bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Arimax Model to Examine the Impact of Inflation Rate and Unemployment Rate on Poverty Level in Nigeria
Authors: O.E. Biu , I.A. Iwok , Eyela Edwin O. , L. Nkpordee
Published: July 2023

In this study, Autoregressive integrated moving average with exogeneous variables (ARIMAX) model was used to investigate the impact of inflation rate and unemployment rate on poverty level in Nigeria. These variables were subjected to the usual model building steps in linear time series.
The Kwiatkowski, Philips, Schmidt and Schin (KPSS) test was used to test the variables for stationarity. Differencing technique was used to obtain stationarities for the non – stationary series. Then, several ARIMAX models were built to identifiy the best model. The result showed that
ARMAX (2,0) fitted the series best and was used to generated forecasts for the next five years. Its shows a decrease in poverty level for the years 2022, 2023 and 2024 then a slightly increase for the year 2025. A comparative analysis was carried out with Peter et al (2016) which applied
vector Autoregressive model of order 2 to the aforementioned variables. The result further confirmed that ARMAX (2.0) performed best.
Computational Analysis of Reactive Third Grade Fluid In Cylindrical Pipe Using the Collocation Method
Authors: B.I. Obi
Published: July 2023

In this research work on numerical analysis of reactive third grade fluid in cylindrical pipe, collocation procedure were applied to analyze the flow regime. Results show that increase in the third grade, magnetic field, Eckert and Brinkman parameters increased both the velocity of
the fluid flow and temperature of the system.
A Mathematical Investigation of Flow of Third Grade Fluid in Channel Filled with Porous Media with Heat Source
Authors: B.I. Obi
Published: July 2023

In this study on flow of third grade fluid in channel filled with porous media in the presence of heat generation, the researcher considered and analyzed the effects thermo-physical parameters involved the momentum and energy equations. The nonlinear momentum and energy equations arising
from the flow regime is solved analytically using perturbation technique. Explicit expression for the velocity field and energy balance have been obtained Results show that a little increase in the third grade parameterß , Grashof number,G, and the
magnetic field parameter,M, reduces the velocity of fluid flow but enhances the temperature of the system greatly.
How New Zealand’s civil engineers are responding to recent floods and cyclones
Authors: Corbett Paul
Published: July 2023

New Zealand’s North Island was hit by multiple significant rainfall events at the start of 2023, resulting in extensive flood damage. Paul Corbett of Jacobs explains how civil engineers from the country’s highway authority are leading the recovery effort.
What is the relationship between fake news’ power and deep reading comprehension level?
Authors: Pacheco Letícia Priscila , Hübner Lilian Cristine
Published: July 2023

This paper discusses the role of deep reading comprehension in combating the endorsement and propagation of fake news. For this, we present a theoretical review on mechanisms for developing deep reading comprehension and critical reading skills and reflections on how fake news interacts with the collective thought and the unconscious of the reading public. We also suggest action possibilities for the improvement of the critical and competent reader through two journalistic texts published in digital media showing how information is presented in fake news. By identifying elements that can contribute to disseminating misleading information, we discuss how the manipulation of false narratives can influence the reading public. The analysis of the texts demonstrates how the social collective receives the fake news and takes it as accurate, intensifying the spread of disinformation. In this sense, it is vital to highlight the importance of deep reading to boost the critical capacity of the reader as a tool to stop the impact of fake news.
Os corpos outros na formação em saúde: em direção a uma perspectiva interseccional do paciente nos modelos cognitivos idealizados
Authors: Aver Vanin Aline , Gil Maitê Moraes
Published: July 2023

Este ensaio teórico busca discutir como aspectos do campo conceitual na formação em saúde podem ter consequências materiais na perspectiva assumida por futuros profissionais. A partir da fundamentação teórica dos Modelos Cognitivos Idealizados (MCI), refletimos sobre qual é o estereótipo social consagrado de paciente ideal nesse campo, e quais são os corpos outros que são ocultados e/ou pouco considerados, mais tarde, nos atendimentos em saúde. Propomos que o tensionamento desse MCI para a construção de sentidos que vejam as intersecções em saúde permite levar em conta o impacto de determinantes sociais da saúde na vida de pacientes que são atravessados por opressões as mais diversas e que ficam à margem desse MCI. Por fim, vislumbramos a necessidade de práticas de ensino que permitam perspectivar modelos culturais que se radializem para as margens, bem como de se aprofundar competências culturais nas faculdades de ciências da saúde.
Weniger Arbeitsmediziner – gleicher Arztvorbehalt
Authors: Merkel Hans-Jürgen , Wolf Annabel L. ,   Oberlandesgericht (OLG) Köln
Published: July 2023

Im Licht des zunehmenden Fachkräftemangels zeigt der folgende Beitrag die Möglichkeiten und Grenzen der Delegation gesetzlich definierter Leistungen im Arbeitsschutz vom Arbeitsmediziner zur Assistenz auf. Neben der allgemeinen Entwicklung im Personalsektor werden die sachbefangenen Aspekte im Bereich der Arbeitsmedizin dargestellt. Berufsrechtliche Fragen und Anknüpfungspunkte zur Beurteilung dessen, was muss, kann und darf, werden unter Berücksichtigung der Kernthemen Arztvorbehalt, persönliche Leistungserbringungspflicht, formale Delegation, Gesetzesgrundlagen (Arbeitssicherheitsgesetz, ASiG, und Verordnung zur arbeitsmedizinischen Vorsorge, ArbMedVV) und Haftungsfragen aus rechtlicher wie ärztlicher Sicht erörtert. Im Anschluss wird kurz auf mögliche Strafbarkeiten nach dem Strafgesetzbuch (StGB) eingegangen. Final werden Handlungsempfehlungen erarbeitet. Es sind bei weitem nicht alle Aspekte höchstrichterlich entschieden, doch gibt es klare Vorgaben, was und wie delegiert werden darf, um die Qualität zu bewahren und gleichzeitig den Obliegenheitspflichten der Unternehmer zu genügen. Daher wird zu einer guten Dokumentation geraten, um die Delegationswege nachvollziehbar zu machen – besonders wenn Beweiszwänge vorliegen.
Periplasmic Bacterial Expression and Purification of Elastin-like Polymers v2
Authors: Rose Balog Eva
Published: July 2023

This protocol describes the expression and purification procedures used in the Balog lab at the University of New England for producing recombinant elastin-like polymers (ELPs) in E. coli. It has been adapted from protocols used in the laboratory of Jennifer S. Martinez at Los Alamos National Laboratory, where it was originally developed based on the method of Hassouneh, Wafa et al. “Elastin-like polypeptides as a purification tag for recombinant proteins” Current protocols in protein science vol. Chapter 6 (2010): Unit 6.11.
Quantification of synapse polarization ("the conjugate assay") v1
Authors: R Kennedy Philippa
Published: July 2023

NK cells form structured interfaces with tumor cells, known as immune synapses. The forces and receptor-ligand interactions at the immune synapse determine whether the NK cell kills the tumor cell or not. Several mechanistic steps govern the efficiency of this process: adhesion molecules, such as LFA-1, and activating receptors, such as FcγRIIIA/CD16 or NKp30 gather at the point of contact; perforin-containing cytotoxic granules gather around the microtubule organizing center (MTOC); and the MTOC polarizes towards the synapse, where granules are released across the synapse onto the tumor cell. If NK cells are allowed to form synapses with tumor cells in a short term assay (normally 5 min) they can then be fixed and stained for the cytotoxic machinery described above, then scored for individual cytolytic steps to determine the efficiency of the process in the experimental conditions at that early timepoint. This assay can also be used to identify if there is a specific deficit which is leading to inefficient cytotoxicity in the experimental setup.
A tri-specific killer engager (TriKE) against mesothelin targets NK cells towards lung cancer v2
Authors: R Kennedy Philippa
Published: July 2023

A collection of protocols associated with the publication 'A tri-specific killer engager (TriKE) against mesothelin targets NK cells towards lung cancer' by Kennedy et al.
Isolation of natural killer (NK) cells from human blood products v2
Authors: R Kennedy Philippa
Published: July 2023

Standard isolation procedure for peripheral blood mononuclear cells (PBMC) from human blood leukopheresis products.
Adhesion assay v1
Authors: R Kennedy Philippa
Published: July 2023

Adapted from Natural Killer Cell Protocols 2009 p89-96 Enriched effector cells and tumor targets are labelled with different fluorescence. They are allowed to interact over a time-course and samples are taken and fixed at regular intervals. These samples are assessed by flow cytometry for the proportion of firmly adhered NK-tumor conjugates (double positive fluorescent events) at each timepoint.
Mitochondrial staining of NK cells by flow cytometry v1
Authors: R Kennedy Philippa
Published: July 2023

Mitotracker Green (Thermo Fisher Scientific, cat. M7514) stains mitochondrial membranes, so gives a quick measure of mitochondrial mass per cell. However, it is not always as sensitive as quantifying mitochondrial mass by microscopy and staining intensity can be affected by mitochondrial swelling or reactive oxygen species. Mitochondrial membrane potential assay kit (Cell Signaling Technology cat. 13296S) gives a fluorescent indication of the charge across mitochondrial membranes and thus the health of the mitochondria. A membrane charge uncoupler is included in the kit that depolarizes mitochondrial membranes and is thus a useful negative control. MitoSOX Red Mitochondrial Superoxide Indicator (Thermo Fisher Scientific cat. M36008) detects reactive oxygen species within the cell. To see how much reactive oxygen species are generated in the face of oxidative stress, the cells can be pre-incubated with hydrogen peroxide and then stained with MitSOX indicator. TO-PRO-3 (Thermo Fisher Scientific, cat. T3605) is a non-membrane permeable DNA-dye to discriminate live cells. Staining for CD56+ CD3- cells allows analysis of NK cells, not any contaminating cells. These stains are performed on live cells and analyzed without fixation.
The Use of Augmented Reality Technologies and Georeferencing Data for the Construction of Water Supply Systems
Authors:   Voronezh institute of high technologies, Voronezh, Russian Federation, Lvovich Ya. E. , A. P. Preobrazhensky A. P. x ,   Voronezh institute of high technologies, Voronezh, Russian Federation, Preobrazhensky Yu. P. ,   Voronezh institute of high technologies, Voronezh, Russian Federation, Avetisyan T. V. ,   Voronezh institute of high technologies, Voronezh, Russian Federation
Published: July 2023

The use of mobile devices, especially smartphones and mobile technology has increased significantly. Accordingly, various applications have been developed to meet the needs of mobile users, which include navigation. The integration of these applications with maps and various localization technologies such as augmented reality (AR) will improve the reliability of navigation systems for wayfinding under certain constraints. AR allows the user to experience an interactive environment by observing the real world augmented by digital objects. However, this technology cannot store and control data. A geospatial information system (GIS) provides storage, visualization, and analysis of geospatial data that can be used to address the challenges and shortcomings of AR. In addition, the capabilities offered by GIS can be useful for achieving sustainability goals in areas such as effective planning and resource allocation. Traditional GIS, especially two-dimensional maps, provide a weak intuitive experience for users, leading to difficulties in interpreting the map and reaching conclusions. Therefore, AR can be used as a bridge between 2D and 3D visualization. The involvement of GIS in human activities and the transition of AR use from traditional terrain outreach to industrial applications makes it worthwhile to integrate GIS with AR to benefit from the two technologies simultaneously. The simultaneous visualization of real and virtual geospatial information leads to an interactive approach. The paper analyzes the capabilities of augmented reality and geo-referenced data approaches for the construction of water systems, describes their weaknesses and strengths, notes the main characteristics of the logistic regression algorithm and considers the tasks performed by this algorithm. A comparative analysis of the algorithms is carried out.
Security is Local: The Influence of the Immediate Workgroup on Information Security
Authors: Wang Dawei (David) ,   Missouri University of Science and Technology, Durcikova Alexandra ,   University of Oklahoma, Dennis Alan R. ,   Indiana University
Published: July 2023

Information security is a multilevel phenomenon with employee security decisions being influenced
by macrolevel factors (e.g., organizational policies), mesolevel factors (e.g., one’s immediate
workgroup—IW), and microlevel factors (e.g., individual personalities). We argue that an
employee’s local IW (i.e., immediate supervisor and coworkers) has a strong effect on security. This
paper focuses on the effects of these mesolevel factors in the presence of macro- and microlevel
factors. Drawing on the social structure and social learning framework as well as workgroup
research, we hypothesize that the security behavior of an employee’s IW supervisor and coworkers
moderated by the nature of these relationships influences information security decisions. Our
research, based on a sample of 217 full-time employees, reveals that the IW significantly affects
security decisions, over and above the micro- and macrolevel factors. These effects are moderated
by the nature of the relationship between employees and their IW supervisor (leader-member
exchange) and coworkers (team-member exchange). A post hoc analysis shows that the mesolevel
factors alone had the same explanatory power as the micro- and macrolevels combined. Our research
suggests that future theory and research should include the IW and that organizations should share
security responsibilities with line managers and help them understand their substantial impact on
information security. Security training programs should ask employees about the behaviors of their
IW supervisor and coworkers and, where needed, deliver anti-neutralization training to mitigate the
effects of the IW’s noncompliance behaviors.
Sensing the Future: A Design Framework for Context-Aware Predictive Systems
Authors: Avital Michel ,   Copenhagen Business School, Chatterjee Samir ,   Claremont Graduate University, Furtak Szymon ,   Copenhagen Business School
Published: July 2023

Sensors embedded in smart objects, smart machines, and smart buildings produce ever-growing
streams of contextual data that convey information of interest about their operating environment.
Although an increasing number of industries have embraced the utilization of sensors in routine
operations, no clear framework is available to guide designers who aim to leverage contextual data
collected from these sensors to develop predictive systems. In this paper, we applied design science
research methodology to develop and evaluate a general framework that can help designers build
predictive systems utilizing sensor data. Specifically, we developed a framework for designing
context-aware predictive systems (CAPS). We then evaluated the framework through its application
in MAN Diesel & Turbo, which served as a case company. The framework can be generalized into
a class of demand-forecasting problems that rely on sensor-generated contextual data. The CAPS
framework is unique and can help practitioners make better-informed decisions when designing
context-aware predictive systems.
Product Differentiation in IT Industries: The Interplay between M&As and In-House Innovation and Exploitative Innovation Orientation
Authors: Qi Kangkang ,   Raymond J. Harbert College of Business, Auburn University, Han Sumin ,   Raymond J. Harbert College of Business, Auburn University, Jeong Yeasung ,   University at Albany, State University of New York, Rhamati Pouya ,   Deloitte Tax LLP, Susarla Anjana ,   Michigan State University, Sambamurthy Vallabh ,   University of Wisconsin-Madison
Published: July 2023

Firms in IT industries are under constant competitive pressure from incumbent firms and startups to offer
innovative products and services. This study explores the effect of mergers and acquisitions (M&As) on
firms’ product differentiation in IT industries. The unique characteristics of IT industries, namely
hypercompetition, distributed innovation, modularity of products, and the tacit nature of knowledge, make
M&As an attractive mechanism to enable IT firms to stay competitive. Drawing on product differentiation
theory, we hypothesize a positive effect of M&As on product differentiation and suggest that this
relationship is more potent in firms with higher in-house innovation, an exploitative innovation
orientation, and under high levels of industry turbulence. We test our hypotheses using M&A transactions
from 1996 to 2016 and a unique 10-K textual analysis-based measure of product differentiation. Using
the difference-in-differences identification strategy, the following findings are supported: (1) M&As lead
to higher product differentiation, (2) in-house innovation capability and exploitation-oriented innovation
strategy positively moderate the positive effect of M&As. These results, which are robust to endogeneities
and other robustness tests, contribute to theory and managerial practice by shedding light on the role of
M&As as an essential mechanism for product innovation and the complementary role of in-house
innovation capability and strategy for firms that intend to take advantage of M&As for creating a
competitive edge through differentiating their products and services from competitors. These findings
have important managerial value, providing an alternative narrative to the current view on M&As in IT
industries as a means of absorbing and dismantling the competition.
The morphostratigraphic imprint of the Baltic Ice Lake drainage event in southern Finland
Authors:   Geology Research Group, Oulu Mining School, University of Oulu, Finland, Lunkka Juha Pekka
Published: July 2023

Digital elevation models, based on laser scanning imageries (LiDAR-DEM) and aided by ground penetrating radar (GPR) data, were used to study glaciofluvial Gilbert-type ice-contact deltas in the Younger Dryas Salpausselkä end-moraine zone in southern Finland. The geomorphological data analysed were used to reconstruct the water-level drop of the late glacial Baltic Ice Lake to the early Holocene Yoldia Sea and tie these changes to a wider stratigraphic context. The results indicate that the sudden drainage event at around 11 650 cal. yrs BP left its imprint not only on the varved sediments but also on ice-contact glaciofluvial deltas in the Second Salpausselkä zone throughout southern Finland. This morphostratigraphic boundary can be placed at locations where the ice-contact deltas occur at two different levels; the higher-level deltas formed during the Baltic Ice Lake B III water-level stage and the lower-level deltas during the Yoldia Sea Y I water-level stage. This morphostratigraphically defined boundary in southern Finland marks the Pleistocene/Holocene chronostratigraphic boundary in southern Finland and shows the corresponding positions of the Scandinavian Ice Sheet’s Finnish Lake District Ice Lobe and the Baltic Sea Ice Lobe.
Post-stroke epileptic seizures: risk factors, clinical presentation, principles of diagnosis and treatment
Authors: Al-Sahli O. A.M. , Tibekina L. М. , Subbotina O. P. , Flud V. V.
Published: July 2023

Post-stroke developing epileptic seizures represent a severe complication aggravating post-stroke condition. Epilepsy can exacerbate cognitive, psychopathological, somatic disorders resulting from cerebrovascular and comorbid diseases. Despite that post-stroke epilepsy (PSE) is a rather common type of acquired structural epilepsy, the issues related to diagnosis and management often raise difficulties for clinicians. Patients with severe strokes affecting brain, cortex, acute symptomatic seizures and intracerebral hemorrhage are at greater risk of developing PSE. Timely neurophysiological, neuroradiological research methods, assessed blood biomarkers as well as prognostic models provide information that complements PSE clinical risk factors. The management of post-stroke acute and long-term (late) symptomatic seizures differs markedly. At the same time, the choice of an optimal anticonvulsant drug should be based not only on its effectiveness, but also on related side effects, pharmacodynamics as well as an impact on concomitant diseases. Drug interactions, especially between anticonvulsants and anticoagulants or antiplatelet agents also affect a choice of treatment, which should be taken into consideration for management of PSE patients.
Overview of mathematical EEG analysis. Quantitative EEG
Authors: Ivanov А. А.
Published: July 2023

The purpose of this article is to familiarize medical specialists involved in registration and analysis of electroencephalographic (EEG) studies using methods of mathematical processing and analysis for recorded EEG data. Understanding the principles of how quantitative EEG analysis tools work should help medical personnel to properly use their capabilities and ultimately improve quality of medical care. Here, we discuss basic and innovative mathematical tools for EEG processing and analysis.
MBA: Market Basket Analysis Using Frequent Pattern Mining Techniques
Authors: Fageeri Sallam Osman , Kausar Mohammad Abu , Soosaimanickam Arockiasamy
Published: July 2023

This Market Basket Analysis (MBA) is a data mining technique that uses frequent pattern mining algorithms to discover patterns of co-occurrence among items that are frequently purchased together. It is commonly used in retail and e-commerce businesses to generate association rules that describe the relationships between different items, and to make recommendations to customers based on their previous purchases. MBA is a powerful tool for identifying patterns of co-occurrence and generating insights that can improve sales and marketing strategies. Although a numerous works has been carried out to handle the computational cost for discovering the frequent itemsets, but it still needs more exploration and developments. In this paper, we introduce an efficient Bitwise-Based data structure technique for mining frequent pattern in large-scale databases. The algorithm scans the original database once, using the Bitwise-Based data representations as well as vertical database layout, compared to the well-known Apriori and FP-Growth algorithm. Bitwise-Based technique enhance the problems of multiple passes over the original database, hence, minimizes the execution time. Extensive experiments have been carried out to validate our technique, which outperform Apriori, Éclat, FP-growth, and H-mine in terms of execution time for Market Basket Analysis.
Application and Analysis of Machine Learning Algorithms on Pima and Early Diabetes Datasets for Diabetes Prediction
Authors: H N Lakshmi , Vathsala Atluri Vani , Upadhyay Bhavik K , Rao A Narasimha
Published: July 2023

Diabetes is a chronic condition that strike how your body burns food for energy. Much of the food you consume is converted by your body into sugar (glucose), which is then released into your bloodstream. Your pancreas releases insulin when your blood sugar levels rise. Over the years, several scholars have sought to create reliable diabetes prediction models. Due to a lack of adequate data sets and prediction techniques, this discipline still faces many unsolved research issues, which forces researchers to apply big data analytics and ML-based methodology. Four distinct machine learning algorithms are used in the study to analyze healthcare prediction analytics and solve the issues. In this investigation, the Pima and Early detection datasets were employed. We applied the Decision Tree, MLP, Naive Bayes, and Random Forest algorithms to these datasets and evaluated the accuracy and F-Measure. The goal of this research is to develop a system that could more precisely predict a patient's risk of developing diabetes.
New Measure Routing Algorithm for PEGASIS Wireless Sensor Network
Authors: Yadav Santosh Kumar , Gangwar Sanjeev
Published: July 2023

The sensor node spends the maximum energy in data transmission for maintaining this issue we proposed a new routing protocol for sensor nodes in WSN. A sensor network is organized into many sets and all sets collect the data with minimum edge weight in a parallel way so doing this all sets create a minimum edge weight chain. Further, the sets make a head node that is near the base station. All sets have a unique chain in this round after that all set again to select a head node on the basis of high residual energy, less mobility, and minimum distance to the base station that the head node sends the data to the base station. Further, our proposed routing algorithms save energy. We simulated the proposed model in MATLAB all simulation result is better than both routing algorithms.
A Novel Approach for Mining Big Data Using Multi-Model Fusion Mechanism (MMFM)
Authors: Ramprasad R. , Jayakumari C.
Published: July 2023

Big data processing and analytics require sophisticated systems and cutting-edge methodologies to extract useful data from the available data. Extracted data visualization is challenging because of the processing models' dependence on semantics and classification. To categorize and improve information-based semantics that have accumulated over time, this paper introduces the Multi-model fusion mechanism for data mining (MMFM) approach. Information dependencies are organized based on the links between the data model based on attribute values. This method divides the attributes under consideration based on processing time to handle complicated data in controlled amount of time. The proposed MMFM’s performance is assessed with real-time weather prediction dataset where the data is acquired from sensor (observed) and image data. MMFM is used to conduct semantic analytics and similarity-based classification on this collection. The processing time based on records and samples are investigated for the various data sizes, instances, and entries. It is found that the proposed MMFM gets 70 seconds of processing time for 2GB data and 0.99 seconds while handling 5000 records for various classification instances.
Features of the profile of drug resistance to first-line and second-line anti-tuberculosis drugs in patients with human immunodeficiency virus infection
Authors: Bulycheva Ekaterina V. , Bulychev Vyacheslav V. , Velichko Elena N. , Pashkova Nataya A.
Published: July 2023

BACKGROUND: Drug resistance to anti-tuberculosis drugs directly affects the disease course. However, a high percentage of multidrug resistance in patients with HIV infection not only worsens the disease course but also forces the development of new strategies for managing such patients.
AIMS: To characterize drug resistance to anti-tuberculosis drugs in patients with HIV infection.
MATERIALS AND METHODS: The study recruited patients with newly diagnosed tuberculosis by molecular genetic research methods and bacterial research methods in the Orenburg Regional Clinical Tuberculosis Dispensary.
RESULTS: For 20182022, the proportion of people with HIV infection who are resistant to isoniazid by 14.6%, rifampicin by 28.85%, moxifloxacin by 717.39%, and amikacin by 104.25% has increased. The reduction in the choice of drugs and possibility of effective anti-tuberculosis therapy in people with HIV infection are also complicated by the detection of a multidrug-resistant culture in 20.34% of the examined patients and multidrug resistance in 39.6%. In over 5 years, the percentage of gene mutations of mycobacteria responsible for resistance to anti-tuberculosis drugs has increased.
CONCLUSIONS: The results of this study indicate the need to search for new solutions and prevent resistance to existing anti-tuberculosis drugs and for the development of new drugs effective for use as first- and second-line drugs.
Oral mucocele a case report
Authors: SHAH Shreyas , RAVİRAJ SHETTY Rahul
Published: July 2023

Mucocele is a commonly occurring pathology in the oral cavity and especially found on labial mucosa. It is commonly seen in the younger population peaking in the 10–20-year age group. In most cases the patient will give a positive history of recent trauma caused due to lip biting. The clinical picture will be of a soft, clear swelling with a bluish color. The size can vary from a few mm to few centimeters at times. A diagnosis can be reached many times just on the basis of a proper history and the clinical features alone. This report depicts the successful management of a case of mucocele which in turn would assist the dental practitioner for diagnosing and managing this condition.
The relationship between ghrelin and ghrelin leu72met polymorphism in coronary artery disease
Authors: YILDIRIM YAROĞLU Hatice , ÖZKAN Buğra , BALCI Senay , ÜNAL Zeynep Nil , ERDEN ERTÜRK Sema , DİLEK	ÇİÇEK Dilek	çiçek , TAMER Lülüfer
Published: July 2023

Purpose: Ghrelin represents a hormone, which is defined as an endogenous ligand bound to the growth hormone-releasing hormone receptor (GHS-R1a). However, the mechanisms that underlie ghrelin’s impacts on cardiovascular diseases have not been completely detected. For this reason, we aimed to research the relationship between serum ghrelin and ghrelin gene polymorphism in coronary artery disease (CAD).

Materials and Methods: The study group consisted of 88 patients diagnosed with a minimum of one coronary artery stenosis over 70%, and the control group comprised 81 individuals without coronary artery lesions. An autoanalyzer was used to analyze fasting blood glucose (FBG) and lipid parameter levels. Ghrelin levels were examined with an enzyme-linked immunosorbent assay (ELISA) kit.

Results: Ghrelin levels were found to be 2.2 ng/ml in the control group and 2.1 ng/ml in the CAD group. No statistical relation in ghrelin Leu72Met genotypes were detected between the control and patient groups.

Conclusion: Serum ghrelin levels were higher in the control group than in the CAD group. Whether ghrelin levels and Leu72Met polymorphism have protective effects in CAD must be revealed in an extensive study group with other polymorphisms and ghrelin expression in the ghrelin gene.
Gene expressions and mutation analysis in schizophrenia
Authors: KALEMCİ Serdar , BOZDAĞ BAŞKAYA Huriye Gülistan , ZEYBEK Arife
Published: July 2023

Dear Editor;

We read with interest the article titled “CYB mtDNA mutations and the expression status of genes in the PI3K/AKT/mTOR signaling pathway in patients with schizophrenia” published in Cukurova Medical Journal by Dirican et al.
A K-nearest neighbors-based classification approach for automated detection of knee osteoarthritis
Authors: CENGİZLER Çağlar , KABAKCI Ayşe Gül
Published: July 2023

Purpose: Osteoarthritis is a serious condition that can significantly reduce a person’s quality of life, causing pain and stiffness in the knees and limiting their mobility. The condition progressively worsens over time, emphasizing the importance of early diagnosis. This study implemented a computer-aided classification approach to reduce the time and effort required for diagnosing knee osteoarthritis while minimizing human errors. Materials and Methods: Data analyzed in this study was obtained from the Osteoarthritis Initiative. A total of 165 samples were used in the study. All abnormal samples were graded as severe osteoarthritis. While 78 samples were used to test the implemented algorithm, the training process of the algorithm was completed with 87 samples. The proposed approach involves three main stages: segmenting the cartilage region through a series of image-processing operations, extracting morphological features from the defined region, and classifying samples based on these features. In the classification stage, morphological features characterizing the cartilage region were classified in the observation space, and the k-nearest neighbors algorithm was applied for automated discrimination. Accordingly, the computer utilizes the previously classified sample features to estimate the presence of pathology. Results: Test classifications were completed with 78 samples; 28 were previously diagnosed with osteoarthritis. Morphological measures of the training samples were accepted as a reference for abnormality. The applied classification scheme can distinguish severed cartilage regions with a 0.95% accuracy. Conclusion: This study demonstrates the potential effectiveness of a computer-aided approach in diagnosing knee osteoarthritis with high accuracy. The developed approach offers a promising solution for early and efficient diagnosis, enabling more timely and effective treatment strategies for osteoarthritis patients. The progressive nature of the disease makes these advancements in diagnostic methods invaluable. Future studies may focus on expanding the sample size and further refining the model for enhanced precision and broad applicability in clinical settings.
Association of sleep quality with nutritional status and body mass index in adults
Authors: İÇER Mehmet Arif , GEZMEN KARADAĞ Makbule
Published: July 2023

Purpose: Identifying the factors that affect sleep quality will help minimize potential health risks. This study aimed to evaluate the association of sleep quality with dietary habits, nutritional status and body mass index (BMI) in adults.

Materials and Methods: This study was conducted on 576 healthy individuals, 293 males and 283 females, aged between 18-65 years. The study did not include individuals with chronic diseases, pregnant and lactating women. The participants' descriptive information, dietary habits, and some anthropometric measurements were questioned. Additionally, Pittsburgh Sleep Quality Index (PSQI) was applied to the participants and 24-hour dietary recalls were recorded.

Results: In both male and total participants, the rate of good sleep quality of those with a BMI between 18.50-24.99 kg/m2 was lower than those with a BMI ≥25 kg/m2. The number of cigarette smoked in a day and the total PSQI score of the male and total participants were positively correlated. Additionally, there was a positive correlation between the percentage of saturated fatty acids in the diet and the total PSQI scores in female and total participants, while a negative relationship was found between dietary niacin (mg) and copper (mg) intakes and total PSQI scores in female.

Conclusion: The results of the study indicate that there is a relationship between sleep quality and nutritional status, and BMI. It can be concluded that some lifestyle modifications such as smoking cessation/reduction and the acquisition of healthy eating habits can be used to improve sleep quality.
Association of Kruppel-like factor 2 polymorphisms with the risk of coronary artery disease
Authors: DEĞİRMENCİ Ulaş , YILDIRIM Metin , AKKAPULU Merih , YALIN Ali , DİLEK	ÇİÇEK Dilek	çiçek , ÖZTORNACI Ragıp Onur , TAŞDELEN Bahar , YALIN Serap
Published: July 2023

Purpose: Coronary artery disease is defined as complications that develop in proportion to the prevalence of ischemia due to occlusion of the coronary arteries and the resulting cell death. The development of atherosclerosis is significantly influenced by endothelial cell dysfunction. Kruppel-like factor 2, a transcription factor, has been shown to regulate critical biological events in endothelial biology, such as vascular tone, migration, proliferation, vasoreactivity, and angiogenesis. In our study, it was aimed to clarify the relationship between coronary artery disease and Kruppel-like factor 2 protein levels and C1239A polymorphisms.

Materials and Methods: 191 individuals who underwent coronary angiography at Mersin University Faculty of Medicine, Department of Cardiology, Health, Research and Application Center were included in the study. Measurements of serum fasting blood glucose, HDL cholesterol, total cholesterol, and triglyceride levels were performed on the AU5800 (Beckman Coulter, United States) autoanalyzer. Serum LDL levels were calculated using the Friedwald equation. Serum Kruppel-like factor 2 protein levels were measured by sandwich enzyme-linked immunoassay method on the Multiskan GO (Thermo Scientific, Finland) device. Kruppel-like factor 2 C1239A variations were detected on the Applied Biosystem VIIA™ 7 Real-Time PCR (Life Technologies Co., United States) device by TaqMan® single nucleotide polymorphism (SNP) genotyping method.

Results: Men had a 3.8-fold higher risk of CAD than women. (Odd’s ratio 3.83, 95% Confidence interval 1.98-7.39; p
Edmodo as a 21st Century Learning Tool to Enhance 4C Skills of Malay Language Management Undergraduates
Authors:   School of Education, Universiti Utara Malaysia, 06010, Kedah, Malaysia, Zain Farah Mohamad , Osman Zamimah , Kasim Marini , Ismail Nur Hafizah , Rahman Faizahani Ab
Published: July 2023

This study aimed to identify the level of 4C under the 21st century learning skills and to determine the impact of Edmodo’s application in enhancing 4C skills. A total of 15 Malay Language Management undergraduate students were selected as respondents for the study, along with the course lecturer and three peer reviews (among lecturers) were also involved in the study. Using qualitative approach, this study employed scholarship of teaching and learning (SoTL) research design during lessons in the 14-week semester. As reflection is the main element of SoTL, a thematic analysis was used to analyze data from the students, course lecturer and peer reviews reflections together with focus group interview. The preliminary findings illustrated that the level of 4C skills among undergraduate students are very weak. However, with intervention implemented by the course lecturer through Edmodo, students have managed to improve their level of 4C skills. From the reflections that reflect positive impact towards the usage of Edmodo, it was found that students were able to boost self-confidence, deliver relevant opinions, generate new ideas upon thinking critically and actively participate in the discussion. This study clearly indicates that the Edmodo is an effective alternative tool for educators to enhance 4C skills among students.
Studying the Factors that Influence the Adoption of Educational Technology in Mogadishu Secondary Schools Using UTAUT Model
Authors:   SIMAD University, Somalia, Mohamed Mohamed Jama , Hassan Salah Ali
Published: July 2023

This study employed the Unified Theory of Acceptance and Use of Technology (UTAUT) to pinpoint the factors that influence how educational technology is used in secondary schools in Mogadishu. Participating in the study were 235 principals and instructors. The participants were chosen through random sampling. The study’s findings demonstrated that four hypotheses—performance expectance (PE), effort expectance (EE), social influence (SI), and facilitating conditions (FC)—progressively affect behavioral intention (BI), which serves as the mediating factor for our independent variables, and consequently there is a positive correlation between behavioral intention and behavioral use (BU) of technology in education. The p-value of each hypothesis is < 0.05, indicating that the null hypotheses were disproved—the lack of ICT infrastructure forces Mogadishu secondary students to continue learning in the conventional manner. Researchers recommended the importance of addressing the challenges of inadequate funding for both public and private schools and suggested conducting further study. The output that can be expected from this study is to change the current situation.
Developing an Organizational e-Learning Usage Model: A Qualitative Study on the Case of Lebanon
Authors:   the ESA Superior School of Business, Lebanon, Horr May El , Lemoine Jean-François
Published: July 2023

The study aims to investigate the factors that impact e-learning adoption among employees in Lebanese corporations. While prior research has mainly focused on developed countries, this study aims to fill the gap in understanding e-learning adoption in the context of Lebanon. A qualitative exploratory study was carried out with 12 employees and managers from four organizations using e-learning solutions. The study identified several key factors that influence positive attitudes towards e-learning, including management support, recognition, access to resources, and more. A model based on the Technology Acceptance Model 3 was then proposed to better understand e-learning usage within Lebanese corporations and provide guidance on improving e-learning adoption rates. To enhance e-learning adoption among employees, it is recommended that Lebanese corporations prioritize management support and recognition, establish regular monitoring practices, improve communication, provide relevant and quality content, implement user-friendly and interactive platforms, incorporate gamification elements and recognition tools, reduce barriers, and emphasize the personal and professional benefits of e-learning. It is important for corporations to continuously monitor and adapt their e-learning strategies to fit the subjective norms and social environment of their employees. This study offers valuable insights and practical guidance for corporations looking to implement e-learning solutions and improve adoption rates among their employees. It serves as a reference for future research on e-learning adoption in Lebanon and highlights the need to understand the factors that influence e-learning adoption to improve the success of e-learning programs and enhance organizational performance and employee development.
Self-assessed Online Listening Tests as an OER: The Senior English Educators’ Perspectives Based on UTAUT Model
Authors:   the Academy of Language Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Penang, Malaysia, Mah Boon Yih , Han Feifei
Published: July 2023

With the advent of e-learning, in which instruction is done remotely and on digital platforms, education has experienced a profound upheaval as the sole means of ensuring the continuation of academic activities due to the disruption caused by the COVID-19 outbreak. This crisis appears to have created a perfect environment for creating freely available, publicly licenced course materials known as open educational resources, or OER. Boon Yih Mah initiated the self-assessed online listening tests (SAOLT) as one of the OER to provide English as a second language (ESL) learners with a platform with relevant and supporting content to practise their listening skills in a test format. Therefore, the main objective of this study is to measure the perceptions of senior English teachers from different education sectors about the usefulness, ease of use, attitude toward use, and behavioural intention to use SAOLT in their teaching of listening skills. A survey was conducted using a purposive sampling method comprising ten English educators from different types of institutions with 16–40 years of teaching experience. The items in the questionnaire were adapted based on the Unified Theory of Acceptance and Use of Technology or UTAUT to suit the study’s objectives using five Likert scales for measuring the perceptions. Based on the findings after performing the descriptive data analysis, this survey has shown positive responses among the senior English teachers from different education sectors about their perceptions of the usefulness, ease of use, attitude toward use, and behavioural intention to use SAOLT in their teaching, particularly for listening skills.
"Ignorance" in ethnic culture – the philosophy of Al-Farabi
Authors: Rushanova Nelya , Syrgakbaeva Akmaral , Kulshanova Arman , Akhmetova Elmira , Mukhamejanova Ainagul
Published: July 2023

This article provides a brief overview of al-Farabi's contribution to science. Abu Nasr al-Farabi was the greatest philosopher and scientist of his time. Initially, he completed his studies in Farabi and Bukhara. Later, he went to Baghdad, where he studied and worked for a long time. During this time, al-Farabi mastered several languages and various branches of knowledge and technology. The article identifies specific problems of ignorance in the ethical philosophy of al-Farabi, the founder of the actual political and ethical philosophy, especially Farabi's synthesis of ancient and Muslim traditions. The paper reveals the place of the Platonic political concepts. We introduce the influence of Farabi's ideas on the further development of ethical thought in Islam. In addition, the article indicates the thoughts and treatises where al-Farabi implacably and harshly criticized ignorant, weak and lazy managers, unworthy to lead even small communities. In his works, he gives the characteristic features of a "rule".
The "Consent " in the cultural and civilizational development of Kazakhstan (socio-philosophical analysis)
Authors: Yerzhanova Aidana , Nurmuratov Serik , Kurmangalieva Galiya , Zhanabayeva Dinara , Madalieva Zhanyl
Published: July 2023

The article provides a socio-philosophical analysis of approaches to defining the essence and content of the concept of consent as an idea, problem and principle. It applies a phenomenological methodology that allows us to record the phenomenon of consent and how it takes place. The concept of harmony in Kazakhstan's cultural and civilizational development is an important aspect in overcoming economic, socio-cultural and political crises, gaining socio-political and economic stability by the state. Only a public system based on the consent of citizens can effectively use the opportunities, resources and mechanisms for further development and qualitative transformation of all spheres of public life. Achieving social harmony is necessary since the main goal of social modernization is to enter the orbit of sustainable development. A multi-ethnic and multi-religious Kazakhstan can achieve this goal only by gaining civil peace and democratic consensus. Therefore, efforts should be made to organize and implement a discourse on a wide range of socially significant topics to achieve constructive social agreement.
Re-examining Vietnamese family values: an exploration of Vuong Duong Minh's (Wang Yangming) educational philosophy of children
Authors: Hong Nguyen Phuong Thi , Duy Do Tu
Published: July 2023

Education is a vital component of a prosperous future for all individuals and is influenced by the three main environments of family, school, and society. Family education plays a crucial role in shaping and developing each individual's personality. In this regard, the educational philosophy of Vuong Duong Minh, a renowned Chinese thinker from the Ming-Qing dynasties, offers valuable insights into children's education, which remain relevant today. This paper employs a logical and historical approach to analyze and apply Vuong Duong Minh's ideas to contemporary Vietnamese family education. By exploring the meanings and philosophy of children in Vietnamese families, this article contributes to the ongoing efforts to enhance families' development and perfect individuals' personalities in the modern era.
Внедрение инклюзивного обучения в современную систему образования
Authors: Тимофеев Д.О., , Абзалова С.В.
Published: July 2023

Введение инклюзивного образования в России - одна из самых обсуждаемых и противоречивых тем в современном обществе. Общество осознало необходимость и пришло к пониманию включения людей с ограниченными возможностями в различные сферы жизни, важнейшей из которых представляется образование. Образование является важнейшим средством самореализации в обществе, с помощью которого существует и развивается человеческое общество.