bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the Negative Impact of Personalized Marketing on Customer Retention among Gen Z Population
Authors: Vinitha Vincent
Published: January 2025

Personalized marketing has been the cornerstone of contemporary digital strategy, using high- end analytics and artificial intelligence to give targeted advertisements and communications. While this would ideally boost customer experience and deepen loyalty, it still faces certain challenges in the new generation that is known to be the most digitally native and keenly aware of privacy: Gen Z. This research examines whether the personalized marketing strategy, such as privacy invasion, information overload from over personalized content, and trust degradation, may harm the retention of these customers.
Roadblocks to Electric Vehicles: A Study of Consumers' Attitude from Rural Gujarat
Authors: Belur Baxi
Published: January 2025

Electric vehicles (EVs) hold immense significance in India due to their potential to address several pressing issues related to the country’s transportation sector. India is one of the largest consumers of fossil fuels, which contributes to air pollution, greenhouse gas emissions, and high energy dependence on imports. The adoption of electric vehicles in India is seen as a crucial step toward achieving a more sustainable and environmentally friendly future. This study aims to explore the perceptions and attitudes of consumers from rural Gujarat regarding the adoption of electric vehicles (EVs). With the growing emphasis on sustainability and the transition to clean energy, understanding the barriers to EV adoption is crucial, particularly in rural areas where infrastructure and awareness may be limited. The objectives of the study are twofold: (1) to analyse the perception of consumers towards electric vehicles, and (2) to examine the relationship between demographic profiles of consumers and their perceptions. A sample of 243 consumers from rural Gujarat was surveyed to gain insights into their attitudes towards EVs. The study utilizes both descriptive and inferential statistical methods to evaluate the data. Findings suggest that while there is general interest in EVs due to environmental benefits, significant roadblocks such as inadequate charging infrastructure, high initial costs, and lack of awareness exist. The study highlights the need for targeted policies and infrastructure improvements to encourage EV adoption in rural areas.
Female entrepreneurial motivation and growth intention: Moderating
effects of marriage, motherhood and husband involvement for Taiwanese female
entrepreneurs in small and medium enterprises
Authors: Pei-Ju Ting Pei-Ju Ting , Pei-Ju Ting Ching-I Chen , Ching-I Chen Ting-Ling Lin , Ting-Ling Lin Mei-Chen Hsieh
Published: January 2025

This paper intends to address the dynamic relationship between entrepreneurial motivation and growth intention, and the impact of marriage, childcare responsibilities and husband involvement in business based on responses from Taiwanese female entrepreneurs in a women entrepreneur program. A structured questionnaire was used to collect 78 valid responses. It is found that motivation gradually led these women to identify new opportunities and strive for self-sufficiency and self-actualization. Even though these female entrepreneurs sought to grow their businesses, they tended to engage with the community and care for their employees. Additionally, married women and mothers with dependents were mainly motivated to conduct business to ensure their family livelihood. However, their desire to enhance their sense of achievement makes them less likely to prioritize contributions to the community and society. Also, the more their husbands were involved in the business, the less these female entrepreneurs were motivated to care for their employees by the desire for independence.

 
Are retail or institutional investors’ shareholdings and market turnover
ratio determinants of the negativity of the security market line in the
Taiwan stock?
Authors: Yeong-Jia Goo Yeong-Jia Goo , Yeong-Jia Goo An-Lung Lee
Published: January 2025

This study investigates the curvature of the Security Market Line (SML) and examines whether retail or institutional investors play a key role in shaping the SML in the Taiwan stock market. The empirical results of Fama-MacBeth regression reveal a negative SML slope in the Taiwan stock market. In addition, the overconfident hypotheses on market turnover ratio, retail investors, and three types of institutional investors are examined. The results indicate that unsophisticated (retail) investors are more influential than the market turnover ratio in shaping the negativity of the SML. By contrast, institutional investors tend to support a positive traditional SML in the Taiwan stock market.

 
Does corporate image affect donation effectiveness? Evidence from the
Taiwan stock market
Authors: Wei-Hong Fu Wei-Hong Fu , Wei-Hong Fu Chih-Chun Chen
Published: January 2025

In recent years, ESG issues have garnered widespread attention, making the enhancement of corporate image an essential topic. Among various methods to improve corporate image, charitable donations are viewed as one of the most direct and common approaches. This study aims to investigate whether corporate donations receive positive recognition from investors, thereby impacting stock returns, and further examines whether the quality of a company’s image influences investor perceptions of donations, leading to varied stock return responses. We utilize an event study methodology and regression analysis to examine the impact of 2,778 donation events by publicly listed companies in Taiwan from 2012 to 2022 on stock returns, as well as to assess the effect of corporate image quality on these outcomes. Results indicate that corporate donations indeed contribute to enhanced stock returns, with companies possessing a stronger image exhibiting a more significant positive impact on stock performance.

 
Transforming Rural Higher Education for the Postdigital Era
Authors: Uleanya Chinaza
Published: January 2025

Postdigital education has become a major subject receiving attention and consideration from various perspectives. For instance, there are crucial issues revolving around the meaning of “postdigital” in the context of education with regard to its implications for educational research and practice and its impact on the learning spaces of higher education, among other issues. However, the focus has been on education in general without any specific focus on rural higher education. Thus, the need to consider rural higher education in the era of postdigital education is pivotal, especially considering its peculiar nature. Hence, this study explores the transformation of rural higher education to fit into the postdigital era through the use of a review method. Relevant literature was reviewed from which themes were generated in the presentation of findings. The findings of the study show, among others, that there are misconceptions regarding the postdigital era and postdigital education—technologies taking over the entire teaching and learning spaces. However, the study also showed that, for rural higher education in the postdigital era, hybridity is pivotal. The study recommends, among other things, that policies promoting hybridity and discouraging the notion of technologies taking over the entire teaching and learning spaces should be made and implemented.
After a Hand Was Lent: Sporadically Experiencing Multisensory Interference During the Rubber Hand Illusion Does Not Shield Against Disembodiment
Authors: Eck Julia , Dignath David , Kalckert Andreas , Pfister Roland
Published: January 2025

Observations from multisensory body illusions indicate that the body representation can be adapted to changing task demands, e.g., it can be expanded to integrate external objects based on current sensorimotor experience (embodiment). While the mechanisms that promote embodiment have been studied extensively in earlier work, the opposite phenomenon of, removing an embodied entity from the body representation (i.e., disembodiment) has received little attention yet. The current study addressed this phenomenon and drew inspiration from the partial reinforcement extinction effect in instrumental learning which suggests that behavior is more resistant to extinction when reinforcement is delivered irregularly. In analogy to this, we investigated whether experiencing occasional visuo-motor mismatches during the induction phase of the moving rubber hand illusion (intermittent condition) would result in slower disembodiment as compared to a regular induction phase where motor and visual signals always match (continuous condition). However, we did not find an effect of reinforcement schedule on disembodiment. Keeping a recently embodied entity in the body schema, therefore, requires constant updating through correlated perceptual and motor signals.
Socio-Economic Disparities and Regional Patterns in Dietary Diversity Among Indian Men: Insights From NFHS-5
Authors: Singh Dr. Harpreet , Roychowdhury Mr. Ratul , Sharma Ms. Sanjana , Kumar Meena Mr. Avadhesh , Kumar Mr. Vineet , Hanspal Ms. Gauri
Published: January 2025

Inadequate nutrition remains a pervasive global issue, affecting one-third of the world’s population, with South Asia being particularly burdened. India, home to approximately 281 million undernourished individuals, faces the triple burden of malnutrition, including micronutrient deficiencies. While considerable attention has been directed towards dietary diversity (DD) among women and children, research focusing on men’s dietary diversity remains limited, especially in the Indian context. This study investigates the prevalence and socio-economic disparities of low dietary diversity (LDD) among men aged 15–54 years in India using data from the National Family Health Survey (NFHS-5, 2019–2021). Dietary diversity was assessed through a weighted score based on the frequency of consumption across nine food groups, with LDD classified as a dietary diversity score below 12. Logistic regression analysis and spatial mapping were employed to explore the socio-economic and regional determinants of LDD. The findings reveal that 6% of men in India experience LDD, with higher prevalence among older age groups, rural residents, men with no formal education, Scheduled Tribe (ST) populations, and those from lower wealth quintiles. Regional disparities were pronounced, with the central, northern, and western regions reporting the highest prevalence, while southern states had significantly lower rates. Education, wealth index, and regional factors emerged as strong predictors of LDD. These insights underscore the need for targeted nutritional interventions addressing the socio-economic and regional inequalities in dietary diversity among men in India.
НОВЫЙ ИНСТРУМЕНТАЛЬНЫЙ СПОСОБ ОПРЕДЕЛЕНИЯ СТЕПЕНИ ЖЕЛТОЙ ОКРАСКИ ПРИРОДНЫХ АЛМАЗОВ ДЛЯ ОБЪЕКТИВНОГО КОНТРОЛЯ ИХ СТОИМОСТИ
Authors: Kafadaryan Y.A. , Aghamyan N.R , Hovsepyan R.K. , Nersisyan M.N.
Published: January 2025

В статье предложен новый способ объективного определения степени окраски природных соломенно-желтых алмазов методом электронного парамагнитного резонанса. По данному методу в качестве параметра, определяющего окраску алмазов, предложено использовать интенсивность одиночной симметричной полосы в области g=2.0026, которая зависит от насыщенности желтого нацвета и не зависит от ориентации алмаза. Отмечается, что выделенная для исследований полоса обусловлена примесным дефектом, состоящим из 3-х замещающих углеродных атомов азота, парамагнетизм которого обусловлен неспаренным электроном на оборванной связи углерода. В статье особое внимание обращается на то, что в оптическом спектре желтых алмазов наблюдается система поглощения N 3 с линией электронного перехода на 415 нм. Интенсивность этой линии коррелирует с интенсивностью сигнала электронного парамагнитного резонанса, что свидетельствует о том, что оптическая электронно-колебательная серия полос с головной линией на 415 нм и сигнал электронного парамагнитного резонанса являются проявлением одного и того же центра, ответственного за соломенно-желтую окраску алмазов. Выполненные практические экспертные исследования и полученные результаты предварительной визуальной градации алмазов по степени насыщенности желтого нацвета, подтвердили правомерность использования метода электронного парамагнитного резонанса в качестве детектора степени окраски желтых алмазов типа 1а и, соответственно, его стоимости. По мнению авторов, предложенный способ может быть использован при инструментальной сортировке и экспертной оценке природных алмазов.
Ключевые слова: алмаз, окраска, электронный парамагнитный резонанс
Fatores prognósticos na Esclerodermia localizada e sistêmica: uma revisão integrativa.
Authors: Cunha Carlini Giovanna , Estella Soares Silva Bucci Debora , De Carvalho Souza Beatriz , Fernandes Maia Samuel
Published: January 2025

Introdução: A esclerodermia é uma doença rara do tecido conjuntivo que pode envolver o tecido subcutâneo, músculos e órgãos internos em sua forma sistêmica. Esta revisão propõe-se a investigar fatores que afetam seu prognóstico e diagnóstico, visando melhores resultados. Metodologia: Esse artigo é uma revisão integrativa e os descritores estabelecidos na plataforma Descritores em Saúde (DeCS) foram “esclerodermia localizada”, “diagnóstico” e “prognóstico”. As plataformas escolhidas foram: Biblioteca Virtual em Saúde (BVS), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e ‘National Library of Medicine’ (PUBMED). Resultados: Foram analisados 22 artigos, 8 deles lidos integralmente e selecionados para compor a análise deste estudo, a maioria descritivos e retrospectivos, e os 14 restantes retirados principalmente por serem revisões sistemáticas ou estudos de casos. Discussão: A esclerodermia localizada ou sistêmica apresenta aumento de moléculas de adesão. Uma das pesquisas traz a e-selectina, marcando função endotelial e a interleucina 2, imunomoduladora, relacionadas à gravidade e área de superfície acometida, sendo marcadores de  prognóstico. Outro estudo dialoga sobre microRNA visando o controle e tratamento, a exemplo dos níveis séricos de miRNA-181b-5p, miRNA-223-3p, relacionados ao mau prognóstico. Outro mostra que pacientes com acometimento pulmonar "opacidade em vidro fosco" são mais responsivos ao tratamento, enquanto calcificações demonstram o oposto. Ainda, a PCR basal é um marcador inflamatório e tende a diminuir com o tratamento, contudo, se persistentemente aumentada, demonstra pior prognóstico. Sobre histopatologia, lesões em face e pescoço têm grau de esclerose menor em relação às de tronco. Ademais, disseminação recente, presença de eosinófilos e pigmentação são riscos para má resposta ao tratamento. Conclusão: A forma sistêmica da doença, o acometimento pulmonar e PCR persistentemente aumentada trazem desfechos mais graves. Na forma localizada, lesões de face e pescoço apresentam grau de esclerose mais leve em comparação às lesões no tronco.
Alberto Consejo Saenz
Authors: González Freire José Manuel
Published: January 2025

El libro Alberto Consejo Sáenz. Médico-militar, cofundador de la Universidad de Colima y del Instituto Mexicano del Seguro Social presenta una recopilación cronológica, sistemática y científica de la bio-bibliografía del coronel y doctor Alberto Consejo Sáenz (1912-1985), el cual se presenta ante ustedes como un mexicano comprometido con su país, con su gente y con su familia. Amante de su tierra mexicana, de sus costumbres, de la gastronomía, de los deportes, de la naturaleza, de la fotografía, de los viajes por el mundo; comprometido con la medicina y sus investigaciones, con las infancias, con la docencia, con la vida militar al servicio de la comunidad, de su familia, sus amistades y personas del vecindario.
Combined effect of recycled alternative waste materials for cement and sand substitution: impact on bio-concrete mechanical properties
Authors: Benatallah Loubna , Guendouz Mohamed , Boukhelkhal Djamila , Hadjadj Moussa
Published: January 2025

The concrete industry is evolving toward sustainability to reduce reliance on natural resources, mitigate the environmental impacts of concrete production, and lower carbon dioxide emissions. This study explores the feasibility of incorporating seashell powder (SSP) and glass powder (GP) as partial replacements for cement at 10%, combined with marble and granite waste (MA and GA) at varying levels (0%, 10%, 20%, and 30%) to replace sand in the flowable sand concrete (FSC). The mechanical properties were assessed through compressive strength, dynamic modulus of elasticity, and ultrasonic pulse velocity (UPV) at 7, 28, and 90 days. The optimal mix, containing 10% SSP, 10% GP, and 20% MA + 20% GA, exhibited the highest improvements in mechanical properties. The compressive strength increased by 37.69% at 7 days, 29.55% at 28 days, and 29.55% at 90 days compared to the control mix. The dynamic modulus of elasticity showed enhancements of 17.31%, 13.81%, and 13.83% at the same intervals, while the UPV improved by 16.81%, 12.64%, and 11.04%, respectively. These results demonstrate that the integration of SSP, GP, MA, and GA can significantly enhance the performance of FSC while promoting sustainability through the use of recycled materials.
Estereótipos de gênero e sexismo: impactos no acesso das mulheres à justiça
Authors: Souza Emilleny Lázaro da Silva , Rosa Carlos Mendes , Alberto Tiago Gagliano Pinto
Published: January 2025

Este artigo examina os impactos dos estereótipos de gênero e das diversas formas de sexismo no acesso das mulheres à justiça, com foco na obrigatoriedade do julgamento com perspectiva de gênero no Brasil desde 2023. Ancorado em uma metodologia qualitativa, que combina análise documental e revisão bibliográfica, o estudo destaca como os estereótipos, especialmente o sexismo ambivalente (hostil e benevolente), perpetuam desigualdades e obstáculos estruturais no sistema jurídico. São analisados o Protocolo para Julgamento com Perspectiva de Gênero do CNJ, a Recomendação nº 33 da CEDAW e o julgamento da ADPF 779 como marcos na aplicação da perspectiva de gênero. A pesquisa aprofunda os conceitos teóricos de sexismo, com base em Glick, Fiske e Eichler, e ressalta como práticas jurídicas insensíveis ao gênero reforçam desigualdades históricas. Conclui-se que a eliminação de estereótipos e a formação abrangente para todos os agentes do sistema de justiça são essenciais para a consolidação de uma justiça que promova os direitos humanos das mulheres em sua diversidade. O artigo contribui para a bibliografia brasileira e enfatiza a relevância de uma abordagem jurídica que reconheça as complexidades das desigualdades estruturais em uma perspectiva latino-americana.
Efeito do uso da Lisdexanfetamina no tratamento dos transtornos de compulsão alimentar
Authors: Ferreira Juliana Cordeiro , Santos Luís Felipe Alvarenga Doneux , Castro Mireli Luise Pereira , Barbosa Luiza Morais , Garcia Stephanie Cristina , Nolêto Isadora Caroline Silva Morais , Freitas Samira dos Santos Ferreira de , Roma Maria Victoria de Paula , Milanez Jordana , Gomes Isabela Almeida
Published: January 2025

O Transtorno da Compulsão Alimentar (TCA) caracteriza-se por episódios de ingestão excessiva de alimentos, com sensação de falta de controle, e é classificado pelo DSM-5 como recorrente, ocorrendo ao menos uma vez por semana por três meses. Este estudo revisa a eficácia do dimesilato de lisdexanfetamina (LDX) no tratamento do TCA, comparando-o ao placebo. Foi realizada uma busca no PubMed em setembro de 2023, com 8 estudos selecionados. Browley et al. mostraram que a LDX, associada a terapias e antidepressivos, reduziu a compulsão alimentar e o peso corporal. Em 2017, a LDX foi superior ao placebo na prevenção de recaídas. Em um estudo de 2019 com 745 participantes, a LDX reduziu consistentemente a compulsão alimentar, enquanto outro ensaio com 411 indivíduos demonstrou menor taxa de recaída em 6 meses (3,7% contra 32,1% para o placebo). Em um estudo de extensão de 12 meses, 84,5% dos participantes relataram efeitos adversos, como boca seca e cefaleia. A perda de peso média foi de 7,04 kg. Pesquisas de 2016 comprovaram a redução dos episódios de TCA com a LDX em 12 semanas, embora tenha sido observada piora em três domínios funcionais (vida familiar, responsabilidades domésticas e trabalho). Concluiu-se que a LDX é eficaz no tratamento do TCA, mas a alta frequência de efeitos adversos pode limitar a adesão ao tratamento, destacando a importância de uma avaliação individualizada para evitar comprometimentos funcionais e ideação suicida.
The application of nano silicon in the lithium battery
Authors: Wang Jiahe
Published: January 2025

The pollution of environment is becoming increasingly severe, so protecting the environment is urgent and cannot be delayed. The exhaust emissions from automobiles are an important source of environmental pollution. The electric vehicles are a great solution of the exhaust emissions. They only use the electric as energy and hardly emit any harmful gas, such as carbon dioxide, sulfide gas and nitrogen oxide. But the challenges on electric vehicles battery exist. How to effectively solve the different problems existing in current batteries is an urgent issue that needs to be addressed. To find the solution, nano silicon and composite materials based on nano silicon are selected. This research will discuss the application performance of different nano silicon in lithium batteries. Through data analysis, the results show that the nano silicon material is a promising material for lithium battery. In addition, its composite materials are also a good choice for lithium battery.
FACTORS AFFECTING THE IMPLEMENTATION OF EARLY MOBILIZATION IN TRAUMATIC BRAIN AND SPINAL CORD INJURY WITH GCS 9-12 TO PREVENT PRESSURE ULCERS
Authors: ANWAR M , MAJEED S , YAR TA , MANZOOR R
Published: January 2025

Traumatic brain injury (TBI) and spinal cord injury (SCI) patients with a Glasgow Coma Scale (GCS) score of 9–12 are at high risk of developing pressure ulcers due to immobility. Early mobilization has been shown to significantly reduce this risk, but its implementation in resource-constrained settings like Pakistan faces multiple challenges. This study aims to identify the factors affecting the implementation of early mobilization to prevent pressure ulcers in a tertiary care hospital in Pakistan. Methods: A descriptive cross-sectional study was conducted in the Neurosurgery Department of Nishtar Hospital, Multan, including 60 nurses and doctors directly managing patients with TBI and SCI. Data were collected using a validated questionnaire focusing on organizational, healthcare worker, and patient-related factors. Descriptive and inferential statistics were analyzed using IBM SPSS Version 26. Results: Organizational factors such as resource availability, staffing, and interdepartmental coordination significantly influenced early mobilization practices, with 75% of participants agreeing on the adequacy of physiotherapy services. Healthcare workers demonstrated high awareness of pressure ulcer prevention, with 85% reporting sufficient training. Patient-related factors, including injury severity, adherence to physiotherapy plans, and family involvement, also played a critical role. Limited resources and systemic barriers were identified as major challenges. Conclusion: The study underscores the importance of addressing resource limitations, enhancing interdepartmental coordination, and fostering patient and family education to improve early mobilization practices and prevent pressure ulcers in TBI and SCI patients. These findings provide actionable insights for improving care quality in resource-constrained settings.
Journey of India Meteorological Department during last 150 years
Authors: Kelkar R. R.
Published: January 2025

The article describes the developments that led to the establishment of the India Meteorological Department in 1875, the seminal and inspiring contributions of the pioneers and the visionaries, and IMD’s continuing progress through the last 150 years in the service of the nation.
The History of Mesoscale Severe Weather Monitoring and Forecasting in India
Authors: Mohanty U.C , NADIMPALLI RAGHU , SRIVASTAVA AKHIL , DAS ANANDA K , OSURI KRISHNA K , ROUTRAY ASHISH , JOSEPH SUDHEER , MURTY P L N , PATTANAIK D. R. , GOPALAKRISHNAN S G , NIYOGI DEV , MOHAPATRA M.
Published: January 2025

Improving the prediction of weather events is always an important research area and challenging task to the meteorologists since it poses a major impact on human life, properties and countries economy. The operational and research centers around the globe have been working to better understand the multiscale interactions involved to advance severe weather including Tropical Cyclones and thunderstorm predictions. The present review article focuses on research activities with a specific emphasis on Numerical Weather Prediction (NWP) methods that led to improvements in severe weather prediction over India during the last three decades. This work also highlights the continuous efforts of India Meteorological Department (IMD) in increasing the observational network and severe weather monitoring. The evolution of NWP models and associated advancements in genesis, movement and precipitation forecasts of extreme events by these models are discussed.
Drivers of the Sustainability Performance of Induction Stove Conversion Program in Indonesia
Authors: Damayanti Retno Wulan , Silvia Dhea Safira  , Pringgo Widyo Laksono  , Haryono Setiadi  , Nisa Aqilla Ellenahaya Entifar
Published: January 2025

In 2022, Indonesia initiated a pilot project to transition from liquid petroleum gas (LPG) stoves to induction stoves, targeting 8.2 million households by 2025. While LPG is considered a clean cooking fuel by the World Health Organization due to its low PM2.5 emissions, this program aims to further reduce CO2 emissions from cooking activities, aligning with Indonesia's clean energy transition and 2060 Net Zero Emission goals. Throughout the program, doubts and criticisms arose among various sectors of society, particularly concerning the sustainability of this program. This research aims to determine and analyze the driving factors that support the sustainability of the induction stove transition program. Five sustainability aspects, namely, economic, social, environmental, technical, and institutional, were analyzed. A total of 315 Indonesian citizens participated as respondents in this research survey. The Partial Least Squares - Structural Equation Model (PLS–SEM) method was utilized as the analytical approach for the study. The results revealed that nine factors significantly influenced program sustainability, with the strongest impacts from technology costs (path coefficient = 0.859), contextual factors (0.803), electrical infrastructure (0.792), and community perception (0.773). Economic sustainability was driven by technology costs and business opportunities (0.643), while environmental sustainability was strongly influenced by electrical infrastructure. Post-installation support (0.307) and financial management (0.391) significantly impacted technical and institutional sustainability respectively. These empirical findings improve previous research on the sustainability of an energy transition program, which provides insights for researchers and stakeholders in the energy management field, especially in developing countries, for policy determination and decision-making.
Analysis of City Energy Systems Modeling Case Studies: A Systematic Review
Authors: Gupta Kushagra , Ahlgren Erik O.
Published: January 2025

Cities are adopting energy planning strategies and emission reduction targets in line with national decarbonization targets. Modeling and scenario assessments are used to support energy planning. City energy systems are complex systems including interactions and interdependencies, as well as the specifics of the local city context. To investigate the representation of city-specific system complexities in existing case studies, a systematic literature review methodology is applied, and model applications are analyzed using a comparative analysis framework. Additionally, research objective themes used to define the specific aims are explored. Key modeling characteristics include scale aspects, method description, system definition, scenario formulation, and case-specific model inputs. The findings of this study suggest that city case studies have a diverse representation of modeling approaches. However, the analysis of model characteristics shows a limited representation of modeling features, such as stakeholder participation and local air pollution impacts that are unique to the urban context. In terms of research objective themes behind the model application, four research themes are identified. Studies aimed at identifying pathways to future low-carbon energy systems and evaluating policy impacts on the city energy systems are the most stated research objective themes for modeling city energy systems.
Sustainable Energy Planning and Management with cooking and maritime transport electrification, household energy savings and heating sector integration
Authors: Østergaard Poul Alberg , Johannsen Rasmus Magni , Duic Neven
Published: January 2025

This 43rd volume of the International Journal of Sustainable Energy Planning and Management presents contemporary research within the diverse field of energy planning. The issue starts with analyses of an Indian programme targeting the replacement of fossil fuel-based stoves with induction stoves. Another electrification analysis targets maritime transportation and floating offshore charging stations. Third, analyses are presented regarding the potential impacts of household energy savings in Iran, and whether to optimally use savings for unmet demands in industry or for export – or indeed to lower production correspondingly. Two Hungarian studies focus on a comparison of using heat atlas and using measured data for heat planning and on the feasibility of using individual heat pumps as flexibility provider for the electricity system. Taking a Danish case as a starting point, the role of the heating system in the overall energy system transition is analysed and lastly, a study review the literature on city energy planning approaches.
Competences of Students in Modern Digital Environment and Digitalization of Education in Moldova
Authors: Gherman Iuliana
Published: January 2025

Modern education of youth in the Republic of Moldova is a purposeful process of development in an individual of characteristic positions and norms of behavior that shape the individual’s attitude to the phenomena of public life, as well as a certain model of civil and general culture based on formed competencies. Civic education and the formation of citizenship plays an important role in the life of every person. Modern socio-political and economic transformations associated with the construction of civil society and a democratic, rule-of-law state require the formation of active subjects who effectively participate in the democratic process. Society currently urgently needs a generation of competent citizens who accept democratic values and make responsible decisions in situations of choice, disagreement and crisis, and who have a developed sense of responsibility for the fate of the country. Currently, the need to develop the civic competence of the younger generation is becoming obvious, because this will allow them to competently enter into relationships with society, political institutions, and public organizations, which is necessary for building a prosperous democratic society and the rule of law. In this regard, a special role belongs to civic education (within the discipline of Education for Society), which has ample opportunities in the formation of critical thinking, citizenship, and social/civic competence of the individual. The concept of “competence” is the ability of an individual to find within himself, to use, and to apply in practice in an organized, flexible and coordinated manner exactly those resources and abilities that are available and in demand in each specific situation.
Bass Guitar Playing Techniques at the Turn of the 1960s – 1970s
Authors: Vitiuc Alexandr
Published: January 2025

This article presents a comprehensive study of bass guitar performance techniques from the late 1960s and early 1970s. A particular focus is placed on the practical use of the electric bass guitar as an instrument with a more convenient construction compared to the double bass. This allowed musicians to perform bass parts at faster tempos, with minimal physical effort and fewer playing movements. An important aspect of bass guitar performance was the instrument's easier portability and its small size, which greatly facilitated its functional use. The author separately examines the characteristics of the division of bassists into accompanists, who mainly perform the function of rhythmic and harmonic accompaniment, and musicians who perform solo parts. The work of leading bassists - Larry Graham, Steve Swallow, and Chris Squire, who had the greatest influence on the improvement of bass guitar performance, is analyzed. Increased attention is paid to the formation of techniques such as slap, harmonics, pick technique, palm muting, and others, used both in jazz and rock music. It is worth mentioning the use by instrumentalists of sound production techniques characteristic of slap, such as hammer-on, pull-off, dead note technique, and others. In addition, the performance style of these musicians is studied, which is distinguished both by a bright palette of strokes and by the virtuoso quality of the performance of bass parts. At the same time, the features of electric amplification, as well as the use of various sound processing devices on the bass guitar, which allow experimenting with sound effects and timbre colors, are considered.
Fortifying The Data Link Layer: An Analysis of Security Concerns
Authors: Alam Md Mazedul
Published: January 2025

Network operations are separated into seven tiers by a conceptual model of networking known as the Open Systems Interconnect Model (OSI). This explains the way layers communicate with one another.This paradigm explains the way layers communicate with one another. I discuss common Data link layer attacks in this Research, along with possible defenses, and introduce new attacks.The data link layer is regarded as an extremely vulnerable point in a secure network Because each layer operates independently of the others; if the data is compromised at the Data link layer, it cannot be discovered at higher layers. The use of various attack tools by an attacker to exploit a network is described. My findings demonstrate how effective these attacks may be when a network administrator neglects to install suitable security at the Data link layer of the OSI model.
Evidence-based vocational rehabilitation
Authors:   , de Geus Christa Janna Cornelia
Published: January 2025

The number of people receiving a long-term work disability pension is growing. Being work disabled significantly influences an individual’s life, since being employed has a positive impact on mental health, quality of life and well-being. Moreover, the growing number of people receiving a work disability pension leads to a large financial strain on society. Assisting people in their return to work is thus beneficial for both the individual and for society as a whole.

In the Netherlands, like in other Western countries, people who receive a work disability pension receive help from the Social Security Institute (SSI) to enhance their prospects of returning to work. Vocational rehabilitation (VR) professionals of the SSI identify return to work (RTW) barriers and offer VR interventions to tackle these barriers, in order to increase the chances of work for their client. However, the support offered by the SSI is often not based on scientific evidence, which can lead to unwanted practice variation among professionals and a lower quality of the VR services which people on a work disability pension (clients) receive. Thus, there is a need for more evidence-based VR services which are tailored to the needs of the client.

Tools, such as a decision aid, can help to improve personalized and evidence-based VR. A decision aid can support the VR professional in identifying which factors play a role in the RTW process of a specific client. Also, it helps in choosing VR interventions that are effective to address these RTW barriers, in order to increase the chances for the client to return to work.

The overall aim of this thesis was to support evidence-based VR with an evidence-based decision aid. The specific aims are: 1. To describe the current Dutch VR services for people who receive a (partial) work disability pension. 2. To develop an evidence-based decision aid to support clients and VR professionals in VR to improve return to work and to reduce practice variation. 3. To test the efficacy and feasibility of the evidence-based decision aid in practice.

This thesis shows that a decision aid can support professionals in providing personalized, evidence-based VR to clients with a long term disability pension, with larger involvement of the client. Further development of the decision aid with the lessons learned in this thesis and research on the effectiveness of this specific decision aid are necessary. However, the satisfaction of VR professionals and clients with the decision aid and the added value of decision aids in enhancing the quality and effectiveness of VR services, paves the way for implementation.
Research on Price Influencing Factors and Machine Learning Pricing Prediction in Carbon Trading Market
Authors: Li Xunyang , Liu Ruizi
Published: January 2025

As an important tool for addressing climate change and realizing the transition to a low-carbon economy, the carbon trading market has received increasing attention in the study of its price formation mechanism and influencing factors. However, most of the existing studies focus on theoretical discussions and lack empirical analysis of the seven major carbon trading markets in China. In this paper, differential econometric models and machine learning algorithms (including decision trees, random forests, and Xgboost) are used to analyze carbon trading market data between 2014 and 2023 to explore the impact of macroeconomic factors on carbon trading prices. The results of the study show that there is a significant negative correlation between macroeconomic factors and carbon trading prices, and the machine learning model outperforms the traditional linear regression model in predicting carbon trading prices. The research in this paper provides an important reference for improving the efficiency of the carbon trading market and formulating related policies.
The Era Value of Health Qigong in Promoting Healthy Aging Against the Background of Healthy China
Authors: Kong Yafei , Zhao Jiankang , Tian Zhuyun
Published: January 2025

Currently, society is in a period of rapid aging. With the rapid development of the economy, China is also at a critical stage where the aging degree is accelerating and the population structure is changing. The health issues of the elderly have received widespread attention from society. With the in-depth implementation of the "Healthy China" strategy, addressing the challenges brought about by population aging has become an important topic. Through the methods of literature review and mathematical statistics, this paper analyzes the current status of population aging in China under the background of "Healthy China", and explores the contemporary value of health qigong in promoting the physical and mental health of the elderly, improving the family happiness of the elderly, reducing the family economic burden, as well as facilitating the social participation of the elderly and contributing to the development of a harmonious society during the process of healthy aging. Meanwhile, corresponding paths are provided for health qigong to assist in healthy aging.
Machine Learning and Artificial Intelligence in Environmental Change Prediction
Authors:   Assistant Professor, Amity University Patna Bihar., Anand Ajay
Published: January 2025

The accelerating pace of environmental change poses significant challenges to ecosystems, economies, and human health. Traditional methods of environmental modelling often fall short in addressing the complexity and scale of these issues. Applying machine learning (ML) to climate data offers numerous benefits, revolutionizing method to analyse, understand, and address climate change challenges. This paper explores the potential of Machine Learning (ML) and Artificial Intelligence (AI) in predicting environmental changes, highlighting methodologies, applications, and future directions.

Keywords: Machine Learning, Artificial Intelligence, Environmental Change, Prediction, Data Analysis.
Automatic Hydroponic Farming System with Image Processing based on Nutrients System
Authors:   Zeal College Of Engineering And Research Narhe, Pune, India., Shinde Rutuja
Published: January 2025

This project introduces an advanced automated hydroponic farming system that integrates image processing and precise nutrient management to support optimized plant growth. In hydroponics, plants grow without soil, relying instead on a nutrient-rich water solution. The core of the system involves real-time image analysis to assess plant health and detect nutrient deficiencies. Using computer vision image processing techniques, images of the plants are analyzed to identify key indicators of health, including leaf colour, size, shape, and texture. Based on these assessments, the system can send alerts messages to user and can automatically adjust the concentration of nutrients in the solution to maintain optimal plant health. Additionally, it monitors and automatically adjusts other crucial parameters like pH level, temperature and humidity, and light intensity, which are essential for nutrient uptake and overall growth.

Keywords- Raspberry Pi, Hydroponics, Automated system, Mobile Application, Sensors
WEB BASED WASTE MANAGEMENT SYSTEM
Authors:   Dept of Computer Science Engineering Presidency University  Bengaluru, India, Reddy  P Deshik Siva Sai
Published: January 2025

A web-based waste management system designed to optimize waste collection and disposal processes. The system aims to enhance efficiency, reduce environmental impact, and promote sustainable waste management practices. By leveraging advanced technologies, the system offers a comprehensive solution for tracking waste generation, scheduling collection routes, and monitoring disposal activities. Key features include real-time waste level monitoring, automated route optimization, and data-driven insights for informed decision-making. The implementation of this system has the potential to significantly improve waste management operations, contributing to a cleaner and more sustainable future
Thermax Minimize Reject During Water Purificationt
Authors:   Department of computer science and engineering School of Engineering, Pasha.B Asif
Published: January 2025

This project introduces an advanced Water Purification System that combines multiple stages of filtration to deliver clean, safe, and high-quality drinking water. The system integrates a booster pump, sediment filter, pre-activated carbon filter, and post-activated carbon filter, each of which performs a critical role in removing physical impurities, chemical contaminants, and unpleasant odors from the water.

The purification process begins with the sediment filter, which acts as the first line of defense by eliminating larger impurities such as dirt, sand, and rust particles. This ensures that the subsequent filters operate efficiently without clogging. The water then passes through the pre-activated carbon filter, which is responsible for reducing chlorine, pesticides, volatile organic compounds, and other harmful chemicals that affect water safety, taste, and odor.

A booster pump is incorporated into the system to maintain consistent water pressure, enabling optimal filtration performance across all stages. This is particularly important for ensuring an uninterrupted flow of water through the filters. In the final stage, the post-activated carbon filter polishes the water, removing any remaining impurities or chemical residues and further enhancing its purity, taste, and overall quality.

The proposed system is designed with efficiency, sustainability, and scalability in mind, making it suitable for diverse applications, including residential, commercial, and industrial settings. Its modular architecture allows for easy customization and maintenance, ensuring that the system can adapt to different water quality requirements. By combining innovative filtration techniques and practical design, this project addresses the growing demand for sustainable access to clean water while minimizing resource wastage and promoting environmental conservation.

This multi-stage purification system not only guarantees safe drinking water but also represents a step forward in providing reliable and cost-effective water treatment solutions that contribute to healthier and more sustainable living.
Digital Public Announcements and Chatbot Systems
Authors:   CS&E, Presidency University Bengaluru, L Amarnath J
Published: January 2025

This study presents a resource management platform aimed at improving resource distribution and boosting communication between administrators and users. The platform is divided into two main sections: Admin and User, each fulfilling specific roles to simplify processes and increase efficiency. The Admin section equips administrators with tools to oversee resources—such as adding, updating, and tracking their availability—as well as managing and approving user requests. Moreover, it features a live chat function to promote direct interactions, guaranteeing prompt support and clarity. Conversely, the User section emphasizes user accessibility, allowing individuals to sign up, browse available resources, and easily submit requests. An easy-to-use interface along with the integrated chat option enables users to ask for help or clarification directly from administrators, fostering smooth communication. By automating standard resource management tasks and closing communication gaps, the platform alleviates administrative pressure, enhances operational workflows, and boosts user satisfaction. Its flexible design adapts to various settings, including educational institutions, businesses, and public services, providing a strong solution to contemporary resource management issues.

KEYWORDS: Resource management, Platform, Admin, User, Request, Chat, Efficiency.