bluuebunny/crossref_metadata_2025 huggingface dataset:
State Development Programs as a Tool for Financing Education
Authors:   Astrakhan State University named after V.N. Tatishchev, Astrakhan, Russian Federation, Skobleva E. I.
Published: December 2024

The article is devoted to the issues of education financing with a focus on the application of state development programs aimed at supporting education in Russia. The author analyzes the results of the implementation of federal target programs, state programs and, as part of them, national projects and federal projects in the field of science and education. The study pays special attention to the analysis of public expenditures on higher education, which is largely financed from the federal budget. Higher education is the most important factor in the economic and social development of the country, as it largely forms the human capital, which opens up opportunities for the search for non-standard solutions, creation of new knowledge and development of technologies. One of the objectives of sustainable development in the field of education is to ensure equal access to quality vocational and higher education, including university education. The aim of the paper is to study the problems of using program instruments of education financing in Russia. The author considers federal target programs as a form of “pinpoint” financial support of the education system; shows the mechanism of transition to the program method of education financing and the transformation of program documents that determine the volume and directions of education financing; examines national projects in the context of program financing of education; analyzes the items of federal budget expenditures on higher education and draws conclusions about their content and dynamics. The article is based on official statistical data and analytical reports of the Ministry of Finance of the Russian Federation, the Federal Treasury, and the Accounts Chamber of the Russian Federation.
Managing the Development of Regional Industrial Potential: Integrating Climate Finance into Investment Strategies
Authors:   South Ural State University (National Research University), Chelyabinsk, Russian Federation, Dovbiy I. P. , Mingaleva Zh. A. ,   Perm National Research Polytechnic University, Perm, Russian Federation, Zhulanov E. E. ,   Perm National Research Polytechnic University, Perm, Russian Federation
Published: December 2024

The requirements for the implementation of climate policy are becoming increasingly important in the processes of formation of global and local value chains and directly affect the development of export potential of both individual economic entities and regions. The purpose of the study is to develop recommendations for improving the tools for managing the development of industrial potential of regional systems under the current conditions of financing the climate agenda in the amount of the country’s commitments. The article analyzes the investment and financial conditions and factors determining the region’s export potential in the context of the implementation of two strategies of the climate agenda — mitigation and adaptation to climate change. A comparative analysis was carried out for the regions located along the middle and lower reaches of the Volga River. The analysis included the following meso- and micro-level areas: investment climate characteristics; conditions for financing of economic entities; investment and innovation activity of the regions and commitment to ESG principles of business entities and regional authorities; quality and elaboration of regional investment standards and climate change adaptation plans, etc. The analysis has shown the impact of the climate agenda, implemented in climate change mitigation and adaptation strategies, on the export potential of the Russian regions under study. It is concluded that the regions are not sufficiently prepared for the growing challenges of the climate agenda and the financial system is poorly developed in relation to the climate agenda. It is shown that a clear identification and understanding of the factors and conditions contributing to the inclusion of national economic entities in value chains can help government agencies and economic entities make effective decisions on the implementation of measures to ensure the formation of favorable investment and financial conditions for managing the development of the region’s industrial potential.
An Investigation into the Nature of Doppler and Cosmological Redshifts
Authors: Chen Christopher , Costiniano Ada , Ruiz Josh , Wu Ruoqing , Chaudhri Anuj
Published: December 2024

In this paper, we summarize theconceptual framework behind relativistic Dopplershifts and cosmological redshift. Using the fundamentalprinciples of special relativity and comovingcoordinates, we first derive the basic mathematicalforms of the two shifts. We analyze the main differencesbetween the cosmlogical and doppler redshiftsas well as how to conceptually reconcile thesedifferences. While cosmological redshift occurs asa result of an increasing scale factor and expandingspacetime, Doppler shifts are purely kinematic andlocal in nature. We take advantage of the factthat all spaces are locally Minkowskian to explorethe transition from Doppler shift to cosmologicalredshift. We also investigate the implications andapplications of cosmological redshifts on leadingtheories in the field of modern cosmology.
Expanded theory of relativity: Demonstrating wave-particle duality as an integral part of relativity theory
Authors: Oliveira J. Manuel
Published: December 2024

Wave-particle duality, the revolutionary concept that particles can exhibit both wave-like and particle-like properties, was first proposed by Louis de Broglie. His equations connecting a particle's energy and momentum to the properties of its corresponding wave laid the groundwork for quantum mechanics. This fundamental principle explains the surprising results of the double-slit experiment and underlies many of quantum mechanics' unique behaviors.In this work, relying solely on Einstein's two postulates of special relativity, and the idea that time is single valued, we will demonstrate that a complete theory of relativity predicts a wave-like quantizable behavior for particle trajectories. We will prove that the theory of relativity predicts a first-order, spin-independent transport equation as an equation of motion for particles, in addition to the classical relativistic Hamiltonian.As key results, we will demonstrate that our theory provides an integrable solution for a free scalar particle, offering insights into the wave-particle duality observed in nature. For spinor particles, we will show that our theory generalizes Weyl theory to accommodate massive particles, while also allowing for modified Dirac-like particles.
A Bayesian Independent Samples T Test for Parameter Differences in Networks of Binary and Ordinal Variables
Authors: Marsman Maarten , Waldorp Lourens , Sekulovski Nikola , Haslbeck Jonas M B
Published: December 2024

Multivariate analysis of psychological variables using graphical models has become a standard analysis in the psychometric literature. Most cross-sectional measures are either binary or ordinal, and the methodology for inferring the structure of networks of binary and ordinal variables is developing rapidly. In practice, however, research questions often focus on whether and how networks differ between observed groups. While Bayes factor methods for inferring network structure are well established, a similar methodology for assessing group differences in networks of binary or ordinal variables is currently lacking. In this paper, we extend the Bayesian framework for the analysis of ordinal Markov random fields, a network model for binary and ordinal variables, and develop Bayes factor tests for assessing parameter differences in the networks of two independent groups. The proposed methods are implemented in the R package \texttt{bgms}, and we use numerical illustrations to show that the implemented methods work correctly and how well the methods work compared to existing methods in situations resembling empirical research.
Gradient Boosting, AdaBoost, and LightGBM for Emotion Recognition: A Comparative Analysis on Wearable Sensor Data
Authors: Nur Zikri Kholifah , Wijaya Rifki , Wulandari Gia Septiana
Published: December 2024

This study investigates how well advanced machine learning algorithms, specifically Gradient Boosting (GB), AdaBoost, and LightGBM, enhance emotion recognition using wearable sensor data. Heart rate and movement data from fifty participants were collected during three scenarios: watching a movie clip before walking, listening to music before walking, and listening to music while walking. Model performance was assessed for classifying binary (happy vs. sad) and multi-class (happy vs. neutral vs. sad) emotions, using metrics such as AUC, F1 score, accuracy, and user lift score. Results indicate that both GB and LightGBM consistently outperform established models like Random Forest and Logistic Regression across all scenarios and both types of emotion classification. Notably, LightGBM achieved the highest accuracies: 91.8% for binary classification and 84.2% for multi-class classification in the 'listening to music while walking' scenario. While AdaBoost's performance was slightly lower than that of Random Forest, it still outperformed the baseline and Logistic Regression models. These findings underscore the potential of GB, AdaBoost, and LightGBM to significantly enhance the accuracy of wearable-based emotion recognition systems.
Contribution of AMOC Decline to Uncertainty in Global Warming via Ocean Heat Uptake and Climate Feedbacks
Authors: Hahn Lily , Lutsko Nicholas , Eisenman Ian , Luongo Matthew , Xie Shang-Ping
Published: December 2024

Climate models vary widely in projections of 21st century global warming and projections of the Atlantic Meridional Overturning Circulation (AMOC). However, the extent to which this uncertainty in AMOC contributes to uncertainty in warming has not yet been quantified. To investigate this, we perform climate model experiments that increase CO2 concentrations while imposing the range of AMOC declines found in the Coupled Model Intercomparison Project Phase 6 (CMIP6). We find that intermodel spread in the AMOC decline, imposed within a single model, reproduces 20% of the total intermodel spread in global warming. An idealized energy-balance model indicates that changes in ocean heat uptake and climate feedbacks contribute approximately equally to enhanced warming in our experiment with a smaller AMOC decline. A smaller AMOC decline produces greater ocean-to-atmosphere heating in the North Atlantic, which increases near-surface warming and reduces the lower-tropospheric stability to produce less-negative lapse-rate and shortwave cloud feedbacks. In the northern tropics, surface warming is enhanced by the wind-evaporation-SST feedback and by more-positive longwave cloud and water vapor feedbacks due to a northward shift of the Intertropical Convergence Zone. A Green’s function analysis confirms that a less-negative global feedback with a smaller AMOC decline is predominantly driven by sea-surface warming in the extratropical North Atlantic. Spread in the AMOC decline is correlated with similar differences in ocean heat uptake and climate feedbacks across CMIP6 models as in our experiments. These results suggest that model uncertainty in global warming may be substantially reduced by constraining projections of AMOC.
Physics Informed Neural Networks for Electrical Impedance Tomography
Authors: Smyl Danny , Tallman Tyler , Homa Laura , Flournoy Chenoa , Hamilton Sarah , Wertz Hone
Published: December 2024

Electrical Impedance Tomography (EIT) is an imaging modality used to reconstruct the internal conductivity distribution of a domain based on boundary voltage measurements. In this paper, we present a novel EIT approach for integrated sensing of composite materials and structures utilizing Physics Informed Neural Networks (PINNs). Unlike traditional data-driven only models, PINNs incorporate underlying physical principles governing EIT directly into the learning process, enabling precise and rapid reconstructions. We demonstrate the effectiveness of PINNs with a variety of physical constraints for integrated sensing. The proposed approach has the potential to enhance material characterization and condition monitoring, offering a robust alternative to classical EIT approaches.
Design of continuous structures using physics informed neural networks
Authors: Gallet Adrein , Smyl Danny
Published: December 2024

Since their inception, physics informed neural networks (PINNs) have shown advantages over traditional data-driven only models by reducing the need for large training dataset sizes via the embedment of physical information in the training process targeting predictions consistent with the laws of physics. This work investigates the viability and advantages of PINN models used for designing continuous structures. To achieve this, local stiffness relations based on Timoshenko–Ehrenfest beam theory are used to constrain network output spaces for predicting variable member sizes in continuous beams. The results herein indicate that PINNs have improved performance relative to data-driven only design models, but the present correlation between data-losses and physics-losses is tenuous, limiting the verifiability of PINN models during inference. Future avenues of research to develop a extensively verifiable architectures are suggested.
Greening Education: Cultivating connection and environmental values for responsiveness to ecological crisis among school students
Authors: Sahni Pooja
Published: December 2024

Recent literature suggests that while the environmental education followed at schools has raised knowledge among students, it has not always led to significant behavioral change or action. It is argued that environmental education should extend beyond knowledge, encouraging a deeper, empathetic connection with nature. In this study, the significance of current curriculum in cultivating responsiveness to the ecological crisis among school students is examined. Further, using theories from behavioral sciences, a structural model is proposed that hypothesizes the critical role of environmental factors, such as nature experiences at schools and in neighborhood green areas in fostering students’ environmental values and connectedness with nature and responsiveness to ecological crises. Partial Least Square method PLS-SEM is employed to examine the relationships and the mediating mechanisms in the proposed model. Key findings show a significant association of nature experiences with connectedness to nature, environmental values and responsiveness to ecological crises, while age, gender and environment education curriculum were not found to be significant. The analysis also revealed a full mediation of connectedness and environmental values in the relationship of nature experience with responsiveness to ecological crises. Altogether, findings emphasize that supplementing existing curriculum with nature-based experiential learning for students may support meaningful environmental connectedness, engagement, and motivate sustainable action, instead of sole reliance on classroom-based environmental education in schools.
Research and Data as Tools in Advocates' Decision Making: A Focus on China and Southeast Asia
Authors: Faunalytics  , Chung Jah Ying , Stennett Jack
Published: December 2024

In January 2024, Faunalytics released Phase I of the “Research And Data As Tools In Advocates’ Decision-Making” project (Faunalytics, 2024), which sought to understand how the animal advocacy movement utilizes data in order to improve the production, funding, and use of research to help animals. This study—Phase II of the same project—takes a deeper dive into research and data use among animal advocates in the Global South, specifically looking at China and Southeast Asia, a region of particular importance due to its large farmed animal population and relative neglectedness in the advocacy community (Founders Pledge, 2020). With the aim of enhancing our understanding of how animal advocacy organizations in these regions engage with research and data, we conducted small focus group discussions with leaders of animal advocacy organizations across the region. Specifically, we explore the five ways research is used, the four barriers and enablers of research use, and the differences in how Asian advocates use research, as compared to advocates in the Global North. By understanding these critical levers of data usage, advocates and funders—both within Asia and globally—can support animal advocates in China and Southeast Asia in their efforts to protect animals in the region.
Immersive Virtual Reality: How does environmental detail and its coherence with embedded text affect learning?
Authors: Hartmann Christian , Kosel Christian , Wolf Annabel , Bannert Maria
Published: December 2024

This experiment addresses the research gap regarding the limited experimental manipulation of key features of immersive virtual reality (IVR) and their specific cognitive and affective effects on learning. Specifically, a two-factor experiment examined how environmental detail (360° immersive scene vs. 2D static scene) as a central feature of IVR and verbal content coherence (embedded text coherent vs. incoherent with environmental detail) as a key principle of multimedia learning influence learning outcomes. Seventy-seven students explored a virtual, immersive replica of the Sistine Chapel, with measures including spatial ability, presence, enjoyment, cognitive load, knowledge acquisition, and eye-tracking data. Consistent with previous research, immersive environmental details increased enjoyment and drew attention to environmental elements; however, contrary to expectations, this did not enhance learning of the verbal information provided. Unexpectedly, incoherent content improved learning performance, likely due to reduced intrinsic cognitive load and increased enjoyment. Eye-tracking analyses confirmed the coherence manipulation, revealing distinct attentional patterns based on coherence levels. These findings extend theoretical understanding by demonstrating that IVR features such as environmental detail and content coherence interact with cognitive processes, challenging the assumption that immersive features inherently enhance learning. This study highlights the importance of moving beyond media comparisons to experimentally investigate specific IVR features and their role in facilitating effective learning processes. Our findings provide initial insights into how cognitive information can be effectively processed in an immersive learning environment and discuss promising avenues for future research.
Twins and their singleton siblings differ in language, cognition, and social-emotional development
Authors: Wood Emily , Brown Anna , von Stumm Sophie
Published: December 2024

This study compared the language, cognition, and social-emotional development between twins and their younger singleton siblings at the ages 2, 3, 4, and 7 years. Data came from 851 sibling trios from the Twins Early Development Study (TEDS), a family cohort born in 1994-1996 in England and Wales (50.2% female; 93.2% White British). Twins performed worse than singletons in language, cognition, and social-emotional development across ages, with small to moderate effect sizes (d=0.17-0.62). An exception was language at age 7 years, when twins exceeded their singleton siblings (d=-0.35). These findings suggest that (a) twins and their singleton siblings differ in development across domains and (b) their differences in language reverse during childhood.
What Vegan Advocates Can Learn From The Social Spread Of Quitting Smoking
Authors: Faunalytics
Published: December 2024

Anyone who has been vegan for a while has likely seen how their diet and lifestyle can influence or spread to those around them. Yet if each vegan was able to create two new vegans, we would have likely seen more significant shifts in the rates of veganism (Our World In Data, 2022) in recent decades. This illustrates the difficulties of understanding social contagion—the process of information (including attitudes or behaviors) spreading throughout a group—especially in relation to veganism. By understanding social contagion better, advocates can improve their diet change outreach, possibly by mastering the art of “vegan contagion.” The spread of veg*nism hasn’t been formally studied as of yet, but this study reflects on a similar behavior change that has been commonly studied: quitting smoking.  With this literature review, we examined peer influences on quitting smoking with the goal of generating hypotheses about peer-to-peer influence on veg*nism. We believe these findings will be beneficial for both advocates working on diet change or animal product reduction as well as researchers looking to study the social contagion of veg*nism.
Contribution of Foreign Aid to GDP in Nepal
Authors: Dangal Dil Nath , Chapagai Shiva Dutta , Ghimire Krishna Prasad
Published: December 2024

The objective of this study is to examine how foreign aid has influenced Nepal’s Gross Domestic. It employs a causal-comparative research design to analyze the effect of foreign aid on Nepal’s GDP based on panel data covering from 2000/2001 to 2020/2023. By applying the Ordinary Least Square (OLS) regression and correlation coefficient to estimate the relationships between GDP and foreign aid empirically. The study reveals that the p-value associated with this analysis is less than 0.05 indicating that the relationship between foreign aid- encompassing both grants and loans and GDP is statistically significant. Foreign aid to GDP ratio fluctuates between 3.2% to 9.32%. Despite its significant impact, the study also highlights fluctuations in GDP foreign aid, indicating economic challenges. The results suggest that although foreign aid is vital for economic stability and growth, the findings also indicate that while foreign aid is crucial for Nepal’s economic well-being, the country needs to focus on long-term self-sufficiency and sustainable development strategies to reduce reliance on foreign aid. The study emphasizes the complex improvement of governance and strategic planning to maximize the benefits of foreign aid.
Determining Optimal Public Debt in Nepal
Authors: Prasai Laxmi Prasad
Published: December 2024

This study examines the optimal thresholds of public debt that can facilitate economic growth in Nepal. The effect of public debt on economic growth has been estimated through the non-linear relationship between public debt and GDP growth using 47 years of yearly time series data from FY 1974/75 to 2021/22. This paper also considers the relationship between economic growth and other several controlling variables, i.e., government debt, gross capital formation, trade openness, population growth, domestic saving rate, in Nepal’s context. The ideal ratio of public debt for higher economic growth is found to be 35.44 percent of real GDP in Nepal. The tools used for time series data analysis include auto regressive distributive lag (ARDL) for long run structural modeling and error correction model for short run relationships. In the recent context of increasing volume of public debt, weakening revenue mobilization capacity of the government and volatility in GDP growth rate of Nepal, this study will be useful for the government and policy maker to adopt appropriate strategies to maintain optimal threshold of public debt for sustainable growth in Nepal. The result advocates that government should use public debt cautiously to facilitate economic growth through productive sector investments by maintaining appropriate level of public debt.
The Effects of Petroleum Price on Consumer Price Index in Nepal: Through the Lens of an ARDL Approach
Authors: Lamsal Mani Ratna
Published: December 2024

The uncontrolled and unexpected increase in inflation in the Nepalese economy has numerous consequences. Even though inflation in Nepal has been increasing each year due to increasing fuel prices; the relationship between petroleum prices and CPI inflation has not been amply studied yet. So, the major objective of this paper is to explore the effects of petroleum prices on the CPI inflation in Nepal. The Auto Regressive Distributed Lag (ARDL) Model is used in the study to explore the effects of petroleum prices on CPI inflation in Nepal. The time series data for 33 years, spanning 1990-2022, were collected from various sources such as Nepal Oil Corporation (NOC), Nepal Rastra Bank (NRB), and World Bank data. This study found a significant positive relationship between diesel prices and CPI inflation in Nepal. The impact of a broad money supply is positive and significant for CPI. However, there is a negative effect of World Oil Prices on CPI of Nepal. The government of Nepal and other concerned agencies should develop and apply appropriate fiscal and monetary policies to control the unexpected hike in the inflation rate in Nepal. An increase in inflation has numerous consequences, as it increases the cost of living and poverty in the nation. Thus, macroeconomic policies should be formulated to control inflation at a minimum rate in Nepal, as it is practiced in many other countries.
Bank Performance in Nepal: The Interplay of Bank-specific and Macroeconomic Metrics
Authors: Sharma Abhishek
Published: December 2024

The financial performance or profitability of any entity is closely linked to both internal and external factors. This study examines the determinants of profitability in Nepalese commercial banks, focusing on a sample of five banks from 2010/11 to 2020/21. Using multiple linear regression models, the analysis found negative significant impact of and non-performing loans and liquidity on bank performance. Both ROA and ROE exhibited significant positive relationship with financial development. Although GDP had a positive impact on bank performance, the relationship is statistically insignificant. The findings suggest that internal factors, particularly asset quality and liquidity management, play a critical role in determining bank profitability. The study highlights the critical need for stringent NPL management and efficient liquidity strategies to enhance bank profitability, providing valuable guidance for policymakers, bank management, and investors in improving financial stability and performance.
Social Media Marketing as a Catalyst of Digital Transformation of Business Operations
Authors: Sthapit Arhan , Vaidya Rashesh
Published: December 2024

In today’s dynamic digital environment, social media marketing has become a pivotal element of digital transformation, fundamentally reshaping how businesses approach advertising, marketing strategies, and fostering customer engagement and value creation. This write-up highlights the multifaceted role of social media in enhancing brand visibility, fostering customer interactions, and driving customer value creation across economic, functional, and social dimensions. Leveraging insights from industry studies, it discusses the use of platform s to optimise operations, conduct market research, and create personalised customer experiences. Challenges such as data privacy concerns and regulatory compliance should be addressed, emphasising the need for robust data governance frameworks. The insights from the discussion underscore the importance of integrating advanced tools like AI for operational efficiency and personalised interactions. By aligning social media efforts with broader digital strategies, businesses can achieve sustainable growth in a competitive, customer-centric digital economy.
Pengaruh Pemberian Highlight pada Teks terhadap Kemampuan Working Memory pada Mahasiswa Fakultas Psikologi Universitas Padjadjaran Angkatan 2023
Authors: Aulia Syelma Safina , Hisan Nasha Khoiritun , Salsabila Naqqiya , Farel Tri Ahmad , Samosir Rosiana Tiurmajuli , Trirahardjo Sunggoro
Published: December 2024

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh pemberian highlight pada teks terhadap kemampuan working memory mahasiswa Fakultas Psikologi Universitas Padjadjaran. Hipotesis yang diajukan adalah: (1) terdapat pengaruh pemberian highlight pada teks terhadap peningkatan kemampuan working memory mahasiswa; (2) terdapat perbedaan pengaruh pemberian warna highlight pada teks antara kelompok yang diberikan highlight berwarna hangat dengan kelompok yang diberikan highlight berwarna dingin. Penelitian ini dilakukan pada 68 mahasiswa Fakultas Psikologi Universitas Padjadjaran angkatan 2023 dan tidak buta warna parsial maupun total yang dibagi menjadi 3 kelompok. Teknik pengambilan sampel menggunakan teknik Simple Random Sampling. Teknik pengumpulan data menggunakan angket yang diisi setelah responden diberikan alat ukur. Desain penelitian yang digunakan adalah quasi experimental design dengan pendekatan kuantitatif. Teknik analisis dalam penelitian ini menggunakan uji statistik nonparametrik, yaitu Kruskal Wallis. Hasil penelitian menyimpulkan bahwa: (1) terdapat pengaruh pemberian highlight pada teks terhadap kemampuan working memory mahasiswa; (2) terdapat perbedaan yang signifikan antara kelompok kontrol dengan kelompok eksperimen 1 yang memiliki highlight berwarna biru.
Menguraikan Determinants Dari Entrepreneurial Intention Mahasiswa
Authors: Bismala Lila , Handayani Susi , Indari Ayu
Published: December 2024

Penelitian ini bertujuan untuk menguji peran mediasi dari Need For Achievement dalam hubungan Big five personality traits dan Entrepreneurial Intention, dan menguji peran moderasi dari Theory of Planned Behavior (TPB) dalam hubungan Need For Achievement dan Entrepreneurial Intention. Penelitian dilakukan pada mahasiswa di Universitas Muhammadiyah Sumatera Utara, dengan jumlah sampel sebesar 393 responden. Teknik pengambilan sampel yang digunakan peneliti adalah dengan metode purposive sampling, di mana responden yang akan dijadikan sebagai sampel adalah mahasiswa yang sudah mengikuti mata kuliah kewirausahaan, dari berbagai program studi yang ada. Dari keseluruhan sampel, jumlah responden yang mengisi angket adalah sebanyak 330 responden, sehingga tingkat respon rate adalah sebesar 84%. Hasil penelitian menunjukkan bahwa Big five personality traits, Need For Achievement dan Theory of Planned Behavior mempengaruhi Entrepreneurial Intention. Big five personality traits ditemukan mempengaruhi Need For Achievement dan Need For Achievement mempengaruhi Entrepreneurial Intention. Hasil penelitian juga menemukan bahwa Need For Achievement merupakan variable mediasi/ intervening dalam hubungan Big five personality traits dan Entrepreneurial Intention namun TPB juga tidak memoderasi hubungan Need For Achievement terhadap Entrepreneurial Intention. Hal ini mengindikasikan bahwa Entrepreneurial Intention mahasiswa dibentuk oleh Big five personality traits, Need For Achievement dan Theory of Planned Behavior.
Psychological Well-Being ditinjau dari Quality of Work Life Guru di SMK Muhammadiyah Imogiri Yogyakarta
Authors: Wati Rinda Kumala , Istiati Fuandani
Published: December 2024

Kajian ilmiah mengenai perilaku ditempat kerja sebelumnya telah menemukan bahwa karyawan yang mengalami emosi postif ditempat kerja akan menunjukkan kinerja yang lebih baik. Kinerja karyawan akan mengarahkan pada produktivitas organisasi. Suatu hal yang penting bagi organisasi adalah memastikan tingkat kualitas kesejahteraan psikologis karyawan. Kesejahteraan psikologis atau psychology well being (PWB) merupakan konsep Ryff yang awalnya meyakini bahwa kesehatan yang positif tidak hanya berasal dari fisik, tapi juga psikologis. Kesejahteraan psikologis merupakan kondisi ketika individu merasa butuh untuk merasa baik secara psikologis. Peneliti melihat suatu hal yang menjadi faktor psychological well being adalah kualitas kehidupan kerja, kondisi ini disebut juga dengan quality of work life (QWL). QWL merupakan kondisi dimana karyawan merasa berkualitas atas kehidupan di pekerjaannya, meliputi kepuasan terhadap pekerjaan, kesejahteraan secara umum, kualitas hubungan rumah dan pekerjaan, tingkat stres terhadap pekerjaan, kemampuan melakukan kontrol kerja dan kondisi pekerjaan.  Metode penelitian ini menggunakan kuantitatif korelasional. Penelitian ini dilakukan pada guru di SMK Muhammadiyah Imogiri sejumlah 63 guru. Hasil dari penelitian ini ditemukan bahwa quality of work life memiliki pengaruh terhadap psychological well being. Sumbangan efektif quality of work life terhadap psychological well being sebesar 25,9%.
Regulasi Emosi pada Korban Bullying di Dayah Terpadu Kota Lhokseumawe
Authors: Julistia Rini , Muna Zurratul , Anastasya Yara Andita , Natasya Aulia , Husna Mawardatul
Published: December 2024

Salah satu dampak yang ditimbulkan pada korban bullying adalah kurangnya kemampuan individu dalam meregulasi emosi yang ada pada diri mereka. Ketidakmampuan mengelola emosi dapat menyebabkan korban bullying melakukan hal-hal negatif yang akhirnya berdampak buruk pada diri individu. Sehingga sangat penting bagi korban bullying untuk dapat meregulasi emosinya secara tepat. Regulasi emosi merupakan suatu hal yang penting untuk mengendalikan perasaan atau emosi-emosi tidak baik dalam diri korban bullying, sehingga tidak berpengaruh pada aktivitas yang lain dalam mencapai tujuan. Tujuan dari penelitian ini adalah untuk melihat gambaran regulasi emosi pada korban bullying di Dayah Terpadu Kota Lhokseumawe. Dengan jumlah 384 subjek. Metode penelitian kuantitatif deskriptif, teknik pengambilan sampel dalam penelitian ini menggunakan teknik probability non sampling dengan jenis teknik purposive sampling. Berdasarkan hasil penelitian menunjukkan bahwa sebagian besar santri korban bullying memiliki regulasi diri yang rendah yaitu sebesar 57%. Hal ini berkaitan dengan kemampuan remaja dalam mengelola stress dan tekanan yang muncul akbibat dari bullying sehingga belum dapat mengontrol emosi dan sensitive.  sedangkan sebagain kecil santri korban bullying memiliki regulasi diri yang tinggi yaitu sebesar 41% yang menunjukkan santri memiliki pemikiran yang positif yang dapat membantunya dalam mengelola, mengenali dan juga mengekspresikan emosi ketika dihadapkan dengan situasi yang penuh tekanan.
Sulfur Derivatives of 1,2,4-Triazole: Recently Developed Compounds, Structure Activity Relationship, and Biological Activity: Review article
Authors: Jasim Azhar Mahdi , Omar Tagreed N-A , Abdulhadi Shayma L.
Published: December 2024

The term of heterocyclic chemistry focuses only on heterocyclic compounds, which consider as a percentage of organic chemistry, they equal to greater than sixty-five. These compounds are widely founded in nature and most of them are important to life. In the past few years, scientist fused on 1,2,4-triazoles and their condensed heterocyclic ring due to their medicinal significance, 1,2,4-triazole containing Sulphur atom is one of the important heterocyclic moieties due to its broad range of biological activities also their derivatives can accommodate one of the alternatives as electronic effect as exchanges of the electronic density (electron donating or withdrawing) groups ; for all what mentioned above they are consider as a core molecule in development of large number of medicinal compounds. 1,2,4-Triazole have wide range of pharmacological motivating drug possibility such as analgesic, anti-microbial, anti-inflammatory, anti-convulsant, antioxidant, anti-septic, anti-cancer, diuretics, anti-diabetic, anti-urease, and anti-migraine agents. This review focus on 1,2,4-triazole Sulfur based compounds about their different biological activities and the relationship with their chemistry.
Imposter Syndrome in Veterinary Education? How Knowledge and Confidence Affect Treatment of Canine Atopic Dermatitis
Authors: Wilson Georgia , Nuttall Tim , Shaw Darren J.
Published: December 2024

Anecdotal data suggest that clinicians can be confused about the indications, advantages, and disadvantages of treatment options for canine atopic dermatitis (CAD). This may be due to the varying levels of knowledge and confidence among clinicians at different stages of their training and careers. A lack of evidence-based studies of confidence when applying knowledge in veterinary education inspired this research. We surveyed 75 Royal (Dick) School of Veterinary Studies (R(D)SVS) final-year students, 34 general practitioners (GPs), 70 GPs that have undertaken continuing professional development in dermatology, 34 advanced dermatology practitioners (e.g., interns and residents), and 15 dermatology specialists using an online questionnaire with Likert-type scales for each response. Correlations between the levels of education, sources of knowledge about managing CAD, and their understanding of different treatment options were analyzed. p < .001 was deemed significant. The results revealed a significant lack of confidence among students and GPs in treating CAD. In contrast, the groups generally had a similar level of understanding of the management options. The exception to this was a lack of understanding about ciclosporin and antihistamines among students and veterinarians with less dermatology experience. Targets for intervention should therefore aim to improve confidence in clinical application rather than knowledge per se in undergraduate and post-graduate education. Improving confidence in managing CAD will improve the welfare of atopic dogs and their owners.
Contribution to knowledge of the genus Agrilus Curtis, 1825 (Coleoptera Buprestidae) of Taiwan. Part 4.
Authors: Curletti Gianfranco , Ong Uitsiann
Published: December 2024

In this fourth contribution seven further new species of Agrilus Curtis, 1825 (Coleoptera Buprestidae) from Taiwan are described: Agrilus albicans n. sp., A. chientai n. sp., A. lidao n. sp., A. pespilosus n. sp., A. sanguinolentus n. sp., A. volubilis n. sp., A. yamadai n. sp.
Competências técnicas digitais e comportamentais no contexto do envelhecimento e carreira
Authors: Marcelo Augusto Vieira Graglia  , Roberto Carlos de Oliveira  , Patricia Giannoccaro von Huelsen  , Alcely Strutz Barroso
Published: December 2024

A nova revolução tecnológica e os processos de digitalização empreendidos pelas empresas e organizações têm afetado as demandas em termos de competências técnicas e comportamentais nos ambientes de trabalho e trazem novos desafios à empregabilidade, especialmente para profissionais seniores. Este artigo investiga a percepção de gestores sobre as competências técnicas e comportamentais requeridas aos profissionais mais velhos, com 45 anos ou mais, que atuam no mercado financeiro em bancos privados no Brasil. Foram realizadas entrevistas com executivos de instituições financeiras, sendo que os resultados da pesquisa  indicam que os executivos compreendem que o desenvolvimento de competências comportamentais se torna mais relevante em relação às competências técnicas. As competências mais requeridas são flexibilidade cognitiva (adaptabilidade), aprendizado contínuo, alfabetização tecnológica, comunicação e gestão de pessoas.
Acumulação capitalista e desigualdade social: o despotismo do capital
Authors: Caio de Alcântara Gomes da Cruz  , Ednéia Alves de Oliveira
Published: December 2024

Este artigo tem como objetivo analisar a política social de enfrentamento às mudanças ocorridas nas relações de trabalho no Brasil e as consequentes desigualdades sociais provocadas pela ofensiva do capital no atual estágios e acumulação. Trata-se de uma pesquisa documental com base em sites oficiais e não oficiais sobre  as condições de trabalho, os números da pobreza, da concentração de renda etc. os dados obtidos nos permitem constatar que nos últimos decênios a propalada crise do capital tem garantido a concentração da renda em um pequeno número de capitalistas e expandido a miséria para contingentes cada vez maiores da população acentuando a pobreza e a desigualdade social.
The Issues of Unemployment in the Three Main Districts in the State of Perak Darul Ridzuan: Case Studies of Kinta, Manjung and Kuala Kangsar
Authors: Mariana Mohamed Osman  , Syahriah Bachok
Published: December 2024

Unemployment is a problem which will affect various situations both social and economic development of a nation. Unemployment is one of the macroeconomic problems that signal the inefficient use of capital resource in the market. It is a stress condition faced by the community especially the unemployed people which will result in self destruction and low self-esteem. The paper discussed on the unemployment issues in the Districts of Kinta, Manjung and Kuala Kangsar in the state of Perak. Kruppe et al. (2007), defined unemployed as a person searching for employment through various channel such as advertisement agencies, sending out resume, or placing or answering advertisements and capable to work.
In addition, the person also considered as unemployed if they are waiting response from any work agencies (Bradbury, 2007). A survey of 203 respondents were conducted randomly to identify the current socio-economic condition and the issues faced by the unemployed person in the three district of Kinta, Manjung and Kuala Kangsar in Perak. The result of the survey indicated that 35% of respondents were female, aged between 21- 25 years old (36.4%) and unemployed for more than 6 months. In addition, majority of respondents (57.1%) used newspaper as the medium to search for jobs rather than online internet search and did not know about the existence of local employment agencies i.e. PEKA located in Ipoh (13.8%).
ESTIMATION OF LOYALTY OF PERSONNEL AND ITS IMPACT ON BUSINESS RESULTS UNDER THE CONDITIONS OF MARITAL STATE
Authors: Zhukovska Valentyna , Mykolaichuk Iryna , Leontieva Anastasia , Abramenko Diana
Published: December 2024

The article is devoted to the study of the influence of staff loyalty on the company's business results, because in order to achieve success, companies need not only to retain staff, but also to create a favorable environment in which employees will be motivated to develop and contribute to the common cause. The purpose of the study is to analyze the successful experience of companies in the field of loyalty assessment using the eNPS method of hall employees, to identify the main factors that affect the loyal behavior of personnel and business results.The article substantiates the definition of the term "staff loyalty", analyzes the value of a loyal employee, factors that affect it. Based on the experience of companies, it is shown how the implementation of the eNPS evaluation system allowed to increase the loyalty of employees and led to a significant increase in business results. a matrix of importance and level of satisfaction of personnel needs (factors) is proposed for determining loyal behavior .Factors affecting staff loyalty are analyzed, practical recommendations for increasing this indicator are offered. The importance of socio-economic and mental measures, which are the most valuable for companies in the conditions of martial law, is emphasized. It is proposed to conduct regular surveys (open or anonymous) regarding employee job satisfaction; develop individual development plans (free training in the current or new field); create a trusting atmosphere; recognize the successes of employees; implement a strong corporate culture that will unite all employees; to provide employees with the opportunity to balance work and personal life.
The study takes into account the specifics of the Ukrainian labor market. The importance of socio-economic and mental measures, which are the most valuable for companies in the conditions of martial law, is emphasized
Pendampingan Penyusunan Digital Interactive Module Bagi Guru Paud di Kota Lubuklinggau
Authors: Satinem Satinem , Susilo Agus , Felani Rani Okta , Adha Subali Rifqi Galih , Sakban Satria
Published: December 2024

Penelitian ini bertujuan untuk memberikan pendampingan dalam penyusunan Modul Interaktif Digital bagi guru Pendidikan Anak Usia Dini (PAUD) di Kota Lubuklinggau. Modul ini dirancang untuk mendukung proses pembelajaran yang efektif dan menyenangkan dengan memanfaatkan teknologi digital. Pendampingan dilakukan melalui serangkaian pelatihan dan bimbingan teknis kepada para guru PAUD, dengan fokus pada pengembangan keterampilan dalam pembuatan dan pemanfaatan materi pembelajaran berbasis digital yang sesuai dengan karakteristik anak usia dini. Dalam prosesnya, guru diberikan pemahaman mengenai pentingnya penggunaan teknologi dalam pembelajaran dan dilatih untuk menyusun materi yang interaktif, menarik, dan mudah diakses. Hasil dari pendampingan ini diharapkan dapat meningkatkan kualitas pembelajaran PAUD di Kota Lubuklinggau, memberikan keterampilan baru bagi guru dalam mengembangkan materi ajar, serta memperkaya pengalaman belajar anak-anak usia dini dengan media yang inovatif dan sesuai dengan perkembangan zaman.
Value Capture Pada Sekolah Swasta Berbasis Islam Terpadu
Authors: Asmara Yeni , Muazza Muazza , Waldo Kevin
Published: December 2024

Pendidikan memiliki peran penting dalam membangun kualitas sumber daya manusia yang unggul, dan sektor pendidikan di Indonesia terus berkembang, termasuk dalam bidang pendidikan berbasis agama yang salah satunya adalah model pendidikan yang banyak diminati adalah sekolah swasta berbasis Islam terpadu. Artikel ini bertujuan untuk menganalisis penerapan value capture pada sekolah swasta berbasis Islam Terpadu. Konsep value capture ini merujuk pada bagaimana sekolah-sekolah tersebut dapat mengoptimalkan nilai dari sumber daya yang dimiliki, seperti teknologi, tenaga pengajar, dan kurikulum, untuk menciptakan keunggulan kompetitif. Artikel ini menggambarkan bagaimana sekolah swasta berbasis Islam Terpadu  dapat mengimplementasikan value capture sebagai strategi untuk meningkatkan daya saing dan kualitas layanan pendidikan yang mereka tawarkan. Tujuan dari penelitian ini memberikan referensi yang relevan untuk mendalami konsep dan penerapan value capture dalam konteks Pendidikan dengan melihat bagaimana sekolah-sekolah ini berhasil meningkatkan nilai tambah melalui integrasi teknologi dalam proses belajar mengajar, serta pengembangan program-program ekstrakurikuler berbasis Islam Terpadu yang menarik minat siswa dan orang tua. Selain itu, kebijakan manajemen dalam mengelola sumber daya secara efektif juga berperan penting dalam mendukung penerapan value capture. Implikasi penelitian ini memberikan pandangan bahwa strategi value capture dapat menjadi salah satu faktor kunci bagi sekolah swasta berbasis Islam Terpadu untuk tetap kompetitif di tengah persaingan yang semakin ketat di sektor pendidikan. Metode yang digunakan dalam mencari jawaban atas permasalahan yang diajukan dengan menggunakan Teknik Pustaka. Penelitian dengan kajian pustaka, atau yang sering disebut sebagai literature review, adalah metode penelitian yang menggunakan sumber-sumber literatur sebagai dasar utama untuk menganalisis, membahas, dan menyimpulkan fenomena tertentu tanpa melakukan pengumpulan data primer seperti survei atau eksperimen.