Environmental Influences Research Articles

Investigation the Influence of Job Satisfaction as a Mediating Factor in the Relationship Between Transformational Leadership, Knowledge, Knowledge Management, Work Environment and Employee Performance

Objective: This research aims to assess job satisfaction's mediating role between transformational leadership (TL), work environment (WE), knowledge management (KM) practices, and employee performance (EP) by investigating TL's and WE's impact on job satisfaction, and examining how job satisfaction mediates the relationships between TL, KM practices, and EP. Theoretical Framework: The theoretical framework examines key factors affecting employee performance and organizational success. It highlights task and contextual performance, environmental influences, and the role of performance appraisals. Effective human resource practices, knowledge management, and transformational leadership are essential for high performance. Job satisfaction, influenced by knowledge management and leadership, enhances organizational success. Method: This quantitative study investigates the relationships among transformational leadership (TL), work environment (WE), job satisfaction (JS), knowledge management (KM) practices, and employee performance (EP). Data from 411 Thai-speaking participants are analyzed using structural equation modeling (SEM). The study employs validated questionnaires, a 5-point Likert scale, and ADANCO software to assess model fit, reliability, and validity. Results: The sample predominantly comprised females (64.7%) and individuals with bachelor’s degrees (59.12%), with 31.87% employed in companies and 41.12% earning between 30,001 and 50,000 baht. Descriptive analysis revealed strong positive perceptions of KM, TL, WE, JS, and EP, with mean scores between 4.74 and 4.87, underscoring the focus on EP. Structural equation modeling (SEM) identified significant relationships between KM and JS (0.0277), TL and JS (0.0533), WE and JS (0.1720), and JS and EP (0.4721). JS emerged as a key mediator between KM, TL, and WE, accounting for substantial variance in both JS and EP, reflected by R² values of 0.0385 and 0.3283. Although the KM-JS and TL-JS relationships were relatively weak, JS significantly influenced EP. The study advocates for enhancing KM, TL, and WE to improve JS and EP, while recommending future research to investigate moderating factors, longitudinal designs, and cross-cultural contexts. Research Implications: The study reveals critical insights into job satisfaction (JS) as a mediator between transformational leadership (TL), knowledge management (KM), work environment (WE), and employee performance (EP): TL significantly influences KM and WE, while effective KM enhances EP. JS mediates the positive effects of TL, KM, and WE on EP, though moderate correlations suggest other influencing factors. The research emphasizes contextual nuances within Thai organizations, underscoring the complexity of these relationships and the need for further investigation to fully understand their organizational implications. Originality/Value: This study offers innovative insights into the interactions among Knowledge Management (KM), Transformational Leadership (TL), Work Environment (WE), Job Satisfaction (JS), and Employee Performance (EP) in Thai organizations. It identifies JS as a key mediator in the effects of KM, TL, and WE on EP, deepening the understanding of organizational dynamics. Moderate correlations between KM and JS, and TL and JS, suggest additional moderating factors. The pivotal role of JS in determining EP emphasizes the need for organizations to enhance JS to improve performance. The study's focus on Thai organizations highlights cultural and contextual influences, bridging local practices with broader theoretical frameworks. Further investigation is needed to fully understand these complex dynamics.

Genetics, age, and diet influence gut bacterial communities and performance of black soldier fly larvae (Hermetia illucens)

BackgroundThe gut microbiota of black soldier fly larvae (BSFL, Hermetia illucens) play a crucial role in recycling various organic waste streams. This capability is linked to the presence of a potential common core microbiota in BSFL. However, subjective thresholds for defining core taxa and the difficulty of separating genetic and environmental influences have prevented a clear consensus in the literature. We analysed the gut bacterial communities of two genetically distinct BSF lines (wild type (WT) and lab-adapted line (LD)) raised on ten different diets based on common agricultural by-products and food waste in Southeast Asia.ResultsHigh-throughput 16S rRNA gene sequencing revealed that gut bacterial communities were significantly influenced by genetics (p = 0.001), diet (plant/meat-dominated; p = 0.001), larval age (p = 0.001), and the interactions between all three (p = 0.002). This led us to investigate both common core taxa and lineage-specific core taxa. At a strict > 97% prevalence threshold, four core taxa were identified: Providencia_A_732258, an unclassified genus within the family Enterococcaceae, Morganella, and Enterococcus_H_360604. A relaxed threshold (> 80% prevalence) extended the core to include other potential common core taxa such as Klebsiella, Proteus, and Scrofimicrobium. Our data suggest that Proteus, Scrofimicrobium, Corynebacterium, Vagococcus_B, Lysinibacillus_304693 (all LD), and Paenibacillus_J_366884 (WT) are lineage-specific rather than members of a common core (> 90% prevalence in either LD or WT, with prevalence significantly different between lines (p ≤ 0.05)). Positive correlations were observed between several core genera and larval performance in LD, typical of a highly optimized lab-adapted line. Interestingly, only members of the genus Providencia appeared to play a crucial role in most aspects of larval performance in both genetic lineages.ConclusionOur study demonstrates that the gut microbiota of BSFL is influenced by genetic factors, diet composition, larval age, and their interactions. We identified a distinct lineage-specific core microbiota, emphasizing genetic background’s role. Future studies should apply a standardized high prevalence threshold of at least > 90% unless there is a valid reason for relaxation or sample exclusion. The consistent association of Providencia spp. with larval performance across both genetic lines highlights their crucial role in the BSFL gut ecosystem.

텍스트 마이닝을 활용한 국내 기본심리욕구 연구 동향 분석

Objectives The purpose of this study is to examine research trends related to basic psychological needs in Korea and identify major research topics and trends. Methods To this end, we analyzed 327 academic papers related to basic psychological needs, which were more than candidates for KCI registration published on the Academic Research Information Service. The data was preprocessed through an R program, and the results of keyword frequency analysis were visualized in a word cloud, and analyzed by topic modeling. Results First, according to the literature status, 327 journals have been published in 106 societies, including the Learner-Centered Curriculum Education Association and the Korean Youth Association. Second, in keyword frequency analysis, terms such as basic psychology, desire, research, relationship, influence, mediation, analysis, autonomy, effectiveness, satisfaction, and competence appeared as top words. Third, topic modeling results were categorized by effects on individual psychological well-being, research methods, relationships with elementary school students and psychological well-being, the influence of young people's home and school environments, the mental health of college students, and relationships with stressors in modern society. Conclusions This study is significant in that it identified the characteristics of basic psychological needs research trends in Korea by applying text mining techniques to a vast amount of information on basic psychological needs, and it can be used as useful basic data for setting the direction of basic psychological needs research and selecting research topics in the future.

Influence of hydrocarbon environment on electrical characteristics of Ge-As-Se-S chalcogenide glass system

The effect of propane-butane gas mixture on volt-Ampere characteristic (VAX) of thin–layer sandwich structure Al-Ge33As17S35Se15-Te obtained by thermal evaporation method in vacuum was investigated. It has been established that under the influence of gas atoms, the oscillations observed in VAX gradually decrease and disappear. This result is explained by the accumulation of neutral gas atoms into lower atomar pores. It has been shown that neutral gas atoms collected in pores lead to weakening of thermal-field ionization processes of U--centers, and to increase the speed of periodic deflection of charge carriers by these centers, which leads to an increase in the resistance of the sample.

Thermal Comfort and Restorative Benefits of Waterfront Green Spaces for College Students in Hot and Humid Regions

Global climate change presents a serious threat to the sustainable development of human society, highlighting the urgent need to develop effective adaptation strategies to mitigate the impact of climate-related disasters. Campus waterfront green spaces, integral to the blue-green infrastructure, have been demonstrated to facilitate stress recovery. However, in hot and humid regions, severe outdoor thermal conditions may impair students’ mental and physical health and cognitive function, leading to symptoms such as increased stress, anxiety, and depression. This study examined the influence of outdoor thermal environments on health recovery by selecting three different waterfront green spaces in this climate: Space A (medium water body, sky view factor (SVF) = 0.228), Space B (large water body, SVF = 0.808), and Space C (small water body, SVF = 0.292). The volunteers’ thermal comfort and the restorative benefits of these spaces were evaluated via the perceived restorativeness scale (PRS), heart rate (HR), and electrodermal activity (EDA). We found variations in the neutral physiological equivalent temperature (PET) across the spaces, with values of 28.1 °C (A), 28.9 °C (B), and 29.1 °C (C). The lowest skin conductance recovery rate (RSC) at 0.8811 was observed in Space B, suggesting suboptimal physiological recovery, despite higher scores in psychological recovery (fascination) at 15.23. The level of thermal comfort in this hot and humid region showed a negative correlation with the overall PRS score, the “being away” dimension, and heart rate recovery (RHR). At a lightly warm stress level, where PET increased from 31.0 to 35.7 °C, RSC peaked between 1.45 and 1.53 across all spaces. These insights provide guidance for urban designers and planners in creating waterfront green space designs that can improve the urban microclimate and promote thermal health, achieving sustainable health.

Cutting Edge Nanoplatforms with Smart Bio-sensing Applications: Paving the Way for Sustainable Green Approaches

Abstract: In the era of automation, sustainable technologies employing eco-friendly materials and manufacturing techniques such as ‘Green nanobiosensors’ have taken centre stage, owing to their opulent portfolio encompassing renewable fabrication and design from biomaterials, biocompatibility, and ease of functionalization. Generally, sensors utilize nanomaterials sourced from renewable resources or with minimal environmental impact, such as cellulose nanocrystals, chitosan, and biopolymers, owing to their exceptional properties such as high surface area. With the advent of environmentally conscious attributes in the cutting-edge nano biosensing technology, green nano-biosensors offer innovative avenues for sensitive and selective detection and monitoring of myriad analytes with minimal environmental repercussions. Further, such sensors operate at low energy levels, contributing to reduced energy consumption, and can be mass-produced with minimal environmental influence. The present outlay of literature aims to decipher the utilization of eco-friendly materials and sustainable manufacturing techniques in creating nano-biosensors and subsequently promulgating their advantages in terms of energy efficiency, low environmental impact, and use of renewable resources. Furthermore, this study embellishes a comprehensive framework that delineates the diverse applications of these green nanobiosensors as eco-friendly technological solutions across diverse sectors primarily agriculture, environmental monitoring, and biomedicine, showcasing their potential to revolutionize these domains while minimizing environmental impact.

Dynamics of Perceptions among Self-Employed Business Owners on Tax Collection Models in Tanzania.

Tax compliance issues among self-employed business owners in Tanzania arise from complex and inequitable tax models, exacerbated by inconsistent enforcement and poor policy communication. This study investigates the dynamics of tax collection models in Tanzania, focusing on the perceptions of self-employed business owners across key regions, including Tanga, Dodoma, Arusha, and Mbeya. Drawing on findings from the TAPACO research project, the research employs a mixed-methods approach grounded in pragmatism a philosophy that emphasizes practical solutions. The sample size consists of 150 participants, with data gathered through structured questionnaires and semi-structured interviews representing various sectors within these regions. Entrepreneurial theories such as the Entrepreneurial Orientation (EO) Theory, Resource-Based View (RBV), and Theory of Entrepreneurial Alertness are utilized to frame the analysis of how self-employed business owners perceive tax estimates, bylaws, policies, the regulatory framework, and the tax collection environment. EO Theory explores how entrepreneurs’ risk-taking behaviors and reactivity to changes in the tax environment influence compliance decisions, The RBV examines how entrepreneurs strategically utilize their resources, particularly in making decisions about tax payments and investments in compliance technologies like Electronic Fiscal Devices (EFDs). The findings indicate that self-employed business owners in Tanzania face significant challenges with tax compliance, driven by inaccuracies in tax assessments, corruption within tax enforcement agencies, and a lack of training and infrastructure for adopting Electronic Fiscal Devices (EFDs). These factors, combined with poor communication of tax policies and regulations, have resulted in widespread non-compliance. The study concludes that effective tax compliance strategies must consider the entrepreneurial behaviors influenced by resource availability, risk tolerance, and alertness to regulatory changes. The study recommends strengthening anti-corruption frameworks within tax enforcement agencies, including regular audits, ethical training for task force members, and protections for whistleblowers. Transparency in tax collection operations is essential for rebuilding trust and encouraging voluntary compliance.

Research and development of automation subroutine for forecasting the number and load of cargo vehicles depending on the stochastic formation of dangerous goods collection centers

The issues of forecasting the load of vehicles, route networks, formation of collection centers for cargo flows, including dangerous goods, in territorial planning systems determine the need for transition from deterministic models to dynamic models with the possibility of taking into account the influence of the external environment. Existing information transportation systems in the sphere of work with dangerous goods are based on deterministic models and allow to study the problems of forecasting changes to a limited extent. Models of routing networks construction on cargo vehicles are limitedly applicable when there is a task of dangerous goods transportation taking into account the presence of a distributed system of accumulation centers both in the city and, for example, within a large transport hub, seaport with different terminals. The paper presents routing models adapted to the conditions of dangerous goods transportation. Determining transport efficiency and the main costs of transport enterprises is the scheme of traffic flows, fixed in the territorial scheme. The task of the study is to develop a separate automation toolkit for decision making on the number and type of specialized transport (depending on the load capacity) to work with dangerous goods and large-sized objects within the existing flow scheme. On the basis of the research of the group of companies the conclusion is presented that today the task of choosing the optimal amount of transport by carriers is solved, as a rule, not systematically, but by operative construction of a set of routes, and does not involve primary analysis of the territory and parameters of accumulation sites. The presented study considers a new approach to the analysis of the system of transportation of hazardous waste, associated large cargoes, in terms of assessing the necessary list of universal structured input data, which are primary principled and characterize the complexity of work in the selected facility, terminal. To solve the problem of forecasting the load of vehicles is offered developed a new automation subprogram based on the organization of client-server access to data, and implemented in the internal programming language “1C. Management of motor transport” (version ММT 8.2). The presented automation subprogram provides data connectivity on volumes of dangerous goods cargo flows, cargo flow collection centers, available data on vehicles and planned data on removal schedules. Work of the subprogram provides integration of work with other databases of transport companies and allows to carry out modeling of various variants of placement of centers of collection of dangerous goods, centers of cargo flows with high accuracy. The obtained results allow to determine the required number of vehicles, their load taking into account different types and technical capabilities, as well as to determine the required number of vehicle trips in the serviced area taking into account the dynamic influence of the external environment. The presented methodology of working with data, performed in a separate automation subprogram, presented routing models, adapted to the transportation of dangerous goods, can be applied to various transport systems, including sea cargo ports and terminals, which determines the universality of the presented approach.

Highlights of veterinary entomology, 2023: beyond the barnyard: exploring the wild side of veterinary entomology.

Due to economic and food security concerns, veterinary entomology has traditionally focused on livestock pests and ectoparasites. However, recognizing the significant environmental changes of the Anthropocene era, there is a need to broaden the scope to include pests and ectoparasites of wildlife. This review highlights key studies from 2023 that go beyond the barnyard and represent this expanded focus. Key areas explored include the development and application of unique methodologies, the impact of arthropods on behavior, and the effects of anthropogenic and environmental influences on pests, ectoparasites, and hosts. By adopting a broader perspective, veterinary entomologists can develop new collaborations and better understand the complex interactions between pests, ectoparasites, and a diverse array of nonhuman vertebrates. This comprehensive understanding is essential for advancing global health and biodiversity conservation.

Exploring Transgressive Segregation for Enhanced Yield in F2 Segregants of Sesame (Sesamum indicum L.)

The experiment involved F2 generation of three superior crosses of sesame: Thilak X Ayali 1, Thilathara X Ayali 2 and Thilak X Ayali 5, grown in a Compact Family Block Design. A total of 200 plants were grown with a spacing of 30 x 25 cm, and observations were recorded on yield related characters. Significant variation was found among most traits, except for capsule length, capsule width, number of seeds per capsule and the number of primary branches. The cross Thilathara X Ayali 2 exhibited a high frequency of transgressive segregants for multiple traits, particularly for seed yield per plant, making it highly promising for further breeding efforts. Plant height had the highest mean and range, showing considerable potential for selection. CV analysis revealed high variability for traits like the number of capsules per plant and seed yield per plant. In contrast, low variability and high stability was observed for traits like capsule length, number of seeds per capsule and days to maturity. Higher PCV and GCV were recorded for traits like days to first flowering, number of capsules per plant, and seed yield per plant, showing substantial genetic and environmental influences. Moderate PCV and GCV were found for plant height and days to maturity, while traits like capsule length, number of seeds per capsule, and capsule width had the lowest PCV and GCV, indicating limited genetic variation. Days to first flowering and days to maturity showed high heritability combined with high genetic advance, suggesting the preponderance of additive gene action and are ideal for simple selection. Traits like capsule length, capsule width, and number of seeds per capsule showed low heritability and genetic advance, making them less ideal for selection. The cross, Thilathara X Ayali 2 should be prioritized in future generations to recover desirable segregants, especially for economically important traits like seed yield.

Weathering words: a virtual reality study of environmental influence on reading dynamics.

Reading is a fundamental cognitive activity that is influenced by both textual and external environmental factors, although the latter has been less thoroughly explored. This study aims to examine the impact of environmental visual conditions on reading performance using Virtual Reality (VR) technology. We conducted two experiments to assess the effects of visual contrast and simulated weather conditions on reading dynamics. In Experiment 1, we measured single-word recognition speed using a lexical decision task under different visual contrasts and weather conditions. In Experiment 2, we assessed reading dynamics during a sentence reading task, analyzing how visual contrast and simulated sunny versus rainy weather conditions affected reading behavior, particularly focusing on reading speed and eye fixations. In Experiment 1, high visual contrast, particularly under sunny conditions, significantly enhanced single-word recognition speed, indicating a notable influence of environmental visual conditions. In Experiment 2, visual contrast had minimal effect on sentence reading; however, sunny weather facilitated faster reading times, while rainy scenarios increased the number of eye fixations. These findings suggest that environmental factors, such as weather conditions, can significantly affect reading behavior. The study contributes to the understanding of key environmental influences on reading in everyday life contexts and has implications for the ergonomic design of reading materials, especially for outdoor settings and VR environments. Additionally, the integration of controlled stimuli within VR increases the ecological validity of reading research, underscoring the potential of VR as a powerful tool for cognitive research.

Research on the Impact of Geographical Environment on English Learning Based on Machine Learning

College English course is an important basic course in colleges and universities. The purpose of this study is to better understand the influence mechanism of geographical environment on English learning and provide scientific basis for formulating targeted English education policies. This study uses the method of machine learning to analyze the collected data and explore the influence of geographical environment on college students' English learning. This study constructs a comprehensive data set including students' English learning achievements, academic background and geographical location, and obtains the results through computer model analysis. The results show that geographical environment has an influence on college English learning, which will lead to differences in students' English learning achievements. This study suggests that geographical factors should be considered when formulating English education policies. This study is of great significance to promoting the development of English education and improving students' learning effect.

Analysis of work life balance, job satisfaction and its effect on the performance of employees of the General Bureau of the Regional Secretariat of the Riau Islands Province

Purpose: This study analyzes the influence of work-life balance, work environment, and workload on performance through job satisfaction as a mediating variable on employees of the General Bureau of the Regional Secretariat of the Riau Islands Province. Results: Using primary data from 120 employees, this study found that work-life balance and workload have a significant influence on performance through the results of the path coefficient, meaning that the job satisfaction variable can mediate the influence of endogenous variables of work-life balance and workload on the performance variable. This can be explained by the fact that with the mediation of job satisfaction, when there is an increase in work-life balance and workload, employee performance will increase. The Work Environment does not have a significant influence on performance based on the results of the path coefficient, meaning that the job satisfaction variable cannot mediate the influence of the work environment variable on the performance variable. This can be explained by the fact that with the mediation of job satisfaction, when there is an increase in the work environment, it will not have an impact on increasing employee performance.

The Influence of Work Motivation and Work Environment on the Performance of Employees of the UKM Cooperative Office of Kulon Progo District, Yogyakarta Special Region

Organizational achievement is influenced by the work environment where employees carry out activities also have an important role in improving their performance. The work environment refers to the material and psychological conditions of employees in the organization. This study aims to determine the effect of work motivation and work environment on employee performance at the Kulon Progo Regency Small and Medium Enterprises Cooperative Office. In this study, the data collection techniques used were questionnaires, observation, documentation and literature study. The analysis used is instrument test, classical assumptions, multiple regression, hypothesis testing, and R2 estimation. Sampling by distributing questionnaires directly to 37 samples. The results of data processing from motivation (X1) have a positive and significant effect on employee performance, namely tcount 2.573> ttable 2.032 with a significance of 0.015 <0.05 and the work environment (X2) has a positive and significant effect on employee performance, namely tcount 2.903> ttable 2.036 with a significance of 0.006 <0.05. Fcount value 7.803> Ftable 3.28, with a significance value of 0.002 <0.05. This means that motivation and work environment simultaneously affect employee performance. The results of the coefficient of determination test obtained an R-square value of 0.315 or 31.5%, which means that the influence of the independent variables on the dependent variable and the rest is influenced by other factors outside the research variables.

Pengaruh Komunikasi Kerja, Motivasi Kerja dan Lingkungan Kerja terhadap Kinerja Karyawan UKM Elha Baby

This research aims to determine the influence of work communication variables (X1), motivation (X2) and work environment (X3) on employee performance (Y) of UKM Elha Baby. This type of research is quantitative research. The data collection techniques used are primary data and secondary data. The sample selection obtained was 35 respondents from UKM Elha Baby. This research data was obtained through questionnaires, interviews and literature studies. The analysis techniques used are Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, T Test, F Test and Coefficient of Determination Test. The results of the research obtained the multiple linear regression equation Y= -4.381 + 0.331X1 + 0.238 + 0.298 Work motivation has a partially significant effect on performance, with a sig. 0.048 > 0.05. The work environment has a partially significant effect on performance, with the result being a sig. 0.005 > 0.05. The F test results obtained Fcount results of 34,203 > from Ftable 3.28 with a significance value of 0.000 < 0.05. From the results of the analysis it can be concluded that Communication, Work Motivation and the Environment simultaneously have a significant effect on the Performance of UKM Elha Baby Employees.

Exploration of Sleep Health and Behaviors Among Undergraduate Nursing Students.

Nursing students experience inadequate sleep because of academic demands, with detrimental effects on academic performance. Objective and subjective data informed students' sleep patterns. Actigraphy data revealed that students (n = 46) slept for 392 minutes per night. Among the 38 participants who completed actigraphy and demographic and survey data, Pearson correlation testing revealed significant relationships between self-efficacy and perceived stress (r = -.604, p = .001), as well as average sleep time (r = -.371, p = .022). Qualitative data revealed the impact sleep has on physical and mental well-being. Individual and environmental influences resulted in students achieving insufficient sleep.

Pengaruh Motivasi dan Lingkungan Kerja Terhadap Kinerja Karyawan Kompartemen Sekretariat Perusahaan & Tata Kelola PT Pusri Palembang dengan Disiplin Kerja Sebagai Variabel Intervening

The study aims to determine the Influence of Motivation and Work Environment on Employee Performance in the Corporate Secretariat Compartment & Governance of PT Pusri Palembang with Work Discipline as an Intervening Variable. The population of this study was 42 people. Data analysis used in this study is the Structural Equation Model (SEM) analysis method operated through the Partial Least Square (PLS) program. The results of the study indicate that there is an Influence of Motivation and Work Environment on Employee Performance in the Corporate Secretariat & Governance Compartment of PT Pusri Palembang with Work Discipline as an Intervening Variable with the equation Y = 0.419x1 + 0.407x2 + ε1 and the equation Z = 0.244x1 + 0.142x2 + 0.665Y + ε2 there is an influence of Motivation on Work Discipline indicated by the equation of the t-statistic value of 2.545> 1.960 and p-values ​​of 0.011 <0.05, the Work Environment has a significant effect on Work Discipline indicated by the t-statistic value of 2.492> 1.960 and p-values ​​of 0.013 <0.05, Motivation has an effect on Employee Performance indicated by the t-statistic value of 2.534> 1.960 and p-values ​​of 0.012 <0.05, Work Environment affects Employee Performance indicated by t-statistics of 2,289> 1,960 and p-values ​​of 0.022 <0.05, Work Discipline affects Employee Performance with t-statistics of 7,584> 1,960 and p-values ​​of 0.000 <0.05. The R2 value for the latent variable Work Discipline of Work Discipline as a mediating variable is 0.541, which means that the value identifies that variations in employee Work Discipline can be explained by exogenous latent variables (Motivation and Work Environment) of 54.1% while the remaining 45.9% is explained by other variables. The R2 value for the latent variable Employee Performance is 89.7% while the remaining 10.3% is explained by variables not included in the study. The larger the R-square number indicates that the greater the independent variable can explain the dependent variable, so the better the structural equation.

Internalisasi Nilai - Nilai Tasawuf Dalam Pembentukan Sikap Moderasi Beragama

There are three aims of this research, namely to describe the values of Sufism, explain the process of internalizing Sufism and describe the relevance of internalizing Sufism values in forming an attitude of religious moderation in the Thoriqoh Syadziliyah Al Masudiyah Jombang Congregation. The Sufism values taught include Simplicity (Zuhud), Humility (Tawadhu'), Compassion and Kindness (Ihsan), Patience and Perseverance (Sabr), Rejection of Negative Lust (Mujahadah). The process of internalizing Sufism is influenced by supporting factors and challenges in implementation. Supporting factors: Thoriqoh Syadziliyah, which is muktabaroh and famous for its easy practices for the congregation. Challenging/inhibiting factors: Struggle with Ego and Worldly Desires, Maintaining Spiritual Discipline, Negative Environmental Influences. The relevance of internalizing Sufism values in forming attitudes of religious moderation. By practicing the values of Sufism, the thoriqoh congregation will form a high attitude of tolerance. By practicing Sufism, the congregation has openness and inclusiveness (tawas), which encourages religious moderation. With a simple lifestyle and Zuhud, the congregation is not easily provoked into committing terrorism and other intolerance. A balanced lifestyle meets the needs of the world, and Akirat helps to encourage the stability of religious harmony in the surrounding environment

Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations

Displacement is one of the most intuitive indicators reflecting the influence of internal and external environments on dam structures. However, existing displacement monitoring models mostly rely on static fitting of single point and deterministic point value estimation, failing to deeply consider the similarity and uncertainty of displacement in dynamic changes under significant water level fluctuations. To address this issue, the displacements are first divided into three periods: ascending, descending, and stable periods. Second, based on the Ward criterion, the displacements of measuring points in different periods are clustered and partitioned, and the CRITIC method is applied to amalgamate the displacement of multiple points within each partition into comprehensive displacements, which reflect the displacement changes of the corresponding partition. Then, the comprehensive displacements are predicted utilizing deep learning model convolutional neural network-gated recurrent unit (CNN-GRU). Finally, to consider the uncertainty and randomness of displacement changes, prediction intervals based on Bootstrap method are employed to quantify the impact of uncertain factors. Engineering examples show that the proposed method can provide scientific basis and technical support for the safety monitoring and health diagnosis of super-high arch dams.

Pengaruh Green Culture, Green Loyalty dan Green Environment terhadap Green Consumer Behavior di Café Palmere Jepara

A coffee shop is a business that is oriented towards food service. This research aims to analyze the influence of Green Culture on Green Consumer Behavior at Café Palmere Jepara. Analyzing the influence of Green Loyalty on Green Consumer Behavior at Café Palmere Jepara. Analyzing the influence of Green Environment on Green Consumer Behavior at Café Palmere Jepara. The sample for this study was 97 respondents. Partial research results: Green Culture has a positive effect on Green Consumer Behavior. Green Culture is a determinant based on a person's desires and behavior, through family and other institutions, in relationships with other people. A critical marketer in management science must pay attention to cultural values in each marketing area. Partially, Green Loyalty has no effect on Green Consumer Behavior. Green Loyalty is the level of interest in making repeat purchases based on strong environmental characteristics and ongoing commitment to products and services. Partially, Green Environment has no effect on Green Consumer Behavior. The social environment is not an independent function, but is interconnected and produces human behavior.