bluuebunny/crossref_metadata_2025 huggingface dataset:
An Examination of Business Professors' Experiences with Remote Teaching under COVID-19: Lessons Learned for the Future
Authors:   , Churchill Christina
Published: February 2025

During the COVID-19 pandemic in the spring of 2020, universities throughout the United States closed their campuses and transitioned their face-to-face courses to remote learning. The unprecedented transition created a unique learning and teaching environment. This case-based qualitative study investigates the experiences of business professors from a prestigious school of business that taught during the transition. Findings derived from the digital Likert survey instrument completed by all the business faculty and semi-structured interviews of selected business faculty. Some of the topics of the survey and interviews included communicating with students, developing the learning management system course content, delivering asynchronous material, delivering synchronous classes, and providing instructional feedback. Findings included a significant growth in business professor's perceived skillset in almost all topics, an interest in further developing skills, and an interest in adopting the new skills in future face-to-face courses. Through NVIVO analysis of the interviews, four thematical elements were identified: faculty efficacy, faculty training, course delivery, rapport. The study investigated a deep wholistic view of the data presented and provided an extensive in-depth description of the social phenomenon. A practical framework for incorporating the identified themes was developed for business schools needing to establish and maintain online business programs.
The Historical Significance of the Compositions for Clarinet by Nguyen Phuc Linh in Vietnamese Instrumental Music
Authors:   , Trần Quang
Published: February 2025

The document provides an annotated bibliography of the compositions for clarinet by Dr. Nguyen Phuc Linh, one of Vietnam's foremost contemporary classical musician. Brief biography of Nguyen and his music aesthetic are also included. The dissertation also provides an overview of Vietnamese music and instrumental music.
Sounding the Ancestors: Sangpuy Katatepan Mavaliyw and the Ancestral Spirit Imaginary
Authors:   , Chen Yang T.
Published: February 2025

Sangpuy Katatepan Mavaliyw is a Taiwanese Aboriginal pop artist of the Pinuyumayan ethnic group. His albums have been acclaimed by Aboriginal listeners and Han-Taiwanese mainstream music critics for capturing the traditional Aboriginal sound and evoking the presence of the ancestors. In this thesis, I explore why Sangpuy's songs are understood to evoke ancestral spirit imaginary using a semiotic approach. I compare his music to traditional Pinuyumayan music such as pa'ira'iraw and shamanic songs to demonstrate how he uses similar musical gestures to evoke the sense of ancestral spirits. Other sonic elements such as the inclusion of the soundscape of a Pinuyumayan village provides a direct link to the lived experiences of the Pinuyumayan. I also position Sangpuy's music in the broader context of nationalism in Taiwan and how Sangpuy uses his music to negotiate Aboriginal issues such as land rights and environmentalism. Through this analysis, I demonstrate how Taiwanese Aborigines are incorporating their Indigenous ideology into popular music to carve out a space for themselves in Taiwanese society and garner more support for Indigenous rights in Taiwan.
Tribo-Corrosion of High Entropy Alloys
Authors:   , Shittu Jibril
Published: February 2025

In this dissertation, tribo-corrosion behavior of several single-phase and multi-phase high entropy alloys were investigated. Tribo-corrosion of body centered cubic MoNbTaTiZr high entropy alloy in simulated physiological environment showed very low friction coefficient (~ 0.04), low wear rate (~ 10-8 mm3/Nm), body-temperature assisted passivation, and excellent biocompatibility with respect to stem cells and bone forming osteoblast cells. Tribo-corrosion resistance was evaluated for additively manufactured face centered cubic CoCrFeMnNi high entropy alloy in simulated marine environment. The additively manufactured alloy was found to be significantly better than its as-cast counterpart which was attributed to the refined microstructure and homogeneous elemental distribution. Additively manufactured CoCrFeMnNi showed lower wear rate, regenerative passivation, less wear volume loss, and nobler corrosion potential during tribo-corrosion test compared to its as-cast equivalent. Furthermore, in the elevated temperature (100 °C) tribo-corrosion environment, AlCoCrFeNi2.1 eutectic high entropy alloy showed excellent microstructural stability and pitting resistance with an order of magnitude lower wear volume loss compared to duplex stainless steel. The knowledge gained from tribo-corrosion response and stress-corrosion susceptibility of high entropy alloys was used in the development of bio-electrochemical sensors to sense implant degradation. The results obtained herewith support the promise of high entropy alloys in outperforming currently used structural alloys in the harsh tribo-corrosion environment.
Unlocking Digital Literacy: A Multiple Case Study of Digital Literacy Instruction and the Interactive Decision Making of Teachers in a Texas Charter School
Authors:   , Stone Barbara K.
Published: February 2025

The rapid expansion of computers and digital technology requires citizens to be digitally literate. Teachers must prepare students for a digital world despite the lack of consensus on a definition or its components. This multiple case study explored the digital literacy instruction and interactive decision making of teachers with varied levels of expertise. Each participant completed a survey and the General Decision Making Style Questionnaire prior to a series of interviews and classroom observations. Findings from a qualitative analysis of the data suggest variations in the use of digital literacy components during instruction and that skills are related to one another. Findings also indicate similarities and differences in interactive decision making and teaching expertise behaviors related to instruction. Based on these findings, recommendations to better promote digital literacy are directed toward teachers, administrators, teacher preparation institutions, and future researchers. Current events emphasize the need for increased efforts in turning the key of digital literacy for students.
Document and Information Experience in Virtual Zenanas: An Exploration of a Diaspora Small World
Authors:   , Kizhakkethil Priya
Published: February 2025

The word diaspora is currently understood as the large scale voluntary movement of people, along with capital and goods due to the mechanisms of globalization. Adopting a diaspora, gender and leisure perspective, this dissertation looked at the information and document experiences of a particular fan community of women belonging to the Indian diaspora and the online spaces created and occupied by them (fan fiction blogs which can be viewed as book clubs). The study also looked at memory making and documenting of the same as a part of document experience, resulting in what can be termed as "serendipitous memory archives." The blogs hosting fan fiction and the mediated practices they support were viewed as documents for the study. The online spaces were conceptualized as small worlds and the theoretical framework used for the study consisted of a preliminary model of a small world (based on literature review and my understanding of the world under study), information experience as a concept as well as document experience models. The results show that social ties play a big role in the information and document experience, while memory making and documenting of the same are also seen to happen as part of the document experience. The results also show that adopting a document perspective enables us to see the myriad ways in which information is experienced, freeing us from considering as information only that which helps us in meeting a purpose or which fills a gap. Implications and suggestions for future research are discussed.
Using Kidpower® Social Narratives to Teach Individuals with Autism about Bullying
Authors:   , Anderson Chelsi
Published: February 2025

Individuals with autism spectrum disorder (ASD) are at an increased risk to be victims of bullying due to the core characteristics of the disorder. Prior research has focused on understanding bullying from the perspectives of individuals with ASD, parents, and practitioners through interviews and questionnaires. However, limited evidence exists using interventions to teach individuals with ASD about how to identify and respond to bullying. This study employed Kidpower® bullying narratives to teach individuals with ASD how to identify and respond to various bullying scenarios. Kidpower was selected to provide practitioners with a pre-established curriculum to utilize, rather than creating materials for each student. A multiple probe design across three participants was utilized to (a) teach individuals with ASD how to identify and respond to bullying drawings on Kidpower narratives, and (b) add an experimental study to the limited literature base pertaining to strategies for teaching about bullying to individuals with ASD. A fourth participant was also included as a case study. Progress for all participants was measured using the percentage of correct responses to 10 questions. Three out of four participants reached the mastery criterion of 90% over two consecutive sessions. Sessions for the fourth participant concluded after seven intervention sessions due to the COVID-19 pandemic. Many modifications were made to the original study design including changing the wording of the dependent variable and using more simple stories. No modifications were made to the actual stories. This study indicates the Kidpower narratives are helpful in teaching individuals with ASD who also meet certain criteria based on verbal comprehension. However, additional information is necessary in order to assess understanding of bullying.
Crafting Downtown Denton: An Exploration of Craft Beer Consumption as an Activity in Denton, Texas
Authors:   , Hooker Jenny
Published: February 2025

Craft beer as a cultural phenomenon coincided with the revitalization of downtown Denton, Texas. Much of the existing literature on craft beer and its relation to place focuses on breweries rather than bars. This exploratory study aims to explain why people consume craft beer, what factors influenced its popularity in Denton despite little beer production, and to explore considerations for the promotion of Denton as a craft beer destination and making downtown an inclusive space. Data was collected through interviews, participant observation, and a survey. Findings indicated that craft beer consumption in Denton is largely related to perceptions of community, localism, and knowledge seeking. The ethos of the craft beer industry closely aligned with participants' perceptions of Denton as a city.
Thermal Transport Properties Enhancement of Phase Change Material by Using Boron Nitride Nanomaterials for Efficient Thermal Management
Authors:   , Barhemmati Rajab Nastaran
Published: February 2025

In this research thermal properties enhancement of phase change material (PCM) using boron nitride nanomaterials such as nanoparticles and nanotubes is studied through experimental measurements, finite element method (FEM) through COMSOL 5.3 package and molecular dynamics simulations via equilibrium molecular dynamics simulation (EMD) with the Materials and Process Simulations (MAPS 4.3). This study includes two sections: thermal properties enhancement of inorganic salt hydrate (CaCl2∙6H2O) as the phase change material by mixing boron nitride nanoparticles (BNNPs), and thermal properties enhancement of organic phase change material (paraffin wax) as the phase change material via encapsulation into boron nitride nanotubes (BNNTs). The results of the proposed research will contribute to enhance the thermal transport properties of inorganic and organic phase change material applying nanotechnology for increasing energy efficiency of systems including electronic devices, vehicles in cold areas to overcome the cold start problem, thermal interface materials for efficient heat conduction and spacecraft in planetary missions for efficient thermal managements.
EFEKTIVITAS PELATIHAN PEMBUATAN OVITRAP DI SANGGAR BELAJAR AMI KULIM PENANG MALAYSIA
Authors: Sukesi Tri Wahyuni , Sa'dani Olivi Sabilla , Rachmawati Wiwik Suci , Fitri Rika Yulianti
Published: February 2025

Dengue fever cases in Malaysia experienced a staggering surge of 150.7%, which presented a significant public health threat. One potential solution was to educate the populace about the use of Ovitrap as a means to regulate and diminish Aedes aegypti mosquito populations. A study was undertaken to evaluate the efficacy of teaching ovitrap construction at the Ami Kulim learning studio in Penang, Malaysia. The research employed a quasi-experimental approach, utilizing a one-group pretest-posttest design with a sample size of 24 children. Data analysis involved the utilization of average and Wilcoxon tests. Results unveiled a notable disparity in the comprehension of ovitrap production before and after the instructional sessions (p-value = 0.005). Further investigation indicated that 16 participants had enhanced their understanding, while 5 exhibited a decline, and 3 remained unchanged. Consequently, it was justifiable to conclude that there existed a substantial shift in the knowledge of ovitrap assembly following the training intervention
PENGELOLAAN SAMPAH DENGAN KONSEP 3R DI KOTA SAMARINDA
Authors: Wijaya Doni , Apriyani Apriyani , Suyatni Andi
Published: February 2025

Waste refers to objects or substances that are no longer used and thrown away because they have no further function, such as packaging, dirt or leaves. In accordance with this definition, in Article 1 of Law Number 18 of 2008 concerning Waste Management, waste is defined as residue from daily human activities or the result of natural processes in solid form. According to the Ministry of Environment and Forestry in 2019, in 2018 it estimated 85,000 tons of waste, assuming an increase of 150,000 tons/day in 2025. This type of research uses qualitative methods with a case study research design. The main informants in this research were residents of RT 76, Sungai Pinang Dalam Village, Samarinda City, supporting informants were the Head of RT 76, Sungai Pinang Dalam Village and key informants at the Temindung Sanitarian Community Health Center, Sungai Pinang Dalam Village. The technique for selecting informants in this research is Purposive Sampling. Data analysis technique using Miles and Huberman theory, 2019. Residents of RT 76, Sungai Pinang Dalam Village, never implement reuse activities in their daily lives, residents of RT 76, Sungai Pinang Dalam Village, never implement reuse activities at home due to lack of waste management facilities and personnel. waste management officers, residents of RT 76 Sungai Pinang Dalam Subdistrict do not carry out recycling activities at home. From this research, it is hoped that the residents of RT 76 Sungai Pinang Dalam Village can implement waste management using the 3R concept.
ANALISIS KONSENTRASI DAN DISTRIBUSI SPASIAL LOGAM BERAT DALAM AIR TANAH DI SUB DAS GALEH-TORONG, JAWA TENGAH, INDONESIA
Authors: Wacano Dhandhun , Febrianti Nedhia , Ardhayanti Lutfia Isna
Published: February 2025

Groundwater is the most desired natural resource to fulfill daily needs of humans in the world. The lake of Rawa Pening has undergone a decline in water quality due to both external and internal activities that pose a risk of pollution. Environmental pollution in the surrounding lake of Rawa Pening is not only indicated by the proliferation and expansion of water hyacinth plants but also from heavy metals. This study examined the concentration and spatial distribution of Cd, Cu, Pb, and Fe in the groundwater of Sub DAS Galeh-Torong, the western part of Rawa Pening, to better understand the threats in the Rawa Pening Lake circumstance. A total of 18 groundwater samples were collected and analyzed using atomic absorption spectrophotometry (AAS). Inverse distance weighted (IDW) was applied to reveal the spatial distribution combined with the standard threshold classification pattern. The result showed that the concentration of Cd, Pb, and Fe was exceeding the Indonesian standard for drinking water, while Cu did not. Further, the spatial distribution pattern revealed that the eastern part of the study area was consistently in high concentration for all of the metals. The location is flat in morphology and is associated with intensive human activities such as settlement areas, agriculture areas, and tourism areas. The impact of heavy metal exposure through drinking water should become a highlighted issue in the study area since the toxicity of heavy metals can have a lethal impact. The information of concentration and spatial distribution is crucial to the better management of water resource security and sustainability.
ANALISIS KEJADIAN INDEKS STANDAR PENCEMAR UDARA (ISPU) SEBAGAI INFORMASI MUTU UDARA DI KOTA PEKANBARU
Authors: Ratna Masni Fenny , Herniwanti Herniwanti
Published: February 2025

Air quality problems that occur in the world today are always associated with the development of large cities and almost no large city in the world is free from symptoms of air pollution. The level of air quality is getting lower day by day due to high levels of air pollution. Pekanbaru City is one of the cities in Indonesia that is prone to air pollution. This research aims to analyze the incidence of the Air Pollution Standard Index (ISPU) as information on air quality in Pekanbaru City. The research method used was collecting primary and secondary data through informants. The research was conducted at the Pekanbaru City Environment and Hygiene Service. Data were analyzed using the fishbone method and the Urgency, Seriousness, Growth (USG) method. The research results show that forest fires are the main priority problem which causes the air pollution standard index (ISPU) in Pekanbaru City to be in the medium category. The conclusion of this research is that forest fires often occur in Pekanbaru City which then causes smog and disrupts air quality, increases pollution levels, and increases the risk of respiratory problems.
Evaluating the Effectiveness of the Teaching Factory Learning Model in Leading Vocational Schools: A Case Study of Agribusiness, Food Crops, and Horticulture Programs
Authors: Irfan Andi Muhammad , Romadin Achmad , Putra Iswahyudi Indra , Baharsyah Nur Intan , Nawi Mohd Zulfakar Mohd
Published: February 2025

Teaching Factory (Tefa) represents a transformative paradigm in vocational education, designed to immerse students in real-world industry settings within the school premises. By integrating practical training directly into the curriculum, Tefa ensures that students gain hands-on experience alongside theoretical knowledge, fostering a comprehensive skill set. This innovative approach not only enhances students' employability but also cultivates a deeper understanding of industry practices, ultimately equipping them with the competencies needed to thrive in their chosen fields. This research reviews the evaluation of the implementation of Tefa learning at leading vocational schools in the Food Crops and Horticulture Agribusiness Study Program. The research method used was evaluation, using interviews, observation, documentation, and questionnaire studies. Based on the results of evaluation research on the implementation of the teaching factory learning model in the food crop and horticulture agribusiness skills program at SMKN A and B, the following can be drawn: Evaluation of the context, input, process, and product components shows promising results with percentages of 85.4%, 83.7%, 86.3%, and 83.4%, respectively. The data showed the effectiveness of practical learning in achieving vocational education goals.
Paradigm Shift: Analyzing Work-Family Conflict Trends with Bibliometric Analysis and Literature Review Highlighting the Future Role’s of Father
Authors: Fauziah Silmi Farhah , Abdullah Ade Gafar , Widiaty Isma
Published: February 2025

Work-family conflict (WFC) is an important area of study in the vocational and human resources professions. This article investigates the complex dynamics of work-family conflict, with a particular focus on the developmental role of fathers in balancing professional responsibilities and family duties. This research uses bibliometric analysis methods and literature reviews to analyze the dynamics, research activities, and trends in research topics related to work-family conflict in a more comprehensive namely from 1985 to 2023. This research uses the keywords "work-family balance" OR "work-family conflict" OR "work-family intervention" and uses the Scopus database as the ideal data source for this research. Documents were visualized with VOSviewer and Tableau Desktop software to perform bibliometric analysis on publications, citations, and keywords. A literature review was also carried out regarding research objects, future work, and research gaps in areas that have not been touched by work-family conflict research, especially regarding the role of fathers in work and family life. December 6, 2023, 4405 documents from various types of scientific papers. Research findings show that in the last 38 years, there has been a significant increase in the number of publications discussing work-family conflict. The United States is the most productive country in publishing research related to work-family conflict. Keyword analysis shows that work-family conflict research focuses on the topics of father involvement, work-family balance, and gender. Future research should focus on exploring the impact of corporate policies, demographics, technology, and fatherhood, aiming to develop comprehensive workplace regulations that promote a balanced work-family environment.
Special Job Exchange Strategies for Enhancing Graduate Employability in Vocational High Schools Center of Excellence in Yogyakarta and Central Java
Authors: Suprap Suprap , Sayuti Muhammad , Santosa Budi , Biddinika Muhammad Kunta , Susanto Harry Agus , Hasanah Noviatun
Published: February 2025

This study aims to examine the strategy of the Special Job Exchange (BKK) of the Central Vocational Education Center of Excellence (SMK PK) in Yogyakarta and Central Java in increasing the absorption of graduates in the world of work. The research method used is qualitative descriptive with data collection techniques through interviews with the Principal and Chairman of BKK from 10 PK Vocational education selected through purposive sampling. Data analysis uses Miles and Huberman's interactive model with the help of NVIVO version 12 Plus software. The results of the study show that BKK's main strategy includes cooperation with industry, development of job preparation programs, strengthening students' soft skills and mentality, and the implementation of tracer studies. The challenges faced include students' interests and mentality that need to be improved, limited resources, data and communication management, program synchronization, expansion of industry networks, parental support, and improvement of the quality of graduates. This study concludes that BKK has an important role in increasing the absorption of vocational school graduates, but still faces various challenges that require a comprehensive and collaborative approach to overcome them.
Development of Instruments and Formulas for Data Processing for Vocational Education Alignment
Authors: Kuat Tri , Santosa Budi , Susatya Edhy , Sutrisno Djoko , Purnawan Purnawan , Budiastuti Pramudita , Triatmaja Adhy Kurnia
Published: February 2025

The very rapid development of DUDI demand quality unit education vocation. Especially on the relevance in accordance with DUDI needs. SMK as printer graduates who are ready Work need do effort alignment for increase absorption graduates. Research objectives This is explore alignment on units education vocational, developing instrument alignment education vocation, and make guidelines alignment education vocational. The method used in study This is a mixed method design with exploratory sequential design approach. The results of the study show that results research data analysis qualitative explore related to 12 categorizations and 40 coding. Development instrument alignment education vocation FGD results consist of of 7 components / dimensions and 23 items. Instrument has tested in a way reliable through proof validity and reliability. Results of the proof validity Contents the 7 (seven) experts were analyzed use index Aiken V average 0.89 > 0.8 which means own validity high. Proof second using EFA with KMO value 0.956 > 0.5 and CFA has good fit criteria X2, GFI, AGFI, CFI, TLI, CMIN/DF, and RMSEA values > cut of value. Measurement results alignment education vocation with use results development instrument the to 77 vocational schools and their DUDI partners that is show quadrant 2, meaning that SMK and DUDI have do alignment in accordance with indicator development instrument.
Designing Web-Based Exposure Triangle Simulation for Audio and Video Processing Techniques Course at Vocational High School with a Constructivist Approach
Authors: Luthfi Muhammad Zain Nur , Aristyagama Yusfia Hafid , Budiyanto Cucuk Wawan
Published: February 2025

This research is motivated by the need for adequate instructional tools and learning media in photography course at Vocational High School in Surakarta. The objectives of this research are to (1) design learning media with a constructivist approach for the exposure triangle learning material and (2) produce a learning media design that aligns with the needs of teachers and students. The research utilizes the Research and Development (R&D) method with a prototype development model involving six stages: communication, quick plan, modeling quick design, construction of prototype, and deployment delivery & feedback. Data were collected through interviews to determine the needs for media design, and the results were used to design learning media for the subject of Audio and Video Processing Techniques. The design was subsequently validated by subject matter experts and media experts before being tested on 31 Multimedia students in grade 12 at Vocational High School. The testing results indicated positive percentages from subject matter experts (82%) and media experts (85%), with an average System Usability Scale (SUS) score of 75.73. This suggests that the learning media is suitable for use and well-received by users. The media addresses practical challenges, such as limited access to DSLR cameras, and provides interactive simulations to bridge theoretical understanding and practical application.
Giving children the chance
Authors: Silver Rebecca
Published: February 2025

Rebecca Silver emphasises the need to focus on children's oral health.
The pros and cons
Authors: Harraghy Charlotte
Published: February 2025

Charlotte Harraghy details her journey from full time lead dental nurse to part time locum dental nurse.
Lessons for life
Authors: Wilson India
Published: February 2025

India Wilson reflects on learning from our mistakes.
Head over heels
Authors: Fisher Rochelle
Published: February 2025

Rochelle Fisher details how to make patients love their dental visits.
Loving your smile
Authors: Lane Laura
Published: February 2025

Laura Lane gives some tips on showing your oral health some love.
Fighting the spread
Authors: Kumar Nitesh
Published: February 2025

Nitesh Kumar outlines the management of dental infections and abscesses.

Aim

To understand the principles of recognition and treatment of patients with spreading dental infection in the hospital and general practice environment using the ‘ABCDE’ approach.

Objective

Identify common signs of spreading dental infection. Describe how to assess the patient using the ‘ABCDE’ approach. Discuss the treatment and management of a patient with a spreading infection from a dental abscess.
Understanding the risks
Authors: Waters Rebecca
Published: February 2025

Rebecca Waters emphasises the importance of effective hygiene protocols.
A healthier approach
Authors: Watwood Jacob
Published: February 2025

Jacob Watwood emphasises the importance of an educated approach to processed foods.
Time to Take The Plunge!
Authors: Flodell Henrik
Published: February 2025

Many MCU users are yet to take the plunge into the world of AI, so what can MCU manufacturers do to accelerate AI adoption?
Smarter Construction
Authors: Clement Richard
Published: February 2025

How IoT is transforming the construction industry and improving decision-making for the workforce.
Bigger, Better, Bolder
Authors: Tyler Neil
Published: February 2025

As the world’s leading trade fair for the electronics industry turns 60, 2024 is set to be the biggest yet.
A Simplified Design Process
Authors: Tyler Neil
Published: February 2025

The CELUS Design Platform offers a simplified electronics design process for engineers.
Leveraging Massive Information from Diverse Devices: An Intelligent, Low-Cost, Voice-Controlled Autonomous Wheelchair for Enhanced Mobility
Authors: Sattar Asim , Ali Sayed Mazhar , Chowdhry Bhawani Shankar , Rahu Mushtaque Ahmed , Karim Sarang
Published: February 2025

This paper explores the development of an intelligent, low-cost, voice-controlled autonomous wheelchair designed to enhance mobility for individuals with disabilities. The wheelchair integrates diverse data from multiple devices, including a voice recognition module, joystick module, ultrasonic sensors, and solar panels, to provide a comprehensive and adaptive user experience. Leveraging massive information from these interconnected devices, the wheelchair employs artificial intelligence and machine learning algorithms to refine its responsiveness to users’ voice commands, improving adaptability to individual speech patterns over time. The solar panels contribute to the wheelchair’s sustainability by harnessing solar energy for battery charging, ensuring prolonged operation without frequent recharging. This study details the design methodology, fabrication process, and performance testing of the wheelchair, showcasing its capabilities such as an optimum speed of 0.89 m/s, a load capacity of 20 kg, and effective obstacle avoidance. Additionally, the paper addresses the wheelchair’s advantages, potential limitations, and future enhancements. By leveraging diverse data sources and intelligent systems, this innovative wheelchair aims to significantly improve mobility, individuality, and worth of life for beings with mobility challenges and the elderly.
Models Prediction and Estimation of ENSO and Karachi Rainfall Cycles Through AR-GARCH and GARCH Process
Authors: Zaffar Asma , Khan Rizwan , Malik Nimra , Amir Muhammad , Uddin Vali , Asif Muhammad
Published: February 2025

Karachi rainfall and ENSO cycles have influenced on earth climates. The effects of El-Nino Southern Oscillation (ENSO) on the rainfall climate system of the Karachi region are analyzed. The research is working on the ENSO and rainfall Karachi region massive datasets information gathered for the period 1961–2021, which are break down into cycles (1st – 10th). The novelty of this study is to analyze the factor of the ENSO effect, which is parallel to the Karachi rainfall region, as well as other factors such as deforestation. ENSO-Rainfall Karachi region cycles are also measured via statistical techniques. The estimate Model and forecasting of volatility through the comparative study of AR(R) – GARCH (P, Q) and GARCH (P, Q) Models. Effect of El Niño-Southern Oscillation (ENSO) on Karachi Rainfall as a case study suitable to research on its behavior for estimating forecast evolution of ENSO-Rainfall Karachi region cycles. The technique of AR(R) – GARCH (P, Q) and GARCH (P, Q) process is feasible for ensuring the appropriateness of the impacts on Karachi region rainfall and ENSO cycle. Different value of AR(R) – GARCH (P, Q) and GARCH (P, Q) Models is used. RMSE, MAE, MAPE and U Test are calculated to describe which technique provide the maximum accuracy of forecasting and Predictions. Most of the forecasting evaluation describe that GARCH (P, Q) has highest accuracy to predicting and forecasting ENSO and Karachi Rainfall Cycles as comparative others three models. This study confirms that, the duration of ENSO years, the tendency of Karachi region rainfall is reduced. The study shows that the relationship between ENSO-Rainfall Karachi region cycles are uncertainty. In the immediate year following the El Nino event, the July and September months, as well as the summer monsoon season, had a statistically significant 90% rainfall deficit.
Forecasting Karachi’s Air Temperature Variation: Leveraging Mobile and Multimedia Dataset for Global Warming Insights
Authors: Zaffar Asma , Ahmed Shakil , Rafique Aysha , Imran Muhammad , Amir Muhammad , Uddin Vali
Published: February 2025

In Karachi, the transport and building industries have a major impact on carbon dioxide (CO2) emissions and greenhouse gas emissions. This study is innovative in that it examines how air temperature changes over time and forecasts the maximum and minimum temperatures in Karachi. Specifically, it looks at 60 years’ worth of mean monthly maximum and minimum air temperatures in Karachi, spanning from (1961 to 2020) dataset classes. The monthly average air temperature in Karachi, both at its minimum and maximum, remains constant. Using dataset from the Pakistan Metrological Department (PMD) and, the ARMA (p, q) model technique was used to assess forecasting and modelling the behavior of the maximum and minimum air temperatures in Karachi. The least values Akaike information criterion (AIC), the Bayesian Schwarz information criterion (SIC), and the Hannan Quinn information criterion (HIC) are used to describe how adequate the model is. Additionally, the Durbin-Watson (DW) test is used. The average monthly maximum and minimum air temperature in Karachi are strongly correlated, as indicated by DW values (<2). The lowest and maximum monthly average air temperatures in Karachi are predicted using diagnostic checking techniques such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Theil’s U-Statistics. The results indicate that there is a strong correlation between the air temperature and previously measured values, with Theil’s U-Statistics values for each month lying close to zero. This study is a great resource for observing how air temperature affects global warming. This study also highlights the the innovative aspect of utilizing vast datasets, possibly including those from mobile and multimedia sources, to address a critical environmental issue. It also emphasizes the predictive modelling aspect of your study, which is central to understanding and mitigating global warming effects.
Privacy and Performance in Virtual Reality: The Advantages of Federated Learning in Collaborative Environments∗
Authors: Flores-Martin Daniel , Díaz-Barrancas Francisco , Pardo Pedro J. , Berrocal Javier , Murillo Juan M.
Published: February 2025

Federated Learning has emerged as a promising approach for maintaining data privacy across distributed environments, enabling training on a diverse range of devices from high-performance servers to low-power gadgets. Despite its potential, managing numerous data sources can strain these devices, particularly those with limited capabilities, leading to increased latency. This is especially critical in virtual reality, where real-time responsiveness is crucial due to the need for constant data connectivity. Historically, virtual reality systems have relied on tethered computer setups, restricting their flexibility and the benefits of wireless technology. However, recent advancements have enhanced the computational power of VR devices, allowing them to perform certain tasks independently. This work explores the feasibility of training a neural network on VR devices, using a federated learning approach, to develop a collaborative model aggregated and stored in the cloud. The goal is to assess the computational demands and explore the potential and constraints of leveraging VR devices for artificial intelligence applications.
Code Smell-guided Prompting for LLM-based Defect Prediction in Ansible Scripts
Authors: Hong Hyunsun , Lee Sungu , Ryu Duksan , Baik Jongmoon
Published: February 2025

Ensuring the reliability of infrastructure as code (IaC) scripts, like those written in Ansible, is vital for maintaining the performance and security of edge-cloud systems. However, the scale and complexity of these scripts make exhaustive testing impractical. To address this, we propose a large language model (LLM)-based software defect prediction (SDP) approach that uses code-smell-guided prompting (CSP). In some cases, CSP enhances LLM performance in defect prediction by embedding specific code smell indicators directly into the prompts. We explore various prompting strategies, including zero-shot, one-shot, and chain of thought CSP (CoT-CSP), to evaluate how code smell information can improve defect detection. Unlike traditional prompting, CSP uniquely leverages code context to guide LLMs in identifying defect-prone code segments. Experimental results reveal that while zero-shot prompting achieves high baseline performance, CSP variants provide nuanced insights into the role of code smells in improving SDP. This study represents exploration of LLMs for defect prediction in Ansible scripts, offering a new perspective on enhancing software quality in edge-cloud deployments.
Overcoming Terrain Challenges with Edge Computing Solutions: Optimizing WSN Deployments Over Obstacle Clad-Irregular Terrains
Authors: Tyagi Shekhar , Srivastava Abhishek
Published: February 2025

Wireless sensor networks (WSNs) are primarily used for real time data collection and monitoring, especially in environments where direct human involvement is challenging due to harsh conditions. Optimized deployment of WSN nodes is a long standing issue and several ideas have been proposed to address this. Existing deployment strategies are mostly based on the assumption that the terrain for deployment of nodes is perfectly regular. This is an impractical assumption and in this paper we address this gap by proposing a deployment strategy for WSN nodes over irregular terrains. Such terrains comprise uneven elevations, morphology and vegetation based obstacles, rocky obstacles, and so on. Our approach comprises extraction of satellite images of the region of interest (RoI) from Google Earth and generating a KML file (Keyhole Markup Language) for the RoI containing the latitude, longitude, and elevation values of each and every point in the RoI. These points are used to generate a contour map of the RoI containing detailed terrain morphology. A radio frequency path loss model in combination with an advanced inverse distance weighted (IDW)-interpolation technique is proposed to ensure connectivity and coverage in such irregular terrains with varying nature of obstacles. The technique effectively detects occlusions and enables effective deployment. This edge computing approach involves real-time decision-making at the network edge (the sensor nodes) leading to a deterministic deployment of motes in diverse terrain conditions with various obstacles. The approach is compared with existing deployment techniques and the results validate its efficacy. To demonstrate the practicality of our approach, we have also implemented a deployment in real-world environmental conditions, validating our approach in challenging terrains.
Software Practice and Experience on Smart Mobility Digital Twin in Transportation and Automotive Industry: Toward SDV-empowered Digital Twin through EV Edge-Cloud and AutoML
Authors: Kang Jonggu
Published: February 2025

A digital twin is a virtual representation of a physical asset that serves as a pivotal convergence technology that facilitates real-time prediction, optimization, monitoring, control, and improved decision-making. It can be widely applied to various domains, such as automotive, manufacturing, logistics, and smart cities. The automotive industry, in particular, is actively integrating digital twins throughout the product life cycle, from research and development, production, sales, and services to enhance the overall customer experience. This paper presents insights and lessons learned on software practice and experience related to implementing smart mobility digital twins, focusing on the potential of transportation digital twins built from data collected by electric vehicles (EVs) with EV edge cloud and automated machine learning (AutoML). Despite current limitations in data sufficiency, we forecast that, as the SDV trend accelerates and the adoption of EVs increases, the digital twin will become essential for the intelligent transportation system (ITS) in future smart cities, enabling accurate traffic predictions even in areas with limited road infrastructure. The successful integration of real-time data, high-performance prediction models, and automated service environments will enhance the effectiveness toward an SDV edge-empowered transportation digital twin.
Diversity of bacterial endosymbionts of Bemisia tabaci from some regions in Indonesia and the genetic diversity of Wolbachia endosymbiont
Authors: HIDAYATI NADIYAH , SOFFAN ALAN , ARWIYANTO TRIWIDODO , WIJONARKO ARMAN
Published: February 2025

Abstract. Hidayati N, Soffan A, Arwiyanto T, Wijonarko A. 2024. Diversity of bacterial endosymbionts of Bemisia tabaci from some regions in Indonesia and the genetic diversity of Wolbachia endosymbiont. Biodiversitas 25: 4304-4314. Bemisia tabaci Gennadius 1889 (Hemiptera) is an insect that associates with endosymbiont bacteria to meet nutritional needs lacking in its food. The species has both primary and secondary endosymbionts, with infections showing significant dynamism among populations. Wolbachia is a facultative endosymbiont that infects 66% of all insect species, including B. tabaci, which is a key focus of this study. The study aimed to investigate the diversity of bacterial endosymbiont infections in several B. tabaci populations collected from Java and Sumatra, Indonesia, to explore the genetic diversity of Wolbachia endosymbiont. The B. tabaci population was collected from 17 districts in Java and Sumatra, and to determine the presence of bacterial endosymbiont was determined through molecular analysis using specific primers. The study involved a comprehensive methodology, including the construction and comparison of multiple alignment sequences, phylogenetic analysis, and genetic differentiation of Wolbachia in 10 representative populations of B. tabaci, which were then compared with Wolbachia sequences from other countries and arthropods. The results showed the presence of various bacterial endosymbionts found among the B. tabaci populations, including Candidatus portiera, Arsenophonus sp., Cardinium sp., Hamiltonella sp., Wolbachia sp., and Rickettsia sp. Wolbachia was found in all B. tabaci samples, while other endosymbiont bacteria varied quite widely among all B. tabaci population samples. The genetic diversity of Wolbachia of B. tabaci from Indonesia showed close relatedness and has a different clade from Wolbachia from other countries and arthropods. The population structure of Wolbachia populations from Java was genetically related and similar to that of Wolbachia from Sumatra.
Effectiveness of micro-nanobubble aeration and phytoremediation in treating filtered palm oil mill effluent on bacteria diversity and water properties
Authors: KARNO RIA , ARISOESILANINGSIH ENDANG , MUSTAFA IRFAN , SISWANTO DIAN
Published: February 2025

Abstract. Karno R, Arisoesilaningsih E, Mustafa I, Siswanto D. 2024. Effectiveness of micro-nanobubble aeration and phytoremediation in treating filtered palm oil mill effluent on bacteria diversity and water properties. Biodiversitas 25: 4340-4349. Palm oil waste treatment has gained much significance in recent years, as the palm oil industry has been on the rise. In addition, the biological removal of open treatment ponds and the subsequent activity of microorganisms, mainly bacteria, have been given special consideration. Therefore, this study aimed to evaluate the effectiveness of phytoremediation (Phyt) and micro-nanobubble (MnB) aeration technologies on the improvement of physicochemical properties of filtered palm oil mill secondary effluent (POMSE). The effect of the technologies on bacteria density and composition using a laboratory-scale reactor with 24-hour incubation was also explored. Metagenomic analysis using Next Generation Sequencing (NGS) and traditional methods, such as Total Plate Count (TPC) was used to evaluate bacteria density and composition. Physicochemical analyses were then conducted using an Indonesian standard method (SNI). The results showed that the MnB+Phyt reactor was more effective in reducing waste pollutants and meeting waste standards than control, MnB, or Phyt reactors after 24 hours. In addition, TPC counts showed that the highest bacteria density occurred at the 6-hour mark in the MnB+Phyt, Phyt, or MnB reactors compared to the control. Despite variations in bacteria composition among reactors, the dominant phylum and family were Pseudomonadota, Comamonadaceae, Zoogloeaceae, and Alcaligenaceae. The results also showed that MnB treatment significantly increased alpha diversity and altered genera composition. In conclusion, MnB aeration and phytoremediation technologies effectively reduced filtered POMSE pollutants with a removal percentage ranging from 28.37% to 56.69% under 24-hour treatment.
Population dynamics of Bactrocera spp., and parasitization efficacy of Opius sp. (Hymenoptera: Braconidae) in citrus varieties
Authors: RAHMAWATI YUNITA FERA , LEKSONO AMIN SETYO , RIZALI AKHMAD , GAMA ZULFAIDAH PENATA
Published: February 2025

Abstract. Rahmawati YF, Leksono AS, Rizali A, Gama ZP. 2024. Population dynamics of Bactrocera spp., and parasitization efficacy of Opius sp. (Hymenoptera: Braconidae) in citrus varieties. Biodiversitas 25: 4350-4359. Citrus crops play an important role in the agricultural sector of Indonesia. However, farmers face major challenges due to the infestations by the fruit fly, Bactrocera spp., which result in significant economic losses. Therefore, this research aimed to identify the periods of fruit fly infestation and evaluate the effectiveness of parasitoids. The population dynamics of Bactrocera spp. and parasitoids were analyzed across four citrus varieties in Malang District from January to December 2023. Bactrocera dorsalis (Hendel, 1912), Bactrocera carambolae Drew & Hancock, 1994, Bactrocera umbrosa (Fabricius, 1805), and Bactrocera cucurbitae (Coquillett, 1899) were identified using pheromone traps and rearing methods. The results showed that B. dorsalis was the dominant species in all citrus varieties, with the highest abundance in siam madu variety. The Duncan Multiple Range Test (DMRT) tested the fluctuation of Bactrocera spp. and the Bray-Curtis Index was used to measure the abundance in each variety, which was then visualized using Non-metric Multidimensional Scaling (NMMS). Meanwhile, Opius sp. exhibited parasitism rates ranging from 13.52 to 69.10% in the four citrus varieties. Environmental factors, variety characteristics, and monoculture influenced fruit fly abundance and parasitoid effectiveness. July was an important period for pest management interventions, as Opius sp. entered an active time to control fruit flies. Understanding the population dynamics of these pests can help predict outbreaks and optimize the timing of control measures using parasitoids.