Comprehensive Environment Research Articles

İL ÖZEL İDARELERİNİN İŞ SAĞLIĞI VE GÜVENLİĞİ UYGULAMALARINDA İNSAN KAYNAKLI RİSKLERE YÖNELİK KÖK SEBEP MODELİ ÖNERİSİ

Special provincial administrations are autonomous institutions based on the efficiency and effectiveness of local public services, where the people of the region contribute more to the management and democratic elements find a more comprehensive development environment. Local services provided by private administrations directly affect human life.
 The aim of the study is to propose a root cause model for risks based on human factors in the occupational health and safety (OHS) practices of special provincial administrations. In the research, OHS practices in special provincial administrations were examined. In the section, the importance of OHS in special provincial administrations, the causes of occupational accidents and occupational diseases, and the measures that can be taken to prevent occupational accidents and occupational diseases are included.
 The research was conducted on employees of special provincial administrations. While the population of the research consists of 11,463 people working in special provincial administrations, the sample was determined as 372 people with a confidence level of 0.95 and a margin of error of 0.05, and the study was conducted with 372 people. SPSS 22.00 was used to analyze the research data. Independent sample t-test was used to compare independent pairs of groups, and one-way variance test was used to compare three or more independent groups. In the study conducted on human-induced risks, OHS practices scores were compared according to the demographic information of the participants, and the relationship between the sub-dimensions and the root cause were examined. The direct and indirect effects of the root problem and cause factor on work accidents were examined. In addition, a root cause analysis was made in the research and a model proposal was made for human-induced. 
 Keywords: Occupational Health and Safety, Special Provincial Administrations, Occupational Accident

Bridging the Gap: Enhancing Modern Anatomy Education Through Mental Rotation Training and 3D Technological Integration

Mental rotation is a crucial cognitive skill for understanding spatial relationships and three-dimensional aspects, especially in the study of anatomy. However, students with limited mental rotation abilities often face challenges when translating two-dimensional anatomical depictions into three-dimensional mental models. This article explores the impact of mental rotation skills on anatomy learning and proposes strategies to enhance these skills. It discusses the limitations of traditional and digital resources and introduces the concept of Stereoscopic 3D visualization technology (3DVT) and clay-based modeling (CBM) as effective teaching methods. Additionally, the article emphasizes the importance of pre-assessing students’ visual-spatial abilities and integrating a variety of teaching tools to create a comprehensive and enriched learning environment in anatomy education.

Quantifying the coupling coordination effect between the prefabricated building industry and its external comprehensive environment in China

Rapid urbanization poses significant challenges for upgrading traditional construction mode to industrialization in China. The prefabricated construction industry has emerged as a crucial trend for future industry reform. However, as an innovative construction mode, its coupling coordination phenomenon with the external comprehensive environment is still unclear. To clarify its interaction relationships, this study aims to quantitatively evaluate the level of coupling coordination between the prefabricated building industry and its external comprehensive environment (P & E systems). Based on the panel data from 31 provincial-level administrative regions of China in 2019, an integrated entropy-variation coefficient method was adopted to establish a comprehensive P & E assessment (CPEA) indicators system with weights. A coupling coordination degree assessment (CCDA) model was subsequently developed to assess the internal interaction between the P & E systems quantitatively. Results show 1) The nationwide prefabricated industry development and its external comprehensive environment were not optimistic, except for Jiangsu. 2) The coupling coordination degrees (Ts) gradually decreased from coastal to central and inland regions. 3) The primary driver of prefabricated building industry growth has been the foundations of traditional construction industries, with substantial untapped potential for technological advancements and policy. This study not only riches the comprehensive assessment system of coupling coordination between the prefabricated building industry and its external environment, but also offers valuable insights for formulating phased and sustainable strategic objectives for its industrial development in the future.

Bilingual Teaching Environment Creation and Multi-Attribute Teaching Decisions

With the continuous advancement of globalization, bilingual teaching has become an important component of the educational field. However, existing research methods have certain shortcomings in creating a language environment conducive to bilingual teaching and making multi-attribute teaching decisions. To solve this problem, this study conducted detailed research in three aspects. First, bilingual teaching environment creation schemes and their attribute characteristics were discussed, aiming to establish a more comprehensive and systematic language environment model. Second, evaluation indexes for the schemes were selected and weighted, aiming to establish a scientific and reasonable evaluation system. Finally, the specific implementation steps of the multi-attribute teaching decision model were elaborated, providing a comprehensive decision framework. This study not only contributes to the theoretical development of bilingual teaching but also provides a valuable reference for educational practice.

Exploring Methodological Approaches in Secondary Education in Castellón, Spain: A Comparative Analysis of Traditional, Blended, and Innovative Teaching

The traditional model of teaching-learning process, concerned with the knowledge acquisition within the confines of a classroom, has long prioritised exam preparation and measurable academic success through standardised tests. In contrast, hybrid education integrates in-person teaching with online learning, leveraging Information and Communication Technologies (ICTs) in order to create adaptable and comprehensive learning environments. This paradigm shift acknowledges students individuality, tailoring instruction to their unique learning needs. This research investigated the methodologies employed by secondary education instructors in the province of Castellón (Valencia, Spain), drawing insights from the experiences of 45 master's students specialising in Language and Literature and Language Teaching. Participants were prompted to share their experiences, focusing on identifying whether their supervisors utilised traditional, hybrid, or innovative teaching methodologies. The Padlet platform was employed in the research to collect qualitative data through open-ended responses, providing a rich source of information on the teaching and learning processes observed during 200-hours of internship. Data analysis revealed intriguing insights into the methodologies employed by supervisors. The results indicated a spectrum of teaching methodologies in Castellón's secondary schools, emphasising the importance of considering both traditional and hybrid approaches, while also promoting innovation in educational practices. In conclusion, the findings not only offered a picture of current teaching methods but also provided valuable insights for future discussions on curriculum development, teacher training, and the overall enhancement of the teaching-learning experience.

Contemporary Dance: Examining Limitations and Expanding Pedagogy

This article examines limitations of teaching contemporary dance through a Eurocentric lens and proposes an expansive approach to contemporary dance pedagogy that honors students’ experiences in multiple dance forms and cultures. I question the Western pedagogy of contemporary dance and problematize the use of ballet pedagogy as a foundation of contemporary dance class. I document lived experiences and reference established approaches to provide a pedagogic framework that acknowledges differences and creates a comprehensive learning environment.

Assessing a measure of organizational environment among Indigenous child welfare agencies

BackgroundOrganizational environment is an important construct for child welfare agencies striving to support agency workers and provide the best care possible for their clients. Many assessments of organizational environment present difficulties for child welfare agencies, as they are often proprietary, costly, and may not fully cover important dimensions of organizational functioning. The Comprehensive Organizational Health Assessment (COHA) is a freely available assessment of organizational health that has been used in child welfare settings, but has not yet been tested with Indigenous child welfare agencies in Canada. ObjectiveThe aim of this article is to discuss the development and testing of a modified version of the COHA, the Comprehensive Organizational Environment Assessment (COEA). MethodsThe COEA was developed based on an extensive literature review, input from child welfare researchers, and guidance from an anti-colonial practitioner and community liaison. The COEA was completed by workers from three Indigenous child welfare agencies in Canada ResultsThe COEA was further refined and internal consistency was examined using polychoric correlations and ordinal alpha. The COEA showed strong internal consistency and convergent validity across select scales. ConclusionsThis study highlights the use of polychoric correlations and ordinal alpha when examining the reliability and validity of ordinal-level items. Findings can be used to better understand the assessment of organizational environment for Indigenous child welfare agencies.

Impact of resilience-based intervention on emotional regulation, grit and life satisfaction among female Egyptian and Saudi nursing students: A randomized controlled trial

AimEvaluate and compare the impact of a resilience-based intervention on emotional regulation, grit and life satisfaction among female Egyptian and Saudi nursing students. BackgroundNursing students should experience a comprehensive learning environment since they are mind-body-spirit creatures. Therefore, nursing education should emphasize growing students' physical, social, emotional and spiritual well-being in addition to their knowledge, skills and attitudes. DesignThis study followed a parallel arm randomized controlled trial design. Study participants were randomly assigned to the intervention or control groups in a (1:1) ratio. It was conducted between January 2023 and the end of April 2023. MethodStudents were randomly allocated to the eight-week resilience intervention (n= 60) or a control (n= 60) group (half of the students in each group were from each country). The intervention group received a pamphlet and attended eight weekly 15-person sessions on resilience, grit (perseverance), emotional regulation and self-care. The Emotion Regulation Questionnaire, the Short Grit Scale and the Satisfaction with Life Scales were administered pre- and immediately post-intervention. ResultsBetween pre- and post-intervention, there were significant improvements in grit (from 41.374.27 to 51.235.22 among Egyptian students with an effect size of 0.663 and from 42.974.30 to 54.103.87 among Saudi students with an effect size of 0.800), as well as mean emotional regulation (from 36.635.11 to 55.707.51 among Egyptian students with an effect size of 0.818 and from 44.606.87 to 61. With a substantial effect size of 0.850 (p0.001), Egyptian nursing students experienced a more significant rise in mean life satisfaction than Saudi nursing students (18.336.54 to 29.305.14). ConclusionResilience-based interventions enhanced emotional regulation, grit and life satisfaction in Egyptian and Saudi female nursing students. Grit, resilience and emotional regulation should be incorporated into nurse training to equip female students with the necessary values and protective factors to succeed in their studies.Given the unique challenges and stressors that female nursing students may face, nursing programs and institutions must provide resources and support services to help students manage stress and build resilience.

A MACHINE LEARNING APPROACH FOR INTRUSION DETECTION

In the rapidly evolving digital landscape, ensuring the security of computer systems and networks has become a paramount concern. Traditional methods often struggle to keep pace with the increasing complexity and diversity of cyber threats. In the context of cybersecurity and network analysis, the crucial tools for identifying and responding to unauthorized access, malicious activities, and potential threats within a network or system cannot take place. The significance of intrusion detection is underscored by the escalating frequency and sophistication of cyberattacks that can lead to data breaches, service disruptions, and financial losses. The XGBoost algorithms ability to handle complex, imbalanced datasets and its exceptional performance in various domains make it a promising candidate for improving intrusion detection accuracy. To evaluate the efficacy of the XGBoost algorithm, extensive experiments are conducted using the KDDCup99 dataset. This dataset represents diverse network traffic scenarios and intrusion types, providing a comprehensive evaluation environment. The Random Forest algorithm, known for its robustness in handling classification tasks, is selected as a baseline for comparison. The performance of the XGBoost algorithm is assessed using multiple performance metrics, including accuracy, precision, recall, F1-score. The outcomes highlight the potential advantages of utilizing XGBoost for intrusion detection. KEYWORDS: Cybersecurity, Network Analysis, Intrusion Detection, XGBoost Algorithm, Random Forest Algorithm, KDDCup99 Dataset.

Association of living condition using urbanisation level and neighbourhood deprivation with loneliness and social isolation during COVID-19 pandemic: a cross-sectional study of the nationwide data in Japan

ObjectivesThe aim of this study was to investigate the association of living condition (deprivation and urbanisation level) with loneliness and social isolation.Study designCross-sectional study.MethodsData were retrieved from the Japan COVID-19...

Designing comprehensive and politically feasible food environment policy: the promise of packaging

Abstract Policy packaging has been identified as a promising approach to increase public support for effective and comprehensive policymaking by bundling measures that are unpopular from a behavioral and/or fiscal perspective with those that are popular; however, this potential has yet to be examined for improving food environments to promote healthy diets. We examine public preferences for a policy packaging approach amongst eligible voters in Germany (N. 1,200), as well as which policy design and voter characteristics underpin said preferences, via a survey-embedded conjoint experiment. Policy package attributes are drawn from recommended measures for improving food environments in Germany based on the INFORMAS Food-EPI assessment. We examine three inclinations towards policy packaging: those who are (1) resistant, (2) inclined, but sensitive to the design, and (3) enthusiastic, irrespective of design. We use linear and logistic regression models to examine the effect of policy design attributes and voter characteristics on policy package support inclinations. Most voters (73%) were inclined towards policy packaging, but sensitive to package design. We found that ‘costly’ measures - I.e., those that restricted or disincentivized unhealthy behaviors - were generally less popular than ‘compensatory’ ones - I.e., those that enabled or incentivized healthy behaviors - in policy packages; however, most participants preferred some combination of both. Participant beliefs regarding the topic of food environment policymaking predicted packaging preferences more so than any socio-demographic, political, or health characteristic. Packaging policy measures together, particularly those with counteracting effects across behavioral and fiscal axes, allows for more comprehensive and politically feasible policymaking to improve food environments. Enhancing science communication on environmental drivers of food choices is vital to bolster support for food environment policy packages. . Key messages • There is an appetite amongst voters for improving food environments that extends beyond the adoption of single measures, and rather towards a policy packaging approach. • Communication that fosters a paradigm shift towards acknowledging environmental influences on diet and health would be vital for fostering support for comprehensive food environment policy packages.

Task of the state economic and legal policy in the field of innovative investment

The article is aimed at studying the issues of formation and implementation of the State policy in the field of innovative investment. The author analyzes the doctrinal sources which study these issues and draws a conclusion as to the main directions of development and implementation of such policy, and also identifies its main tasks. The author analyzes the insufficient legal institutionalization of the concept of «state policy» in the economic and legal sphere. The role of conceptual aspects of economic and legal policy based on the principles of constitutional economic order and scientifically sound doctrine is investigated. The necessity of state support for innovation and investment growth is emphasized.
 The importance of defining the tasks of economic and legal policy in the field of innovative investment is highlighted. The key arguments are noted: 1) definition of tasks helps to avoid dispersion of resources and directs them to specific goals; 2) creation of a transparent environment promotes investment attraction and growth of innovation potential; 3) constant adaptation to changes in the economic and technological environment; 4) the possibility of monitoring and evaluation of policy effectiveness. Defining the tasks of economic and legal policy in the field of innovative investment contributes to balanced development and achievement of positive results. It is concluded that improvement of the regulatory framework of investment and innovation legislation is necessary to ensure balanced development. Defining the objectives of economic and legal policy in the field of innovative investment is key, as it stimulates the achievement of specific goals, contributes to the creation of a favorable environment, etc. These aspects emphasize the need to develop and adopt the Law of Ukraine «On Innovative Investment» and to create a comprehensive legal environment to ensure the effective implementation of the activities under consideration.

The impact of Communicative Language Teaching (CLT) Approach on Students’ Speaking Ability in a Public Indonesian University: Comparison between Introverts and Extrovert Groups

The aim of this research is to explore the effect of implementing the Communicative Language Teaching (CLT) Approach on the speaking ability of students-. The sample size for this study comprises 46 students representing the introvert class and the extrovert class, selected based on the results obtained from the distribution of questionnaires. To conduct the study, an experimental design was employed, which involved gathering quantitative data from the students' responses to the distributed questionnaire, as well as conducting pre-tests and post-tests to assess their speaking abilities. In order to analyze the collected data, the researcher utilized the SPSS program (Statistical Program for Social Science) for precise and efficient processing, generating various necessary outputs to draw meaningful conclusions. The findings of this study strongly indicate a positive impact of implementing the Communicative Language Teaching (CLT) model on the speaking abilities of introverted students. The results not only demonstrate the effectiveness of CLT in the speaking class but also align with previous research in the field. the incorporation of CLT in the speaking class positively impacts the speaking abilities of both introverted and extroverted students. However, a slight distinction can be observed in terms of the extent of improvement between the two groups, with the extrovert class showing a more notable progress. Recognizing and accommodating the diverse learning styles and preferences of students can help create a comprehensive and inclusive learning environment that fosters growth and development for all learners, regardless of their personality traits

Hypermedia-based software architecture enables Test-Driven Development.

Using agile software development practices, develop and evaluate an architecture and implementation for reliable and user-friendly self-service management of bioinformatic data stored in the cloud. Comprehensive Oncology Research Environment (CORE) Browser is a new open-source web application for cancer researchers to manage sequencing data organized in a flexible format in Amazon Simple Storage Service (S3) buckets. It has a microservices- and hypermedia-based architecture, which we integrated with Test-Driven Development (TDD), the iterative writing of computable specifications for how software should work prior to development. Relying on repeating patterns found in hypermedia-based architectures, we hypothesized that hypermedia would permit developing test "templates" that can be parameterized and executed for each microservice, maximizing code coverage while minimizing effort. After one-and-a-half years of development, the CORE Browser backend had 121 test templates and 875 custom tests that were parameterized and executed 3031 times, providing 78% code coverage. Architecting to permit test reuse through a hypermedia approach was a key success factor for our testing efforts. CORE Browser's application of hypermedia and TDD illustrates one way to integrate software engineering methods into data-intensive networked applications. Separating bioinformatic data management from analysis distinguishes this platform from others in bioinformatics and may provide stable data management while permitting analysis methods to advance more rapidly. Software engineering practices are underutilized in informatics. Similar informatics projects will more likely succeed through application of good architecture and automated testing. Our approach is broadly applicable to data management tools involving cloud data storage.

Mitigating emotional risks in human-social robot interactions through virtual interactive environment indication

Humans often unconsciously perceive social robots involved in their lives as partners rather than mere tools, imbuing them with qualities of companionship. This anthropomorphization can lead to a spectrum of emotional risks, such as deception, disappointment, and reverse manipulation, that existing approaches struggle to address effectively. In this paper, we argue that a Virtual Interactive Environment (VIE) exists between humans and social robots, which plays a crucial role and demands necessary consideration and clarification in order to mitigate potential emotional risks. By analyzing the relational nature of human-social robot interaction, we discuss the connotation of such a virtual interactive environment that is similar to the emotional states aroused when reading novels. Building on this comprehension, we further demonstrate that manufacturers should carry out comprehensive Virtual Interactive Environment Indication (VIEI) measures during human-social robot interaction with a stricter sense of responsibility when applying social robots. Finally, we contemplate the potential contributions of virtual interactive environment indication to existing robot ethics guidelines.

E-Learning in the Postpandemic Era: A Case Study in Taiwan

The COVID-19 pandemic is pressing educational institutions across the globe to transfer rapidly from face-to-face learning to e-learning. However, e-learning has some multifaceted problems waiting to be solved and optimized. This study uses a survey questionnaire to collect research data. By integrating two predictors and four moderators into expectation-confirmation model, this article develops a causal research model and studies the continuance intention of using e-learning after the pandemic and how we can optimize online learning systems to benefit the traditional education systems in the long term. This article fills the literature gap of studies on IS continuance intention of e-learning from a problem-driven perspective. Based on the research results, this article suggests policy-makers and educators not only develop continuous training for both instructors and students on e-learning to enhance their ability and acceptance of e-learning systems but also build a more comprehensive technical environment to accelerate the adoption as well as to increase the continuance usage intention of e-learning systems. In addition, high-quality educational designs of e-learning that contain interaction mechanisms and customizations according to students’ perceptions and attitudes toward e-learning are needed. We also call on scholars from around the globe to continue investigating the critical factors of e-learning adaptation and online educational environment optimization for proposing better solutions to counter crises similar to the COVID-19 pandemic in the future.

New ethnographic perspective on relational ethics in the field of Artificial intelligence

This article was created on the wave of the ubiquitous and already-saturated topic of ethics in the field of artificial intelligence. We were motivated by the proliferation of rules within this field and by a posthumanism critique of this topic. We attempt to nurture a new research platform for a social science analysis of the “How of ethics” issue by providing an argument for the study of algorithms and ethical issues by expanding the usability of the concept of niche construction and environmental perspectives in ethnographic studies. From a design perspective, this means expanding the quest related to the ethical matter by intensifying the inquiry in a design that includes not just the design process but also a more comprehensive environment. Inspired by current trends in evolutionary anthropology, science studies, and the philosophy of science, we are in line with approaches that reaffirm ethical issues from standpoint theory in the current scientific debate about trust in science. The results of our historical perspective on the issue of value neutrality point out that the position where the tool is not neutral does not mean that it is biased but that it is deeply involved in the network of relationships that influence it to be biased, and that threatens its autonomy. By providing argumentation based on the issue of ethics, we have nurtured the so-called ecology of practice and connoisseurs as a new practice and perspective that ethnography can take on the issue of accountable, ethical, and trustable science.

A dataset of surface water environment characteristics of typical small watersheds in central Sichuan Hilly Region (2005–2019)

Based on the long-term routine monitoring of surface water environmental status of typical small watershed in the central hilly region of Sichuan Province by Yanting Station, we compiled a the dataset of surface water environmental characteristics of typical small watersheds in central Sichuan Hilly Region from 2005 to 2019, involving four monitoring sites in typical small catchments located in the upper of small catchment pond, the midstream ditch, field surface and the weir at the outlet of the catchment. From 2005 to 2006, water samples were collected at regular intervals of once every three months; starting from 2007 to 2009, water samples from August and September were specifically added; from 2010 to 2019, the sampling frequency increased to once a month, with water samples collected specifically on the 20th day of each month. The data include 16 physical and chemical indicators reflecting the surface water environment, namely pH, TN, TP, TDS, EC, CODcr, Ca2+, Mg2+, K+, Na+, CO32- , HCO3- , Cl-, SO42- , PO43- and NO3- . The monitoring sample layout, water sample collection process, laboratory analysis and data analysis were carried out in accordance with the specifications and standards required by the China Ecosystem Research Network (CERN) and the National Science and Technology Basic Platform. The data are of reliable quality and comparable with similar data collected from other field stations on the network. The dataset can provide important data support for environmental science research, ecologically clean small watersheds and comprehensive water environment evaluation, management and planning.

An analytical study on the design and implementation of a comprehensive web-based learning environment for Chinese as a foreign language

An analytical study on the design and implementation of a comprehensive web-based learning environment for Chinese as a foreign language

Research on Scenario Modeling for V-Tail Fixed-Wing UAV Dynamic Obstacle Avoidance

With the advantages of long-range flight and high payload capacity, large fixed-wing UAVs are often used in anti-terrorism missions, disaster surveillance, and emergency supply delivery. In the existing research, there is little research on the 3D model design of the V-tail fixed-wing UAV and 3D flight environment modeling. The study focuses on designing a comprehensive simulation environment using Gazebo and ROS, referencing existing large fixed-wing UAVs, to design a V-tail aircraft, incorporating realistic aircraft dynamics, aerodynamics, and flight controls. Additionally, we present a simulation environment modeling approach tailored for obstacle avoidance in no-fly zones, and have created a 3D flight environment in Gazebo, generating a large-scale terrain map based on the original grayscale heightmap. This terrain map is used to simulate potential mountainous terrain threats that a fixed-wing UAV might encounter during mission execution. We have also introduced wind disturbances and other specific no-fly zones. We integrated the V-tail fixed-wing aircraft model into the 3D flight environment in Gazebo and designed PID controllers to stabilize the aircraft’s flight attitude.