from the Perspective of Metacognitive Theory
Authors: Qin Li , Min Xie
Published: October 2022

With the emergence of new question type in the English reform of college Entrance examination, the academia has set off a research craze of "continuation task".This paper uses questionnaires and interviews with teachers to investigate and study the implementation, effect and existing problems of continuation task in senior high school English reading.Based on the teaching status and existing problems, this paper puts forward three strategies to improve the teaching effect of continuation task from the perspective of metacognitive theory, in order to help front-line English teachers in senior high schools effectively implement continuation task teaching, improve students' ability and level of continuation task, and thus improve students' English learning effect.
Quantification of Adsorption of Water on Clay Surfaces and Electrical Double Layer Properties Using Molecular Simulations
Authors:   The University of Texas at Austin, Silveira de Araujo Isa , Heidari Zoya ,   The University of Texas at Austin
Published: October 2022

Quantification of adsorption of water on the clay mineral surface at a molecular scale can provide fundamental insights on the properties of electrical double layer (EDL), cation exchange capacity (CEC), and production performance of clay-rich formations. However, there are limited fundamental studies on quantifying the impacts of reservoir temperature/pressure on water adsorption on clay surface, and on the factors controlling the properties of EDL. In this project, we use molecular simulations to (i)investigate water adsorption on clay minerals (ii)quantify the impacts of reservoir temperature onadsorption (iii) investigate the structure of the EDL onclay surface as a function of electrolyte concentrationand pore size and calculate diffusion coefficients. Grand Canonical Monte Carlo (GCMC) simulations are performed to calculate water adsorption. These simulations are performed at 330K at the pressure of 5MPa. Then, an electrolyte (including NaCl) is added to the system and Molecular Dynamics (MD) simulations are performed at temperature range of 330K to 380K. To investigate the impact of electrolyte concentration on the geochemistry of the solid-fluid interface, these simulations are performed at electrolyte concentrations ranging from of 0.7 mol/dm3, 1.4 mol/dm3 and 1.9 mol/dm3. To analyze the effects of confinement on water adsorption, MD simulations performed on 2 and 4 nm-wide illite slit pores. We applied the proposed methods on multiple types of clay minerals including illite and kaolinite. Our results show the formation of two hydration layers on the surface of illite and kaolinite. We found that the position of the adsorbed cations and anions inside the clay nanopore do not change significantly with ionic strength, and that clay geochemistry is the main factor determining the adsorption planes of ions. As temperature increases the mobility of water and ions increase, however when temperature is increased from 360 K to 380 K the increase in mobility is not significant. Results also showed that the diffusion coefficient of molecules across the surface of clay walls is smaller compared to that parallel to the surface. Besides that, we found that as confinement effect increases, spatial distribution of ions does not change, but the van der Waals interactions between clay surface and brine increases. Quantification of water adsorption and characterization of EDL in clay minerals at reservoir conditions cannot be easily assessed experimentally. The proposed method enabled quantifying water adsorption and EDL characterization in different types of clay minerals and elucidating the clay-water interface at such conditions. The outcomes of this work can potentially contribute to development of quantitative models for CEC and wettability assessment as a function of geochemistry of the rock.
A New Method of Integrating Rockphysics and Geomechanics for Simulating Deformable and Permeable Behavior of Tight Carbonate for Optimised Reservoir Development
Authors:   Baker Hughes, Prasad Umesh , Hanif Amer ,   Baker Hughes, Bhatt Pranjal K. ,   Baker Hughes, Jibar Hayat Abdi Ibrahim ,   ADNOC Onshore, Khan Karem Alejandra ,   ADNOC Onshore, Salahuddin Andi Ahmad ,   ADNOC Onshore
Published: October 2022

The energy industry, including the new focus on geothermal and carbon sequestration processes, deals with porous and permeable formations. Under the influence of effective stress, these formations undergo elastic and inelastic deformation, fracturing, and failure, including porosity and permeability changes during production. Grain and Bulk moduli of elasticity are two key parameters that define net effective stress due to partitioning of stresses between the pore pressure and grain-to-grain contact stresses. Effective stress explains poroelastic behavior; however, tight rock behavior under in-situ conditions is still not predictable. This paper proposes a new method, which uses formation evaluation (FE) measurements, and an integration of rock physics and geomechanics concepts, to constrain effective stress in tight rocks. Examples are presented demonstrating the usefulness of the work. Effective stress (σ′) is expressed as the difference between total applied stress (σ) and pore pressure multiplied by Biot’s coefficient (α). The ‘α’ for highly porous rocks is unity where applied load is counteracted equally by grain-matrix and pore-pressure. However, for tight rocks, only a fraction of load is shared by pore fluid and the ‘α’ is much smaller than unity. Biot’s coefficient ‘α’ is expressed in terms of bulk modulus (Kb) and matrix modulus (Kma). Kb is estimated from acoustic logs as well as measured by hydrostatic compression tests in the laboratory. However, Kma is much more difficult to measure safely and economically, especially in tight or very low permeable formations, and as such, the common practice is to estimate it theoretically. A simple and clear methodology is proposed to estimate Kma from FE logs as well asX-RayDiffraction (XRD) mineralogy obtained from formation core and drill cuttings. Kma can be constrained by an upper-bound (Voigt, 1910), a lower- bound (Reuss, 1929), and an average of the two, (Hill, 1963) models. Kb, on the other hand, can be reliably estimated using dynamic acoustic wave velocity and the static equivalents calculated during calibrations from core tests under net effective in-situ stress conditions. The Kma and Kb, thus obtained, will give a good estimate of Biot’s coefficient ‘α’ in tight rocks. The work provides an improved estimate of net- effective-stress in tight rocks, which leads to safety and cost savings through better prediction of drilling rates, hydraulic fracture design and production decline. The work also examines a new method in which Kma could be estimated by weight fraction of minerals.
Flow Dependent Relative Permeability Scaling for Steady-State Two-Phase Flow in Porous Media: Laboratory Validation on a Microfluidic Network
Authors:   University of West Attica, Valavanides Marios , Karadimitriou Nikolaos ,   University of Stuttgart, Steeb Holger ,   University of Stuttgart
Published: October 2022

Conventionally, the relative permeabilities of two immiscible fluid phases flowing in porous media are considered and expressed as functions of saturation. Yet, this has been put into challenge by theoretical, numerical and laboratory studies of flow in artificial pore network models and real porous media. These works have revealed a significant dependency of the relative permeabilities on the flow rates, especially when the flow regime is capillary to capillary-viscous dominated, and part of the disconnected non-wetting phase (NWP) remains mobile. These studies suggest that relative permeability models should include the functional dependence on flow intensities. However, revealing the explicit form of such dependence remains a persistent problem. Just recently, a general form of dependence was inferred, based on extensive simulations with the DeProF model for steady-state two-phase flows in pore networks. The simulations revealed a systematic dependence of the relative permeabilities on the local flow rate intensities. This dependence can be described analytically by a universal scaling functional form of the actual independent variables of the process, namely, the capillary number, Ca, and the flow rate ratio, r. The proposed scaling comprises a kernel function accounting for the transition between capillarity- and viscositydominated flow phenomena. In a follow-up systematic laboratory study SCAL measurements provided a preliminary proof-of-concept on the applicability of the model and validated its specificity. In the laboratory study presented here, we examine the applicability of the basic flow-rate dependent relative permeability scaling model in immiscible two-phase flows in an artificial two-dimensional microfluidic network, across different flow regimes. In particular, we assess the applicability of the flowdependent relative permeability scaling model in a microfluidic pore-network and we correlate the form of the associated kernel function with the interstitial structure of the flow across different flow regimes. The scope is to assess the applicability and/or universality of the aforementioned scaling function and to examine the forensic character of the kernel function, i.e. the potential for revealing the interstitial flow structure. The proposed scaling opens new possibilities in improving SCAL protocols and other important applications, e.g. characterization of systems and flow conditions, rock typing, assessment of end-effects during R/SCAL, as well as the development of more efficient field-scale simulators.
Deep Learning for Multiwell Automatic Correction
Authors:   Schlumberger, Simoes Vanessa , Maniar Hiren ,   Schlumberger, Abubakar Aria ,   Schlumberger, Zhao Tao ,   Schlumberger
Published: October 2022

There have been numerous efforts exploring the application of machine learning (ML) techniques for field-scale automated interpretation for well log data. A critical prerequisite for automatic interpretation via computational means is to ensure that the log characteristics are reasonably consistent across multiple wells. Manually correcting logs for consistency is laborious, subjective, and error prone. For some logs, such as gamma ray and neutron porosity, systematic inconsistencies or errors can be caused by borehole effects as well as miscalibration. Biased or consistently inaccurate data in the logs can confound ML approaches into learning erroneous relationships, which leads to inaccurate lithology prediction, reservoir estimation, and incorrect formation markers, etc. To overcome such difficulties, we have developed a deep learning method to provide petrophysicists with a set of consistent logs through an automated workflow. Presently, the corrections we target are systematic shifts or errors on the common logs, especially gamma ray and neutron logs, and to a lesser extent, local errors due to washouts. This workflow can be separated into two steps. The first step represents a semiautomated approach for selecting wells to be used as training and validation; this approach employs statistical analysis to detect and segregate wells with similar log distributions. The second step is the core process of this workflow. It samples intervals across multiple logs identified by the first step and trains a convolutional neural network (CNN) with a U-Net architecture to identify and correct systematic errors such as shifts, gains, random noises, and small local disturbances. The training process is self-supervised and does not require any human labels. This self-supervised deep learning methodology is capable of automatically discovering unique implicit features and contextually applying the relevant log correction. The proposed method has been applied to multiple oil fields around the world. Field tests were successfully conducted in two scenarios. The first scenario aims to correct for synthetic noise and artifacts added to field data when triple-combo logs (gamma ray, density, neutron, and resistivity logs) were available—in this scenario the tests were targeted to correct systematic errors to the gamma ray logs or to both gamma ray and neutron porosity logs simultaneously. The second scenario aims to correct for original field noise in gamma ray logs and neutron porosity logs when quad-combo logs (gamma ray, density, neutron, resistivity, and compressional slowness logs) are available.
Uncertainty in Automated Well Log Correlation Using Stochastic Dynamic Time Warping
Authors:   Saudi Aramco, Al Ibrahim Mustafa A.
Published: October 2022

Well log correlation is used extensively to generate subsurface cross-sections from the sparse well data. This is commonly done by a subject matter expert such as stratigraphers and exploration geophysicists. Several methodologies exist for automating the procedure with varying success. Dynamic time warping (DTW) is a signal processing technique where one signal is locally stretched and squeezed to maximize similarity between a reference second signal. This is done by calculating a similarity cost matrix that is traversed to minimize the cumulative distance. The technique produces reasonable results when applied to the well correlation problem. The produced correlation, however, is deterministic, and thus, it does not allow for studying the associated uncertainty. This study presents an extension of the traditional dynamic time warping to allow the generation of multiple realizations of correlations. To accomplish this, the cost matrix is traversed deterministically or probabilistically based on a local correlation metric, e.g., the local correlation coefficient. The resultant realizations show stability in the correlation markers where the signals are similar and instability where they are not. The methodology is applied on two adjacent wells. Multiple well log types (gamma ray, sonic, and resistivity) are used to construct the similarity cost matrix between the two wells. The cost matrix is traversed multiple times to produce multiple realizations. The produced realizations are geologically acceptable. By generating large number of realizations, the uncertainty in the solutions is quantified. While the application presented here relates to well log correlation, the presented stochastic dynamic time warping methodology can be applied on other types of signals and data such as seismic, chemostratigraphy data, and real-time drilling measurements.
Use of Symbolic Regression for Developing Petrophysical Interpretation Models
Authors:   Halliburton, Chen Songhua , Shao Wei ,   Halliburton, Sheng Huiwen ,   Halliburton, Kwak Hyung ,   Saudi Aramco
Published: October 2022

A new physics-guided AI machine learning method for petrophysical interpretation model development is described. The workflow consists of the following five constituents: (1) statistical tools such as correlation heatmaps are employed to select the best candidate input variables for the target petrophysical equations; (2) genetic programming based symbolic regression approach is used to fuse multiphysics measurements data for training the petrophysical prediction equations; (3) an optional ensemble modeling procedure is applied for maximally utilizing all available training data by integrating multiple instances of prediction equations objectively, which is especially useful for a small training dataset; (4) a means of obtaining conditional branching in prediction equations is enabled in symbolic regression to handle certain formation heterogeneity; and (5)a model discrimination framework is introduced to finalize the model selection based on mathematical complexity, physics complexity, and model performance. The efficacy of the five-constituents petrophysical interpretation development process is demonstrated on a dataset collected from six wells for a goal of obtaining formation resistivity factor (F) and permeability (k) equations for heterogenous carbonate reservoirs. This study demonstrates that this new petrophysical model development process has many advantages over traditional empirical methods or other commonly used AI methods.
Anotaciones multimedia y etiquetado social como metodología activa para las videoconferencias
Authors: Pérez-Torregrosa Ana-Belén , Cebrián-Robles Violeta , Ruiz-Rey Francisco-José , Cebrián-de-la-Serna Manuel
Published: October 2022

Las condiciones generadas por el Covid-19 en el curso académico 2020-21 obligó a una educación a distancia para garantizar la continuación de la enseñanza en todas las universidades del mundo. Gracias a la tecnología la educación no se paró, pero obligó a los docentes a buscar metodologías más activas en las videoconferencias. El presente estudio analiza la metodología de anotaciones multimedia -MAM- aplicado en un seminario presencial que fue obligado a virtualizar totalmente mediante videoconferencias. El estudio consiste en un diseño de investigación descriptivo y cualitativo del análisis por categorías de 310 anotaciones y etiquetado social sobre los contenidos/conferencias en formato video, junto con un cuestionario sobre la satisfacción de la metodología aplicada. Los resultados de esta prueba de concepto fue una metodología más activa para las videoconferencias obteniendo una alta satisfacción y participación por los estudiantes con una correlación entre variables de 0,686 según prueba KMO.
PLANEJAMENTO E AVALIAÇÃO NO ENSINO SUPERIOR DO BRASIL
Authors: Ferreira da Silva Adriana , Oliveira Fernandes Carvalho Lillian
Published: October 2022

O presente trabalho destaca o desenvolvimento e implementação dos planos institucionais do ensino superior, assim como o planejamento e formulação de estratégias que comprometem e desafiam o andamento dessas instituições. Nesse contexto reconhecer a avaliação como fator essencial para apoiar as IES em suas conquistas e desafios torna-se um fator de grande importância para a Educação Brasileira. Com isso as avaliações das instituições acadêmicas acontecem sistematicamente com o propósito de conceder melhorias na qualidade da aprendizagem, além de demonstrar como tem ocorrido a evolução das instituições da educação superior. Através da avaliação e planejamento pode-se criar estratégias de gerenciamento, além de que questões referentes a conceitos organizacional são analisados, e os pontos externos e internos são determinados, e com isso é elaborado a melhor maneira de alcança os objetivos de cada instituição.
The Deubiquitinating Enzyme USP4 Functions as an Oncoprotein in Gastric Cancer and Mediates NF-κB Signaling by Regulating PRL-3 Expression
Authors: Tao Yuanyuan , You Wendao
Published: October 2022

Background: It has been reported that ubiquitin specific peptidase 4 (USP4) was functional in several tumors, but its function and mechanism in gastric cancer were still unknown. Methods: Bioinformatic tools were used to predict the prognosis of gastric cancer patients and the expression levels of USP4 in gastric cancer. Quantitative real-time polymerase chain reaction (qRT-PCR) and immunoblotting were carried out to detect the messenger RNA (mRNA) and protein levels. Cell viability of gastric cancer was evaluated by Cell Counting Kit-8 (CCK-8) assay. Cell line-derived xenograft models were established to evaluate the tumor growth of gastric cancer. Luciferase assay and immunoblotting were used to determine the activation of nuclear factor kappa B (NF-κB) signaling. Results: The public database Kaplan-Meier Plotter showed that gastric cancer patients with high USP4 expression had a shorter overall survival or post-progression survival than the patients with decreased USP4. Further studies indicated that USP4 was elevated in gastric cancer tumor tissues. In contrast, knockdown of USP4 markedly inhibited gastric cancer cell growth, and suppressed the tumor growth of gastric cancer. Further studies revealed that USP4 knockdown significantly suppressed NF-κB-driven luciferase activity, and inhibited the phosphorylation of NF-κB p65 in gastric cancer cells. Additionally, qRT-PCR analysis showed that USP4 knockdown significantly downregulated the expressions of cyclin D2 (CCND2) and B cell leukemia/lymphoma 2 (BCL2). We also found that USP4 knockdown decreased the expressions of phosphatase of regenerating liver-3 (PRL-3), in contrast, overexpression of PRL-3 attenuated the inhibitory effects of USP4 knockdown on NF-κB signaling and cell viability in gastric cancer cells. Finally, PR-619, which has been proven to inhibit the activities of USP4 and other deubiquitinases, could inhibit cell viability and NF-κB signaling in gastric cancer cells. Conclusions: This study indicated that elevated USP4 predicted a poor index for gastric cancer patients, and mediated gastric cancer cell growth by regulating PRL-3/NF-κB signaling, which suggested USP4 may be a novel therapeutic target for gastric cancer.
Update on the Value of Lung Ultrasound Examination in Acute Decompensated Heart Failure Patients with Various Left Ventricular Ejection Fraction
Authors: Zhang Hui , Zhu Yunlong , Li Na , Zeng Jianping
Published: October 2022

Acute decompensated heart failure (ADHF) is one of the most common causes of hospital admission for cardiovascular diseases. ADHF often affects the elderly population, is associated with high morbidity, admission rate and mortality. Pulmonary congestion (PC) is the most common cause of hospitalization among ADHF patients. Previous studies have shown that lung ultrasound (LUS) serves as a valuable tool for the evaluation of PC in patients with heart failure in terms of diagnosis, guiding of the treatment, and post-discharge monitoring. The use of LUS for ADHF is well described and already widely used in the daily clinical practice. PC might differ in ADHF patients with different left ventricular ejection fraction value and treatment options should be steadily adjusted according to the LUS-derived PC results to improve the outcome. This review summarized the value of LUS examination in patients with ADHF with preserved, mildly reduced, and reduced left ventricular ejection fraction, aiming to expand the rational use of LUS, promote the LUS-guided management and improve the outcome among patients with ADHF.
Early Exercise-Based Rehabilitation for Patients with Acute Decompensated Heart Failure: A Systemic Review and Meta-Analysis
Authors: Liu Lisong , Chen Jun , Zhao Ning , Zhang Mingming , Zhou Lihui , Ren Xiaoxia , Zhang Ting , Zhao Pengcheng , Hu Dayi , Pang Xingxue , Jin Zhongyi
Published: October 2022

Background: Cardiac rehabilitation is an important part of the therapeutic regimen for chronic heart failure. Acute decompensated heart failure (ADHF) in hospitalized patients were usually excluded from cardiac rehabilitation programs. The initiation of cardiac rehabilitation with ADHF usually occurs after hospital discharge. This study included recent clinical trials in patients beginning early exercise-based rehabilitation during their hospitalization and compared the efficacy and safety of early cardiac rehabilitation to ADHF patients who didn’t receive cardiac rehabilitation. Methods: Clinical trials were searched from the EMBASE, PubMed, CENTRAL, and WAN FANG. We included randomized controlled trials (RCTs) in which early exercise-based rehabilitation started during the index hospitalization, from the establishment of the database to July 2022. RevMan 5.4 was used for the statistical analysis. Results: Six studies, with a total of 668 patients were included; 336 patients in the early rehabilitation group and 332 patients in the control group. Exercise capacity was significantly improved in the 6-minute walk distance [mean difference (MD): 32.97, 95% CI: 31.03 to 34.90, p < 0.00001], and the Short Physical Performance Battery (MD: 1.40, 95% CI: 1.35 to 1.44, p < 0.00001). The rate of all-cause rehospitalization was significantly decreased in the early rehabilitation group (OR: 0.67, 95% CI: 0.45 to 0.99, p = 0.04). Conclusions: Early exercise-based rehabilitation for eligible ADHF in-patients starting during, or early after, hospitalization could significantly improve exercise capacity. A transitional, individualized, progressive, exercise-based rehabilitation program during hospitalization combined with post-discharge clinic rehabilitation is an integrated rehabilitation strategy for acute decompensated heart failure.
The duration of work-related fatigue as a criterion for assessing the workload and the cause of chronic diseases of workers
Authors: Sorokin Gennadiy A. , Chistyakov Nikolay D.
Published: October 2022

Introduction. The developers of fatigue risk management systems in the workplace note that there is no universal definition and a consistent way to measure workload, and that scientists have not sufficiently studied the relationship between workload and fatigue. The study aims to analyze the impact of the workload, estimated by the duration of the state of production-related fatigue of workers, on their subjective health and the risk of chronic diseases. Materials and methods. The study involved employees in three areas of employment: healthcare (697 employees), industry (751), education (687). Experts have determined four indicators of the risk of violation of the subjective health of employees during the year: the presence of chronic fatigue syndrome (Rcfs), deterioration of employee health during the year (Rdh), long-term illnesses during the year (Rli), fatigue accumulation during the year (Rfa). We have analyzed the diseases detected during periodic medical examination. The researchers have calculated the HFweek indicator - the duration of the fatigue state - "hours of fatigue per working week": HFweek (hour) = PRN (hour) × Kdf × Kff, where: PRN (hour) is the actual duration of the working week; Kdf and Kff are coefficients that take into account the degree and frequency of fatigue. We also have calculated the relative risk (RR). Results. The researchers have found that with more than 25 hours per week in 108 sample groups of workers in 25 cases, RR exceeded the control level by more than 5 times; in 44 comparison groups by 2.1-5 times and in 35 groups by 1.1-2.0 times. With a HFweek of more than 25 hours, there is an annual accumulation of fatigue (Rfa), similar in workers of all spheres of employment. At HFweek>15 hours, the RR of chronic diseases of the musculoskeletal, respiratory, nervous systems and skin was in the range of 1.31-1.83. The RR of diseases of the genitourinary system (women) and endocrine system increased by 1.13 times; diseases of hypertension, diseases of the digestive system, visual system RR÷1,05-1,07. Conclusion. The HFweek indicator is the physiological equivalent of the professional workload of employees in various fields of employment. With HFweek>25 hours, there is a sharp increase in health risks.
Differential expression of CXCL8 in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines sporadic ALS using published data (3, 4). We found significant differential expression of CXCL8, encoding C-X-C motif chemokine ligand 8, in induced pluripotent stem cell (iPSC)-derived motor neurons of patients with ALS. CXCL8 was also differentially expressed in fibroblasts isolated from patients with ALS. CXCL8 transcript was present at significantly higher levels in ALS iPSC-derived motor neurons. These analyses will begin to define the transcriptional landscape of ALS.