bluuebunny/crossref_metadata_2025 huggingface dataset:
Folklore-Based Virtual Reality as a Teaching Media in the Secondary School Viewed From its Implication and Multimodal Aspects
Authors: Herdiawan Rama Dwika , Afrianto Afrianto , Nurhidayat Eka , Nurhidayah Yayah , Rofi'i Agus
Published: August 2023

This research article explores folklore-based virtual reality (VR) as a teaching medium in secondary schools, examining its effectiveness and impact on students' learning experiences. Taking advantage of virtual reality (VR) in education has several benefits, including enhancing students' learning experiences, facilitating more effective comprehension of concepts, and preparing students for the demands of an ever-evolving digital society. Drawing upon the multimodal discourse analysis framework, the study investigates how combining virtual reality technology and folklore narratives can enhance students' engagement, understanding, and retention of educational content. The findings highlight the potential of folklore-based VR as a powerful tool for immersive and interactive learning while shedding light on the multimodal aspects of the discourse generated through this medium. Educators can enhance the learning experience and foster a deeper understanding of cultural heritage and identity by integrating folklore-based virtual reality as a teaching medium. Moreover, Folklore-based virtual reality can encourage critical thinking skills as students navigate through complex narratives, make decisions, and solve problems within the virtual environment. Furthermore, exposure to diverse folklore stories and characters can promote empathy and understanding of different cultures, fostering a more inclusive and tolerant society. Integrating virtual reality (VR) technology into English education and literary resources presents promising prospects for students to actively interact with books through novel approaches, augmenting their understanding, language proficiency, and general admiration for literature. The research contributes to the growing field of educational technology by demonstrating the benefits of folklore-based VR as a pedagogical approach in secondary education.
Dynamic material properties of Grade 50 steel : effects of high strain rates on ASTM A992 and A572 Grade 50 steels
Authors: Murray Matthew , Thornton Trace , Rowell Stephen , Grey Clifford
Published: August 2023

Uniaxial tensile tests were conducted on American Society for Testing Materials International (ASTM) A992 and A572 Grade 50 steels at increasing strain rates to determine the material strength properties of structural members subjected to dynamic loadings. The increase in dynamic yield strength and ultimate tensile strength was determined to update design criteria within UFC 3-340-02, which are currently limited to ASTM A36 and A514 steels. The proposed updates will provide the necessary information required to design blast-resistant structures utilizing modern-day structural steels. The dynamic material properties determined by high-rate tensile tests were compared to static values obtained from ASTM E8 standard tensile tests. The comparisons were used to calculate dynamic increase factors (DIFs) for each steel at strain rates from 2E-3 to 2E0 inch/inch/second. The experiments revealed that the A992 steel exhibited an increase in yield strength up to 45% and ultimate tensile strength up to 20% as strain rate increased over the range tested. The A572-50 steel exhibited a similar increase in yield strength up to 35% and ultimate tensile strength up to 20%. The DIF design curves developed during this research will allow engineers to more efficiently design structural steel components of hardened structures for the protection of our nation’s critical infrastructure.
Roles of Awareness and Knowledge in Determining People’s Perception Towards Takaful: Evidence from Southwestern Afghanistan
Authors: Abdullah Ziarmal , Shams Shamsullah , Ashurov Sharofiddin
Published: August 2023

The main purpose of this study is to investigate the impact of awareness and knowledge in determining people’s perceptions towards takaful services in Afghanistan's southwestern zone, with a particular focus on the provinces of Kandahar, Helmand, and Zabul. This study aims to shed light on the elements impacting people's perceptions of takaful by assessing their awareness and understanding levels of takaful in the specified geographic and socioeconomic environment. To achieve the study objective, an expert research methodology is adopted. It includes survey-based inquiries conducted using a carefully chosen heterogeneous purposive sampling (HPS) technique. The data collected is subjected to rigorous analysis, including reliability testing, multiple regression, and Pearson correlation analysis. The robust analysis is facilitated by the utilization of SPSS version 26:00 software. The results state that the role of awareness and knowledge is established as statistically significant and has a positive impact on shaping individuals' perceptions towards takaful services within the southwestern zone of Afghanistan. To enhance the breadth of future research, it is recommended that similar investigations be extended to other provinces, fostering a more comprehensive understanding. As an avenue for future exploration, subsequent studies could delve into additional determinants of individuals' perceptions that may have been unaddressed in this research. The insights garnered from this study possess significant implications for policymakers seeking to facilitate the establishment of the takaful industry, with a particular emphasis on aligning regulatory measures with Sharia law and focusing on the salient determinants that influence individuals' perceptions.
Techno-Economic Analysis to Project Hydrogen Pathways Potential Across the United States
Authors: Saafi M A. , Gordillo V.
Published: August 2023

Since signing the legally binding Paris agreement, fighting climate change has been an increasingly important task worldwide. The United Sates (U.S.), being highly industrialized, recognizes to be one of the largest greenhouse gas global emitters and has set a long-term strategy to reach Net-Zero Emissions by 2050. One of the key emerging potential decarbonization pathways is hydrogen (H2), which could be considered as a long-duration energy storage (LDES) option for an electric grid dominated by renewable energy generation. In this work, we conduct a techno-economic analysis to determine least cost solutions for H2 production, considering different scenarios for wind and photovoltaic-sourced renewable electricity supply under a set of given operational constraints. The model used is a mixed integer linear program that minimizes the plant's net present cost (NPC) over a defined project lifetime. We quantify the impact of intermittency by comparing the operational performance of different regions in the U.S. reflected on levelized H2 production costs and required built storage. The renewable electricity production is modeled using 10 years of historical meteorological data for each region on an hourly basis. Moreover, we evaluate the complementarity of solar and wind electricity, the effect of dynamic storage sizing, and the economic dispatch of renewable energy curtailment.
PASSIVE FIT OF CAD\CAM FRAMEWORKS DESIGNED BASED ON VIRTUAL IMPLANT POSITIONS VERSUS ACTUAL IMPLANT POSITIONS: A PILOT INVITRO STUDY
Authors: Kamel Mohamed El-Sayed , ElKhashab Mohamed Amr , Radi Iman Abdelwahab
Published: August 2023

Aim: To evaluate the passive fit of CAD/CAM implant supported frameworks that are constructed before and after implant placement.
Methodology: A sample of 5 Kennedy class I models that loaded with 10 models bilaterally. In the first group, 3 implants were installed using full guided protocol and loaded with 3 units screw retained metal framework that constructed before implant placement based on virtual implant positions in aid of full digital work flow. While the second group was the control group, in which 3 implant were installed and loaded with 3 units screw retained metal frameworks constructed after implant installation based on their implant positions. The frameworks were screwed to multi-unit abutments seven tests were carried out to assess passive fit of the frameworks. These tests were visual, tactile test using examination probe, floss slippage, one screw test , screw resistance test and fit checker. Radiographs were done in conjunction with these tests to assess presence of gaps at abutment –framework interface.
Reconstitution kinetics of severe cerebrospinal fluid abnormalities in cryptococcal meningitis
Authors: Dambietz Christine , Heming Michael , Brix Tobias Johannes , Schulte-Mecklenbeck Andreas , Tepasse Phil-Robin , Gross Catharina C. , Trebicka Jonel , Wiendl Heinz , zu Hörste Gerd Meyer
Published: August 2023

Cryptococcal meningitis (CC) is a rare and severe fungal infection in immunocompromised patients, affecting the cerebrospinal fluid (CSF). Host response and immunological mechanisms after CSF invasion of Cryptococcus neoformans have rarely been investigated in detail before. We retrospectively collected standard CSF analysis and flow cytometry data of CSF and blood in patients with cryptococcal meningitis (n=7) and compared them to immunocompromised patients without meningitis (n=13) and healthy controls (n=7). Flow cytometry analysis revealed an elevation of natural killer cells in the CSF of CC patients. Follow-up CSF analysis over up to 150 days showed heterogeneous and slow normalization of CSF after induction of antifungal therapy. Flow cytometry of blood and CSF may thus aid the diagnosis and follow-up of CC patients.
Testing a mixed method learning evaluation approach for real-time assessments of the implementation process
Authors: Hudson Kristian , Shaw Philippa , Osborn David , Lamb Danielle , Rehill Nirandeep , Russell Gregor , Stevenson Fiona , Kearney Matt , Beveridge Edward , Copsey Gemma , Oliver Emily , Sharma Vishal , Balasubramanian Bijal , Khurshid Zuneera
Published: August 2023

Background: Stakeholders involved in implementation efforts progress through multiple cycles of learning and problem solving, to which traditional evaluation approaches for implementation of healthcare innovations often fail to pay attention. Learning evaluation principles provide an alternative evaluation approach to capture and feedback ongoing learning in an iterative and informative way. This paper outlines a novel evaluation approach aligned with learning evaluation principles which will be tested in an implementation study examining an intervention designed to improve mental and physical health in people with severe mental illness (UCLPartners-Primrose).
Methods: This evaluation outlines five key steps: (1) Conduct baseline data collection to understand the implementation context; (2) Identify process and outcome measures of interest to each implementation site; (3) Collect and analyse qualitative and quantitative data on contextual factors in real-time via regular contact interviews; (4) Feedback synthesised data and learning to sites on an ongoing basis via lightning reports; (5) Generate learning from process, action, and outcome data, lightning reports, and post intervention interviews. This protocol draws from learning evaluation principles and the steps will be achieved using the Stanford lightning reports and the Consolidated Framework for Implementation Research. The application of this approach will be tested over 18 months through the implementation evaluation of an intervention, UCLPartners-Primrose.
Discussion: This protocol describes a flexible, iterative, and contextualised learning evaluation approach, which is expected to capture within-system learning through rapid analysis and feedback loops, amenable to the needs of implementation sites. This approach will enable the triangulation of the implementation experiences of the end users with the knowledge of implementation researchers, to build a more holistic picture of implementation barriers and enablers to bridge the gap between real-time data collection and its transformation into actions.
Conclusion: This is an innovative implementation evaluation approach developed to be more rapid, relevant, and responsive than traditional methods and encourages greater researcher-implementer collaboration. It therefore holds benefits for implementers and research teams involved in implementation efforts.
Elicitors in the production of tomato crop infected with Tomato brown rugose fruit virus and Pepino mosaic virus
Authors: Ortiz-Martínez Luis Enrique , Ochoa-Martínez Daniel Leobardo , Gutiérrez Jorge
Published: August 2023

Elicitors are considered sustainable alternatives for the management of plant viruses. The aim of the present study was to evaluate the effectiveness of nine elicitors on morphology, yield, and fruit quality of tomato plants inoculated with Tomato brown rugose fruit virus (ToBRFV), Pepino mosaic virus (PepMV), and both (ToBRFV + PepMV). The experiment was set up under a completely randomized design with six replicates. Ten days after transplanting, virus inoculation was done mechanically in all the treatments, except the negative controls. Three morphological, four yield, and seven fruit quality variables were evaluated. Virablock® 3G50 increased yield by more than 44% compared with the positive control in plants inoculated with ToBRFV, PepMV, and the mixed infection, while Supermagro cell extract and enhanced Supermagro increased yield in plants inoculated with ToBRFV and the mixed infection by more than 82% and 34%, respectively. Virablock® 3G50 and an ethanolic extract of Arracacia bracteata showed the highest values in fruit quality variables.
Identification of a novel mutation and a rare case of CLN6 and computation protein structure
Authors: Saboori Fozhan , Nejad Nazanin Ghaderi
Published: August 2023

Neuronal ceroid lipofuscinoses (NCLs) also known as Batten disease jointly account the highest incidences of hereditary neurodegenerative disease in childhood. This disease is mostly presented by vision loss, ataxia, premature mortality in later stages of disease and epileptic seizures. NCLs are categorized in different type that is relied on deficiencies in several genes. CLN6 is one of the identified NCLs and mutated gene affects a transmembrane protein embedded in the Endoplasmic Reticulum (RM). Here we report four cases presenting clinical feature of CLN6. Two novel mutations NM_017882.2: Exon 7: c.268A > G (p.Asn90Asp) as well as two homozygous mutations in NM_017882.2: Exon 3: c.679G < A. Additionally, following the finding of novel mutation, sanger sequencing method was employed to confirmed the outcome. Also, we performed a 3D structure prediction for CLN6 protein. InterPro was taken advantage to assess the domains and function in mutated sites. Both mutations are located in extracellular domain of CLN6 protein. In silico analysis demonstrated the pathogenic impact of these mutations, suggesting that the identified mutations are likely responsible for the observed phenotypic features in the patients.
Sequential colonization events with restricted gene flow in a widespread European carnation species
Authors: Cornille Amandine , Kaczmarek Thomas , Chen Xilong , Fior Simone , Venon Anthony , Roman Anamaria , Ursu Tudor-Mihai , Giraud Tatiana , Mezhenskyj Volodymyr , Koupilova Klara , Hood Michael , Widmer Alex
Published: August 2023

The key questions relating to the evolutionary processes underlying plant colonization success pertain to the geographic origin of the source population(s), the location of the migration routes, the extent to which genetic diversity is reduced via founder effects, and the extent of gene flow among populations during expansion. However, these questions must still be addressed for perennial herbaceous plants with large geographic distributions. We investigated the colonization history of Dianthus carthusianorum (the Carthusian Pink), one of the most widespread European carnation species. We called genome-wide 236,964 SNPs from a large sample across the D. carthusianorum distribution range, and used up-to-date population genomics approaches (approximate Bayesian computation Random-Forest method, ABC-RF) to infer population demographic history. Spatial genetic structure and diversity analyses and demographic inferences indicated successive East-West colonization events by the Carthusian Pink. ABC-RF also revealed gene flow during colonization, but only among geographically close populations. This study provides important insights into the colonization processes of herbaceous perennial species belonging to one of Europe's most diverse plant genera.
Earthquake detection capacity of Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET)
Authors: Nanjo K. Z. , Yamamoto Y. , Ariyoshi K. , Horikawa H. , Yada S. , Takahashi N.
Published: August 2023

For many seismicity-related studies, a reliable estimate of the magnitude of completeness is critical, because they evaluate the statistical properties of seismicity that strongly depend on correct completeness estimates. Here we adopted the Probability-based Magnitude of Completeness (PMC) method and performed a case analysis of the Nankai Trough, a target region monitored for future megathrust earthquakes. JAMSTEC (Japan Agency for Marine-Earth Science and Technology) has created a seismicity catalog that includes events in this region observed by DONET (Dense Oceanfloor Network system for Earthquakes and Tsunamis). Using seismicity data for 2015–2019, we found spatiotemporal variability of completeness magnitude Mp. Mp was lower than 1 in one of the areas where stations are densely deployed, whereas Mp was larger than 2 at the periphery and outside of the DONET area. We then evaluated the temporal evolution of Mp, highlighting how the failure of sets of observing stations influenced Mp if not repaired. Stations are aggregated around the 12 science nodes (hubs that connect the stations) and connected through the two oceanfloor backbone cables to JAMSTEC. We explored the possible use of PMC as a tool with simulation computation of node malfunction. A simulation showed that completeness estimates in the area near failure nodes were about 1 magnitude larger. If such failure occurred for nodes near the region which straddles the rupture zones of the previous Tonankai and Nankai earthquakes in 1940’s, it would most pronouncedly affect earthquake monitoring among nodes’ failures. It is desirable to repair these nodes or replace with new ones when their malfunction occurs. We then demonstrated an example of how to use Mp information as prior knowledge to seismicity-related studies. We used the b value of the Gutenberg-Richter distribution, and computed it taking Mp into consideration. We found that the spatial and temporal changes in b were strongly correlated to the magnitude-6 class slow slip that grew over two years on the Nankai Trough plate boundary, indicating the b value as a proxy that can help to image stress heterogeneity when there is a slow slip event.
The Women’s Health Research Consortium: A novel framework for expanding women’s health research
Authors: Duhon Ashley , Schachter Aubrey , Gwan Anwei , Jernigan Amelia
Published: August 2023

Background Medical research is a vital component of medical practice and the ability to effectively complete quality research is key to driving change. Research participation in medical school is important, but the process can be challenging to navigate. Medical research focused on women’s health is historically lacking despite attempts to improve this disparity. This study was designed to evaluate the impact of a new research model on student research participation in the field of women’s health.Methods The Women’s Health Research Consortium (WHRC) was formed with the mission to improve medical student access, engagement, and support regarding the research process and to specifically address disparity in women’s health research in Southeast Louisiana. The Consortium was built in a multi-faceted style to provide support throughout the research process. Annual surveys were distributed to evaluate the effectiveness of the WHRC and the impact of these projects on improving women’s health research. Surveys were analyzed with one-way ANOVA to evaluate impact of WHRC participation.Results Participants were more satisfied with available research opportunities and more likely to initiate their own projects, and experienced less barriers to initiating projects. Women’s health focused research increased. Students became comfortable identifying research mentors and navigating the Institutional Review Board application process.Conclusions The formation of a medical student-led research Consortium improved student satisfaction with research opportunities and increased participation in women’s health-related research. The WHRC model is easily replicated and may improve research knowledge and accessibility for medical students and other trainees across the country.
Meritocracy for Whom? Persistent Earnings Inequality among Professional Athletes in Japan and the United States
Authors: Shin Eui Hang
Published: August 2023

The main objective of this study is to examine the patterns and differences in the earnings of professional athletes in Japan and the United States. Specifically, the study will analyze the earnings of players participating in the Japanese Golf Tour Organization Tour (JGTO Tour), Japan Ladies Professional Golfers' Association Tour (JLPGA Tour), Professional Golf Association Tour (PGA Tour), and Ladies Professional Golf Association Tour (LPGA Tour) from 2000 to 2019. By utilizing tournament earnings data from each of the four tours, the study aims to assess the level of earnings inequality within each tour at specific time points. The data analysis will focus on tracking how the concentration of tournament earnings has evolved over time within the four tours. A comparative analysis will be conducted to determine if gender and country have an influence on the distribution of earnings across the tours. An assessment will be made of each tour's tournament purse payout schemes, changes in purse amounts, and other tournament policies to determine if these structural factors have had any impact on the distribution of earnings. The Gini coefficient is employed to summarize the inequality in earnings distribution among the tour players at a particular time point. Additionally, we calculate the percentage of the total tournament winnings held by the highest-ranked player in a season, as well as the percentages held by the top 5, top 10, and top 20 players.
Depolymerized Waste Plastic Aggregates for Sustainable and Eco-friendly Bricks
Authors: Hameed Asraa. K. , Alzuhairi Mohammed . , Hashim Fadhil A. , Ghaban Ahmed . H. Al
Published: August 2023

The novelty of embodied energy, life-cycle costs, and reusability was utilized to construct an “Environmental Suitability Index” to recycle plastic garbage bottles. Bitumen was mixed with polyethylene terephthalate (PET) or depolymerized polyethylene terephthalate to make modified bitumen. The modified bitumen was combined with 10–20% sand, 30% gravel, and 50–60% modified bitumen. According to the previous determination for hardness, the best result for modified bitumen is 40% plastic and 60% bitumen. Different test types were applied for the sample, such as compression characteristics and sound insulation. Field Emission Scanning Electron Microscopy (FESEM) was used to study the morphological structure and elemental composition of the raw PET and DPET. The most prominent results are that the highest percentage for compression was 20% for the modified bitumen with PET, which was 7 MPa. In contrast, the compression of the modified bitumen with DPET was 6.9 MPa. The awareness is relatively lower than that of PET because the DPET contains impurities that appeared during the FESEM test, which caused an increase in porosity and reduced the compressibility. As for sound insulation, it is inversely proportional to the density of the material. Since plastic is a low-density material, the higher the percentage of plastic, the greater the sound insulation.
Improving Grade 9th H Students’ Result in Physics Subject in Dire Dawa Sabian Secondary and Preparatory School
Authors: Solomon G.B. , Tesfaye G.A. , Mengistu S.T.
Published: August 2023

The main objective of the study was to improve Grade 9th H Students’ Result in Physics Subject by implementing a collaborative teaching method in Dire Dawa Sabian Secondary and Preparatory Schools. From the total number of 54 students in the class, only 36 (18 male and 18 female) students who always present in the class were selected for this study using purposive sampling technique. The research source required were collected from questionaires, and the total mark of first & second semester of the selected students. Closed and open questionnaires were used to make this research accurate and appropriate. The data was sorted, and entered using SPSS software. The data were analysed by using descriptive statistics. After gathering information responded by the teachers and students, the cause of the problem were identified out and the pre-post results posit the need of an intervention therefore, the researchers planned a strategy of an intervention design to resolve the problems. After the implementation of the intervation programe, the post result conducted from the final exam result which was used to collect the post data. The data was sorted, and entered using SPSS software. The data was analysed by using descriptive statistics and T-test at p < 0.05 significant level. The result of the data analysis showed that there is a significant difference between the mean score of students taught with collaborative method and traditional method. This study also revealed that, there is no significant difference between the mean scores of male and female students in collaborative teaching method. The findings identifying the sources of difficulty that hinder to poor result of students in physics subject and the intervention through collaborative teaching method would help in improving students result better than the traditional method of teaching.
RM-SMOTE: A new robust balancing technique
Authors: Taban Rasool , Nunes Cláudia , Oliveira M. Rosário
Published: August 2023

Imbalanced data is a common characteristic in classification problems. The imbalance of the data may lead to biased results, due to the difficulty of learning classes with few observations, called Minority classes. Balancing techniques are a common strategy to overcome imbalanced data situations.
Real problems may have atypical observations or outliers, which can have a negative impact on the characterization of the Minority classes. Upon application of a balancing technique, the effect of these atypical observations may still be present in the balanced dataset, and even their negative effects may be reinforced.
In this paper we propose a robust approach to imbalanced learning - which we call RM-SMOTE - that combines the idea of SMOTE with robust Mahalanobis distance. We propose to down-weight atypical Minority class observations in such a way that potential outliers from this class have a low chance to be selected in the resampling step.
The performance of the RM-SMOTE is evaluated using several simulation scenarios, with different levels of contamination, and also using a set of imbalanced benchmark datasets. The results indicate the superiority of RM-SMOTE when handling different proportions of outliers while balancing the dataset. In cases where the observations are not linearly separable, this superiority is more significant when we compare it to other methods. In the case of the benchmark datasets, the results support the statistical superiority of RM-SMOTE compared to the state-of-the-art balancing techniques.
Comparison of Brain MRI Findings between Patients with Alzheimer's Disease and Non-Dementia Psychiatric Disorders in the Elderly
Authors: JI Xinyu , LIAN Yong , DONG Guanglai , DING Xiaoqian , LIU Xin
Published: August 2023

Objectives: This study aimed to investigate differences in brain structure between Alzheimer's disease (AD) and non-dementia psychiatric disorders (SNDMD) patients using MRI imaging for accurate diagnosis.
Methods: A total of 50 AD patients and 50 SNDMD patients underwent head MRI scans, and brain structures were measured and compared using SPSS software. The MRI results were interpreted by two radiologists.
Results: AD patients had wider sulci and larger ventricular systems compared to SNDMD patients and normal elderly individuals. SNDMD patients had less cortical atrophy than AD patients.
Conclusion: The findings suggest that MRI is a useful tool for differentiating AD from SNDMD and aiding in early diagnosis. However, it should be noted that MRI is not a definitive diagnostic tool.
NEWSPAPER SUBCORPUS (SUBCORPUS OF THE MODERN EUROPEAN MEDIA) IN THE STRUCTURE OF THE MULTILINGUAL CORPUS
Authors: Anokhina Tetiana
Published: August 2023

The research of the European Media comprises plenty of precious documents compiled into our educational corpora. This study represents how the corpus has been compiled. Also, we find it necessary to show the tools for this compilation which were described and analyzed. The first step of our compilation was collecting raw data in the library. The second step was selecting the format of the selection to compile by the chosen tool (the Sketch Engine). Then we made the following selection of files containing European Media content allowing it to go into the EU collection. The selected files were from the library of the popular media of Europe. It has been selected to have comprised highly cited articles from British sources: the BBC, the Sun, the Daily Mail, the Guardian, the Times, and the Economist. All the mentioned newspapers are known for their investigative journalism and critical analysis of current affairs. Our selected tools for our media subcorpus were the web-based tool for creating corpora Sketch Engine. Also, we used the offline corpus manager AntConc, the open-source software program for corpora analysis.
THE MEDIA LITERACY CONCEPT IN A FOREIGN SCIENСЕ: MEDIALINGUISTIC PROJECTION
Authors: Chernysh Anna , Ishchenko Olena
Published: August 2023

The article is devoted to the analysis of approaches inunderstanding media literacy in foreign scientific discourse. According tothe scientific achievements of American, European and some Ukrainian researchers, the concept of media literacy has been systematized, the main task of which is to form a set of skills in the process of analysis, interpretation, selection, processing and presentation of media information in various forms. It was found that today media literacy as a leading component of media education, which is proposed for active implementation and use in the educational system, involves mastering a number of competencies –critical understanding, critical perception, revision of information channels, distinguishing between authentic and fake information, exposing hidden ideologies of media content, methods of presentation information, various influences, manipulations and pressures. It has been traced achange in scientific approaches inunderstanding media literacy. In the article it has been proven thatthe mass introduction of technical means of communication into the life of a modern person, the need to develop a culture of competent behavior with the media continuum and the need for effective processing of visual, verbal, and textual information coming to the receiver of information from television, advertising, cinema, and digital media has emerged. It has been found that the implementation of scientific approaches in the understanding of media literacy takes place effectively according to the linguistic-cognitive principle of interpreting various types of media messages. The identifications of specific language codes in working with the media continuum ensures high-quality assimilation of information and contributes to the analysis of the extralinguistic context of media texts.
GENDER ASYMMETRY IN MODERN MASS MEDIA ENGLISH
Authors: Chulanova Halyna
Published: August 2023

The article explores the functioning of feminitives-neologismsin modern English. Feminitives are quite actively studied by modern linguists. Word formation studies the formation of feminitives, gender linguistics studies their use. The focus of linguistic gender studies is the study of the category of gender using linguistic tools, the representation of the category of gender in the language, the presence of gender asymmetry (this phenomenon is also called androcentrism of the language), etc. Feminitives are a struggle against the androcentrism of the language, in which the male norm is presented as universal. In the article, gender is considered as a stratification category, as one of the parameters by which the social identity of the speaker is constructed in communication. The English language tends to be politically correct and use gender-neutral words. The prevailing ideology and moral norms have led to the fact that they have become the basis for the formation of the language policy of states. Gender is a product of the development of culture and society. Of great interest is the study of gender in professional communication, attention is paid to the ways of nominating persons of different sexes. So, the purpose of the study is to conduct a gender analysis of the ongoing changes in the modern world.
Assessment of child protection policy awareness in secondary schools
Authors: Adewale Sulaimon , Potokri Onoriode Collins
Published: August 2023

This study was designed to assess the awareness of child protection policy in secondary schools. This is due to the widespread violence against children in many places, including schools. This study adopts a quantitative research design to explore the convenience sampling technique, used to sample 139 teachers in public and private schools in Lagos State, Nigeria. The collected data were analysed with a chi-square independent test at .05 significance level. The study found a relatively moderate awareness of child protection policy among the teachers. There was also a significant positive relationship between educational qualification, school ownership type, and teachers’ awareness of the policy. However, gender and years of teaching experience have no significant relationship with teachers’ awareness of the policy. The study’s finding implies that all educational stakeholders, especially policy planners and implementers, should go back to the drawing board and brainstorm ways to cover the loopholes in policy awareness strategies. Recommendations were made that the school management should set up a standing committee to create awareness of all policies emanating within and outside the school to bridge the communication and awareness gap among school community members, and as part of the induction programme for new teachers, training should be organised for teachers on child protection. This study is unique because it traces the root cause of policy failure and the problem of violence against children in society.
An exact local mapping from clock-spins to fermions
Authors: Traverso Simone , Fleckenstein Christoph , Sassetti Maura , Traverso Ziani Niccolo
Published: August 2023

Clock-spin models are attracting great interest, due to both their rich phase diagram and their connection to parafermions. In this context, we derive an exact local mapping from clock-spin to fermionic partition functions. Such mapping, akin to techniques introduced by Fedotov and Popov for spin \frac{1}{2}12 chains, grants access to well established numerical tools for the perturbative treatment of fermionic systems in the clock-spin framework. Moreover, in one dimension, it allows to use bosonization to access the low energy properties of clock-spin models. Finally, aside from the direct application in clock-spin models, this new mapping enables the conception of interesting fermionic models, based on the clock-spin counterparts.
O GÊNERO Fridericia (BIGNONIACEAE): COMPOSIÇÃO QUÍMICA E POTENCIAL BIOLÓGICO
Authors: Henrique Camila , Alves Osvaine , e Silva Márcio , Cunha Wilson , Januario Ana , Pauletti Patrícia
Published: August 2023

THE GENUS Fridericia (BIGNONIACEAE): CHEMICAL COMPOSITION AND BIOLOGICAL POTENTIAL. The genus Fridericia belongs to the family Bignoniaceae and comprises 60 species that occur in humid to dry forests, cerrado, and caatinga vegetation. It may be found from Mexico to Argentina and southern Brazil. This article reviews studies conducted on this genus, primarily focusing on its chemical composition and biological activities. Of the 60 known Fridericia species, only 14 have been the object of chemical and biological studies, accounting for 23% of the researched species. Eighty-four compounds, mainly flavonoids, terpenes, xanthones, and phenylethanoids, have been isolated from these species. The biological properties described in this review include antimicrobial, antioxidant, anti-inflammatory, hepatoprotective, antiviral, healing, antiproliferative, trypanocidal, and antileishmania activities. Notably, the species F. chica has been the most studied, as it is listed in the National List of Medicinal Plants of Interest to the Brazilian Unified Health System (RENISUS).
The Software Design Overview by Processing The Recording From Bird's-Eye View Images to Determine The Crop Detection and Functionality of The Various Land Types
Authors: YİLDİRİM Eray , ŞABİKOĞLU İsrafil
Published: August 2023

To meet the demand for food, humanity has begun to use the latest technologies such as artificial intelligence, the internet of things, and drones, in addition to advanced tractors, seeds, and crop planting methods. Precision agriculture has been achieved by using the latest technology in this field, especially in recent years, the use of drones for agricultural land spraying has gained great interest. In this study, a Python programming language was used to process the video footage of a certain height taken from agricultural land with the help of a drone, using individual photo frames obtained from the footage. Each pixel was separated into different color contrast values, and certain colors were distinguished by counting. The proportional distribution of different types of surfaces on the land was determined. The software enabled the determination of various geophysical properties such as the productivity of crops, crop development status, and identification of areas where the crop does not grow.
A Study on Determinants of Coffee Export from Indonesia to The United States of America
Authors: PRİLLİADİ Hilmy , BİRİNCİ Avni
Published: August 2023

This research was conducted to reveal the determinants of Indonesia's coffee exports to the USA. In addition, it has been determined as the sub-objectives of the research to reveal the reasons for the recent decline in coffee exports and to try to produce alternative policies to increase the value of coffee exports from Indonesia to the USA. In this research, Autoregressive Distributed Lag (ARDL) cointegration analysis estimation method was implemented by using EViews 12 program. As a result of the analysis, it was determined that the exchange rate of the US Dollar against the Indonesian Rupiah and the annual inflation rate of Indonesia did not have a statistically significant effect on the value of coffee exports in both the short and long run. In addition, variables of world coffee prices, US coffee consumption, world tea prices, Indonesia's coffee export prices to the USA, terms of trade, trade openness, and Indonesia's coffee planting area were found to be statistically significant. Furthermore, it has been determined that the US coffee consumption and Indonesia's coffee export price to the USA have a positive effect in the short term, but have a negative effect in the long term. Among all the independent variables, it was revealed that the Indonesian coffee planting area variable had the greatest effect. Therefore, it can be stated that policymakers should try to address the challenges of exporting to increase the export value of Indonesian coffee to the US and be careful not to overly focus on exchange rate fixing or inflation targeting as these two variables have no significant impact on export value. In addition, paying attention to the issue of product development that increases added value can be expressed as the most important of the suggestions that can be made based on the results obtained.
İstihbarat ve Mekânsal İstihbarat
Authors: ONYIL Halil İbrahim
Published: August 2023

Harita Mühendisliği mesleğinin çalışma alanı olan, konum ve mekân verisinin toplanması, değerlendirilmesi, analizi ve sunulması birçok alanda olduğu gibi askeri alanda da iş başındadır. Savaşların ve harekâtların, mekândan bağımsız düşünülemediği bilinmektedir. Bu bağlamda mekân ve konum verisini yalnızca bir savaş alanı olmanın ötesine taşıyıp, savaşın seyrine yön verecek bir veri olarak kullanmak ise mümkündür. Mekânsal verilerin temini ve kullanım alanlarından bir tanesi de, istihbarattır. Bu makale kapsamında, istihbaratın genel tarih içerisindeki yeri, farklı dillerdeki anlamı, istihbaratın metodolojisi anlatılmıştır, sonrasında teknik istihbaratın mekânsal algı yönü olan mekânsal istihbaratın tanımı ve kavramları açıklanmıştır. Son olarak mekânsal istihbaratın, veri toplama ve analiz yapabilme araçları olan; coğrafi bilgi sistemleri (CBS) ve uzaktan algılama teknolojileri (UAT) açıklanmıştır. İstihbaratın, mekânsal boyutunu konu edinen ve ülkemizdeki askeri harekât alanlarında, mekânsal istihbaratın kullanılabilirliğini arttırmak amacıyla bir kısım öneriler sunulmuştur.
Quantum Transport Properties of InAs NWFET with Surface Traps
Authors: IPEK Semran , GENÇ İbrahim
Published: August 2023

The quantum transport properties of InAs nanowire field effect transistor (NWFET) have been calculated and analyzed depending on the surface trap concentrations. Surface traps can be either impurity atoms, dangling bonds or structural deformations. Here, we have left some In and As atoms unsaturated to obtain surface traps. Our calculations show that the on-state voltage increases as the surface trap concentration increases. Within an equivalent circuit model, we have found that the effective field mobility is as low as 250 cm2/V.s following with small transconductance value of 2.4 nS for our simulated device. This shows that surface traps significantly effect the benchmarking properties of InAs NWFET.
Eklemeli İmalatta Alüminyum ve Alüminyum Alaşımlarının Uygulamaları ve Topoloji Optimizasyonu
Authors: EVRENSEL Ramazan , ERTEK Cem
Published: August 2023

Eklemeli imalat teknolojileri; plastik, seramik ve metal malzemeler kullanılarak nesnelerin üç boyutlu (3B) dijital model verilerine göre nihai geometri elde edilene kadar parçanın katman katman imal edilmesi prensibine dayalı bir yöntemleri içerir. Bu yöntemlerin günümüzde sanat, yapı sektörü, medikal, enerji, otomotiv, havacılık ve uzay endüstrilerinde çok karmaşık geometrili mamulleri tek parça halinde ek işlemlere (kaynak, montaj gibi vb.) ihtiyaç duymadan imal edebilme, gözenekli ve boşluklu (topoloji optimizasyonu) yapılar oluşturarak ağırlık azaltma gibi avantajları sayesinde kullanımı gittikçe artmıştır. Eklemeli imalat sektöründe kullanılan toz malzemeler arasında alüminyum ve alüminyum alaşımları oldukça çok tercih edilmektedir. Bu çalışmada otomotiv, havacılık ve uzay endüstrilerinde kullanılan alüminyum alaşımlarının eklemeli imalat teknolojileri ve topoloji optimizasyonu yöntemlerinden yararlanarak imal edilmiş parçalar incelenmiştir.
Makine Öğrenmesi Yöntemleriyle Orman Yangını Tahmini
Authors: YILDIRIM Orhan , GUNAY Faruk Baturalp , YAĞANOĞLU Mete
Published: August 2023

Orman yangını, ormanda yaşama birliği içinde bulunan canlı ve cansız bütün varlıkları yakarak yok eden, ekonomik ve ekolojik zararları olan bir afettir. Son yıllarda küresel ısınma sebebi ile mevsim normalleri üzerinde seyreden sıcaklıklar ve kuraklıklar orman yangını riskini daha da artırmaktadır. Orman yangınları nedeniyle meydana gelen zararı en aza indirmek için yangınla mücadelede erken uyarı, hızlı ve etkin müdahale çok önemlidir. Makine öğrenmesi yöntemleri ise günümüzde erken uyarı sistemlerinde kullanılmaktadır. Bu çalışmada orman yangınlarıyla mücadele için olası orman yangınını önceden tahmin ederek yangınların kontrol edilmesi ve etkisinin azaltılması hedeflenmiştir. Orman yangını tahmin modeli için veri seti, NASA’nın Oak Ridge Ulusal Laboratuvarı (ORNL) Dağıtılmış Aktif Arşiv Merkezi’nin (DAAC) resmi web sitesinden alınarak geliştirilmiştir. Bu veriler makine öğrenmesi yöntemleriyle işlenerek orman yangını tahmin modeli oluşturulmuştur. Veri setine çeşitli ön işleme adımı uygulayarak sınıflandırma modeline uygun hale getirilmiştir. Öznitelik seçme teknikleri ile veri setinin tümü kullanılmadan en yüksek oranda veri bütünlüğü sağlanarak en az sayıda öznitelik alt kümesi seçilmiştir. Hedef değişkeni bulmada en önemli ve en faydalı öznitelikler seçilerek makine öğrenmesi algoritmalarından Destek Vektör Makinesi, Karar Ağacı, Rasgele Orman, Gradyan Artırma, K-En Yakın Komşu ve Naive Bayes olmak üzere 6 farklı sınıflandırma algoritmaları ile model oluşturulmuştur. Model performansını değerlendirmek için validasyon işlemi ve en iyi parametre seçimi için ise hiperparametre optimizasyonu yapılmıştır. Bu çalışmada kullanılan sınıflandırma algoritmaları arasında validasyon işlemi ile birlikte en başarılı iki algoritmadan Rasgele Orman ile %97 ve Naive Bayes ile %96 doğruluk oranı elde edilmiştir.
Elektromanyetik Ekranlama Uygulamaları İçin GdMnO3/PANI/Ba(Zn1/3Nb2/3)O3 Kompozitlerin Özellikleri
Authors: ŞAHİN Ethem İlhan , EMEK Mehriban
Published: August 2023

Bu çalışmada, oksitlerin karışımı tekniği kullanılarak GdMnO3-Ba(Zn1/3Nb2/3)O3 üretilmiştir. GdMnO3-Ba(Zn1/3Nb2/3)O3 kompozisyon bileşimleri yapısal analiz için çeşitli oranlarda oluşturulmuştur. Tek fazlı GdMnO3 ve Ba(Zn1/3Nb2/3)O3 bileşimi, 1200-1400°C arasında sinterlendikten sonra üretilmiştir. Yapısal analizi sonuçları, GdMnO3 ve Ba(Zn1/3Nb2/3)O3 ‘de ikinci fazın oluşmadığını göstermiştir. Yapısal analiz için X-ışını kırınımı (XRD) yapıldı. Ek olarak, GdMnO3/PANI/Ba(Zn1/3Nb2/3)O3 kompozitleri çeşitli miktarlarda GdMnO3-Ba(Zn1/3Nb2/3)O3 ve anilin bileşimleri kullanılarak sıcak presleme yöntemiyle üretilmiştir. (GdMnO3-Ba(Zn1/3Nb2/3)O3) ve anilin ağırlık oranları sırasıyla 1:1 idi. Çeşitli ağırlıklarda oluşturulan GdMnO3/PANI/Ba(Zn1/3Nb2/3)O3 bileşiği ve epoksi tozu kullanılarak mikrodalga kalkanlama etkili kompozitler üretilmiştir. Bir ağ analizör cihazı (NA) kullanılarak, GdMnO3/PANI/Ba(Zn1/3Nb2/3)O3 kompozitlerinin mikrodalga ekranlama etkisi 8-18 GHz aralığında incelenmiştir. 1.4 mm kalınlıkta 15.77 GHz'de minimum -56.77 dB ekranlama etkisi değeri elde edilmiştir. GdMnO3/PANI/Ba(Zn1/3Nb2/3)O3 kompozit malzeme olarak üretilmiş ve kalkanlama etkisi için özellikleri karakterize edilmiştir. Bu mikrodalga koruma performansı, daha geniş ve gerekli frekans bantları için örneklerdeki polianilin içeriği ve GdMnO3-Ba(Zn1/3Nb2/3)O3 içeriği kontrol edilerek kolayca ayarlanabilir.