bluuebunny/crossref_metadata_2025 huggingface dataset:
Cultural Influences on Students' Information Technology Skills Development
Authors:   National Academy of Public Administration, Vietnam, Quynh Trang Nguyen Thị , Thu Phan Thị ,   National Academy of Public Administration, Vietnam
Published: May 2024

This qualitative study examines the cultural influences on developing information technology (IT) skills among secondary school students in Vietnam. The research uncovers how cultural values, educational practices, and socio-economic conditions influence IT education by conducting in-depth interviews, focus groups, and classroom observations across urban and rural settings. Key findings reveal significant disparities in the perception of IT's importance between urban and rural areas, with cultural norms and economic realities influencing these attitudes. Traditional Confucian values inhibit active and exploratory learning methods in IT education. Additionally, English language barriers limit the effective use of global IT resources, while gender norms and socioeconomic status create uneven student opportunities. The study suggests policy interventions aimed at enhancing IT infrastructure, promoting gender inclusivity, and adjusting curricula to accommodate language and cultural nuances. Recommendations include the development of more inclusive, culturally sensitive educational practices to ensure equitable IT skill development. This research contributes to understanding the multifaceted impact of cultural factors on IT education and proposes strategies for crafting more effective and inclusive IT educational policies.
AI Based Chatbot: A Case Study Afghanistan Healthcare Services Mental Health Disorder
Authors:   Lecturer at Parwan University, Parwan, Afghanistan, Sabet Esmatullah , Shafiullah Sadat Sayed ,   Lecturer at Polytechnic University, Kabul, Afghanistan, Khaliqi Hasib Ahmad ,   Lecturer at Parwan University, Parwan, Afghanistan
Published: May 2024

Artificial intelligence increasingly integrates our daily lives with the creation and analysis of intelligent software and hardware, called intelligent agents. Intelligent agents can do a variety of tasks ranging from labor work to sophisticated operations. A Chatbot is a typical example of an artificial intelligence system. For developing artificial intelligence Chatbot, we have implemented encoder-decoder attention mechanism architecture memory cells, TFIDF (term frequency-inverse document frequency) algorithm and LLM (Large Language Module). To conduct this research, mixed methods research could involve combining both qualitative and quantitative methods to provide a more comprehensive understanding of the research topic. Survey utilized as the main methods for collecting the primary data and reviewed the existing literature for collecting the secondary data in this research. The data was collected from 18 participants, including medical doctors, patients, lecturers and university students in Afghanistan. Additionally, secondary data was obtained through a review of literature from other countries that have faced similar situations. Moreover, the analysis reveals a widespread belief among respondents that the implementation of AI based Chatbot for Afghanistan healthcare service in mental health disorder will contribute to reduce illness in Afghanistan.
Instigators of New Innovation Ideas for Improving A Bank’s Effective Market Performance in Times of Crisis
Authors:   Research Apprentice at Cloud Analytika-London, United Kingdom, Adesegha Jennifer Davis-
Published: May 2024

Thriving in the increasingly more value-driven financial markets requires all banks to be as innovative as possible. However, as every bank engages in different forms of disruptive innovations to edge out each other, some banks tend to become lost completely on the new innovation ideas and trajectory that their innovation/innovative business activities must undertake. In contrast, others remain accurately focused with clear innovation ideas and discourses to pursue. To revolve such paradoxes, this paper offers accurate analysis of the sources or instigators of innovation that financial institutions can use to extract new innovation ideas that can be pursued to leverage their effective performance in periods of crises. Using a qualitative content analysis, the paper evaluates theories and literature on the instigators of innovation ideas as well as innovation management in the contemporary business organisations. Findings imply the major instigators or sources of new innovation ideas often arise from knowledge-push sources of innovation, need-pull sources of innovation, crisis-driven sources of innovation, users as innovators as well as learning and imitation as sources of innovation. Other instigators were found to arise from regulatory changes, the degree of industry or market saturation and competitors’ actions. To respond to the challenges that some of the banks experience about discerning the new innovation ideas to pursue and turn around their performance during a crisis, the paper suggests the model for enhancing novel banking innovations for leveraging a bank’s effective performance, competitiveness and sustainability during a crisis. Through such analysis and proposition, the paper contributes new insights that not only enrich the existing theories and literature on innovation management, but also new thinking that can be emulated by the contemporary businesses to bolster their innovation capabilities.
Secondary School Enrollment in Nigeria: The Role of Remittances from Abroad
Authors:   Department of Economics, Alvan Ikoku Federal University of Education, Owerri, Okezie A. Ihugba, , Stella N. Okoroafor, ,   Department of Accountancy, Alvan Ikoku Federal University of Education, Owerri
Published: May 2024

Using the autoregressive distributed lag (ARDL) method, the study looked at how remittances affected secondary school enrollment in Nigeria. The research uses annual data from 1981 to 2022. Remittances from overseas, GDP per capita, gross fixed capital formation, inflation, and the ratio of tertiary school enrollment are the five channels that are taken into consideration. The findings show that the remittances coefficient indicates a one-unit increase in remittances leads to a -0.0168-unit decrease in the secondary school enrollment rate, although not statistically significant. This suggests that when remittances are used for basic needs like housing, healthcare, and daily expenses, there is less money available for schooling. Families may feel that the high fees are excessive and that income dynamics cannot support the costs of secondary education. The findings also show that the log of GDP per capita is associated with a 0.0626-unit increase in the log of secondary school enrollment rate. Tertiary school enrollment is associated with an increase in the current log of secondary school enrollment rates because higher secondary school enrollment rates are driven by increased education desires, tertiary opportunities, and better access. The study concludes that while remittances have the potential to impact educational decisions and outcomes in general, they had no effect on secondary school enrollment rates in Nigeria or during the study period, and it suggests that the government look into the challenges faced by families that rely on remittances for education. Pay careful attention to the outcomes of implemented policies and programmes so that you can assess their effectiveness and adjust as needed in response to community input.
Impact of Innovations on SME Performance in Ho Chi Minh City (Vietnam)
Authors:   Nguyen Tat Thanh University, Thy Ngo Giang
Published: May 2024

This study aims to refine the broad idea of innovation by focusing on four specific types: product innovation, organizational innovation, process innovation, and R&D. These four categories will be used to measure the extent of innovation. The statistical model is used to examine the association between such innovations and business performance. The model is based on a sample size of 7,788 enterprises, with data provided by the Vietnamese General Statistics Offices. The findings validate the presence of product innovation, organizational innovation, and R&D as factors influencing SME success. Among these factors, organizational innovation has the highest influence, followed by product innovation and R&D. The causal link between process innovation and SME performance remains unestablished, as SMEs, comprising 95% or more of the market, primarily allocate their investments towards organizational innovation, product or service innovation, and R&D. This discovery serves as a valuable point of reference for both businesses and policymakers. It highlights the importance of considering potential forms of support for SMEs in order to foster innovation and achieve success.
Determinants of Investment Property Choice: an Empirical Analysis of Nigeria Listed Firms
Authors:   Department of Accounting, Afe Babalola University, Ado-Ekiti1, Ado-Ekiti, ( FCA, Ph.D) Israel S. AKINADEWO , ADEBOWALE Olajide J. ,   Department of Accounting, Afe Babalola University, Ado-Ekiti1, Ado-Ekiti, FAGBOMEDO Bukola I. ,   Department of Accounting, Afe Babalola University, Ado-Ekiti1, Ado-Ekiti, LAWAL Adenike M. ,   Department of Accounting, Afe Babalola University, Ado-Ekiti1, Ado-Ekiti, OYEWOLE Kehinde S. ,   Department of Accounting, Afe Babalola University, Ado-Ekiti1, Ado-Ekiti
Published: May 2024

In order to investigate the factors influencing the choices of investment properties of the firms listed on Nigeria Exchange Group (NGX), this study carried out an empirical investigation. 155 businesses that were listed on the Nigerian Exchange Group (NGX) as of December 31, 2022, made up the study's population. A purposive sampling strategy was used to select a sample size of fifty-five firms. Data were obtained from the companies' audited annual financial reports for the years 2012-2022. Panel data regression (PDR) was utilized for the analysis of data. The findings showed that the accounting choices made by businesses regarding the management of investment property are significantly influenced by both debt and business size. Furthermore, the choice of how to treat investment property in accounting is not much influenced by the degree of board independence. Moreover, non-financial firms listed on the stock exchange choose different accounting methods for their investment assets due to the negative and significant effects of ownership concentration. This is due to the fact that a company that has a high ownership concentration is less likely to base its accounting choices on the International Financial Reporting Standards (IFRS). This implies that businesses are less likely to adhere to the fair value technique for valuing investment property if their ownership is more concentrated. The study discovered that a firm's accounting decision on the handling of investment property is significantly influenced by the drivers of investment property choosing. It is, thus, recommended the need for firms to set up a system that would track and assess investment property choices on an ongoing basis. This is expected to develop robust, and proactive plans that consider both short-term financial gain and long-term viability.
Article RETRACTED due to manipulation by the authors Content validity and reliability of agility test in wheelchair tennis
Authors: Alim Abdul , Sumardi Tomoliyus , Rismayanthi Cerika , Yulianto Wahyu Dwi , Shahril Mohd Izwan
Published: May 2024

Purpose. This study aims to develop the construction of an agility test in wheelchair tennis. Material and methods. This research is a research development consisting of four stages. In the first stage, documents and research journals were analyzed to develop the construction of a wheelchair tennis agility test. The first step resulted in six aspects, namely: the definition of the agility test motion aspect, the suitability of the test to the state of the match aspect, ease in the agility test aspect, reliability aspect, clarity instructions on the image aspect, and security aspect. The Delphi technique was used in the second stage, and experts assessed the results of constructing the wheelchair tennis agility test in the first stage. In the third stage, the results of expert judgment with the Aiken formula were analyzed to test the validity of the contents. Participants in this study were documents and seven experts consisting of five national coaches and two experts with Doctoral degrees in tennis science specifications. The fourth step with Cronbach’s Alpha reliability test and Intraclass Correlation Coefficient was tested on 16 experienced wheelchair athletes, male and female, with the age of 18-40 years and an average training level of 11.20±1.7 years.Results. The validity test results on aspect 1 show V value of 0.78; on aspect 2 show V value of 0.90; on aspect 3 show V value of 0.85; on aspect 4 show V value of 0.96; on aspect 5 show V value of 0.96; and on aspect 6 show V value of 0.96. The result of Croncbach’s Alpha reliability test is 0.804, and the value of the Intraclass Correlation Coefficient is 0.804. Then, the agility test of wheelchair tennis athletes has a valid and reliable value.Conclusions. The wheelchair tennis agility test construct has high validity and reliability. The construction document of the wheelchair tennis agility test instrument shows that it has high content validity and reliability, so it can convince readers and researchers about the instrument. Further research requires more detailed testing of retest test conducted with larger samples.
Key words: wheelchair tennis, content validity, agility, physical
Tapasztalatok a gerontológiai masszázs terén (megtörtént esetek alapján)
Authors: Cziegler Ákos
Published: May 2024

The author summarizes his own professional experience in the field of massaging elderly patients over the past decade. In addition to a detailed description of the massage sessions, he also describes the characteristics that the practitioner should be aware of when providing massage to an elderly person. These may include communication in the face of sensory decline, difficulty in accurately recalling memories, and changes in the musculoskeletal, circulatory and metabolic systems of the body in later life.
Sustainability of Rural Road Development: A Case Study on Woro Village Kepohbaru District Bojonegoro Region
Authors: Lestari Puji , Rachmansyah Arief , Efani Anthon , Pertiwi Maharani
Published: May 2024

Road development has been a primary focus in efforts to enhance connectivity and mobility across various regions, especially in densely populated urban areas that often serve as economic hubs. While crucial for addressing mobility challenges in urban settings, it is essential to acknowledge that road development in rural areas also holds significant importance. This paper investigates the sustainability of rural road development through five dimensions of environmental, social, economic, institutional management, and law enforcement, a case study on Woro Village, Kepohbaru District, Bojonegoro Region. The quantitative research collected data through a questionnaire from 84 respondents who are members of the village community. The data analysis employed Multidimensional Scaling (MDS) using R-studio software. The result is indicated by the sustainability index of the environmental index of 83.93; the social index of 86.46; the economic index of 88.06; the institutional management index of 79.32 and the law enforcement index of 86.15. The research findings indicate rural road development has demonstrated good sustainability in various aspects, including environmental, social, economic, management institutions, and law enforcement. This confirms that efforts to build rural roads have provided sustainable and diverse positive impacts on local communities and the surrounding environment.
Effects of Authorial Voice on Literary Reception in the United States
Authors: Runny Richard
Published: May 2024

Purpose: The aim of the study was to assess the effects of authorial voice on literary reception in the United States.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study indicate that the tone, style, and perspective of the author can shape readers' interpretations and emotional responses to a text. For example, a confident and authoritative voice may engender trust and engagement, while a more experimental or ambiguous voice might provoke curiosity and critical reflection. Furthermore, readers' familiarity with an author's voice, whether through previous works or cultural reputation, can impact their expectations and predispositions towards new material.
Implications to Theory, Practice and Policy: Reader-response theory, narrative theory and reception theory may be used to anchor future studies on assessing effects of authorial voice on literary reception in the United States. Encourage authors to actively engage with readers to solicit feedback on narrative voice choices and their impact on reader interpretation and enjoyment of literary works. Advocate for policies and initiatives that promote diversity and inclusion in literature, ensuring that marginalized voices and perspectives are represented and celebrated in the literary landscape.
WHAT’S IN A ROSE? IDIOMATIC EXPRESSIONS THROUGH THE LENS OF DIFFERENT LANGUAGES. CONTRASTIVE APPROACH
Authors: MIHALACHE Roxana , VELESCU Elena , BREZULEANU Carmen-Olguta
Published: May 2024

The purpose of this study is to compare rose-containing idiomatic expressions
from English, German, French, Italian and Romanian in order to determine their
equivalents. The first part of the analysis focuses on theoretical factors connected to the
description and classification of these structures in the literature. An overview of several
idiomatic expressions that can be found in various languages that make use of “roses” is
presented, together with their definitions, histories, Romanian equivalents, and, when
available and relevant, their etymological roots. The research concludes by comparing
and contrasting the idioms in all the above mentioned languages that use the word “rose”.
Keywords: rose, idiomatic expressions, contrastive approach, foreign languages
CONCEPTUAL ASPECTS OF SUSTAINABLE ROAD INFRASTRUCTURE MANAGEMENT
Authors: OBOROCEANU Aliona
Published: May 2024

The road infrastructure is closely correlated with the economic development of a country. Critical
factors such as transportation facilitation, cost reduction, regional development stimulation, investment
attraction, tourism promotion, increased economic productivity through reduced travel time, and improved
logistics depend on the quality of road infrastructure management. In this study, the author theoretically
grounded the concept of road infrastructure management from the perspective of sustainability and outlined
a vision of road infrastructure management as an integrated system. The methods employed included
monographic analysis, synthesis, deduction, comparative analysis, and other qualitative methods.
The relevance of this study lies in the synthesis of the theoretical conceptual model of sustainable road
infrastructure management. The author reviewed the main characteristics of sustainable road infrastructure
management, highlighted the key criteria evaluating the quality of sustainable infrastructure, and provided
a comprehensive overview of the subject.
FOOD WASTE PREVENTION SOLUTIONS IN THE NONFINANCIAL REPORTS OF ROMANIAN FOOD RETAILERS
Authors: PETREA Mădălina-Ioana
Published: May 2024

The research delves into the non-financial reports of Romanian food retailers, shedding light on
the solutions adopted to prevent food waste. The research is focused on six of the biggest food retailers in
Romania and their last two public sustainability reports from 2020 and 2021. By analyzing the reports, the
research uncovers the most important strategies, measures and innovations implemented to help reduce
wastage in the food retail sector in Romania. The findings of the study point towards a growing awareness
and commitment among Romanian food retailers towards sustainable business strategies and food waste
management strategies.
A NEW TOOL FOR ANALYSING THE PERFORMANCE OF INSTITUTIONS REGARDING PUBLIC PROCUREMENT PROCESSES
Authors: UNGUREANU Cosmin Ilie
Published: May 2024

Public procurement is one of the ways in which authorities contribute to the welfare of citizens
through investment and services. Articles in the literature have done relatively limited work on analysing the
performance of the public procurement system and the factors that influence this performance in comparison
with procurement and the way these processes are organised in private companies. The aim of this paper is
to propose a new tool for analysing the factors influencing the performance of public procurement structures
in Romanian government institutions. Based on the literature and the author's more than 15 years of
experience in the field of public procurement, the present framework was developed. Several dimensions
have been taken into account in the development of the tool, thus the following were taken into account: the
organisation of the institution, the degree of specialisation of the staff involved in the procurement process,
the degree of recognition of the procurement function within the institution. This questionnaire can be used
in any analysis of factors leading to the performance of institutions in Romania in terms of the duration of
public procurement processes. These analyses will contribute to the development of strategies in the field of
optimising staffing requirements and improving the performance of procurement structures in public
institutions
Analysis of Electric Power Transmission Lines Through Graph Theory: Protecting Environmental Preservation Areas Through Strategic Planning
Authors: Silva Mota Laíssa Daniele , Araújo Lima Danielli
Published: May 2024

Electrical networks consist of generation plants, transmission and distribution substations of electrical en-ergy. Power is transmitted through towers and lines that span hundreds or even thousands of kilometers. To ensure the health, stability of ecosystems and our quality of life, we must protect the environmental areas where transmission lines intersect. Given the global challenges related to sustainability, the conservation of natural resources and the mitigation of climate change, these studies are imperative. Through graph algorithms, especially vertex degree search and depth-first search, we identify alternative routes, avoiding sensitive regions such as conservation areas within the 440kV transmission networks of São Paulo, Brazil. By reallocating energy transport, we can ensure net-work maintenance and reduce environmental impacts from potential accidents. The results highlight the sustainable planning of transmission lines, aligning energy needs with Brazilian environmental conservation efforts, including the Rio State Park Peixe, Aguapeí State Park, Itapetinga State Park and Itaberaba State Park. Combining existing environmental laws with the promotion of sustainable technologies and practices, promoting more efficient use of resources while protecting the environment.
 
Received: 1 November 2023 | Revised: 4 January 2024 | Accepted: 9 May 2024
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data that support the findings of this study are openly available in Webmap Energy Research Company (EPE) at https://gisepeprd2.epe.gov.br/WebMapEPE/.
Numerical optimization in the problems of designing multilayer magnetic cloaking shells
Authors:   Institute for Applied Mathematics, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia, Spivak Yu.E. ,   Far Eastern Federal University, Vladivostok, Russia
Published: May 2024

A multiparameter optimization problem of magnetic cloaking is solved for a two-dimensional model of magnetostatics. This problem arises when designing cylindrical multilayer cloaking devices filled with anisotropic or isotropic magnetic media with tensor, in the general case, magnetic permeabilities. Applying the optimization method for solving inverse problems the considered problem of magnetic cloaking is reduced to a finite-dimensional extremum problem. The results of applying the developed numerical algorithm based on the particle swarm optimization method to solve the extremum problem confirm its high efficiency and make it possible to establish the important property of the obtained optimal solutions.
RELIABILITY OF INTERVIEWS USED FOR ADMISSION TO TEACHER EDUCATION PROGRAMS IN NORTHERN CYPRUS: GENERALIZABILITY THEORY
Authors: Özder Hasan , Takır Aygil
Published: May 2024

This study examined the reliability of raters' assessments of prospective teachers for admission to a teacher training college. A total of fifty-eight prospective teachers and 10 raters participated in the study. The raters gave their ratings according to five dimensions, namely general culture (GC), language (L), self-image (SI), hobbies (H) and attitude towards the teaching profession (ATTP) in two interviews (Interview 1 and Interview 2). The data were analysed using the Mann-Whitney U-test and Generalizability Theory. The results of the study show that there is no significant difference between the raters' ratings in each interview. The G coefficients were unacceptable for the GC and SI dimensions in Interview 1. In addition, the G coefficients were relatively low for the L, H, and ATTP dimensions in Interview 1 and all dimensions in Interview 2.
Enhancing Brain Tumor Classification: A CNN-Based Approach with InceptionV3 and Xception
Authors: Gawali Bhakti Shankar  , Prof. V. S. Dhongade
Published: May 2024

Brain tumors are among the most aggressive and deadly diseases, with a very short life expectancy at the highest grade. To combat this, early detection and treatment are crucial.In this approach, MRI images are used to analyze brain abnormalities. The manual investigation of brain tumor classification is a time-consuming task, and there might be possibilities of human errors. Hence, accurate analysis in a short span of time is essential. This approach presents the automatic brain tumor classification algorithm using a highly accurate Convolutional Neural Network (CNN), InceptionV3 and Xception algorithm for classification of Glioma, Meningioma and No tumor. The brain part is initially segmented by a thresholding approach followed by a morphological operation. The brain MRI is classified using CNN, Inceptionv3, and Xceptionv3 algorithms. The system's performance is evaluated using precision, recall, F1 score, and accuracy parameters.
Grocery Management System
Authors: Dr. P. U. Anitha  , K Meghana  , K Ramya  , K Soujanya  , G Vamshika  , Ch Suheeth
Published: May 2024

This Application builds a user-friendly grocery management system in Java. Users can create and manage shopping lists by adding items, adjusting quantities, and marking purchases. The system goes beyond basic lists by offering functionalities like item categorization (dairy, produce, etc.) and optional expiration date tracking. This allows for smarter planning by generating shopping lists based on low stock and expiring items. Additionally, the Java application can integrate with unit prices (optional) to estimate total grocery costs before heading to the store. This user-friendly system empowers individuals or families to streamline their grocery management, potentially saving time, money, and reducing food waste
Automatic Classification of Cervical Cells Using Deep Learning Methods
Authors: Sahana Reddy S  , Parvathi B  , Preeti Lokare  , D V Swetha Ramana
Published: May 2024

Cervical cancer, second only to breast cancer, is one of the cancers leading to cause death among women. Cervical cancer is a cancer that forms in the cells of the cervix, which is the lower section of the uterus that connects the uterus to the pelvis to the vaginal area. Various forms of the papilloma virus (HPV), a sexually transmitted infection that plays a role in cervical cancer and plays a critical part in most cases. The risk of cervical cancer developing can be reduced by undergoing screenings and receiving a vaccination that protects against HPV infection Cancer prevention is important. Most of the time, this is accomplished by checking the transformation zones. Cervical pre-cancerous stages can be observed in three different types, and all can transfigure into cancer. As a result, it's crucial to screen cervical anomalies sensibly and have a reliable process to determine if a cervix is normal (healthy) or pre-cancerous. Presently, the test being carried is a Pap smear test, commonly referred as a Pap test, which is a cervical screening procedure. It examines the cervix for the presence of pre - cancerous or cancerous cells. At present times deep learning is becoming more important alternative for cancer screening. A cervical cancer detection and classification system based on CNN has been proposed. Deep-learned features are acquired using the CNNs mode
The Role of Courtyard to Improve the Physical Environment of Inpatient Wards: A Case Study of Shaheed Suhrawardy Medical College Hospital, Dhaka, Bangladesh
Authors: Sarker Md. Monjur Kader , Begum Jasmin Ara , Hossain Mallik Akram
Published: May 2024

This research investigates the role of a courtyard to improve the physical environment of inpatient wards at Shaheed Suhrawardy Medical College Hospital, Dhaka, Bangladesh. The objective is to investigate the luminous, thermal and acoustic conditions and identify if courtyard has improved the ward’s physical environment. Both qualitative and quantitative survey have been conducted to measure the light, temperature, humidity, ventilation and sound among experimental group (wards beside courtyard) and control group (wards away from courtyard); and interviews from patients to get their experiences. The findings demonstrate that the presence of the courtyard positively influences wards’ physical environment. Patients also express higher levels of satisfaction with the courtyard. The wards beside courtyards have a higher level of light, ventilation rate and lower level of sound rate and the wards away from courtyard have a lower level of light, ventilation rate and higher level of sound rate. The outcome underscores the importance of incorporating nature into healthcare facilities and provide valuable insights for healthcare authorities to create patient-centered and sustainable healing environments in hospitals in context of Bangladesh.
Single Parent Parenting in Developing Social Emotional of 4-5 Years Old Children
Authors: Huda Firtia Husnul , Dea Leli Fertiliana , Utama Ferdian
Published: May 2024

Social emotional development is one of the important aspects of development that must be prioritized in learning in early childhood. The formulation of the problem in this study is How is single parent parenting in developing the social-emotional development of children aged 4-5 years at RA Bustanul 'Ulum Jayasakti Kec. Anak Tuha, Kab. Lampung Tengah? This study aims to explore and analyze single parent parenting patterns and their impact on the social emotional development of children aged 4-5 years at RA Bustanul 'Ulum Jayasakti. Using a qualitative approach through in-depth interviews with single parents and observations of children's behavior, this study attempts to describe the variations of parenting patterns applied and identify the developmental characteristics of children from this group. The results of the study highlighted the complexity of single-parent parenting that has an impact on the diverse social-emotional characters of children. The findings show that children from single parent families exhibit varied characteristics, such as different levels of independence, adaptability to the social environment, and responses to educational stimuli. Thus, this study not only makes a theoretical contribution to the literature on parenting and child development, but also has a significant practical impact in the context of early childhood education and care from single parent families.
Keywords: Parenting, Single Parent, Social Emotional
UROLITÍASE EM CÃES: ESTUDO DE CASO
Authors: Pereira Evelyn Manuela Nascimento , Donatilio Mariana Silvestre de Oliveira
Published: May 2024

A urolitíase canina é uma patologia que consiste no desenvolvimento de concreções policristalinas e, ocasionalmente, não cristalinas na parte interior do trato urinário, denominados de urólitos. Estas formações podem ocorrer devido a diversos fatores, tanto intrínsecos quanto extrínsecos ao organismo do indivíduo, como por exemplo o pH da urina ou a dieta deste animal. O objetivo primário do presente trabalho é apresentar os diferentes urólitos e o método cirúrgico de remoção destes. A metodologia envolverá pesquisas bibliográficas encontradas nas plataformas Google Acadêmico e livros disponibilizados pela Faculdade Serra Dourada, datados entre os anos 1996 e 2023, abordando um estudo de caso clínico obtido durante a rotina de estágio em clínica de pequenos animais. Problemas urinários são comuns na rotina clínica de pequenos animais, tendo muitas vezes que serem encaminhados para cirurgia, é possível notar que é essencial a sutura envaginada para garantir maior segurança ao paciente e conhecer os diferentes tipos de urólitos.
Examining the Eastern European heatwave of 2023 from a long-term perspective: the role of natural variability vs. anthropogenic factors
Authors: Ionita Monica , Vaideanu Petru , Antonescu Bogdan , Roibu Catalin , Ma Qiyun , Nagavciuc Viorica
Published: May 2024

Abstract. Amidst unprecedent rising global temperatures, this study investigates the historical context of heatwave (HW) events in Eastern Europe. The record-breaking 2023 summer, featuring a heatwave lasting for 19 days in the south-eastern part of Romania, extending up to Ukraine, necessitates a deeper understanding of past extreme events. Utilizing statistical methods on long-term station data spanning from 1885 to 2023, we aim to detect and analyze historical heatwaves, particularly focusing on events predating 1960. This extended timeframe allows for a more comprehensive assessment of noteworthy extremes compared to recent decades. Our analysis identifies two critical periods with increased heatwave frequency and intensity: 1920–1965 and 1980–2023, respectively, highlighting the most extreme events in August 1946, August 1952, July 2012, June 2019, and August 2023. Furthermore, reanalysis data shows that historical heatwaves, similar to the 2023 event, were associated with large-scale European heat extremes linked to high-pressure systems and they were accompanied by extreme drought, thus leading to compound extreme events. We find that while a clear trend emerges towards more frequent HWs from the 1980s onward, the analysis also uncovers substantial heatwave activity on daily timescales throughout the 1885–1960 period. Moreover, we highlight the intertwined impacts of climate change and multidecadal internal variability on heatwave patterns, with evidence suggesting that both contribute to the increasing frequency and intensity of these extreme events. Our research highlights the value of extending the historical record for a more nuanced understanding of heatwave behavior and suggests that extreme heat events, comparable to those experienced in recent decades, have occurred throughout the analyzed period.
Overdeepening or tunnel valley of the Aare glacier on the northern margin of the European Alps: Basins, riegels, and slot canyons
Authors: Schlunegger Fritz , Kissling Edi , Bandou Dimitri Tibo , Douillet Guilhem Amin , Mair David , Marti Urs , Reber Regina , Schläfli Patrick Fabian , Schwenk Michael Alfred
Published: May 2024

Abstract. This work summarizes the results of an interdisciplinary project where we aimed to explore the origin of overdeepenings or tunnel valleys through a combination of a gravimetry survey, drillings, dating and a synthesis of previously published work. To this end, we focused on the Bern area, Switzerland, situated on the northern margin of the European Alps. In this region, multiple advances of piedmont glaciers during the Quaternary glaciations resulted in the carving of the main overdeepening of the Aare River valley (referred to as Aare main overdeepening). This bedrock depression is tens of km long and up to several hundreds of meters to a few kilometers wide. We found that in the Bern area, this main overdeepening is made up of two >200 m-deep troughs that are separated by a c. 5 km-long and up to 150 m-high transverse rocky ridge, interpreted as a riegel. The basins and the riegel are overlain by a >200 m- and 100 m-thick succession of Quaternary sediments, respectively. The bedrock itself is made up of a Late Oligocene to Early Miocene suite of consolidated clastic deposits, which are part of the Molasse foreland basin, whereas the Quaternary suite comprises a middle Pleistocene to Holocene succession of glacio-lacustrine gravel, sand and mud. A synthesis of published gravimetry data revealed that the upstream stoss side of the bedrock riegel is c. 50 % flatter than the downstream lee side. In addition, information from >100 deep drillings reaching depths >50 m suggests that the bedrock riegel is dissected by an anastomosing network of slot canyons. We propose that these canyons established the hydrological connection between the upstream and downstream basins during their formation. Based on published modelling results, we interpret that the riegels and canyons were formed through incision of subglacial meltwater during a glacier’s decay state, when large volumes of meltwater were released. Such a situation has repeatedly occurred since the Middle Pleistocene Transition approximately 800 ka ago, when large and erosive piedmont glaciers began to advance far into the foreland. This resulted in the deep carving of the inner-Alpine valleys, and additionally in the formation of overdeepenings on the plateau on the northern margin of the Alps.
Evaluation of multi-season convection-permitting atmosphere – mixed-layer ocean simulations of the Maritime Continent
Authors: Howard Emma , Woolnough Steven , Klingaman Nicholas , Shipley Daniel , Sanchez Claudio , Peatman Simon C. , Birch Cathryn E. , Matthews Adrian J.
Published: May 2024

Abstract. A multi-season convection-permitting regional climate simulation of the Maritime Continent (MC) using the Met Office Unified Model (MetUM) with 2.2 km grid spacing is presented and evaluated. The simulations pioneer the use of atmosphere–ocean coupling with the multi-column K profile parametrisation (KPP) mixed-layer ocean model in atmospheric convection-permitting climate simulations. Comparisons are made against a convection-parametrised simulation in which it is nested and which in turn derives boundary conditions from the ERA5 reanalysis. This paper describes the configuration, performance of the mean state and variability in the two simulations compared against observational datasets. The models have both minor sea surface temperature (SST) and wet precipitation biases. The diurnal cycle, representation of equatorial waves, and relationship between SST and precipitation are all improved in the convection-permitting model compared to the convection-parametrised model. The Madden–Julian oscillation (MJO) is present in both models with a faster-than-observed propagation speed. However, it is unclear whether fidelity of the MJO simulation is inherent to the model or whether it predominantly arises from the forcing at the boundaries.
Snow Penetration Depth Inversion in Tibetan Plateau Based on Coherence Scattering Model with X-band Data
Authors: Deng Lihong , Peng Xing , Xie Qinghua , Zhou Yushan , Shen Lijun
Published: May 2024

Abstract. The snow penetration depth is a necessary input parameter to accurately evaluate the thickness and vertical structure of snow layer, which is conducive to understanding the freeze-thaw process of ice and snow and predicting the change of ice and snow mass balance. Interferometric Synthetic Aperture Radar (InSAR) exhibits great potential in estimating snow penetration depth due to the emission of microwave band and the ability of operating under all-day and all-weather conditions. In previous studies, the penetration depth of snow was obtained based on InSAR coherence, but the external factors such as temperature, humidity, topography, dielectric constant and so on also affect the penetration dept. In order to extract the penetration depth in detail, this paper this paper adopts a uniform volume model as the basis, introduces two parameters describing the physical properties of snow: the volume ambiguity height and the volumetric decorrelation. Then, the magnitude of volumetric decorrelation is used to establish the internal relationship between the magnitude and the volume ambiguity height to estimate the snow penetration depth. In order to verify the effectiveness and feasibility of this method, a TSX/TDX InSAR pair covering southeast Tibetan Plateau in 2012 is applied to estimate the snow penetration depth. And results indicate that X-band penetration depths range mainly between −2.753 meters and −4.589 meters with an average value of −3.671 meters m and standard deviation of 0.918 meters in snowy regions on the plateau.
Quality Inspection and Problem Analysis of Satellite Image Data in Land Use Survey
Authors: Dong Shuai , Lu Chenni , Gao Wenchao , Liu Chang , Bai Jin
Published: May 2024

Abstract. In order to improve the data quality of land use remote sensing monitoring images, this article introduces the process of generating satellite image data, elaborates on the content of satellite image data verification in land use remote sensing monitoring, and proposes quality issues and improvement measures for satellite image data. Taking the discovered satellite image data quality issues as an example, compared with quality inspection standards, it was found that the main problems in the results were projection parameter errors, image color distortion, image blurring, and position accuracy exceeding limits. It is recommended to check the above issues during the image production stage, analyze the reasons for exceeding the position accuracy limit, image distortion, and embossing, and provide relevant suggestions. Provided strong technical support for land use surveys.
Extracting building outlines based on convolutional neural networks using the property of linear connectivity
Authors: Emelyanov Anton , Knyaz Vladimir A. , Kniaz Vladimir V.
Published: May 2024

Abstract. For years, researchers have been developing an automated method that can replace humans by drawing the outlines of individual buildings in a vector format, which plays an important role in GIS creation, environmental monitoring, urban planning, population density estimation, and energy supply. There is no doubt that this is an extremely difficult task, not only because of the labor required to develop such a highly intelligent algorithm, but also because of the challenges posed by imperfect imaging conditions, different building structures, and the complexity of the background. One of the current challenges in extracting building outlines is to accurately recreate the polygonal boundaries of the building while extracting vectorized building masks as output for direct use in various applications. This work provides a comprehensive workflow for building extraction and improves the predicted area of buildings through boundary regularization. First, a convolutional neural network is used to train instance segmentation model, then regularization and vectorization processes are performed. The main difference from existing methods is a new regularization method based on the concepts of linear connectivity and convexity of a set of points. This approach can effectively identify and remove points that do not belong to the detected building but were incorrectly segmented by the algorithm. Based on the results of experiments, the algorithm showed a high level of efficiency, comparable to leading methods for extracting building boundaries as PolyWorld.
Real-time and Intelligent Moving Targets Tracking based on UAV Remote Sensing Video Camera and Brain-like Computing Chips
Authors: Hu Kun , Wu Yuxuan , Huang Mingyang , Wang Chen , Wu Haoheng , Cai Tianyu , Zhang Qingle , Wang Shichao , Li Bo
Published: May 2024

Abstract. Moving target tracking technology based on Unmanned Aerial Vehicles (UAV) is widely used in many fields such as automatic inspection and emergency response. The existing moving target tracking methods usually have the problems of large computation and low tracking efficiency. Limited by the computing power of the UAV platform, real-time tracking and analysis of multiple targets based on the video data collected by UAV platform is a difficult task. In this paper, we proposed a novel Target Specific Filtering Tracking with Memory (TSFMTrack) method designed for UAV-based real-time tracking tasks, which involves a Tracklet Filtering Module (TFM) for capturing object appearance features and a Tracklet Matching Module (TMM) for bounding box association in each frame. By experimental comparison with other State-Of-The-Art (SOTA) methods on popular MOT and UAV tracking datasets, the TSFMTrack have shown obvious advantages in accuracy, computational efficiency and reliability. Furthermore, we deployed the TSFMTrack on the brain-inspired chip Lynchip KA200, the experimental results have shown that the TSFMTrack is effective on edge computational platform and suitable for UAV real-time tracking tasks.
Retrieval algorithm of chlorophyll-a concentration for coastal waters based on ridge regression
Authors: Li Lei , Zhang Hongmei , Xiong Zhiling , Bao Yun
Published: May 2024

Abstract. In this paper, we use the multiple scattering near-infrared aerosol correction model of SeaDAS to execute the atmospheric correction for Terra/Aqua MODIS remote sensing data, and also use three standard operational chlorophyll-a concentration inversion algorithms built in SeaDAS, named OC2, OC3, and OC4, to carry out chlorophyll-a concentration inversion in the Yellow Sea and East China Sea. We validate the inversion results using in-situ measured chlorophyll-a concentration data collected from the Yellow Sea and East China Sea in 2003. The results show that the inversion results of OC3 and OC4 algorithm are significantly larger than in-situ measured values, and the results of the OC2 algorithm are closer to the measured values. In view of the shortcomings of these algorithms, we proposes a chlorophyll-a concentration inversion model based on ridge regression, and carry out chlorophyll-a concentration inversion test using MODIS images covering the Yellow Sea and East China Sea 2003. The results indicate that, the new inversion model can effectively overcome the deficiencies of OC2, OC3, and OC4 algorithms. The inversion model can effectively overcome the covariance problem of OC2, OC3 and OC4 algorithms on the multivariate linear regression model, and the model passed the F-test (F=25.893, p=0.000<0.05), the mean absolute percentage error (MAPE) between the inversion values and the in-situ measured values was 21.8%, the root mean squared error (RMSE) was 0.325, and the coefficient of determination (R2) was 0.847. The accuracy and the fit degree of the new model were significantly better than those of the OC2, OC3 and OC4 algorithms. Therefore, the chlorophyll-a concentration inversion model based on ridge regression can effectively invert the chlorophyll-a concentration in the offshore.