bluuebunny/crossref_metadata_2025 huggingface dataset:
Adaptation Factor Analysis Instrument of Interpersonal Support Evaluation List in Indonesian Version: Confirmatory Approach
Authors:   Master of Guidance and Counseling Study Program, Universitas Negeri Jakarta, Indonesia, Hotmauli Megarizky , Badrujaman Aip ,   Master of Guidance and Counseling Study Program, Universitas Negeri Jakarta, Indonesia, Fitri Susi ,   Master of Guidance and Counseling Study Program, Universitas Negeri Jakarta, Indonesia
Published: June 2024

Social support is an interpersonal transaction that involves one or more things such as emotional attention, instrumental assistance, information, and appraisal. Social support comes from the perception that there are people who will help if a situation or event that is considered to cause a problem occurs, and this help is believed to increase positive feelings and self-esteem. Social support has 4 functions; tangible support, appraisal support, self-esteem support, and belonging support (Cohen & Hoberman, 1983). The interpersonal support evaluation list (ISEL) is a social support measurement instrument widely used in various countries. Using instruments in different cultural backgrounds requires adaptation processes to be valid and reliable with the respondents being tested. However, until now there has been no research on the adaptation of ISEL measuring instruments in Indonesia. This research aims to obtain a standardized Indonesian version of the ISEL measuring instrument. The adaptation process was calculated using the International Test Commission reference (Commission, 2017). Based on the results of the CFA analysis with the JASP 0.18.3.0 program, it can be concluded that according to theory, the Indonesian version of the ISEL instrument has proven valid and reliable in measuring social support in the Indonesian adolescent population.
Oneirotherapy in Overweight and Obesity
Authors: Sanjay Kalra  , Saurabh Arora  , Nitin Kapoor
Published: June 2024

Oneirotherapy is a form of psychotherapy that is based onvisual imagery and symbolism. In this communication. Wediscuss the role of oneirotherapy, or using vivid imagery,as adjuvant therapy in obesity care. Oneirotherapy can beused to promote acceptance of, and adherence to,prescribed therapy. It may also help improve quality of lifeand enhance self-esteem. However, oneirotherapy alone,without following a healthy lifestyle and or taking antiobesitymedication, will help manage weight only in one’sdreamsKeywords: Holistic care, mind body medicine, personcentriccare, psychosocial aspects
Hyperostosis Frontalis Simulating Metastatic Deposits: Unmasked on SPECT-CT
Authors: Areeba Amin  , Mairah Razi
Published: June 2024

Skeletal scintigraphy has a pivotal role in detecting a number of bone pathologies, but it has its own limitations becauseof 2D image acquisition. Hybrid imaging acts as a savior in these cases where it is difficult to distinguish between benignand malignant lesions just on the basis of planar images. We present one such case of known breast carcinoma withabnormal increased radiotracer uptake in the skull which was difficult to characterize as benign lesion such as hyperostosisfrontalis or metastatic osseous lesion. The importance of describing this case is to have a thorough understanding ofhyperostosis patterns and to not confuse it with metastatic deposits in patients with known malignancies.
Keywords: Hyperostosis Frontalis, SPECT-CT, bone scan
The Impact of Climate Change on the Upper Navet Reservoir, Trinidad
Authors: Baboolal Ravi , Cooper Vincent
Published: June 2024

A hydrologic study of the Upper Navet Reservoir and its catchment was conducted to investigate and evaluate the potential impacts of climate change on it, using the soil moisture accounting algorithm in HEC-HMS to perform continuous simulations. The catchment is partially gauged, with a single rainfall gauge located within it. With the absence of a stream gauge, recorded stage data from the reservoir was used to evaluate catchment response. The selection of model parameters was based on previous work on the nearby Nariva catchment that was improved by a manual optimisation technique. The model was subject to a split-sample test with a calibration period of 24 months (2003-2004) on a daily time-step followed by validation over a period of 60 months (2005-2009). The validated model was used to evaluate the system’s response to climate change. The meteorological data for this was generated by the PRECIS software for this region. The model was subject to three data sets based on the SRES A1B scenario. The results of simulations conducted for the period 2030-2096 showed that for continuous operation, production rates at the Navet reservoir require a 40% reduction of present values for two of these scenarios and 30% for the most optimistic scenario.
A STUDY ON THE IMPACT OF DIGITAL MARKETING ON THE INDIAN ECONOMY
Authors: Mahida Rinkesh
Published: June 2024

According to a Goldman Sachs report, the Indian market's digital advertising profession is expected to be worth multiple times its current value, or $160 billion, by 2025 (Kaur, 2023) (Singh M. K., 2021). The same report projects that by 2023; there will be approximately 666 million active Indian web users (Kaur, 2023). By 2020, digital marketing is predicted to generate 20 lakh new jobs (Kaur, 2023). A Magna Global advertising forecast states that India's advertising budget will increase by 11.8% in 2023. From Rs 98,200 crore in 2022 to Rs 1,09,900 crore in 2023, total ad sales are increasing (Brand Wagon Online, 2023). The objectives of this article are to study trends and growth of digital marketing in India (Singh M. K., 2021), understand the importance of digital marketing in India (Agrawal, 2023), the challenges of digital marketing in India, understand how to overcome the challenges in digital marketing (Singh M. K., 2021) impact of digital marketing on the Indian economy and examine the Indian government's support for digital marketing. For this study, the researcher employed a descriptive research design. Secondary data was utilized to acquire the data needed for the research.
રઘુવીર ચૌધરી કૃત અમૃતા નવલકથામાં ભારતીયતા
Authors: Vajir Pravinbhai
Published: June 2024

અત્યારના સમયમાં પશ્ચિમી દેશોની સંસ્કૃતિ, રહેણીકરણી, ધર્મ, વિચાર વગેરેની ઘેલછા ભારતની પ્રજાના માનસ પર સવાર થતી જાય છે. ભારતીય સંસ્કૃતિ પોતાનો ઇતિહાસ ગુમાવતી જાય છે. આ માટે તે પ્રત્યે સજાગ કરવાની કલ્યાણકારી ભાવનાને વ્યંજિત કરવા સત્યની આવશ્યકતા છે. આંધળું અનુકરણ આપણે બંધ કરવું પડશે. વિશ્વની સંસ્કૃતિ ઉદ્દભવી અને નાશ પામી, પરંતુ ભારતીય સંસ્કૃતિ આજે પણ સદીઓથી પોતાની પરંપરા જાળવતી આવી છે.
અર્વાચીન સમયમાં ભારતની જુદી-જુદી ભાષાઓના અનેક સર્જકોએ પોતાના સાહિત્ય દ્વારા ભારતીયતા પ્રગટાવવાનો ભગીરથ પ્રયત્ન કર્યો છે. જેમાં ગુજરાતીમાં મધ્યકાળમાં નરસિંહ મહેતા,  મીરાંબાઈ, અખો અને પ્રેમાનંદ તો અર્વાચીન સમયમાં નવલરામ પંડ્યા, ધ્રુવ સાહેબ, કવિ કાન્ત, બ.ક.ઠાકોર, મેઘાણી, ઉમાશંકર જોશી, રઘુભાઈ ચૌધરી જેવા અનેક સર્જકોએ પોતાના સાહિત્યમાં ભારતીય ભાવનાને આલેખવાનો પ્રયત્ન કર્યો છે.
AN APPROACH TO SUSTAINABLE LIVING: BIODEGRADABLE FLATWARE
Authors: Bhavsar Rucha , Maitreya Aanal , Modi Nainesh
Published: June 2024

Our environment is getting polluted day by day, from the past few years. There has been significant amount of air, soil, water & noise pollution in recent decades. Ozone layer is getting depleted, that affects environment and all living organisms. Plastic pollution plays major role in getting soil polluted, that leads to less nutrient efficiency in vegetation grown in that particular soil. Plastic takes approximately 20 to 500 years to degrade. Cutleries made from plastic such as straws, spoons, forks, cups, plates & containers takes years to decompose and harm soil, environment, water as well as living organisms. We can use cutleries made from metals like copper, silver, steel etc. But if we consider our fast food eating habits, eating out at in the streets or junk food takeouts and something that complements our modern lifestyle, we can definitely use biodegradable cutleries. There are many plant-based options and alternative to traditional plastic cutlery. There are many parts and religions in India that focuses on eating in Musa paradisiaca plants’ leaves (mainly in southern region of India) and in ancient times our ancestors used to make plates from Butea monosperma dried leaves. Plants & materials used for creating plant-based cutleries are discussed vividly in this paper. Many researchers and scientists have worked toward contemplating this global issue, that is mentioned in this paper as well.
“Modernas! São Paulo vista por elas”
Authors: Ragusa Granado Helena , Oliveira Carolina Oliva Rodrigues de
Published: June 2024

Neste artigo discutiremos alguns aspectos da exposição “Modernas! São Paulo vista por elas”, trazida pelo Museu Judaico de São Paulo, e as narrativas fotográficas produzidas por sete mulheres judias que para o Brasil vieram entre as décadas de 1930 e 1950. Restritas a contextos de produção e divulgação, fora dos círculos comuns, as obras revelam forte contribuição ao modernismo brasileiro. O que o museu propõe é a ampliação dos públicos para uma história desconhecida, mas que pode ser pensada a partir dos contributos da História Pública, ao mesmo tempo que se entrecruza com a experiência estética de Walter Benjamin (1994).
Gender Differences in Language Acquisition Patterns among Adolescents in Japan
Authors: Tanaka Ayaka
Published: June 2024

Purpose: The aim of the study was to analyze the gender differences in language acquisition patterns among adolescents in Japan
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: This study examines gender differences in language acquisition among Japanese adolescents. Males typically prefer informal methods like digital media for vocabulary, while females favor formal instruction. Females show stronger syntax, grammar, and pragmatic skills, driven by a greater interest in language learning for social reasons. Males' attitudes vary more, influenced by socioeconomic factors.
Unique Contribution to Theory, Practice and Policy: Social learning theory, gender schema theory & critical feminist theory may be used to anchor future studies on the gender differences in language acquisition patterns among adolescents. By tailoring language instruction to the specific needs of male and female adolescents, educators can create more inclusive learning environments that support equitable language development. Policymakers should prioritize the integration of gender-sensitive language policies and initiatives within educational systems.
Effect of Cultural Factors on Speech Perception in Multilingual Contexts in United Kingdom
Authors: Brown Emily
Published: June 2024

Purpose: The aim of the study was to analyze the effect of cultural factors on speech perception in multilingual contexts in United Kingdom.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Cultural factors significantly influence speech perception in multilingual contexts in the United Kingdom, impacting individuals' ability to discern phonetic contrasts across languages. Language exposure, cultural identity, and social interactions all contribute to shaping speech perception abilities among multilingual speakers. Considering socio-cultural context is crucial in understanding these phenomena, as cultural norms and values influence auditory processing mechanisms.
Unique Contribution to Theory, Practice and Policy: Social identity theory, acculturation theory & communication accommodation theory may be used to anchor future studies on analyze the effect of cultural factors on speech perception in multilingual contexts in United Kingdom. Develop culturally responsive language education programs that recognize and celebrate linguistic diversity. Advocate for policies that promote linguistic and cultural inclusivity in education, workplace, and public services.
Socioeconomic Status and Its Impact on Language Development in Preschool Children in South Sudan
Authors: Akol Ayen
Published: June 2024

Purpose: The aim of the study was to analyze the socioeconomic status and its impact on language development in preschool children.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Socioeconomic status significantly influences language development in preschool children, with higher SES linked to better language skills. Disadvantaged backgrounds often correlate with delayed language acquisition and poorer linguistic abilities. Factors like access to resources and parental education impact language outcomes.
Unique Contribution to Theory, Practice and Policy: Social interactionist theory, the theory of cultural capital & the ecological systems theory may be used to anchor future studies on socioeconomic status and its impact on language development in preschool children. Provide professional development opportunities for educators and caregivers to enhance their understanding of the impact of socioeconomic factors on language development and equip them with effective strategies for addressing language disparities in diverse preschool settings. Advocate for policies that prioritize equitable access to high-quality early childhood education and childcare services, including targeted funding initiatives aimed at improving resources and staffing ratios in preschools serving low-income communities.
Influence of Bilingualism on Cognitive Abilities in Children in China
Authors: Yan Zhang
Published: June 2024

Purpose: The aim of the study was to analyze the influence of bilingualism on cognitive abilities in children in China.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Research on bilingualism and cognitive abilities in children in China has indicated several significant findings. Studies suggest that bilingualism can enhance executive functioning skills, such as cognitive flexibility and attention control, leading to improved problem-solving abilities. Additionally, bilingual children often demonstrate advanced metalinguistic awareness and language development, with proficiency in both their native language and a second language.
Unique Contribution to Theory, Practice and Policy: Bilingual advantage hypothesis, socio-cultural theory & neuroplasticity theory may be used to anchor future studies on influence of bilingualism on cognitive abilities in children in China. Implement evidence-based instructional strategies educators should incorporate evidence-based instructional strategies that capitalize on the cognitive benefits of bilingualism. Advocate for bilingual education policies. Policymakers should advocate for the implementation of bilingual education policies that support language minority students' cognitive development.
Language Policy and Its Influence on Language Maintenance among Indigenous Communities in New Zealand
Authors: Wilson Isla
Published: June 2024

Purpose: The aim of the study was to analyze the language policy and its influence on language maintenance among indigenous communities in New Zealand
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Research on language policy and its impact on language maintenance among Indigenous communities in New Zealand found that supportive policies, community involvement, and adequate resources were vital for preserving Indigenous languages. Active community participation in policy development was crucial, along with the availability of resources like bilingual education and cultural materials. Recognition of Indigenous languages as official languages alongside English also contributed to their preservation.
Unique Contribution to Theory, Practice and Policy: Language ecology theory, critical language policy theory & language rights theory may be used to anchor future studies on analyze the language policy and its influence on language maintenance among indigenous communities in New Zealand. Educational practices should emphasize the importance of bilingual and multilingual education programs that incorporate Indigenous languages alongside dominant languages in formal schooling contexts. Policy recommendations should advocate for the recognition and protection of Indigenous language rights within national and international legal frameworks.
Peacebuilding Efforts in Civil War-Affected Countries in Afghanistan
Authors: Ahmadzai Ibrahim
Published: June 2024

Purpose: The aim of the study was to analyze peacebuilding efforts in civil war-affected countries in Afghanistan.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Peacebuilding in war-torn Afghanistan faces hurdles due to ongoing conflict, ethnic divides, and Taliban resurgence. Governance reforms and reconciliation efforts struggle amidst poverty and corruption. Despite some progress, achieving lasting peace is an uphill battle.
Unique Contribution to Theory, Practice and Policy: Liberal peacebuilding theory, critical peacebuilding theory & relational peacebuilding theory may be used to anchor future studies on the peacebuilding efforts in civil war-affected countries in Afghanistan. Peacebuilding efforts should prioritize local ownership, inclusivity, and participatory approaches that empower affected communities to take an active role in shaping their own futures. Peacebuilding efforts should be integrated into broader development, security, and governance frameworks to ensure coherence, coordination, and sustainability.
Cross-Border Water Management in Transboundary River conflicts in Palestine
Authors: Farah Leila
Published: June 2024

Purpose: The aim of the study was to analyze cross-border water management in transboundary river conflicts in Palestine.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Research on cross-border water management in transboundary river conflicts stresses cooperation, trust-building, and integrated approaches for sustainable solutions. Equitable resource allocation, effective communication among riparian states, and international legal frameworks play vital roles in resolving disputes. Adaptive governance mechanisms are crucial for addressing changing hydrological conditions and political dynamics. Collaborative efforts are essential for managing transboundary river conflicts effectively.
Unique Contribution to Theory, Practice and Policy: Hydro-hegemony theory, institutional collective action (ICA) theory & environmental peacebuilding theory may be used to anchor future studies on cross-border water management in transboundary river conflicts in Palestine. Implementing integrated water resources management (IWRM) approaches that involve stakeholders from all riparian countries can enhance practical efforts to address transboundary river conflicts. Developing robust legal and institutional frameworks at both national and international levels is crucial for resolving transboundary river conflicts and promoting cooperation.
Negotiation Strategies in International Diplomatic Conflicts in United States
Authors: Jackson Joshua
Published: June 2024

Purpose: The aim of the study was to analyze negotiation strategies in international diplomatic conflicts in United States.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Findings on negotiation strategies in U.S. diplomatic conflicts highlight the use of coercive diplomacy, economic sanctions, and multilateral negotiations. These strategies involve bilateral talks, international organizations, and third-party mediation. Leverage, including military power and economic incentives, is employed to advance U.S. interests. Challenges arise from divergent interests and power dynamics. Success requires a balanced approach of assertiveness and flexibility.
Unique Contribution to Theory, Practice and Policy: Game theory, constructivism & distributive and integrative bargaining may be used to anchor future studies on the negotiation strategies in international diplomatic conflicts in United States. Provide negotiators with training and resources to enhance their cross-cultural competence, including understanding cultural values, communication styles, and negotiation norms. Invest in the development of mediation and third-party intervention mechanisms to facilitate diplomatic negotiations in international conflicts.
Ethnic Conflict Resolution in Post-Conflict Societies in Bosnia
Authors: Begić Ajla
Published: June 2024

Purpose: The aim of the study was to analyze ethnic conflict resolution in post-conflict societies in Bosnia.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Studies on ethnic conflict resolution in post-conflict Bosnia emphasize intergroup dialogue, economic development, and transitional justice. Contact initiatives foster trust, while economic empowerment reduces tensions. Truth and reconciliation processes acknowledge past wrongs, and diaspora involvement aids peacebuilding.
Unique Contribution to Theory, Practice and Policy: Identity theory, contact theory & structural violence theory may be used to anchor future studies on ethnic conflict resolution in post-conflict societies in Bosnia. Practitioners should prioritize initiatives that promote interethnic dialogue, reconciliation, and community engagement at the grassroots level. Policymakers must prioritize inclusive governance structures that ensure the meaningful participation of all ethnic groups in decision-making processes.
Role of Mediation in Territorial Disputes in East Asia
Authors: Cheng Wei
Published: June 2024

Purpose: The aim of the study was to analyze the role of mediation in territorial disputes in East Asia.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: In East Asia, mediation plays a pivotal role in addressing territorial disputes by fostering diplomatic dialogue and negotiation. It aims to de-escalate tensions and find mutually acceptable solutions, preventing conflicts from worsening. Despite challenges like historical animosities and power imbalances, mediation remains a crucial tool for managing territorial disputes in the region.
Unique Contribution to Theory, Practice and Policy: Structural realism, constructivism & regional institutionalist theory may be used to anchor future studies on mediation in territorial disputes in East Asia. Mediation offers a constructive mechanism for de-escalating tensions and facilitating dialogue between disputing parties. Promoting mediation as a preferred method for resolving territorial disputes in East Asia can enhance regional peacebuilding efforts and promote a rules-based international order.
Analysis of User Acceptance of E-Learning at SMP NEGERI 10 PENAJAM PASER UTARA Using the UTAUT 2 Model
Authors: Pratama Maulana Adhie , Hadisaputro Elvin Leander
Published: June 2024

The rapid development of information and communication technology has encouraged the use of electronic media in education, giving rise to a new paradigm in learning through e-learning. E-learning provides benefits such as access to various learning resources and improving the quality of student-centered learning. This research analyzes the factors that influence student satisfaction in using e-learning by adopting the UTAUT (Unified Theory of Acceptance and Use of Technology) model and evaluates their intention to continue using this technology. The research was conducted at SMP Negeri 10 Penajam Paser Utara using a Moodle-based Learning Management System (LMS). Data was collected through an online survey with Google Forms from a sample of active students using e-learning in 2023. The results of the analysis show that the research model has good validity and reliability. Research findings indicate that habitual factors have a significant influence on usage intentions, which in turn influence usage behavior. Performance expectations also influence the intention to use e-learning.
Influence of Work Stress and Workload on Work Motivation and Its Impact on the Performance of Class II Land Transportation Management Center Employees in South Sumatra
Authors: Riduan M , Helmi Sulaiman , Gunarto Muji , Trisninawati Trisninawati
Published: June 2024

This study provides valuable insights into the impact of work stress and workload on work motivation and subsequent employee performance at the Class II Land Transportation Management Center in South Sumatra. Employing a quantitative approach with a descriptive research design, the survey method is used to collect data, aligning with the positivist philosophy. Data is gathered through a structured questionnaire administered at the Office of Class II South Sumatra Land Transportation Management Hall from January to February. Results reveal a negative influence of work stress and workload on employee performance, although work motivation shows no significant correlation. Nevertheless, work motivation positively affects employee performance, independent of work stress and workload. These findings have practical implications for improving workplace conditions and enhancing employee productivity and job satisfaction. Recommendations for future research include further exploration of potential mediating factors, in-depth investigations into strategies for reducing work stress and workload, longitudinal studies to track changes in work motivation and performance, and comparative analyses with similar offices to gain insights into transportation sector dynamics
PERSONALIZED HEALTHCARE AS AN INDICATOR OF PATIENT RESILIENCE
Authors: Čupić Marija , Babić Dragan
Published: June 2024

Personalized healthcare, tailored to individual characteristics, has gained prominence in the modern healthcare systems. This comprehensive review explores the various aspects of personalized healthcare and its impact on patient resilience.The review incorporates a synthesis of literature from multiple disciplines, including genetics, psychology, nutrition, and environmental factors. It analyzes the role of personalized health care in enhancing patient resilience, considering genetic predisposition, psychological aspects, nutrition, environmental influences, individualized treatment plans, treatment outcomes, challenges, and future directions.Genetic analysis is crucial for identifying patients' predispositions and making personalized treatment decisions. Psychological factors significantly influence patient resilience, with adaptable therapeutic approaches to enhance psychological resilience. Personalized dietary recommendations, based on individual needs and genetic factors, improve overall health. Environmental factors, such as air quality and stress, impact patient well-being, and personalized care involves monitoring and reducing these risks. Integrating these aspects into individualized treatment plans leads to improved outcomes and quality of life. Real-world examples confirm the effectiveness of personalized healthcare in strengthening patient resilience.Personalized health care plays a vital role in enhancing patient resilience. It offers tailored treatment plans that address individual characteristics, resulting in improved treatment outcomes and quality of life. Keywords:personalized health care, indicator, resilience, patient
Theoretical Assessment of Different Aviation Fuel Blends based on their Physical-Chemical Properties
Authors: Mirea Radu , Cican Grigore
Published: June 2024

The current study focuses on the theoretical assessment of Sustainable Aviation Fuels (SAFs) obtained by blending traditional jet fuel (Jet A) and different liquids (biodiesel and alcohols) from an analytical point of view. Aeroshell 500 oil was added (5% vol.) to ensure the lubrication of the turbo engine. An in-depth analysis of the physical-chemical properties of Jet A fuel blended with different biodiesels and alcohols was performed. The considered blends consisted of Jet A fuel and biodiesel from palm oil, pork fat, and sunflower and methanol, ethanol, and butanol. All six liquids were mixed with Jet A by 10, 20 and 30%. Flash point, kinematic viscosity, density, freezing point, elemental analysis, and FTIR analysis were conducted for all the blends. The acquired results show the influence of each component on the physical-chemical properties of the blends. Based on the physical-chemical analysis of the blends, conclusions on the latter’s behavior during burning were drawn and the gaseous pollutants resulting from the burning process were examined.
Current Loop Control of Jet Fan Motors in Thu Thiem Tunnel by the Exact Linearization Method
Authors: Anh An Thi Hoai Thu , Khoi Tran Van , Thai Lam Quang
Published: June 2024

The Thu Thiem road tunnel located deep under the Saigon River is currently ventilated by a system of 12 jet fans that push dust and dirty air out into the environment. These jet fans are driven by Induction Motors (IMs) modeled by mathematical equations on the structural nonlinear dq coordinate system, so the conventional linear controllers partly fail to meet the response requirements. Therefore, this paper proposes the application of the exact linearization control method for the current loop in the Field Oriented Control (FOC) structure of an IM that drives a jet fan of the Thu Thiem road tunnel. This is a control method based on a linearization model with cascaded loops. The stator current controller controls two currents: isd controls the flux, and isq controls the torque. The control design is verified by the simulation results on Matlab/Simulink with data collected from the jet fan system of the Thu Thiem road tunnel.
A Solution for Energy-Efficient Operation of Urban Electric Trains: Integrating Rooftop PV with the Active Rectifier in the Traction Substation
Authors: Anh An Thi Hoai Thu , Cuong Tran Hung
Published: June 2024

The utilization of renewable sources connected to a grid to reduce traction substation installation costs and electrified trains' operation energy is a highly promising solution in the electric transportation field. This study proposes a DC traction power supply system integrated with a solar energy system using a DC-DC boost converter and an active rectifier replacing a diode located at the traction substation. The active rectifier not only recovers regenerative braking energy when electric trains operate in braking mode but also transfers solar energy from the DC bus to the grid. With the characteristics of urban railway lines utilizing high-power traction motors and high-voltage DC bus, this paper presents the structure of the Modular Multilevel DC-DC boost converter in the solar energy system employing the Maximum Power Point Tracking (MPPT) algorithm, whereas the modular multilevel active rectifier utilizes the Voltage Oriented Control (VOC) algorithm with three loop circuits: phase-lock loop, current loop, and voltage loop. Simulation results in Matlab/Simulink with parameters collected from the Nhon-Hanoi station urban railway line in Vietnam demonstrate that the PV system produces almost 37% of the energy in the accelerating phase of electric trains.
Quasi-Continuous Tidal Datum for Peninsular Malaysia using Tide Gauge, Satellite Altimetry, and Tide Model Driver (TMD) Data
Authors: Abd Rahman Mohd Faizuddin , Din Ami Hassan Md , Mahmud Mohd Razali , Hamden Mohammad Hanif
Published: June 2024

Conventionally, information from the tide gauge stations was used to establish the localized tidal datum. However, limitations in coverage, due to the sparse station distribution along the coast, have caused insufficient tidal datum information in some areas. Therefore, this study aims to develop the Peninsular Malaysia Quasi-Continuous Tidal Datum (PMQCTD) by integrating tide gauges, satellite altimetry, and Tide Model Driver (TMD) data. The research methodology includes data acquisition from 12 Departments of Survey and Mapping Malaysia (DSMMs) tide gauge stations along the coast of Peninsular Malaysia, satellite altimetry data of TOPEX, Jason-1, Jason-2, and GEOSAT Follow-On (GFO) from Radar Altimeter Database System (RADS), and the global hydrodynamic model from TMD. The tide gauge, satellite altimetry, and TMD data encompass 23 years of tidal observation data from 1993 to 2015. For the derivation of the tidal datum, tide gauge, and satellite altimetry data were analyzed following a harmonic analysis approach in the Unified Tidal Analysis and Prediction (UTide) software. Meanwhile, for the TMD data, the tidal datum was determined based on the tidal prediction from the 11 extracted major tidal constituents. For compatibility in data integration, the derived Lowest and Highest Astronomical Tide (LAT and HAT) from tide gauge, satellite altimetry, and TMD data were referenced to the Mean Sea Level (MSL), denoted as LATMSL and HATMSL, respectively. Next, the LATMSL and HATMSL were interpolated employing Inverse Distance Weighting (IDW) to develop the PMQCTD (LATMSL and HATMSL) with the ArcGIS software. The statistical assessment indicated that the established PMQCTD (LATMSL and HATMSL) has a better agreement with the DSMM tide gauges with a Root Mean Square Error (RMSE) of ± 0.228 m for LATMSL and ± 0.159 m for HATMSL In conclusion, the establishment of PMQCTD (LATMSL and HATMSL) has led to the availability of the tidal datum at any location along the coast of Peninsular Malaysia.
Transforming Physical Crime Scene into Geospatial-based Point Cloud Data
Authors: Azmil Rabi'atul'Adawiyah , Mohd Ariff Mohd Farid , Razali Ahmad Firdaus , Azmy Suzanna Noor , Darwin Norhadija , Idris Khairulnizam M.
Published: June 2024

Terrestrial Laser Scanning (TLS) and Close-Range Photogrammetry (CRP) are advanced techniques for capturing 3D data in crime scene reconstruction, offering complementary information. Despite taking multiple scans and images from different angles to ensure a comprehensive model, limitations, such as device positioning, shadows, object distance, and laser beam angles prevent the creation of a complete crime scene model. Therefore, combining TLS and CRP data is crucial for achieving a comprehensive reconstruction. This study aims to transform a physical crime scene into a geospatial-based reconstructed model known as point clouds. The technique used was highly rich in realistic features, digitally reconstructed from TLS and CRP. The data sources were then fused via a rigid body transformation, creating a comprehensive crime scene model. The combined point cloud measurements were compared with measurements obtained from a high-precision Vernier caliper to ascertain their accuracy. The resulting Root Mean Square (RMSE) difference between the fused point cloud data and the high-precision caliper measurements was approximately ±4mm. The fusion of TLS and CRP data provides reliable and highly accurate 3D model point clouds, making it suitable for forensic applications.
Optimized Grid-Connected Hybrid Renewable Energy Power Generation: A Comprehensive Analysis of Photovoltaic, Wind, and Fuel Cell Systems
Authors: Al-Ani Mohamed A. J. , Zdiri Mohamed Ali , Ben Salem Fatma , Derbel Nabil
Published: June 2024

This paper provides a comprehensive analysis of a grid-connected hybrid microgrid system that seamlessly integrates renewable energy sources, encompassing wind generators, solar arrays, and Fuel Cells (FCs). Emphasis is placed on the pivotal role of power electronic converters in optimizing control and energy management strategies for these diverse sources. The wind and solar subsystems employ Perturb and Observe (P&O) controllers to achieve Maximum Power Point Tracking (MPPT). Additionally, the study delves into the analysis and control design of the grid-connected hybrid system inverter, employing a Proportional-Integral (PI) control technique in the synchronous d-q frame to maximize the output voltage response and active power. In managing renewable grid energy based on artificial neural networks (ANNs), the main goal is to address grid availability concerns by prioritizing renewable sources. The hybrid system acts as a backup during grid unavailability and simultaneously produces hydrogen via electrolysis. The excess energy is seamlessly supplied to the grid upon filling the hydrogen tank. The proposed solution shows great promise for use in renewable energy management systems that combine hybrid technologies.
Parameter Estimation of Photovoltaic Cell using Transit Search Optimizer
Authors: Abdel Maksoud Hady El Said , Shaaban Shaaban M.
Published: June 2024

In the evaluation of a Photovoltaic (PV) system's performance, precise calculation of the system's parameters is essential, as these parameters significantly influence its efficiency across various sunlight intensities, temperature ranges, and distinct load conditions. Addressing the intricate non-linear optimization problem of pinpointing these PV system parameters, the current research adopts a novel metaheuristic optimization approach, called Transit Search (TS). The proposed technique was rigorously tested on a monocrystalline solar panel, which included both single and double-diode model structures. The design of the objective function within this framework aims to diminish the square root of the average squared discrepancies between theoretical and measured current outputs, while remaining within the established parameter bounds. The proficiency of the TS algorithm was highlighted by employing a variety of statistical error indicators, underlining the latter’s effectiveness. When pitted against other established optimization algorithms through comparative analysis, TS demonstrated outstanding capabilities, evidently outperforming its contemporaries in the accurate determination of PV system parameters.
A Study on the Enhancement of the Large-Scale Construction Project Capability of Project Management Boards
Authors: Tran The Van , Nguyen Tuan Anh , Hoang Thao Minh
Published: June 2024

This article analyzes the data collected from the general public and experts in the industry in order to assess the current situation and propose solutions to improve the capability of project management boards of large-scale construction projects in Vietnam. A dataset of 129 survey respondents, whose reliability has been validated with the Cronbach's alpha and the Exploratory Factor Analysis (EFA) test, was constructed. The remaining 24 factors were organized into 8 factor groups that influence the project management capability. Group I, which had the greatest impact, is the legal procedures group, followed by the project deployment process group, down to Group VIII, which is the project risk management group. The results of this study help large-scale construction companies find effective solutions to improve the quality of their projects and increase their competitive capacity in the domestic and international markets.
Precision Agriculture based on Machine Learning and Remote Sensing Techniques
Authors: Alaieri Fahad
Published: June 2024

In today's rapidly evolving agricultural landscape, the integration of precision techniques and data-driven approaches has become essential, driven by technological innovations, such as the Internet of Things (IoT), Artificial Intelligence (AI), and cutting-edge aerial and satellite technologies. Precision agriculture aims to maximize productivity by closely monitoring soil health and employing advanced machine learning methods for precise data analysis. This study explores the evaluation of soil quality, placing particular emphasis on leveraging remote sensing technology to collect comprehensive data and imagery to analyze soil conditions related to olive cultivation. By harnessing cloud platforms integrated with satellite data, several analytical tools are made available, offering valuable insights for informed decision-making and operational efficiency across various sectors. Furthermore, this study introduces an AI-driven application tailored to predict the soil moisture levels. This application facilitates in-depth analysis, feature extraction, and the prediction of different vegetation indices using time-series satellite imagery. The study's findings highlight the exceptional accuracy achieved by the decision tree and extra tree regression models, with soil moisture estimation reaching approximately 91%, underscoring the importance and effectiveness of the proposed method in advancing agricultural practices.
Analyzing Cost Deviation Factors in Iraqi Construction Projects: A Comprehensive Examination of Influencing Variables
Authors: Mohammed Safaa Adnan , Hasan Afrah
Published: June 2024

Construction projects suffer from many difficulties and complications, including cost deviations due to multiple factors. The research goal of this study is to explore the factors causing cost deviation in Iraqi construction projects. Twenty-five influencing factors were identified, based on previous studies and expert opinions. One hundred questionnaires were distributed to project participants, including contracting companies, consultants, and employers, with a 73% response rate. Relative Importance Index (RII) was used to analyze the findings. The results showed that the five most influential factors are poor planning approaches, contracting companies' financial difficulties, poor site management, poor project management/poor cost control, and inaccurate cost estimates. In order to reduce cost deviations, a set of improvements was recommended based on the results of the study.
Predicting the Severity of Accidents at Highway Railway Level Crossings of the Eastern Zone of Indian Railways using Logistic Regression and Artificial Neural Network Models
Authors: Chhotu Anil Kumar , Suman Sanjeev Kumar
Published: June 2024

Road-railroad level crossing accidents pose serious safety risks to road users, and their significant increase requires more research efforts to propose substitute solutions. Such a solution must consider the impact of intersection geometry, user perception, traffic characteristics, driver behavior, environment, and seasonal variations on accidents. This study explores the considerable number of such accidents and develops a predictive model using all the factors that influence them. For these objectives, data were collected from databases maintained by the zonal head office of the East Central Railway (ECR) in India. Data included 175 level crossings that experienced at least one accident between 2006 and 2021 in the ECR region. This study presents two accident prediction models using logistic regression and ANN for the predominant factors of accidents in the ECR zone of Indian railways. The accuracy of fatal accident prediction was 96% for logistic regression and 98% for ANN.
Urban Development Analysis using GIS and Remote Sensing. The Case Study of Makkah City
Authors: Helal Medhat M. , Eldamaty Tarek A.
Published: June 2024

Makkah Al-Mukarramah has undergone significant urban transformation in recent decades, transitioning from non-urban to urban landscapes driven by fast economic growth. This study aims to analyze the increase in population, urbanization, topography, and land use of Makkah City over the past 20 years, from 2000 to 2020. Makkah holds special significance for the Saudi government due to its religious and regional prominence, resulting in remarkable developmental strides within short timeframes. This has led to a surge in population and spatial expansion towards the city's outskirts, bringing about both quantitative and qualitative changes in the city. The growth rate in Makkah was 2.453% in 2020 and 2% in 2010, indicating a trajectory conducive to future land use/land cover planning. The population has shown remarkable growth, rising from 1,294,000 in 2000 to 1,578,722 in 2010 (22% increase) and further reaching 2,017,793 in 2020 (27.81% increase), nearly doubling over the two-decade span. The city's area expanded to 465 Km2 in 2020, compared to 388 Km2 in 2010 and 366 Km2 in 2000, attributed to a notable increase in the number of districts from 60 in 2010 to 101 in 2020, marking a substantial 68.3% rise. This study used a map scale of 1:300,000 to classify features, such as mountains, urban areas, deserts, and roads. The results indicate a decrease in mountains and deserts, while urban areas and roads have increased, aligning with the population growth observed over the two decades.