bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH KOMITMEN DAN KEPUASAN PASIEN BPJS TERHADAP WORD OF MOUTH DI RAWAT JALAN RSU PKU MUHAMMADIYAH YOGYAKARTA
Authors: Salim Nasiatul Aisyah , Runggandini Sekar Ayu
Published: August 2024

The roadmap towards National Health Insurance (JKN) targets that by 2019 all Indonesian residents will be covered by JKN. One way to achieve this program is to encourage community participation and increase membership compliance. However, some independent participants (non PBI) who have registered, drop out from BPJS Health participants. Patients will have a high commitment if the service provider respects the patient. So that the possibility of dropping out of BPJS health participants is the dissatisfaction of BPJS Health participants with services at the hospital. The impact to patient dissatisfaction is to tell ten to eleven people because 78 % of Indonesia consumers trust what friends say more. This study aims to determine the effect of BPJS patient commitment and satisfaction on word of mouth in outpatient services at PKU Muhammadiyah Yogyakarta General Hospital. This research is a quantitative study with a cross sectional approach. The sample is 100 people with accidental sampling  technique. Data analysis using multiple linear regression tests. The results of the analysis shows that the commitment and satisfaction of BPJS patients has an influence on word of mouth in outpatient services at PKU Muhammadiyah Yogyakarta Hospital. So that PKU Muhammadiyah Yogyakarta Hospital data increases the commitment and satisfaction of BPJS patients in outpatient services by paying attention to word of mouth.
High-resolution Transmission Spectroscopy of Warm Jupiters: An ESPRESSO Sample with Predictions for ANDES
Authors: Prinoth Bibiana , Sedaghati Elyar , Seidel Julia V. , Hoeijmakers H. Jens , Brahm Rafael , Thorsbro Brian , Jordán Andrés
Published: August 2024

Warm Jupiters are ideal laboratories for testing the limitations of current tools for atmospheric studies. The cross-correlation technique is a commonly used method to investigate the atmospheres of close-in planets, leveraging their large orbital velocities to separate the spectrum of the planet from that of the star. Warm Jupiter atmospheres predominantly consist of molecular species, notably water, methane, and carbon monoxide, often accompanied by clouds and hazes muting their atmospheric features. In this study, we investigate the atmospheres of six warm Jupiters, K2-139 b, K2-329 b, TOI-3362 b, WASP-130 b, WASP-106 b, and TOI-677 b, to search for water absorption using the ESPRESSO spectrograph, reporting nondetections for all targets. These nondetections are partially attributed to planets having in-transit radial velocity changes that are typically too small (≲15 km s−1) to distinguish between the different components (star, planet, Rossiter-McLaughlin effect, and telluric contamination), as well as the relatively weak planetary absorption lines as compared to the signal-to-noise ratio of the spectra. We simulate observations for the upcoming high-resolution spectrograph ANDES at the Extremely Large Telescope for the two favourable planets on eccentric orbits, TOI-3362 b and TOI-677 b, searching for water, carbon monoxide, and methane. We predict a significant detection of water and CO, if ANDES indeed covers the K-band, in the atmospheres of TOI-677 b and a tentative detection of water in the atmosphere of TOI-3362 b. This suggests that planets on highly eccentric orbits with favourable orbital configurations present a unique opportunity to access cooler atmospheres.
Atmospheric Characterization of the Super-Jupiter HIP 99770 b with KPIC
Authors: Zhang Yapeng , Xuan Jerry W. , Mawet Dimitri , Wang Jason J. , Hsu Chih-Chun , Ruffio Jean-Bapiste , Knutson Heather A. , Inglis Julie , Blake Geoffrey A. , Chachan Yayaati , Horstman Katelyn , Baker Ashley , Bartos Randall , Calvin Benjamin , Cetre Sylvain , Delorme Jacques-Robert , Doppmann Greg , Echeverri Daniel , Finnerty Luke , Fitzgerald Michael P. , Jovanovic Nemanja , Liberman Joshua , López Ronald A. , Morris Evan , Pezzato Jacklyn , Sappey Ben , Schofield Tobias , Skemer Andrew , Wallace J. Kent , Wang Ji , Do Ó Clarissa R.
Published: August 2024

Young, self-luminous super-Jovian companions discovered by direct imaging provide a challenging test for planet formation and evolution theories. By spectroscopically characterizing the atmospheric compositions of these super-Jupiters, we can constrain their formation histories. Here we present studies of the recently discovered HIP 99770 b, a 16 M
Jup high-contrast companion on a 17 au orbit, using the fiber-fed high-resolution spectrograph KPIC (

R

∼ 35,000) on the Keck II telescope. Our K-band observations led to detections of H2O and CO in the atmosphere of HIP 99770 b. We carried out free retrieval analyses using petitRADTRANS to measure its chemical abundances, including the metallicity and C/O ratio, projected rotation velocity (

v
sin
i

), and radial velocity (RV). We found that the companion’s atmosphere has C/O

=

0.55

−
0.04

+
0.06

and [M/H]

=

0.26

−
0.23

+
0.24

(1σ confidence intervals), values consistent with those of the Sun and with a companion formation via gravitational instability or core accretion. The projected rotation velocity

v
sin
(
i
)
<
7.8

km s−1 is small relative to other directly imaged companions with similar masses and ages. This may imply a nearly pole-on orientation or effective magnetic braking by a circumplanetary disk. In addition, we added the companion-to-primary relative RV measurement to the orbital fitting and obtained updated constraints on orbital parameters. Detailed characterization of super-Jovian companions within 20 au like HIP 99770 b is critical for understanding the formation histories of this population.
Extended Shock Breakout and Early Circumstellar Interaction in SN 2024ggi
Authors: Shrestha Manisha , Bostroem K. Azalee , Sand David J. , Hosseinzadeh Griffin , Andrews Jennifer E. , Dong 董 Yize 一泽 , Hoang Emily , Janzen Daryl , Pearson Jeniveve , Jencson Jacob E. , Lundquist M. J. , Mehta Darshana , Ravi Aravind P. , Meza Retamal Nicolás , Valenti Stefano , Brown Peter J. , Jha Saurabh W. , Macrie Colin , Hsu Brian , Farah Joseph , Howell D. Andrew , McCully Curtis , Newsome Megan , Padilla Gonzalez Estefania , Pellegrino Craig , Terreran Giacomo , Kwok Lindsey , Smith Nathan , Schwab Michaela , Martas Aidan , Munoz Ricardo R. , Medina Gustavo E. , Li Ting S. , Diaz Paula , Hiramatsu Daichi , Tucker Brad E. , Wheeler J. C. , Wang Xiaofeng , Zhai Qian , Zhang Jujia , Gangopadhyay Anjasha , Yang Yi , Gutiérrez Claudia P.
Published: August 2024

We present high-cadence photometric and spectroscopic observations of supernova (SN) 2024ggi, a Type II SN with flash spectroscopy features, which exploded in the nearby galaxy NGC 3621 at ∼7 Mpc. The light-curve evolution over the first 30 hr can be fit by two power-law indices with a break after 22 hr, rising from M

V
≈ −12.95 mag at +0.66 day to M

V
≈ −17.91 mag after 7 days. In addition, the densely sampled color curve shows a strong blueward evolution over the first few days and then behaves as a normal SN II with a redward evolution as the ejecta cool. Such deviations could be due to interaction with circumstellar material (CSM). Early high- and low-resolution spectra clearly show high-ionization flash features from the first spectrum to +3.42 days after the explosion. From the high-resolution spectra, we calculate the CSM velocity to be 37 ± 4 km s−1. We also see the line strength evolve rapidly from 1.22 to 1.49 days in the earliest high-resolution spectra. Comparison of the low-resolution spectra with CMFGEN models suggests that the pre-explosion mass-loss rate of SN 2024ggi falls in the range of 10−3–10−2
M
☉ yr−1, which is similar to that derived for SN 2023ixf. However, the rapid temporal evolution of the narrow lines in the spectra of SN 2024ggi (R
CSM ∼ 2.7 × 1014 cm) could indicate a smaller spatial extent of the CSM than in SN 2023ixf (R
CSM ∼ 5.4 × 1014 cm), which in turn implies a lower total CSM mass for SN 2024ggi.
Assessment of the quality of bread made from ancient wheat flour with the addition of amaranth, flax and hemp seeds
Authors: Jarecki Wacław , Tobiasz-Salach Renata , Augustyńska-Prejsnar Anna
Published: August 2024

Consumers are increasingly seeking bakery products with better nutritional value and health benefits. The aim of the research was to assess the quality of bread made from ancient wheat flours (spelt, einkorn, emmer) with the addition of amaranth (Amaranthus cruentus L.), hemp (Cannabis sativa L.) and flax (Linum usitatissimum L.) seeds. The study evaluated bread made using only equal proportions of ancient wheat flours (Group I), and three variants of bread with the addition of amaranth, flax, and hemp seeds with the following proportions: Group II (10%, 5%, 5%, respectively), Group III (10%, 10%, 0%, respectively), Group IV (10%, 0%, 10%, respectively). The assessment of bread quality included: nutritional value (total protein, fat, fatty, amino acids, acid profile, ash, fiber, minerals), caloric value, physical characteristics (baking loss, color, shear force) and evaluation of organoleptic characteristics. It was demonstrated that bread enriched with amaranth, flax, and hemp seeds exhibited increased nutritional value (higher protein content with a favorable amino acid profile, higher fat content, including polyunsaturated fatty acids, and fiber), acceptable sensory attributes, but darker crust color and poorer crumb texture compared to bread without these additives. Among the examined groups, the highest protein and fat content with a favorable composition of fatty acids were observed in bread from Group IV. Group III bread had the highest hardness and fiber content and fiber content. On the other hand, bread from Group II received the best evaluation in terms of taste, aroma, as well as crust thickness.
Choline kinase and miR-32-5p: A crucial interaction promoting apoptosis and delaying wound repair in cervical cancer cells
Authors: Raikundalia Sweta , Few Ling Ling , Hassan Siti Asma' , Yvonne-Τee Get Bee , Too Wei Cun See
Published: August 2024

Cervical cancer remains a significant global health challenge, especially in low- and middle-income countries. The elucidation of the molecular pathways underlying the carcinogenesis of cervical cancer is vital to develop targeted therapies. Our study investigates the regulatory effects of miR-32-5p on the choline kinase alpha (chka) gene in HeLa cells, a well-established cervical cancer cell line. Choline kinase alpha is recognized for its role in phosphatidylcholine biosynthesis, which is crucial for cell membrane formation, and is implicated in the oncogenic transformation of cells. Utilizing a combination of in silico prediction, luciferase assays, RT-qPCR, and Western blot analyses, we demonstrated that miR-32-5p directly targets the 3′ untranslated region (3′UTR) of chka mRNA, leading to a significant downregulation of chka expression. Our results demonstrate that miR-32-5p significantly downregulates chka at both the mRNA and protein levels, thus leading to decreased cellular proliferation and increased apoptosis. This was further confirmed by a cell cycle analysis, which showed a notable arrest in the G0/G1 phase. Additionally, scratch assays indicated a reduced migratory capacity in miR-32-5p-transfected cells, suggesting the potential anti-metastatic properties of miR-32-5p. These findings highlight the therapeutic potential of miR-32-5p as a biomarker and a target in cervical cancer treatment strategies. By modulating chka expression, miR-32-5p could serve as a novel approach to curb the progression and spread of cervical cancer, thus offering a promising avenue for future research and clinical applications. This study contributes to the growing understanding of miRNA-mediated gene regulation in cancer biology and underscores the importance of targeted genetic research in the development of cancer therapeutics.
An almost second order uniformly convergent method for a two-parameter singularly perturbed problem with a discontinuous convection coefficient and source term
Authors: Chandru M. , Prabha T. , Shanthi V. , Ramos H.
Published: August 2024

In this paper, we discuss a higher-order convergent numerical method for a two-parameter singularly perturbed differential equation with a discontinuous convection coefficient and a discontinuous source term. The presence of perturbation parameters generates boundary layers, and the discontinuous terms produce interior layers on both sides of the discontinuity. In order to obtain a higher-order convergent solution, a hybrid monotone finite difference scheme is constructed on a piecewise uniform Shishkin mesh, which is adapted inside the boundary and interior layers. On this mesh (including the point of discontinuity), the present method is almost second-order parameter-uniform convergent. The current scheme is compared with the standard upwind scheme, which is used at the point of discontinuity. The numerical experiments based on the proposed scheme show higher-order (almost second-order) accuracy compared to the standard upwind scheme, which provides almost first-order parameter-uniform convergence.
Advancing healthcare with AI: designing frameworks for diagnostics, personalized treatment, and enhanced efficiency
Authors: Akinola Segun
Published: August 2024

The integration of artificial intelligence (AI) into healthcare has ushered in transformative advancements. In diagnostics, AI has revolutionized precision by excelling in radiology, pathology, and novel approaches like liquid biopsy analysis. Personalized treatment plans benefit from AI's ability to tailor interventions, minimizing risks and maximizing therapeutic efficacy. Administrative efficiency sees notable improvements as AI automates tasks, optimizes resource allocation, and addresses scalability challenges. Ethical considerations, encompassing data privacy, algorithmic bias, and transparency, are crucial for responsible AI adoption. Guided by the fair principles, stakeholders can promote fairness, accountability, and transparency. Findings in this paper reveal AI's rapid advancements in healthcare enhance diagnostics, surgery, and patient care, yet reliance on its accuracy requires caution. The future of AI in healthcare relies on ongoing collaboration, research, and adherence to ethical frameworks, promising a patient-centered and equitable healthcare landscape.
LPCE-Based Replacement Scheme for Enhancing Caching Performance in Named Data Networking
Authors: Nassane Samir , Mostefaoui Sid Ahmed Mokhtar , Mebarek Bendaoud , Alem Abdelkader
Published: August 2024

The substantial surge in users has adversely impacted the performance of the present IP-based Internet. Named data networking (NDN) emerges as a future alternative, given its distributed content caching system, where data can be cached in multiple routers and retrieved from the closest one instead of the original producer, enhancing content availability, reducing latency, and minimizing data loss. This paper introduces the less popular content eviction (LPCE) policy, a novel cache replacement scheme designed to enhance the caching performance of the conventional LFU (least frequently used) policy in NDN routers, thereby improving overall network efficiency. The proposed method subsumes LFU and FIFO (first in first out) policies and employs an additional list controlled by the LRU (least recently used) policy. Utilizing the ccnSim simulator, we conduct a comparison of LPCE’s performance with that of the LFU technique and other competing caching techniques, considering variations in several simulation parameters. Experimental results reveal that the proposed LPCE algorithm excels over others across a majority of performance metrics, such as cache hit ratio, content delivery delay, upstream hop count, network traffic, and producers’ load. Besides, the findings indicate that LPCE outperforms LFU, with an increase in cache hit ratio ranging from 1.32% to 5.75%.
Harnessing Educational Big Data Analytics for Decision-Making in Enhancing School Teaching Quality
Authors: Yang Yanan , Xia Nan
Published: August 2024

The application of educational big data analytics holds significant importance in enhancing decision-making processes for school teaching quality. This study explores the effective utilization of educational big data analytics technologies to support the improvement of teaching quality in schools. Initially, the challenges and needs faced by current school teaching quality decision-making were analyzed, highlighting the critical role of educational big data analytics in this context. Subsequently, the limitations and gaps in existing study were identified through a review of related studies, underscoring the study value of this study. Based on this foundation, this study progresses through an examination of the decision-making factors that influence school teaching quality, problem description and model assumptions, construction of decision models, and model solutions using genetic algorithms. By analyzing key factors and constraints in the decision-making process for school teaching quality and integrating optimization algorithms, a viable decision support model was proposed and empirically analyzed. This study aims to provide a scientific basis for school administrators and decision-makers, thereby promoting continuous improvement in school teaching quality.
Bilma
Authors: Schulz Erhard , Adamou Aboubacar
Published: August 2024

The Bilma-pollen record (NE-Niger)-reaching down to the Late Pleistocene- evidences that up to the 7th millennium BP the Central and a mixed plant cover out of Acacia-dominated savannas and some Sudanian vegetation units around lakes and along rivers. However, these Sudanian elements reached only to 20o N and disappeared around 5000 BP. The Acacia-Panicum –savannas - of various densities - dominated from that time on. Achabs (short time- grass and herb floras) could reach to large extensions and represented the aleatoric component of vegetation – and food resources. Climatically these regions were characterised by an intensive interaction of monsoon and harmattan giving chances for rainfall the year round. Fire was a permanent phenomenon in the various landscapes. People had two main sources for alimentation: As hunter-gatherer they could base on various plant resources and fishing and game. From surveys on the traditional plant use and alimentation in the desert of northern Niger we could estimate the collecting resources for the human population in the Late Pleistocene and Holocene
Improving Solar Still Performance With Porites Coral Biomaterial
Authors: Shanmugam Manoj Kumar , Sathishkumar S. , Mohankumar G. B. , Girimurugan Ramasamy , Sharma Achintya
Published: August 2024

The most benefits of solar desalination are that it is cheap and environmentally good. This study investigated the potential of a novel biomaterial called Porites coral to enhance the efficiency of solar stills by storing energy in a porous medium. The final product was dubbed Coral Solar Still System (CSSS). When light levels are low, the Porites coral biomaterial releases the heat it has stored into the sea. The porous surface of the Porites coral also makes it a great absorber, which causes the water to get hotter since a lot of solar energy gets absorbed. The research was conducted based on the weather conditions observed in Thoothukudi, India. Results demonstrate a 12.6% improvement in productivity as compared to the conventional solar still (CSS) when energy storage was accomplished utilising a porous media containing Porites coral. When compared to the CSS, the CSSS achieved a 13% increase in energy efficiency and an 11% improvement in exergy efficiency.
Performance Management Does Not Focus Enough on Ethics
Authors: Rathnayake Nilmini
Published: August 2024

This chapter aims to explore the ethical considerations inherent in performance management, with a focus on the regional variations in ethical frameworks across different parts of the globe. Using a review of existing literature related to the ethical implications of performance evaluation practices in various regions, including America, Asia, Middle East, Europe, and Africa. By analysing the cultural and institutional factors that influence perceptions of ethics in performance management, this chapter sheds light on the differences in ethical standards and practices across different geographical regions. In addition, focuses on the ethical dilemmas faced by organizations and managers in performance evaluation processes, such as bias, fairness, transparency, and accountability. Furthermore, discuss strategies to promote fairness, integrity, and trust within organizations. By synthesizing insights from the literature this chapter provides valuable guidance to enhance the ethical dimension of performance management practices.
The Pulse of Performance
Authors: Kaur Jaspreet
Published: August 2024

In the dynamic landscape of healthcare, motivating nurses is pivotal for sustaining high performance and ensuring optimal patient care outcomes. This study explores innovative approaches to nurse motivation, examining strategies such as recognition programs, professional development initiatives, and technology-driven solutions. By acknowledging the unique challenges faced by nurses and addressing intrinsic and extrinsic motivators, healthcare organizations can cultivate a positive work environment that fosters engagement, satisfaction, and retention. Through case studies and empirical research, this study highlights the impact of motivational interventions on nurse performance and organizational effectiveness. By prioritizing nurse motivation, healthcare leaders can cultivate a culture of excellence and resilience, ultimately enhancing the quality of patient care.
Charting Risk
Authors: Udayai Kirti , D. P. Vijayalakshmi , Kumar Piyush , Manjunath Usha
Published: August 2024

In today's complex healthcare landscape, risk management is essential for ensuring patient safety, regulatory compliance, and financial stability in hospitals. The primary objective of hospital risk management is to proactively identify, assess, and mitigate potential threats, aiming to prevent and minimize adverse events, errors, and harm. This chapter provides a comprehensive exploration of risk management practices in hospitals, focusing on various risk categories. The study, centered on the outpatient department (OPD) process, involved consultations with OPD managers, consultants, nurses, quality managers, laboratory and pharmacy departments in charge, and unit in-charges. In-depth interactions and observations, along with an assessment of two years of OPD data, were utilized to identify process bottlenecks. The research spanned five multi-specialty hospitals, each with over 100 beds. Additionally, the chapter develops an OPD risk management framework to guide hospitals in effectively managing risks within the department.
FinTech Strengthening and Healthcare Industry
Authors: Singh Saurabh , Chauhan Kavita , Singh Anurag
Published: August 2024

In the current dynamic era, outdated systems can easily stymie best-intentioned efforts. The healthcare industry, which at the behest holds best intentions towards the wellness of public, has been on its toes to keep systems updated. Innovations in healthcare, however, cannot be restricted to medical aspects only; it has been impacted by non-medical innovations as well. Among non-medical innovations, FinTech holds its own relevance, and events such as COVID-19 speak it all. The convergence of FinTech and the healthcare industry has been observed as a catalyst to deal with some of the most pressing concerns faced by the industry today. FinTech-driven changes that the healthcare industry has witnessed include enhanced customer engagement, better transparency, enhanced claim settlement experience, faster payment processing, and access to affordable insurance. The chapter aims to gain insights on FinTech; Fintech's importance, advantages and challenges; industry scenario; FinTech and healthcare association; and FinTech as game-changer in healthcare.
The Improvements in Significance of AI in Experiential and Medical Tourism
Authors: Barua Ranjit , Datta Sudipto
Published: August 2024

By enhancing specific experiences, simplifying healthcare services, and guaranteeing patient and travel safety, AI integration has completely changed these industries. Artificial intelligence (AI)-powered virtual assistants and recommendation systems in experiential tourism respond to individual preferences by providing personalized recommendations and seamless support during the trip. In the meantime, artificial intelligence (AI) in medical tourism makes it easier to obtain high-quality remote healthcare services by enabling precise diagnosis, customized treatment programs, and virtual healthcare platforms. AI also helps with risk assessment and preventative safety measures, which improves patients' and tourists' overall pleasure and peace of mind. This chapter promises more developments and innovation in the future by highlighting the critical role AI is playing in changing the face of medical and experience tourism.
An Approach to Carbon Neutrality Addressing Obstacles and Remedies in the Framework of Climate Change
Authors: Sharma Shweta , Khurana Manpreet Kaur
Published: August 2024

Global warming and climate change are increasing due to a surge in carbon emissions. The government in response to this issue are actively striving to decrease carbon emissions and achieve a carbon neutrality objective globally. The article thoroughly summarizes the latest advancements in research concerning carbon peaking and neutrality. Additionally, it discusses the idea of carbon neutrality and the strategies governments use to address climate change. The article further, highlights the importance and necessity of achieving carbon neutrality while outlining the strategies to achieve the target. It depicts the obstacles that arise while attempting to meet the carbon neutrality target. The article proposes strategies to attain an economy without carbon emissions by restricting non-renewable energy and transitioning towards renewable sources. Finally, concludes by providing a conceptual understanding and practical solutions for operations, critical tasks, and governmental initiatives that will help to attain a future without carbon emissions.
Sustainable Education Through Government Schemes for Educational Attainment and Development
Authors: Aloysius Edward J. , Sivasubramanian K.
Published: August 2024

Sustainability in education is an integral part of the social empowerment of the people, which involves active enrolment and participation in school education. The literacy rate in India has consistently increased over the last few decades, it was 61.01 per cent in 2001, which increased by 12.79 per cent. Further, the literacy rate grew by 62.75 per cent in 2006, which records a 1.74 per cent increase compared to the 2001 figure. Again, the rate improved to 69.3 per cent in the year 2011, with a growth of 6.55 per cent compared to 2006 data. . The Jawahar Novodaya Vidyalaya is run by the union government except the state of Tamil Nadu to provide quality and free education to the rural poor. Educational schemes like Rashtriya Madhyamik Shiksha Abhiyan also enhanced educational attainment in rural India. Similarly, the mid-day meal scheme also made a great difference among India's disadvantaged sections of society. Around 9.12 crore school students have benefitted from nutritious food.
Adoption of Digital Technologies in the Procurement Process to Improve Supplier Lead Time
Authors: Bhavaani S. Sri , Saha Saibal Kumar , Saha Sangita , Sharma Neeta Dhusia , Jha Ajeya
Published: August 2024

Supply chain is a complicated process involving a number of stakeholders. A proper integration of all the stakeholders helps to improve the efficiency of the system in terms of time, money and effort. Adoption of digital technology has been a hindrance in many industries, thereby affecting their business processes. The study aims to throw light on the adoption of digital technologies in procurement process to improve supplier lead time in the automotive industry. An observational study was conducted in a major automotive supply chain company in South India. Researchers tried to identify the possible contributing factors to improve supplier lead time and derive the root cause of the issue. A framework for an advanced shipping notice portal was created which can help both the supplier and recipient. Digital technology adoption can increase supply chain efficiency, decrease manual error rates, and streamline communication. Additionally, the portal can serve as a centralized hub for data sharing, promoting improved teamwork and real-time information sharing.
Data-Driven Personalization in the Sharing Economy
Authors: Talukder Mohammad Badruddoza , Lina Farhana Yeasmin , Kumar Sanjeev , Khan Musfiqur Rahoman
Published: August 2024

The advent of big data has completely changed the sharing economy and allowed businesses to provide highly customized experiences for their clients. This study explores the relationship between big data analytics and the sharing economy, focusing on peer-to-peer companies like Uber, Airbnb, and others. Businesses can obtain profound insights into their customers' interests, behaviors, and trends by leveraging vast user data. The use of big data analytics enhances customer satisfaction and boosts engagement and loyalty by helping visitors feel more understood and valued. This customized approach provides a competitive advantage in the crowded sharing economy market and boosts good word-of-mouth and retention rates. Businesses must embrace transparent and responsible data practices to guarantee that consumer data is safeguarded and managed according to regulatory standards. This means obtaining users' permission, protecting privacy by anonymizing data, and keeping robust cybersecurity defenses against data breaches.
AI-Driven Crop Yield Prediction and Disease Detection in Agroecosystems
Authors: Waseem Muhammad , Raza Aamir , Malik Abdul
Published: August 2024

Agricultural sustainability is crucial for ensuring global food security. However, traditional farming methods are often inefficient and susceptible to crop diseases, impacting yield and resource utilization. The chapter discusses the potential of Artificial Intelligence (AI) in agriculture, particularly in crop yield prediction and disease detection. AI models can analyze vast agricultural data, such as weather patterns, soil conditions, and historical yield information, to predict crop yields with improved accuracy. AI can also detect crop diseases early, allowing for timely interventions and minimizing yield losses. Integrating plant science enhances these models, providing deeper insights into plant health and disease progression. It emphasizes the role of IoT in collecting real-time data and creating a connected ecosystem. Real-world case studies demonstrate the effectiveness of AI-powered approaches. The chapter calls for collaboration among farmers, researchers, technology developers, and business leaders to implement AI-driven crop yield prediction and disease detection.
Ethical Considerations in the Intersection of AI and Environmental Science
Authors: Mutsuddi Indranil
Published: August 2024

As the world confronts urgent environmental, social, and economic challenges, the potential for AI to drive positive change is increasingly clear. Its impact extends beyond improving productivity and automating tasks, influencing areas such as ethics, social structures, environmental sustainability, and corporate governance. AI can reveal patterns and insights beyond the capabilities of business analysts, leading to more effective and eco-friendly solutions. While AI holds significant promise for revolutionizing waste and environmental management, it also brings challenges, particularly in managing ethical considerations. Ethical concerns, unforeseen consequences, and the risk of worsening existing inequalities necessitate a nuanced understanding of the implications of integrating AI into sustainable development initiatives. This book chapter aims to explore these challenges and highlight ethical issues and considerations to foster a comprehensive understanding of the interplay between AI and effective environmental management.
Future Directio
Authors: Anand Bharathi S. , Vinoth Kumar S. , Rajamohan S. , Unika D. , Prince Jason A. , Hilal Mohamed Ismail Mujahid
Published: August 2024

The convergence of artificial intelligence (AI) and environmental science offers a promising avenue for addressing the pressing challenges of sustainability. This bibliometric analysis explores the synergistic potential of these fields to advance sustainability goals, focusing on how AI can enhance environmental monitoring, resource management, and policy development. By examining a comprehensive collection of studies, the analysis highlights the critical role of AI-driven approaches in optimizing energy usage, reducing waste, and promoting sustainable practices across various sectors. However, the integration of AI into environmental science also presents significant challenges, including ethical considerations, data privacy concerns, and the need for interdisciplinary collaboration. This study underscores the importance of leveraging AI to foster a resilient and sustainable future, emphasizing collaborative efforts among scientists, technologists, and policymakers.
Transforming Smart City and Smart Sustainable Tourism Projecting Artificial Intelligence and IoT
Authors: Singh Bhupinder , Kaunert Christian
Published: August 2024

The swift progress of technology has led to the emergence of the notions of smart cities and smart tourism, which are expected to significantly transform both urban living and travel experiences. Modern technology is used by smart cities to maximize urban services, increase sustainability, and improve the quality of life for their citizens. A subset of this more comprehensive strategy called “smart tourism” focuses on using these technologies to improve travelers' experiences and make their travels more frictionless, educational, and pleasurable. Cities that effectively utilize technology have the potential to improve not just the standard of living for its citizens but also offer tourists unique and sustainable experiences. These ideas will surely be crucial in determining how future cities and tourist destinations are shaped as they develop further. This chapter explores the mutually beneficial link between smart tourism and smart cities, emphasizing the advantages, difficulties, and potential future developments.
Effects of Virtual Tour Guide Performance, Trust, and Satisfaction on Youth's Behavioral Intentions
Authors: Domingo Ardee Glenn , Gomez Lacap Jean Paolo
Published: August 2024

Many scholars recognize the pivotal role of tour guides in crafting the total tourism experience. In the new normal, because of limited mobility, quarantine restrictions, and the fear of getting infected with coronavirus when traveling, virtual tour guiding was introduced to ignite the interests of tourists for future visits. Using PLS-SEM, the study proposed a model on the relationships of virtual tour guide performance, trust, and satisfaction on youths' intentions to visit and recommend Intramuros, a world-renowned tourist attraction in the Philippines. A survey questionnaire was administered to young virtual tourists of Central Luzon and results concluded that virtual tour guiding may serve as the foundation of a very successful marketing campaign for a destination in the post-pandemic world because it was an antecedent of tourist behaviors and intentions. The re-training and upskilling of virtual tour guides in both tour and experience management to ensure satisfaction is essential as the tourism industry is evolving. This is evidenced by the development of SMART destinations.
Structure and Dynamics of Carbon Dioxide inside ”Hot” Ice with Cylindrical Channels
Authors: Novianto Muhammad Ruslan , Ningsih Zubaidah , Hakim Lukman
Published: August 2024

Inclusion compound based on crystalline water is increasingly recognized as a promising solution for carbon dioxide (CO2) capture, either for carbon sequestration from greenhouse gas emissions or for gas mixture separation. Molecular dynamics simulations revealed that water crystallizes into a novel porous structure in a carbon nanobrush environment even at room temperature, thus termed ”hot” ice whose structure code is dtc. This study employs a hybrid Grand Canonical/isothermal-isobaric Monte Carlo (GCMC) simulations to investigate CO2 confinement inside the cylindrical channels of ice dtc structure. The results show that CO2 occupancy, here expressed as CO2-to-water mole ratio, is approximately 2:5 at maximum. The simulations also demonstrate the mechanical stability of ice dtc structure under positive pressures when its voids are filled with CO2. Furthermore, molecular dynamics simulations are performed to provide molecular insights into the structures and dynamics of CO2 inside the porous channels framework. The results show that CO2 molecules form a bilayer structure inside the cylindrical channels, where certain molecule orientation angles are favored. Dynamics analysis shows that CO2 molecules are relatively immobile in all directions at maximum occupancy.
Synthesis and Characterization of Hematite (α-Fe2O3) from Iron Sand Using Coprecipitation Method
Authors: Ramlan Ramlan , Bama Ahkmad Aminudin , Johan Akmal , Naibaho Marzuki , Ginting Masno
Published: August 2024

Hematite (α-Fe2O3) has been synthesized from iron sand using the coprecipitation method. This study aims to determine the morphology and mineral content using SEM-EDX, crystal structure and phases formed using XRD, and magnetic properties using VSM on iron sand before and after synthesis. SEM-EDX results show that the average particle size of iron sand before and after synthesizing is 356.23nm and 12.40 µm, respectively. XRD results show that iron sand before synthesizing has multipahase including Hematite, magnetic, and ilmenite and after synthesizing produces Single Phase hematite. VSM results show that iron sand before synthesizing has saturation, remanence, and coercivity of 47.56 emu/g, 5.97emu/g, and 121.03 Oe respectively, and after synthesizing has saturation, remanence, and coercivity of 9.47 emu/g, 1.53 emu/g and 102.97 Oe respectively.
Forecasting of Inland Fish Production: Case of Catla (Catla catla) and Gift Tilapia (Oreochromis niloticus) Production in Udawalawa Reservoir in Sabaragamuwa Province, Sri Lanka
Authors: Rathnachandra S. D. D. , Malkanthi S. H. P. , Pothuwila R. H.
Published: August 2024

This study focused on assessing and forecasting Catla (Catla catla) and Tilapia (Oreochromis niloticus) production in the Udawalawe reservoir in Sri Lanka using an 11-year time series data from 2010 to 2021. The relevant secondary data were collected from the National Aquaculture Development Authority of Sri Lanka (NAQDA). Unit root tests, Dickey-Fuller tests, and Seasonal Auto Regressive Integrated Moving Average (SARIMA) models and trend analysis were applied for the data analyses. According to the results, stationarity behaviour was observed in both Catla and Tilapia production information series. Hence, SARIMA (2,2,1) (1,0,1)12 is the appropriate empirical model for forecasting Catla production. Furthermore, the maximum average landings of Catla production were observed in the March-June time period. SARIMA (1,0,1) (1,1,1)12 was indicated as the most suitable model to forecast Tilapia production in the reservoir. The maximum average of Tilapia production was also observed in the March-June period. Both the SARIMA model and trend analysis gave approximately equal production information regarding Catla and Tilapia. Thus, these findings showed that the SARIMA model has more accuracy than trend analysis when analysing the time series information for short durations. However, when the duration becomes larger, forecasting is not suitable using the SARIMA model, and trend analysis gives a clear view up to a certain level. Both Catla and Tilapia production exhibited significant changing patterns and multiple seasonalities. Thus, trend analysis gives valuable insights than SARIMA model in long term predictions in case of this study. These findings are highly important for enhancing fish production in this reservoir, as they predict future fish catches under the current reservoir conditions.
Sustainable Agriculture in a Changing Climate: Challenges and Opportunities
Authors: Jayasena Dinesh D.
Published: August 2024

No abstract available
The Impact of Digital Service Quality Dimensions on Customer Satisfaction and Customer Loyalty of Digital Banking in Sri Lanka
Authors: Lakchan U.G.C. , Samaraweera G.C.
Published: August 2024

Digital banking is one of the major services introduced by the banking sector recently to improve the satisfaction level and the loyalty of the customers by providing more efficient and comfortable services. However, sufficient evidence is not available on whether the digital banking quality dimensions improve customer satisfaction and loyalty. Therefore, this study attempted to explore how digital banking service quality dimensions affect customer satisfaction and loyalty. The study was positivistic, and a deductive approach was deployed. Moreover, a multi-stage systematic random sampling technique was used as the sampling technique. The data were collected from the 300 customers who are using digital banking services (Sampath -Vishva digital banking service) in Sampath Bank, Galle Branch. Data were collected by conducting face-to- face interviews using a structured questionnaire and analyzed using SPSS software. Results revealed that digital banking quality factors such as tangibility, responsiveness, privacy, and system availability are the factors that most affected the satisfaction level of the customers who are using digital banking. Accordingly, it was concluded that customer satisfaction is needed to create customer loyalty. Moreover, it was concluded that digital quality dimension cannot directly impact on customer loyalty. Empirical evidence helped to understand the importance of service quality dimensions of digital banking. These findings will help policy makers and financial institutions to develop quality dimensions to improve customer satisfaction and to expand customer retention in the banking sector.
Challenges faced by library staff of academic libraries during the Covid-19 pandemic: University of Sri Jayewardenepura Library experience
Authors: Pathirana Nishaya Nirmani
Published: August 2024

This study attempted to examine the role of the academic libraries and how the libraries handle crises and other related problems during the Covid-19 pandemic. Thus, the study is aimed at investigating the challenges that the library staff of the University of Sri Jayewardenepura (USJ) faced when providing services to its users amidst the Covid-19 pandemic. Accordingly, the main objectives of this research were to examine whether the USJ library performed all routine activities, and whether it provided all facilities at usual times during the pandemic. Further, the study aimed to identify how work scheduling during the pandemic affected staff behavior and to investigate whether the staff faced difficulties when providing library services online. This is a qualitative study and questionnaires and structured interviews were used for the data collection. The research population consisted of the total library staff members of the USJ. Data was analyzed using Microsoft Excel 2019. Based on the results of the analysis, only a few members of the staff did not engage in routine activities during the pandemic. Although a number of difficulties have been mentioned by the respondents when dealing with external parties, alternative measures were also put in place at the USJ library to carry out the routine activities without fail during the pandemic. Though there were a list of activities which could not be performed during the pandemic, some services were provided remotely. An adequate number of staff members was available in the offices during the period where employees were working on a roster, adhering to the safety regulations imposed by the government. It was revealed that the USJ library staff has successfully carried out their duties online during the pandemic with the help of the IT infrastructure. In conclusion, work is challenging during a global pandemic, nonetheless, there are ways and means to overcome these challenges. Communication media and developments in the IT play a vital role here.
Women's representation in local government in Sri Lanka: a study on the new (local government) electoral system
Authors: Gunasekera A.A.S. Abeysinghe
Published: August 2024

The female population of Sri Lanka is 51.6%. Women are well represented in a variety of sectors, such as education, health, etc. Women's presence in political institutions is low, despite the fact that it is considerable in grassroot level political activities. In light of the rising female population, it is by no means adequate. To address this issue, Sri Lanka's local government entities now have a mixed election system and a 25% female quota system under the Local Government Election (Amendment) Act No. 01 of 2016 and No. 16 of 2017. It was first put into practice in the 2018 local elections. The goal of this study was to determine whether the aforementioned constitutional provisions have resulted in a numerical increase of 25% in the representation of women in local government, whether the quality of participation has increased as a result, and whether these provisions will result in the creation of a new, promising women's representation in the future national politics. It is important to examine whether the 25% women's representation quota system introduced by the aforementioned constitutional provision has grown numerically and whether the stated goals have been achieved in practice with regard to women's representation. For this study, both primary and secondary data were used. A questionnaire based on 60 selected delegates from 12 local governing bodies was used to gather primary data in the Kalutara district. Simple statistical techniques were used to analyze quantitative data and information, and descriptive techniques were used to analyze quantitative data and information. MS Excel program was used to analyze the primary data. New constitutional provisions have resulted in a numerical increase of 25% for women's representation in local government bodies. It evolved from elected officials. Although the number of women in leadership positions has increased, their qualitative participation has not. It is observed that the level of quality participation has been hampered. The development of a women's representation that can inspire fresh optimism for tomorrow's politics on the national level, is not at a satisfactory level. Therefore, the constitutional measures that were enacted to promote women's representation have not actually achieved their intended goals.