bluuebunny/crossref_metadata_2025 huggingface dataset:
The results of treatment for resectable gastric cancer with microsatellite instability
Authors: Sun H. , Nered S. N. , Tryakin A. A. , Artamonova E. V. , Kalinin A. E. , Bugaev V. E. , Stroganova A. M. , Besova N. S. , Arkhiri P. P. , Marshall V. I. , Abdulaeva R. Sh. , Stilidi I. S.
Published: June 2023

Background. microsatellite instability (MSI) is a prognostic marker of survival in many malignant diseases and show resistance to chemotherapy at early stages of colorectal cancer and show no benefits from chemotherapy at early stages of colorectal cancer. However, the role of MSI in resectable gastric cancer (GC) remains unknown.

Aim. To study the results of treatment of resectable gastric cancer with microsatellite instability.

Materials and methods. The study included 286 patients with resectable gC who received treatment at the N. N. Blokhin national medical Research Center of Oncology. All patients underwent PCR testing for MSI-H in 5 markers (BAT25, BAT26, NR21, NR24, NR27). Tumor regression grades (TRG) were evaluated according to the mandard tumour regression score, including disease-free survival and overall survival.

Results. MSI indicated in 27 cases (9.44 %) out of 286 resectable gastric cancer. In group patients who received only surgical treatment, 2-year disease-free survival in patients with MSI-H was 77.80 % versus 88.29 % in MSS patients (hazard ratio (HR) 1.82, 95 % confidence interval (CI) 0.37–8.82, p = 0.45), 2-year overall survival in patients with MSI-H was 88.90 % versus 95.36 % in MSS patients (HR 2.03, 95 % CI 0.20–19.8, p = 0.54). In patients who received perioperative chemotherapy, 28.57 % (4 / 14) had progression in MSI-H tumor versus 3.61 % (6 / 166) in MSS tumor (p <0.001). In group patients who received treatment combined with chemotherapy, 2-year disease-free survival in patients with MSI-H was 59.60 % versus 67.36 % (HR 1.96, CI 95 % 0.88–4.35, p = 0.09), 2-year overall survival in patients with MSI-H was 67.30 % versus 85.86 % in MSS patients (HR 1.86, 95 % CI 0.64–5.41, p = 0.25)

Conclusion. MSI-H is not a favorable prognosis factor in patients with resectable GC who are treated surgically combined with chemotherapy. The prevalence of progression in patients with MSI-H-status is higher than MSS-status with perioperative chemotherapy (FLOT / FOLFIRINOX).
Multimodal prehabilitation in a patient with right colon cancer, frailty and severe sarcopenia: a case report
Authors: Lyadov V. K. , Boldyreva T. S. , Prokhorov E. V. , Galkin V. N.
Published: June 2023

Background. The high frequency of frailty and sarcopenia in patients with cancer led to the development of «prehabilitation» concept. multimodal prehabilitation includes physical training, nutritional and psychological support before anticancer treatment.

Aim. we aim to present the results of treatment of a patient with frailty and severe sarcopenia who underwent a multimodal prehabilitation program before surgery for colorectal cancer.

Materials and methods. A 81-year-old woman with colon cancer was diagnosed with frailty and severe sarcopenia. The patient underwent a multimodal prehabilitation for 12 days prior to surgery, which included nutritional and psychological support as well as a supervised physical exercise program based on nordic walking.

Results. The patient gained weight. Also, she increased grip strength and gait speed. The postoperative period went uneventfully and the patient was discharged home 7 days after surgery.

Conclusions. multimodal prehabilitation is a potentially beneficial option in sarcopenic patients with frailty and colon cancer who need surgery.
PETRO SAHAYDACHNYI AND BOHDAN RÓŻYŃSKI: INTERTEXTUAL CONNECTIONS OF THE POEM «CZAJKI» AND THE EPIC POEM «ZŁOTA DUMA» BY BOHDAN JOSEF ZALESKI
Authors:   Taras Shevchenko national University of Kyiv, Slipchuk Daryna
Published: June 2023

The article describes the phenomenon of auto-intertext in the poetry of the second period of famous Polish romanticism poet Bohdan Zaleski. In particular, the role and nature of the mentions of Petro Konashevych-Sahaidachnyi and representatives of the Różyński family in the epic poem «Złota Duma» (or its excerpt «Monaster Trechtymirowski») and the poem «Czajki» are considered. The study of the poem « Czajki « reveals new examples of mythologizing hetman Sahaidachnyi, such as the concentration of several historical facts from different times into one event, the selection of episodes of history in accordance with ideology, and the glorification of a person. The poet suggested the recognition of Sahaidachnyi’s authority in Poland as well. The image of Sahaidachnyi developed later in the «Złota Duma», which is discussed in the previous study. The repetition of the ideas of the Ukrainian-Polish alliance in the poem confirmed the theory about the rational, and not the artistic, nature of the use of figures of Ukrainian history in the so-called «golden era» of relations between the two nations. The introduction of the Różyński family as an influential representative of the Ukrainian-Polish nobility, probably familiar to Sahaidachnyi, served as a justification for the idea of successful Ukrainian-Polish cooperation, an argument in favor of finding positive aspects of the neighborhood instead of focusing on tragedies. The attempt to build a positive image of a Ukrainian-Cossack-noble for the mutually beneficial salvation of his state, which was to grow into an inter-Slavic union, guided Zaleski in a greater extent than the desire to find an explanation for the failures that led to Poland’s loss of statehood. In the work on both poems, Zaleski worked on the same characters – Sahaidachnyi and two generations of Różyński’s – which, however, did not indicate that the poet’s horizons were limited. The phenomenon of auto-intertextuality emerging from this comes from Zalesky’s focus on the times of the most favorable climate of relations between the Ukrainian and Polish peoples. We assume that the technique was applied deliberately not only within the framework of the developed micro-theme, but also out of a desire to develop a fictional microuniverse based on historicism, to pour out a vision of a successful future for Ukrainians and Poles in an epic poem, wanting to match the genius of the greatest figure of Polish romanticism – A. Mickiewicz.
Developing a New Algorithm to Detect Right Thumb Fingernail in Healthy Human
Authors: Ebrahem Aseel Thamer , Younis Noor K. , Talab Azhar W. , Al-Sawaff Zaid H. , Kandemirli Fatma
Published: June 2023

Due to significant challenges faced by traditional methods of personal identification like fingerprinting, eye scanning, and voice recognition, new techniques are needed. One such approach involves the use of human nail images for identification and access to personal identification programs and electronic patient files. A novel algorithm, which consists of three stages, has been proposed utilizing the HSV color space detection algorithm, grayscale contrast optimization algorithm, nail segmentation, and image smoothing with a Gaussian filter. This method reduces tested image data and preserves the primary image structure, and has the potential to surpass the accuracy of traditional methods, providing an additional layer of security in personal identification programs and electronic patient files. Nail image detection can be conducted remotely and accessed through standard cameras or smartphones, making it a more hygienic and convenient option than physical contact methods such as fingerprinting or eye scanning. Moreover, the use of nail images for personal identification has several other benefits, especially in situations where traditional methods are not feasible, such as in individuals with skin conditions that prevent fingerprinting. The success of the proposed algorithm in detecting nail images for personal identification has implications beyond individual security and can be applied in different fields, including healthcare and forensic science, to improve identification accuracy and prevent fraud. For example, the use of nail images could help prevent identity theft in healthcare settings, where sensitive information is stored and exchanged.
Performance Analysis of Different Applications of Image Inpainting Based on Exemplar Technique
Authors: Prasanthi Tammineni Shanmukha , Rayavarapu Swarajya Madhuri , Lavanya Yenneti Laxmi , Kumar Gottapu Santosh , Rao Gottapu Sasibhushana , Goswami Raj Kumar , Yegireddy Narendra Kumar
Published: June 2023

In this age of rapidly developing image processing, inpainting has been a popular and practical art. Researchers have paid considerable attention to image inpainting throughout the years due to its enormous significance and effectiveness in a wide range of image processing applications, including the removal of scratches, the elimination of objects, and the modification of faces. It is one of the most challenging issues in image processing, demanding a comprehensive understanding of the image's texture and structure. The quality of inpainted image is a crucial factor which determines how close the inpainted image is to the original image. Many improvements have been implemented in the exemplar-based approach to increase the quality of inpainted regions containing structure and texture information. There are numerous ways to assess the quality of an inpainted image. In this study, the applications of exemplar based inpainting are evaluated using standard analytical measures including Sum of Absolute Difference (SAD), Peak Signal-to-Noise Ratio (PSNR), Correlation Coefficient, and Structural Similarity Index Measure (SSIM).
Air Pollution Detection and Control System Using ML Techniques
Authors: Sanapala Anuradha , Lakshmi B. Jaya , Kundra K Sandhya Rani , Madhuri K. B.
Published: June 2023

In present times, air pollution is increasing day by day, depriving the health of many people due to the various toxic components in air. So, it is necessary to monitor and detect the levels of pollution in various areas and try to control it by taking precautionary actions. Air pollution detection and control system is all about detecting the level of pollution in a particular area based on the amount of polluting components and proposing the measures to control the pollution. Analysis is made on the regions of Visakhapatnam city in Andhra Pradesh, India and grouped based on their pollution and displayed along with each component level, reasons for the pollution depending on each component and measures that can be followed. Apart from this, we also display list of top 10 regions with the highest values for each component which can be used to identify the harmful regions based on the toxic components.
Context Mining with Machine Learning Approach: Understanding, Sensing, Categorizing, and Analyzing Context Parameters
Authors: Chavhan Pranali G. , Patil Ritesh V. , Mahalle Parikshit N.
Published: June 2023

Context is a vital concept in various fields, such as linguistics, psychology, and computer science. It refers to the background, environment, or situation in which an event, action, or idea occurs or exists. Categorization of context involves grouping contexts into different types or classes based on shared characteristics. Physical context, social context, cultural context, temporal context, and cognitive context are a few categories under which context can be divided. Each type of context plays a significant role in shaping our understanding and interpretation of events or actions. Understanding and categorizing context is essential for many applications, such as natural language processing, human-computer interaction, and communication studies, as it provides valuable information for interpretation, prediction, and decision-making.

In this paper, we will provide an overview of the concept of context and its categorization, highlighting the importance of context in various fields and applications. We will discuss each type of context and provide examples of how they are used in different fields. Finally, we will conclude by emphasizing the significance of understanding and categorizing context for interpretation, prediction, and decision-making.
Determining The Number of Principal Components with Schur's Theorem in Principal Component Analysis
Authors: KARAKUZULU Cihan , GÜMÜŞ İbrahim Halil , GÜLDAL Serkan , YAVAŞ Mustafa
Published: June 2023

Principal Component Analysis is a method for reducing the dimensionality of datasets while also limiting information loss. It accomplishes this by producing uncorrelated variables that maximize variance one after the other. The accepted criterion for evaluating a Principal Component’s (PC) performance is λ_j/tr(S) where tr(S) denotes the trace of the covariance matrix S. It is standard procedure to determine how many PCs should be maintained using a predetermined percentage of the total variance. In this study, the diagonal elements of the covariance matrix are used instead of the eigenvalues to determine how many PCs need to be considered to obtain the defined threshold of the total variance. For this, an approach which uses one of the important theorems of majorization theory is proposed. Based on the tests, this approach lowers the computational costs.
Co(II) Adsorption onto Ferrous Chloride and Thermally Modified Diatomite: Surface Properties and Adsorption Mechanism
Authors: GÖKIRMAK SÖĞÜT Eda , ÇELEBİ Metin
Published: June 2023

As a potential alternative for heavy metal removal, adsorption using various low-cost materials is one of the most effective methods. This study presents the efficiency of local diatomite modified by ferrous chloride and heat treatment in removing Co(II) from an aqueous solution. The samples were characterized by ICP, XRD, TG-DTA, FTIR, SEM, and BET analyses and the adsorption efficiency of the samples for Co(II) ions was investigated under different factors such as contact time and pH. The adsorption equilibrium was well described by the Langmuir isotherm model, with the maximum adsorption capacities of DA, DM, DM-550°C and DM-850°C at about 18.18 mg L-1, 28.65 mg L-1, 48.30 mg L-1, and 66.22 mg L-1, respectively. The kinetic data were best fitted to the pseudo-second-order model. In addition, ion exchange and electrostatic surface complexation were predicted to play dominant roles in the adsorption mechanism. The results showed that the selected modification methods were effective in removing heavy metals from aqueous solutions, making the samples potentially cost-effective adsorbents to remove the water pollution problem
The Effect of The Bearing Capacity of Sub-Grade Soil on The Thickness and Cost of The Superstructure of Chip Seals
Authors: TANYILDIZI Muhammed , ÇINAR Muhammet
Published: June 2023

applied for preventative treatment of an existing road or to overlay low-trafficked roads. The thickness of the superstructure of a chip seal pavement is directly related to the bearing capacity of sub-grade soil. The bearing capacity of soil is represented by Resilient Modulus (MR) for the design of the thickness of layers. This study has focused on the effect of the bearing capacity of sub-grade soil on the thickness and cost of superstructures of chip seals. In addition, linear regression analysis was performed to investigate the relationship between the bearing capacity of the subgrade soil and the thickness of the superstructure. Two-dimensional numerical modeling was performed with the layer thicknesses found according to the resilient modulus. It was indicated that there was a strong correlation between the bearing capacity of sub-grade soil and the thickness of superstructures of chip seals with high R-square values. An increase in the bearing capacity of the subgrade resulted in a decrease in the thickness of the superstructures of the chip seal. So, it has importance in the aspect of economical to select the most proper soil that will be used in the superstructure of chip seals by taking care of the environment and conditions. In addition, Plaxis 2D modeling shows that a double-chip seal has less deformation and better bearing capacity than a single-chip seal.
Carbon Dioxide Absorption Using Different Solvents (MEA, NaOH, KOH and Mg(OH)2) in Bubble Column Reactor
Authors: GUL Ayse , TEZCAN ÜN Ümran
Published: June 2023

The aim of this research is to reduce emissions by capturing carbon dioxide in a solution using an absorption method. The absorption capacity, absorption rate, carbon dioxide removal efficiency, and overall mass transfer coefficient of MEA (Monoethanolamin) and alkaline solvents (NaOH, KOH, Mg(OH)2) were investigated using a bubble column gas absorption reactor with counter current flow. The effects of operational parameters such as solvent concentration (0.01, 0.05, and 0.25M) and solvent type were studied. As a result of the study, it was determined that Mg(OH)2 was less effective in capturing CO2 than KOH, NaOH, and MEA. For all solvent types, the total mass transfer coefficient, absorption rate, and CO2 removal efficiency were increased with the increase in the concentration of solvent. The solvent concentration is increased from 0.01 M to 0.25 M to obtain the highest KGa values for MEA, NaOH, and KOH, 3.75 1/min for MEA, 3.70 1/min for NaOH, and 3.93 1/min for KOH.The MEA, NaOH, and KOH absorption rates were maximum at 0.25 M solvent concentrations as 0.19x103 mol/Ls. The maximum CO2 removal efficiencies for MEA, NaOH, and KOH at 0.25 M solvent concentration are greater than 60%. The highest absorption capacity, 0.576 mol CO2/mol MEA, was obtained at a solvent concentration of 0.01M MEA.
NMR Spectroscopy in the Earth's Magnetic Field
Authors: AKAY Cengiz , ENGİN KİRİMLİ Handan
Published: June 2023

Magnetic imaging systems used today are quite expensive and are generally used for medical purposes. Apart from this purpose, there are many scientific fields of study whose internal structure is desired to be displayed. Especially in science, different from the techniques used to understand the internal structure of matter, magnetic imaging techniques are also needed. Therefore, the interest in more useful and smaller magnetic imaging systems is increasing. For this purpose, studies on magnetic particle imaging and magnetic resonance imaging techniques have gained momentum. The magnetic resonance imaging technique, which is one of the magnetic imaging systems based on the NMR phenomenon, has passed through numerous stages and has become smaller and more useful. This study examines the basic components of the NMR images made in the earth's magnetic field for different liquids, the T1 and T2 proton relaxation parameters, and the technique of the obtained two-dimensional images with the EFNMR system.
Investigation of Pyrolysis of Walnut Shells and Pyrolysis Oil Quality
Authors: ORAL Faruk , BEHCET Rasim , GÖNEL Emre
Published: June 2023

The energy demand is increasing in parallel with the technological developments and population in the world. Fossil fuels are the main source for this demand. As a result of energy production from fossil fuels, natural environment is adversely affected. Furthermore, many countries depend on the fossil fuels for their energy need. Researchers have been interested in alternative energy sources such as solar, biomass, and wind. There are many studies for investigating pyrolysis of lignocellulosic biomass. Studies mainly focused on the chemical structure of pyrolysis oil from different feedstocks. In this study, producing pyrolysis oil from walnut shells using pyrolysis reactor, investigating pyrolysis oil properties while comparing it with fossil fuels to determine if the oil can be used in internal combustion engines are investigated. The effect of pyrolysis reaction temperature on pyrolysis oil yield is studied. The results indicates that pyrolysis oil can be produced from walnut shells, the reaction temperature is an important factor on pyrolysis oil yield and pyrolysis oil has complex nature compare to fossil fuels.
Performance Optimization of Auxetic Structures on Energy Absorption of Cylindrical Sandwich Using Taguchi and ANOVA Methods
Authors: KAYA Onur , BADEMLİOĞLU Ali Husnu , KABOĞLU Cihan
Published: June 2023

High engineering requirements of shock absorbers have increased interest in auxetic materials, which have higher specific energy absorption performance compared to conventional solid absorbers. Last decade, many optimization studies were conducted to improve the energy absorption performance of auxetic tubular structures. Most studies focused on adding inner and outer shells to thin-walled auxetic tubular absorbers with different types of lattice structures to enhance energy absorption of the cylindrical sandwiches. There are limited studies on thicker-walled auxetic tubes and their related shell thicknesses to optimize performance. In this study, the thickness of the thicker-walled auxetic core thickness (1.2 mm, 1.6 mm, 2 mm), shell thickness (16 mm, 20 mm, 24 mm), and auxetic lattice structure (Re-Entrant Circular, SiliComb, and ArrowHead) were optimized to improve the specific energy absorption of cylindrical sandwiches. The Taguchi method was used to determine the optimum parameters for cylindrical sandwiches. In addition, the effect ratio of the parameters on the specific energy absorption was investigated using the ANOVA method. The energy absorption properties of the cylindrical sandwiches were determined using the drop-weight test. The highest specific energy absorption was obtained using a shell thickness of 1.2 mm and a core thickness of 16 mm using an SiliComb lattice. It was determined that the lattice geometry was the most effective parameter on the specific energy absorption of cylindrical sandwiches, with an effect rate of 61.62%.
Identification predictors of risk of dental implant rejection in the early postoperative period
Authors: Lakman Irina A. , Dolgalev Alexander A. , Stomatov Dmitry V. , Zolotaev Kirill E. , Semerikov Dmitry Yu. , Avanisyan Vazgen M. , Atapin Pavel M. , Usmanova Irina N. , Gurenko Sergey A.
Published: June 2023

BACKGROUND: The modern model of healthcare requires a paradigm shift in the thinking of healthcare managers, doctors, and patients. A personalized approach, identification of possible causes of diseases, and prevention of pathologies are the components of successful and quality healthcare delivery in our country. Dentistry is a field in which preventive, prophylactic, and personalized medicine is an integral part of patient care. One of the important tasks of modern digital dentistry is to find indicators that allow for predicting dental implant complications. The solution to this problem could be the creation of a medical decision support system that allows predicting outcomes before implant surgery.
AIMS: To reliably identify predictors of early (up to 6 months) risk of dental implant rejection by applying hierarchical Bayesian survival analysis models.
METHODS: Data collected retrospectively for patients who underwent dental implant placement between 2013 and 2022 were considered information bases. Data were generated from multicenter surveys conducted in dental implant centers in Stavropol, Moscow, and Penza. The total number of observed cases was 1472. A group of defined factors was considered candidate risk predictors, and the Bayesian hierarchical Cox model (Gsslasso Cox) was used to identify risk predictors.
RESULTS: After retrospective analysis of the collected data and screening out incomplete and poor-quality information, the database included a total of 39 variables (factors) for 1472 observations (implants). The multivariate analysis yielded the following predictors of risk of early dental implant rejection: male sex (hazard ratio [HR] 2.388, 95% confidence interval [CI] 1.345; 4.240, p=0.003), age at implantation (years; HR1.034, 95% CI 1.0081.041, p=0.011), oral hygiene (SilnesLow index; HR 2.439, 95% CI 1.2054.701, p=0.051), osteoporosis (HR 5.512, 95% CI 3.6848.248, p 0.001), bone width (mm; HR 0.823, 95% CI 0.7160.944, p=0.006), anesthetic type (local; HR 0.469, 95% CI 0.2340.944, p=0.034), localized periodontitis (HR 2.024, 95% CI 1.4522.821, p=0.039), and low-festooned, thick gingiva (HR=0.485; 95% CI: 0.358-0.658; p=0.0104).
CONCLUSIONS: This study shows that predictors of risk of dental implant rejection can be identified separately in the early postoperative period (up to 6 months) by using hierarchical Bayesian survival analysis models, and risk predictors different from those in the longer term are identified in this period.
Humus acids are promising compounds for the creation of new antimicrobial drugs
Authors: Benderskii Nikita S. , Popov Zahar S. , Popova Darya A. , Movchan Elena L. , Anuchina Elizabeth A. , Shiryaeva Valeria S. , Kozlovtseva Julia V. , Noskova Maria A. , Uzdenova Diana S. , Gantsgorn Elena V. , Kudelina Oksana M.
Published: June 2023

Infectious diseases are still the leading causes of morbidity and mortality worldwide, which prompts the need to prioritize research and development of new antimicrobial drugs with high pharmacological activity and favorable safety profile. One of the key directions in this field is the study of the potential of natural compounds, such as humus acids. Recent studies have shown that humus acids can exhibit multidirectional activity against various microorganisms and demonstrate synergistic pharmacological interaction with other drugs.
This review aimed to present a generalized and systematic analysis of currently available information on the known pharmacological effects and possible mechanisms of the antibacterial, antiviral, and antifungal activities of humus acids.
Evaluation of remineralizing efficiency of two calcium-based non-fluoridated remineralizing agents for the prevention of white spot lesions (WSL): A comparative FESEM & EDS in-vitro study
Authors: Wani Mohsin Aslam , Khattri Shantanu , Hassan Nadeem , Siddiqui Shiraz , Amir Mohd. , Zaffar Saeed
Published: June 2023

This research work was designed to appraise and equate the remineralizing efficiency of two calcium-based phosphate delivery agents, Casein Phosphopeptide-Amorphous Calcium Phosphate (CPP-ACP) and Calcium Sucrose Phosphate (CaSP) for preventing the development of White Spot Lesions (WSL) around the orthodontic brackets.

Forty orthodontically removed premolar teeth were randomly allocated to Group 1(n=20) - (CPP-ACP) and Group 2(n=20) - (CaSP). All the specimens were subjected to FESEM and EDS analysis before the initial demineralization phase and after 14 days of the pH cycling phase, to observe and record changes in surface topography and mineral content (Ca/P ratio % wt.). Statistical data for the Intragroup comparison were analyzed by using Paired sample t-test, whereas for the Intergroup comparison, an Unpaired t-test was performed. Furthermore, the One-way ANOVA test was applied for comparing Intragroup data and the Post-hoc Tukey test was applied to compare Intergroup data.

Group 1 samples showed an 11.3%increase in remineralization and Group 2 samples showed a 21.3%increase in remineralization, indicating a statistically significant (p < 0.05) 11% of greater remineralizing efficiency of CaSP.

The use of Calcium Sucrose Phosphate (CaSP) tooth cream around the orthodontic brackets seems to produce significantly better remineralization effects.
MODERN CONCEPTS OF GAMIFICATION IMPLEMENTATION IN THE TRAINING SYSTEM FOR TEACHERS OF THE UKRAINIAN AND ENGLISH LANGUAGES
Authors: Ruskulis LiliÑ–a , Maiboroda Rymma , Rodionova Inna , Gurduz Andriy , Aizikova Lidiia , Mkhytaryan Olha
Published: June 2023

The article clarifies that for the young people of the Zoom generation who have grown up in the age of the Internet, have unlimited access to any information and since childhood have been using digital technologies, classical higher education cannot provide everyone with necessary competencies and soft-skills by traditional methods. The study has defined that gamification is the introduction of computer games into educational activities, adding game elements to increase visualization, motivation training and, accordingly, the level of mastery of theoretical material, i.e. feedback with a student. It has been proved that gamification helps identify a leader and determine the level of training of an education seeker on this or that question (subject); unite students with a common language literary idea and direct all their efforts to its disclosure and representation; reduce the level of conflicts, andÂ  increase effectiveness of the educational process. The following components of the gamified process (user; accumulated points; game levels; ranking of participants; badges), forms (competitive, victorious and aesthetic) and services for introducing gamification into the education system (Alice, Scratch, Studio Code; CodeSchool; MotionMathGames; Mathematics; Spongelab; Kahoot!; Zombie-BasedLearning; MinecraftEdu; World of Classcraft (WoC); WildInternetWoods) have been characterized. The prerequisites for the implementation of the gamification method, to which the level of theoretical training of students, educational content, motivation of students of higher education to perform certain tasks, a level development of mental processes (thinking, perception, memory, attention, imagination and etc.) have been analyzed. The system of tasks, a quality control of which is organized by using games developed with the help of online Wordwall service has been developed and presented. The effectiveness of the implementation of the gamification method into the process of training of future teachers of the Ukrainian and English languages, which convincingly is represented by the diagram has been proved.
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TRANSFORMING THE STATUS AND ROLE OF THE TEACHER AT THE INSTITUTE OF HIGHER EDUCATION IN THE DIGITAL EDUCATIONAL ENVIRONMENT
Authors: Eflova Maria , Shamsutdinova Ilsiya , Maximova Olga
Published: June 2023

The purpose of this study was to investigate the role of teachers in the modern educational process. To achieve this goal, a large-scale survey of teachers (N=419) and students (N=1372) was conducted in 2022 at Kazan (Volga Region) Federal University (Russia), one of the leading universities in Russia. The research provides insights into the transformation of teaching status and role. The function of transferring theoretical knowledge is gradually giving way to a more student-centered approach, characterized by an increased emphasis on mentoring. The study identifies both traditional and emerging roles performed by higher education teachers in the context of digitalization within the modern information society.
Telemedicine, a Green Technology
Authors: Hoseini Elham
Published: June 2023

The Article Abstract is not Available.
Determining the Concentration of Particulate Matters and Microbiological Quality of Indoor Air in Intensive Care Units of Kashan Hospital, Iran
Authors: Vahidmoghadam Razieh , Mirzaei Nezam , Mousavi Gholamabbas , Nazari-Alam Ali , Nazeri Mehdi , Gholipour Sahar , Dehghani Rouhullah , Akbari Marzieh , Miranzadeh Mohammad Bagher
Published: June 2023

Introduction: Maintaining hospital air quality is very important, especially in intensive care units (ICUs), where patients undergo invasive procedures. Therefore, the present study was conducted with the aim of determining the relationship between particulate matters (PMs) and bioaerosols in pediatric ICU (PICU), neonatal ICU (NICU), and ICU open heart (ICU OH) of Shahid Beheshti Hospital in Kashan.
Materials and Methods: This cross-sectional study was conducted for six consecutive months, i.e., autumn and winter of 2021. PM samples were taken using a Grimm Dust Monitor and microbial samples were taken using a Quick Take 30 sampler. Kolmogorov-Smirnov test was used for analysis and then ANOVA and LSD were used for further tests.
Results: The maximum and minimum PM10 concentrations in the PICU and ICU OH were 59.19 and 9.71 μg/m3, respectively; and the maximum and minimum PM2.5 concentrations were 20.23 μg/m3 in the NICU and 4.69 μg/m3 in PICU. The mean PM concentration and the number of bacterial and fungal colonies were consistent with the WHO and EPA guidelines. Gram-positive Staphylococcus were the most abundant bacteria (90.96%). The most abundant fungi were Aspergillus (54.23%), Penicillium (15.64%), and Cladosperium (12.17%) species. There was also no significant relationship between PMs and bioaerosols.
Conclusion: The mean concentrations of PMs and bioaerosols match with the guidelines, which can be attributed to more observance of health protocols and restrictions on the movement of people into ICUs due to the COVID-19 outbreak.
The Effect of Job Stress on the Severity of Coronavirus Disease Symptoms in Iranian Hospital Nurses
Authors: Mortazavi Morteza , Ahmadinejad Parvin , Pazhohnia Morteza , Derakhshanjazari Milad
Published: June 2023

Introduction: Nurses' job stress during coronavirus disease is very high, which weakens the immune system. Furthermore, job stress plays an important role in the symptoms and clinical severity of this disease. Therefore, this study was conducted to determine the effect of job stress on the severity of coronavirus disease symptoms in hospital nurses in Iran.
Materials and Methods: This cross-sectional descriptive-analytical study was carried out on 400 nurses with a history of coronavirus disease in hospitals in Tehran, Iran, in 2021. Demographic and occupational information and clinical status of the subjects were collected from medical records and self-reports. The level of job stress in the subjects was determined using Osipow questionnaire with Cronbach's alpha coefficient of 0.83. Finally, the data were analyzed using ANOVA and the Pearson test in SPSS 19 software.
Results: The results of this study showed that the mean level of job stress increases with age, body mass index (BMI), and working hours (P < 0.05). Also, the mean level of job stress was higher in contractual and smoking nurses (P < 0.05). In this study, 20% of the subjects had severe job stress. Job stress decreased blood oxygen and increased the duration of shortness of breath and cough, gastrointestinal disorders, weakness and lethargy, and headache and dizziness in the subjects (P < 0.05).
Conclusion: Job stress in nurses experiencing coronavirus disease increases the severity and complete recovery time of coronavirus disease. It also increases the duration of the disease symptoms such as shortness of breath and cough, gastrointestinal disorders, weakness, headache, and vertigo.
Design and Development of Hospital Waste Management Strategies Using Quantitative Strategic Planning Matrix Technique: A Case Study in Iran
Authors: Mokhtari Mehdi , Pourkosari Fatemeh , Koupal Roghayeh , Askari Roohollah
Published: June 2023

Introduction: This study developed a strategic management plan for hospital waste in selected public hospitals using quantitative strategic planning matrix (QSPM) model.
Materials and Methods: This research was conducted in three stages. First, strengths, weaknesses, opportunities, and threats (SWOT) matrix of waste management was extracted and scored in public hospitals in Yazd. Then, the matrix of internal and external factors along with the obtained strategies were developed using the SWOT model. Finally, using the QSPM model, the attractiveness table was prepared for weighting the prioritized strategies.
Results: The final score of SWOT analysis showed that the studied hospitals were in a competitive position (WT strategy). According to the results, 14 prioritized strategies were proposed. According to the QSPM matrix, the strategy of "green management indicators improvement" was prioritized.
Conclusion: The competitive position of the studied hospitals indicates a situation where hospitals should promote their strengths and reduce their weaknesses in order to take advantage of opportunities.
Cobalt-Containing Oxide Catalysts Obtained by The Sol-Gel Method with Auto-Combustion in The Reaction of Low-Temperature Oxidation of Carbon Monoxide
Authors: ZULFUGAROVA Sima , AZİMOVA Gunel R , ALESKEROVA S Z , TAGİYEV Dilgam
Published: June 2023

The reaction of low-temperature oxidation of carbon monoxide is important in the context of air purification and reduction of automotive emissions. Along with the search for active catalytic systems for carbon monoxide oxidation, the development of new energy-saving methods of catalyst synthesis also seems important. Cobalt-iron, cobalt-manganese, cobalt-chromium, cobalt-copper binary and cobalt-manganese-iron, cobalt-copper-iron-containing triple oxide systems for low-temperature oxidation of carbon monoxide into carbon dioxide were synthesized by the sol-gel method with auto-combustion. The samples were analyzed by X-ray diffraction, IR spectral and derivatographic methods of analysis, their specific surface area was measured by the BET method, micro-photographs were taken on a scanning electron microscope. It was established that the resulting binary and ternary cobalt-containing oxide systems are multiphase systems containing ferrites, manganites, and oxides of cobalt, copper, manganese, and iron. The resulting catalysts are active in the low-temperature oxidation of carbon monoxide at 145-180 °C. The activation energy of the CO oxidation reaction on the analyzed oxide systems was revealed by the Arrhenius equation is placed in the range of 17-33 kJ/mol. In the systems, an intensifying effect of the influence of its components on the catalytic activity is observed in the oxide and spinel phases. The Co-Cr=2:1 system, which, along with chromite, also contains cobalt oxide, which is active at a much lower temperature – 145 °C than systems with a Co-Cr=1:1 and 1:2 ratios. A similar dependence was obtained in the Co-Fe=2:1 system, i.e. in a sample that, along with cobalt ferrite, also contains cobalt oxide. On this catalyst, 100% conversion of CO to CO2 occurs at a temperature of 200 °C, and a Co-Fe = 1:2 sample with a stoichiometric ratio of metals, in which the ferritization reaction completely occurs, as experiments have shown, is active only at temperatures above 300 °C. The intensifying effect of the influence of the components on its activity is also observed in three-component systems, in which the complete conversion of CO occurs at a temperature of 145-160 °C. The appearance of various structural defects during short-term combustion of the gel without additional heat treatment, which can potentially be considered as catalytically active centers, on the one hand, and the presence of oxide and spinel phases in the composition of catalysts, which exhibit a mutual reinforcing effect, on the other hand, is demonstrative advantage of this method for the synthesis of active catalysts for low-temperature oxidation of carbon monoxide to dioxide.
Sistema de gestión de la calidad con gobernanza e interculturalidad en Ecotur Yahuiche, Oaxaca
Authors: Martínez Ruiz Ofelia , Gómez Hernández Laura Lourdes , Méndez-García Elia
Published: June 2023

La innovación de procesos administrativos responde a uno de los retos de las empresas de turismo comunitario para la conciliación entre la organización comunitaria y el funcionamiento empresarial. El objetivo de este estudio es analizar el proceso de implementación de un sistema de gestión de la calidad (SGC) en Ecotur Yahuiche S. P. R. de R. I. desde un enfoque de gobernanza comunitaria e interculturalidad. Se empleó la metodología de investigación acción participativa y observación participante de manera transversal en la aplicación del método PHVA (ciclo Deming) para poner en marcha el SGC y adecuar la norma ISO 9001-2008 a las características de gobernanza e interculturalidad. Los resultados muestran que Ecotur Yahuiche fortaleció la prestación de servicios ecoturísticos con la implementación del SGC, a la vez que sostuvo los valores comunitarios e interculturalidad visitante-anfitrión.
Turismo y crecimiento económico mediante cointegración de datos panel para países latinoamericanos
Authors: Delgado Munévar William Gilberto
Published: June 2023

Este escrito establece las relaciones existentes entre crecimiento económico y desarrollo turístico en cinco países latinoamericanos: Colombia, Ecuador, Guatemala, México y Perú. El objetivo es obtener evidencia empírica que permita establecer la relación entre tales conceptos en los países de la muestra por medio de un modelo multivariado que emplea los ingresos reales por turismo per cápita, el número de llegadas de turistas internacionales per cápita, el tipo de cambio real efectivo —es decir, una variable proxy de la competitividad externa— y el PIB real per cápita mediante el empleo de la técnica de cointegración de datos panel heterogéneos. Por tal razón, se decidió realizar pruebas de cointegración y técnicas econométricas empleando mínimos cuadrados ordinarios totalmente modificados, por medio del uso de datos panel, utilizando para el escrito datos anuales del periodo 2000-2019. Como principales resultados se establece evidencia sólida de relaciones de cointegración de paneles entre desarrollo turístico y PIB para el caso de los cinco países latinoamericanos considerados en el estudio, así como la existencia de la relación entre ingresos por turismo y PIB de los países analizados.
Los focos de atención en las webs de turismo y su implicación en el seguimiento ocular
Authors: Castro Analuiza Juan Carlos , Acurio Villavicencio Santiago Andrés , Tacco García Ronny Steve
Published: June 2023

Este estudio proporciona una revisión de los focos de atención en las webs de viajes, alojamientos y restaurantes sobre la base del seguimiento ocular para medir el nivel de enraizamiento, densidad y coocurrencia de las categorías en las webs de turismo. Con base en la teoría fundamentada, se aplicó el método de comparación constante y el uso del software Atlas.ti como práctica analítica cualitativa. Tras la revisión, se define que las estructuras categóricas que más llaman la atención en los visitantes son las imágenes, la función de búsqueda y el texto; por su parte, el precio es el dato más sensible y el menos observado.
La Vía Verde del Aceite (Jaén-Córdoba, España), una oportunidad para el desarrollo rural en Andalucía
Authors: Cuesta Aguilar María José , Jurado Almonte José Manuel
Published: June 2023

En el marco del turismo sostenible, se abre con fuerza un nuevo producto: el cicloturismo, que aprovecha, entre otras, las vías verdes, antiguas infraestructuras ferroviarias ahora acondicionadas para el ocio activo. En pocos años se ha desarrollado una amplia red de vías verdes que recorren regiones y países.
En España destaca el Programa Vías Verdes, que ha sido una oportunidad para proteger un patrimonio ferroviario en desuso y que, a la vez, permite a turistas y a otros usuarios conocer y gozar un patrimonio cultural y natural que especialmente transita por espacios rurales. El Programa se ha convertido también en nuevas oportunidades económicas para esos territorios.
Con esta aportación se analiza, se diagnostica y se hacen algunas propuestas sobre una de estas vías, la denominada Vía Verde del Aceite, que recorre las provincias andaluzas de Córdoba y Jaén.
Innovación y crecimiento verde, una revisión desde la perspectiva turística
Authors: Velázquez-Castro Judith Alejandra , Cruz-Coria Erika , Briones Juárez Abraham
Published: June 2023

Esta investigación, de carácter teórico, realiza una revisión sistemática de algunos elementos básicos que relacionan el crecimiento verde con el turismo, con el propósito de reflexionar sobre la inferencia de las ecoinnovaciones y su contribución al cumplimiento de las directrices del crecimiento verde, el cual destaca las áreas de oportunidad y ventajas que brindarían a la naturaleza y a los sectores social y empresarial. Sobre la base de este análisis, que se desprende de la revisión de la literatura, se presentan una serie de recomendaciones para coadyuvar al desarrollo del sector turístico, en específico al sector hotelero, con el fin de fortalecer su competitividad y salvaguardar la herencia ecológica común.
Diyaliz hastalarında sistemik immün inflamasyon indeksi mortaliteyi öngörebilir
Authors: ERCAN Zafer , AYLI Mehmet Deniz
Published: June 2023

Amaç: Böbrek yetmezliğinde artmış inflamasyon söz konusudur. Serum ferritini bir akut faz reaktanıdır. Sistemik immün inflamasyon indeksi, kardiyovaskuler hastalıklarda ve kanserlerde prognostic önemi olduğu gösterilen, nötrofil, lenfosit ve trombosit sayılarından hesaplanan yeni bir belirteçtir. Bu çalışma, sistemik immün inflamasyon indeksinin diyaliz hastalarının mortalite riskini belirlemede kullanılabilirliğini ve mortalite ile ferritin düzeyleri arasındaki ilişkiyi belirlemeyi amaçlamaktadır.

Gereç ve Yöntemler: Çalışmaya 84 hemodiyaliz ve periton diyaliz hastası alındı. Hastaların bazal demografik, klinik ve laboratuvar verileri, tıbbi kayıtlardan elde edildi. Mutlak nötrofil lenfosit oranının, mutlak platelet ile çarpımı ile sistemik immün inflamasyon indeksi elde edildi.

Sonuç: Hastaların ortalama yaşı 51.3 ± 20.1olup, ortalama takip süreleri 60 (6 ~ 85) aydı. Takip süresince hastaların 45(%53) ü öldü. Hastalar medyan ferritin düzeyine göre analiz edildi. Kaplan-Meier analizine göre ferritinin yüksek olduğu grupta mortalitenin daha yüksek olduğu saptandı (log-rank test, P = 0.029).

Yine hastalar medyan sistemik immün inflamasyon indeksine göre analiz edildi. Kaplan-Meier analizine göre sitemik immün inflamasyon indeksinin yüksek olduğu grupta daha yüksek mortalite oranları saptandı (log-rank test, P = 0.029).

Çok değişkenli regresyon analizinde yaş (HR 1.060, P=0.00), Kt/V (HR 0.161, P=0.014), CRP (HR1.001, P=0.0429) ve Sistemik immün inflamasyon indeksi (HR 1.001, P=0.00) ve ferritin (HR) 1.001, P=0.013) tüm nedenlere bağlı ölümlerin en önemli belirleyicileriydi.

Tartışma: Yeni bir inflamatuar belirteç olan Sistemik immün inflamasyon indeks ve ferritin, diyaliz hastalarında tüm nedenlere bağlı ölümlerle ilişkilidir. Diyaliz hastalarında inflamasyonun Sistemik immün inflamasyon indeks ve ferritin düzeyleri ile takip edilebileceğini düşünüyoruz.
El palacio, la plaza y la fiesta en el imperio Inca
Authors: Morris Craig , Topic John R. , Pillsbury Joanne , Lechtman Heather , Curatola Marco
Published: June 2023

Este libro reúne diez de los más significativos ensayos de Craig Morris (1939-2006), eminente arquéologo especialista de la civilización inca. Sus excavaciones e investigaciones interdisciplinarias en los asentamientos administrativos incas de Huánuco Pampa, La Centinela y Tambo Colorado le permitieron adquirir un profundo conocimiento de la naturaleza de la infraestrucutra estatal en la periferia del Tahuantinsuyu y de los mecanismos políticos, económicos y religiosos a través de los cuales los señores del Cuzco ejercían su poder en las provincias.
Arguedas : conocimiento y vida
Authors: Pinilla Carmen María
Published: June 2023

Este libro trata de explicar el éxito de Arguedas en su apuesta por lograr un conocimiento, profundo y detallado de la realidad social peruana.
José María Arguedas, recuerdos de una amistad
Authors: Ortiz Rescaniere Alejandro
Published: June 2023

Un epistolario de 1938 a 1969, recuerdos personales y documentos, reviven una amistad: José María Arguedas, el amigo. La época, las penas y los amores se muestran en una correspondencia sencilla y privada. En estas cartas que intercambian, en los testimonios de los Ortiz, el lector encontrará a un Arguedas entrañable, fiel a los suyos, a un joven escritor y sus proyectos, un antropólogo con sus dudas y entusiasmos.